Upload app.py

app.py

@@ -193,10 +193,31 @@ def chat_completions(
                     "tool_call_id": m.get("tool_call_id", ""),
                 })
             elif role == "assistant" and m.get("tool_calls"):
+                # Normalise tool_calls: apply_chat_template needs arguments as a dict,
+                # but OpenAI format (and our own output) stores them as a JSON string.
+                normalised_tool_calls = []
+                for tc in m["tool_calls"]:
+                    fn = tc.get("function", {})
+                    raw_args = fn.get("arguments", "{}")
+                    if isinstance(raw_args, str):
+                        try:
+                            parsed_args = json.loads(raw_args)
+                        except json.JSONDecodeError:
+                            parsed_args = {}
+                    else:
+                        parsed_args = raw_args  # already a dict
+                    normalised_tool_calls.append({
+                        "id": tc.get("id", ""),
+                        "type": "function",
+                        "function": {
+                            "name": fn.get("name", ""),
+                            "arguments": parsed_args,  # dict, not string
+                        },
+                    })
                 hf_messages.append({
                     "role": "assistant",
                     "content": m.get("content") or "",
-                    "tool_calls": m["tool_calls"],
+                    "tool_calls": normalised_tool_calls,
                 })
             else:
                 hf_messages.append({"role": role, "content": m.get("content", "")})