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Adds Supports for OpenAI Reasoning Models #3530
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@@ -374,6 +374,22 @@ def get_usage(response: Union[ChatCompletion, Completion]) -> Dict: | |
} | ||
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class OpenAI_O1(OpenAIClient): | ||
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def __init__(self, **kwargs): | ||
super().__init__(OpenAI(**kwargs)) | ||
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def create(self, params: Dict[str, Any]) -> ChatCompletion: | ||
print(params["messages"]) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. o1 models do not support streaming, tooling and func calling also, in this case should we restrict the usage here ? |
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# replace any message with the role "system" to role "assistant" to avoid errors | ||
for message in params["messages"]: | ||
if message["role"] == "system": | ||
message["role"] = "assistant" | ||
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# pass the message to the create method of the parent class | ||
return super().create(params) | ||
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class OpenAIWrapper: | ||
"""A wrapper class for openai client.""" | ||
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@@ -532,6 +548,9 @@ def _register_default_client(self, config: Dict[str, Any], openai_config: Dict[s | |
raise ImportError("Please install `anthropic` to use Anthropic API.") | ||
client = AnthropicClient(**openai_config) | ||
self._clients.append(client) | ||
elif api_type is not None and api_type.startswith("openai-o1"): | ||
client = OpenAI_O1(**openai_config) | ||
self._clients.append(client) | ||
elif api_type is not None and api_type.startswith("mistral"): | ||
if mistral_import_exception: | ||
raise ImportError("Please install `mistralai` to use the Mistral.AI API.") | ||
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,8 @@ | ||
from autogen import AssistantAgent, UserProxyAgent, config_list_from_json | ||
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config_list = [{"api_type": "openai-o1", "model": "o1-mini"}] | ||
assistant = AssistantAgent("assistant", llm_config={"config_list": config_list}) | ||
user_proxy = UserProxyAgent( | ||
"user_proxy", code_execution_config={"work_dir": "coding", "use_docker": False} | ||
) # IMPORTANT: set to True to run code in docker, recommended | ||
user_proxy.initiate_chat(assistant, message="Save a chart of NVDA and TESLA stock price change YTD.") |
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is the print statement required here ?