feat!: Full code can now be generated by an external model and shared with the AI tool (Claude Code / Codex etc)!

model definitions now support a new `allow_code_generation` flag, only to be used with higher reasoning models such as GPT-5-Pro and-Gemini 2.5-Pro

 When `true`, the `chat` tool can now request the external model to generate a full implementation / update / instructions etc and then share the implementation with the calling agent.

 This effectively allows us to utilize more powerful models such as GPT-5-Pro to generate code for us or entire implementations (which are either API-only or part of the $200 Pro plan from within the ChatGPT app)

tests/test_chat_cross_model_continuation.py

@@ -55,7 +55,7 @@ def _extract_number(text: str) -> str:
 
 @pytest.mark.asyncio
 @pytest.mark.no_mock_provider
-async def test_chat_cross_model_continuation(monkeypatch):
+async def test_chat_cross_model_continuation(monkeypatch, tmp_path):
     """Verify continuation across Gemini then OpenAI using recorded interactions."""
 
     env_updates = {
@@ -115,10 +115,13 @@ async def test_chat_cross_model_continuation(monkeypatch):
         m.setattr(conversation_memory.uuid, "uuid4", lambda: FIXED_THREAD_ID)
 
         chat_tool = ChatTool()
+        working_directory = str(tmp_path)
+
         step1_args = {
             "prompt": "Pick a number between 1 and 10 and respond with JUST that number.",
             "model": "gemini-2.5-flash",
             "temperature": 0.2,
+            "working_directory": working_directory,
         }
 
         step1_result = await chat_tool.execute(step1_args)
@@ -183,6 +186,7 @@ async def test_chat_cross_model_continuation(monkeypatch):
             "model": "gpt-5",
             "continuation_id": continuation_id,
             "temperature": 0.2,
+            "working_directory": working_directory,
         }
 
         step2_result = await chat_tool.execute(step2_args)