nanobot/providers/anthropic_oauth.py

@@ -257,9 +257,10 @@ class AnthropicOAuthProvider(LLMProvider):
             payload["tools"] = tools
 
         logger.info(
-            "Anthropic request: model=%s max_tokens=%d thinking=%s",
+            "Anthropic request: model={} max_tokens={} thinking={} tools={}",
             payload.get("model"), payload.get("max_tokens"),
             payload.get("thinking", "disabled"),
+            len(payload.get("tools", [])),
         )
 
         response = await client.post(
@@ -348,25 +349,19 @@ class AnthropicOAuthProvider(LLMProvider):
                 ),
             }
 
-        # Log usage and thinking info
-        if thinking_blocks:
-            thinking_chars = sum(len(b.get("thinking", "")) for b in thinking_blocks)
+        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
         logger.info(
-                "Anthropic response: %d thinking block(s) (%d chars), "
-                "input=%d output=%d tokens",
-                len(thinking_blocks), thinking_chars,
-                usage.get("prompt_tokens", 0), usage.get("completion_tokens", 0),
-            )
-        else:
-            logger.info(
-                "Anthropic response: no thinking blocks, input=%d output=%d tokens",
+            "Anthropic response: stop={} tool_calls={} thinking={} chars, "
+            "input={} output={} tokens",
+            stop_reason, len(tool_calls), thinking_chars,
             usage.get("prompt_tokens", 0), usage.get("completion_tokens", 0),
         )
 
         return LLMResponse(
             content=text_content or None,
             tool_calls=tool_calls,
-            finish_reason=response.get("stop_reason", "end_turn"),
+            finish_reason=stop_reason,
             usage=usage,
             reasoning_content=thinking_blocks or None,
         )