fixed comments

vision_agent/agent/vision_agent_coder.py

@@ -615,23 +615,24 @@ def __init__(
  """Initialize the Vision Agent Coder.
 
  Parameters:
- planner (Optional[LMM]): The planner model to use. Defaults to OpenAILMM.
- coder (Optional[LMM]): The coder model to use. Defaults to OpenAILMM.
- tester (Optional[LMM]): The tester model to use. Defaults to OpenAILMM.
- debugger (Optional[LMM]): The debugger model to
+ planner (Optional[LMM]): The planner model to use. Defaults to AnthropicLMM.
+ coder (Optional[LMM]): The coder model to use. Defaults to AnthropicLMM.
+ tester (Optional[LMM]): The tester model to use. Defaults to AnthropicLMM.
+ debugger (Optional[LMM]): The debugger model to use. Defaults to AnthropicLMM.
  tool_recommender (Optional[Sim]): The tool recommender model to use.
  verbosity (int): The verbosity level of the agent. Defaults to 0. 2 is the
  highest verbosity level which will output all intermediate debugging
  code.
- report_progress_callback: a callback to report the progress of the agent.
- This is useful for streaming logs in a web application where multiple
- VisionAgentCoder instances are running in parallel. This callback
- ensures that the progress are not mixed up.
- code_sandbox_runtime: the code sandbox runtime to use. A code sandbox is
- used to run the generated code. It can be one of the following
- values: None, "local" or "e2b". If None, VisionAgentCoder will read
- the value from the environment variable CODE_SANDBOX_RUNTIME. If it's
- also None, the local python runtime environment will be used.
+ report_progress_callback (Optional[Callable[Dict[str, Any]]]): a callback
+ to report the progress of the agent. This is useful for streaming logs
+ in a web application where multiple VisionAgentCoder instances are
+ running in parallel. This callback ensures that the progress are not
+ mixed up.
+ code_sandbox_runtime (Optional[str]): the code sandbox runtime to use. A
+ code sandbox is used to run the generated code. It can be one of the
+ following values: None, "local" or "e2b". If None, VisionAgentCoder
+ will read the value from the environment variable CODE_SANDBOX_RUNTIME.
+ If it's also None, the local python runtime environment will be used.
  """
 
  self.planner = AnthropicLMM(temperature=0.0) if planner is None else planner