revert changes with planning step for now

vision_agent/tools/meta_tools.py

@@ -424,9 +424,6 @@ def generate_vision_code(
  name: str,
  chat: str,
  media: List[str],
- plan: Optional[Dict[str, Union[str, List[str]]]] = None,
- plan_thoughts: Optional[str] = None,
- plan_context_artifact: Optional[str] = None,
  test_multi_plan: bool = True,
  custom_tool_names: Optional[List[str]] = None,
 ) -> str:
@@ -437,10 +434,6 @@ def generate_vision_code(
  name (str): The name of the artifact to save the code to.
  chat (str): The chat message from the user.
  media (List[str]): The media files to use.
- plan (Optional[Dict[str, Union[str, List[str]]]): The plan to use to generate
- the code.
- plan_thoughts (Optional[str]): The thoughts to use to generate the code.
- plan_context_artifact (Optional[str]): The artifact name of the stored plan context.
  test_multi_plan (bool): Do not change this parameter.
  custom_tool_names (Optional[List[str]]): Do not change this parameter.
 
@@ -466,26 +459,11 @@ def detect_dogs(image_path: str):
  agent = va.agent.VisionAgentCoder(verbosity=int(VERBOSITY))
 
  fixed_chat: List[Message] = [{"role": "user", "content": chat, "media": media}]
- if plan is None or plan_thoughts is None or plan_context_artifact is None:
- response = agent.generate_code(
- fixed_chat,
- test_multi_plan=test_multi_plan,
- custom_tool_names=custom_tool_names,
- )
- else:
- plan_context = json.loads(artifacts[plan_context_artifact])
- plan_context = va.agent.PlanContext(
- plans={"plan1": plan},
- best_plan="plan1",
- plan_thoughts=plan_thoughts,
- tool_output=plan_context["tool_output"],
- tool_doc=plan_context["tool_doc"],
- test_results=None,
- )
- response = agent.generate_code_from_plan(
- fixed_chat,
- plan_context,
- )
+ response = agent.generate_code(
+ fixed_chat,
+ test_multi_plan=test_multi_plan,
+ custom_tool_names=custom_tool_names,
+ )
  redisplay_results(response["test_result"])
  code = response["code"]
  artifacts[name] = code