nanobot/cli/commands.py

@@ -235,6 +235,7 @@ def _make_provider(config: Config):
         api_base=config.get_api_base(model),
         extra_headers=p.extra_headers if p else None,
         provider_name=provider_name,
+        thinking_budget=config.agents.defaults.thinking_budget,
     )
 
 

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):

nanobot/providers/__init__.py

@@ -23,6 +23,7 @@ def create_provider(
     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.
 
@@ -34,6 +35,7 @@ def create_provider(
             oauth_token=api_key,
             default_model=model,
             api_base=api_base,
+            thinking_budget=thinking_budget,
         )
 
     return LiteLLMProvider(

nanobot/providers/anthropic_oauth.py

@@ -28,10 +28,12 @@ class AnthropicOAuthProvider(LLMProvider):
         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]:
@@ -93,6 +95,12 @@ class AnthropicOAuthProvider(LLMProvider):
             if role == "assistant" and msg.get("tool_calls"):
                 # Convert OpenAI tool_calls to Anthropic content blocks
                 content_blocks: list[dict[str, Any]] = []
+                # Preserve thinking block if present
+                if msg.get("reasoning_content"):
+                    content_blocks.append({
+                        "type": "thinking",
+                        "thinking": msg["reasoning_content"],
+                    })
                 text = msg.get("content")
                 if text:
                     content_blocks.append({"type": "text", "text": text})
@@ -113,6 +121,17 @@ class AnthropicOAuthProvider(LLMProvider):
                 converted.append({"role": "assistant", "content": content_blocks})
                 continue
 
+            if role == "assistant" and msg.get("reasoning_content"):
+                # Plain assistant message with thinking (no tool calls)
+                content_blocks = [
+                    {"type": "thinking", "thinking": msg["reasoning_content"]},
+                ]
+                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 = {
@@ -186,9 +205,21 @@ class AnthropicOAuthProvider(LLMProvider):
             "model": model,
             "messages": messages,
             "max_tokens": max_tokens,
-            "temperature": temperature,
         }
 
+        # Extended thinking: temperature must be 1 when enabled
+        if self.thinking_budget > 0:
+            payload["temperature"] = 1
+            # max_tokens must exceed budget_tokens
+            if max_tokens <= self.thinking_budget:
+                payload["max_tokens"] = self.thinking_budget + 4096
+            payload["thinking"] = {
+                "type": "enabled",
+                "budget_tokens": self.thinking_budget,
+            }
+        else:
+            payload["temperature"] = temperature
+
         if system:
             payload["system"] = system
 
@@ -249,10 +280,13 @@ class AnthropicOAuthProvider(LLMProvider):
         content_blocks = response.get("content", [])
 
         text_content = ""
+        thinking_content = ""
         tool_calls = []
 
         for block in content_blocks:
-            if block.get("type") == "text":
+            if block.get("type") == "thinking":
+                thinking_content += block.get("thinking", "")
+            elif block.get("type") == "text":
                 text_content += block.get("text", "")
             elif block.get("type") == "tool_use":
                 tool_calls.append(ToolCallRequest(
@@ -277,6 +311,7 @@ class AnthropicOAuthProvider(LLMProvider):
             tool_calls=tool_calls,
             finish_reason=response.get("stop_reason", "end_turn"),
             usage=usage,
+            reasoning_content=thinking_content or None,
         )
 
     def get_default_model(self) -> str: