fix: add tool parsing to federation path and debug logging

- Add tool call parsing when using federation (was missing)
- Add debug output showing which peers are being contacted
- Fix variable shadowing in tool_calls parsing

src/api/routes.py

@@ -317,6 +317,26 @@ async def chat_completions(request: ChatCompletionRequest):
                     response_text = result.final_response
                     tokens_generated = len(response_text.split())  # Rough estimate
                     
+                    # Parse tool calls if tools were provided
+                    content = response_text
+                    tool_calls = []
+                    finish_reason = "stop"
+                    
+                    if has_tools:
+                        content, tool_calls_parsed = parse_tool_calls(response_text)
+                        if tool_calls_parsed:
+                            finish_reason = "tool_calls"
+                            # Convert to ToolCall objects
+                            from api.models import ToolCall
+                            tool_calls = [
+                                ToolCall(
+                                    id=tc.get("id", f"call_{i}"),
+                                    type=tc.get("type", "function"),
+                                    function=tc.get("function", {})
+                                )
+                                for i, tc in enumerate(tool_calls_parsed)
+                            ]
+                    
                     # Estimate prompt tokens (rough approximation)
                     prompt_tokens = len(prompt) // 4
                     
@@ -329,10 +349,10 @@ async def chat_completions(request: ChatCompletionRequest):
                                 index=0,
                                 message=ChatMessage(
                                     role="assistant",
-                                    content=response_text,
-                                    tool_calls=[]
+                                    content=content,
+                                    tool_calls=tool_calls
                                 ),
-                                finish_reason="stop"
+                                finish_reason=finish_reason
                             )
                         ],
                         usage=UsageInfo(
@@ -359,8 +379,8 @@ async def chat_completions(request: ChatCompletionRequest):
             finish_reason = "stop"
             
             if has_tools:
-                content, tool_calls = parse_tool_calls(response_text)
-                if tool_calls:
+                content, tool_calls_parsed = parse_tool_calls(response_text)
+                if tool_calls_parsed:
                     finish_reason = "tool_calls"
                     # Convert to ToolCall objects
                     from api.models import ToolCall
@@ -370,7 +390,7 @@ async def chat_completions(request: ChatCompletionRequest):
                             type=tc.get("type", "function"),
                             function=tc.get("function", {})
                         )
-                        for i, tc in enumerate(tool_calls)
+                        for i, tc in enumerate(tool_calls_parsed)
                     ]
             
             # Estimate prompt tokens (rough approximation)

src/network/federation.py

@@ -208,6 +208,8 @@ class FederatedSwarm:
             )
 
         print(f"  🌐 Requesting votes from {len(peers)} peer(s)...")
+        for peer in peers:
+            print(f"    → Contacting {peer.name} at {peer.api_url}")
 
         peer_votes = []
         vote_tasks = [