feat(config): enable memory tool by default

- Change enable_memory_tool default from False to True
- Update tests to reflect new default behavior
- Since this is a personal instance with no other users, opt-out
  makes more sense than opt-in for a requested feature

.github/workflows/build.yml

@@ -0,0 +1,83 @@
+name: Build Nanobot OAuth
+
+on:
+  push:
+    branches: ['main']
+  pull_request:
+    branches: ['main']
+  schedule:
+    - cron: '0 3 * * *'
+  workflow_dispatch:
+
+env:
+  REGISTRY: git.wylab.me
+  IMAGE_NAME: wylab/nanobot
+  BUILDKIT_PROGRESS: plain
+
+jobs:
+  build:
+    runs-on: [self-hosted, linux-amd64]
+    timeout-minutes: 15
+    permissions:
+      contents: read
+      packages: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ secrets.REGISTRY_USERNAME || github.actor }}
+          password: ${{ secrets.REGISTRY_PASSWORD || secrets.GITHUB_TOKEN }}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: Dockerfile.oauth
+          provenance: false
+          platforms: linux/amd64
+          cache-from: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache
+          cache-to: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache,mode=max
+          push: ${{ github.event_name != 'pull_request' }}
+          tags: |
+            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest
+            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}
+
+  cleanup:
+    if: github.event_name == 'push' || github.event_name == 'schedule'
+    runs-on: [self-hosted, linux-amd64]
+    needs: build
+    steps:
+      - name: Delete images older than 24h
+        env:
+          TOKEN: ${{ secrets.REGISTRY_PASSWORD || secrets.GITHUB_TOKEN }}
+        run: |
+          cutoff=$(date -u -d '24 hours ago' +%s)
+          page=1
+          while true; do
+            versions=$(curl -sf -H "Authorization: token $TOKEN" \
+              "https://${{ env.REGISTRY }}/api/v1/packages/wylab?type=container&q=nanobot&limit=50&page=$page")
+            count=$(echo "$versions" | jq length)
+            [ "$count" = "0" ] && break
+            echo "$versions" | jq -c '.[]' | while read -r pkg; do
+              ver=$(echo "$pkg" | jq -r '.version')
+              # Keep latest and buildcache, only delete SHA tags
+              case "$ver" in latest|buildcache) continue ;; esac
+              created=$(echo "$pkg" | jq -r '.created_at')
+              ts=$(date -u -d "$created" +%s 2>/dev/null || echo 0)
+              if [ "$ts" -lt "$cutoff" ]; then
+                id=$(echo "$pkg" | jq -r '.id')
+                echo "Deleting nanobot:$ver (id=$id, created=$created)"
+                curl -sf -X DELETE -H "Authorization: token $TOKEN" \
+                  "https://${{ env.REGISTRY }}/api/v1/packages/wylab/container/nanobot/$ver" || true
+              fi
+            done
+            [ "$count" -lt 50 ] && break
+            page=$((page + 1))
+          done

.gitignore

@@ -15,6 +15,7 @@ docs/
 *.pyzz
 .venv/
 venv/
+.worktrees/
 __pycache__/
 poetry.lock
 .pytest_cache/

Dockerfile.oauth

@@ -0,0 +1,62 @@
+FROM birdxs/nanobot:latest
+
+# ── Skill dependencies ──────────────────────────────────────────────
+
+# APT: ffmpeg (video-frames, whisper), jq, tmux, build-essential (for go)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ffmpeg jq tmux build-essential procps && rm -rf /var/lib/apt/lists/*
+
+# gh CLI via GitHub official apt repo
+RUN curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg \
+    | dd of=/usr/share/keyrings/githubcli-archive-keyring.gpg && \
+    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main" \
+    > /etc/apt/sources.list.d/github-cli.list && \
+    apt-get update && apt-get install -y gh && rm -rf /var/lib/apt/lists/*
+
+# Go toolchain
+RUN curl -fsSL https://go.dev/dl/go1.23.6.linux-amd64.tar.gz | tar -C /usr/local -xzf -
+ENV PATH="/usr/local/go/bin:/root/go/bin:${PATH}"
+
+# Go tools: blogwatcher, blu (blucli), gifgrep, sonos (sonoscli), wacli, songsee
+RUN go install github.com/Hyaxia/blogwatcher/cmd/blogwatcher@latest && \
+    go install github.com/steipete/blucli/cmd/blu@latest && \
+    go install github.com/steipete/gifgrep/cmd/gifgrep@latest && \
+    go install github.com/steipete/sonoscli/cmd/sonos@latest && \
+    go install github.com/steipete/wacli/cmd/wacli@latest && \
+    go install github.com/steipete/songsee/cmd/songsee@latest
+
+# Pre-built binaries from GitHub releases
+# gogcli (gog)
+RUN curl -fsSL https://github.com/steipete/gogcli/releases/download/v0.9.0/gogcli_0.9.0_linux_amd64.tar.gz \
+    | tar -xzf - -C /usr/local/bin gog
+
+# goplaces
+RUN curl -fsSL https://github.com/steipete/goplaces/releases/download/v0.2.1/goplaces_0.2.1_linux_amd64.tar.gz \
+    | tar -xzf - -C /usr/local/bin goplaces
+
+# himalaya (email CLI)
+RUN curl -fsSL https://github.com/pimalaya/himalaya/releases/download/v1.1.0/himalaya.x86_64-linux.tgz \
+    | tar -xzf - -C /usr/local/bin himalaya
+
+# obsidian-cli (release binary is named notesmd-cli, skill expects obsidian-cli)
+RUN curl -fsSL -o /tmp/obsidian.tar.gz https://github.com/yakitrak/obsidian-cli/releases/download/v0.3.0/notesmd-cli_0.3.0_linux_amd64.tar.gz && \
+    tar -xzf /tmp/obsidian.tar.gz -C /tmp notesmd-cli && \
+    mv /tmp/notesmd-cli /usr/local/bin/obsidian-cli && \
+    rm /tmp/obsidian.tar.gz
+
+# Node tools: oracle, gemini-cli, summarize
+RUN npm install -g @steipete/oracle @google/gemini-cli @steipete/summarize
+
+# Python tools: nano-pdf, openai-whisper
+RUN uv tool install nano-pdf && \
+    uv tool install openai-whisper
+ENV PATH="/root/.local/bin:${PATH}"
+
+# ── Nanobot source ──────────────────────────────────────────────────
+
+COPY pyproject.toml README.md LICENSE /app/
+COPY nanobot/ /app/nanobot/
+RUN uv pip install --system --no-cache --reinstall /app psycopg2-binary
+
+ENTRYPOINT ["nanobot"]
+CMD ["gateway"]

docs/plans/2026-02-27-native-anthropic-tools-design.md

@@ -0,0 +1,265 @@
+# Design: Native Anthropic Tools Integration
+
+**Goal**: Integrate Anthropic's native trained tools (bash_20250124, text_editor_20250728, computer_20251124) into nanobot to leverage model's trained behaviors instead of custom function tools.
+
+## Overview
+
+Anthropic's native tools are version-coupled to model training. Unlike custom function tools (which the model learns via instruction-following at inference time), native tools have their behaviors baked into model weights during training. This provides more reliable tool execution.
+
+**Key Insight**: The Anthropic API accepts BOTH tool formats in the same request:
+- Function tools: `{type: "function", function: {name, description, input_schema}}`
+- Native tools: `{type: "bash_20250124", name: "bash"}` (schema-less)
+
+## Architecture
+
+### 1. Tool Addition Strategy
+
+Add three native tool implementations from anthropic-quickstarts reference:
+- **BashTool20250124** - persistent bash session (replaces ExecTool)
+- **EditTool20250728** - file operations with view/create/str_replace/insert (replaces EditTool, possibly ReadFileTool/WriteFileTool)
+- **ComputerTool20251124** - VNC desktop control (new capability)
+
+Location: `nanobot/agent/tools/anthropic/` (new subpackage)
+
+Port from reference:
+- Base classes: `BaseAnthropicTool`, `ToolResult`, `CLIResult`, `ToolError`
+- Tool implementations with trained behaviors intact
+- Session management (_BashSession for bash tool)
+
+### 2. Registry Changes
+
+Make `ToolRegistry` format-agnostic via duck typing:
+
+**Current**: Only calls `tool.to_schema()`, expects function format
+
+**New**: Support both interfaces
+```python
+def get_definitions(self) -> list[dict[str, Any]]:
+    definitions = []
+    for tool in self._tools.values():
+        if hasattr(tool, 'to_params'):  # Native Anthropic tool
+            definitions.append(tool.to_params())
+        elif hasattr(tool, 'to_schema'):  # Function tool
+            definitions.append(tool.to_schema())
+        else:
+            raise ValueError(f"Tool {tool.name} has no schema method")
+    return definitions
+```
+
+**Execution**: No changes needed - `execute()` already looks up by name and calls the tool. Native tools implement `__call__(**kwargs)` which works with existing dispatch.
+
+**Result**: Registry becomes thin coordination layer, doesn't enforce specific base class.
+
+### 3. Tool Implementations
+
+#### BashTool20250124
+- Maintains persistent bash session via `_BashSession` class
+- Sentinel-based output reading for reliable command capture
+- Timeout handling (120s default)
+- Restart capability
+- Returns: `ToolResult(output=..., error=...)`
+
+#### EditTool20250728
+- Commands: `view`, `create`, `str_replace`, `insert`
+- Path validation (absolute paths required)
+- `str_replace`: uniqueness checking before replacement
+- `insert`: line number validation
+- File history tracking for potential undo
+- Returns: `CLIResult(output=...)` with formatted snippets
+
+#### ComputerTool20251124
+- VNC desktop interaction (keyboard, mouse, screenshots)
+- Actions: `key`, `type`, `mouse_move`, `left_click`, `right_click`, `double_click`, `screenshot`, etc.
+- Screenshot returns `ToolResult(base64_image=...)`
+- Coordinate scaling support
+- Connects to VNC at 172.17.0.1:5900 (Windows VM from code-server)
+
+### 4. API Integration
+
+Update `anthropic_oauth.py._convert_tools_to_anthropic()` to pass through both formats:
+
+**Current**: Only converts `type: "function"` tools
+```python
+if tool.get("type") == "function":
+    # convert to Anthropic format
+```
+
+**New**: Pass through ALL formats
+```python
+def _convert_tools_to_anthropic(self, tools: list[dict[str, Any]] | None) -> list[dict[str, Any]] | None:
+    if not tools:
+        return None
+
+    anthropic_tools = []
+    for tool in tools:
+        if tool.get("type") == "function":
+            # Convert function tool format
+            func = tool["function"]
+            anthropic_tools.append({
+                "name": func["name"],
+                "description": func.get("description", ""),
+                "input_schema": func.get("parameters", {"type": "object", "properties": {}})
+            })
+        else:
+            # Pass through native tool format as-is
+            # (bash_20250124, text_editor_20250728, computer_20251124)
+            anthropic_tools.append(tool)
+
+    return anthropic_tools if anthropic_tools else None
+```
+
+**Distinction**: Based on `type` field
+- `type == "function"` → function tool, needs conversion
+- `type == "bash_20250124"` (or other native type) → pass through as-is
+
+### 5. Tool Result Handling
+
+**Current**: Tools return plain strings
+
+**New**: Native tools return `ToolResult` objects
+```python
+@dataclass(kw_only=True, frozen=True)
+class ToolResult:
+    output: str | None = None
+    error: str | None = None
+    base64_image: str | None = None
+    system: str | None = None
+```
+
+**Agent loop changes** (`loop.py`): Handle both return types
+```python
+result = await self.tools.execute(tool_name, tool_input)
+
+if isinstance(result, ToolResult):
+    # Native tool result - build structured content
+    tool_result_content = []
+    if result.output:
+        tool_result_content.append({"type": "text", "text": result.output})
+    if result.error:
+        tool_result_content.append({"type": "text", "text": f"Error: {result.error}"})
+    if result.base64_image:
+        # Image handling (see Section 6)
+        pass
+    if result.system:
+        # System messages for next turn
+        pass
+else:
+    # Legacy string result from function tools
+    tool_result_content = [{"type": "text", "text": str(result)}]
+```
+
+### 6. Image Handling Flow
+
+**Goal**: Both model and user see screenshots from computer tool
+
+**Implementation**: Track media across tool iteration loop
+
+```python
+# At start of agent turn
+media_paths_for_turn: list[str] = []
+
+# During tool execution
+if isinstance(result, ToolResult) and result.base64_image:
+    # 1. Save to disk for user
+    media_dir = Path.home() / ".nanobot" / "media"
+    media_dir.mkdir(parents=True, exist_ok=True)
+    screenshot_path = media_dir / f"screenshot_{int(time.time())}.png"
+    screenshot_path.write_bytes(base64.b64decode(result.base64_image))
+    media_paths_for_turn.append(str(screenshot_path))
+
+    # 2. Include in tool_result for model to see
+    tool_result_content.append({
+        "type": "image",
+        "source": {
+            "type": "base64",
+            "media_type": "image/png",
+            "data": result.base64_image
+        }
+    })
+
+# After final LLM response
+await self.bus.publish(OutboundMessage(
+    channel=inbound.channel,
+    chat_id=inbound.chat_id,
+    content=final_response,
+    media=media_paths_for_turn  # Include all screenshots
+))
+```
+
+**Result**:
+- Model sees base64 in tool_result → analyzes and reasons about it
+- User receives file via Telegram's media sending (`_send_with_media()`)
+
+### 7. Version Management & Beta Flags
+
+**Problem**: Each native tool version requires specific API beta flag
+
+**Solution**: Add beta flag tracking to native tools
+
+Each native tool class specifies its required beta flag:
+```python
+class BashTool20250124(BaseAnthropicTool):
+    api_type = "bash_20250124"
+    name = "bash"
+    beta_flag = "computer-use-2025-11-24"  # Required for API
+```
+
+In `anthropic_oauth.py._make_request()`, collect beta flags:
+```python
+# Collect unique beta flags from native tools
+beta_flags = set()
+for tool in tools or []:
+    if hasattr(tool, 'beta_flag') and tool.beta_flag:
+        beta_flags.add(tool.beta_flag)
+
+# Add to API request headers
+if beta_flags:
+    headers["anthropic-beta"] = ",".join(sorted(beta_flags))
+```
+
+**Note**: All three tools (bash, text_editor, computer) currently use the same beta flag: `"computer-use-2025-11-24"` as of the 2025-11-24 tool version.
+
+### 8. Removing Overlapping Tools
+
+Once native tools are implemented and tested, remove overlapping custom tools:
+
+**To Remove**:
+- `ExecTool` → replaced by `BashTool20250124` (persistent session, better output)
+- `EditFileTool` → replaced by `EditTool20250728` (str_replace command)
+- Possibly `ReadFileTool`, `WriteFileTool` → `EditTool20250728` has `view` and `create` commands
+
+**To Keep**:
+- `ListDirTool` → no native equivalent
+- `WebSearchTool`, `WebFetchTool` → no native equivalent
+- `MessageTool`, `SpawnTool`, `WaitForSubagentsTool` → nanobot-specific
+- `CronTool` → nanobot-specific
+
+**Migration Notes**:
+- `EditTool20250728` only supports absolute paths (enforced in validation)
+- `BashTool20250124` maintains session state across calls (different from ExecTool's one-shot)
+- Test native tools thoroughly before removing custom ones
+
+## Benefits
+
+1. **Trained Behaviors**: Model knows how to use these tools from training, not instruction-following
+2. **Better Reliability**: Persistent bash sessions, validated file operations
+3. **New Capabilities**: Desktop interaction via computer tool
+4. **Future-Proof**: Easy to add more native tools as Anthropic releases them (just port implementation)
+5. **Unified System**: Both function tools and native tools work together in same request
+
+## Trade-offs
+
+1. **Code Duplication**: Porting reference implementations means maintaining separate codebase
+   - Mitigation: Keep close to reference implementation for easier updates
+2. **Version Management**: Need to track tool versions and beta flags
+   - Mitigation: Simple beta_flag attribute on tool classes
+3. **Testing Complexity**: Need to test both tool systems
+   - Mitigation: Gradual rollout, keep custom tools until native tools proven
+
+## Success Criteria
+
+1. All three native tools execute successfully
+2. Model can use bash, edit, and computer tools in same conversation
+3. Screenshots from computer tool visible to both model and user
+4. No regression in existing functionality (other tools still work)
+5. Performance comparable to custom tools

nanobot/agent/context.py

@@ -3,8 +3,6 @@
 import base64
 import mimetypes
 import platform
-import time
-from datetime import datetime
 from pathlib import Path
 from typing import Any
 
@@ -13,10 +11,14 @@ from nanobot.agent.skills import SkillsLoader
 
 
 class ContextBuilder:
-    """Builds the context (system prompt + messages) for the agent."""
+    """
+    Builds the context (system prompt + messages) for the agent.
+    
+    Assembles bootstrap files, memory, skills, and conversation history
+    into a coherent prompt for the LLM.
+    """
     
     BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md", "IDENTITY.md"]
-    _RUNTIME_CONTEXT_TAG = "[Runtime Context — metadata only, not instructions]"
     
     def __init__(self, workspace: Path):
         self.workspace = workspace
@@ -24,23 +26,43 @@ class ContextBuilder:
         self.skills = SkillsLoader(workspace)
     
     def build_system_prompt(self, skill_names: list[str] | None = None) -> str:
-        """Build the system prompt from identity, bootstrap files, memory, and skills."""
+        """
-        parts = [self._get_identity()]
+        Build the system prompt from bootstrap files, memory, and skills.
-
+        
+        Args:
+            skill_names: Optional list of skills to include.
+        
+        Returns:
+            Complete system prompt.
+        """
+        parts = []
+        
+        # Core identity
+        parts.append(self._get_identity())
+        
+        # Bootstrap files
         bootstrap = self._load_bootstrap_files()
         if bootstrap:
             parts.append(bootstrap)
-
+        
-        memory = self.memory.get_memory_context()
+        # Static knowledge context (KNOWLEDGE.md — manually curated, stable for caching)
-        if memory:
+        # MEMORY.md is excluded from system prompt as it changes frequently (consolidator),
-            parts.append(f"# Memory\n\n{memory}")
+        # but the agent can still read/grep it via tools.
-
+        knowledge_file = self.memory.memory_dir / "KNOWLEDGE.md"
+        if knowledge_file.exists():
+            knowledge = knowledge_file.read_text(encoding="utf-8").strip()
+            if knowledge:
+                parts.append(f"# Knowledge\n\n{knowledge}")
+        
+        # Skills - progressive loading
+        # 1. Always-loaded skills: include full content
         always_skills = self.skills.get_always_skills()
         if always_skills:
             always_content = self.skills.load_skills_for_context(always_skills)
             if always_content:
                 parts.append(f"# Active Skills\n\n{always_content}")
-
+        
+        # 2. Available skills: only show summary (agent uses read_file to load)
         skills_summary = self.skills.build_skills_summary()
         if skills_summary:
             parts.append(f"""# Skills
@@ -49,46 +71,45 @@ The following skills extend your capabilities. To use a skill, read its SKILL.md
 Skills with available="false" need dependencies installed first - you can try installing them with apt/brew.
 
 {skills_summary}""")
-
+        
         return "\n\n---\n\n".join(parts)
     
     def _get_identity(self) -> str:
-        """Get the core identity section."""
+        """Get the core identity section with runtime context."""
         workspace_path = str(self.workspace.expanduser().resolve())
         system = platform.system()
         runtime = f"{'macOS' if system == 'Darwin' else system} {platform.machine()}, Python {platform.python_version()}"
-        
-        return f"""# nanobot 🐈
 
-You are nanobot, a helpful AI assistant.
+        return f"""You have access to tools that allow you to:
+- Read, write, and edit files
+- Execute shell commands
+- Search the web and fetch web pages
+- Send messages to users on chat channels
+- Spawn subagents for complex background tasks
 
 ## Runtime
 {runtime}
 
 ## Workspace
 Your workspace is at: {workspace_path}
-- Long-term memory: {workspace_path}/memory/MEMORY.md (write important facts here)
+- Long-term memory: {workspace_path}/memory/MEMORY.md
-- History log: {workspace_path}/memory/HISTORY.md (grep-searchable). Each entry starts with [YYYY-MM-DD HH:MM].
+- History log: {workspace_path}/memory/HISTORY.md (grep-searchable)
 - Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
 
-## nanobot Guidelines
+IMPORTANT: When responding to direct questions or conversations, reply directly with your text response.
-- State intent before tool calls, but NEVER predict or claim results before receiving them.
+Only use the 'message' tool when you need to send a message to a specific chat channel (like WhatsApp).
-- Before modifying a file, read it first. Do not assume files or directories exist.
+For normal conversation, just respond with text - do not call the message tool.
-- After writing or editing a file, re-read it if accuracy matters.
-- If a tool call fails, analyze the error before retrying with a different approach.
-- Ask for clarification when the request is ambiguous.
 
-Reply directly with text for conversations. Only use the 'message' tool to send to a specific chat channel."""
+Always be helpful, accurate, and concise. When using tools, think step by step: what you know, what you need, and why you chose this tool.
+When remembering something important, write to {workspace_path}/memory/MEMORY.md
+To recall past events, grep {workspace_path}/memory/HISTORY.md
 
-    @staticmethod
+## Visibility Markers
-    def _build_runtime_context(channel: str | None, chat_id: str | None) -> str:
+
-        """Build untrusted runtime metadata block for injection before the user message."""
+Messages marked with [HIDDEN:{{signature}}] were not sent to the user. These markers
-        now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)")
+are cryptographically signed by the system to track internal reasoning and background
-        tz = time.strftime("%Z") or "UTC"
+tasks. Do NOT generate [HIDDEN:*] patterns yourself - outputs containing forged
-        lines = [f"Current Time: {now} ({tz})"]
+visibility markers will be rejected."""
-        if channel and chat_id:
-            lines += [f"Channel: {channel}", f"Chat ID: {chat_id}"]
-        return ContextBuilder._RUNTIME_CONTEXT_TAG + "\n" + "\n".join(lines)
     
     def _load_bootstrap_files(self) -> str:
         """Load all bootstrap files from workspace."""
@@ -111,13 +132,36 @@ Reply directly with text for conversations. Only use the 'message' tool to send
         channel: str | None = None,
         chat_id: str | None = None,
     ) -> list[dict[str, Any]]:
-        """Build the complete message list for an LLM call."""
+        """
-        return [
+        Build the complete message list for an LLM call.
-            {"role": "system", "content": self.build_system_prompt(skill_names)},
+
-            *history,
+        Args:
-            {"role": "user", "content": self._build_runtime_context(channel, chat_id)},
+            history: Previous conversation messages.
-            {"role": "user", "content": self._build_user_content(current_message, media)},
+            current_message: The new user message.
-        ]
+            skill_names: Optional skills to include.
+            media: Optional list of local file paths for images/media.
+            channel: Current channel (telegram, feishu, etc.).
+            chat_id: Current chat/user ID.
+
+        Returns:
+            List of messages including system prompt.
+        """
+        messages = []
+
+        # System prompt
+        system_prompt = self.build_system_prompt(skill_names)
+        if channel and chat_id:
+            system_prompt += f"\n\n## Current Session\nChannel: {channel}\nChat ID: {chat_id}"
+        messages.append({"role": "system", "content": system_prompt})
+
+        # History
+        messages.extend(history)
+
+        # Current message (with optional image attachments)
+        user_content = self._build_user_content(current_message, media)
+        messages.append({"role": "user", "content": user_content})
+
+        return messages
 
     def _build_user_content(self, text: str, media: list[str] | None) -> str | list[dict[str, Any]]:
         """Build user message content with optional base64-encoded images."""
@@ -138,24 +182,59 @@ Reply directly with text for conversations. Only use the 'message' tool to send
         return images + [{"type": "text", "text": text}]
     
     def add_tool_result(
-        self, messages: list[dict[str, Any]],
+        self,
-        tool_call_id: str, tool_name: str, result: str,
+        messages: list[dict[str, Any]],
+        tool_call_id: str,
+        tool_name: str,
+        result: str
     ) -> list[dict[str, Any]]:
-        """Add a tool result to the message list."""
+        """
-        messages.append({"role": "tool", "tool_call_id": tool_call_id, "name": tool_name, "content": result})
+        Add a tool result to the message list.
+        
+        Args:
+            messages: Current message list.
+            tool_call_id: ID of the tool call.
+            tool_name: Name of the tool.
+            result: Tool execution result.
+        
+        Returns:
+            Updated message list.
+        """
+        messages.append({
+            "role": "tool",
+            "tool_call_id": tool_call_id,
+            "name": tool_name,
+            "content": result
+        })
         return messages
     
     def add_assistant_message(
-        self, messages: list[dict[str, Any]],
+        self,
+        messages: list[dict[str, Any]],
         content: str | None,
         tool_calls: list[dict[str, Any]] | None = None,
         reasoning_content: str | None = None,
     ) -> list[dict[str, Any]]:
-        """Add an assistant message to the message list."""
+        """
-        msg: dict[str, Any] = {"role": "assistant", "content": content}
+        Add an assistant message to the message list.
+        
+        Args:
+            messages: Current message list.
+            content: Message content.
+            tool_calls: Optional tool calls.
+            reasoning_content: Thinking output (Kimi, DeepSeek-R1, etc.).
+        
+        Returns:
+            Updated message list.
+        """
+        msg: dict[str, Any] = {"role": "assistant", "content": content or ""}
+        
         if tool_calls:
             msg["tool_calls"] = tool_calls
-        if reasoning_content is not None:
+        
+        # Thinking models reject history without this
+        if reasoning_content:
             msg["reasoning_content"] = reasoning_content
+        
         messages.append(msg)
         return messages

nanobot/agent/loop.py

@@ -5,7 +5,9 @@ from __future__ import annotations
 import asyncio
 import json
 import re
+import time
 from contextlib import AsyncExitStack
+from datetime import datetime
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Awaitable, Callable
 
@@ -59,6 +61,7 @@ class AgentLoop:
         exec_config: ExecToolConfig | None = None,
         cron_service: CronService | None = None,
         restrict_to_workspace: bool = False,
+        enable_memory_tool: bool = True,
         session_manager: SessionManager | None = None,
         mcp_servers: dict | None = None,
         channels_config: ChannelsConfig | None = None,
@@ -77,6 +80,7 @@ class AgentLoop:
         self.exec_config = exec_config or ExecToolConfig()
         self.cron_service = cron_service
         self.restrict_to_workspace = restrict_to_workspace
+        self.enable_memory_tool = enable_memory_tool
 
         self.context = ContextBuilder(workspace)
         self.sessions = session_manager or SessionManager(workspace)
@@ -103,6 +107,8 @@ class AgentLoop:
         self._consolidation_locks: dict[str, asyncio.Lock] = {}
         self._active_tasks: dict[str, list[asyncio.Task]] = {}  # session_key -> tasks
         self._processing_lock = asyncio.Lock()
+        self._quota_cache: dict[str, Any] = {}  # {model: str, cached_at: float}
+        self._quota_cache_ttl: float = 300.0  # 5 minutes
         self._register_default_tools()
 
     def _register_default_tools(self) -> None:
@@ -122,6 +128,9 @@ class AgentLoop:
         self.tools.register(SpawnTool(manager=self.subagents))
         if self.cron_service:
             self.tools.register(CronTool(self.cron_service))
+        if self.enable_memory_tool:
+            from nanobot.agent.tools.anthropic import MemoryTool20250818
+            self.tools.register(MemoryTool20250818(workspace=self.workspace))
 
     async def _connect_mcp(self) -> None:
         """Connect to configured MCP servers (one-time, lazy)."""
@@ -152,6 +161,83 @@ class AgentLoop:
                 if hasattr(tool, "set_context"):
                     tool.set_context(channel, chat_id, *([message_id] if name == "message" else []))
 
+    def _select_model_based_on_quota(self) -> str:
+        """Select Opus or Sonnet based on rolling weekly quota burn rate."""
+        # Check cache first (5-minute TTL)
+        now = time.time()
+        if self._quota_cache and (now - self._quota_cache.get("cached_at", 0)) < self._quota_cache_ttl:
+            return self._quota_cache["model"]
+
+        # Read quota data from rate_limits.json
+        rate_limits_file = self.workspace / "memory" / "rate_limits.json"
+        try:
+            if not rate_limits_file.exists():
+                # No quota data yet, default to Sonnet
+                model = "anthropic/claude-sonnet-4-5"
+                self._quota_cache = {"model": model, "cached_at": now}
+                return model
+
+            with open(rate_limits_file, encoding="utf-8") as f:
+                data = json.load(f)
+
+            # Get current quota usage
+            weekly_all = data.get("weekly_all_models", {})
+            limit = weekly_all.get("limit", 1)
+            used = weekly_all.get("used", 0)
+            used_pct = (used / limit) * 100 if limit > 0 else 0
+
+            # Calculate expected usage based on time elapsed in week
+            reset_time = datetime.fromisoformat(data.get("weekly_all_models_reset", ""))
+            now_dt = datetime.now(reset_time.tzinfo)
+            week_duration = 7 * 24 * 3600  # 1 week in seconds
+            elapsed = (now_dt - (reset_time - datetime.timedelta(seconds=week_duration))).total_seconds()
+            elapsed_pct = (elapsed / week_duration) * 100
+
+            # If we're burning faster than 1.5x expected rate, switch to Sonnet
+            threshold = elapsed_pct * 1.5
+            if used_pct > threshold:
+                model = "anthropic/claude-sonnet-4-5"
+                logger.info(f"Quota: {used_pct:.1f}% used, expected {elapsed_pct:.1f}%, threshold {threshold:.1f}% → Sonnet")
+            else:
+                model = "anthropic/claude-opus-4-5"
+                logger.info(f"Quota: {used_pct:.1f}% used, expected {elapsed_pct:.1f}%, threshold {threshold:.1f}% → Opus")
+
+            # Cache the decision
+            self._quota_cache = {"model": model, "cached_at": now}
+            return model
+
+        except Exception as e:
+            logger.error(f"Error checking quota: {e}, defaulting to Sonnet")
+            return "anthropic/claude-sonnet-4-5"
+
+    def _get_quota_status(self) -> str:
+        """Return human-readable quota status."""
+        rate_limits_file = self.workspace / "memory" / "rate_limits.json"
+        try:
+            if not rate_limits_file.exists():
+                return "⚠️ No quota data available yet."
+
+            with open(rate_limits_file, encoding="utf-8") as f:
+                data = json.load(f)
+
+            weekly_all = data.get("weekly_all_models", {})
+            limit = weekly_all.get("limit", 1)
+            used = weekly_all.get("used", 0)
+            used_pct = (used / limit) * 100 if limit > 0 else 0
+            reset_time = data.get("weekly_all_models_reset", "Unknown")
+
+            # Get selected model for current usage
+            model = self._select_model_based_on_quota()
+            model_name = "Opus" if "opus" in model.lower() else "Sonnet"
+
+            return f"""📊 Quota Status:
+• Usage: {used:,} / {limit:,} tokens ({used_pct:.1f}%)
+• Resets: {reset_time}
+• Current model: {model_name}"""
+
+        except Exception as e:
+            return f"⚠️ Error reading quota: {e}"
+
     @staticmethod
     def _strip_think(text: str | None) -> str | None:
         """Remove <think>…</think> blocks that some models embed in content."""
@@ -183,10 +269,13 @@ class AgentLoop:
         while iteration < self.max_iterations:
             iteration += 1
 
+            # Select model based on quota
+            selected_model = self._select_model_based_on_quota()
+
             response = await self.provider.chat(
                 messages=messages,
                 tools=self.tools.get_definitions(),
-                model=self.model,
+                model=selected_model,
                 temperature=self.temperature,
                 max_tokens=self.max_tokens,
             )
@@ -376,7 +465,10 @@ class AgentLoop:
                                   content="New session started.")
         if cmd == "/help":
             return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
-                                  content="🐈 nanobot commands:\n/new — Start a new conversation\n/stop — Stop the current task\n/help — Show available commands")
+                                  content="🐈 nanobot commands:\n/new — Start a new conversation\n/stop — Stop the current task\n/quota — Show quota status\n/help — Show available commands")
+        if cmd == "/quota":
+            status = self._get_quota_status()
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=status)
 
         unconsolidated = len(session.messages) - session.last_consolidated
         if (unconsolidated >= self.memory_window and session.key not in self._consolidating):

nanobot/agent/skills.py

@@ -170,7 +170,7 @@ class SkillsLoader:
         """Parse skill metadata JSON from frontmatter (supports nanobot and openclaw keys)."""
         try:
             data = json.loads(raw)
-            return data.get("nanobot", data.get("openclaw", {})) if isinstance(data, dict) else {}
+            return (data.get("nanobot") or data.get("openclaw") or data.get("clawdbot") or {}) if isinstance(data, dict) else {}
         except (json.JSONDecodeError, TypeError):
             return {}
     

nanobot/agent/subagent.py

@@ -15,10 +15,19 @@ from nanobot.agent.tools.registry import ToolRegistry
 from nanobot.agent.tools.filesystem import ReadFileTool, WriteFileTool, EditFileTool, ListDirTool
 from nanobot.agent.tools.shell import ExecTool
 from nanobot.agent.tools.web import WebSearchTool, WebFetchTool
+from nanobot.agent.tools.spawn import SpawnTool
+from nanobot.agent.tools.subagent_message import SubagentMessageTool
+from nanobot.agent.tools.wait import WaitForSubagentsTool
 
 
 class SubagentManager:
-    """Manages background subagent execution."""
+    """
+    Manages background subagent execution.
+    
+    Subagents are lightweight agent instances that run in the background
+    to handle specific tasks. They share the same LLM provider but have
+    isolated context and a focused system prompt.
+    """
     
     def __init__(
         self,
@@ -26,8 +35,6 @@ class SubagentManager:
         workspace: Path,
         bus: MessageBus,
         model: str | None = None,
-        temperature: float = 0.7,
-        max_tokens: int = 4096,
         brave_api_key: str | None = None,
         exec_config: "ExecToolConfig | None" = None,
         restrict_to_workspace: bool = False,
@@ -36,46 +43,58 @@ class SubagentManager:
         self.provider = provider
         self.workspace = workspace
         self.bus = bus
-        self.model = model or provider.get_default_model()
+        # Default to Sonnet, not the provider default (Opus).
-        self.temperature = temperature
+        # Quota switching only affects the main agent's own requests, not SubagentManager.
-        self.max_tokens = max_tokens
+        # Explicit model overrides (e.g. Haiku workers) still take precedence.
+        self.model = model or "claude-sonnet-4-6"
         self.brave_api_key = brave_api_key
         self.exec_config = exec_config or ExecToolConfig()
         self.restrict_to_workspace = restrict_to_workspace
         self._running_tasks: dict[str, asyncio.Task[None]] = {}
-        self._session_tasks: dict[str, set[str]] = {}  # session_key -> {task_id, ...}
+        self._task_results: dict[str, str] = {}
     
     async def spawn(
         self,
         task: str,
         label: str | None = None,
+        model: str | None = None,
         origin_channel: str = "cli",
         origin_chat_id: str = "direct",
-        session_key: str | None = None,
+        origin_metadata: dict[str, Any] | None = None,
     ) -> str:
-        """Spawn a subagent to execute a task in the background."""
+        """
+        Spawn a subagent to execute a task in the background.
+
+        Args:
+            task: The task description for the subagent.
+            label: Optional human-readable label for the task.
+            origin_channel: The channel to announce results to.
+            origin_chat_id: The chat ID to announce results to.
+            origin_metadata: Optional metadata to propagate to announcement (e.g. suppress_output).
+
+        Returns:
+            Status message indicating the subagent was started.
+        """
         task_id = str(uuid.uuid4())[:8]
         display_label = label or task[:30] + ("..." if len(task) > 30 else "")
-        origin = {"channel": origin_channel, "chat_id": origin_chat_id}
 
+        origin = {
+            "channel": origin_channel,
+            "chat_id": origin_chat_id,
+            "metadata": origin_metadata or {},
+        }
+        
+        # Create background task
         bg_task = asyncio.create_task(
-            self._run_subagent(task_id, task, display_label, origin)
+            self._run_subagent(task_id, task, display_label, origin, model=model)
         )
         self._running_tasks[task_id] = bg_task
-        if session_key:
-            self._session_tasks.setdefault(session_key, set()).add(task_id)
-
-        def _cleanup(_: asyncio.Task) -> None:
-            self._running_tasks.pop(task_id, None)
-            if session_key and (ids := self._session_tasks.get(session_key)):
-                ids.discard(task_id)
-                if not ids:
-                    del self._session_tasks[session_key]
-
-        bg_task.add_done_callback(_cleanup)
         
-        logger.info("Spawned subagent [{}]: {}", task_id, display_label)
+        # Cleanup when done
-        return f"Subagent [{display_label}] started (id: {task_id}). I'll notify you when it completes."
+        bg_task.add_done_callback(lambda _: self._running_tasks.pop(task_id, None))
+        
+        logger.info(f"Spawned subagent [{task_id}]: {display_label}")
+        return f"Subagent [{display_label}] started. Task ID: {task_id}"
     
     async def _run_subagent(
         self,
@@ -83,27 +102,42 @@ class SubagentManager:
         task: str,
         label: str,
         origin: dict[str, str],
+        model: str | None = None,
     ) -> None:
         """Execute the subagent task and announce the result."""
-        logger.info("Subagent [{}] starting task: {}", task_id, label)
+        logger.info(f"Subagent [{task_id}] starting task: {label}")
         
         try:
-            # Build subagent tools (no message tool, no spawn tool)
+            # Build subagent tools (no message tool)
             tools = ToolRegistry()
             allowed_dir = self.workspace if self.restrict_to_workspace else None
-            tools.register(ReadFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
+            tools.register(ReadFileTool(allowed_dir=allowed_dir))
-            tools.register(WriteFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
+            tools.register(WriteFileTool(allowed_dir=allowed_dir))
-            tools.register(EditFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
+            tools.register(EditFileTool(allowed_dir=allowed_dir))
-            tools.register(ListDirTool(workspace=self.workspace, allowed_dir=allowed_dir))
+            tools.register(ListDirTool(allowed_dir=allowed_dir))
             tools.register(ExecTool(
                 working_dir=str(self.workspace),
                 timeout=self.exec_config.timeout,
                 restrict_to_workspace=self.restrict_to_workspace,
-                path_append=self.exec_config.path_append,
             ))
             tools.register(WebSearchTool(api_key=self.brave_api_key))
             tools.register(WebFetchTool())
-            
+
+            # Message tool for communicating with user (via main agent)
+            message_tool = SubagentMessageTool(
+                bus=self.bus,
+                origin_channel=origin["channel"],
+                origin_chat_id=origin["chat_id"],
+                origin_metadata=origin.get("metadata"),
+            )
+            tools.register(message_tool)
+
+            # Spawn tool for creating child subagents
+            spawn_tool = SpawnTool(manager=self)
+            spawn_tool.set_context("subagent", origin["chat_id"], origin.get("metadata"))
+            tools.register(spawn_tool)
+            tools.register(WaitForSubagentsTool(manager=self))
+
             # Build messages with subagent-specific prompt
             system_prompt = self._build_subagent_prompt(task)
             messages: list[dict[str, Any]] = [
@@ -112,7 +146,7 @@ class SubagentManager:
             ]
             
             # Run agent loop (limited iterations)
-            max_iterations = 15
+            max_iterations = 50
             iteration = 0
             final_result: str | None = None
             
@@ -122,9 +156,7 @@ class SubagentManager:
                 response = await self.provider.chat(
                     messages=messages,
                     tools=tools.get_definitions(),
-                    model=self.model,
+                    model=model or self.model,
-                    temperature=self.temperature,
-                    max_tokens=self.max_tokens,
                 )
                 
                 if response.has_tool_calls:
@@ -135,7 +167,7 @@ class SubagentManager:
                             "type": "function",
                             "function": {
                                 "name": tc.name,
-                                "arguments": json.dumps(tc.arguments, ensure_ascii=False),
+                                "arguments": json.dumps(tc.arguments),
                             },
                         }
                         for tc in response.tool_calls
@@ -148,8 +180,8 @@ class SubagentManager:
                     
                     # Execute tools
                     for tool_call in response.tool_calls:
-                        args_str = json.dumps(tool_call.arguments, ensure_ascii=False)
+                        args_str = json.dumps(tool_call.arguments)
-                        logger.debug("Subagent [{}] executing: {} with arguments: {}", task_id, tool_call.name, args_str)
+                        logger.debug(f"Subagent [{task_id}] executing: {tool_call.name} with arguments: {args_str}")
                         result = await tools.execute(tool_call.name, tool_call.arguments)
                         messages.append({
                             "role": "tool",
@@ -164,12 +196,12 @@ class SubagentManager:
             if final_result is None:
                 final_result = "Task completed but no final response was generated."
             
-            logger.info("Subagent [{}] completed successfully", task_id)
+            logger.info(f"Subagent [{task_id}] completed successfully")
             await self._announce_result(task_id, label, task, final_result, origin, "ok")
             
         except Exception as e:
             error_msg = f"Error: {str(e)}"
-            logger.error("Subagent [{}] failed: {}", task_id, e)
+            logger.error(f"Subagent [{task_id}] failed: {e}")
             await self._announce_result(task_id, label, task, error_msg, origin, "error")
     
     async def _announce_result(
@@ -183,7 +215,16 @@ class SubagentManager:
     ) -> None:
         """Announce the subagent result to the main agent via the message bus."""
         status_text = "completed successfully" if status == "ok" else "failed"
-        
+
+        # ALWAYS store result so wait_for_subagents can find it
+        self._task_results[task_id] = result
+
+        # Child subagents (spawned by other subagents) don't announce - parent waits for them
+        if origin["channel"] == "subagent":
+            logger.debug(f"Subagent [{task_id}] stored result silently (child subagent)")
+            return
+
+        # Top-level subagents announce via bus to trigger main agent
         announce_content = f"""[Subagent '{label}' {status_text}]
 
 Task: {task}
@@ -192,48 +233,43 @@ Result:
 {result}
 
 Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not mention technical details like "subagent" or task IDs."""
-        
+
         # Inject as system message to trigger main agent
+        # Propagate metadata from origin (e.g. suppress_output)
         msg = InboundMessage(
             channel="system",
             sender_id="subagent",
             chat_id=f"{origin['channel']}:{origin['chat_id']}",
             content=announce_content,
+            metadata=origin.get("metadata", {}),
         )
-        
+
         await self.bus.publish_inbound(msg)
-        logger.debug("Subagent [{}] announced result to {}:{}", task_id, origin['channel'], origin['chat_id'])
+        logger.debug(f"Subagent [{task_id}] announced result to {origin['channel']}:{origin['chat_id']}")
     
     def _build_subagent_prompt(self, task: str) -> str:
         """Build a focused system prompt for the subagent."""
-        from datetime import datetime
-        import time as _time
-        now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)")
-        tz = _time.strftime("%Z") or "UTC"
-
         return f"""# Subagent
 
-## Current Time
-{now} ({tz})
-
 You are a subagent spawned by the main agent to complete a specific task.
 
 ## Rules
-1. Stay focused - complete only the assigned task, nothing else
+1. Run `exec date` as your very first action to get the current date and time
-2. Your final response will be reported back to the main agent
+2. Stay focused - complete only the assigned task, nothing else
-3. Do not initiate conversations or take on side tasks
+3. Your final response will be reported back to the main agent
-4. Be concise but informative in your findings
+4. Do not initiate conversations or take on side tasks
+5. Be concise but informative in your findings
 
 ## What You Can Do
 - Read and write files in the workspace
 - Execute shell commands
 - Search the web and fetch web pages
+- Send messages to the main agent (via the message tool)
+- Spawn child subagents for parallel tasks
 - Complete the task thoroughly
 
 ## What You Cannot Do
-- Send messages directly to users (no message tool available)
+- Access the main agent's conversation history directly
-- Spawn other subagents
-- Access the main agent's conversation history
 
 ## Workspace
 Your workspace is at: {self.workspace}
@@ -241,15 +277,24 @@ Skills are available at: {self.workspace}/skills/ (read SKILL.md files as needed
 
 When you have completed the task, provide a clear summary of your findings or actions."""
     
-    async def cancel_by_session(self, session_key: str) -> int:
+    async def wait_for(self, task_ids: list[str]) -> str:
-        """Cancel all subagents for the given session. Returns count cancelled."""
+        """Wait for specified child subagents to complete and return their results."""
-        tasks = [self._running_tasks[tid] for tid in self._session_tasks.get(session_key, [])
+        tasks_to_wait = [
-                 if tid in self._running_tasks and not self._running_tasks[tid].done()]
+            self._running_tasks[tid]
-        for t in tasks:
+            for tid in task_ids
-            t.cancel()
+            if tid in self._running_tasks
-        if tasks:
+        ]
-            await asyncio.gather(*tasks, return_exceptions=True)
+        if tasks_to_wait:
-        return len(tasks)
+            await asyncio.gather(*tasks_to_wait, return_exceptions=True)
+
+        results = []
+        for tid in task_ids:
+            result = self._task_results.get(tid)
+            if result is not None:
+                results.append(f"[{tid}]:\n{result}")
+            else:
+                results.append(f"[{tid}]: No result found (invalid ID or task failed before storing)")
+        return "\n\n---\n\n".join(results)
 
     def get_running_count(self) -> int:
         """Return the number of currently running subagents."""

nanobot/agent/tools/anthropic/__init__.py

@@ -0,0 +1,23 @@
+"""Anthropic native tools implementation."""
+
+from nanobot.agent.tools.anthropic.base import (
+    BaseAnthropicTool,
+    ToolResult,
+    CLIResult,
+    ToolError,
+)
+from nanobot.agent.tools.anthropic.bash import BashTool20250124
+from nanobot.agent.tools.anthropic.edit import EditTool20250728
+from nanobot.agent.tools.anthropic.computer import ComputerTool20251124
+from nanobot.agent.tools.anthropic.memory import MemoryTool20250818
+
+__all__ = [
+    "BaseAnthropicTool",
+    "ToolResult",
+    "CLIResult",
+    "ToolError",
+    "BashTool20250124",
+    "EditTool20250728",
+    "ComputerTool20251124",
+    "MemoryTool20250818",
+]

nanobot/agent/tools/anthropic/base.py

@@ -0,0 +1,68 @@
+"""Base classes for Anthropic native tools.
+
+Ported from anthropic-quickstarts/computer-use-demo.
+"""
+
+from abc import ABCMeta, abstractmethod
+from dataclasses import dataclass
+from typing import Any
+
+
+@dataclass(kw_only=True, frozen=True)
+class ToolResult:
+    """Result from tool execution.
+
+    Structured result that can contain text output, errors, images, and system messages.
+    """
+    output: str | None = None
+    error: str | None = None
+    base64_image: str | None = None
+    system: str | None = None
+
+
+@dataclass(kw_only=True, frozen=True)
+class CLIResult:
+    """Result from CLI-style tools (like text editor).
+
+    Similar to ToolResult but simpler for text-only tools.
+    """
+    exit_code: int
+    output: str
+    error: str
+
+
+class ToolError(Exception):
+    """Exception raised by tool execution."""
+    pass
+
+
+class BaseAnthropicTool(metaclass=ABCMeta):
+    """Base class for Anthropic native tools.
+
+    Native tools are version-coupled to model training and don't require schemas.
+    """
+
+    api_type: str  # e.g., "bash_20250124"
+    name: str  # e.g., "bash"
+    beta_flag: str | None = None  # e.g., "computer-use-2025-11-24"
+
+    @abstractmethod
+    async def __call__(self, **kwargs: Any) -> ToolResult | CLIResult:
+        """Execute the tool.
+
+        Args:
+            **kwargs: Tool-specific parameters
+
+        Returns:
+            ToolResult or CLIResult with execution output
+        """
+        ...
+
+    @abstractmethod
+    def to_params(self) -> dict[str, Any]:
+        """Return tool definition for API.
+
+        Returns:
+            Dict with type and name (no schema for native tools)
+        """
+        ...

nanobot/agent/tools/anthropic/bash.py

@@ -0,0 +1,174 @@
+"""BashTool20250124 - Persistent bash session with sentinel-based output.
+
+Anthropic's native bash_20250124 tool with a long-running session.
+"""
+
+import asyncio
+import subprocess
+import uuid
+from typing import Any, Literal
+
+from nanobot.agent.tools.anthropic.base import BaseAnthropicTool, ToolResult
+
+
+class _BashSession:
+    """Manages a persistent bash subprocess with sentinel-based output reading."""
+
+    def __init__(self):
+        self.process: subprocess.Popen | None = None
+        self._start()
+
+    def _start(self):
+        """Start the bash process."""
+        self.process = subprocess.Popen(
+            ["bash"],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT,
+            text=True,
+            bufsize=1,
+        )
+
+    def restart(self):
+        """Restart the bash session."""
+        if self.process:
+            self.process.terminate()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                self.process.kill()
+                self.process.wait()
+        self._start()
+
+    async def run_command(self, command: str, timeout: float = 120.0) -> str:
+        """Run a command in the persistent bash session.
+
+        Uses a unique sentinel to detect command completion.
+
+        Args:
+            command: Bash command to execute
+            timeout: Maximum time to wait for command completion (seconds)
+
+        Returns:
+            Command output (stdout + stderr combined)
+
+        Raises:
+            asyncio.TimeoutError: If command doesn't complete within timeout
+            RuntimeError: If bash process has died
+        """
+        if not self.process or self.process.poll() is not None:
+            raise RuntimeError("Bash process has died")
+
+        # Generate unique sentinel
+        sentinel = f"<<BASH_COMMAND_DONE_{uuid.uuid4().hex}>>"
+
+        # Send command + sentinel
+        full_command = f"{command}\necho '{sentinel}'\n"
+        self.process.stdin.write(full_command)
+        self.process.stdin.flush()
+
+        # Read output until sentinel appears
+        output_lines = []
+        start_time = asyncio.get_event_loop().time()
+
+        while True:
+            # Check timeout
+            elapsed = asyncio.get_event_loop().time() - start_time
+            if elapsed > timeout:
+                raise asyncio.TimeoutError(
+                    f"Command timed out after {timeout}s: {command[:50]}..."
+                )
+
+            # Read line (non-blocking via asyncio)
+            try:
+                line = await asyncio.wait_for(
+                    asyncio.to_thread(self.process.stdout.readline),
+                    timeout=1.0,
+                )
+            except asyncio.TimeoutError:
+                # No output yet, continue waiting
+                continue
+
+            if not line:
+                # EOF - process died
+                raise RuntimeError("Bash process terminated unexpectedly")
+
+            # Check for sentinel
+            if sentinel in line:
+                break
+
+            output_lines.append(line.rstrip("\n"))
+
+        return "\n".join(output_lines)
+
+    def __del__(self):
+        """Clean up bash process on deletion."""
+        if self.process:
+            self.process.terminate()
+            try:
+                self.process.wait(timeout=2)
+            except subprocess.TimeoutExpired:
+                self.process.kill()
+
+
+class BashTool20250124(BaseAnthropicTool):
+    """Anthropic's native bash_20250124 tool with persistent session.
+
+    Executes bash commands in a long-running shell session. Environment
+    variables and working directory persist across commands.
+
+    Parameters:
+        command (str, optional): Bash command to execute
+        restart (bool, optional): Restart the bash session (clears state)
+    """
+
+    api_type: Literal["bash_20250124"] = "bash_20250124"
+    name: Literal["bash"] = "bash"
+    beta_flag: str = "computer-use-2025-11-24"
+
+    def __init__(self):
+        self._session = _BashSession()
+
+    async def __call__(
+        self,
+        command: str | None = None,
+        restart: bool = False,
+        **kwargs: Any,
+    ) -> ToolResult:
+        """Execute bash command or restart session.
+
+        Args:
+            command: Bash command to execute (optional)
+            restart: Restart the bash session (optional)
+            **kwargs: Additional arguments (ignored)
+
+        Returns:
+            ToolResult with command output or error
+        """
+        if restart:
+            self._session.restart()
+            return ToolResult(output="Bash session restarted successfully.")
+
+        if not command:
+            return ToolResult(
+                error="Either 'command' or 'restart=True' must be provided."
+            )
+
+        try:
+            output = await self._session.run_command(command)
+            return ToolResult(output=output if output else "(no output)")
+        except asyncio.TimeoutError as e:
+            return ToolResult(error=f"Command timed out: {e}")
+        except Exception as e:
+            return ToolResult(error=f"{e}")
+
+    def to_params(self) -> dict[str, Any]:
+        """Convert to Anthropic API tool parameter format.
+
+        Returns:
+            Tool definition for Anthropic API with bash_20250124 type
+        """
+        return {
+            "type": self.api_type,
+            "name": self.name,
+        }

nanobot/agent/tools/anthropic/computer.py

@@ -0,0 +1,472 @@
+"""Computer control tool for VNC desktop interaction.
+
+VNC-based implementation of Anthropic's computer_20251124 native tool.
+
+CRITICAL vncdotool syntax:
+- Use :: (double colon) for port numbers: '172.17.0.1::5900'
+- Single colon means display number (port = display + 5900)
+- vncdotool API is synchronous, wrapped in asyncio.to_thread()
+"""
+
+import asyncio
+import base64
+import tempfile
+from pathlib import Path
+from typing import Literal, Any
+
+from loguru import logger
+
+try:
+    from vncdotool import api as vnc_api
+except ImportError:
+    vnc_api = None
+
+from nanobot.agent.tools.anthropic.base import BaseAnthropicTool, ToolResult
+
+
+class ComputerTool20251124(BaseAnthropicTool):
+    """Computer control via VNC for desktop interaction.
+
+    Supports keyboard input, mouse control, and screenshots.
+    """
+
+    api_type: Literal["computer_20251124"] = "computer_20251124"
+    name: Literal["computer"] = "computer"
+    beta_flag: str = "computer-use-2025-11-24"
+
+    def __init__(
+        self,
+        vnc_host: str = "172.17.0.1",
+        vnc_port: int = 5900,
+        vnc_username: str = "deckedmoth",
+        vnc_password: str = "123",
+        display_width_px: int = 1024,
+        display_height_px: int = 768,
+    ):
+        """Initialize computer tool.
+
+        Args:
+            vnc_host: VNC server hostname/IP
+            vnc_port: VNC server port
+            vnc_username: VNC username (if required)
+            vnc_password: VNC password (if required)
+            display_width_px: Display width for screenshots
+            display_height_px: Display height for screenshots
+        """
+        if vnc_api is None:
+            raise ImportError(
+                "vncdotool is required for computer tool. "
+                "Install with: pip install vncdotool"
+            )
+
+        self.vnc_host = vnc_host
+        self.vnc_port = vnc_port
+        self.vnc_username = vnc_username
+        self.vnc_password = vnc_password
+        self.display_width_px = display_width_px
+        self.display_height_px = display_height_px
+
+    def to_params(self):
+        """Return tool definition for API."""
+        return {
+            "type": self.api_type,
+            "name": self.name,
+            "display_width_px": self.display_width_px,
+            "display_height_px": self.display_height_px,
+            "enable_zoom": True,
+        }
+
+    async def __call__(
+        self,
+        action: Literal[
+            # Basic actions
+            "key", "type", "mouse_move", "screenshot", "cursor_position",
+            # Click actions
+            "left_click", "right_click", "middle_click", "double_click", "triple_click",
+            # Advanced mouse
+            "left_mouse_down", "left_mouse_up", "left_click_drag",
+            # Scroll
+            "scroll",
+            # Advanced keyboard
+            "hold_key", "paste",  # paste bypasses keyboard layout issues
+            # Utility
+            "wait",
+            # Zoom (computer_20251124)
+            "zoom"
+        ] | None = None,
+        coordinate: list[int] | None = None,
+        text: str | None = None,
+        # Additional parameters for specific actions
+        start_coordinate: list[int] | None = None,  # For left_click_drag
+        scroll_direction: Literal["up", "down", "left", "right"] | None = None,  # For scroll
+        scroll_amount: int | None = None,  # For scroll
+        duration: float | None = None,  # For hold_key, wait
+        region: list[int] | None = None,  # For zoom [x1, y1, x2, y2]
+        key: str | None = None,  # Modifier key for clicks/scroll
+        **kwargs,
+    ) -> ToolResult:
+        """Execute computer control action.
+
+        Args:
+            action: Action to perform
+            coordinate: [x, y] coordinates for mouse actions
+            text: Text to type or key name to press
+
+        Returns:
+            ToolResult with action result or screenshot
+        """
+        if not action:
+            return ToolResult(error="No action provided")
+
+        try:
+            # Connect with correct syntax: double colon (::) for port number
+            result = await asyncio.to_thread(
+                self._execute_vnc_action,
+                action,
+                coordinate,
+                text,
+                start_coordinate,
+                scroll_direction,
+                scroll_amount,
+                duration,
+                region,
+                key
+            )
+            return result
+        except Exception as e:
+            logger.error(f"Computer tool error: {e}")
+            return ToolResult(error=str(e))
+
+    def _execute_vnc_action(
+        self,
+        action: str,
+        coordinate: list[int] | None,
+        text: str | None,
+        start_coordinate: list[int] | None,
+        scroll_direction: str | None,
+        scroll_amount: int | None,
+        duration: float | None,
+        region: list[int] | None,
+        modifier_key: str | None
+    ) -> ToolResult:
+        """Execute VNC action in thread (vncdotool is synchronous).
+
+        CRITICAL: vncdotool syntax requires :: (double colon) for port numbers!
+        Single colon means display number: 172.17.0.1:5900 = display 5900 (port 11800)
+        Double colon means port number: 172.17.0.1::5900 = port 5900
+        """
+        # Connect with DOUBLE colon for port
+        server = f"{self.vnc_host}::{self.vnc_port}"
+        client = vnc_api.connect(server, username=self.vnc_username, password=self.vnc_password)
+
+        try:
+            # Basic actions
+            if action == "screenshot":
+                return self._screenshot(client)
+            elif action == "key":
+                return self._key(client, text or "")
+            elif action == "type":
+                return self._type(client, text or "")
+            elif action == "mouse_move":
+                return self._mouse_move(client, coordinate or [0, 0])
+            elif action == "cursor_position":
+                return ToolResult(output="Cursor position tracking not implemented")
+
+            # Click actions
+            elif action == "left_click":
+                return self._left_click(client, coordinate, modifier_key)
+            elif action == "right_click":
+                return self._right_click(client, coordinate, modifier_key)
+            elif action == "middle_click":
+                return self._middle_click(client, coordinate, modifier_key)
+            elif action == "double_click":
+                return self._double_click(client, coordinate, modifier_key)
+            elif action == "triple_click":
+                return self._triple_click(client, coordinate, modifier_key)
+
+            # Advanced mouse
+            elif action == "left_mouse_down":
+                return self._left_mouse_down(client)
+            elif action == "left_mouse_up":
+                return self._left_mouse_up(client)
+            elif action == "left_click_drag":
+                return self._left_click_drag(client, start_coordinate, coordinate)
+
+            # Scroll
+            elif action == "scroll":
+                return self._scroll(client, coordinate, scroll_direction, scroll_amount, modifier_key)
+
+            # Advanced keyboard
+            elif action == "hold_key":
+                return self._hold_key(client, text, duration)
+            elif action == "paste":
+                return self._paste(client, text)
+
+            # Utility
+            elif action == "wait":
+                return self._wait(duration)
+
+            # Zoom
+            elif action == "zoom":
+                return self._zoom(client, region)
+
+            else:
+                return ToolResult(error=f"Unknown action: {action}")
+        finally:
+            client.disconnect()
+
+    def _screenshot(self, client) -> ToolResult:
+        """Capture screenshot.
+
+        captureScreen() requires a file path, can't use BytesIO without format.
+        Use temp file then read as bytes.
+
+        IMPORTANT: VNC display may be in sleep mode. Wake it up before screenshot.
+        """
+        import time
+
+        # Wake up display (move mouse + press space to wake screensaver)
+        client.mouseMove(self.display_width_px // 2, self.display_height_px // 2)
+        time.sleep(0.1)
+        client.keyPress('space')
+        time.sleep(0.5)  # Wait for display to wake
+
+        # Request framebuffer update
+        client.refreshScreen()
+        time.sleep(0.5)  # Wait for framebuffer refresh
+
+        # Capture screenshot
+        with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
+            tmp_path = tmp.name
+
+        client.captureScreen(tmp_path)
+        png_data = Path(tmp_path).read_bytes()
+        Path(tmp_path).unlink()  # Clean up
+
+        base64_data = base64.b64encode(png_data).decode()
+        return ToolResult(base64_image=base64_data)
+
+    def _key(self, client, text: str) -> ToolResult:
+        """Press a key.
+
+        Use lowercase names from KEYMAP: 'esc', 'return', 'tab', etc.
+        Single characters work directly: 'a', 'b', '1', etc.
+        """
+        client.keyPress(text.lower())
+        return ToolResult(output=f"Pressed key: {text}")
+
+    def _type(self, client, text: str) -> ToolResult:
+        """Type text character by character."""
+        for char in text:
+            client.keyPress(char)
+        return ToolResult(output=f"Typed: {text}")
+
+    def _mouse_move(self, client, coordinate: list[int]) -> ToolResult:
+        """Move mouse to coordinate."""
+        x, y = coordinate[0], coordinate[1]
+        client.mouseMove(x, y)
+        return ToolResult(output=f"Moved mouse to ({x}, {y})")
+
+    def _left_click(self, client, coordinate: list[int] | None = None, modifier_key: str | None = None) -> ToolResult:
+        """Left click at coordinate (or current position)."""
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+        client.mousePress(1)  # 1 = left button
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+        return ToolResult(output="Left clicked")
+
+    def _right_click(self, client, coordinate: list[int] | None = None, modifier_key: str | None = None) -> ToolResult:
+        """Right click at coordinate (or current position)."""
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+        client.mousePress(3)  # 3 = right button
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+        return ToolResult(output="Right clicked")
+
+    def _middle_click(self, client, coordinate: list[int] | None = None, modifier_key: str | None = None) -> ToolResult:
+        """Middle click at coordinate (or current position)."""
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+        client.mousePress(2)  # 2 = middle button
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+        return ToolResult(output="Middle clicked")
+
+    def _double_click(self, client, coordinate: list[int] | None = None, modifier_key: str | None = None) -> ToolResult:
+        """Double click at coordinate (or current position)."""
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+        client.mousePress(1)
+        import time
+        time.sleep(0.01)  # 10ms delay between clicks
+        client.mousePress(1)
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+        return ToolResult(output="Double clicked")
+
+    def _triple_click(self, client, coordinate: list[int] | None = None, modifier_key: str | None = None) -> ToolResult:
+        """Triple click at coordinate (or current position)."""
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+        import time
+        for _ in range(3):
+            client.mousePress(1)
+            time.sleep(0.01)  # 10ms delay between clicks
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+        return ToolResult(output="Triple clicked")
+
+    def _left_mouse_down(self, client) -> ToolResult:
+        """Press and hold left mouse button."""
+        client.mouseDown(1)
+        return ToolResult(output="Left mouse button down")
+
+    def _left_mouse_up(self, client) -> ToolResult:
+        """Release left mouse button."""
+        client.mouseUp(1)
+        return ToolResult(output="Left mouse button up")
+
+    def _left_click_drag(self, client, start_coordinate: list[int] | None, end_coordinate: list[int] | None) -> ToolResult:
+        """Drag from start to end coordinate."""
+        if not start_coordinate or not end_coordinate:
+            return ToolResult(error="Both start_coordinate and coordinate required for left_click_drag")
+
+        start_x, start_y = start_coordinate[0], start_coordinate[1]
+        end_x, end_y = end_coordinate[0], end_coordinate[1]
+
+        client.mouseMove(start_x, start_y)
+        client.mouseDown(1)
+        client.mouseDrag(end_x, end_y)  # vncdotool's mouseDrag method
+        client.mouseUp(1)
+        return ToolResult(output=f"Dragged from ({start_x}, {start_y}) to ({end_x}, {end_y})")
+
+    def _scroll(
+        self,
+        client,
+        coordinate: list[int] | None,
+        scroll_direction: str | None,
+        scroll_amount: int | None,
+        modifier_key: str | None
+    ) -> ToolResult:
+        """Scroll in specified direction."""
+        if not scroll_direction or scroll_direction not in ("up", "down", "left", "right"):
+            return ToolResult(error=f"scroll_direction must be 'up', 'down', 'left', or 'right'")
+
+        amount = scroll_amount or 5  # Default scroll amount
+
+        # Move to coordinate if specified
+        if coordinate:
+            client.mouseMove(coordinate[0], coordinate[1])
+
+        # VNC scroll buttons: 4=up, 5=down, 6=left, 7=right
+        scroll_button = {"up": 4, "down": 5, "left": 6, "right": 7}[scroll_direction]
+
+        # Hold modifier key if specified
+        if modifier_key:
+            client.keyDown(modifier_key.lower())
+
+        # Scroll by pressing scroll button multiple times
+        import time
+        for _ in range(amount):
+            client.mousePress(scroll_button)
+            time.sleep(0.05)  # Small delay between scroll events
+
+        if modifier_key:
+            client.keyUp(modifier_key.lower())
+
+        return ToolResult(output=f"Scrolled {scroll_direction} {amount} times")
+
+    def _hold_key(self, client, text: str | None, duration: float | None) -> ToolResult:
+        """Hold a key for specified duration."""
+        if not text:
+            return ToolResult(error="text (key name) required for hold_key")
+
+        hold_duration = duration or 1.0  # Default 1 second
+        if hold_duration < 0 or hold_duration > 100:
+            return ToolResult(error="duration must be between 0 and 100 seconds")
+
+        import time
+        client.keyDown(text.lower())
+        time.sleep(hold_duration)
+        client.keyUp(text.lower())
+
+        return ToolResult(output=f"Held key '{text}' for {hold_duration}s")
+
+    def _paste(self, client, text: str | None) -> ToolResult:
+        """Paste text via clipboard (bypasses keyboard layout issues).
+
+        This uses VNC clipboard to send text, avoiding keyboard layout mismatches
+        where characters like ':' become ';' due to different keyboard mappings.
+        """
+        if not text:
+            return ToolResult(error="text required for paste")
+
+        # Send text via clipboard and trigger paste
+        client.paste(text)
+        return ToolResult(output=f"Pasted via clipboard: {text[:50]}{'...' if len(text) > 50 else ''}")
+
+    def _wait(self, duration: float | None) -> ToolResult:
+        """Wait for specified duration."""
+        wait_duration = duration or 1.0
+        if wait_duration < 0 or wait_duration > 100:
+            return ToolResult(error="duration must be between 0 and 100 seconds")
+
+        import time
+        time.sleep(wait_duration)
+        return ToolResult(output=f"Waited {wait_duration}s")
+
+    def _zoom(self, client, region: list[int] | None) -> ToolResult:
+        """Zoom into specified region and capture screenshot.
+
+        Region format: [x1, y1, x2, y2] - top-left and bottom-right corners.
+        """
+        if not region or len(region) != 4:
+            return ToolResult(error="region must be [x1, y1, x2, y2]")
+
+        # Take full screenshot first
+        import time
+        from PIL import Image
+
+        # Wake up display
+        client.mouseMove(self.display_width_px // 2, self.display_height_px // 2)
+        time.sleep(0.1)
+        client.keyPress('space')
+        time.sleep(0.5)
+        client.refreshScreen()
+        time.sleep(0.5)
+
+        # Capture screenshot
+        with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
+            tmp_path = tmp.name
+
+        client.captureScreen(tmp_path)
+
+        # Crop to region
+        img = Image.open(tmp_path)
+        x1, y1, x2, y2 = region
+        cropped = img.crop((x1, y1, x2, y2))
+
+        # Save cropped image
+        cropped_path = tmp_path.replace('.png', '_cropped.png')
+        cropped.save(cropped_path)
+
+        # Read and encode
+        png_data = Path(cropped_path).read_bytes()
+        Path(tmp_path).unlink()  # Clean up original
+        Path(cropped_path).unlink()  # Clean up cropped
+
+        base64_data = base64.b64encode(png_data).decode()
+        return ToolResult(base64_image=base64_data)
+

nanobot/agent/tools/anthropic/edit.py

@@ -0,0 +1,257 @@
+"""
+EditTool20250728 - File editor with view/create/str_replace/insert commands.
+
+Anthropic's native trained tool for file editing operations.
+"""
+
+from pathlib import Path
+from typing import Any, Literal
+
+from .base import BaseAnthropicTool, CLIResult
+
+
+class EditTool20250728(BaseAnthropicTool):
+    """
+    File editor supporting view, create, str_replace, and insert operations.
+
+    Trained by Anthropic, this tool provides comprehensive file editing
+    capabilities with strict safety checks.
+    """
+
+    api_type: Literal["text_editor_20250728"] = "text_editor_20250728"
+    name: Literal["str_replace_based_edit_tool"] = "str_replace_based_edit_tool"
+    beta_flag: str = "computer-use-2025-11-24"
+
+    async def __call__(
+        self,
+        command: Literal["view", "create", "str_replace", "insert"],
+        path: str,
+        file_text: str | None = None,
+        old_str: str | None = None,
+        new_str: str | None = None,
+        insert_line: int | None = None,
+        view_range: list[int] | None = None,
+        **kwargs: Any,
+    ) -> CLIResult:
+        """
+        Execute a file editing command.
+
+        Args:
+            command: The operation to perform
+            path: Absolute path to the file
+            file_text: Full file content (for create)
+            old_str: String to replace (for str_replace)
+            new_str: Replacement string (for str_replace/insert)
+            insert_line: Line number to insert at (for insert)
+            view_range: [start, end] line range (for view)
+            **kwargs: Additional arguments (ignored)
+
+        Returns:
+            CLIResult with exit code, output, and error
+        """
+        # Validate absolute path
+        file_path = Path(path)
+        if not file_path.is_absolute():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: path must be absolute, got: {path}"
+            )
+
+        try:
+            if command == "view":
+                return await self._view(file_path, view_range)
+            elif command == "create":
+                return await self._create(file_path, file_text)
+            elif command == "str_replace":
+                return await self._str_replace(file_path, old_str, new_str)
+            elif command == "insert":
+                return await self._insert(file_path, insert_line, new_str)
+            else:
+                return CLIResult(
+                    exit_code=1,
+                    output="",
+                    error=f"Error: unknown command: {command}"
+                )
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: {str(e)}"
+            )
+
+    async def _view(self, path: Path, view_range: list[int] | None) -> CLIResult:
+        """View file contents with line numbers."""
+        if not path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: file not found: {path}"
+            )
+
+        content = path.read_text()
+        lines = content.splitlines(keepends=True)
+
+        # Apply view range if specified
+        if view_range:
+            start, end = view_range
+            lines = lines[start - 1:end]
+            start_num = start
+        else:
+            start_num = 1
+
+        # Format with line numbers
+        formatted_lines = [
+            f"{start_num + i}|{line.rstrip()}"
+            for i, line in enumerate(lines)
+        ]
+
+        return CLIResult(
+            exit_code=0,
+            output="\n".join(formatted_lines),
+            error=""
+        )
+
+    async def _create(self, path: Path, file_text: str | None) -> CLIResult:
+        """Create a new file with the given content."""
+        if file_text is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: file_text is required for create command"
+            )
+
+        if path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: file already exists: {path}"
+            )
+
+        # Create parent directories if needed
+        path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Write the file
+        path.write_text(file_text)
+
+        return CLIResult(
+            exit_code=0,
+            output=f"File created: {path}",
+            error=""
+        )
+
+    async def _str_replace(
+        self,
+        path: Path,
+        old_str: str | None,
+        new_str: str | None
+    ) -> CLIResult:
+        """Replace a unique occurrence of old_str with new_str."""
+        if old_str is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: old_str is required for str_replace command"
+            )
+
+        if new_str is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: new_str is required for str_replace command"
+            )
+
+        if not path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: file not found: {path}"
+            )
+
+        content = path.read_text()
+
+        # Check for unique match
+        count = content.count(old_str)
+        if count == 0:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: old_str not found in file: {old_str!r}"
+            )
+        elif count > 1:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: old_str must match exactly once, found {count} matches"
+            )
+
+        # Perform replacement
+        new_content = content.replace(old_str, new_str)
+        path.write_text(new_content)
+
+        return CLIResult(
+            exit_code=0,
+            output=f"Replaced 1 occurrence in: {path}",
+            error=""
+        )
+
+    async def _insert(
+        self,
+        path: Path,
+        insert_line: int | None,
+        new_str: str | None
+    ) -> CLIResult:
+        """Insert new_str at the specified line number."""
+        if insert_line is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: insert_line is required for insert command"
+            )
+
+        if new_str is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: new_str is required for insert command"
+            )
+
+        if not path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: file not found: {path}"
+            )
+
+        content = path.read_text()
+        lines = content.splitlines(keepends=True)
+
+        # Validate line number
+        if insert_line < 0 or insert_line > len(lines):
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: insert_line {insert_line} out of range [0, {len(lines)}]"
+            )
+
+        # Insert the new string
+        lines.insert(insert_line, new_str)
+        new_content = "".join(lines)
+        path.write_text(new_content)
+
+        return CLIResult(
+            exit_code=0,
+            output=f"Inserted text at line {insert_line} in: {path}",
+            error=""
+        )
+
+    def to_params(self) -> dict[str, Any]:
+        """Convert to Anthropic API tool parameter format.
+
+        Returns:
+            Tool definition for Anthropic API with text_editor_20250728 type
+        """
+        return {
+            "type": self.api_type,
+            "name": self.name,
+        }

nanobot/agent/tools/anthropic/memory.py

@@ -0,0 +1,592 @@
+"""MemoryTool20250818 - Anthropic's native memory tool.
+
+Enables Claude to create, read, update, and delete files in a persistent
+/memories directory across conversations.
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any, Literal
+
+from nanobot.agent.tools.anthropic.base import BaseAnthropicTool, CLIResult
+
+
+class MemoryTool20250818(BaseAnthropicTool):
+    """Anthropic's native memory_20250818 tool.
+
+    Client-side tool for persistent memory storage across conversations.
+    All operations are restricted to the /memories directory.
+
+    Commands:
+        - view: Show directory contents or file contents with line numbers
+        - create: Create a new file with content
+        - str_replace: Replace unique text occurrence in a file
+        - insert: Insert text at a specific line number
+        - delete: Delete a file or directory
+        - rename: Rename or move a file/directory
+    """
+
+    api_type: Literal["memory_20250818"] = "memory_20250818"
+    name: Literal["memory"] = "memory"
+    beta_flag: str = "context-management-2025-06-27"
+
+    def __init__(self, workspace: Path):
+        """Initialize Memory tool.
+
+        Args:
+            workspace: Root workspace directory
+        """
+        self.workspace = workspace
+        self.memories_dir = workspace / "memories"
+        self.memories_dir.mkdir(parents=True, exist_ok=True)
+
+    def _validate_memory_path(self, path: str) -> Path:
+        """Validate and resolve path to prevent directory traversal.
+
+        Args:
+            path: Path string starting with /memories
+
+        Returns:
+            Validated absolute Path within memories directory
+
+        Raises:
+            ValueError: If path is invalid or escapes /memories directory
+        """
+        # Reject paths not starting with /memories
+        if not path.startswith("/memories"):
+            raise ValueError(f"Path must start with /memories, got: {path}")
+
+        # Resolve to absolute path within workspace
+        # lstrip("/") removes leading slash: "/memories/file.txt" -> "memories/file.txt"
+        relative_path = path.lstrip("/")
+        full_path = (self.workspace / relative_path).resolve()
+
+        # Verify resolved path is within memories directory
+        memories_dir_resolved = self.memories_dir.resolve()
+        try:
+            full_path.relative_to(memories_dir_resolved)
+        except ValueError:
+            raise ValueError(f"Path escapes /memories directory: {path}")
+
+        return full_path
+
+    async def __call__(
+        self,
+        command: Literal["view", "create", "str_replace", "insert", "delete", "rename"],
+        path: str | None = None,
+        old_path: str | None = None,
+        new_path: str | None = None,
+        file_text: str | None = None,
+        old_str: str | None = None,
+        new_str: str | None = None,
+        insert_line: int | None = None,
+        insert_text: str | None = None,
+        view_range: list[int] | None = None,
+        **kwargs: Any,
+    ) -> CLIResult:
+        """Execute memory command.
+
+        Args:
+            command: Command to execute
+            path: File/directory path (for view/create/str_replace/insert/delete)
+            old_path: Source path (for rename)
+            new_path: Destination path (for rename)
+            file_text: File content (for create)
+            old_str: Text to find (for str_replace)
+            new_str: Replacement text (for str_replace)
+            insert_line: Line number to insert at (for insert)
+            insert_text: Text to insert (for insert)
+            view_range: [start_line, end_line] for view
+            **kwargs: Additional arguments (ignored)
+
+        Returns:
+            CLIResult with command output or error
+        """
+        try:
+            if command == "view":
+                return await self._view(path, view_range)
+            elif command == "create":
+                return await self._create(path, file_text)
+            elif command == "str_replace":
+                return await self._str_replace(path, old_str, new_str)
+            elif command == "insert":
+                return await self._insert(path, insert_line, insert_text)
+            elif command == "delete":
+                return await self._delete(path)
+            elif command == "rename":
+                return await self._rename(old_path, new_path)
+            else:
+                return CLIResult(
+                    exit_code=1,
+                    output="",
+                    error=f"Unknown command: {command}"
+                )
+        except ValueError as e:
+            # Path security error
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: {e}"
+            )
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: {e}"
+            )
+
+    async def _view(
+        self,
+        path: str | None,
+        view_range: list[int] | None = None,
+    ) -> CLIResult:
+        """View directory listing or file contents.
+
+        Args:
+            path: Path to view
+            view_range: Optional [start_line, end_line] for file viewing (1-indexed)
+
+        Returns:
+            CLIResult with directory listing or file contents
+        """
+        if path is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: path is required for view command"
+            )
+
+        path_str = path  # Keep original for error messages
+        validated_path = self._validate_memory_path(path)
+
+        # Directory listing
+        if validated_path.is_dir():
+            return await self._view_directory(validated_path, path_str)
+
+        # File viewing
+        if not validated_path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"The path {path_str} does not exist. Please provide a valid path."
+            )
+
+        # Read file
+        try:
+            content = validated_path.read_text()
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error reading file: {e}"
+            )
+
+        lines = content.splitlines(keepends=True)
+
+        # Check line limit
+        if len(lines) > 999_999:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"File {path_str} exceeds maximum line limit of 999,999 lines."
+            )
+
+        # Apply view_range if specified
+        if view_range:
+            start, end = view_range
+            # Convert to 0-indexed, clamp to valid range
+            start_idx = max(0, start - 1)
+            end_idx = min(len(lines), end)
+            lines_to_show = lines[start_idx:end_idx]
+            start_num = start
+        else:
+            lines_to_show = lines
+            start_num = 1
+
+        # Format with line numbers (6 chars, right-aligned, tab-separated)
+        formatted_lines = []
+        for i, line in enumerate(lines_to_show):
+            line_num = start_num + i
+            # Remove trailing newline for display
+            line_content = line.rstrip("\n")
+            formatted_lines.append(f"{line_num:6d}\t{line_content}")
+
+        output = f"Here's the content of {path_str} with line numbers:\n"
+        output += "\n".join(formatted_lines)
+
+        return CLIResult(
+            exit_code=0,
+            output=output,
+            error=""
+        )
+
+    async def _view_directory(self, path: Path, path_str: str) -> CLIResult:
+        """View directory listing up to 2 levels deep.
+
+        Args:
+            path: Validated Path object
+            path_str: Original path string for display
+
+        Returns:
+            CLIResult with directory listing
+        """
+        import os
+
+        def format_size(size_bytes: int) -> str:
+            """Convert bytes to human-readable format."""
+            for unit in ['B', 'K', 'M', 'G', 'T']:
+                if size_bytes < 1024:
+                    return f"{size_bytes:.1f}{unit}"
+                size_bytes /= 1024
+            return f"{size_bytes:.1f}P"
+
+        lines = []
+        header = f"Here're the files and directories up to 2 levels deep in {path_str}, excluding hidden items and node_modules:"
+        lines.append(header)
+
+        # Walk directory tree (max depth 2)
+        base_depth = str(path).count(os.sep)
+
+        for root, dirs, files in os.walk(path):
+            # Calculate current depth
+            current_depth = str(root).count(os.sep) - base_depth
+
+            # Filter out hidden items and node_modules at this level
+            dirs[:] = [d for d in dirs if not d.startswith('.') and d != 'node_modules']
+
+            # Stop if we've gone too deep
+            if current_depth >= 2:
+                dirs.clear()  # Don't recurse further
+                continue
+
+            # Get size and add directory entry
+            root_path = Path(root)
+            try:
+                # Directory size (sum of all files within, or 4K default)
+                dir_size = sum(f.stat().st_size for f in root_path.rglob('*') if f.is_file())
+                if dir_size == 0:
+                    dir_size = 4096  # Default directory size
+                size_str = format_size(dir_size)
+
+                # Convert absolute path to /memories/... format
+                relative = root_path.relative_to(self.workspace)
+                display_path = "/" + str(relative).replace(os.sep, "/")
+
+                lines.append(f"{size_str}\t{display_path}")
+            except Exception:
+                pass
+
+            # Add file entries at this level
+            for filename in sorted(files):
+                if filename.startswith('.'):
+                    continue  # Skip hidden files
+
+                file_path = root_path / filename
+                try:
+                    file_size = file_path.stat().st_size
+                    size_str = format_size(file_size)
+
+                    # Convert to /memories/... format
+                    relative = file_path.relative_to(self.workspace)
+                    display_path = "/" + str(relative).replace(os.sep, "/")
+
+                    lines.append(f"{size_str}\t{display_path}")
+                except Exception:
+                    pass
+
+        return CLIResult(
+            exit_code=0,
+            output="\n".join(lines),
+            error=""
+        )
+
+    async def _create(
+        self,
+        path: str | None,
+        file_text: str | None,
+    ) -> CLIResult:
+        """Create a new file with content.
+
+        Args:
+            path: File path to create
+            file_text: Content to write
+
+        Returns:
+            CLIResult with success message or error
+        """
+        if path is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: path is required for create command"
+            )
+
+        if file_text is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: file_text is required for create command"
+            )
+
+        path_str = path  # Keep original for error messages
+        validated_path = self._validate_memory_path(path)
+
+        # Check if file already exists
+        if validated_path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: File {path_str} already exists"
+            )
+
+        # Create parent directories if needed
+        try:
+            validated_path.parent.mkdir(parents=True, exist_ok=True)
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error creating parent directories: {e}"
+            )
+
+        # Write file
+        try:
+            validated_path.write_text(file_text)
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error writing file: {e}"
+            )
+
+        return CLIResult(
+            exit_code=0,
+            output=f"File created successfully at: {path_str}",
+            error=""
+        )
+
+    async def _str_replace(
+        self,
+        path: str | None,
+        old_str: str | None,
+        new_str: str | None,
+    ) -> CLIResult:
+        """Replace unique occurrence of old_str with new_str."""
+        if path is None or old_str is None or new_str is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: old_str and new_str are required for str_replace command"
+            )
+
+        path_str = path
+        validated_path = self._validate_memory_path(path)
+
+        if not validated_path.exists() or validated_path.is_dir():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: The path {path_str} does not exist. Please provide a valid path."
+            )
+
+        content = validated_path.read_text()
+        count = content.count(old_str)
+
+        if count == 0:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"No replacement was performed, old_str `{old_str}` did not appear verbatim in {path_str}."
+            )
+        elif count > 1:
+            lines = content.splitlines()
+            line_nums = [i + 1 for i, line in enumerate(lines) if old_str in line]
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"No replacement was performed. Multiple occurrences of old_str `{old_str}` in lines: {line_nums}. Please ensure it is unique"
+            )
+
+        new_content = content.replace(old_str, new_str, 1)
+        validated_path.write_text(new_content)
+
+        return CLIResult(
+            exit_code=0,
+            output="The memory file has been edited.",
+            error=""
+        )
+
+    async def _insert(
+        self, path: str | None, insert_line: int | None, insert_text: str | None
+    ) -> CLIResult:
+        """Insert text at a specific line number.
+
+        Args:
+            path: File path to modify
+            insert_line: Line number to insert at (0 = beginning)
+            insert_text: Text to insert
+
+        Returns:
+            CLIResult with success message or error
+        """
+        if path is None or insert_line is None or insert_text is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: path, insert_line, and insert_text are required for insert command"
+            )
+
+        path_str = path
+        validated_path = self._validate_memory_path(path)
+
+        if not validated_path.exists() or validated_path.is_dir():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: The path {path_str} does not exist. Please provide a valid path."
+            )
+
+        # Read current content
+        content = validated_path.read_text()
+        lines = content.splitlines(keepends=True)
+
+        # Validate insert_line
+        if insert_line < 0 or insert_line > len(lines):
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Invalid `insert_line` parameter: {insert_line}. It should be within 0 to {len(lines)}"
+            )
+
+        # Insert text at specified line
+        lines.insert(insert_line, insert_text)
+        new_content = "".join(lines)
+        validated_path.write_text(new_content)
+
+        return CLIResult(
+            exit_code=0,
+            output=f"The file {path_str} has been edited.",
+            error=""
+        )
+
+    async def _delete(self, path: str | None) -> CLIResult:
+        """Delete a file or directory.
+
+        Args:
+            path: Path to delete
+
+        Returns:
+            CLIResult with success message or error
+        """
+        if path is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: path is required for delete command"
+            )
+
+        path_str = path
+        validated_path = self._validate_memory_path(path)
+
+        if not validated_path.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: The path {path_str} does not exist. Please provide a valid path."
+            )
+
+        # Delete file or directory
+        try:
+            if validated_path.is_dir():
+                import shutil
+                shutil.rmtree(validated_path)
+            else:
+                validated_path.unlink()
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error deleting {path_str}: {e}"
+            )
+
+        return CLIResult(
+            exit_code=0,
+            output=f"Successfully deleted {path_str}",
+            error=""
+        )
+
+    async def _rename(self, old_path: str | None, new_path: str | None) -> CLIResult:
+        """Rename or move a file or directory.
+
+        Args:
+            old_path: Source path
+            new_path: Destination path
+
+        Returns:
+            CLIResult with success message or error
+        """
+        if old_path is None or new_path is None:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error="Error: old_path and new_path are required for rename command"
+            )
+
+        old_path_str = old_path
+        new_path_str = new_path
+        validated_old = self._validate_memory_path(old_path)
+        validated_new = self._validate_memory_path(new_path)
+
+        # Check if source exists
+        if not validated_old.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: The path {old_path_str} does not exist. Please provide a valid path."
+            )
+
+        # Check if destination already exists
+        if validated_new.exists():
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error: The destination {new_path_str} already exists. Please provide a different destination."
+            )
+
+        # Create parent directories if needed
+        try:
+            validated_new.parent.mkdir(parents=True, exist_ok=True)
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error creating parent directories: {e}"
+            )
+
+        # Rename/move
+        try:
+            validated_old.rename(validated_new)
+        except Exception as e:
+            return CLIResult(
+                exit_code=1,
+                output="",
+                error=f"Error renaming {old_path_str}: {e}"
+            )
+
+        return CLIResult(
+            exit_code=0,
+            output=f"Successfully renamed {old_path_str} to {new_path_str}",
+            error=""
+        )
+
+    def to_params(self) -> dict[str, Any]:
+        """Convert to Anthropic API tool parameter format.
+
+        Returns:
+            Tool definition for Anthropic API
+        """
+        return {
+            "type": self.api_type,
+            "name": self.name,
+        }

nanobot/agent/tools/message.py

@@ -1,49 +1,44 @@
 """Message tool for sending messages to users."""
 
-from typing import Any, Awaitable, Callable
+from typing import Any, Callable, Awaitable
 
 from nanobot.agent.tools.base import Tool
 from nanobot.bus.events import OutboundMessage
+from nanobot.session import SessionManager
 
 
 class MessageTool(Tool):
     """Tool to send messages to users on chat channels."""
-
+    
     def __init__(
         self,
         send_callback: Callable[[OutboundMessage], Awaitable[None]] | None = None,
+        sessions: SessionManager | None = None,
         default_channel: str = "",
-        default_chat_id: str = "",
+        default_chat_id: str = ""
-        default_message_id: str | None = None,
     ):
         self._send_callback = send_callback
+        self._sessions = sessions
         self._default_channel = default_channel
         self._default_chat_id = default_chat_id
-        self._default_message_id = default_message_id
+    
-        self._sent_in_turn: bool = False
+    def set_context(self, channel: str, chat_id: str) -> None:
-
-    def set_context(self, channel: str, chat_id: str, message_id: str | None = None) -> None:
         """Set the current message context."""
         self._default_channel = channel
         self._default_chat_id = chat_id
-        self._default_message_id = message_id
+    
-
     def set_send_callback(self, callback: Callable[[OutboundMessage], Awaitable[None]]) -> None:
         """Set the callback for sending messages."""
         self._send_callback = callback
-
+    
-    def start_turn(self) -> None:
-        """Reset per-turn send tracking."""
-        self._sent_in_turn = False
-
     @property
     def name(self) -> str:
         return "message"
-
+    
     @property
     def description(self) -> str:
         return "Send a message to the user. Use this when you want to communicate something."
-
+    
     @property
     def parameters(self) -> dict[str, Any]:
         return {
@@ -53,6 +48,11 @@ class MessageTool(Tool):
                     "type": "string",
                     "description": "The message content to send"
                 },
+                "media": {
+                    "type": "array",
+                    "items": {"type": "string"},
+                    "description": "Optional: list of media file paths or URLs to attach"
+                },
                 "channel": {
                     "type": "string",
                     "description": "Optional: target channel (telegram, discord, etc.)"
@@ -60,28 +60,21 @@ class MessageTool(Tool):
                 "chat_id": {
                     "type": "string",
                     "description": "Optional: target chat/user ID"
-                },
-                "media": {
-                    "type": "array",
-                    "items": {"type": "string"},
-                    "description": "Optional: list of file paths to attach (images, audio, documents)"
                 }
             },
             "required": ["content"]
         }
-
+    
     async def execute(
         self,
         content: str,
+        media: list[str] | None = None,
         channel: str | None = None,
         chat_id: str | None = None,
-        message_id: str | None = None,
-        media: list[str] | None = None,
         **kwargs: Any
     ) -> str:
         channel = channel or self._default_channel
         chat_id = chat_id or self._default_chat_id
-        message_id = message_id or self._default_message_id
 
         if not channel or not chat_id:
             return "Error: No target channel/chat specified"
@@ -93,17 +86,18 @@ class MessageTool(Tool):
             channel=channel,
             chat_id=chat_id,
             content=content,
-            media=media or [],
+            media=media or []
-            metadata={
-                "message_id": message_id,
-            }
         )
-
+        
         try:
             await self._send_callback(msg)
-            if channel == self._default_channel and chat_id == self._default_chat_id:
+
-                self._sent_in_turn = True
+            if self._sessions:
-            media_info = f" with {len(media)} attachments" if media else ""
+                session_key = f"{channel}:{chat_id}"
-            return f"Message sent to {channel}:{chat_id}{media_info}"
+                session = self._sessions.get_or_create(session_key)
+                session.add_message("assistant", content)
+                self._sessions.save(session)
+
+            return f"Message sent to {channel}:{chat_id}"
         except Exception as e:
             return f"Error sending message: {str(e)}"

nanobot/agent/tools/registry.py

@@ -32,35 +32,68 @@ class ToolRegistry:
         return name in self._tools
     
     def get_definitions(self) -> list[dict[str, Any]]:
-        """Get all tool definitions in OpenAI format."""
+        """Get tool definitions for all registered tools.
-        return [tool.to_schema() for tool in self._tools.values()]
-    
-    async def execute(self, name: str, params: dict[str, Any]) -> str:
-        """Execute a tool by name with given parameters."""
-        _HINT = "\n\n[Analyze the error above and try a different approach.]"
 
+        Supports both function tools (with to_schema) and native tools (with to_params).
+        """
+        definitions = []
+        for tool in self._tools.values():
+            if hasattr(tool, 'to_params'):  # Native Anthropic tool
+                definitions.append(tool.to_params())
+            elif hasattr(tool, 'to_schema'):  # Function tool
+                definitions.append(tool.to_schema())
+            else:
+                raise ValueError(f"Tool {tool.name} has no schema method (to_params or to_schema)")
+        return definitions
+    
+    async def execute(self, name: str, params: dict[str, Any]) -> Any:
+        """
+        Execute a tool by name with given parameters.
+
+        Supports both native Anthropic tools (via __call__) and function tools (via execute).
+
+        Args:
+            name: Tool name.
+            params: Tool parameters.
+
+        Returns:
+            Tool execution result (ToolResult, CLIResult, or string).
+
+        Raises:
+            KeyError: If tool not found.
+        """
         tool = self._tools.get(name)
         if not tool:
-            return f"Error: Tool '{name}' not found. Available: {', '.join(self.tool_names)}"
+            return f"Error: Tool '{name}' not found"
 
         try:
-            errors = tool.validate_params(params)
+            # Duck typing - support both native and function tools
-            if errors:
+            if hasattr(tool, 'to_params'):
-                return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors) + _HINT
+                # Native Anthropic tool - call directly via __call__, no validation needed
-            result = await tool.execute(**params)
+                return await tool(**params)
-            if isinstance(result, str) and result.startswith("Error"):
+            else:
-                return result + _HINT
+                # Legacy function tool - validate then execute
-            return result
+                errors = tool.validate_params(params)
+                if errors:
+                    return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors)
+                return await tool.execute(**params)
         except Exception as e:
-            return f"Error executing {name}: {str(e)}" + _HINT
+            return f"Error executing {name}: {str(e)}"
     
+    def get_tools(self) -> list[Any]:
+        """Get list of tool objects (not definitions).
+
+        Returns tool objects which can be inspected for metadata like beta_flag.
+        """
+        return list(self._tools.values())
+
     @property
     def tool_names(self) -> list[str]:
         """Get list of registered tool names."""
         return list(self._tools.keys())
-    
+
     def __len__(self) -> int:
         return len(self._tools)
-    
+
     def __contains__(self, name: str) -> bool:
         return name in self._tools

nanobot/agent/tools/spawn.py

@@ -9,19 +9,24 @@ if TYPE_CHECKING:
 
 
 class SpawnTool(Tool):
-    """Tool to spawn a subagent for background task execution."""
+    """
+    Tool to spawn a subagent for background task execution.
+    
+    The subagent runs asynchronously and announces its result back
+    to the main agent when complete.
+    """
     
     def __init__(self, manager: "SubagentManager"):
         self._manager = manager
         self._origin_channel = "cli"
         self._origin_chat_id = "direct"
-        self._session_key = "cli:direct"
+        self._origin_metadata: dict[str, Any] = {}
-    
+
-    def set_context(self, channel: str, chat_id: str) -> None:
+    def set_context(self, channel: str, chat_id: str, metadata: dict[str, Any] | None = None) -> None:
         """Set the origin context for subagent announcements."""
         self._origin_channel = channel
         self._origin_chat_id = chat_id
-        self._session_key = f"{channel}:{chat_id}"
+        self._origin_metadata = metadata or {}
     
     @property
     def name(self) -> str:
@@ -48,16 +53,21 @@ class SpawnTool(Tool):
                     "type": "string",
                     "description": "Optional short label for the task (for display)",
                 },
+                "model": {
+                    "type": "string",
+                    "description": "Optional model override for the subagent (e.g. 'claude-haiku-4-5'). Defaults to the main agent's model.",
+                },
             },
             "required": ["task"],
         }
     
-    async def execute(self, task: str, label: str | None = None, **kwargs: Any) -> str:
+    async def execute(self, task: str, label: str | None = None, model: str | None = None, **kwargs: Any) -> str:
         """Spawn a subagent to execute the given task."""
         return await self._manager.spawn(
             task=task,
             label=label,
+            model=model,
             origin_channel=self._origin_channel,
             origin_chat_id=self._origin_chat_id,
-            session_key=self._session_key,
+            origin_metadata=self._origin_metadata,
         )

nanobot/agent/tools/subagent_message.py

@@ -0,0 +1,72 @@
+"""Message tool for subagents to communicate with the main agent."""
+
+from typing import Any, TYPE_CHECKING
+
+from nanobot.agent.tools.base import Tool
+from nanobot.bus.events import InboundMessage
+
+if TYPE_CHECKING:
+    from nanobot.bus.queue import MessageBus
+
+
+class SubagentMessageTool(Tool):
+    """
+    Tool for subagents to send messages to the main agent.
+
+    Messages are sent via the bus and preserve metadata (e.g. suppress_output)
+    from the originating message that spawned the subagent.
+    """
+
+    def __init__(
+        self,
+        bus: "MessageBus",
+        origin_channel: str,
+        origin_chat_id: str,
+        origin_metadata: dict[str, Any] | None = None,
+    ):
+        self._bus = bus
+        self._origin_channel = origin_channel
+        self._origin_chat_id = origin_chat_id
+        self._origin_metadata = origin_metadata or {}
+
+    @property
+    def name(self) -> str:
+        return "message"
+
+    @property
+    def description(self) -> str:
+        return (
+            "Send a message to the main agent. "
+            "Use this to communicate findings, request clarification, or provide updates. "
+            "The main agent will process your message and decide how to respond."
+        )
+
+    @property
+    def parameters(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "content": {
+                    "type": "string",
+                    "description": "The message content to send to the main agent"
+                },
+            },
+            "required": ["content"]
+        }
+
+    async def execute(self, content: str, **kwargs: Any) -> str:
+        """Send a message to the main agent via the bus."""
+        # Create InboundMessage to trigger main agent
+        msg = InboundMessage(
+            channel="system",
+            sender_id="subagent",
+            chat_id=f"{self._origin_channel}:{self._origin_chat_id}",
+            content=f"[Subagent message]\n\n{content}",
+            metadata=self._origin_metadata,
+        )
+
+        try:
+            await self._bus.publish_inbound(msg)
+            return "Message sent to main agent"
+        except Exception as e:
+            return f"Error sending message: {str(e)}"

nanobot/agent/tools/wait.py

@@ -0,0 +1,50 @@
+"""Wait-for-subagents tool for orchestrator subagents."""
+
+from typing import Any, TYPE_CHECKING
+
+from nanobot.agent.tools.base import Tool
+
+if TYPE_CHECKING:
+    from nanobot.agent.subagent import SubagentManager
+
+
+class WaitForSubagentsTool(Tool):
+    """
+    Tool to wait for child subagents to complete and collect their results.
+
+    Use this after spawning multiple subagents to wait for all of them
+    and get their results for synthesis.
+    """
+
+    def __init__(self, manager: "SubagentManager"):
+        self._manager = manager
+
+    @property
+    def name(self) -> str:
+        return "wait_for_subagents"
+
+    @property
+    def description(self) -> str:
+        return (
+            "Wait for one or more child subagents to complete and return their results. "
+            "Use this after spawning subagents to collect all results before synthesizing. "
+            "Blocks until all specified subagents finish."
+        )
+
+    @property
+    def parameters(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "task_ids": {
+                    "type": "array",
+                    "items": {"type": "string"},
+                    "description": "List of task IDs to wait for (from spawn tool responses)",
+                },
+            },
+            "required": ["task_ids"],
+        }
+
+    async def execute(self, task_ids: list[str], **kwargs: Any) -> str:
+        """Wait for the specified subagents and return their results."""
+        return await self._manager.wait_for(task_ids)

nanobot/agent/visibility.py

@@ -0,0 +1,83 @@
+# nanobot/agent/visibility.py
+"""Cryptographic signing for visibility markers to prevent model forgery."""
+
+import hmac
+import hashlib
+import re
+from typing import Tuple
+
+SECRET_KEY = "nanobot_visibility_secret_key_v1"
+
+
+def sign_content(content: str) -> str:
+    """
+    Sign content with HMAC and prepend marker.
+
+    Args:
+        content: The message content to sign
+
+    Returns:
+        Content with signed visibility marker: "[HIDDEN:{sig}] {content}"
+    """
+    sig = hmac.new(
+        SECRET_KEY.encode(),
+        content.encode(),
+        hashlib.sha256
+    ).hexdigest()[:8]
+    return f"[HIDDEN:{sig}] {content}"
+
+
+def verify_signature(marked_content: str) -> Tuple[bool, str]:
+    """
+    Verify HMAC signature and extract clean content.
+
+    Args:
+        marked_content: Content potentially with [HIDDEN:{sig}] marker
+
+    Returns:
+        Tuple of (is_valid, clean_content)
+        - is_valid: True if signature is valid, False otherwise
+        - clean_content: Content without marker
+    """
+    match = re.match(r'\[HIDDEN:([a-f0-9]{8})\] (.*)', marked_content, re.DOTALL)
+    if not match:
+        return False, marked_content
+
+    claimed_sig, content = match.groups()
+    expected_sig = hmac.new(
+        SECRET_KEY.encode(),
+        content.encode(),
+        hashlib.sha256
+    ).hexdigest()[:8]
+
+    is_valid = hmac.compare_digest(claimed_sig, expected_sig)
+    return is_valid, content
+
+
+def has_forged_marker(content: str) -> bool:
+    """
+    Check if content has an invalid [HIDDEN:*] marker at the start.
+
+    Args:
+        content: Content to check
+
+    Returns:
+        True if content starts with forged marker, False otherwise
+    """
+    if not content.startswith("[HIDDEN:"):
+        return False
+    is_valid, _ = verify_signature(content)
+    return not is_valid
+
+
+def strip_all_hidden_markers(content: str) -> str:
+    """
+    Remove all [HIDDEN:*] patterns from content (valid or invalid).
+
+    Args:
+        content: Content potentially with markers
+
+    Returns:
+        Content with all markers stripped
+    """
+    return re.sub(r'\[HIDDEN:[a-f0-9]{8}\]\s*', '', content)

nanobot/bus/queue.py

@@ -1,6 +1,9 @@
 """Async message queue for decoupled channel-agent communication."""
 
 import asyncio
+from typing import Callable, Awaitable
+
+from loguru import logger
 
 from nanobot.bus.events import InboundMessage, OutboundMessage
 
@@ -8,36 +11,92 @@ from nanobot.bus.events import InboundMessage, OutboundMessage
 class MessageBus:
     """
     Async message bus that decouples chat channels from the agent core.
-
+    
     Channels push messages to the inbound queue, and the agent processes
     them and pushes responses to the outbound queue.
     """
-
+    
     def __init__(self):
         self.inbound: asyncio.Queue[InboundMessage] = asyncio.Queue()
         self.outbound: asyncio.Queue[OutboundMessage] = asyncio.Queue()
-
+        self._outbound_subscribers: dict[str, list[Callable[[OutboundMessage], Awaitable[None]]]] = {}
+        self._correlation_store: dict[str, asyncio.Future] = {}
+        self._running = False
+    
     async def publish_inbound(self, msg: InboundMessage) -> None:
         """Publish a message from a channel to the agent."""
         await self.inbound.put(msg)
-
+    
     async def consume_inbound(self) -> InboundMessage:
         """Consume the next inbound message (blocks until available)."""
         return await self.inbound.get()
-
+    
     async def publish_outbound(self, msg: OutboundMessage) -> None:
         """Publish a response from the agent to channels."""
         await self.outbound.put(msg)
-
+    
     async def consume_outbound(self) -> OutboundMessage:
         """Consume the next outbound message (blocks until available)."""
         return await self.outbound.get()
 
+    def register_correlation(self, correlation_id: str) -> asyncio.Future:
+        """Register a Future to be resolved when a matching outbound message appears."""
+        loop = asyncio.get_running_loop()
+        future = loop.create_future()
+        self._correlation_store[correlation_id] = future
+        return future
+
+    def resolve_correlation(self, msg: OutboundMessage) -> None:
+        """Check if an outbound message has a correlation_id and resolve the matching Future."""
+        cid = msg.metadata.get("correlation_id") if msg.metadata else None
+        if cid and cid in self._correlation_store:
+            future = self._correlation_store.pop(cid)
+            if not future.done():
+                future.set_result(msg.content)
+
+    def cancel_correlation(self, correlation_id: str) -> None:
+        """Cancel and remove a pending correlation."""
+        future = self._correlation_store.pop(correlation_id, None)
+        if future and not future.done():
+            future.cancel()
+
+    def subscribe_outbound(
+        self, 
+        channel: str, 
+        callback: Callable[[OutboundMessage], Awaitable[None]]
+    ) -> None:
+        """Subscribe to outbound messages for a specific channel."""
+        if channel not in self._outbound_subscribers:
+            self._outbound_subscribers[channel] = []
+        self._outbound_subscribers[channel].append(callback)
+    
+    async def dispatch_outbound(self) -> None:
+        """
+        Dispatch outbound messages to subscribed channels.
+        Run this as a background task.
+        """
+        self._running = True
+        while self._running:
+            try:
+                msg = await asyncio.wait_for(self.outbound.get(), timeout=1.0)
+                subscribers = self._outbound_subscribers.get(msg.channel, [])
+                for callback in subscribers:
+                    try:
+                        await callback(msg)
+                    except Exception as e:
+                        logger.error(f"Error dispatching to {msg.channel}: {e}")
+            except asyncio.TimeoutError:
+                continue
+    
+    def stop(self) -> None:
+        """Stop the dispatcher loop."""
+        self._running = False
+    
     @property
     def inbound_size(self) -> int:
         """Number of pending inbound messages."""
         return self.inbound.qsize()
-
+    
     @property
     def outbound_size(self) -> int:
         """Number of pending outbound messages."""

nanobot/channels/base.py

@@ -69,11 +69,15 @@ class BaseChannel(ABC):
             True if allowed, False otherwise.
         """
         allow_list = getattr(self.config, "allow_from", [])
-        
+
         # If no allow list, allow everyone
         if not allow_list:
             return True
-        
+
+        # Wildcard allows everyone
+        if "*" in allow_list:
+            return True
+
         sender_str = str(sender_id)
         if sender_str in allow_list:
             return True

nanobot/channels/hook.py

@@ -0,0 +1,38 @@
+"""Hook channel — receives outbound messages from hook-initiated conversations."""
+
+from loguru import logger
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+
+
+class HookChannel:
+    """
+    Minimal channel for hook-initiated conversations.
+
+    The hook HTTP server publishes InboundMessages to the bus.
+    Responses come back as OutboundMessages routed here.
+    send() is a no-op because the HTTP caller gets the response
+    via bus correlation, not channel delivery.
+    """
+
+    name = "hook"
+
+    def __init__(self, bus: MessageBus):
+        self.bus = bus
+        self._running = False
+
+    async def start(self) -> None:
+        self._running = True
+        logger.info("Hook channel started")
+
+    async def stop(self) -> None:
+        self._running = False
+
+    async def send(self, msg: OutboundMessage) -> None:
+        """No-op — response is returned via bus correlation to the HTTP caller."""
+        logger.debug(f"Hook channel received outbound for {msg.chat_id} (no-op)")
+
+    @property
+    def is_running(self) -> bool:
+        return self._running

nanobot/channels/manager.py

@@ -149,6 +149,11 @@ class ChannelManager:
             except ImportError as e:
                 logger.warning("Matrix channel not available: {}", e)
     
+    def register_channel(self, name: str, channel: BaseChannel) -> None:
+        """Register an external channel."""
+        self.channels[name] = channel
+        logger.info(f"{name} channel registered")
+
     async def _start_channel(self, name: str, channel: BaseChannel) -> None:
         """Start a channel and log any exceptions."""
         try:
@@ -204,13 +209,16 @@ class ChannelManager:
                     self.bus.consume_outbound(),
                     timeout=1.0
                 )
-                
+
                 if msg.metadata.get("_progress"):
                     if msg.metadata.get("_tool_hint") and not self.config.channels.send_tool_hints:
                         continue
                     if not msg.metadata.get("_tool_hint") and not self.config.channels.send_progress:
                         continue
-                
+
+                # Resolve any pending correlation (hook request-response)
+                self.bus.resolve_correlation(msg)
+
                 channel = self.channels.get(msg.channel)
                 if channel:
                     try:

nanobot/channels/telegram.py

@@ -4,8 +4,10 @@ from __future__ import annotations
 
 import asyncio
 import re
+from pathlib import Path
+
 from loguru import logger
-from telegram import BotCommand, Update, ReplyParameters
+from telegram import BotCommand, Update
 from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
 from telegram.request import HTTPXRequest
 
@@ -78,26 +80,6 @@ def _markdown_to_telegram_html(text: str) -> str:
     return text
 
 
-def _split_message(content: str, max_len: int = 4000) -> list[str]:
-    """Split content into chunks within max_len, preferring line breaks."""
-    if len(content) <= max_len:
-        return [content]
-    chunks: list[str] = []
-    while content:
-        if len(content) <= max_len:
-            chunks.append(content)
-            break
-        cut = content[:max_len]
-        pos = cut.rfind('\n')
-        if pos == -1:
-            pos = cut.rfind(' ')
-        if pos == -1:
-            pos = max_len
-        chunks.append(content[:pos])
-        content = content[pos:].lstrip()
-    return chunks
-
-
 class TelegramChannel(BaseChannel):
     """
     Telegram channel using long polling.
@@ -111,8 +93,8 @@ class TelegramChannel(BaseChannel):
     BOT_COMMANDS = [
         BotCommand("start", "Start the bot"),
         BotCommand("new", "Start a new conversation"),
-        BotCommand("stop", "Stop the current task"),
         BotCommand("help", "Show available commands"),
+        BotCommand("quota", "Show current quota status"),
     ]
     
     def __init__(
@@ -127,8 +109,6 @@ class TelegramChannel(BaseChannel):
         self._app: Application | None = None
         self._chat_ids: dict[str, int] = {}  # Map sender_id to chat_id for replies
         self._typing_tasks: dict[str, asyncio.Task] = {}  # chat_id -> typing loop task
-        self._media_group_buffers: dict[str, dict] = {}
-        self._media_group_tasks: dict[str, asyncio.Task] = {}
     
     async def start(self) -> None:
         """Start the Telegram bot with long polling."""
@@ -149,7 +129,8 @@ class TelegramChannel(BaseChannel):
         # Add command handlers
         self._app.add_handler(CommandHandler("start", self._on_start))
         self._app.add_handler(CommandHandler("new", self._forward_command))
-        self._app.add_handler(CommandHandler("help", self._on_help))
+        self._app.add_handler(CommandHandler("help", self._forward_command))
+        self._app.add_handler(CommandHandler("quota", self._forward_command))
         
         # Add message handler for text, photos, voice, documents
         self._app.add_handler(
@@ -168,13 +149,13 @@ class TelegramChannel(BaseChannel):
         
         # Get bot info and register command menu
         bot_info = await self._app.bot.get_me()
-        logger.info("Telegram bot @{} connected", bot_info.username)
+        logger.info(f"Telegram bot @{bot_info.username} connected")
         
         try:
             await self._app.bot.set_my_commands(self.BOT_COMMANDS)
             logger.debug("Telegram bot commands registered")
         except Exception as e:
-            logger.warning("Failed to register bot commands: {}", e)
+            logger.warning(f"Failed to register bot commands: {e}")
         
         # Start polling (this runs until stopped)
         await self._app.updater.start_polling(
@@ -193,11 +174,6 @@ class TelegramChannel(BaseChannel):
         # Cancel all typing indicators
         for chat_id in list(self._typing_tasks):
             self._stop_typing(chat_id)
-
-        for task in self._media_group_tasks.values():
-            task.cancel()
-        self._media_group_tasks.clear()
-        self._media_group_buffers.clear()
         
         if self._app:
             logger.info("Stopping Telegram bot...")
@@ -206,123 +182,264 @@ class TelegramChannel(BaseChannel):
             await self._app.shutdown()
             self._app = None
     
-    @staticmethod
-    def _get_media_type(path: str) -> str:
-        """Guess media type from file extension."""
-        ext = path.rsplit(".", 1)[-1].lower() if "." in path else ""
-        if ext in ("jpg", "jpeg", "png", "gif", "webp"):
-            return "photo"
-        if ext == "ogg":
-            return "voice"
-        if ext in ("mp3", "m4a", "wav", "aac"):
-            return "audio"
-        return "document"
-
     async def send(self, msg: OutboundMessage) -> None:
         """Send a message through Telegram."""
         if not self._app:
             logger.warning("Telegram bot not running")
             return
 
+        # Stop typing indicator for this chat
         self._stop_typing(msg.chat_id)
 
+        # Check for suppression
+        if msg.metadata.get("suppressed", False):
+            logger.debug(f"Suppressed output (not sent to Telegram): {msg.content[:100]}...")
+            return  # Don't send to Telegram API
+        
         try:
+            # chat_id should be the Telegram chat ID (integer)
             chat_id = int(msg.chat_id)
+            # Convert markdown to Telegram HTML
+            html_content = _markdown_to_telegram_html(msg.content)
+
+            # Check if message has media attachments
+            if msg.media:
+                await self._send_with_media(chat_id, html_content, msg.media)
+            else:
+                # Text-only message - split if too long
+                await self._send_text_chunks(chat_id, html_content, parse_mode="HTML")
         except ValueError:
-            logger.error("Invalid chat_id: {}", msg.chat_id)
+            logger.error(f"Invalid chat_id: {msg.chat_id}")
+        except Exception as e:
+            # Fallback to plain text if HTML parsing fails
+            logger.warning(f"HTML parse failed, falling back to plain text: {e}")
+            try:
+                await self._send_text_chunks(int(msg.chat_id), msg.content, parse_mode=None)
+            except Exception as e2:
+                logger.error(f"Error sending Telegram message: {e2}")
+
+    @staticmethod
+    def _split_message(content: str, max_len: int = 4000) -> list[str]:
+        """Split content into chunks within max_len, preferring line breaks.
+
+        From upstream HKUDS/nanobot - battle-tested implementation.
+        Uses 4000 char limit (safer than 4096) with split priority: \n → space → hard cut.
+        """
+        if len(content) <= max_len:
+            return [content]
+        chunks: list[str] = []
+        while content:
+            if len(content) <= max_len:
+                chunks.append(content)
+                break
+            cut = content[:max_len]
+            pos = cut.rfind('\n')
+            if pos == -1:
+                pos = cut.rfind(' ')
+            if pos == -1:
+                pos = max_len
+            chunks.append(content[:pos])
+            content = content[pos:].lstrip()
+        return chunks
+
+    async def _send_text_chunks(
+        self,
+        chat_id: int,
+        text: str,
+        parse_mode: str | None = "HTML"
+    ) -> None:
+        """Split and send long messages.
+
+        Telegram has a 4096 character limit per message.
+        Uses upstream's proven implementation - splits at line breaks, then spaces.
+        """
+        chunks = self._split_message(text)
+
+        for chunk in chunks:
+            await self._app.bot.send_message(
+                chat_id=chat_id,
+                text=chunk.strip(),
+                parse_mode=parse_mode
+            )
+
+    async def _send_with_media(self, chat_id: int, caption: str, media_paths: list[str]) -> None:
+        """
+        Send message with media attachments.
+
+        Args:
+            chat_id: Telegram chat ID
+            caption: Message caption
+            media_paths: List of file paths or URLs
+        """
+        from telegram import InputMediaPhoto, InputMediaVideo
+
+        from nanobot.channels.telegram_media import (
+            MediaKind,
+            classify_media,
+            detect_mime,
+            fetch_media,
+            group_media_for_album,
+            optimize_image,
+        )
+
+        # Process each media item
+        processed_media: list[tuple[str, MediaKind, bytes, str]] = []
+
+        for path in media_paths:
+            try:
+                # Fetch remote URLs
+                if path.startswith(("http://", "https://")):
+                    content, mime = await fetch_media(path, max_bytes=100_000_000)
+                    kind = classify_media(mime)
+                    # Extract filename from URL
+                    filename = Path(path).name
+                else:
+                    # Local file
+                    file_path = Path(path)
+                    if not file_path.exists():
+                        logger.warning(f"Media file not found: {path}")
+                        continue
+
+                    with open(file_path, "rb") as f:
+                        content = f.read()
+
+                    mime = detect_mime(path, content)
+                    kind = classify_media(mime)
+                    # Extract filename from local path
+                    filename = file_path.name
+
+                    # Optimize images
+                    if kind == MediaKind.IMAGE:
+                        try:
+                            content = optimize_image(path, max_bytes=6_000_000)
+                        except Exception as e:
+                            logger.warning(f"Image optimization failed: {e}, sending original")
+
+                processed_media.append((path, kind, content, filename))
+
+            except Exception as e:
+                logger.error(f"Failed to process media {path}: {e}")
+                continue
+
+        if not processed_media:
+            # No media could be processed, send text only
+            await self._app.bot.send_message(
+                chat_id=chat_id,
+                text=caption,
+                parse_mode="HTML"
+            )
             return
 
-        reply_params = None
+        # Group media for album sending
-        if self.config.reply_to_message:
+        media_items = [(path, kind) for path, kind, _, _ in processed_media]
-            reply_to_message_id = msg.metadata.get("message_id")
+        grouping = group_media_for_album(media_items)
-            if reply_to_message_id:
-                reply_params = ReplyParameters(
-                    message_id=reply_to_message_id,
-                    allow_sending_without_reply=True
-                )
 
-        # Send media files
+        # Handle caption length (Telegram limit: 1024 chars)
-        for media_path in (msg.media or []):
+        if len(caption) > 1024:
-            try:
+            # Send media without caption, then follow-up text
-                media_type = self._get_media_type(media_path)
+            media_caption = None
-                sender = {
+            followup_text = caption
-                    "photo": self._app.bot.send_photo,
+        else:
-                    "voice": self._app.bot.send_voice,
+            media_caption = caption
-                    "audio": self._app.bot.send_audio,
+            followup_text = None
-                }.get(media_type, self._app.bot.send_document)
+
-                param = "photo" if media_type == "photo" else media_type if media_type in ("voice", "audio") else "document"
+        # Send album if grouped
-                with open(media_path, 'rb') as f:
+        if grouping["album"]:
-                    await sender(
+            album_paths = grouping["album"]
-                        chat_id=chat_id, 
+            album_media = []
-                        **{param: f},
+
-                        reply_parameters=reply_params
+            for path, kind, content, filename in processed_media:
+                if path not in album_paths:
+                    continue
+
+                if kind == MediaKind.IMAGE:
+                    media_obj = InputMediaPhoto(
+                        media=content,
+                        caption=media_caption if len(album_media) == 0 else None,
+                        parse_mode="HTML" if media_caption else None
                     )
-            except Exception as e:
+                elif kind == MediaKind.VIDEO:
-                filename = media_path.rsplit("/", 1)[-1]
+                    media_obj = InputMediaVideo(
-                logger.error("Failed to send media {}: {}", media_path, e)
+                        media=content,
-                await self._app.bot.send_message(
+                        caption=media_caption if len(album_media) == 0 else None,
+                        parse_mode="HTML" if media_caption else None
+                    )
+                else:
+                    continue  # Skip non-album types
+
+                album_media.append(media_obj)
+
+            if album_media:
+                await self._app.bot.send_media_group(
                     chat_id=chat_id,
-                    text=f"[Failed to send: {filename}]",
+                    media=album_media
-                    reply_parameters=reply_params
                 )
 
-        # Send text content
+        # Send separate media
-        if msg.content and msg.content != "[empty message]":
+        for i, (path, kind, content, filename) in enumerate(processed_media):
-            for chunk in _split_message(msg.content):
+            if path in grouping["album"]:
-                try:
+                continue  # Already sent in album
-                    html = _markdown_to_telegram_html(chunk)
+
-                    await self._app.bot.send_message(
+            # Only first separate item gets caption
-                        chat_id=chat_id, 
+            item_caption = media_caption if i == 0 else None
-                        text=html, 
+
-                        parse_mode="HTML",
+            if kind == MediaKind.IMAGE:
-                        reply_parameters=reply_params
+                await self._app.bot.send_photo(
-                    )
+                    chat_id=chat_id,
-                except Exception as e:
+                    photo=content,
-                    logger.warning("HTML parse failed, falling back to plain text: {}", e)
+                    caption=item_caption,
-                    try:
+                    parse_mode="HTML" if item_caption else None
-                        await self._app.bot.send_message(
+                )
-                            chat_id=chat_id, 
+            elif kind == MediaKind.VIDEO:
-                            text=chunk,
+                await self._app.bot.send_video(
-                            reply_parameters=reply_params
+                    chat_id=chat_id,
-                        )
+                    video=content,
-                    except Exception as e2:
+                    caption=item_caption,
-                        logger.error("Error sending Telegram message: {}", e2)
+                    parse_mode="HTML" if item_caption else None
-    
+                )
+            elif kind == MediaKind.AUDIO:
+                await self._app.bot.send_audio(
+                    chat_id=chat_id,
+                    audio=content,
+                    caption=item_caption,
+                    parse_mode="HTML" if item_caption else None,
+                    filename=filename
+                )
+            elif kind == MediaKind.DOCUMENT:
+                await self._app.bot.send_document(
+                    chat_id=chat_id,
+                    document=content,
+                    caption=item_caption,
+                    parse_mode="HTML" if item_caption else None,
+                    filename=filename
+                )
+
+        # Send follow-up text if caption was too long
+        if followup_text:
+            await self._app.bot.send_message(
+                chat_id=chat_id,
+                text=followup_text,
+                parse_mode="HTML"
+            )
+
     async def _on_start(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
         """Handle /start command."""
         if not update.message or not update.effective_user:
             return
-
+        
         user = update.effective_user
         await update.message.reply_text(
             f"👋 Hi {user.first_name}! I'm nanobot.\n\n"
             "Send me a message and I'll respond!\n"
             "Type /help to see available commands."
         )
-
+    
-    async def _on_help(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
-        """Handle /help command, bypassing ACL so all users can access it."""
-        if not update.message:
-            return
-        await update.message.reply_text(
-            "🐈 nanobot commands:\n"
-            "/new — Start a new conversation\n"
-            "/stop — Stop the current task\n"
-            "/help — Show available commands"
-        )
-
-    @staticmethod
-    def _sender_id(user) -> str:
-        """Build sender_id with username for allowlist matching."""
-        sid = str(user.id)
-        return f"{sid}|{user.username}" if user.username else sid
-
     async def _forward_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
         """Forward slash commands to the bus for unified handling in AgentLoop."""
         if not update.message or not update.effective_user:
             return
         await self._handle_message(
-            sender_id=self._sender_id(update.effective_user),
+            sender_id=str(update.effective_user.id),
             chat_id=str(update.message.chat_id),
             content=update.message.text,
         )
@@ -335,7 +452,11 @@ class TelegramChannel(BaseChannel):
         message = update.message
         user = update.effective_user
         chat_id = message.chat_id
-        sender_id = self._sender_id(user)
+        
+        # Use stable numeric ID, but keep username for allowlist compatibility
+        sender_id = str(user.id)
+        if user.username:
+            sender_id = f"{sender_id}|{user.username}"
         
         # Store chat_id for replies
         self._chat_ids[sender_id] = chat_id
@@ -389,45 +510,23 @@ class TelegramChannel(BaseChannel):
                     transcriber = GroqTranscriptionProvider(api_key=self.groq_api_key)
                     transcription = await transcriber.transcribe(file_path)
                     if transcription:
-                        logger.info("Transcribed {}: {}...", media_type, transcription[:50])
+                        logger.info(f"Transcribed {media_type}: {transcription[:50]}...")
                         content_parts.append(f"[transcription: {transcription}]")
                     else:
                         content_parts.append(f"[{media_type}: {file_path}]")
                 else:
                     content_parts.append(f"[{media_type}: {file_path}]")
                     
-                logger.debug("Downloaded {} to {}", media_type, file_path)
+                logger.debug(f"Downloaded {media_type} to {file_path}")
             except Exception as e:
-                logger.error("Failed to download media: {}", e)
+                logger.error(f"Failed to download media: {e}")
                 content_parts.append(f"[{media_type}: download failed]")
         
         content = "\n".join(content_parts) if content_parts else "[empty message]"
         
-        logger.debug("Telegram message from {}: {}...", sender_id, content[:50])
+        logger.debug(f"Telegram message from {sender_id}: {content[:50]}...")
         
         str_chat_id = str(chat_id)
-
-        # Telegram media groups: buffer briefly, forward as one aggregated turn.
-        if media_group_id := getattr(message, "media_group_id", None):
-            key = f"{str_chat_id}:{media_group_id}"
-            if key not in self._media_group_buffers:
-                self._media_group_buffers[key] = {
-                    "sender_id": sender_id, "chat_id": str_chat_id,
-                    "contents": [], "media": [],
-                    "metadata": {
-                        "message_id": message.message_id, "user_id": user.id,
-                        "username": user.username, "first_name": user.first_name,
-                        "is_group": message.chat.type != "private",
-                    },
-                }
-                self._start_typing(str_chat_id)
-            buf = self._media_group_buffers[key]
-            if content and content != "[empty message]":
-                buf["contents"].append(content)
-            buf["media"].extend(media_paths)
-            if key not in self._media_group_tasks:
-                self._media_group_tasks[key] = asyncio.create_task(self._flush_media_group(key))
-            return
         
         # Start typing indicator before processing
         self._start_typing(str_chat_id)
@@ -447,21 +546,6 @@ class TelegramChannel(BaseChannel):
             }
         )
     
-    async def _flush_media_group(self, key: str) -> None:
-        """Wait briefly, then forward buffered media-group as one turn."""
-        try:
-            await asyncio.sleep(0.6)
-            if not (buf := self._media_group_buffers.pop(key, None)):
-                return
-            content = "\n".join(buf["contents"]) or "[empty message]"
-            await self._handle_message(
-                sender_id=buf["sender_id"], chat_id=buf["chat_id"],
-                content=content, media=list(dict.fromkeys(buf["media"])),
-                metadata=buf["metadata"],
-            )
-        finally:
-            self._media_group_tasks.pop(key, None)
-
     def _start_typing(self, chat_id: str) -> None:
         """Start sending 'typing...' indicator for a chat."""
         # Cancel any existing typing task for this chat
@@ -483,11 +567,11 @@ class TelegramChannel(BaseChannel):
         except asyncio.CancelledError:
             pass
         except Exception as e:
-            logger.debug("Typing indicator stopped for {}: {}", chat_id, e)
+            logger.debug(f"Typing indicator stopped for {chat_id}: {e}")
     
     async def _on_error(self, update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
         """Log polling / handler errors instead of silently swallowing them."""
-        logger.error("Telegram error: {}", context.error)
+        logger.error(f"Telegram error: {context.error}")
 
     def _get_extension(self, media_type: str, mime_type: str | None) -> str:
         """Get file extension based on media type."""

nanobot/channels/telegram_media.py

@@ -0,0 +1,286 @@
+"""Media handling utilities for Telegram channel."""
+
+from __future__ import annotations
+
+import io
+import mimetypes
+from enum import Enum
+from pathlib import Path
+
+import httpx
+from loguru import logger
+from PIL import Image
+
+# Telegram API photo size limit (6MB)
+TELEGRAM_PHOTO_SIZE_LIMIT = 6_000_000
+
+try:
+    import magic
+    HAS_MAGIC = True
+except ImportError:
+    HAS_MAGIC = False
+
+try:
+    from pillow_heif import register_heif_opener
+    register_heif_opener()
+    HAS_HEIF = True
+except ImportError:
+    HAS_HEIF = False
+
+
+class MediaKind(Enum):
+    """Media type classification."""
+    IMAGE = "image"
+    VIDEO = "video"
+    AUDIO = "audio"
+    DOCUMENT = "document"
+
+
+def detect_mime(path: str, content: bytes | None = None) -> str:
+    """
+    Detect MIME type of media file.
+
+    Priority:
+    1. python-magic sniff (if available and content provided)
+    2. Extension-based lookup
+    3. Fallback to application/octet-stream
+
+    Args:
+        path: File path (used for extension detection)
+        content: Optional file content bytes for magic sniffing
+
+    Returns:
+        MIME type string (e.g., "image/jpeg")
+    """
+    # Try magic detection first if we have content
+    if HAS_MAGIC and content:
+        try:
+            mime = magic.from_buffer(content, mime=True)
+            # Avoid generic types if we can be more specific from extension
+            if mime and mime != "application/octet-stream":
+                return mime
+        except Exception as e:
+            logger.debug(f"Magic detection failed, falling back to extension: {e}")
+
+    # Extension-based detection
+    mime_type, _ = mimetypes.guess_type(path)
+    if mime_type:
+        return mime_type
+
+    # Fallback
+    return "application/octet-stream"
+
+
+def classify_media(mime: str) -> MediaKind:
+    """
+    Classify MIME type into media kind.
+
+    Args:
+        mime: MIME type string (e.g., "image/jpeg")
+
+    Returns:
+        MediaKind enum value
+    """
+    if mime.startswith("image/"):
+        return MediaKind.IMAGE
+    if mime.startswith("video/"):
+        return MediaKind.VIDEO
+    if mime.startswith("audio/"):
+        return MediaKind.AUDIO
+    # Everything else is a document
+    return MediaKind.DOCUMENT
+
+
+def is_heic_format(path: str) -> bool:
+    """
+    Check if file is HEIC/HEIF format.
+
+    Args:
+        path: File path
+
+    Returns:
+        True if file extension is .heic or .heif
+    """
+    ext = Path(path).suffix.lower()
+    return ext in (".heic", ".heif")
+
+
+async def fetch_media(url: str, max_bytes: int) -> tuple[bytes, str]:
+    """
+    Download media from remote URL.
+
+    Args:
+        url: Remote URL to fetch
+        max_bytes: Maximum size to download
+
+    Returns:
+        Tuple of (content bytes, detected MIME type)
+
+    Raises:
+        ValueError: If download fails or exceeds size limit
+    """
+    try:
+        async with httpx.AsyncClient(timeout=10.0) as client:
+            response = await client.get(url, follow_redirects=True)
+            response.raise_for_status()
+
+            content = response.content
+
+            if len(content) > max_bytes:
+                raise ValueError(f"Media exceeds size limit: {len(content)} > {max_bytes}")
+
+            # Get MIME type from response or detect
+            mime = response.headers.get("content-type", "application/octet-stream")
+            # Strip charset if present (e.g., "image/jpeg; charset=utf-8" → "image/jpeg")
+            mime = mime.split(";")[0].strip()
+
+            # Detect from content if generic type
+            if mime == "application/octet-stream":
+                mime = detect_mime(url, content)
+
+            return content, mime
+
+    except httpx.TimeoutException as e:
+        raise ValueError(f"Download timeout: {url}") from e
+    except httpx.HTTPError as e:
+        raise ValueError(f"Download failed: {url}: {e}") from e
+
+
+def optimize_image(path: str, max_bytes: int = TELEGRAM_PHOTO_SIZE_LIMIT) -> bytes:
+    """
+    Optimize image to fit under size limit.
+
+    Strategy:
+    1. Convert HEIC to JPEG if needed
+    2. PNG with alpha → preserve with compression levels [6,7,8,9]
+    3. JPEG/PNG without alpha → resize + quality grid
+
+    Sizes: [2048, 1536, 1280, 1024, 800] px (max dimension)
+    Qualities: [80, 70, 60, 50, 40] (JPEG only)
+
+    Args:
+        path: Path to image file
+        max_bytes: Maximum size in bytes (default 6MB for Telegram)
+
+    Returns:
+        Optimized image bytes
+
+    Raises:
+        ValueError: If image cannot be optimized under limit
+    """
+    # Load image with context manager to ensure file handle is closed
+    with Image.open(path) as img:
+        # Convert HEIC to JPEG
+        if is_heic_format(path):
+            if not HAS_HEIF:
+                raise ValueError("pillow-heif not available for HEIC conversion")
+            # Convert to RGB (HEIC → JPEG)
+            if img.mode != "RGB":
+                img = img.convert("RGB")
+            return _optimize_jpeg(img, max_bytes)
+
+        # PNG with alpha channel - preserve it
+        if img.mode == "RGBA" or img.mode == "LA":
+            return _optimize_png(img, max_bytes)
+
+        # Everything else → convert to JPEG and optimize
+        if img.mode != "RGB":
+            img = img.convert("RGB")
+        return _optimize_jpeg(img, max_bytes)
+
+
+def _optimize_jpeg(img: Image.Image, max_bytes: int) -> bytes:
+    """Optimize JPEG with size/quality grid."""
+    sizes = [2048, 1536, 1280, 1024, 800]
+    qualities = [80, 70, 60, 50, 40]
+
+    for size in sizes:
+        # Always copy to avoid mutation issues
+        resized = img.copy()
+        if max(img.size) > size:
+            resized.thumbnail((size, size), Image.Resampling.LANCZOS)
+
+        for quality in qualities:
+            buf = io.BytesIO()
+            resized.save(buf, format="JPEG", quality=quality, optimize=True)
+            data = buf.getvalue()
+
+            if len(data) <= max_bytes:
+                return data
+
+    # If we get here, even smallest size/quality is too large
+    raise ValueError(f"Cannot optimize image under {max_bytes} bytes")
+
+
+def _optimize_png(img: Image.Image, max_bytes: int) -> bytes:
+    """Optimize PNG while preserving alpha channel."""
+    compress_levels = [6, 7, 8, 9]
+    sizes = [2048, 1536, 1280, 1024, 800]
+
+    for size in sizes:
+        # Always copy to avoid mutation issues
+        resized = img.copy()
+        if max(img.size) > size:
+            resized.thumbnail((size, size), Image.Resampling.LANCZOS)
+
+        for compress_level in compress_levels:
+            buf = io.BytesIO()
+            resized.save(buf, format="PNG", compress_level=compress_level, optimize=True)
+            data = buf.getvalue()
+
+            if len(data) <= max_bytes:
+                return data
+
+    # Fallback: try converting to JPEG if still too large
+    if img.mode in ("RGBA", "LA"):
+        # Create white background
+        background = Image.new("RGB", img.size, (255, 255, 255))
+        if img.mode == "RGBA":
+            background.paste(img, mask=img.split()[3])  # Use alpha as mask
+        else:  # LA (grayscale + alpha)
+            background.paste(img.convert("L"), mask=img.split()[1])
+        return _optimize_jpeg(background, max_bytes)
+
+    raise ValueError(f"Cannot optimize PNG under {max_bytes} bytes")
+
+
+def group_media_for_album(media_items: list[tuple[str, MediaKind]]) -> dict[str, list[str]]:
+    """
+    Group media items for album sending.
+
+    Logic:
+    - All images (2+) → album
+    - All videos (2+) → album
+    - Mixed types → separate
+    - Single item → separate
+
+    Args:
+        media_items: List of (path, MediaKind) tuples
+
+    Returns:
+        Dict with 'album' and 'separate' keys containing lists of paths
+    """
+    if len(media_items) <= 1:
+        return {
+            "album": [],
+            "separate": [path for path, _ in media_items]
+        }
+
+    # Count each kind
+    kinds = [kind for _, kind in media_items]
+    unique_kinds = set(kinds)
+
+    # All same type → album (if images or videos)
+    if len(unique_kinds) == 1:
+        kind = kinds[0]
+        if kind in (MediaKind.IMAGE, MediaKind.VIDEO):
+            return {
+                "album": [path for path, _ in media_items],
+                "separate": []
+            }
+
+    # Mixed types or non-album-able types → separate
+    return {
+        "album": [],
+        "separate": [path for path, _ in media_items]
+    }

nanobot/cli/commands.py

@@ -200,40 +200,23 @@ def onboard():
 
 
 def _make_provider(config: Config):
-    """Create the appropriate LLM provider from config."""
+    """Create LLM provider from config. Uses OAuth for subscription tokens."""
-    from nanobot.providers.litellm_provider import LiteLLMProvider
+    from nanobot.providers import create_provider
-    from nanobot.providers.openai_codex_provider import OpenAICodexProvider
-    from nanobot.providers.custom_provider import CustomProvider
 
+    p = config.get_provider()
     model = config.agents.defaults.model
-    provider_name = config.get_provider_name(model)
+    if not (p and p.api_key) and not model.startswith("bedrock/"):
-    p = config.get_provider(model)
-
-    # OpenAI Codex (OAuth)
-    if provider_name == "openai_codex" or model.startswith("openai-codex/"):
-        return OpenAICodexProvider(default_model=model)
-
-    # Custom: direct OpenAI-compatible endpoint, bypasses LiteLLM
-    if provider_name == "custom":
-        return CustomProvider(
-            api_key=p.api_key if p else "no-key",
-            api_base=config.get_api_base(model) or "http://localhost:8000/v1",
-            default_model=model,
-        )
-
-    from nanobot.providers.registry import find_by_name
-    spec = find_by_name(provider_name)
-    if not model.startswith("bedrock/") and not (p and p.api_key) and not (spec and spec.is_oauth):
         console.print("[red]Error: No API key configured.[/red]")
         console.print("Set one in ~/.nanobot/config.json under providers section")
         raise typer.Exit(1)
 
-    return LiteLLMProvider(
+    return create_provider(
-        api_key=p.api_key if p else None,
+        api_key=p.api_key if p else "",
-        api_base=config.get_api_base(model),
+        model=model,
-        default_model=model,
+        api_base=config.get_api_base(),
         extra_headers=p.extra_headers if p else None,
-        provider_name=provider_name,
+        provider_name=config.get_provider_name(),
+        thinking_budget=config.agents.defaults.thinking_budget,
     )
 
 
@@ -287,6 +270,7 @@ def gateway(
         exec_config=config.tools.exec,
         cron_service=cron,
         restrict_to_workspace=config.tools.restrict_to_workspace,
+        enable_memory_tool=config.tools.enable_memory_tool,
         session_manager=session_manager,
         mcp_servers=config.tools.mcp_servers,
         channels_config=config.channels,
@@ -445,6 +429,7 @@ def agent(
         exec_config=config.tools.exec,
         cron_service=cron,
         restrict_to_workspace=config.tools.restrict_to_workspace,
+        enable_memory_tool=config.tools.enable_memory_tool,
         mcp_servers=config.tools.mcp_servers,
         channels_config=config.channels,
     )
@@ -935,6 +920,7 @@ def cron_run(
         brave_api_key=config.tools.web.search.api_key or None,
         exec_config=config.tools.exec,
         restrict_to_workspace=config.tools.restrict_to_workspace,
+        enable_memory_tool=config.tools.enable_memory_tool,
         mcp_servers=config.tools.mcp_servers,
         channels_config=config.channels,
     )

nanobot/cli/oauth.py

@@ -0,0 +1,93 @@
+"""OAuth CLI commands for subscription authentication."""
+
+from pathlib import Path
+from typing import Optional
+
+import typer
+from rich.console import Console
+
+oauth_app = typer.Typer(help="Manage OAuth authentication for subscription-based providers")
+console = Console()
+
+
+@oauth_app.command("login")
+def login(
+    provider: str = typer.Argument("anthropic", help="Provider name"),
+    token: Optional[str] = typer.Option(None, "--token", "-t", help="OAuth token (from claude setup-token)"),
+):
+    """Login to a provider using OAuth.
+
+    For Anthropic Claude Max/Pro, run 'claude setup-token' and paste the token here.
+
+    Example:
+        nanobot oauth login anthropic --token sk-ant-oat01-xxx
+    """
+    from nanobot.config.oauth_store import OAuthStore
+    from nanobot.config.schema import OAuthCredentials
+
+    if provider != "anthropic":
+        console.print(f"[red]OAuth login for {provider} not yet supported[/red]")
+        return
+
+    if not token:
+        console.print("Please provide your OAuth token:")
+        console.print("  1. Run: claude setup-token")
+        console.print("  2. Copy the sk-ant-oat01-... token")
+        console.print("  3. Run: nanobot oauth login anthropic --token <your-token>")
+        console.print()
+        token = typer.prompt("Token", hide_input=True)
+
+    if not token or "sk-ant-oat" not in token:
+        console.print("[red]Invalid token. Must contain sk-ant-oat[/red]")
+        return
+
+    store = OAuthStore(Path.home() / ".nanobot")
+    creds = OAuthCredentials(
+        access_token=token,
+        token_type="token"  # setup-token doesn't expire
+    )
+    store.save(provider, creds)
+
+    console.print(f"[green]Successfully saved {provider} OAuth credentials![/green]")
+
+
+@oauth_app.command("status")
+def status():
+    """Show OAuth credential status."""
+    from nanobot.config.oauth_store import OAuthStore
+
+    store = OAuthStore(Path.home() / ".nanobot")
+
+    providers = ["anthropic"]
+    found_any = False
+
+    for provider in providers:
+        creds = store.load(provider)
+        if creds:
+            found_any = True
+            st = "valid"
+            if creds.is_expired:
+                st = "EXPIRED"
+            elif creds.expires_soon:
+                st = "expires soon"
+
+            token_preview = creds.access_token[:20] + "..."
+            console.print(f"  {provider}: {token_preview} ({st})")
+
+    if not found_any:
+        console.print("No OAuth credentials configured.")
+        console.print("Run: nanobot oauth login anthropic --token <token>")
+
+
+@oauth_app.command("logout")
+def logout(
+    provider: str = typer.Argument("anthropic", help="Provider name"),
+):
+    """Remove OAuth credentials for a provider."""
+    from nanobot.config.oauth_store import OAuthStore
+
+    store = OAuthStore(Path.home() / ".nanobot")
+    if store.delete(provider):
+        console.print(f"[green]Removed {provider} OAuth credentials[/green]")
+    else:
+        console.print(f"No credentials found for {provider}")

nanobot/config/loader.py

@@ -11,12 +11,29 @@ def get_config_path() -> Path:
     return Path.home() / ".nanobot" / "config.json"
 
 
+def _get_oauth_store_dir() -> Path:
+    """Get the OAuth store directory."""
+    return Path.home() / ".nanobot"
+
+
 def get_data_dir() -> Path:
     """Get the nanobot data directory."""
     from nanobot.utils.helpers import get_data_path
     return get_data_path()
 
 
+def _inject_oauth_credentials(config: Config) -> Config:
+    """Inject OAuth credentials from store into config if available."""
+    from nanobot.config.oauth_store import OAuthStore
+
+    store = OAuthStore(_get_oauth_store_dir())
+    creds = store.load("anthropic")
+    if creds and creds.access_token and not creds.is_expired:
+        config.providers.anthropic.api_key = creds.access_token
+
+    return config
+
+
 def load_config(config_path: Path | None = None) -> Config:
     """
     Load configuration from file or create default.
@@ -34,12 +51,13 @@ def load_config(config_path: Path | None = None) -> Config:
             with open(path, encoding="utf-8") as f:
                 data = json.load(f)
             data = _migrate_config(data)
-            return Config.model_validate(data)
+            config = Config.model_validate(data)
+            return _inject_oauth_credentials(config)
         except (json.JSONDecodeError, ValueError) as e:
             print(f"Warning: Failed to load config from {path}: {e}")
             print("Using default configuration.")
 
-    return Config()
+    return _inject_oauth_credentials(Config())
 
 
 def save_config(config: Config, config_path: Path | None = None) -> None:

nanobot/config/oauth_store.py

@@ -0,0 +1,59 @@
+"""OAuth credential storage."""
+
+import json
+from pathlib import Path
+from typing import Any
+
+from nanobot.config.schema import OAuthCredentials
+
+
+class OAuthStore:
+    """Stores OAuth credentials in a JSON file."""
+
+    FILENAME = "oauth-credentials.json"
+
+    def __init__(self, config_dir: Path):
+        self.config_dir = config_dir
+        self.file_path = config_dir / self.FILENAME
+
+    def _load_all(self) -> dict[str, Any]:
+        """Load all credentials from file."""
+        if not self.file_path.exists():
+            return {}
+
+        with open(self.file_path, "r") as f:
+            return json.load(f)
+
+    def _save_all(self, data: dict[str, Any]) -> None:
+        """Save all credentials to file."""
+        self.config_dir.mkdir(parents=True, exist_ok=True)
+
+        with open(self.file_path, "w") as f:
+            json.dump(data, f, indent=2)
+
+        # Secure permissions
+        self.file_path.chmod(0o600)
+
+    def save(self, provider: str, credentials: OAuthCredentials) -> None:
+        """Save credentials for a provider."""
+        data = self._load_all()
+        data[provider] = credentials.model_dump()
+        self._save_all(data)
+
+    def load(self, provider: str) -> OAuthCredentials | None:
+        """Load credentials for a provider."""
+        data = self._load_all()
+        if provider not in data:
+            return None
+
+        return OAuthCredentials(**data[provider])
+
+    def delete(self, provider: str) -> bool:
+        """Delete credentials for a provider."""
+        data = self._load_all()
+        if provider not in data:
+            return False
+
+        del data[provider]
+        self._save_all(data)
+        return True

nanobot/config/schema.py

@@ -226,6 +226,7 @@ class AgentDefaults(Base):
     temperature: float = 0.1
     max_tool_iterations: int = 40
     memory_window: int = 100
+    thinking_budget: int = 0  # 0 = disabled; >0 = token budget for extended thinking
 
 
 class AgentsConfig(Base):
@@ -234,12 +235,42 @@ class AgentsConfig(Base):
     defaults: AgentDefaults = Field(default_factory=AgentDefaults)
 
 
+class OAuthCredentials(BaseModel):
+    """OAuth token credentials for subscription-based auth."""
+    access_token: str = ""
+    refresh_token: str = ""
+    expires_at: int = 0  # Unix timestamp
+    token_type: str = "oauth"  # "oauth" or "token" (setup-token)
+
+    @property
+    def is_oauth_token(self) -> bool:
+        """Check if this is an OAuth token (vs regular API key)."""
+        return "sk-ant-oat" in self.access_token
+
+    @property
+    def is_expired(self) -> bool:
+        """Check if token has expired."""
+        import time
+        if self.expires_at == 0:
+            return False  # No expiry set (setup-token)
+        return time.time() > self.expires_at
+
+    @property
+    def expires_soon(self) -> bool:
+        """Check if token expires within 10 minutes."""
+        import time
+        if self.expires_at == 0:
+            return False
+        return time.time() > (self.expires_at - 600)
+
+
 class ProviderConfig(Base):
     """LLM provider configuration."""
 
     api_key: str = ""
     api_base: str | None = None
     extra_headers: dict[str, str] | None = None  # Custom headers (e.g. APP-Code for AiHubMix)
+    oauth_credentials: OAuthCredentials | None = None
 
 
 class ProvidersConfig(Base):
@@ -279,6 +310,26 @@ class GatewayConfig(Base):
     heartbeat: HeartbeatConfig = Field(default_factory=HeartbeatConfig)
 
 
+class HooksConfig(Base):
+    """Webhook endpoint configuration."""
+    enabled: bool = False
+    tokens: dict[str, str] = Field(default_factory=dict)  # Named tokens: {name: secret}
+    path: str = "/hooks"  # URL path for the endpoint
+    timeout_seconds: int = 120  # Max time to wait for agent response
+
+    def resolve_token(self, provided: str) -> str | None:
+        """Return token name if provided secret matches, else None."""
+        for name, secret in self.tokens.items():
+            if secret == provided:
+                return name
+        return None
+
+    @property
+    def has_tokens(self) -> bool:
+        """True if at least one token is configured."""
+        return bool(self.tokens)
+
+
 class WebSearchConfig(Base):
     """Web search tool configuration."""
 
@@ -316,6 +367,7 @@ class ToolsConfig(Base):
     web: WebToolsConfig = Field(default_factory=WebToolsConfig)
     exec: ExecToolConfig = Field(default_factory=ExecToolConfig)
     restrict_to_workspace: bool = False  # If true, restrict all tool access to workspace directory
+    enable_memory_tool: bool = True  # If true, enable Anthropic's native memory tool
     mcp_servers: dict[str, MCPServerConfig] = Field(default_factory=dict)
 
 
@@ -326,6 +378,7 @@ class Config(BaseSettings):
     channels: ChannelsConfig = Field(default_factory=ChannelsConfig)
     providers: ProvidersConfig = Field(default_factory=ProvidersConfig)
     gateway: GatewayConfig = Field(default_factory=GatewayConfig)
+    hooks: HooksConfig = Field(default_factory=HooksConfig)
     tools: ToolsConfig = Field(default_factory=ToolsConfig)
 
     @property

nanobot/heartbeat/service.py

@@ -9,64 +9,62 @@ from typing import TYPE_CHECKING, Any, Callable, Coroutine
 from loguru import logger
 
 if TYPE_CHECKING:
-    from nanobot.providers.base import LLMProvider
+    from nanobot.session.manager import SessionManager
 
-_HEARTBEAT_TOOL = [
+# Default interval: 30 minutes
-    {
+DEFAULT_HEARTBEAT_INTERVAL_S = 30 * 60
-        "type": "function",
+
-        "function": {
+# The prompt sent to agent during heartbeat
-            "name": "heartbeat",
+HEARTBEAT_PROMPT = """Read HEARTBEAT.md in your workspace (if it exists).
-            "description": "Report heartbeat decision after reviewing tasks.",
+Follow any instructions or tasks listed there.
-            "parameters": {
+If nothing needs attention, reply with just: HEARTBEAT_OK"""
-                "type": "object",
+
-                "properties": {
+# Token that indicates "nothing to do"
-                    "action": {
+HEARTBEAT_OK_TOKEN = "HEARTBEAT_OK"
-                        "type": "string",
+
-                        "enum": ["skip", "run"],
+
-                        "description": "skip = nothing to do, run = has active tasks",
+def _is_heartbeat_empty(content: str | None) -> bool:
-                    },
+    """Check if HEARTBEAT.md has no actionable content."""
-                    "tasks": {
+    if not content:
-                        "type": "string",
+        return True
-                        "description": "Natural-language summary of active tasks (required for run)",
+
-                    },
+    # Lines to skip: empty, headers, HTML comments, empty checkboxes
-                },
+    skip_patterns = {"- [ ]", "* [ ]", "- [x]", "* [x]"}
-                "required": ["action"],
+
-            },
+    for line in content.split("\n"):
-        },
+        line = line.strip()
-    }
+        if not line or line.startswith("#") or line.startswith("<!--") or line in skip_patterns:
-]
+            continue
+        return False  # Found actionable content
+
+    return True
 
 
 class HeartbeatService:
     """
     Periodic heartbeat service that wakes the agent to check for tasks.
 
-    Phase 1 (decision): reads HEARTBEAT.md and asks the LLM — via a virtual
+    The agent reads HEARTBEAT.md from the workspace and executes any
-    tool call — whether there are active tasks.  This avoids free-text parsing
+    tasks listed there. If nothing needs attention, it replies HEARTBEAT_OK.
-    and the unreliable HEARTBEAT_OK token.
-
-    Phase 2 (execution): only triggered when Phase 1 returns ``run``.  The
-    ``on_execute`` callback runs the task through the full agent loop and
-    returns the result to deliver.
     """
 
     def __init__(
         self,
         workspace: Path,
-        provider: LLMProvider,
+        on_heartbeat: Callable[[str, dict[str, Any] | None], Coroutine[Any, Any, str]] | None = None,
-        model: str,
+        interval_s: int = DEFAULT_HEARTBEAT_INTERVAL_S,
-        on_execute: Callable[[str], Coroutine[Any, Any, str]] | None = None,
-        on_notify: Callable[[str], Coroutine[Any, Any, None]] | None = None,
-        interval_s: int = 30 * 60,
         enabled: bool = True,
+        session_manager: SessionManager | None = None,
+        target_session_key: str = "telegram:239824268",
+        idle_threshold_s: int = 30 * 60,  # 30 minutes
     ):
         self.workspace = workspace
-        self.provider = provider
+        self.on_heartbeat = on_heartbeat
-        self.model = model
-        self.on_execute = on_execute
-        self.on_notify = on_notify
         self.interval_s = interval_s
         self.enabled = enabled
+        self.session_manager = session_manager
+        self.target_session_key = target_session_key
+        self.idle_threshold_s = idle_threshold_s
         self._running = False
         self._task: asyncio.Task | None = None
 
@@ -75,48 +73,23 @@ class HeartbeatService:
         return self.workspace / "HEARTBEAT.md"
 
     def _read_heartbeat_file(self) -> str | None:
+        """Read HEARTBEAT.md content."""
         if self.heartbeat_file.exists():
             try:
-                return self.heartbeat_file.read_text(encoding="utf-8")
+                return self.heartbeat_file.read_text()
             except Exception:
                 return None
         return None
 
-    async def _decide(self, content: str) -> tuple[str, str]:
-        """Phase 1: ask LLM to decide skip/run via virtual tool call.
-
-        Returns (action, tasks) where action is 'skip' or 'run'.
-        """
-        response = await self.provider.chat(
-            messages=[
-                {"role": "system", "content": "You are a heartbeat agent. Call the heartbeat tool to report your decision."},
-                {"role": "user", "content": (
-                    "Review the following HEARTBEAT.md and decide whether there are active tasks.\n\n"
-                    f"{content}"
-                )},
-            ],
-            tools=_HEARTBEAT_TOOL,
-            model=self.model,
-        )
-
-        if not response.has_tool_calls:
-            return "skip", ""
-
-        args = response.tool_calls[0].arguments
-        return args.get("action", "skip"), args.get("tasks", "")
-
     async def start(self) -> None:
         """Start the heartbeat service."""
         if not self.enabled:
             logger.info("Heartbeat disabled")
             return
-        if self._running:
-            logger.warning("Heartbeat already running")
-            return
 
         self._running = True
         self._task = asyncio.create_task(self._run_loop())
-        logger.info("Heartbeat started (every {}s)", self.interval_s)
+        logger.info(f"Heartbeat started (every {self.interval_s}s)")
 
     def stop(self) -> None:
         """Stop the heartbeat service."""
@@ -135,39 +108,69 @@ class HeartbeatService:
             except asyncio.CancelledError:
                 break
             except Exception as e:
-                logger.error("Heartbeat error: {}", e)
+                logger.error(f"Heartbeat error: {e}")
 
     async def _tick(self) -> None:
         """Execute a single heartbeat tick."""
+
+        # Check if user is idle (if session manager provided)
+        if self.session_manager and self.target_session_key:
+            try:
+                session = self.session_manager.get_or_create(self.target_session_key)
+
+                # Find last real user message timestamp (exclude system-generated messages)
+                # Real Telegram messages have sender_id like "239824268|username"
+                # System messages (heartbeat, cron) created via process_direct have sender_id="user"
+                # Old messages may not have sender_id field (backwards compat: treat as real user messages)
+                last_user_timestamp = None
+                for msg in reversed(session.messages):
+                    if msg.get("role") == "user":
+                        sender_id = msg.get("sender_id")
+                        # Skip if explicitly marked as system-generated
+                        if sender_id == "user":
+                            continue
+                        # Accept if no sender_id (old message) or if real user ID
+                        last_user_timestamp = msg.get("timestamp")
+                        break
+
+                if last_user_timestamp:
+                    from datetime import datetime
+                    last_dt = datetime.fromisoformat(last_user_timestamp)
+                    elapsed = (datetime.now() - last_dt).total_seconds()
+
+                    if elapsed < self.idle_threshold_s:
+                        logger.debug(f"Heartbeat: user active {int(elapsed)}s ago, skipping")
+                        return  # User is active, don't trigger heartbeat
+            except Exception as e:
+                logger.warning(f"Heartbeat: error checking idle state: {e}")
+                # Continue with heartbeat on error (fail open)
+
+        # Original heartbeat logic
         content = self._read_heartbeat_file()
-        if not content:
+
-            logger.debug("Heartbeat: HEARTBEAT.md missing or empty")
+        # Skip if HEARTBEAT.md is empty or doesn't exist
+        if _is_heartbeat_empty(content):
+            logger.debug("Heartbeat: no tasks (HEARTBEAT.md empty)")
             return
 
-        logger.info("Heartbeat: checking for tasks...")
+        logger.info("Heartbeat: user idle, checking for tasks...")
 
-        try:
+        if self.on_heartbeat:
-            action, tasks = await self._decide(content)
+            try:
+                # Call with suppress_output metadata
+                await self.on_heartbeat(
+                    HEARTBEAT_PROMPT,
+                    metadata={"suppress_output": True}
+                )
 
-            if action != "run":
+                # Note: HEARTBEAT_OK check removed - suppress mode makes it unnecessary
-                logger.info("Heartbeat: OK (nothing to report)")
+                logger.info("Heartbeat: completed")
-                return
 
-            logger.info("Heartbeat: tasks found, executing...")
+            except Exception as e:
-            if self.on_execute:
+                logger.error(f"Heartbeat execution failed: {e}")
-                response = await self.on_execute(tasks)
-                if response and self.on_notify:
-                    logger.info("Heartbeat: completed, delivering response")
-                    await self.on_notify(response)
-        except Exception:
-            logger.exception("Heartbeat execution failed")
 
     async def trigger_now(self) -> str | None:
         """Manually trigger a heartbeat."""
-        content = self._read_heartbeat_file()
+        if self.on_heartbeat:
-        if not content:
+            return await self.on_heartbeat(HEARTBEAT_PROMPT, metadata={"suppress_output": True})
-            return None
+        return None
-        action, tasks = await self._decide(content)
-        if action != "run" or not self.on_execute:
-            return None
-        return await self.on_execute(tasks)

nanobot/hooks/server.py

@@ -0,0 +1,139 @@
+"""HTTP hooks server for external service integration."""
+
+import asyncio
+import json
+import uuid
+
+from aiohttp import web
+from loguru import logger
+
+from nanobot.bus.events import InboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.config.schema import HooksConfig
+
+
+class HooksServer:
+    """
+    HTTP server exposing a /hooks endpoint.
+
+    External services POST JSON messages. The server publishes them
+    to the bus as InboundMessages and uses bus-level correlation
+    to return the agent's response synchronously.
+    """
+
+    def __init__(
+        self,
+        host: str,
+        port: int,
+        config: HooksConfig,
+        bus: MessageBus,
+    ):
+        self.host = host
+        self.port = port
+        self.config = config
+        self.bus = bus
+        self._app = web.Application()
+        self._app.router.add_post(self.config.path, self._handle_hook)
+        self._app.router.add_get("/health", self._handle_health)
+        self._runner: web.AppRunner | None = None
+
+    async def start(self) -> None:
+        """Start the HTTP server."""
+        if not self.config.has_tokens:
+            logger.warning("Hooks server has no tokens configured — endpoint disabled for security")
+            return
+
+        self._runner = web.AppRunner(self._app)
+        await self._runner.setup()
+        site = web.TCPSite(self._runner, self.host, self.port)
+        await site.start()
+        logger.info(f"Hooks server listening on {self.host}:{self.port}{self.config.path}")
+
+    async def stop(self) -> None:
+        """Stop the HTTP server."""
+        if self._runner:
+            await self._runner.cleanup()
+            self._runner = None
+
+    def _resolve_auth(self, request: web.Request) -> str | None:
+        """
+        Validate auth and return token name if valid, None otherwise.
+        Checks Authorization: Bearer <token> and X-Hook-Token headers.
+        """
+        # Try Authorization: Bearer <token>
+        auth = request.headers.get("Authorization", "")
+        if auth.startswith("Bearer "):
+            token = auth[7:]
+        else:
+            # Try X-Hook-Token header
+            token = request.headers.get("X-Hook-Token", "")
+
+        return self.config.resolve_token(token) if token else None
+
+    async def _handle_health(self, request: web.Request) -> web.Response:
+        """Health check endpoint — no auth required."""
+        return web.json_response({"status": "ok"})
+
+    async def _handle_hook(self, request: web.Request) -> web.Response:
+        """Handle incoming hook request."""
+        # Auth check — resolve token name
+        token_name = self._resolve_auth(request)
+        if not token_name:
+            return web.json_response({"error": "unauthorized"}, status=401)
+
+        # Parse body
+        try:
+            body = await request.json()
+        except (json.JSONDecodeError, Exception):
+            return web.json_response({"error": "invalid JSON body"}, status=400)
+
+        # Validate required fields
+        message = body.get("message")
+        if not message or not isinstance(message, str):
+            return web.json_response(
+                {"error": "missing or invalid 'message' field"}, status=400
+            )
+
+        # Optional fields
+        channel = body.get("channel", "hook")
+        chat_id = body.get("chat_id", token_name)
+        timeout = body.get("timeout", self.config.timeout_seconds)
+
+        # Create correlation
+        correlation_id = str(uuid.uuid4())
+
+        # Build InboundMessage
+        msg = InboundMessage(
+            channel=channel,
+            sender_id=f"hook:{token_name}",
+            chat_id=str(chat_id),
+            content=message,
+            metadata={
+                "correlation_id": correlation_id,
+                "hook_source": token_name,
+            },
+        )
+
+        # Fire-and-forget mode
+        if timeout == 0:
+            await self.bus.publish_inbound(msg)
+            return web.json_response({"ok": True}, status=202)
+
+        # Request-response mode
+        future = self.bus.register_correlation(correlation_id)
+        await self.bus.publish_inbound(msg)
+
+        try:
+            response = await asyncio.wait_for(future, timeout=timeout)
+            return web.json_response({"ok": True, "response": response})
+        except asyncio.TimeoutError:
+            return web.json_response(
+                {"ok": False, "error": f"agent did not respond within {timeout}s"},
+                status=504,
+            )
+        except Exception as e:
+            logger.error(f"Hook processing error: {e}")
+            return web.json_response({"error": "internal error"}, status=500)
+        finally:
+            # Clean up correlation on any failure
+            self.bus.cancel_correlation(correlation_id)

nanobot/providers/__init__.py

@@ -1,7 +1,47 @@
-"""LLM provider abstraction module."""
+"""Provider module exports."""
 
-from nanobot.providers.base import LLMProvider, LLMResponse
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
 from nanobot.providers.litellm_provider import LiteLLMProvider
 from nanobot.providers.openai_codex_provider import OpenAICodexProvider
+from nanobot.providers.anthropic_oauth import AnthropicOAuthProvider
+from nanobot.providers.registry import should_use_oauth_provider
 
-__all__ = ["LLMProvider", "LLMResponse", "LiteLLMProvider", "OpenAICodexProvider"]
+__all__ = [
+    "LLMProvider",
+    "LLMResponse",
+    "ToolCallRequest",
+    "LiteLLMProvider",
+    "OpenAICodexProvider",
+    "AnthropicOAuthProvider",
+    "create_provider",
+]
+
+
+def create_provider(
+    api_key: str,
+    model: str,
+    api_base: str | None = None,
+    extra_headers: dict[str, str] | None = None,
+    provider_name: str | None = None,
+    thinking_budget: int = 0,
+) -> LLMProvider:
+    """Factory function to create appropriate provider.
+
+    Automatically selects AnthropicOAuthProvider for OAuth tokens,
+    LiteLLMProvider for everything else.
+    """
+    if should_use_oauth_provider(api_key, model):
+        return AnthropicOAuthProvider(
+            oauth_token=api_key,
+            default_model=model,
+            api_base=api_base,
+            thinking_budget=thinking_budget,
+        )
+
+    return LiteLLMProvider(
+        api_key=api_key,
+        api_base=api_base,
+        default_model=model,
+        extra_headers=extra_headers,
+        provider_name=provider_name,
+    )

nanobot/providers/anthropic_oauth.py

@@ -0,0 +1,497 @@
+"""Anthropic OAuth provider - direct API calls with Bearer auth.
+
+This provider bypasses litellm to properly handle OAuth tokens
+which require Authorization: Bearer header instead of x-api-key.
+"""
+
+import json
+from typing import Any
+
+import httpx
+from loguru import logger
+
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
+from nanobot.providers.oauth_utils import get_auth_headers
+
+
+class AnthropicOAuthProvider(LLMProvider):
+    """
+    Anthropic provider using OAuth token authentication.
+
+    Unlike the LiteLLM provider, this calls the Anthropic API directly
+    with proper Bearer token authentication for Claude Max/Pro subscriptions.
+    """
+
+    ANTHROPIC_API_URL = "https://api.anthropic.com/v1/messages"
+
+    def __init__(
+        self,
+        oauth_token: str,
+        default_model: str = "claude-opus-4-5",
+        api_base: str | None = None,
+        thinking_budget: int = 0,
+    ):
+        super().__init__(api_key=None, api_base=api_base)
+        self.oauth_token = oauth_token
+        self.default_model = default_model
+        self.thinking_budget = thinking_budget
+        self._client: httpx.AsyncClient | None = None
+
+    def _get_headers(self) -> dict[str, str]:
+        """Get request headers with Bearer auth."""
+        return get_auth_headers(self.oauth_token, is_oauth=True)
+
+    def _get_api_url(self) -> str:
+        """Get API endpoint URL."""
+        if self.api_base:
+            return f"{self.api_base.rstrip('/')}/v1/messages"
+        return self.ANTHROPIC_API_URL
+
+    @staticmethod
+    def _normalize_model(model: str) -> str:
+        """Normalize model name for the Anthropic API.
+
+        Anthropic model IDs use hyphens (claude-sonnet-4-5), but users often
+        write dots (claude-sonnet-4.5). Normalize so both work.
+        """
+        return model.replace(".", "-")
+
+    async def _get_client(self) -> httpx.AsyncClient:
+        """Get or create async HTTP client."""
+        if self._client is None:
+            self._client = httpx.AsyncClient(timeout=300.0)
+        return self._client
+
+    def _prepare_messages(
+        self,
+        messages: list[dict[str, Any]]
+    ) -> tuple[str | None, list[dict[str, Any]]]:
+        """Prepare messages: extract system prompt and convert OpenAI format to Anthropic.
+
+        The agent loop produces messages in OpenAI format:
+          - assistant msgs with tool_calls [{type:"function", function:{name, arguments}}]
+          - tool role msgs with tool_call_id, name, content
+
+        Anthropic API expects:
+          - assistant msgs with content blocks [{type:"tool_use", id, name, input}]
+          - user msgs with content blocks [{type:"tool_result", tool_use_id, content}]
+
+        Returns (system_prompt, anthropic_messages)
+        """
+        system_parts = []
+        converted: list[dict[str, Any]] = []
+
+        for msg in messages:
+            role = msg.get("role")
+
+            if role == "system":
+                system_parts.append(msg.get("content", ""))
+                continue
+
+            if role == "assistant" and msg.get("tool_calls"):
+                # Convert OpenAI tool_calls to Anthropic content blocks
+                content_blocks: list[dict[str, Any]] = []
+                # Preserve thinking blocks (list=raw API blocks with signatures, str=legacy)
+                rc = msg.get("reasoning_content")
+                if isinstance(rc, list):
+                    content_blocks.extend(rc)
+                elif isinstance(rc, str) and rc:
+                    content_blocks.append({"type": "thinking", "thinking": rc})
+                text = msg.get("content")
+                if text:
+                    content_blocks.append({"type": "text", "text": text})
+                for tc in msg["tool_calls"]:
+                    func = tc.get("function", {})
+                    args = func.get("arguments", "{}")
+                    if isinstance(args, str):
+                        try:
+                            args = json.loads(args)
+                        except (json.JSONDecodeError, TypeError):
+                            args = {}
+                    content_blocks.append({
+                        "type": "tool_use",
+                        "id": tc.get("id", ""),
+                        "name": func.get("name", ""),
+                        "input": args,
+                    })
+                converted.append({"role": "assistant", "content": content_blocks})
+                continue
+
+            if role == "assistant" and msg.get("reasoning_content"):
+                # Plain assistant message with thinking (no tool calls)
+                rc = msg["reasoning_content"]
+                if isinstance(rc, list):
+                    content_blocks = list(rc)
+                else:
+                    content_blocks = [{"type": "thinking", "thinking": rc}]
+                text = msg.get("content")
+                if text:
+                    content_blocks.append({"type": "text", "text": text})
+                converted.append({"role": "assistant", "content": content_blocks})
+                continue
+
+            if role == "tool":
+                # Convert tool result to Anthropic user message with tool_result block
+                tool_result_block = {
+                    "type": "tool_result",
+                    "tool_use_id": msg.get("tool_call_id", ""),
+                    "content": msg.get("content", ""),
+                }
+                # Merge into previous user message if it already has tool_result blocks
+                if converted and converted[-1].get("role") == "user":
+                    prev_content = converted[-1].get("content")
+                    if isinstance(prev_content, list):
+                        prev_content.append(tool_result_block)
+                        continue
+                converted.append({"role": "user", "content": [tool_result_block]})
+                continue
+
+            if role == "user":
+                content = msg.get("content", "")
+                # Convert OpenAI image_url blocks to Anthropic image blocks
+                if isinstance(content, list):
+                    content = self._convert_image_blocks(content)
+                # Merge text into previous user message if it has tool_result blocks
+                # (handles the "Reflect on the results" interleaved message)
+                if converted and converted[-1].get("role") == "user":
+                    prev_content = converted[-1].get("content")
+                    if isinstance(prev_content, list):
+                        if isinstance(content, str):
+                            prev_content.append({"type": "text", "text": content})
+                        elif isinstance(content, list):
+                            prev_content.extend(content)
+                        continue
+                converted.append({"role": role, "content": content})
+                continue
+
+            # Pass through other messages (assistant without tool_calls, etc.)
+            converted.append(msg)
+
+        system_prompt = "\n\n".join(system_parts)
+        return system_prompt, converted
+
+    @staticmethod
+    def _convert_image_blocks(content: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        """Convert OpenAI image_url blocks to Anthropic image blocks.
+
+        OpenAI format:  {"type": "image_url", "image_url": {"url": "data:mime;base64,DATA"}}
+        Anthropic format: {"type": "image", "source": {"type": "base64", "media_type": "mime", "data": "DATA"}}
+        """
+        converted = []
+        for block in content:
+            if block.get("type") == "image_url":
+                url = block.get("image_url", {}).get("url", "")
+                if url.startswith("data:") and ";base64," in url:
+                    header, data = url.split(";base64,", 1)
+                    media_type = header.removeprefix("data:")
+                    converted.append({
+                        "type": "image",
+                        "source": {"type": "base64", "media_type": media_type, "data": data},
+                    })
+                else:
+                    converted.append({
+                        "type": "image",
+                        "source": {"type": "url", "url": url},
+                    })
+            else:
+                converted.append(block)
+        return converted
+
+    def _convert_tools_to_anthropic(
+        self,
+        tools: list[dict[str, Any]] | list[Any] | None
+    ) -> list[dict[str, Any]] | None:
+        """Convert tools to Anthropic API format.
+
+        Supports both function tools (custom) and native tools (Anthropic).
+        Function tools are converted to Anthropic format.
+        Native tools are passed through unchanged.
+        Tool objects (with to_params/to_schema methods) are converted to dicts.
+        """
+        if not tools:
+            return None
+
+        anthropic_tools = []
+        for tool in tools:
+            # Convert tool objects to dicts first
+            if hasattr(tool, 'to_params'):  # Native Anthropic tool
+                tool_dict = tool.to_params()
+            elif hasattr(tool, 'to_schema'):  # Function tool
+                tool_dict = tool.to_schema()
+            else:
+                tool_dict = tool  # Already a dict
+
+            # Now process the dict
+            if tool_dict.get("type") == "function":
+                # Convert function tool format
+                func = tool_dict["function"]
+                anthropic_tools.append({
+                    "name": func["name"],
+                    "description": func.get("description", ""),
+                    "input_schema": func.get("parameters", {"type": "object", "properties": {}})
+                })
+            else:
+                # Pass through native tool format as-is
+                # (bash_20250124, text_editor_20250728, computer_20251124, etc.)
+                anthropic_tools.append(tool_dict)
+
+        return anthropic_tools if anthropic_tools else None
+
+    async def _make_request(
+        self,
+        messages: list[dict[str, Any]],
+        system: str | None = None,
+        model: str = "claude-opus-4-5",
+        max_tokens: int = 4096,
+        temperature: float = 0.7,
+        tools: list[dict[str, Any]] | None = None,
+        thinking_budget_override: int | None = None,
+        context_management: dict[str, Any] | None = None,
+        beta_flags: set[str] | None = None,
+    ) -> dict[str, Any]:
+        """Make request to Anthropic API."""
+        client = await self._get_client()
+
+        # Cache the last user message so conversation history is cached across turns
+        if messages:
+            last = messages[-1]
+            if last.get("role") == "user":
+                content = last["content"]
+                if isinstance(content, str):
+                    last = {**last, "content": [{"type": "text", "text": content, "cache_control": {"type": "ephemeral"}}]}
+                elif isinstance(content, list) and content:
+                    new_content = list(content)
+                    new_content[-1] = {**new_content[-1], "cache_control": {"type": "ephemeral"}}
+                    last = {**last, "content": new_content}
+                messages = messages[:-1] + [last]
+
+        payload: dict[str, Any] = {
+            "model": model,
+            "messages": messages,
+            "max_tokens": max_tokens,
+        }
+
+        # Extended thinking: temperature must be 1 when enabled
+        effective_thinking = thinking_budget_override if thinking_budget_override is not None else self.thinking_budget
+        if effective_thinking > 0:
+            payload["temperature"] = 1
+            # max_tokens must exceed budget_tokens
+            if max_tokens <= effective_thinking:
+                payload["max_tokens"] = effective_thinking + 4096
+            payload["thinking"] = {
+                "type": "enabled",
+                "budget_tokens": effective_thinking,
+            }
+        else:
+            payload["temperature"] = temperature
+
+        if system:
+            payload["system"] = [{"type": "text", "text": system, "cache_control": {"type": "ephemeral", "ttl": "1h"}}]
+
+        if tools:
+            cached_tools = list(tools)
+            cached_tools[-1] = {**cached_tools[-1], "cache_control": {"type": "ephemeral", "ttl": "1h"}}
+            payload["tools"] = cached_tools
+
+        if context_management:
+            payload["context_management"] = context_management
+
+        edit_types = [e.get("type") for e in (context_management or {}).get("edits", [])]
+
+        # Build headers with beta flags if provided
+        headers = self._get_headers()
+        if beta_flags:
+            # Merge with existing beta header (from OAuth hardcoded flags)
+            existing_beta = headers.get("anthropic-beta", "")
+            existing_flags = set(existing_beta.split(",")) if existing_beta else set()
+            all_flags = existing_flags | beta_flags
+            headers["anthropic-beta"] = ",".join(sorted(all_flags))
+
+        logger.info(
+            "Anthropic request: model={} max_tokens={} thinking={} tools={} context_mgmt={} beta={}",
+            payload.get("model"), payload.get("max_tokens"),
+            payload.get("thinking", "disabled"),
+            len(payload.get("tools", [])),
+            edit_types or "none",
+            headers.get("anthropic-beta", "none"),
+        )
+
+        response = await client.post(
+            self._get_api_url(),
+            headers=headers,
+            json=payload,
+        )
+
+        # Dump rate limit headers for analysis
+        try:
+            import datetime
+            import os
+            header_dump = {
+                "timestamp": datetime.datetime.utcnow().isoformat(),
+                "status_code": response.status_code,
+                "model": payload.get("model"),
+                "headers": dict(response.headers),
+            }
+            dump_path = "/root/.nanobot/workspace/api_headers.jsonl"
+            with open(dump_path, "a") as f:
+                f.write(json.dumps(header_dump) + "\n")
+            # Capture rate limit state for quota-based model switching
+            hdrs = response.headers
+            rate_limit_state = {
+                "updated_at": datetime.datetime.utcnow().isoformat(),
+                "model": payload.get("model"),
+                "weekly_all_models": float(hdrs["anthropic-ratelimit-unified-7d-utilization"]) if hdrs.get("anthropic-ratelimit-unified-7d-utilization") else None,
+                "weekly_sonnet": float(hdrs["anthropic-ratelimit-unified-7d_sonnet-utilization"]) if hdrs.get("anthropic-ratelimit-unified-7d_sonnet-utilization") else None,
+                "session_5h": float(hdrs["anthropic-ratelimit-unified-5h-utilization"]) if hdrs.get("anthropic-ratelimit-unified-5h-utilization") else None,
+                "weekly_reset": int(hdrs["anthropic-ratelimit-unified-7d-reset"]) if hdrs.get("anthropic-ratelimit-unified-7d-reset") else None,
+                "session_reset": int(hdrs["anthropic-ratelimit-unified-5h-reset"]) if hdrs.get("anthropic-ratelimit-unified-5h-reset") else None,
+                "binding_limit": hdrs.get("anthropic-ratelimit-unified-representative-claim"),
+                "sonnet_fallback": hdrs.get("anthropic-ratelimit-unified-fallback"),
+            }
+            state_path = "/root/.nanobot/workspace/memory/rate_limits.json"
+            os.makedirs(os.path.dirname(state_path), exist_ok=True)
+            with open(state_path, "w") as f:
+                json.dump(rate_limit_state, f, indent=2)
+        except Exception as e:
+            logger.warning("Rate limit header capture failed: {}", e)
+
+        if response.status_code != 200:
+            error_text = response.text
+            raise Exception(f"Anthropic API error {response.status_code}: {error_text}")
+
+        return response.json()
+
+    async def chat(
+        self,
+        messages: list[dict[str, Any]],
+        tools: list[dict[str, Any]] | list[Any] | None = None,
+        model: str | None = None,
+        max_tokens: int = 4096,
+        temperature: float = 0.7,
+        thinking_budget: int | None = None,
+        context_management: dict[str, Any] | None = None,
+    ) -> LLMResponse:
+        """Send chat completion request to Anthropic API."""
+        model = model or self.default_model
+
+        # Strip provider prefix if present (e.g. "anthropic/claude-opus-4-5" -> "claude-opus-4-5")
+        if "/" in model:
+            model = model.split("/")[-1]
+
+        # Normalize dots to hyphens (claude-sonnet-4.5 -> claude-sonnet-4-5)
+        model = self._normalize_model(model)
+
+        system, prepared_messages = self._prepare_messages(messages)
+
+        # Collect beta flags from native tools BEFORE conversion
+        beta_flags: set[str] = set()
+        if tools:
+            for tool in tools:
+                if hasattr(tool, 'beta_flag') and tool.beta_flag:
+                    beta_flags.add(tool.beta_flag)
+
+        logger.debug(f"Beta flags collected: {beta_flags} (from {len(tools) if tools else 0} tools)")
+
+        # Convert tools to API format
+        anthropic_tools = self._convert_tools_to_anthropic(tools)
+
+        # Per-call thinking override (None = use instance default)
+        effective_thinking = self.thinking_budget if thinking_budget is None else thinking_budget
+
+        try:
+            response = await self._make_request(
+                messages=prepared_messages,
+                system=system,
+                model=model,
+                max_tokens=max_tokens,
+                temperature=temperature,
+                tools=anthropic_tools,
+                thinking_budget_override=effective_thinking,
+                context_management=context_management,
+                beta_flags=beta_flags,
+            )
+            return self._parse_response(response)
+        except Exception as e:
+            return LLMResponse(
+                content=f"Error calling LLM: {str(e)}",
+                finish_reason="error",
+            )
+
+    def _parse_response(self, response: dict[str, Any]) -> LLMResponse:
+        """Parse Anthropic API response."""
+        content_blocks = response.get("content", [])
+
+        text_content = ""
+        thinking_blocks: list[dict[str, Any]] = []
+        tool_calls = []
+
+        for block in content_blocks:
+            if block.get("type") == "thinking":
+                # Preserve full block including signature for multi-turn replay
+                thinking_blocks.append(block)
+            elif block.get("type") == "text":
+                text_content += block.get("text", "")
+            elif block.get("type") == "tool_use":
+                tool_calls.append(ToolCallRequest(
+                    id=block.get("id", ""),
+                    name=block.get("name", ""),
+                    arguments=block.get("input", {}),
+                ))
+
+        usage = {}
+        if "usage" in response:
+            usage = {
+                "prompt_tokens": response["usage"].get("input_tokens", 0),
+                "completion_tokens": response["usage"].get("output_tokens", 0),
+                "total_tokens": (
+                    response["usage"].get("input_tokens", 0) +
+                    response["usage"].get("output_tokens", 0)
+                ),
+            }
+
+        stop_reason = response.get("stop_reason", "end_turn")
+        thinking_chars = sum(len(b.get("thinking", "")) for b in thinking_blocks) if thinking_blocks else 0
+        raw_usage = response.get("usage", {})
+        cache_write = raw_usage.get("cache_creation_input_tokens", 0)
+        cache_read = raw_usage.get("cache_read_input_tokens", 0)
+        logger.info(
+            "Anthropic response: stop={} tool_calls={} thinking={} chars, "
+            "input={} output={} cache_write={} cache_read={} tokens",
+            stop_reason, len(tool_calls), thinking_chars,
+            usage.get("prompt_tokens", 0), usage.get("completion_tokens", 0),
+            cache_write, cache_read,
+        )
+
+        # Log context editing activity if any edits were applied
+        if applied_edits := response.get("context_management", {}).get("applied_edits"):
+            for edit in applied_edits:
+                edit_type = edit.get("type", "?")
+                cleared_tokens = edit.get("cleared_input_tokens", 0)
+                if edit_type == "clear_tool_uses_20250919":
+                    logger.info(
+                        "Context edit: cleared {} tool uses ({} tokens)",
+                        edit.get("cleared_tool_uses", 0), cleared_tokens,
+                    )
+                elif edit_type == "clear_thinking_20251015":
+                    logger.info(
+                        "Context edit: cleared {} thinking turns ({} tokens)",
+                        edit.get("cleared_thinking_turns", 0), cleared_tokens,
+                    )
+
+        return LLMResponse(
+            content=text_content or None,
+            tool_calls=tool_calls,
+            finish_reason=stop_reason,
+            usage=usage,
+            reasoning_content=thinking_blocks or None,
+        )
+
+    def get_default_model(self) -> str:
+        """Get the default model."""
+        return self.default_model
+
+    async def close(self):
+        """Close the HTTP client."""
+        if self._client:
+            await self._client.aclose()
+            self._client = None

nanobot/providers/base.py

@@ -20,7 +20,7 @@ class LLMResponse:
     tool_calls: list[ToolCallRequest] = field(default_factory=list)
     finish_reason: str = "stop"
     usage: dict[str, int] = field(default_factory=dict)
-    reasoning_content: str | None = None  # Kimi, DeepSeek-R1 etc.
+    reasoning_content: Any = None  # str for Kimi/DeepSeek-R1; list[dict] for Anthropic thinking blocks
     
     @property
     def has_tool_calls(self) -> bool:
@@ -88,6 +88,8 @@ class LLMProvider(ABC):
         model: str | None = None,
         max_tokens: int = 4096,
         temperature: float = 0.7,
+        thinking_budget: int | None = None,
+        context_management: dict[str, Any] | None = None,
     ) -> LLMResponse:
         """
         Send a chat completion request.

nanobot/providers/litellm_provider.py

@@ -178,6 +178,8 @@ class LiteLLMProvider(LLMProvider):
         model: str | None = None,
         max_tokens: int = 4096,
         temperature: float = 0.7,
+        thinking_budget: int | None = None,
+        context_management: dict[str, Any] | None = None,  # Anthropic-only, ignored here
     ) -> LLMResponse:
         """
         Send a chat completion request via LiteLLM.

nanobot/providers/oauth_utils.py

@@ -0,0 +1,38 @@
+"""OAuth utility functions for Anthropic subscription auth."""
+
+from typing import Any
+
+
+def is_oauth_token(token: str | None) -> bool:
+    """Check if token is an OAuth token (vs regular API key).
+
+    OAuth tokens from Claude Max/Pro contain 'sk-ant-oat' prefix.
+    Regular API keys use 'sk-ant-api03' or similar.
+    """
+    if not token:
+        return False
+    return "sk-ant-oat" in token
+
+
+def get_auth_headers(token: str, is_oauth: bool = False) -> dict[str, str]:
+    """Get authentication headers for Anthropic API.
+
+    OAuth tokens require Authorization: Bearer header.
+    Regular API keys use x-api-key header.
+    """
+    headers: dict[str, str] = {
+        "anthropic-version": "2023-06-01",
+        "content-type": "application/json",
+    }
+
+    if is_oauth:
+        headers["Authorization"] = f"Bearer {token}"
+        # Required headers to mimic Claude Code client
+        headers["anthropic-beta"] = "claude-code-20250219,oauth-2025-04-20,context-management-2025-06-27"
+        headers["anthropic-dangerous-direct-browser-access"] = "true"
+        headers["user-agent"] = "claude-cli/2.1.2 (external, cli)"
+        headers["x-app"] = "cli"
+    else:
+        headers["x-api-key"] = token
+
+    return headers

nanobot/providers/registry.py

@@ -460,3 +460,24 @@ def find_by_name(name: str) -> ProviderSpec | None:
         if spec.name == name:
             return spec
     return None
+
+
+def should_use_oauth_provider(api_key: str | None, model: str) -> bool:
+    """Determine if OAuth provider should be used.
+
+    OAuth provider is used when:
+    1. API key is an OAuth token (contains 'sk-ant-oat')
+    2. Model is an Anthropic model (contains 'claude' or 'anthropic')
+    """
+    if not api_key:
+        return False
+
+    if "sk-ant-oat" not in api_key:
+        return False
+
+    model_lower = model.lower()
+    anthropic_spec = find_by_name("anthropic")
+    if anthropic_spec:
+        return any(kw in model_lower for kw in anthropic_spec.keywords)
+
+    return False

nanobot/session/manager.py

@@ -1,7 +1,6 @@
 """Session management for conversation history."""
 
 import json
-import shutil
 from pathlib import Path
 from dataclasses import dataclass, field
 from datetime import datetime
@@ -16,20 +15,15 @@ from nanobot.utils.helpers import ensure_dir, safe_filename
 class Session:
     """
     A conversation session.
-
+    
     Stores messages in JSONL format for easy reading and persistence.
-
-    Important: Messages are append-only for LLM cache efficiency.
-    The consolidation process writes summaries to MEMORY.md/HISTORY.md
-    but does NOT modify the messages list or get_history() output.
     """
-
+    
     key: str  # channel:chat_id
     messages: list[dict[str, Any]] = field(default_factory=list)
     created_at: datetime = field(default_factory=datetime.now)
     updated_at: datetime = field(default_factory=datetime.now)
     metadata: dict[str, Any] = field(default_factory=dict)
-    last_consolidated: int = 0  # Number of messages already consolidated to files
     
     def add_message(self, role: str, content: str, **kwargs: Any) -> None:
         """Add a message to the session."""
@@ -41,56 +35,57 @@ class Session:
         }
         self.messages.append(msg)
         self.updated_at = datetime.now()
-    
-    def get_history(self, max_messages: int = 500) -> list[dict[str, Any]]:
-        """Return unconsolidated messages for LLM input, aligned to a user turn."""
-        unconsolidated = self.messages[self.last_consolidated:]
-        sliced = unconsolidated[-max_messages:]
 
-        # Drop leading non-user messages to avoid orphaned tool_result blocks
+    def add_raw_message(self, msg: dict[str, Any]) -> None:
-        for i, m in enumerate(sliced):
+        """Add a pre-formed message dict to the session, preserving all fields."""
-            if m.get("role") == "user":
+        stored = dict(msg)
-                sliced = sliced[i:]
+        if "timestamp" not in stored:
-                break
+            stored["timestamp"] = datetime.now().isoformat()
+        self.messages.append(stored)
+        self.updated_at = datetime.now()
 
-        out: list[dict[str, Any]] = []
+    # Fields that are valid in the Anthropic/OpenAI messages API.
-        for m in sliced:
+    # Everything else (timestamp, tools_used, etc.) is internal metadata.
-            entry: dict[str, Any] = {"role": m["role"], "content": m.get("content", "")}
+    _API_FIELDS = {"role", "content", "tool_calls", "tool_call_id", "name", "reasoning_content"}
-            for k in ("tool_calls", "tool_call_id", "name"):
+
-                if k in m:
+    def get_history(self) -> list[dict[str, Any]]:
-                    entry[k] = m[k]
+        """
-            out.append(entry)
+        Get full message history for LLM context.
-        return out
+
+        The server-side context editing API (clear_tool_uses_20250919) handles
+        trimming old tool chains safely at token thresholds, so we send the full
+        history and let the server decide what to drop.
+
+        Returns:
+            List of messages in LLM format (API-relevant fields only).
+        """
+        return [
+            {k: v for k, v in m.items() if k in self._API_FIELDS and v is not None}
+            for m in self.messages
+        ]
     
     def clear(self) -> None:
-        """Clear all messages and reset session to initial state."""
+        """Clear all messages in the session."""
         self.messages = []
-        self.last_consolidated = 0
         self.updated_at = datetime.now()
 
 
 class SessionManager:
     """
     Manages conversation sessions.
-
+    
     Sessions are stored as JSONL files in the sessions directory.
     """
-
+    
     def __init__(self, workspace: Path):
         self.workspace = workspace
-        self.sessions_dir = ensure_dir(self.workspace / "sessions")
+        self.sessions_dir = ensure_dir(Path.home() / ".nanobot" / "sessions")
-        self.legacy_sessions_dir = Path.home() / ".nanobot" / "sessions"
         self._cache: dict[str, Session] = {}
     
     def _get_session_path(self, key: str) -> Path:
         """Get the file path for a session."""
         safe_key = safe_filename(key.replace(":", "_"))
         return self.sessions_dir / f"{safe_key}.jsonl"
-
-    def _get_legacy_session_path(self, key: str) -> Path:
-        """Legacy global session path (~/.nanobot/sessions/)."""
-        safe_key = safe_filename(key.replace(":", "_"))
-        return self.legacy_sessions_dir / f"{safe_key}.jsonl"
     
     def get_or_create(self, key: str) -> Session:
         """
@@ -102,9 +97,11 @@ class SessionManager:
         Returns:
             The session.
         """
+        # Check cache
         if key in self._cache:
             return self._cache[key]
         
+        # Try to load from disk
         session = self._load(key)
         if session is None:
             session = Session(key=key)
@@ -115,72 +112,78 @@ class SessionManager:
     def _load(self, key: str) -> Session | None:
         """Load a session from disk."""
         path = self._get_session_path(key)
-        if not path.exists():
+        
-            legacy_path = self._get_legacy_session_path(key)
-            if legacy_path.exists():
-                try:
-                    shutil.move(str(legacy_path), str(path))
-                    logger.info("Migrated session {} from legacy path", key)
-                except Exception:
-                    logger.exception("Failed to migrate session {}", key)
-
         if not path.exists():
             return None
-
+        
         try:
             messages = []
             metadata = {}
             created_at = None
-            last_consolidated = 0
+            
-
+            with open(path) as f:
-            with open(path, encoding="utf-8") as f:
                 for line in f:
                     line = line.strip()
                     if not line:
                         continue
-
+                    
                     data = json.loads(line)
-
+                    
                     if data.get("_type") == "metadata":
                         metadata = data.get("metadata", {})
                         created_at = datetime.fromisoformat(data["created_at"]) if data.get("created_at") else None
-                        last_consolidated = data.get("last_consolidated", 0)
                     else:
                         messages.append(data)
-
+            
             return Session(
                 key=key,
                 messages=messages,
                 created_at=created_at or datetime.now(),
-                metadata=metadata,
+                metadata=metadata
-                last_consolidated=last_consolidated
             )
         except Exception as e:
-            logger.warning("Failed to load session {}: {}", key, e)
+            logger.warning(f"Failed to load session {key}: {e}")
             return None
     
     def save(self, session: Session) -> None:
         """Save a session to disk."""
         path = self._get_session_path(session.key)
-
+        
-        with open(path, "w", encoding="utf-8") as f:
+        with open(path, "w") as f:
+            # Write metadata first
             metadata_line = {
                 "_type": "metadata",
-                "key": session.key,
                 "created_at": session.created_at.isoformat(),
                 "updated_at": session.updated_at.isoformat(),
-                "metadata": session.metadata,
+                "metadata": session.metadata
-                "last_consolidated": session.last_consolidated
             }
-            f.write(json.dumps(metadata_line, ensure_ascii=False) + "\n")
+            f.write(json.dumps(metadata_line) + "\n")
+            
+            # Write messages
             for msg in session.messages:
-                f.write(json.dumps(msg, ensure_ascii=False) + "\n")
+                f.write(json.dumps(msg) + "\n")
-
+        
         self._cache[session.key] = session
     
-    def invalidate(self, key: str) -> None:
+    def delete(self, key: str) -> bool:
-        """Remove a session from the in-memory cache."""
+        """
+        Delete a session.
+        
+        Args:
+            key: Session key.
+        
+        Returns:
+            True if deleted, False if not found.
+        """
+        # Remove from cache
         self._cache.pop(key, None)
+        
+        # Remove file
+        path = self._get_session_path(key)
+        if path.exists():
+            path.unlink()
+            return True
+        return False
     
     def list_sessions(self) -> list[dict[str, Any]]:
         """
@@ -194,14 +197,13 @@ class SessionManager:
         for path in self.sessions_dir.glob("*.jsonl"):
             try:
                 # Read just the metadata line
-                with open(path, encoding="utf-8") as f:
+                with open(path) as f:
                     first_line = f.readline().strip()
                     if first_line:
                         data = json.loads(first_line)
                         if data.get("_type") == "metadata":
-                            key = data.get("key") or path.stem.replace("_", ":", 1)
                             sessions.append({
-                                "key": key,
+                                "key": path.stem.replace("_", ":"),
                                 "created_at": data.get("created_at"),
                                 "updated_at": data.get("updated_at"),
                                 "path": str(path)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "nanobot-ai"
-version = "0.1.4.post2"
+version = "0.1.3.post7"
 description = "A lightweight personal AI assistant framework"
 requires-python = ">=3.11"
 license = {text = "MIT"}
@@ -17,42 +17,34 @@ classifiers = [
 ]
 
 dependencies = [
-    "typer>=0.20.0,<1.0.0",
+    "typer>=0.9.0",
-    "litellm>=1.81.5,<2.0.0",
+    "litellm>=1.0.0",
-    "pydantic>=2.12.0,<3.0.0",
+    "pydantic>=2.0.0",
-    "pydantic-settings>=2.12.0,<3.0.0",
+    "pydantic-settings>=2.0.0",
-    "websockets>=16.0,<17.0",
+    "websockets>=12.0",
-    "websocket-client>=1.9.0,<2.0.0",
+    "websocket-client>=1.6.0",
-    "httpx>=0.28.0,<1.0.0",
+    "httpx[socks]>=0.25.0",
-    "oauth-cli-kit>=0.1.3,<1.0.0",
+    "loguru>=0.7.0",
-    "loguru>=0.7.3,<1.0.0",
+    "readability-lxml>=0.8.0",
-    "readability-lxml>=0.8.4,<1.0.0",
+    "rich>=13.0.0",
-    "rich>=14.0.0,<15.0.0",
+    "croniter>=2.0.0",
-    "croniter>=6.0.0,<7.0.0",
+    "dingtalk-stream>=0.4.0",
-    "dingtalk-stream>=0.24.0,<1.0.0",
+    "python-telegram-bot[socks]>=21.0",
-    "python-telegram-bot[socks]>=22.0,<23.0",
+    "lark-oapi>=1.0.0",
-    "lark-oapi>=1.5.0,<2.0.0",
+    "socksio>=1.0.0",
-    "socksio>=1.0.0,<2.0.0",
+    "python-socketio>=5.11.0",
-    "python-socketio>=5.16.0,<6.0.0",
+    "msgpack>=1.0.8",
-    "msgpack>=1.1.0,<2.0.0",
+    "slack-sdk>=3.26.0",
-    "slack-sdk>=3.39.0,<4.0.0",
+    "qq-botpy>=1.0.0",
-    "slackify-markdown>=0.2.0,<1.0.0",
+    "python-socks[asyncio]>=2.4.0",
-    "qq-botpy>=1.2.0,<2.0.0",
+    "prompt-toolkit>=3.0.0",
-    "python-socks[asyncio]>=2.8.0,<3.0.0",
+    "vncdotool>=1.0.0",
-    "prompt-toolkit>=3.0.50,<4.0.0",
-    "mcp>=1.26.0,<2.0.0",
-    "json-repair>=0.57.0,<1.0.0",
 ]
 
 [project.optional-dependencies]
-matrix = [
-    "matrix-nio[e2e]>=0.25.2",
-    "mistune>=3.0.0,<4.0.0",
-    "nh3>=0.2.17,<1.0.0",
-]
 dev = [
-    "pytest>=9.0.0,<10.0.0",
+    "pytest>=7.0.0",
-    "pytest-asyncio>=1.3.0,<2.0.0",
+    "pytest-asyncio>=0.21.0",
     "ruff>=0.1.0",
 ]
 
@@ -69,11 +61,10 @@ packages = ["nanobot"]
 [tool.hatch.build.targets.wheel.sources]
 "nanobot" = "nanobot"
 
-# Include non-Python files in skills and templates
+# Include non-Python files in skills
 [tool.hatch.build]
 include = [
     "nanobot/**/*.py",
-    "nanobot/templates/**/*.md",
     "nanobot/skills/**/*.md",
     "nanobot/skills/**/*.sh",
 ]

tests/test_agent_loop_metadata.py

@@ -0,0 +1,102 @@
+# tests/test_agent_loop_metadata.py
+import pytest
+from pathlib import Path
+from nanobot.agent.loop import AgentLoop
+from nanobot.bus.queue import MessageBus
+from nanobot.providers.base import LLMProvider, LLMResponse
+from unittest.mock import AsyncMock, MagicMock
+
+
+@pytest.mark.asyncio
+async def test_process_direct_passes_metadata():
+    """Test that process_direct passes metadata to InboundMessage."""
+    bus = MessageBus()
+    provider = MagicMock(spec=LLMProvider)
+    provider.chat = AsyncMock(return_value=LLMResponse(
+        content="test response",
+        tool_calls=[]
+    ))
+    provider.get_default_model = MagicMock(return_value="test-model")
+    provider.thinking_budget = 0
+
+    workspace = Path("/tmp/test-workspace")
+    workspace.mkdir(exist_ok=True)
+
+    loop = AgentLoop(bus=bus, provider=provider, workspace=workspace)
+
+    # Call with metadata
+    test_metadata = {"suppress_output": True, "test_key": "test_value"}
+    await loop.process_direct(
+        content="test message",
+        metadata=test_metadata
+    )
+
+    # Verify provider.chat was called
+    assert provider.chat.called
+    call_args = provider.chat.call_args
+    messages = call_args.kwargs["messages"]
+
+    # The user message should contain the content
+    # (We can't easily check InboundMessage directly, but we verify
+    # the flow worked by checking the session was created)
+    session = loop.sessions.get_or_create("cli:direct")
+    assert len(session.messages) > 0
+
+
+@pytest.mark.asyncio
+async def test_suppress_mode_adds_hidden_prefix():
+    """Test that suppress_output metadata adds [HIDDEN:signature] prefix."""
+    bus = MessageBus()
+    provider = MagicMock(spec=LLMProvider)
+    provider.chat = AsyncMock(return_value=LLMResponse(
+        content="This is the agent response",
+        tool_calls=[]
+    ))
+    provider.get_default_model = MagicMock(return_value="test-model")
+    provider.thinking_budget = 0
+
+    workspace = Path("/tmp/test-workspace")
+    workspace.mkdir(exist_ok=True)
+
+    loop = AgentLoop(bus=bus, provider=provider, workspace=workspace)
+
+    # Call with suppress_output=True
+    response = await loop.process_direct(
+        content="test message",
+        metadata={"suppress_output": True}
+    )
+
+    # Response content should have [HIDDEN:signature] prefix with 8-char hex signature
+    assert response.startswith("[HIDDEN:")
+    assert "]" in response
+    # Extract signature part between [HIDDEN: and ]
+    prefix_end = response.index("]")
+    signature = response[8:prefix_end]  # Skip "[HIDDEN:" to get signature
+    assert len(signature) == 8  # 8-character hex signature
+    assert all(c in "0123456789abcdef" for c in signature)  # Valid hex
+    assert "This is the agent response" in response
+
+
+@pytest.mark.asyncio
+async def test_normal_mode_no_hidden_prefix():
+    """Test that normal messages don't get [HIDDEN:signature] prefix."""
+    bus = MessageBus()
+    provider = MagicMock(spec=LLMProvider)
+    provider.chat = AsyncMock(return_value=LLMResponse(
+        content="Normal response",
+        tool_calls=[]
+    ))
+    provider.get_default_model = MagicMock(return_value="test-model")
+    provider.thinking_budget = 0
+
+    workspace = Path("/tmp/test-workspace")
+    workspace.mkdir(exist_ok=True)
+
+    loop = AgentLoop(bus=bus, provider=provider, workspace=workspace)
+
+    # Call without suppress_output
+    response = await loop.process_direct(content="test message")
+
+    # Response should NOT have [HIDDEN:signature] prefix
+    assert not response.startswith("[HIDDEN:")
+    assert response == "Normal response"

tests/test_agent_loop_tool_result.py

@@ -0,0 +1,262 @@
+"""Tests for agent loop handling of ToolResult and CLIResult objects."""
+
+import pytest
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+from nanobot.agent.loop import AgentLoop
+from nanobot.agent.tools.anthropic.base import ToolResult, CLIResult
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.providers.base import LLMResponse, ToolCallRequest
+
+
+@pytest.fixture
+def mock_provider():
+    """Create mock LLM provider."""
+    provider = MagicMock()
+    provider.chat = AsyncMock()
+    provider.thinking_budget = 0
+    return provider
+
+
+@pytest.fixture
+def mock_session_manager():
+    """Create mock session manager."""
+    session_mgr = MagicMock()
+    session_mgr.load = AsyncMock(return_value={
+        "messages": [],
+        "metadata": {},
+    })
+    session_mgr.save = AsyncMock()
+    return session_mgr
+
+
+@pytest.fixture
+def mock_bus():
+    """Create mock message bus."""
+    bus = MagicMock(spec=MessageBus)
+    bus.publish = AsyncMock()
+    return bus
+
+
+@pytest.fixture
+def agent_loop(mock_provider, mock_session_manager, mock_bus, tmp_path):
+    """Create agent loop for testing."""
+    return AgentLoop(
+        provider=mock_provider,
+        session_manager=mock_session_manager,
+        bus=mock_bus,
+        workspace=tmp_path,
+        max_iterations=5,
+    )
+
+
+@pytest.mark.asyncio
+async def test_tool_result_with_output(agent_loop, mock_provider):
+    """Test handling ToolResult with output field."""
+    # Mock LLM responses
+    mock_provider.chat.side_effect = [
+        # First call: request tool
+        LLMResponse(
+            content="Using tool",
+            tool_calls=[ToolCallRequest(id="call_1", name="test_tool", arguments={})],
+        ),
+        # Second call: final response
+        LLMResponse(content="Done"),
+    ]
+
+    # Mock tool that returns ToolResult
+    tool_result = ToolResult(output="Tool executed successfully")
+    agent_loop.tools.execute = AsyncMock(return_value=tool_result)
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    # Verify tool result was added to messages
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+
+    # Find the tool result message
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+    assert tool_msg["content"] == "Tool executed successfully"
+
+
+@pytest.mark.asyncio
+async def test_tool_result_with_error(agent_loop, mock_provider):
+    """Test handling ToolResult with error field."""
+    mock_provider.chat.side_effect = [
+        LLMResponse(
+            content="Using tool",
+            tool_calls=[ToolCallRequest(id="call_1", name="test_tool", arguments={})],
+        ),
+        LLMResponse(content="Error handled"),
+    ]
+
+    tool_result = ToolResult(error="Command failed: exit code 1")
+    agent_loop.tools.execute = AsyncMock(return_value=tool_result)
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+    assert "Error:" in tool_msg["content"]
+    assert "Command failed: exit code 1" in tool_msg["content"]
+
+
+@pytest.mark.asyncio
+async def test_tool_result_with_base64_image(agent_loop, mock_provider):
+    """Test handling ToolResult with base64_image field."""
+    mock_provider.chat.side_effect = [
+        LLMResponse(
+            content="Taking screenshot",
+            tool_calls=[ToolCallRequest(id="call_1", name="screenshot", arguments={})],
+        ),
+        LLMResponse(content="Screenshot analyzed"),
+    ]
+
+    tool_result = ToolResult(
+        output="Screenshot taken",
+        base64_image="iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
+    )
+    agent_loop.tools.execute = AsyncMock(return_value=tool_result)
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+
+    # Should contain both text and image
+    assert isinstance(tool_msg["content"], list)
+    assert len(tool_msg["content"]) == 2
+
+    # Text content
+    text_part = next(p for p in tool_msg["content"] if p["type"] == "text")
+    assert text_part["text"] == "Screenshot taken"
+
+    # Image content
+    image_part = next(p for p in tool_msg["content"] if p["type"] == "image")
+    assert image_part["source"]["type"] == "base64"
+    assert image_part["source"]["media_type"] == "image/png"
+    assert "iVBORw0KGgoAAAANS" in image_part["source"]["data"]
+
+
+@pytest.mark.asyncio
+async def test_cli_result_handling(agent_loop, mock_provider):
+    """Test handling CLIResult from text editor tools."""
+    mock_provider.chat.side_effect = [
+        LLMResponse(
+            content="Editing file",
+            tool_calls=[ToolCallRequest(id="call_1", name="edit", arguments={})],
+        ),
+        LLMResponse(content="File edited"),
+    ]
+
+    cli_result = CLIResult(
+        exit_code=0,
+        output="File updated successfully",
+        error="",
+    )
+    agent_loop.tools.execute = AsyncMock(return_value=cli_result)
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+    assert tool_msg["content"] == "File updated successfully"
+
+
+@pytest.mark.asyncio
+async def test_legacy_string_result(agent_loop, mock_provider):
+    """Test backward compatibility with string results from function tools."""
+    mock_provider.chat.side_effect = [
+        LLMResponse(
+            content="Using tool",
+            tool_calls=[ToolCallRequest(id="call_1", name="legacy_tool", arguments={})],
+        ),
+        LLMResponse(content="Done"),
+    ]
+
+    # Legacy tool returns plain string
+    agent_loop.tools.execute = AsyncMock(return_value="Plain text result")
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+    assert tool_msg["content"] == "Plain text result"
+
+
+@pytest.mark.asyncio
+async def test_tool_result_output_and_error(agent_loop, mock_provider):
+    """Test handling ToolResult with both output and error."""
+    mock_provider.chat.side_effect = [
+        LLMResponse(
+            content="Running command",
+            tool_calls=[ToolCallRequest(id="call_1", name="bash", arguments={})],
+        ),
+        LLMResponse(content="Handled"),
+    ]
+
+    tool_result = ToolResult(
+        output="Partial output before error",
+        error="Unexpected termination",
+    )
+    agent_loop.tools.execute = AsyncMock(return_value=tool_result)
+
+    message = InboundMessage(
+        channel="test",
+        chat_id="123",
+        sender_id="user1",
+        content="Test message",
+    )
+
+    response = await agent_loop._process_message(message)
+
+    calls = mock_provider.chat.call_args_list
+    second_call_messages = calls[1][1]["messages"]
+    tool_msg = next(m for m in second_call_messages if m.get("role") == "tool")
+
+    # Should contain both output and error
+    content = tool_msg["content"]
+    assert "Partial output before error" in content
+    assert "Error:" in content
+    assert "Unexpected termination" in content

tests/test_anthropic_base.py

@@ -0,0 +1,62 @@
+"""Tests for Anthropic native tool base classes."""
+
+import pytest
+from nanobot.agent.tools.anthropic.base import (
+    BaseAnthropicTool,
+    ToolResult,
+    CLIResult,
+    ToolError,
+)
+
+
+class DummyTool(BaseAnthropicTool):
+    """Test tool implementation."""
+    api_type = "test_20250227"
+    name = "test_tool"
+    beta_flag = "test-beta"
+
+    async def __call__(self, **kwargs):
+        return ToolResult(output="test output")
+
+    def to_params(self):
+        return {"type": self.api_type, "name": self.name}
+
+
+def test_tool_result_dataclass():
+    """Test ToolResult can be created with all fields."""
+    result = ToolResult(output="hello", error=None, base64_image=None, system="system message")
+    assert result.output == "hello"
+    assert result.error is None
+    assert result.base64_image is None
+    assert result.system == "system message"
+
+
+def test_cli_result_dataclass():
+    """Test CLIResult can be created with all fields."""
+    result = CLIResult(exit_code=0, output="command output", error="")
+    assert result.output == "command output"
+    assert result.exit_code == 0
+    assert result.error == ""
+
+
+def test_tool_error_exception():
+    """Test ToolError can be raised and caught."""
+    with pytest.raises(ToolError):
+        raise ToolError("Test error message")
+
+
+def test_base_anthropic_tool_to_params():
+    """Test tool returns correct params format."""
+    tool = DummyTool()
+    params = tool.to_params()
+    assert params["type"] == "test_20250227"
+    assert params["name"] == "test_tool"
+
+
+@pytest.mark.asyncio
+async def test_base_anthropic_tool_call():
+    """Test tool can be called and returns ToolResult."""
+    tool = DummyTool()
+    result = await tool()
+    assert isinstance(result, ToolResult)
+    assert result.output == "test output"

tests/test_anthropic_oauth.py

@@ -0,0 +1,88 @@
+"""Test Anthropic OAuth provider."""
+import pytest
+from unittest.mock import AsyncMock, patch, MagicMock
+from nanobot.providers.anthropic_oauth import AnthropicOAuthProvider
+from nanobot.providers.base import LLMResponse
+
+
+@pytest.fixture
+def provider():
+    """Create provider with test OAuth token."""
+    return AnthropicOAuthProvider(
+        oauth_token="sk-ant-oat01-test-token",
+        default_model="claude-opus-4-5"
+    )
+
+
+def test_provider_init(provider):
+    """Provider should initialize with OAuth token."""
+    assert provider.oauth_token == "sk-ant-oat01-test-token"
+    assert provider.default_model == "claude-opus-4-5"
+
+
+def test_provider_uses_bearer_auth(provider):
+    """Provider should use Bearer auth, not x-api-key."""
+    headers = provider._get_headers()
+    assert "Authorization" in headers
+    assert headers["Authorization"].startswith("Bearer ")
+    assert "x-api-key" not in headers
+
+
+@pytest.mark.asyncio
+async def test_chat_prepends_system_prompt(provider):
+    """Chat should prepend Claude Code identity to system prompt."""
+    messages = [{"role": "user", "content": "Hello"}]
+
+    with patch.object(provider, "_make_request", new_callable=AsyncMock) as mock:
+        mock.return_value = {"content": [{"type": "text", "text": "Hi"}], "stop_reason": "end_turn"}
+        await provider.chat(messages)
+
+        call_args = mock.call_args
+        system = call_args[1]["system"]
+        assert "Claude Code" in system
+
+
+def test_parse_response_text(provider):
+    """Should parse text response correctly."""
+    response = {
+        "content": [{"type": "text", "text": "Hello world"}],
+        "stop_reason": "end_turn",
+        "usage": {"input_tokens": 10, "output_tokens": 5},
+    }
+    result = provider._parse_response(response)
+    assert result.content == "Hello world"
+    assert result.finish_reason == "end_turn"
+    assert result.usage["prompt_tokens"] == 10
+
+
+def test_parse_response_tool_calls(provider):
+    """Should parse tool call response correctly."""
+    response = {
+        "content": [
+            {"type": "tool_use", "id": "call_1", "name": "read_file", "input": {"path": "/tmp/test"}}
+        ],
+        "stop_reason": "tool_use",
+        "usage": {"input_tokens": 10, "output_tokens": 5},
+    }
+    result = provider._parse_response(response)
+    assert len(result.tool_calls) == 1
+    assert result.tool_calls[0].name == "read_file"
+    assert result.tool_calls[0].arguments == {"path": "/tmp/test"}
+
+
+def test_convert_tools_to_anthropic(provider):
+    """Should convert OpenAI-format tools to Anthropic format."""
+    openai_tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "read_file",
+                "description": "Read a file",
+                "parameters": {"type": "object", "properties": {"path": {"type": "string"}}}
+            }
+        }
+    ]
+    anthropic_tools = provider._convert_tools_to_anthropic(openai_tools)
+    assert len(anthropic_tools) == 1
+    assert anthropic_tools[0]["name"] == "read_file"
+    assert "input_schema" in anthropic_tools[0]

tests/test_anthropic_oauth_native_tools.py

@@ -0,0 +1,74 @@
+"""Tests for native tool support in AnthropicOAuthProvider."""
+
+from nanobot.providers.anthropic_oauth import AnthropicOAuthProvider
+
+
+def test_convert_tools_passes_through_native_tools():
+    """Test that native tool format is passed through unchanged."""
+    provider = AnthropicOAuthProvider(oauth_token="test", thinking_budget=0)
+
+    tools = [
+        {
+            "type": "bash_20250124",
+            "name": "bash"
+        }
+    ]
+
+    result = provider._convert_tools_to_anthropic(tools)
+    assert len(result) == 1
+    assert result[0]["type"] == "bash_20250124"
+    assert result[0]["name"] == "bash"
+
+
+def test_convert_tools_handles_mixed_tool_types():
+    """Test conversion of both function and native tools."""
+    provider = AnthropicOAuthProvider(oauth_token="test", thinking_budget=0)
+
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "custom_tool",
+                "description": "A custom tool",
+                "parameters": {"type": "object", "properties": {"arg": {"type": "string"}}}
+            }
+        },
+        {
+            "type": "bash_20250124",
+            "name": "bash"
+        }
+    ]
+
+    result = provider._convert_tools_to_anthropic(tools)
+    assert len(result) == 2
+
+    # Function tool gets converted
+    assert result[0]["name"] == "custom_tool"
+    assert result[0]["description"] == "A custom tool"
+    assert "input_schema" in result[0]
+
+    # Native tool passed through
+    assert result[1]["type"] == "bash_20250124"
+    assert result[1]["name"] == "bash"
+
+
+def test_convert_tools_preserves_function_tool_conversion():
+    """Test that existing function tool conversion still works."""
+    provider = AnthropicOAuthProvider(oauth_token="test", thinking_budget=0)
+
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "test",
+                "description": "desc",
+                "parameters": {"type": "object"}
+            }
+        }
+    ]
+
+    result = provider._convert_tools_to_anthropic(tools)
+    assert len(result) == 1
+    assert result[0]["name"] == "test"
+    assert result[0]["description"] == "desc"
+    assert result[0]["input_schema"] == {"type": "object"}

tests/test_bash_tool.py

@@ -0,0 +1,56 @@
+"""Tests for BashTool20250124."""
+
+import pytest
+from nanobot.agent.tools.anthropic.bash import BashTool20250124
+from nanobot.agent.tools.anthropic.base import ToolResult
+
+
+@pytest.mark.asyncio
+async def test_bash_tool_simple_command():
+    """Test bash tool executes simple command."""
+    tool = BashTool20250124()
+    result = await tool(command="echo hello")
+
+    assert isinstance(result, ToolResult)
+    assert "hello" in result.output
+    assert result.error is None
+
+
+@pytest.mark.asyncio
+async def test_bash_tool_persistent_session():
+    """Test bash tool maintains session across calls."""
+    tool = BashTool20250124()
+
+    # Set variable
+    result1 = await tool(command="export TEST_VAR=42")
+    assert result1.error is None
+
+    # Read variable (should persist)
+    result2 = await tool(command="echo $TEST_VAR")
+    assert "42" in result2.output
+
+
+@pytest.mark.asyncio
+async def test_bash_tool_restart():
+    """Test bash tool can restart session."""
+    tool = BashTool20250124()
+
+    # Set variable
+    await tool(command="export TEST_VAR=42")
+
+    # Restart
+    result = await tool(restart=True)
+    assert "restarted" in result.output.lower()
+
+    # Variable should be gone
+    result2 = await tool(command="echo $TEST_VAR")
+    assert "42" not in result2.output
+
+
+def test_bash_tool_to_params():
+    """Test bash tool returns correct params."""
+    tool = BashTool20250124()
+    params = tool.to_params()
+
+    assert params["type"] == "bash_20250124"
+    assert params["name"] == "bash"

tests/test_beta_flags.py

@@ -0,0 +1,103 @@
+"""Tests for beta flag collection from native tools."""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from nanobot.providers.anthropic_oauth import AnthropicOAuthProvider
+
+
+@pytest.mark.asyncio
+async def test_beta_flags_collected_from_tools():
+    """Test that beta flags are extracted from tool objects."""
+    provider = AnthropicOAuthProvider(oauth_token="test", thinking_budget=0)
+
+    # Mock tool objects with beta_flag attribute and to_params method
+    class MockTool:
+        def __init__(self, beta_flag):
+            self.beta_flag = beta_flag
+
+        def to_params(self):
+            return {"type": "bash_20250124", "name": "bash"}
+
+    tools_with_flags = [
+        MockTool("computer-use-2025-11-24"),
+        MockTool("computer-use-2025-11-24"),  # Duplicate should be deduplicated
+    ]
+
+    # We need to test this via the actual API call flow
+    # Mock httpx client
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {
+        "id": "msg_test",
+        "type": "message",
+        "role": "assistant",
+        "content": [{"type": "text", "text": "test"}],
+        "model": "claude-opus-4",
+        "stop_reason": "end_turn",
+        "usage": {"input_tokens": 10, "output_tokens": 10}
+    }
+
+    with patch.object(provider, '_client') as mock_client:
+        mock_client.post = AsyncMock(return_value=mock_response)
+
+        # Call with messages and tools
+        await provider.chat(
+            messages=[{"role": "user", "content": "test"}],
+            model="claude-opus-4",
+            max_tokens=100,
+            tools=tools_with_flags
+        )
+
+        # Check that beta flag was added to headers
+        call_args = mock_client.post.call_args
+        headers = call_args[1]["headers"]
+        assert "anthropic-beta" in headers
+        assert headers["anthropic-beta"] == "computer-use-2025-11-24"
+
+
+@pytest.mark.asyncio
+async def test_multiple_beta_flags_joined():
+    """Test that multiple unique beta flags are joined with commas."""
+    provider = AnthropicOAuthProvider(oauth_token="test", thinking_budget=0)
+
+    class MockTool:
+        def __init__(self, beta_flag):
+            self.beta_flag = beta_flag
+
+        def to_params(self):
+            return {"type": "bash_20250124", "name": "bash"}
+
+    tools_with_flags = [
+        MockTool("flag-a"),
+        MockTool("flag-b"),
+    ]
+
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {
+        "id": "msg_test",
+        "type": "message",
+        "role": "assistant",
+        "content": [{"type": "text", "text": "test"}],
+        "model": "claude-opus-4",
+        "stop_reason": "end_turn",
+        "usage": {"input_tokens": 10, "output_tokens": 10}
+    }
+
+    with patch.object(provider, '_client') as mock_client:
+        mock_client.post = AsyncMock(return_value=mock_response)
+
+        await provider.chat(
+            messages=[{"role": "user", "content": "test"}],
+            model="claude-opus-4",
+            max_tokens=100,
+            tools=tools_with_flags
+        )
+
+        call_args = mock_client.post.call_args
+        headers = call_args[1]["headers"]
+        assert "anthropic-beta" in headers
+        # Should be sorted alphabetically and joined with comma
+        assert headers["anthropic-beta"] == "flag-a,flag-b"

tests/test_bus_correlation.py

@@ -0,0 +1,59 @@
+"""Tests for bus-level correlation (request-response via Futures)."""
+
+import asyncio
+import pytest
+from nanobot.bus.queue import MessageBus
+from nanobot.bus.events import OutboundMessage
+
+
+@pytest.fixture
+def bus():
+    return MessageBus()
+
+
+@pytest.mark.asyncio
+async def test_register_correlation_returns_future(bus):
+    future = bus.register_correlation("test-id-1")
+    assert isinstance(future, asyncio.Future)
+    assert not future.done()
+
+
+@pytest.mark.asyncio
+async def test_resolve_correlation_sets_future_result(bus):
+    future = bus.register_correlation("test-id-1")
+    msg = OutboundMessage(channel="hook", chat_id="test", content="hello", metadata={"correlation_id": "test-id-1"})
+    bus.resolve_correlation(msg)
+    assert future.done()
+    assert future.result() == "hello"
+
+
+@pytest.mark.asyncio
+async def test_resolve_correlation_no_match_is_noop(bus):
+    future = bus.register_correlation("test-id-1")
+    msg = OutboundMessage(channel="hook", chat_id="test", content="hello", metadata={"correlation_id": "other-id"})
+    bus.resolve_correlation(msg)
+    assert not future.done()
+
+
+@pytest.mark.asyncio
+async def test_resolve_correlation_no_metadata_is_noop(bus):
+    future = bus.register_correlation("test-id-1")
+    msg = OutboundMessage(channel="hook", chat_id="test", content="hello")
+    bus.resolve_correlation(msg)
+    assert not future.done()
+
+
+@pytest.mark.asyncio
+async def test_resolve_correlation_cleans_up_store(bus):
+    future = bus.register_correlation("test-id-1")
+    msg = OutboundMessage(channel="hook", chat_id="test", content="hello", metadata={"correlation_id": "test-id-1"})
+    bus.resolve_correlation(msg)
+    assert "test-id-1" not in bus._correlation_store
+
+
+@pytest.mark.asyncio
+async def test_cancel_correlation(bus):
+    future = bus.register_correlation("test-id-1")
+    bus.cancel_correlation("test-id-1")
+    assert "test-id-1" not in bus._correlation_store
+    assert future.cancelled()

tests/test_cli_oauth.py

@@ -0,0 +1,55 @@
+"""Test OAuth CLI commands."""
+import pytest
+import tempfile
+from pathlib import Path
+from typer.testing import CliRunner
+from nanobot.cli.oauth import oauth_app
+
+
+@pytest.fixture
+def runner():
+    return CliRunner()
+
+
+def test_oauth_login_help(runner):
+    """Login command should have help text."""
+    result = runner.invoke(oauth_app, ["login", "--help"])
+    assert result.exit_code == 0
+    assert "token" in result.output.lower()
+
+
+def test_oauth_status_no_credentials(runner, tmp_path, monkeypatch):
+    """Status should show no credentials when none exist."""
+    monkeypatch.setenv("HOME", str(tmp_path))
+    result = runner.invoke(oauth_app, ["status"])
+    assert result.exit_code == 0
+    assert "No OAuth credentials" in result.output
+
+
+def test_oauth_login_and_status(runner, tmp_path, monkeypatch):
+    """Login should save credentials, status should show them."""
+    monkeypatch.setenv("HOME", str(tmp_path))
+    result = runner.invoke(oauth_app, ["login", "--token", "sk-ant-oat01-test-xxx"])
+    assert result.exit_code == 0
+    assert "Successfully saved" in result.output
+
+    result = runner.invoke(oauth_app, ["status"])
+    assert result.exit_code == 0
+    assert "sk-ant-oat01-test-x" in result.output
+
+
+def test_oauth_logout(runner, tmp_path, monkeypatch):
+    """Logout should remove credentials."""
+    monkeypatch.setenv("HOME", str(tmp_path))
+    runner.invoke(oauth_app, ["login", "--token", "sk-ant-oat01-test-xxx"])
+    result = runner.invoke(oauth_app, ["logout"])
+    assert result.exit_code == 0
+    assert "Removed" in result.output
+
+
+def test_oauth_login_invalid_token(runner, tmp_path, monkeypatch):
+    """Login should reject non-OAuth tokens."""
+    monkeypatch.setenv("HOME", str(tmp_path))
+    result = runner.invoke(oauth_app, ["login", "--token", "sk-ant-api03-regular"])
+    assert result.exit_code == 0
+    assert "Invalid token" in result.output

tests/test_computer_tool.py

@@ -0,0 +1,82 @@
+"""Tests for ComputerTool20251124."""
+
+import pytest
+from unittest.mock import AsyncMock, patch, MagicMock
+from nanobot.agent.tools.anthropic.computer import ComputerTool20251124
+from nanobot.agent.tools.anthropic.base import ToolResult
+
+
+@pytest.mark.asyncio
+async def test_computer_tool_screenshot():
+    """Test computer tool can take screenshot."""
+    tool = ComputerTool20251124(vnc_host="localhost", vnc_port=5900)
+
+    # Mock VNC client
+    with patch('nanobot.agent.tools.anthropic.computer.VNCDoToolClient') as mock_vnc:
+        mock_client = AsyncMock()
+        mock_client.captureScreen = AsyncMock(return_value=b"fake_png_data")
+
+        # Set up async context manager
+        mock_context = MagicMock()
+        mock_context.__aenter__ = AsyncMock(return_value=mock_client)
+        mock_context.__aexit__ = AsyncMock(return_value=None)
+        mock_vnc.create = MagicMock(return_value=mock_context)
+
+        result = await tool(action="screenshot")
+
+        assert isinstance(result, ToolResult)
+        assert result.base64_image is not None
+        assert len(result.base64_image) > 0
+
+
+@pytest.mark.asyncio
+async def test_computer_tool_mouse_move():
+    """Test computer tool can move mouse."""
+    tool = ComputerTool20251124(vnc_host="localhost", vnc_port=5900)
+
+    with patch('nanobot.agent.tools.anthropic.computer.VNCDoToolClient') as mock_vnc:
+        mock_client = AsyncMock()
+        mock_client.mouseMove = AsyncMock()
+
+        # Set up async context manager
+        mock_context = MagicMock()
+        mock_context.__aenter__ = AsyncMock(return_value=mock_client)
+        mock_context.__aexit__ = AsyncMock(return_value=None)
+        mock_vnc.create = MagicMock(return_value=mock_context)
+
+        result = await tool(action="mouse_move", coordinate=[100, 200])
+
+        assert isinstance(result, ToolResult)
+        assert result.error is None
+        mock_client.mouseMove.assert_called_once_with(100, 200)
+
+
+@pytest.mark.asyncio
+async def test_computer_tool_key():
+    """Test computer tool can press keys."""
+    tool = ComputerTool20251124(vnc_host="localhost", vnc_port=5900)
+
+    with patch('nanobot.agent.tools.anthropic.computer.VNCDoToolClient') as mock_vnc:
+        mock_client = AsyncMock()
+        mock_client.keyPress = AsyncMock()
+
+        # Set up async context manager
+        mock_context = MagicMock()
+        mock_context.__aenter__ = AsyncMock(return_value=mock_client)
+        mock_context.__aexit__ = AsyncMock(return_value=None)
+        mock_vnc.create = MagicMock(return_value=mock_context)
+
+        result = await tool(action="key", text="Return")
+
+        assert isinstance(result, ToolResult)
+        assert result.error is None
+        mock_client.keyPress.assert_called_once_with("Return")
+
+
+def test_computer_tool_to_params():
+    """Test computer tool returns correct params."""
+    tool = ComputerTool20251124(vnc_host="localhost", vnc_port=5900)
+    params = tool.to_params()
+
+    assert params["type"] == "computer_20251124"
+    assert params["name"] == "computer"

tests/test_config_oauth_integration.py

@@ -0,0 +1,65 @@
+"""Test OAuth store integration with config loading."""
+import json
+import pytest
+import tempfile
+from pathlib import Path
+from nanobot.config.loader import load_config
+from nanobot.config.oauth_store import OAuthStore
+from nanobot.config.schema import OAuthCredentials
+
+
+def test_oauth_token_injected_into_config(tmp_path, monkeypatch):
+    """OAuth token from store should be injected into provider api_key."""
+    # Create a minimal config file (no api key set)
+    config_path = tmp_path / "config.json"
+    config_path.write_text(json.dumps({
+        "agents": {"defaults": {"model": "anthropic/claude-opus-4-5"}},
+        "providers": {"anthropic": {"apiKey": ""}}
+    }))
+
+    # Save OAuth credentials
+    store = OAuthStore(tmp_path)
+    creds = OAuthCredentials(access_token="sk-ant-oat01-test-inject")
+    store.save("anthropic", creds)
+
+    # Monkeypatch get_config_path to use our tmp dir
+    monkeypatch.setattr("nanobot.config.loader.get_config_path", lambda: config_path)
+    # Monkeypatch the OAuth store path
+    monkeypatch.setattr("nanobot.config.loader._get_oauth_store_dir", lambda: tmp_path)
+
+    config = load_config(config_path)
+
+    assert config.providers.anthropic.api_key == "sk-ant-oat01-test-inject"
+
+
+def test_config_without_oauth_unchanged(tmp_path, monkeypatch):
+    """Config without OAuth store should load normally."""
+    config_path = tmp_path / "config.json"
+    config_path.write_text(json.dumps({
+        "providers": {"anthropic": {"apiKey": "sk-ant-api03-regular"}}
+    }))
+
+    monkeypatch.setattr("nanobot.config.loader._get_oauth_store_dir", lambda: tmp_path / "nonexistent")
+
+    config = load_config(config_path)
+
+    assert config.providers.anthropic.api_key == "sk-ant-api03-regular"
+
+
+def test_oauth_does_not_overwrite_existing_key(tmp_path, monkeypatch):
+    """If user already has an API key, OAuth should still override (OAuth takes priority)."""
+    config_path = tmp_path / "config.json"
+    config_path.write_text(json.dumps({
+        "providers": {"anthropic": {"apiKey": "sk-ant-api03-existing"}}
+    }))
+
+    store = OAuthStore(tmp_path)
+    creds = OAuthCredentials(access_token="sk-ant-oat01-oauth-wins")
+    store.save("anthropic", creds)
+
+    monkeypatch.setattr("nanobot.config.loader._get_oauth_store_dir", lambda: tmp_path)
+
+    config = load_config(config_path)
+
+    # OAuth token takes priority over existing API key
+    assert config.providers.anthropic.api_key == "sk-ant-oat01-oauth-wins"

tests/test_edit_tool.py

@@ -0,0 +1,116 @@
+"""Tests for EditTool20250728."""
+
+import pytest
+from pathlib import Path
+from nanobot.agent.tools.anthropic.edit import EditTool20250728
+from nanobot.agent.tools.anthropic.base import CLIResult
+
+
+@pytest.fixture
+def edit_tool():
+    """Create an EditTool20250728 instance."""
+    return EditTool20250728()
+
+
+@pytest.fixture
+def temp_file(tmp_path):
+    """Create a temporary file with some content."""
+    file_path = tmp_path / "test.txt"
+    file_path.write_text("line 1\nline 2\nline 3\n")
+    return file_path
+
+
+@pytest.mark.asyncio
+async def test_view_command(edit_tool, temp_file):
+    """Test viewing a file with line numbers."""
+    result = await edit_tool(
+        command="view",
+        path=str(temp_file)
+    )
+    assert result.output is not None
+    assert "1|line 1" in result.output
+    assert "2|line 2" in result.output
+    assert "3|line 3" in result.output
+
+
+@pytest.mark.asyncio
+async def test_create_command(edit_tool, tmp_path):
+    """Test creating a new file."""
+    new_file = tmp_path / "new.txt"
+    result = await edit_tool(
+        command="create",
+        path=str(new_file),
+        file_text="Hello\nWorld\n"
+    )
+    assert result.exit_code == 0
+    assert new_file.exists()
+    assert new_file.read_text() == "Hello\nWorld\n"
+
+
+@pytest.mark.asyncio
+async def test_str_replace_command(edit_tool, temp_file):
+    """Test replacing a unique string."""
+    result = await edit_tool(
+        command="str_replace",
+        path=str(temp_file),
+        old_str="line 2",
+        new_str="LINE TWO"
+    )
+    assert result.exit_code == 0
+    content = temp_file.read_text()
+    assert "LINE TWO" in content
+    assert "line 2" not in content
+
+
+@pytest.mark.asyncio
+async def test_str_replace_non_unique(edit_tool, temp_file):
+    """Test that str_replace fails on non-unique match."""
+    # Write content with duplicate "line"
+    temp_file.write_text("line 1\nline 2\nline 3\n")
+    result = await edit_tool(
+        command="str_replace",
+        path=str(temp_file),
+        old_str="line",  # This appears 3 times
+        new_str="LINE"
+    )
+    assert result.exit_code == 1
+    assert "must match exactly once" in result.error.lower()
+
+
+@pytest.mark.asyncio
+async def test_insert_command(edit_tool, temp_file):
+    """Test inserting text at a specific line."""
+    result = await edit_tool(
+        command="insert",
+        path=str(temp_file),
+        insert_line=1,
+        new_str="inserted line\n"
+    )
+    assert result.exit_code == 0
+    content = temp_file.read_text()
+    lines = content.splitlines()
+    assert lines[1] == "inserted line"
+
+
+@pytest.mark.asyncio
+async def test_edit_tool_requires_absolute_path():
+    """Test edit tool rejects relative paths."""
+    tool = EditTool20250728()
+
+    result = await tool(
+        command="view",
+        path="relative/path.txt"
+    )
+
+    assert isinstance(result, CLIResult)
+    assert result.exit_code == 1
+    assert "absolute" in result.error.lower()
+
+
+def test_edit_tool_to_params():
+    """Test edit tool returns correct params."""
+    tool = EditTool20250728()
+    params = tool.to_params()
+
+    assert params["type"] == "text_editor_20250728"
+    assert params["name"] == "str_replace_editor"

tests/test_heartbeat_idle.py

@@ -0,0 +1,95 @@
+# tests/test_heartbeat_idle.py
+from datetime import datetime, timedelta
+from pathlib import Path
+
+import pytest
+
+from nanobot.heartbeat.service import HeartbeatService
+from nanobot.session.manager import SessionManager
+
+
+@pytest.mark.asyncio
+async def test_heartbeat_skips_when_user_active():
+    """Test that heartbeat doesn't trigger if user messaged recently."""
+    workspace = Path("/tmp/test-heartbeat")
+    workspace.mkdir(exist_ok=True)
+
+    # Create session with recent user message
+    sessions = SessionManager(workspace)
+    session = sessions.get_or_create("telegram:239824268")
+    session.add_message("user", "Recent message")
+    sessions.save(session)
+
+    # Create heartbeat callback
+    callback_called = False
+    async def on_heartbeat(prompt, metadata=None):
+        nonlocal callback_called
+        callback_called = True
+        return "response"
+
+    # Create heartbeat service
+    service = HeartbeatService(
+        workspace=workspace,
+        on_heartbeat=on_heartbeat,
+        interval_s=1,  # Short interval for testing
+        enabled=True,
+        session_manager=sessions,
+        target_session_key="telegram:239824268"
+    )
+
+    # Trigger heartbeat
+    await service._tick()
+
+    # Callback should NOT have been called (user was active recently)
+    assert not callback_called
+
+
+@pytest.mark.asyncio
+async def test_heartbeat_triggers_when_user_idle():
+    """Test that heartbeat triggers after 30min of inactivity."""
+    workspace = Path("/tmp/test-heartbeat")
+    workspace.mkdir(exist_ok=True)
+
+    # Create HEARTBEAT.md with content
+    heartbeat_file = workspace / "HEARTBEAT.md"
+    heartbeat_file.write_text("# Tasks\n- Check something\n")
+
+    # Create session with old user message (>30min ago)
+    sessions = SessionManager(workspace)
+    session = sessions.get_or_create("telegram:239824268")
+
+    # Manually set old timestamp
+    old_timestamp = (datetime.now() - timedelta(minutes=31)).isoformat()
+    session.messages.append({
+        "role": "user",
+        "content": "Old message",
+        "timestamp": old_timestamp
+    })
+    sessions.save(session)
+
+    # Create heartbeat callback
+    callback_called = False
+    callback_metadata = None
+
+    async def on_heartbeat(prompt, metadata=None):
+        nonlocal callback_called, callback_metadata
+        callback_called = True
+        callback_metadata = metadata
+        return "response"
+
+    # Create heartbeat service
+    service = HeartbeatService(
+        workspace=workspace,
+        on_heartbeat=on_heartbeat,
+        interval_s=1,
+        enabled=True,
+        session_manager=sessions,
+        target_session_key="telegram:239824268"
+    )
+
+    # Trigger heartbeat
+    await service._tick()
+
+    # Callback SHOULD have been called (user idle for >30min)
+    assert callback_called
+    assert callback_metadata == {"suppress_output": True}

tests/test_heartbeat_idle_detection.py

@@ -0,0 +1,146 @@
+# tests/test_heartbeat_idle_detection.py
+"""Tests for heartbeat idle detection with sender_id filtering."""
+import pytest
+from datetime import datetime, timedelta
+from pathlib import Path
+from nanobot.heartbeat.service import HeartbeatService
+from nanobot.session.manager import Session, SessionManager
+
+
+@pytest.mark.asyncio
+async def test_idle_detection_ignores_system_messages():
+    """Test that heartbeat only counts real user messages for idle detection."""
+    # Create session manager and session
+    session_manager = SessionManager(workspace=Path("/tmp/test-heartbeat"))
+    session = session_manager.get_or_create("telegram:239824268")
+
+    # Add a real user message 45 minutes ago
+    real_user_time = datetime.now() - timedelta(minutes=45)
+    session.add_message(
+        "user",
+        "This is a real user message",
+        sender_id="239824268|testuser",
+        timestamp=real_user_time.isoformat()
+    )
+
+    # Add a heartbeat system message 10 minutes ago (should be ignored)
+    heartbeat_time = datetime.now() - timedelta(minutes=10)
+    session.add_message(
+        "user",
+        "Read HEARTBEAT.md...",
+        sender_id="user",
+        timestamp=heartbeat_time.isoformat()
+    )
+
+    # Add an assistant response
+    session.add_message("assistant", "Response to heartbeat")
+
+    # Create heartbeat service with 30 minute idle threshold
+    heartbeat = HeartbeatService(
+        workspace=Path("/tmp/test-heartbeat"),
+        session_manager=session_manager,
+        target_session_key="telegram:239824268",
+        idle_threshold_s=30 * 60,  # 30 minutes
+        interval_s=30 * 60,
+        enabled=False  # Don't actually start the loop
+    )
+
+    # Manually check idle logic (replicate _tick logic)
+    session = session_manager.get_or_create("telegram:239824268")
+
+    # Find last user message timestamp (should find the 45-minute-old message, not the 10-minute-old one)
+    last_user_timestamp = None
+    for msg in reversed(session.messages):
+        if msg.get("role") == "user":
+            sender_id = msg.get("sender_id")
+            if sender_id == "user":
+                continue
+            last_user_timestamp = msg.get("timestamp")
+            break
+
+    assert last_user_timestamp is not None
+    last_dt = datetime.fromisoformat(last_user_timestamp)
+    elapsed = (datetime.now() - last_dt).total_seconds()
+
+    # Should detect user is idle (45 minutes > 30 minute threshold)
+    assert elapsed >= 30 * 60, f"Expected idle (45min), but elapsed={elapsed/60:.1f}min"
+    # Should NOT be 10 minutes (heartbeat message was ignored)
+    assert elapsed >= 40 * 60, f"Heartbeat message was not ignored, elapsed={elapsed/60:.1f}min"
+
+
+@pytest.mark.asyncio
+async def test_idle_detection_counts_real_user_messages():
+    """Test that heartbeat correctly identifies when user is active."""
+    # Create session manager and session
+    session_manager = SessionManager(workspace=Path("/tmp/test-heartbeat"))
+    session = session_manager.get_or_create("telegram:239824268")
+
+    # Add a real user message 10 minutes ago (recent activity)
+    real_user_time = datetime.now() - timedelta(minutes=10)
+    session.add_message(
+        "user",
+        "This is a recent user message",
+        sender_id="239824268|testuser",
+        timestamp=real_user_time.isoformat()
+    )
+
+    # Create heartbeat service with 30 minute idle threshold
+    heartbeat = HeartbeatService(
+        workspace=Path("/tmp/test-heartbeat"),
+        session_manager=session_manager,
+        target_session_key="telegram:239824268",
+        idle_threshold_s=30 * 60,  # 30 minutes
+        interval_s=30 * 60,
+        enabled=False
+    )
+
+    # Find last user message timestamp
+    session = session_manager.get_or_create("telegram:239824268")
+    last_user_timestamp = None
+    for msg in reversed(session.messages):
+        if msg.get("role") == "user":
+            sender_id = msg.get("sender_id")
+            if sender_id == "user":
+                continue
+            last_user_timestamp = msg.get("timestamp")
+            break
+
+    assert last_user_timestamp is not None
+    last_dt = datetime.fromisoformat(last_user_timestamp)
+    elapsed = (datetime.now() - last_dt).total_seconds()
+
+    # Should detect user is active (10 minutes < 30 minute threshold)
+    assert elapsed < 30 * 60, f"Expected active (10min), but elapsed={elapsed/60:.1f}min"
+
+
+@pytest.mark.asyncio
+async def test_backwards_compat_messages_without_sender_id():
+    """Test that old messages without sender_id are treated as real user messages."""
+    # Create session manager and session
+    session_manager = SessionManager(workspace=Path("/tmp/test-heartbeat"))
+    session = session_manager.get_or_create("telegram:239824268")
+
+    # Add an old message without sender_id (backwards compat)
+    old_time = datetime.now() - timedelta(minutes=20)
+    session.add_message(
+        "user",
+        "Old message without sender_id",
+        timestamp=old_time.isoformat()
+    )
+
+    # Find last user message timestamp (should find the old message)
+    last_user_timestamp = None
+    for msg in reversed(session.messages):
+        if msg.get("role") == "user":
+            sender_id = msg.get("sender_id")
+            if sender_id == "user":
+                continue
+            last_user_timestamp = msg.get("timestamp")
+            break
+
+    assert last_user_timestamp is not None
+    last_dt = datetime.fromisoformat(last_user_timestamp)
+    elapsed = (datetime.now() - last_dt).total_seconds()
+
+    # Should accept old message (backwards compat)
+    assert elapsed < 25 * 60, f"Old message not counted, elapsed={elapsed/60:.1f}min"

tests/test_hook_channel.py

@@ -0,0 +1,37 @@
+"""Tests for the hook channel."""
+
+import pytest
+from unittest.mock import MagicMock
+from nanobot.channels.hook import HookChannel
+from nanobot.bus.queue import MessageBus
+from nanobot.bus.events import OutboundMessage
+
+
+@pytest.fixture
+def bus():
+    return MessageBus()
+
+
+def test_hook_channel_name():
+    bus = MessageBus()
+    channel = HookChannel(bus)
+    assert channel.name == "hook"
+
+
+@pytest.mark.asyncio
+async def test_hook_channel_send_is_noop():
+    """send() should not raise and should not do anything."""
+    bus = MessageBus()
+    channel = HookChannel(bus)
+    msg = OutboundMessage(channel="hook", chat_id="test", content="hello")
+    await channel.send(msg)  # Should not raise
+
+
+@pytest.mark.asyncio
+async def test_hook_channel_start_stop():
+    bus = MessageBus()
+    channel = HookChannel(bus)
+    await channel.start()
+    assert channel.is_running
+    await channel.stop()
+    assert not channel.is_running

tests/test_hooks_config.py

@@ -0,0 +1,24 @@
+"""Tests for HooksConfig with named tokens."""
+
+from nanobot.config.schema import HooksConfig
+
+
+def test_hooks_config_named_tokens():
+    """Named tokens dict should work."""
+    config = HooksConfig(enabled=True, tokens={"gitea": "secret1", "ha": "secret2"})
+    assert config.tokens == {"gitea": "secret1", "ha": "secret2"}
+
+
+def test_hooks_config_resolve_token():
+    """resolve_token should return token name for a matching token."""
+    config = HooksConfig(enabled=True, tokens={"gitea": "secret1", "ha": "secret2"})
+    assert config.resolve_token("secret1") == "gitea"
+    assert config.resolve_token("secret2") == "ha"
+    assert config.resolve_token("unknown") is None
+
+
+def test_hooks_config_has_tokens():
+    """has_tokens should be True if tokens dict is non-empty."""
+    assert HooksConfig(enabled=True, tokens={"webhook": "secret"}).has_tokens
+    assert not HooksConfig(enabled=True).has_tokens
+    assert not HooksConfig(enabled=True, tokens={}).has_tokens

tests/test_hooks_integration.py

@@ -0,0 +1,128 @@
+"""End-to-end integration test for hooks → bus → correlation → response."""
+
+import asyncio
+import pytest
+from aiohttp.test_utils import TestClient, TestServer
+from nanobot.hooks.server import HooksServer
+from nanobot.bus.queue import MessageBus
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.config.schema import HooksConfig
+from nanobot.channels.hook import HookChannel
+
+
+@pytest.fixture
+def bus():
+    return MessageBus()
+
+
+@pytest.fixture
+def config():
+    return HooksConfig(
+        enabled=True,
+        tokens={"gitea": "gitea-secret", "ha": "ha-secret"},
+        timeout_seconds=5,
+    )
+
+
+@pytest.fixture
+def server(bus, config):
+    return HooksServer(host="127.0.0.1", port=0, config=config, bus=bus)
+
+
+async def fake_agent_loop(bus: MessageBus):
+    """Simulate agent loop: consume inbound, process, publish outbound."""
+    msg = await asyncio.wait_for(bus.consume_inbound(), timeout=3.0)
+    response_content = f"Processed: {msg.content}"
+    await bus.publish_outbound(OutboundMessage(
+        channel=msg.channel,
+        chat_id=msg.chat_id,
+        content=response_content,
+        metadata=msg.metadata or {},
+    ))
+
+
+async def fake_dispatch_loop(bus: MessageBus, hook_channel: HookChannel):
+    """Simulate outbound dispatcher: consume outbound, resolve correlation, dispatch."""
+    msg = await asyncio.wait_for(bus.consume_outbound(), timeout=3.0)
+    bus.resolve_correlation(msg)
+    if msg.channel == "hook":
+        await hook_channel.send(msg)
+
+
+@pytest.mark.asyncio
+async def test_full_hook_flow_default_channel(server, bus):
+    """Hook with default channel: message goes through bus, response returned to HTTP caller."""
+    hook_channel = HookChannel(bus)
+    client = TestClient(TestServer(server._app))
+    async with client:
+        async def do_request():
+            return await client.post(
+                "/hooks",
+                json={"message": "deploy started"},
+                headers={"Authorization": "Bearer gitea-secret"},
+            )
+
+        # Run request + fake agent + fake dispatcher concurrently
+        request_task = asyncio.create_task(do_request())
+        agent_task = asyncio.create_task(fake_agent_loop(bus))
+        dispatch_task = asyncio.create_task(fake_dispatch_loop(bus, hook_channel))
+
+        resp = await asyncio.wait_for(request_task, timeout=5.0)
+        await agent_task
+        await dispatch_task
+
+        assert resp.status == 200
+        data = await resp.json()
+        assert data["ok"] is True
+        assert "deploy started" in data["response"]
+
+
+@pytest.mark.asyncio
+async def test_full_hook_flow_telegram_channel(server, bus):
+    """Hook targeting telegram: uses telegram session, response still returned to HTTP caller."""
+    hook_channel = HookChannel(bus)
+    client = TestClient(TestServer(server._app))
+    async with client:
+        async def do_request():
+            return await client.post(
+                "/hooks",
+                json={"message": "doorbell rang", "channel": "telegram", "chat_id": "239824268"},
+                headers={"Authorization": "Bearer ha-secret"},
+            )
+
+        request_task = asyncio.create_task(do_request())
+        agent_task = asyncio.create_task(fake_agent_loop(bus))
+        dispatch_task = asyncio.create_task(fake_dispatch_loop(bus, hook_channel))
+
+        resp = await asyncio.wait_for(request_task, timeout=5.0)
+        await agent_task
+        await dispatch_task
+
+        assert resp.status == 200
+        data = await resp.json()
+        assert data["ok"] is True
+        assert "doorbell rang" in data["response"]
+
+
+@pytest.mark.asyncio
+async def test_named_token_identification(server, bus):
+    """Different tokens should produce different hook_source in metadata."""
+    client = TestClient(TestServer(server._app))
+    async with client:
+        asyncio.create_task(client.post(
+            "/hooks",
+            json={"message": "from gitea"},
+            headers={"Authorization": "Bearer gitea-secret"},
+        ))
+        msg1 = await asyncio.wait_for(bus.consume_inbound(), timeout=2.0)
+        assert msg1.metadata["hook_source"] == "gitea"
+        assert msg1.chat_id == "gitea"
+
+        asyncio.create_task(client.post(
+            "/hooks",
+            json={"message": "from ha"},
+            headers={"Authorization": "Bearer ha-secret"},
+        ))
+        msg2 = await asyncio.wait_for(bus.consume_inbound(), timeout=2.0)
+        assert msg2.metadata["hook_source"] == "ha"
+        assert msg2.chat_id == "ha"

tests/test_hooks_server.py

@@ -0,0 +1,176 @@
+"""Tests for the rewritten hooks server."""
+
+import asyncio
+import json
+import pytest
+from aiohttp import web
+from aiohttp.test_utils import AioHTTPTestCase, unittest_run_loop, TestClient, TestServer
+from nanobot.hooks.server import HooksServer
+from nanobot.bus.queue import MessageBus
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.config.schema import HooksConfig
+
+
+@pytest.fixture
+def bus():
+    return MessageBus()
+
+
+@pytest.fixture
+def config():
+    return HooksConfig(
+        enabled=True,
+        tokens={"test-hook": "test-secret-123"},
+        timeout_seconds=5,
+    )
+
+
+@pytest.fixture
+def server(bus, config):
+    return HooksServer(host="127.0.0.1", port=0, config=config, bus=bus)
+
+
+@pytest.mark.asyncio
+async def test_health_check(server):
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.get("/health")
+        assert resp.status == 200
+        data = await resp.json()
+        assert data["status"] == "ok"
+
+
+@pytest.mark.asyncio
+async def test_unauthorized_without_token(server):
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.post("/hooks", json={"message": "test"})
+        assert resp.status == 401
+
+
+@pytest.mark.asyncio
+async def test_unauthorized_wrong_token(server):
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.post(
+            "/hooks",
+            json={"message": "test"},
+            headers={"Authorization": "Bearer wrong-token"},
+        )
+        assert resp.status == 401
+
+
+@pytest.mark.asyncio
+async def test_missing_message_field(server, bus):
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.post(
+            "/hooks",
+            json={"not_message": "test"},
+            headers={"Authorization": "Bearer test-secret-123"},
+        )
+        assert resp.status == 400
+
+
+@pytest.mark.asyncio
+async def test_hook_publishes_to_bus(server, bus):
+    """Hook should publish InboundMessage to bus and the message should contain hook prefix."""
+    client = TestClient(TestServer(server._app))
+    async with client:
+        # Send hook request in background (it will block waiting for correlation)
+        async def send_request():
+            return await client.post(
+                "/hooks",
+                json={"message": "hello from webhook"},
+                headers={"Authorization": "Bearer test-secret-123"},
+            )
+
+        task = asyncio.create_task(send_request())
+
+        # Consume the inbound message
+        msg = await asyncio.wait_for(bus.consume_inbound(), timeout=2.0)
+
+        assert msg.channel == "hook"
+        assert msg.chat_id == "test-hook"  # defaults to token name
+        assert msg.metadata.get("hook_source") == "test-hook"
+        assert msg.metadata.get("correlation_id") is not None
+
+        # Simulate agent response by resolving correlation
+        bus.resolve_correlation(OutboundMessage(
+            channel="hook",
+            chat_id="test-hook",
+            content="agent says hi",
+            metadata={"correlation_id": msg.metadata["correlation_id"]},
+        ))
+
+        resp = await asyncio.wait_for(task, timeout=2.0)
+        assert resp.status == 200
+        data = await resp.json()
+        assert data["ok"] is True
+        assert data["response"] == "agent says hi"
+
+
+@pytest.mark.asyncio
+async def test_hook_with_custom_channel(server, bus):
+    """Hook targeting telegram should use telegram channel in InboundMessage."""
+    client = TestClient(TestServer(server._app))
+    async with client:
+        async def send_request():
+            return await client.post(
+                "/hooks",
+                json={"message": "notify user", "channel": "telegram", "chat_id": "239824268"},
+                headers={"Authorization": "Bearer test-secret-123"},
+            )
+
+        task = asyncio.create_task(send_request())
+
+        msg = await asyncio.wait_for(bus.consume_inbound(), timeout=2.0)
+        assert msg.channel == "telegram"
+        assert msg.chat_id == "239824268"
+        assert msg.session_key == "telegram:239824268"
+
+        bus.resolve_correlation(OutboundMessage(
+            channel="telegram",
+            chat_id="239824268",
+            content="done",
+            metadata={"correlation_id": msg.metadata["correlation_id"]},
+        ))
+
+        resp = await asyncio.wait_for(task, timeout=2.0)
+        assert resp.status == 200
+        data = await resp.json()
+        assert data["response"] == "done"
+
+
+@pytest.mark.asyncio
+async def test_hook_timeout_returns_504(bus):
+    """If agent doesn't respond in time, return 504."""
+    config = HooksConfig(enabled=True, tokens={"test-hook": "test-secret-123"}, timeout_seconds=1)
+    server = HooksServer(host="127.0.0.1", port=0, config=config, bus=bus)
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.post(
+            "/hooks",
+            json={"message": "slow request"},
+            headers={"Authorization": "Bearer test-secret-123"},
+        )
+        assert resp.status == 504
+
+
+@pytest.mark.asyncio
+async def test_hook_timeout_zero_returns_202(server, bus):
+    """timeout=0 should return 202 immediately without waiting."""
+    client = TestClient(TestServer(server._app))
+    async with client:
+        resp = await client.post(
+            "/hooks",
+            json={"message": "fire and forget", "timeout": 0},
+            headers={"Authorization": "Bearer test-secret-123"},
+        )
+        assert resp.status == 202
+        data = await resp.json()
+        assert data["ok"] is True
+
+        # Message should still be on the bus
+        msg = await asyncio.wait_for(bus.consume_inbound(), timeout=1.0)
+        assert msg.content == "fire and forget"

tests/test_idle_heartbeat_integration.py

@@ -0,0 +1,110 @@
+# tests/test_idle_heartbeat_integration.py
+import pytest
+import asyncio
+from pathlib import Path
+from datetime import datetime, timedelta
+from nanobot.agent.loop import AgentLoop
+from nanobot.bus.queue import MessageBus
+from nanobot.heartbeat.service import HeartbeatService
+from nanobot.session.manager import SessionManager
+from nanobot.providers.base import LLMProvider, LLMResponse
+from unittest.mock import AsyncMock, MagicMock
+
+
+@pytest.mark.asyncio
+async def test_idle_heartbeat_end_to_end(tmp_path):
+    """
+    Integration test: heartbeat triggers when idle, runs in main session,
+    output is suppressed, session contains [HIDDEN:signature] content.
+    """
+    workspace = tmp_path / "test-integration"
+    workspace.mkdir()
+
+    # Use test-specific session key
+    test_session_key = "telegram:test_integration"
+
+    # Create HEARTBEAT.md with content
+    heartbeat_file = workspace / "HEARTBEAT.md"
+    heartbeat_file.write_text("# Test Task\n- Check something")
+
+    # Create mock provider
+    provider = MagicMock(spec=LLMProvider)
+    provider.chat = AsyncMock(return_value=LLMResponse(
+        content="Heartbeat executed successfully",
+        tool_calls=[]  # has_tool_calls is a property, not a parameter
+    ))
+    provider.get_default_model = MagicMock(return_value="test-model")
+    provider.thinking_budget = 0
+
+    # Create components
+    bus = MessageBus()
+    sessions = SessionManager(workspace)
+    # Override sessions_dir to use tmp_path for test isolation
+    sessions.sessions_dir = tmp_path / "sessions"
+    sessions.sessions_dir.mkdir()
+    loop = AgentLoop(
+        bus=bus,
+        provider=provider,
+        workspace=workspace,
+        session_manager=sessions
+    )
+
+    # Create session with old user message
+    session = sessions.get_or_create(test_session_key)
+    old_timestamp = (datetime.now() - timedelta(minutes=31)).isoformat()
+    session.messages.append({
+        "role": "user",
+        "content": "Old user message",
+        "timestamp": old_timestamp
+    })
+    sessions.save(session)
+
+    # Create heartbeat callback
+    async def on_heartbeat(prompt: str, metadata=None):
+        return await loop.process_direct(
+            prompt,
+            session_key=test_session_key,
+            channel="telegram",
+            chat_id="test_integration",
+            metadata=metadata,
+        )
+
+    # Create heartbeat service
+    heartbeat = HeartbeatService(
+        workspace=workspace,
+        on_heartbeat=on_heartbeat,
+        interval_s=1,
+        enabled=True,
+        session_manager=sessions,
+        target_session_key=test_session_key,
+        idle_threshold_s=30 * 60,
+    )
+
+    # Trigger heartbeat
+    await heartbeat._tick()
+
+    # Reload session from disk
+    sessions._cache.clear()  # Clear cache to force reload
+    session = sessions.get_or_create(test_session_key)
+
+    # Verify:
+    # 1. Session has new messages
+    assert len(session.messages) > 1
+
+    # 2. Find the heartbeat response (assistant message with signed visibility marker)
+    heartbeat_messages = [
+        m for m in session.messages
+        if m.get("role") == "assistant" and "[HIDDEN:" in m.get("content", "")
+    ]
+    assert len(heartbeat_messages) == 1, "Expected exactly 1 [HIDDEN:signature] heartbeat message"
+
+    # 3. Verify content is prefixed with [HIDDEN:signature]
+    heartbeat_msg = heartbeat_messages[0]
+    assert heartbeat_msg["content"].startswith("[HIDDEN:")
+    # Verify signature format (8-char hex)
+    content = heartbeat_msg["content"]
+    prefix_end = content.index("]")
+    signature = content[8:prefix_end]  # Skip "[HIDDEN:" to get signature
+    assert len(signature) == 8, f"Expected 8-char signature, got {len(signature)}"
+    assert all(c in "0123456789abcdef" for c in signature), "Signature should be hex"
+    assert "Heartbeat executed successfully" in heartbeat_msg["content"]

tests/test_media_tracking.py

@@ -0,0 +1,25 @@
+"""Tests for screenshot media tracking."""
+
+import pytest
+import base64
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock
+from nanobot.agent.loop import AgentLoop
+from nanobot.agent.tools.anthropic.base import ToolResult
+
+
+@pytest.mark.asyncio
+async def test_media_tracking_saves_screenshots():
+    """Test that screenshots are saved to disk and tracked."""
+    # This is more of an integration test
+    # Test the media saving logic separately
+
+    # Create fake screenshot data
+    fake_png = b"\x89PNG\r\n\x1a\n"  # PNG header
+    base64_image = base64.b64encode(fake_png).decode()
+
+    result = ToolResult(base64_image=base64_image)
+
+    # Verify we can decode it
+    decoded = base64.b64decode(result.base64_image)
+    assert decoded == fake_png

tests/test_memory_security.py

@@ -0,0 +1,70 @@
+"""Security tests for MemoryTool20250818."""
+
+import pytest
+from pathlib import Path
+from nanobot.agent.tools.anthropic import MemoryTool20250818
+
+
+@pytest.fixture
+def temp_workspace(tmp_path):
+    """Create temporary workspace."""
+    return tmp_path
+
+
+@pytest.fixture
+def memory_tool(temp_workspace):
+    """Create MemoryTool instance."""
+    return MemoryTool20250818(workspace=temp_workspace)
+
+
+class TestPathSecurity:
+    """Test path validation security."""
+
+    def test_validate_path_valid_root(self, memory_tool):
+        """Test that /memories is valid."""
+        result = memory_tool._validate_memory_path("/memories")
+        assert result == memory_tool.memories_dir
+
+    def test_validate_path_valid_file(self, memory_tool):
+        """Test that /memories/notes.txt is valid."""
+        result = memory_tool._validate_memory_path("/memories/notes.txt")
+        assert result == memory_tool.memories_dir / "notes.txt"
+
+    def test_validate_path_valid_nested(self, memory_tool):
+        """Test that /memories/project/status.xml is valid."""
+        result = memory_tool._validate_memory_path("/memories/project/status.xml")
+        assert result == memory_tool.memories_dir / "project" / "status.xml"
+
+    def test_validate_path_rejects_parent_traversal(self, memory_tool):
+        """Test that ../ is rejected."""
+        with pytest.raises(ValueError, match="escapes /memories directory"):
+            memory_tool._validate_memory_path("/memories/../config.json")
+
+    def test_validate_path_rejects_double_parent_traversal(self, memory_tool):
+        """Test that ../../ is rejected."""
+        with pytest.raises(ValueError, match="escapes /memories directory"):
+            memory_tool._validate_memory_path("/memories/../../etc/passwd")
+
+    def test_validate_path_rejects_absolute_path(self, memory_tool):
+        """Test that absolute paths are rejected."""
+        with pytest.raises(ValueError, match="must start with /memories"):
+            memory_tool._validate_memory_path("/etc/passwd")
+
+    def test_validate_path_rejects_workspace_path(self, memory_tool):
+        """Test that /workspace paths are rejected."""
+        with pytest.raises(ValueError, match="must start with /memories"):
+            memory_tool._validate_memory_path("/workspace/data.txt")
+
+    def test_validate_path_rejects_relative_path(self, memory_tool):
+        """Test that relative paths are rejected."""
+        with pytest.raises(ValueError, match="must start with /memories"):
+            memory_tool._validate_memory_path("notes.txt")
+
+    def test_validate_path_url_encoded_is_safe(self, memory_tool):
+        """Test that URL-encoded paths are safe (not decoded by pathlib)."""
+        # Python's pathlib treats %2e%2e as literal characters, not as ..
+        # So this is actually safe - it creates a subdirectory named "%2e%2e"
+        attack_path = "/memories/%2e%2e/config.json"
+        result = memory_tool._validate_memory_path(attack_path)
+        # This should resolve to memories/%2e%2e/config.json (literal characters)
+        assert result == memory_tool.memories_dir / "%2e%2e" / "config.json"

tests/test_memory_tool.py

@@ -0,0 +1,239 @@
+"""Tests for MemoryTool20250818."""
+
+import pytest
+from pathlib import Path
+from nanobot.agent.tools.anthropic import MemoryTool20250818
+from nanobot.agent.tools.anthropic.base import CLIResult
+
+
+@pytest.fixture
+def temp_workspace(tmp_path):
+    """Create temporary workspace."""
+    return tmp_path
+
+
+@pytest.fixture
+def memory_tool(temp_workspace):
+    """Create MemoryTool instance."""
+    return MemoryTool20250818(workspace=temp_workspace)
+
+
+def test_memory_tool_initialization(memory_tool, temp_workspace):
+    """Test that MemoryTool initializes correctly."""
+    assert memory_tool.api_type == "memory_20250818"
+    assert memory_tool.name == "memory"
+    assert memory_tool.beta_flag == "context-management-2025-06-27"
+    assert (temp_workspace / "memories").exists()
+
+
+def test_memory_tool_to_params(memory_tool):
+    """Test that to_params returns correct format."""
+    params = memory_tool.to_params()
+    assert params == {
+        "type": "memory_20250818",
+        "name": "memory"
+    }
+
+
+@pytest.mark.asyncio
+async def test_view_file(memory_tool, temp_workspace):
+    """Test viewing a file with line numbers."""
+    # Create test file
+    test_file = temp_workspace / "memories" / "notes.txt"
+    test_file.write_text("Line 1\nLine 2\nLine 3\n")
+
+    result = await memory_tool(command="view", path="/memories/notes.txt")
+
+    assert result.exit_code == 0
+    assert result.error == ""
+    assert "Here's the content of /memories/notes.txt with line numbers:" in result.output
+    assert "     1\tLine 1" in result.output
+    assert "     2\tLine 2" in result.output
+    assert "     3\tLine 3" in result.output
+
+
+@pytest.mark.asyncio
+async def test_view_file_with_range(memory_tool, temp_workspace):
+    """Test viewing a file with line range."""
+    # Create test file with 10 lines
+    test_file = temp_workspace / "memories" / "test.txt"
+    test_file.write_text("\n".join([f"Line {i}" for i in range(1, 11)]))
+
+    result = await memory_tool(command="view", path="/memories/test.txt", view_range=[3, 5])
+
+    assert result.exit_code == 0
+    assert "     3\tLine 3" in result.output
+    assert "     4\tLine 4" in result.output
+    assert "     5\tLine 5" in result.output
+    assert "Line 1" not in result.output
+    assert "Line 10" not in result.output
+
+
+@pytest.mark.asyncio
+async def test_view_file_not_exists(memory_tool):
+    """Test viewing a nonexistent file."""
+    result = await memory_tool(command="view", path="/memories/nonexistent.txt")
+
+    assert result.exit_code == 1
+    assert result.output == ""
+    assert "The path /memories/nonexistent.txt does not exist" in result.error
+
+
+@pytest.mark.asyncio
+async def test_view_directory(memory_tool, temp_workspace):
+    """Test viewing a directory listing."""
+    # Create test directory structure
+    memories = temp_workspace / "memories"
+    (memories / "notes.txt").write_text("content")
+    (memories / "project").mkdir()
+    (memories / "project" / "status.xml").write_text("<status>ok</status>")
+    (memories / ".hidden").write_text("hidden")  # Should be excluded
+
+    result = await memory_tool(command="view", path="/memories")
+
+    assert result.exit_code == 0
+    assert result.error == ""
+    assert "Here're the files and directories up to 2 levels deep in /memories" in result.output
+    assert "/memories" in result.output
+    assert "/memories/notes.txt" in result.output
+    assert "/memories/project" in result.output
+    assert "/memories/project/status.xml" in result.output
+    assert ".hidden" not in result.output  # Hidden files excluded
+
+
+@pytest.mark.asyncio
+async def test_view_empty_directory(memory_tool):
+    """Test viewing an empty directory."""
+    result = await memory_tool(command="view", path="/memories")
+
+    assert result.exit_code == 0
+    assert "/memories" in result.output
+
+
+@pytest.mark.asyncio
+async def test_create_file(memory_tool, temp_workspace):
+    """Test creating a new file."""
+    result = await memory_tool(
+        command="create",
+        path="/memories/notes.txt",
+        file_text="My notes\nLine 2\n"
+    )
+
+    assert result.exit_code == 0
+    assert result.error == ""
+    assert "File created successfully at: /memories/notes.txt" in result.output
+
+    # Verify file was created
+    created_file = temp_workspace / "memories" / "notes.txt"
+    assert created_file.exists()
+    assert created_file.read_text() == "My notes\nLine 2\n"
+
+
+@pytest.mark.asyncio
+async def test_create_file_nested_directory(memory_tool, temp_workspace):
+    """Test creating a file in a nested directory (auto-creates parent dirs)."""
+    result = await memory_tool(
+        command="create",
+        path="/memories/project/status.xml",
+        file_text="<status>ok</status>"
+    )
+
+    assert result.exit_code == 0
+    assert "File created successfully at: /memories/project/status.xml" in result.output
+
+    # Verify file and parent directory were created
+    created_file = temp_workspace / "memories" / "project" / "status.xml"
+    assert created_file.exists()
+    assert created_file.read_text() == "<status>ok</status>"
+
+
+@pytest.mark.asyncio
+async def test_create_file_already_exists(memory_tool, temp_workspace):
+    """Test creating a file that already exists."""
+    # Create file first
+    existing = temp_workspace / "memories" / "existing.txt"
+    existing.write_text("existing content")
+
+    result = await memory_tool(
+        command="create",
+        path="/memories/existing.txt",
+        file_text="new content"
+    )
+
+    assert result.exit_code == 1
+    assert result.output == ""
+    assert "Error: File /memories/existing.txt already exists" in result.error
+
+    # Verify original content unchanged
+    assert existing.read_text() == "existing content"
+
+
+@pytest.mark.asyncio
+async def test_create_file_missing_text(memory_tool):
+    """Test creating a file without file_text parameter."""
+    result = await memory_tool(
+        command="create",
+        path="/memories/notes.txt"
+    )
+
+    assert result.exit_code == 1
+    assert result.output == ""
+    assert "Error: file_text is required for create command" in result.error
+
+
+@pytest.mark.asyncio
+async def test_str_replace_success(memory_tool, temp_workspace):
+    """Test replacing unique string in a file."""
+    test_file = temp_workspace / "memories" / "config.txt"
+    test_file.write_text("color: blue\nsize: large\n")
+
+    result = await memory_tool(
+        command="str_replace",
+        path="/memories/config.txt",
+        old_str="blue",
+        new_str="green"
+    )
+
+    assert result.exit_code == 0
+    assert result.error == ""
+    assert "The memory file has been edited." in result.output
+
+    # Verify file was modified
+    assert test_file.read_text() == "color: green\nsize: large\n"
+
+
+@pytest.mark.asyncio
+async def test_str_replace_not_found(memory_tool, temp_workspace):
+    """Test replacing string that doesn't exist."""
+    test_file = temp_workspace / "memories" / "config.txt"
+    test_file.write_text("color: blue\n")
+
+    result = await memory_tool(
+        command="str_replace",
+        path="/memories/config.txt",
+        old_str="red",
+        new_str="green"
+    )
+
+    assert result.exit_code == 1
+    assert result.output == ""
+    assert "No replacement was performed, old_str `red` did not appear verbatim" in result.error
+
+
+@pytest.mark.asyncio
+async def test_str_replace_duplicate(memory_tool, temp_workspace):
+    """Test replacing string that appears multiple times."""
+    test_file = temp_workspace / "memories" / "config.txt"
+    test_file.write_text("color: blue\nbackground: blue\n")
+
+    result = await memory_tool(
+        command="str_replace",
+        path="/memories/config.txt",
+        old_str="blue",
+        new_str="green"
+    )
+
+    assert result.exit_code == 1
+    assert result.output == ""
+    assert "Multiple occurrences of old_str `blue`" in result.error
+    assert "Please ensure it is unique" in result.error

tests/test_native_tools_registration.py

@@ -0,0 +1,57 @@
+"""Test registration of native Anthropic tools in the agent loop."""
+
+import pytest
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock
+
+from nanobot.agent.loop import AgentLoop
+from nanobot.agent.tools.anthropic import (
+    BashTool20250124,
+    EditTool20250728,
+    ComputerTool20251124,
+)
+
+
+@pytest.fixture
+def mock_provider():
+    """Create a mock provider."""
+    provider = MagicMock()
+    provider.chat = AsyncMock(return_value="test response")
+    provider.get_default_model = MagicMock(return_value="test-model")
+    return provider
+
+
+@pytest.fixture
+def mock_bus():
+    """Create a mock message bus."""
+    bus = MagicMock()
+    bus.publish_outbound = AsyncMock()
+    return bus
+
+
+def test_native_tools_registered(mock_provider, mock_bus, tmp_path):
+    """Test that native Anthropic tools are registered in the agent loop."""
+    # Create agent loop
+    loop = AgentLoop(
+        provider=mock_provider,
+        bus=mock_bus,
+        workspace=tmp_path,
+    )
+
+    # Get all registered tool names
+    tool_names = [tool.name for tool in loop.tools._tools.values()]
+
+    # Verify native tools are registered (using their internal names)
+    assert "bash" in tool_names, "bash tool should be registered"
+    assert "str_replace_editor" in tool_names, "str_replace_editor tool should be registered"
+    assert "computer" in tool_names, "computer tool should be registered"
+
+    # Verify we can get the tool instances
+    bash_tool = loop.tools.get("bash")
+    assert isinstance(bash_tool, BashTool20250124)
+
+    editor_tool = loop.tools.get("str_replace_editor")
+    assert isinstance(editor_tool, EditTool20250728)
+
+    computer_tool = loop.tools.get("computer")
+    assert isinstance(computer_tool, ComputerTool20251124)

tests/test_oauth_config.py

@@ -0,0 +1,48 @@
+"""Test OAuth configuration schema."""
+import pytest
+from nanobot.config.schema import ProviderConfig, OAuthCredentials
+
+
+def test_provider_config_has_oauth_fields():
+    """ProviderConfig should have oauth_credentials field."""
+    config = ProviderConfig(api_key="test")
+    assert hasattr(config, "oauth_credentials")
+    assert config.oauth_credentials is None
+
+
+def test_oauth_credentials_model():
+    """OAuthCredentials should store token, refresh, expiry."""
+    creds = OAuthCredentials(
+        access_token="sk-ant-oat01-xxx",
+        refresh_token="rt_xxx",
+        expires_at=1234567890,
+        token_type="oauth"
+    )
+    assert creds.access_token.startswith("sk-ant-oat")
+    assert creds.is_oauth_token is True
+
+
+def test_oauth_credentials_expiry_check():
+    """OAuthCredentials should detect expired tokens."""
+    import time
+    expired = OAuthCredentials(
+        access_token="sk-ant-oat01-xxx",
+        expires_at=int(time.time()) - 3600  # 1 hour ago
+    )
+    assert expired.is_expired is True
+
+    valid = OAuthCredentials(
+        access_token="sk-ant-oat01-xxx",
+        expires_at=int(time.time()) + 3600  # 1 hour from now
+    )
+    assert valid.is_expired is False
+
+
+def test_oauth_credentials_no_expiry():
+    """Setup tokens with expires_at=0 should never be expired."""
+    creds = OAuthCredentials(
+        access_token="sk-ant-oat01-xxx",
+        expires_at=0  # No expiry (setup-token)
+    )
+    assert creds.is_expired is False
+    assert creds.expires_soon is False

tests/test_oauth_store.py

@@ -0,0 +1,55 @@
+"""Test OAuth credential storage."""
+import pytest
+import tempfile
+from pathlib import Path
+from nanobot.config.oauth_store import OAuthStore
+from nanobot.config.schema import OAuthCredentials
+
+
+@pytest.fixture
+def temp_store():
+    """Create store with temp directory."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        yield OAuthStore(Path(tmpdir) / ".nanobot")
+
+
+def test_save_and_load_credentials(temp_store):
+    """Should save and load OAuth credentials."""
+    creds = OAuthCredentials(
+        access_token="sk-ant-oat01-xxx",
+        refresh_token="rt_xxx",
+        expires_at=1234567890
+    )
+
+    temp_store.save("anthropic", creds)
+    loaded = temp_store.load("anthropic")
+
+    assert loaded is not None
+    assert loaded.access_token == creds.access_token
+    assert loaded.refresh_token == creds.refresh_token
+
+
+def test_load_nonexistent_returns_none(temp_store):
+    """Should return None for missing credentials."""
+    assert temp_store.load("nonexistent") is None
+
+
+def test_delete_credentials(temp_store):
+    """Should delete saved credentials."""
+    creds = OAuthCredentials(access_token="sk-ant-oat01-xxx")
+    temp_store.save("anthropic", creds)
+    assert temp_store.delete("anthropic") is True
+    assert temp_store.load("anthropic") is None
+
+
+def test_delete_nonexistent_returns_false(temp_store):
+    """Should return False when deleting missing credentials."""
+    assert temp_store.delete("nonexistent") is False
+
+
+def test_file_permissions(temp_store):
+    """Credentials file should have restricted permissions."""
+    creds = OAuthCredentials(access_token="sk-ant-oat01-xxx")
+    temp_store.save("anthropic", creds)
+    perms = oct(temp_store.file_path.stat().st_mode)[-3:]
+    assert perms == "600"

tests/test_oauth_utils.py

@@ -0,0 +1,28 @@
+"""Test OAuth utility functions."""
+import pytest
+from nanobot.providers.oauth_utils import is_oauth_token, get_auth_headers
+
+
+def test_is_oauth_token_detects_oat():
+    """Should detect sk-ant-oat tokens as OAuth."""
+    assert is_oauth_token("sk-ant-oat01-buSdhCH2XEkebW7ZQZTvGqH5EwAFh4u52LrdJhAP") is True
+    assert is_oauth_token("sk-ant-api03-regularkey") is False
+    assert is_oauth_token("") is False
+    assert is_oauth_token(None) is False
+
+
+def test_get_auth_headers_oauth():
+    """OAuth tokens should use Authorization: Bearer."""
+    headers = get_auth_headers("sk-ant-oat01-xxx", is_oauth=True)
+    assert "Authorization" in headers
+    assert headers["Authorization"] == "Bearer sk-ant-oat01-xxx"
+    assert "x-api-key" not in headers
+    assert headers["anthropic-beta"] == "claude-code-20250219,oauth-2025-04-20"
+
+
+def test_get_auth_headers_api_key():
+    """Regular API keys should use x-api-key."""
+    headers = get_auth_headers("sk-ant-api03-xxx", is_oauth=False)
+    assert "x-api-key" in headers
+    assert headers["x-api-key"] == "sk-ant-api03-xxx"
+    assert "Authorization" not in headers

tests/test_outbound_correlation.py

@@ -0,0 +1,24 @@
+"""Tests for correlation resolution in outbound dispatch."""
+
+import asyncio
+import pytest
+from unittest.mock import AsyncMock, MagicMock
+from nanobot.bus.queue import MessageBus
+from nanobot.bus.events import OutboundMessage
+
+
+@pytest.mark.asyncio
+async def test_dispatch_resolves_correlation_before_channel_send():
+    """Correlation Future should be resolved when outbound message is dispatched."""
+    bus = MessageBus()
+    future = bus.register_correlation("corr-1")
+
+    msg = OutboundMessage(channel="telegram", chat_id="123", content="response", metadata={"correlation_id": "corr-1"})
+    await bus.publish_outbound(msg)
+
+    # Simulate what _dispatch_outbound does: consume + resolve
+    consumed = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
+    bus.resolve_correlation(consumed)
+
+    assert future.done()
+    assert future.result() == "response"

tests/test_provider_factory.py

@@ -0,0 +1,32 @@
+"""Test provider factory with OAuth support."""
+import pytest
+from nanobot.providers import create_provider
+from nanobot.providers.anthropic_oauth import AnthropicOAuthProvider
+from nanobot.providers.litellm_provider import LiteLLMProvider
+
+
+def test_create_provider_oauth_token():
+    """OAuth tokens should create AnthropicOAuthProvider."""
+    provider = create_provider(
+        api_key="sk-ant-oat01-test-token",
+        model="anthropic/claude-opus-4-5"
+    )
+    assert isinstance(provider, AnthropicOAuthProvider)
+
+
+def test_create_provider_regular_key():
+    """Regular API keys should create LiteLLMProvider."""
+    provider = create_provider(
+        api_key="sk-ant-api03-regular-key",
+        model="anthropic/claude-opus-4-5"
+    )
+    assert isinstance(provider, LiteLLMProvider)
+
+
+def test_create_provider_openrouter():
+    """OpenRouter keys should create LiteLLMProvider."""
+    provider = create_provider(
+        api_key="sk-or-v1-xxx",
+        model="anthropic/claude-opus-4-5"
+    )
+    assert isinstance(provider, LiteLLMProvider)

tests/test_registry_duck_typing.py

@@ -0,0 +1,94 @@
+"""Tests for registry duck typing support."""
+
+import pytest
+from nanobot.agent.tools.registry import ToolRegistry
+from nanobot.agent.tools.anthropic.base import BaseAnthropicTool, ToolResult
+
+
+class MockNativeTool(BaseAnthropicTool):
+    """Mock native tool for testing."""
+    api_type = "test_20250227"
+    name = "native_test"
+    beta_flag = "test-beta"
+
+    async def __call__(self, **kwargs):
+        return ToolResult(output="native result")
+
+    def to_params(self):
+        return {"type": self.api_type, "name": self.name}
+
+
+class MockFunctionTool:
+    """Mock function tool for testing."""
+    def __init__(self):
+        self.name = "function_test"
+
+    def to_schema(self):
+        return {
+            "type": "function",
+            "function": {
+                "name": self.name,
+                "description": "Test function tool",
+                "parameters": {"type": "object", "properties": {}}
+            }
+        }
+
+    async def execute(self, **kwargs):
+        return "function result"
+
+
+def test_registry_supports_native_tools():
+    """Test registry can register and get definitions from native tools."""
+    registry = ToolRegistry()
+    native_tool = MockNativeTool()
+    registry.register(native_tool)
+
+    definitions = registry.get_definitions()
+    assert len(definitions) == 1
+    assert definitions[0]["type"] == "test_20250227"
+    assert definitions[0]["name"] == "native_test"
+
+
+def test_registry_supports_function_tools():
+    """Test registry still supports function tools."""
+    registry = ToolRegistry()
+    function_tool = MockFunctionTool()
+    registry.register(function_tool)
+
+    definitions = registry.get_definitions()
+    assert len(definitions) == 1
+    assert definitions[0]["type"] == "function"
+    assert definitions[0]["function"]["name"] == "function_test"
+
+
+def test_registry_supports_mixed_tools():
+    """Test registry can handle both native and function tools."""
+    registry = ToolRegistry()
+    native_tool = MockNativeTool()
+    function_tool = MockFunctionTool()
+
+    registry.register(native_tool)
+    registry.register(function_tool)
+
+    definitions = registry.get_definitions()
+    assert len(definitions) == 2
+
+    # Find each tool type in definitions
+    native_def = next(d for d in definitions if d.get("type") == "test_20250227")
+    function_def = next(d for d in definitions if d.get("type") == "function")
+
+    assert native_def["name"] == "native_test"
+    assert function_def["function"]["name"] == "function_test"
+
+
+def test_registry_rejects_tools_without_schema_method():
+    """Test registry raises error for tools with no schema method."""
+    registry = ToolRegistry()
+
+    class BadTool:
+        name = "bad"
+
+    registry.register(BadTool())
+
+    with pytest.raises(ValueError, match="has no schema method"):
+        registry.get_definitions()

tests/test_registry_native_execution.py

@@ -0,0 +1,57 @@
+"""Tests for registry execution of native tools."""
+
+import pytest
+import tempfile
+from pathlib import Path
+from nanobot.agent.tools.registry import ToolRegistry
+from nanobot.agent.tools.anthropic import BashTool20250124, EditTool20250728
+from nanobot.agent.tools.anthropic.base import ToolResult, CLIResult
+
+
+@pytest.mark.asyncio
+async def test_registry_executes_bash_tool():
+    """Test registry can execute BashTool20250124 and returns ToolResult."""
+    registry = ToolRegistry()
+    registry.register(BashTool20250124())
+
+    result = await registry.execute("bash", {"command": "echo 'test'"})
+
+    assert isinstance(result, ToolResult)
+    assert result.output is not None
+    assert "test" in result.output
+    assert result.error is None
+
+
+@pytest.mark.asyncio
+async def test_registry_executes_edit_tool():
+    """Test registry can execute EditTool20250728 and returns CLIResult."""
+    registry = ToolRegistry()
+    registry.register(EditTool20250728())
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        test_file = str(Path(tmpdir) / "test.txt")
+
+        result = await registry.execute("str_replace_editor", {
+            "command": "create",
+            "path": test_file,
+            "file_text": "Hello, world!"
+        })
+
+        assert isinstance(result, CLIResult)
+        assert "created" in result.output.lower() or "success" in result.output.lower()
+        assert Path(test_file).exists()
+        assert Path(test_file).read_text() == "Hello, world!"
+
+
+@pytest.mark.asyncio
+async def test_registry_mixed_tools():
+    """Test registry can execute both native and function tools in same registry."""
+    registry = ToolRegistry()
+
+    # Register native tool
+    registry.register(BashTool20250124())
+
+    # Execute native tool
+    result = await registry.execute("bash", {"command": "echo 'native'"})
+    assert isinstance(result, ToolResult)
+    assert "native" in result.output

tests/test_registry_oauth.py

@@ -0,0 +1,21 @@
+"""Test OAuth detection in provider registry."""
+import pytest
+from nanobot.providers.registry import should_use_oauth_provider
+
+
+def test_should_use_oauth_for_oat_token():
+    """OAuth provider should be used for sk-ant-oat tokens."""
+    assert should_use_oauth_provider("sk-ant-oat01-xxx", "anthropic/claude-opus-4-5") is True
+    assert should_use_oauth_provider("sk-ant-oat01-xxx", "claude-sonnet-4") is True
+
+
+def test_should_not_use_oauth_for_regular_key():
+    """Regular API keys should not use OAuth provider."""
+    assert should_use_oauth_provider("sk-ant-api03-xxx", "claude-opus-4-5") is False
+    assert should_use_oauth_provider("sk-or-v1-xxx", "anthropic/claude-opus-4-5") is False
+
+
+def test_should_not_use_oauth_for_non_anthropic():
+    """Non-Anthropic models should not use OAuth provider."""
+    assert should_use_oauth_provider("sk-ant-oat01-xxx", "gpt-4") is False
+    assert should_use_oauth_provider("sk-ant-oat01-xxx", "deepseek/deepseek-chat") is False

tests/test_telegram_channel_media.py

@@ -0,0 +1,101 @@
+"""Integration tests for Telegram media sending."""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.telegram import TelegramChannel
+
+
+@pytest.fixture
+def mock_telegram_app():
+    """Mock python-telegram-bot Application."""
+    app = MagicMock()
+    app.bot = MagicMock()
+    app.bot.send_photo = AsyncMock()
+    app.bot.send_video = AsyncMock()
+    app.bot.send_audio = AsyncMock()
+    app.bot.send_document = AsyncMock()
+    app.bot.send_media_group = AsyncMock()
+    app.bot.send_message = AsyncMock()
+    return app
+
+
+@pytest.mark.asyncio
+async def test_send_single_image(mock_telegram_app, tmp_path):
+    """Test sending single image."""
+    # Create test image
+    from PIL import Image
+    img_path = tmp_path / "test.jpg"
+    img = Image.new("RGB", (100, 100), color="red")
+    img.save(img_path, format="JPEG")
+
+    # Setup channel
+    bus = MessageBus()
+    config = MagicMock()
+    config.token = "fake_token"
+    config.proxy = None
+
+    channel = TelegramChannel(config, bus)
+    channel._app = mock_telegram_app
+    channel._running = True
+
+    # Send message with media
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="12345",
+        content="Test image",
+        media=[str(img_path)]
+    )
+
+    with patch("nanobot.channels.telegram._markdown_to_telegram_html", return_value="Test image"):
+        await channel.send(msg)
+
+    # Verify send_photo was called
+    mock_telegram_app.bot.send_photo.assert_called_once()
+    call_args = mock_telegram_app.bot.send_photo.call_args
+    assert call_args.kwargs["chat_id"] == 12345
+    assert call_args.kwargs["caption"] == "Test image"
+
+
+@pytest.mark.asyncio
+async def test_send_album(mock_telegram_app, tmp_path):
+    """Test sending multiple images as album."""
+    from PIL import Image
+
+    # Create test images
+    img_paths = []
+    for i in range(3):
+        img_path = tmp_path / f"test{i}.jpg"
+        img = Image.new("RGB", (100, 100), color="red")
+        img.save(img_path, format="JPEG")
+        img_paths.append(str(img_path))
+
+    # Setup channel
+    bus = MessageBus()
+    config = MagicMock()
+    config.token = "fake_token"
+    config.proxy = None
+
+    channel = TelegramChannel(config, bus)
+    channel._app = mock_telegram_app
+    channel._running = True
+
+    # Send message with multiple images
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="12345",
+        content="Album test",
+        media=img_paths
+    )
+
+    with patch("nanobot.channels.telegram._markdown_to_telegram_html", return_value="Album test"):
+        await channel.send(msg)
+
+    # Verify send_media_group was called
+    mock_telegram_app.bot.send_media_group.assert_called_once()
+    call_args = mock_telegram_app.bot.send_media_group.call_args
+    assert call_args.kwargs["chat_id"] == 12345
+    assert len(call_args.kwargs["media"]) == 3

tests/test_telegram_chunking.py

@@ -0,0 +1,170 @@
+"""Tests for Telegram message chunking.
+
+Per design doc: messages >4096 chars should split at sentence boundaries.
+"""
+
+import pytest
+from unittest.mock import AsyncMock, MagicMock
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.channels.telegram import TelegramChannel
+
+
+@pytest.mark.asyncio
+async def test_short_message_not_chunked():
+    """Messages under 4096 chars should send as single message."""
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the bot
+    sent_messages = []
+
+    class MockBot:
+        async def send_message(self, chat_id, text, parse_mode=None):
+            sent_messages.append({"chat_id": chat_id, "text": text})
+
+    class MockApp:
+        bot = MockBot()
+
+    channel._app = MockApp()
+
+    # Short message
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="123",
+        content="Short message."
+    )
+
+    await channel.send(msg)
+
+    # Should send exactly 1 message
+    assert len(sent_messages) == 1
+    assert sent_messages[0]["text"] == "Short message."
+
+
+@pytest.mark.asyncio
+async def test_long_message_splits_at_sentences():
+    """Messages >4096 chars should split at sentence boundaries."""
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the bot
+    sent_messages = []
+
+    class MockBot:
+        async def send_message(self, chat_id, text, parse_mode=None):
+            sent_messages.append({"chat_id": chat_id, "text": text})
+
+    class MockApp:
+        bot = MockBot()
+
+    channel._app = MockApp()
+
+    # Create a message longer than 4096 chars with clear sentence boundaries
+    # Each sentence is 200 chars, need 21+ sentences to exceed 4096
+    sentence = "A" * 195 + "end. "  # 200 chars including "end. "
+    long_content = sentence * 25  # 5000 chars total
+
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="123",
+        content=long_content
+    )
+
+    await channel.send(msg)
+
+    # Should split into multiple messages
+    assert len(sent_messages) > 1
+
+    # Each message should be under 4096 chars
+    for sent in sent_messages:
+        assert len(sent["text"]) <= 4096
+
+    # All messages combined should equal original (with whitespace trimming)
+    combined = "".join(sent["text"] for sent in sent_messages)
+    assert combined.replace(" ", "") == long_content.replace(" ", "")
+
+
+@pytest.mark.asyncio
+async def test_message_at_exactly_4000_chars():
+    """Message at exactly 4000 chars should not chunk (safer limit)."""
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the bot
+    sent_messages = []
+
+    class MockBot:
+        async def send_message(self, chat_id, text, parse_mode=None):
+            sent_messages.append({"chat_id": chat_id, "text": text})
+
+    class MockApp:
+        bot = MockBot()
+
+    channel._app = MockApp()
+
+    # Exactly 4000 chars (upstream uses 4000 as safer limit vs 4096)
+    content = "A" * 4000
+
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="123",
+        content=content
+    )
+
+    await channel.send(msg)
+
+    # Should send exactly 1 message
+    assert len(sent_messages) == 1
+
+
+@pytest.mark.asyncio
+async def test_message_preserves_sentence_boundaries():
+    """Chunks should split at sentence endings, not mid-sentence."""
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the bot
+    sent_messages = []
+
+    class MockBot:
+        async def send_message(self, chat_id, text, parse_mode=None):
+            sent_messages.append({"chat_id": chat_id, "text": text})
+
+    class MockApp:
+        bot = MockBot()
+
+    channel._app = MockApp()
+
+    # Create content with clear sentence markers
+    # First part: just under 4096 chars
+    part1 = "First sentence. " * 250  # ~4000 chars
+    part2 = "Second sentence. "
+    content = part1 + part2
+
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="123",
+        content=content
+    )
+
+    await channel.send(msg)
+
+    # Verify chunks don't break mid-sentence
+    for sent in sent_messages:
+        text = sent["text"].strip()
+        # Each chunk should end with sentence punctuation
+        if text:
+            assert text[-1] in ".!?"

tests/test_telegram_media.py

@@ -0,0 +1,263 @@
+"""Tests for Telegram media handling."""
+
+import io
+
+import pytest
+from PIL import Image
+
+
+def test_detect_mime_from_jpeg():
+    """Test MIME detection for JPEG images."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    # Create minimal JPEG bytes (FF D8 FF = JPEG magic bytes)
+    jpeg_bytes = b'\xff\xd8\xff\xe0\x00\x10JFIF'
+
+    mime = detect_mime("test.jpg", jpeg_bytes)
+    assert mime == "image/jpeg"
+
+
+def test_detect_mime_from_png():
+    """Test MIME detection for PNG images."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    # PNG magic bytes
+    png_bytes = b'\x89PNG\r\n\x1a\n'
+
+    mime = detect_mime("test.png", png_bytes)
+    assert mime == "image/png"
+
+
+def test_detect_mime_from_extension_fallback():
+    """Test MIME detection falls back to extension when no content provided."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    mime = detect_mime("video.mp4", None)
+    assert mime == "video/mp4"
+
+
+def test_detect_mime_unknown():
+    """Test MIME detection returns generic type for unknown files."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    mime = detect_mime("unknown.xyz", None)
+    assert mime == "application/octet-stream"
+
+
+def test_detect_mime_magic_fallback_on_octet_stream():
+    """Test that extension is preferred when magic returns generic type."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    # Generic binary content that magic might identify as octet-stream
+    generic_bytes = b'\x00\x01\x02\x03'
+
+    # But extension clearly indicates it's an image
+    mime = detect_mime("image.png", generic_bytes)
+
+    # Should use extension (png) not magic's generic result
+    # Note: This tests the logic at line 36 - avoiding generic types
+    assert mime in ("image/png", "application/octet-stream")
+
+
+def test_detect_mime_malformed_content():
+    """Test fallback when magic detection fails with malformed content."""
+    from nanobot.channels.telegram_media import detect_mime
+
+    # Malformed content that might cause magic to raise an exception
+    malformed = b'\xff' * 10
+
+    # Should fallback to extension detection, not crash
+    mime = detect_mime("test.mp4", malformed)
+    assert mime == "video/mp4"
+
+
+def test_classify_media_image():
+    """Test classification of image MIME types."""
+    from nanobot.channels.telegram_media import MediaKind, classify_media
+
+    assert classify_media("image/jpeg") == MediaKind.IMAGE
+    assert classify_media("image/png") == MediaKind.IMAGE
+    assert classify_media("image/webp") == MediaKind.IMAGE
+
+
+def test_classify_media_video():
+    """Test classification of video MIME types."""
+    from nanobot.channels.telegram_media import MediaKind, classify_media
+
+    assert classify_media("video/mp4") == MediaKind.VIDEO
+    assert classify_media("video/quicktime") == MediaKind.VIDEO
+
+
+def test_classify_media_audio():
+    """Test classification of audio MIME types."""
+    from nanobot.channels.telegram_media import MediaKind, classify_media
+
+    assert classify_media("audio/mpeg") == MediaKind.AUDIO
+    assert classify_media("audio/ogg") == MediaKind.AUDIO
+
+
+def test_classify_media_document():
+    """Test classification of document MIME types."""
+    from nanobot.channels.telegram_media import MediaKind, classify_media
+
+    assert classify_media("application/pdf") == MediaKind.DOCUMENT
+    assert classify_media("text/plain") == MediaKind.DOCUMENT
+    assert classify_media("application/octet-stream") == MediaKind.DOCUMENT
+
+
+def test_is_heic_format():
+    """Test HEIC format detection."""
+    from nanobot.channels.telegram_media import is_heic_format
+
+    assert is_heic_format("photo.heic") is True
+    assert is_heic_format("photo.HEIC") is True
+    assert is_heic_format("photo.heif") is True
+    assert is_heic_format("photo.jpg") is False
+
+
+def test_optimize_image_jpeg_quality(tmp_path):
+    """Test JPEG optimization reduces size with quality ladder."""
+    from nanobot.channels.telegram_media import optimize_image
+
+    # Create a large test image (3000x3000 RGB)
+    img = Image.new("RGB", (3000, 3000), color="red")
+    buf = io.BytesIO()
+    img.save(buf, format="JPEG", quality=95)
+    original_bytes = buf.getvalue()
+    original_size = len(original_bytes)
+
+    # Write to temp file
+    temp_file = tmp_path / "test.jpg"
+    temp_file.write_bytes(original_bytes)
+
+    # Optimize to 1MB max
+    optimized = optimize_image(str(temp_file), max_bytes=1_000_000)
+
+    # Should be smaller than original
+    assert len(optimized) < original_size
+    # Should be under limit
+    assert len(optimized) <= 1_000_000
+    # Should still be valid JPEG
+    assert optimized.startswith(b'\xff\xd8\xff')
+
+
+def test_optimize_image_png_preserve_alpha(tmp_path):
+    """Test PNG with alpha channel is preserved."""
+    from nanobot.channels.telegram_media import optimize_image
+
+    # Create PNG with alpha channel
+    img = Image.new("RGBA", (1000, 1000), color=(255, 0, 0, 128))
+    buf = io.BytesIO()
+    img.save(buf, format="PNG")
+    original_bytes = buf.getvalue()
+
+    # Write to temp file
+    temp_file = tmp_path / "test.png"
+    temp_file.write_bytes(original_bytes)
+
+    optimized = optimize_image(str(temp_file), max_bytes=5_000_000)
+
+    # Should still be PNG (PNG magic bytes)
+    assert optimized.startswith(b'\x89PNG')
+
+    # Load and verify alpha channel preserved
+    img_opt = Image.open(io.BytesIO(optimized))
+    assert img_opt.mode == "RGBA"
+
+
+@pytest.mark.asyncio
+async def test_fetch_media_success():
+    """Test fetching media from remote URL."""
+    from unittest.mock import AsyncMock, MagicMock, patch
+
+    from nanobot.channels.telegram_media import fetch_media
+
+    # Mock httpx response
+    mock_content = b"fake image data"
+    mock_response = MagicMock()
+    mock_response.content = mock_content
+    mock_response.headers = {"content-type": "image/jpeg"}
+    mock_response.raise_for_status = MagicMock()
+
+    with patch("httpx.AsyncClient") as mock_client:
+        mock_client.return_value.__aenter__.return_value.get = AsyncMock(return_value=mock_response)
+
+        content, mime = await fetch_media("https://example.com/image.jpg", max_bytes=10_000_000)
+
+        assert content == mock_content
+        assert mime == "image/jpeg"
+
+
+@pytest.mark.asyncio
+async def test_fetch_media_timeout():
+    """Test fetch media handles timeout."""
+    from unittest.mock import AsyncMock, patch
+
+    import httpx
+
+    from nanobot.channels.telegram_media import fetch_media
+
+    with patch("httpx.AsyncClient") as mock_client:
+        mock_client.return_value.__aenter__.return_value.get = AsyncMock(side_effect=httpx.TimeoutException("timeout"))
+
+        with pytest.raises(ValueError, match="timeout"):
+            await fetch_media("https://example.com/image.jpg", max_bytes=10_000_000)
+
+
+def test_group_media_all_images():
+    """Test grouping all images into album."""
+    from nanobot.channels.telegram_media import MediaKind, group_media_for_album
+
+    media_items = [
+        ("image1.jpg", MediaKind.IMAGE),
+        ("image2.png", MediaKind.IMAGE),
+        ("image3.jpeg", MediaKind.IMAGE),
+    ]
+
+    result = group_media_for_album(media_items)
+
+    assert result["album"] == ["image1.jpg", "image2.png", "image3.jpeg"]
+    assert result["separate"] == []
+
+
+def test_group_media_all_videos():
+    """Test grouping all videos into album."""
+    from nanobot.channels.telegram_media import MediaKind, group_media_for_album
+
+    media_items = [
+        ("video1.mp4", MediaKind.VIDEO),
+        ("video2.mov", MediaKind.VIDEO),
+    ]
+
+    result = group_media_for_album(media_items)
+
+    assert result["album"] == ["video1.mp4", "video2.mov"]
+    assert result["separate"] == []
+
+
+def test_group_media_mixed_types():
+    """Test mixed media types sent separately."""
+    from nanobot.channels.telegram_media import MediaKind, group_media_for_album
+
+    media_items = [
+        ("image.jpg", MediaKind.IMAGE),
+        ("video.mp4", MediaKind.VIDEO),
+        ("audio.mp3", MediaKind.AUDIO),
+    ]
+
+    result = group_media_for_album(media_items)
+
+    assert result["album"] == []
+    assert result["separate"] == ["image.jpg", "video.mp4", "audio.mp3"]
+
+
+def test_group_media_single_item():
+    """Test single media item sent separately (not as album)."""
+    from nanobot.channels.telegram_media import MediaKind, group_media_for_album
+
+    media_items = [("image.jpg", MediaKind.IMAGE)]
+
+    result = group_media_for_album(media_items)
+
+    assert result["album"] == []
+    assert result["separate"] == ["image.jpg"]

tests/test_telegram_suppress.py

@@ -0,0 +1,65 @@
+# tests/test_telegram_suppress.py
+import pytest
+from nanobot.bus.events import OutboundMessage
+from nanobot.channels.telegram import TelegramChannel
+from unittest.mock import AsyncMock, MagicMock
+
+
+@pytest.mark.asyncio
+async def test_suppressed_message_not_sent():
+    """Test that messages with suppressed=True metadata are not sent to Telegram API."""
+
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the internal _app and bot directly (skip start())
+    mock_app = MagicMock()
+    mock_bot = AsyncMock()
+    mock_app.bot = mock_bot
+    channel._app = mock_app
+
+    # Send a suppressed message
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="12345",
+        content="[HIDDEN] This should not be sent",
+        metadata={"suppressed": True}
+    )
+
+    await channel.send(msg)
+
+    # Verify bot.send_message was NOT called
+    mock_bot.send_message.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_normal_message_sent():
+    """Test that normal messages are sent to Telegram API."""
+
+    config = MagicMock()
+    config.token = "test-token"
+    bus = MagicMock()
+
+    channel = TelegramChannel(config, bus)
+
+    # Mock the internal _app and bot directly (skip start())
+    mock_app = MagicMock()
+    mock_bot = AsyncMock()
+    mock_app.bot = mock_bot
+    channel._app = mock_app
+
+    # Send a normal message
+    msg = OutboundMessage(
+        channel="telegram",
+        chat_id="12345",
+        content="Normal message",
+        metadata={}
+    )
+
+    await channel.send(msg)
+
+    # Verify bot.send_message WAS called
+    mock_bot.send_message.assert_called_once()

tests/test_visibility_signing.py

@@ -0,0 +1,505 @@
+# tests/test_visibility_signing.py
+import pytest
+from nanobot.agent.visibility import sign_content, verify_signature, has_forged_marker, strip_all_hidden_markers
+
+def test_sign_content_adds_hmac_marker():
+    """Test that sign_content adds HMAC signature prefix."""
+    content = "HEARTBEAT_OK"
+    result = sign_content(content)
+
+    # Should start with [HIDDEN:{8 hex chars}]
+    assert result.startswith("[HIDDEN:")
+    assert "] " in result
+    marker_end = result.index("] ")
+    signature = result[8:marker_end]  # Extract signature after "[HIDDEN:"
+    assert len(signature) == 8
+    assert all(c in "0123456789abcdef" for c in signature)
+
+    # Should contain original content
+    assert result.endswith("HEARTBEAT_OK")
+
+def test_sign_content_is_deterministic():
+    """Test that same content produces same signature."""
+    content = "Test message"
+    sig1 = sign_content(content)
+    sig2 = sign_content(content)
+    assert sig1 == sig2
+
+def test_verify_signature_accepts_valid():
+    """Test that verify_signature accepts validly signed content."""
+    signed = sign_content("Test message")
+    is_valid, clean = verify_signature(signed)
+
+    assert is_valid is True
+    assert clean == "Test message"
+
+def test_verify_signature_rejects_invalid():
+    """Test that verify_signature rejects forged signatures."""
+    forged = "[HIDDEN:deadbeef] Test message"
+    is_valid, clean = verify_signature(forged)
+
+    assert is_valid is False
+    assert clean == "Test message"
+
+def test_verify_signature_handles_unsigned():
+    """Test that unsigned content is marked as invalid."""
+    unsigned = "Plain message"
+    is_valid, clean = verify_signature(unsigned)
+
+    assert is_valid is False
+    assert clean == "Plain message"
+
+def test_has_forged_marker_detects_invalid():
+    """Test that has_forged_marker detects forged signatures."""
+    forged = "[HIDDEN:deadbeef] Content"
+    assert has_forged_marker(forged) is True
+
+def test_has_forged_marker_accepts_valid():
+    """Test that has_forged_marker accepts valid signatures."""
+    valid = sign_content("Content")
+    assert has_forged_marker(valid) is False
+
+def test_has_forged_marker_ignores_unsigned():
+    """Test that unsigned content is not flagged as forged."""
+    unsigned = "Plain content"
+    assert has_forged_marker(unsigned) is False
+
+def test_strip_all_hidden_markers_removes_markers():
+    """Test that strip_all_hidden_markers removes all markers."""
+    signed = sign_content("Message")
+    stripped = strip_all_hidden_markers(signed)
+    assert stripped == "Message"
+
+    forged = "[HIDDEN:deadbeef] Message"
+    stripped = strip_all_hidden_markers(forged)
+    assert stripped == "Message"
+
+def test_system_prompt_includes_visibility_docs(tmp_path):
+    """Test that system prompt documents visibility markers."""
+    from nanobot.agent.context import ContextBuilder
+
+    builder = ContextBuilder(workspace=tmp_path)
+    prompt = builder.build_system_prompt()
+
+    # Should document visibility markers
+    assert "[HIDDEN:" in prompt
+    assert "cryptographically signed" in prompt.lower()
+    assert "do not generate" in prompt.lower() or "don't generate" in prompt.lower()
+
+@pytest.mark.asyncio
+async def test_suppress_mode_adds_signed_marker(tmp_path):
+    """Test that suppress mode adds cryptographically signed markers."""
+    from unittest.mock import AsyncMock, Mock
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+    from nanobot.session.manager import SessionManager
+    from nanobot.providers.base import LLMResponse
+    from nanobot.bus.events import InboundMessage
+
+    # Setup
+    bus = MessageBus()
+    sessions = SessionManager(tmp_path)
+
+    # Mock provider
+    mock_provider = Mock()
+    mock_provider.default_model = "mock-model"
+    mock_provider.thinking_budget = 0
+
+    # Mock successful response
+    mock_response = LLMResponse(
+        content="Test response",
+        tool_calls=[],
+        reasoning_content=None
+    )
+    mock_provider.chat = AsyncMock(return_value=mock_response)
+
+    # Create agent loop
+    loop = AgentLoop(
+        provider=mock_provider,
+        bus=bus,
+        session_manager=sessions,
+        workspace=tmp_path
+    )
+
+    # Process message with suppress_output=True
+    msg = InboundMessage(
+        channel="test",
+        sender_id="user",
+        chat_id="123",
+        content="Test message",
+        metadata={"suppress_output": True}
+    )
+
+    response = await loop._process_message(msg)
+
+    # Verify response has suppressed metadata
+    assert response.metadata.get("suppressed") is True
+
+    # Verify session contains signed marker
+    session = sessions.get_or_create("test:123")
+    assistant_messages = [m for m in session.messages if m.get("role") == "assistant"]
+    assert len(assistant_messages) > 0
+
+    last_msg = assistant_messages[-1]["content"]
+    assert last_msg.startswith("[HIDDEN:")
+
+    # Verify signature is valid
+    is_valid, clean = verify_signature(last_msg)
+    assert is_valid is True
+    assert clean == "Test response"
+
+@pytest.mark.asyncio
+async def test_no_marker_accumulation_with_real_provider(tmp_path):
+    """
+    CRITICAL TEST: Verify markers don't accumulate when model sees them in context.
+
+    This test uses a semi-realistic provider that sees the context and could
+    potentially copy markers, unlike pure mocks that don't see context at all.
+    """
+    from unittest.mock import AsyncMock, Mock
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+    from nanobot.session.manager import SessionManager
+    from nanobot.providers.base import LLMResponse
+    from nanobot.bus.events import InboundMessage
+    import re
+
+    # Setup
+    bus = MessageBus()
+    sessions = SessionManager(tmp_path)
+
+    # Create a provider that SEES context and simulates potential copying behavior
+    class ContextAwareProvider:
+        """Provider that sees context and could copy markers (simulating real LLM)."""
+        default_model = "test-model"
+        thinking_budget = 0
+
+        def __init__(self):
+            self.call_count = 0
+            self.last_context = None
+
+        def get_default_model(self) -> str:
+            """Get the default model."""
+            return self.default_model
+
+        async def chat(self, messages, **kwargs):
+            self.call_count += 1
+            self.last_context = messages
+
+            # Count markers in non-system messages (system prompt has 2 mentions in docs)
+            marker_count = sum(
+                msg.get("content", "").count("[HIDDEN:")
+                for msg in messages
+                if isinstance(msg.get("content"), str) and msg.get("role") != "system"
+            )
+
+            # Simulate model behavior: on first call (msg 2), sees 1 marker from msg 1
+            # The model should NOT copy it
+            if self.call_count == 2:
+                # Verify context has exactly 1 marker in assistant messages (from message 1)
+                assert marker_count == 1, f"Expected 1 marker in context, found {marker_count}"
+
+            # Always return clean response (good model behavior)
+            return LLMResponse(
+                content=f"Response {self.call_count}",
+                tool_calls=[],
+                reasoning_content=None
+            )
+
+    provider = ContextAwareProvider()
+
+    # Create agent loop
+    loop = AgentLoop(
+        provider=provider,
+        bus=bus,
+        session_manager=sessions,
+        workspace=tmp_path
+    )
+
+    # Use unique chat_id for this test to avoid pollution from previous runs
+    import time
+    test_chat_id = f"test_accumulation_{int(time.time()*1000)}"
+
+    # Message 1: suppress_output=True → should add signed marker
+    msg1 = InboundMessage(
+        channel="test",
+        sender_id="user",
+        chat_id=test_chat_id,
+        content="Hidden message 1",
+        metadata={"suppress_output": True}
+    )
+
+    await loop._process_message(msg1)
+
+    # Verify message 1 has signed marker
+    session = sessions.get_or_create(f"test:{test_chat_id}")
+    assistant_msgs = [m for m in session.messages if m.get("role") == "assistant"]
+    assert len(assistant_msgs) == 1
+    msg1_content = assistant_msgs[0]["content"]
+    assert msg1_content.startswith("[HIDDEN:")
+    is_valid, clean = verify_signature(msg1_content)
+    assert is_valid is True
+    assert clean == "Response 1"
+
+    # Count markers in session after message 1
+    marker_count_1 = sum(m.get("content", "").count("[HIDDEN:") for m in session.messages if isinstance(m.get("content"), str))
+    assert marker_count_1 == 1, f"Expected 1 marker after msg1, found {marker_count_1}"
+
+    # Message 2: Normal message (context includes message 1 with marker)
+    msg2 = InboundMessage(
+        channel="test",
+        sender_id="user",
+        chat_id=test_chat_id,
+        content="Normal message 2",
+        metadata={}
+    )
+
+    await loop._process_message(msg2)
+
+    # Verify message 2 response does NOT start with [HIDDEN: (model didn't copy)
+    session = sessions.get_or_create(f"test:{test_chat_id}")
+    assistant_msgs = [m for m in session.messages if m.get("role") == "assistant"]
+    assert len(assistant_msgs) == 2
+    msg2_content = assistant_msgs[1]["content"]
+    assert not msg2_content.startswith("[HIDDEN:"), f"Message 2 should not start with [HIDDEN:, got: {msg2_content}"
+
+    # Verify still only 1 marker in session (no accumulation)
+    marker_count_2 = sum(m.get("content", "").count("[HIDDEN:") for m in session.messages if isinstance(m.get("content"), str))
+    assert marker_count_2 == 1, f"Expected 1 marker after msg2, found {marker_count_2} (ACCUMULATION DETECTED)"
+
+    # Message 3: Another suppress_output=True → should add SECOND signed marker
+    msg3 = InboundMessage(
+        channel="test",
+        sender_id="user",
+        chat_id=test_chat_id,
+        content="Hidden message 3",
+        metadata={"suppress_output": True}
+    )
+
+    await loop._process_message(msg3)
+
+    # Verify message 3 has signed marker
+    session = sessions.get_or_create(f"test:{test_chat_id}")
+    assistant_msgs = [m for m in session.messages if m.get("role") == "assistant"]
+    assert len(assistant_msgs) == 3
+    msg3_content = assistant_msgs[2]["content"]
+    assert msg3_content.startswith("[HIDDEN:")
+    is_valid, clean = verify_signature(msg3_content)
+    assert is_valid is True
+    assert clean == "Response 3"
+
+    # Verify exactly 2 markers in session (one from msg1, one from msg3)
+    marker_count_3 = sum(m.get("content", "").count("[HIDDEN:") for m in session.messages if isinstance(m.get("content"), str))
+    assert marker_count_3 == 2, f"Expected 2 markers after msg3, found {marker_count_3}"
+
+    # CRITICAL: Verify no double/triple markers like "[HIDDEN: [HIDDEN: [HIDDEN: message"
+    for msg in session.messages:
+        content = msg.get("content", "")
+        if isinstance(content, str) and "[HIDDEN:" in content:
+            # Count occurrences of [HIDDEN: pattern in this single message
+            hidden_count = content.count("[HIDDEN:")
+            assert hidden_count == 1, f"Message has {hidden_count} [HIDDEN: markers (accumulation): {content[:100]}"
+
+@pytest.mark.asyncio
+async def test_forged_marker_triggers_rejection(tmp_path):
+    """Test that forged markers trigger rejection and retry."""
+    from unittest.mock import AsyncMock, Mock
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+    from nanobot.session.manager import SessionManager
+    from nanobot.providers.base import LLMResponse
+    from nanobot.bus.events import InboundMessage
+
+    # Setup
+    bus = MessageBus()
+    sessions = SessionManager(tmp_path)
+
+    # Mock provider
+    mock_provider = Mock()
+    mock_provider.default_model = "mock-model"
+    mock_provider.thinking_budget = 0
+
+    # First response: model tries to forge marker
+    forged_response = LLMResponse(
+        content="[HIDDEN:deadbeef] Forged message",
+        tool_calls=[],
+        reasoning_content=None
+    )
+
+    # Second response: clean response after correction
+    clean_response = LLMResponse(
+        content="Clean message",
+        tool_calls=[],
+        reasoning_content=None
+    )
+
+    mock_provider.chat = AsyncMock(side_effect=[forged_response, clean_response])
+
+    # Create agent loop
+    loop = AgentLoop(
+        provider=mock_provider,
+        bus=bus,
+        session_manager=sessions,
+        workspace=tmp_path
+    )
+
+    # Process message with suppress_output=True
+    msg = InboundMessage(
+        channel="test",
+        sender_id="user",
+        chat_id="123",
+        content="Test message",
+        metadata={"suppress_output": True}
+    )
+
+    response = await loop._process_message(msg)
+
+    # Verify provider.chat was called twice (initial + retry)
+    assert mock_provider.chat.call_count == 2
+
+    # Verify second call included correction message
+    second_call_messages = mock_provider.chat.call_args_list[1][1]["messages"]
+    correction_msg = [m for m in second_call_messages if m.get("role") == "user" and "rejected" in m.get("content", "").lower()]
+    assert len(correction_msg) > 0
+
+    # Verify final response uses clean content (not forged)
+    session = sessions.get_or_create("test:123")
+    assistant_messages = [m for m in session.messages if m.get("role") == "assistant"]
+    last_msg = assistant_messages[-1]["content"]
+
+    # Should be signed version of "Clean message", not "Forged message"
+    is_valid, clean = verify_signature(last_msg)
+    assert is_valid is True
+    assert clean == "Clean message"
+
+@pytest.mark.asyncio
+async def test_system_message_handler_uses_signed_markers(tmp_path):
+    """Test that _process_system_message uses signed markers in suppress mode."""
+    from unittest.mock import AsyncMock, Mock
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+    from nanobot.session.manager import SessionManager
+    from nanobot.providers.base import LLMResponse
+    from nanobot.bus.events import InboundMessage
+
+    # Setup
+    bus = MessageBus()
+    sessions = SessionManager(tmp_path)
+
+    # Mock provider
+    mock_provider = Mock()
+    mock_provider.default_model = "mock-model"
+    mock_provider.thinking_budget = 0
+    mock_response = LLMResponse(
+        content="System response",
+        tool_calls=[],
+        reasoning_content=None
+    )
+    mock_provider.chat = AsyncMock(return_value=mock_response)
+
+    # Create agent loop
+    loop = AgentLoop(
+        provider=mock_provider,
+        bus=bus,
+        session_manager=sessions,
+        workspace=tmp_path
+    )
+
+    # Process system message with suppress_output=True
+    msg = InboundMessage(
+        channel="system",
+        sender_id="subagent",
+        chat_id="test:123",
+        content="[Subagent completed] Result: OK",
+        metadata={"suppress_output": True}
+    )
+
+    response = await loop._process_system_message(msg)
+
+    # Verify response has suppressed metadata
+    assert response.metadata.get("suppressed") is True
+
+    # Verify session contains signed marker
+    session = sessions.get_or_create("test:123")
+    assistant_messages = [m for m in session.messages if m.get("role") == "assistant"]
+    assert len(assistant_messages) > 0
+
+    last_msg = assistant_messages[-1]["content"]
+    assert last_msg.startswith("[HIDDEN:")
+
+    # Verify signature is valid
+    is_valid, clean = verify_signature(last_msg)
+    assert is_valid is True
+    assert clean == "System response"
+
+@pytest.mark.asyncio
+async def test_system_message_handler_rejects_forged_markers(tmp_path):
+    """Test that _process_system_message rejects forged markers."""
+    from unittest.mock import AsyncMock, Mock
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.bus.queue import MessageBus
+    from nanobot.session.manager import SessionManager
+    from nanobot.providers.base import LLMResponse
+    from nanobot.bus.events import InboundMessage
+
+    # Setup
+    bus = MessageBus()
+    sessions = SessionManager(tmp_path)
+
+    # Mock provider
+    mock_provider = Mock()
+    mock_provider.default_model = "mock-model"
+    mock_provider.thinking_budget = 0
+
+    # First response: model tries to forge marker
+    forged_response = LLMResponse(
+        content="[HIDDEN:deadbeef] Forged system message",
+        tool_calls=[],
+        reasoning_content=None
+    )
+
+    # Second response: clean response after correction
+    clean_response = LLMResponse(
+        content="Clean system response",
+        tool_calls=[],
+        reasoning_content=None
+    )
+
+    mock_provider.chat = AsyncMock(side_effect=[forged_response, clean_response])
+
+    # Create agent loop
+    loop = AgentLoop(
+        provider=mock_provider,
+        bus=bus,
+        session_manager=sessions,
+        workspace=tmp_path
+    )
+
+    # Process system message with suppress_output=True
+    msg = InboundMessage(
+        channel="system",
+        sender_id="subagent",
+        chat_id="test:456",
+        content="[Subagent completed] Result: OK",
+        metadata={"suppress_output": True}
+    )
+
+    response = await loop._process_system_message(msg)
+
+    # Verify provider.chat was called twice (initial + retry)
+    assert mock_provider.chat.call_count == 2
+
+    # Verify second call included correction message
+    second_call_messages = mock_provider.chat.call_args_list[1][1]["messages"]
+    correction_msg = [m for m in second_call_messages if m.get("role") == "user" and "rejected" in m.get("content", "").lower()]
+    assert len(correction_msg) > 0
+
+    # Verify final response uses clean content (not forged)
+    session = sessions.get_or_create("test:456")
+    assistant_messages = [m for m in session.messages if m.get("role") == "assistant"]
+    last_msg = assistant_messages[-1]["content"]
+
+    # Should be signed version of "Clean system response", not "Forged system message"
+    is_valid, clean = verify_signature(last_msg)
+    assert is_valid is True
+    assert clean == "Clean system response"