CoACT initialize (#292)

mm_agents/coact/autogen/oai/oai_models/chat_completion.py

@@ -0,0 +1,87 @@
+# Copyright (c) 2023 - 2025, AG2ai, Inc., AG2ai open-source projects maintainers and core contributors
+#
+# SPDX-License-Identifier: Apache-2.0
+
+# Taken over from https://github.com/openai/openai-python/blob/3e69750d47df4f0759d4a28ddc68e4b38756d9ca/src/openai/types/chat/chat_completion.py
+
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Any, Callable, List, Optional
+
+from typing_extensions import Literal
+
+from ._models import BaseModel
+from .chat_completion_message import ChatCompletionMessage
+from .chat_completion_token_logprob import ChatCompletionTokenLogprob
+from .completion_usage import CompletionUsage
+
+__all__ = ["ChatCompletion", "Choice", "ChoiceLogprobs"]
+
+
+class ChoiceLogprobs(BaseModel):
+    content: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message content tokens with log probability information."""
+
+    refusal: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message refusal tokens with log probability information."""
+
+
+class Choice(BaseModel):
+    finish_reason: Literal["stop", "length", "tool_calls", "content_filter", "function_call"]
+    """The reason the model stopped generating tokens.
+
+    This will be `stop` if the model hit a natural stop point or a provided stop
+    sequence, `length` if the maximum number of tokens specified in the request was
+    reached, `content_filter` if content was omitted due to a flag from our content
+    filters, `tool_calls` if the model called a tool, or `function_call`
+    (deprecated) if the model called a function.
+    """
+
+    index: int
+    """The index of the choice in the list of choices."""
+
+    logprobs: Optional[ChoiceLogprobs] = None
+    """Log probability information for the choice."""
+
+    message: ChatCompletionMessage
+    """A chat completion message generated by the model."""
+
+
+class ChatCompletion(BaseModel):
+    id: str
+    """A unique identifier for the chat completion."""
+
+    choices: List[Choice]
+    """A list of chat completion choices.
+
+    Can be more than one if `n` is greater than 1.
+    """
+
+    created: int
+    """The Unix timestamp (in seconds) of when the chat completion was created."""
+
+    model: str
+    """The model used for the chat completion."""
+
+    object: Literal["chat.completion"]
+    """The object type, which is always `chat.completion`."""
+
+    service_tier: Optional[Literal["auto", "default", "flex", "scale"]] = None
+    """The service tier used for processing the request."""
+
+    system_fingerprint: Optional[str] = None
+    """This fingerprint represents the backend configuration that the model runs with.
+
+    Can be used in conjunction with the `seed` request parameter to understand when
+    backend changes have been made that might impact determinism.
+    """
+
+    usage: Optional[CompletionUsage] = None
+    """Usage statistics for the completion request."""
+
+
+class ChatCompletionExtended(ChatCompletion):
+    message_retrieval_function: Optional[Callable[[Any, "ChatCompletion"], list[ChatCompletionMessage]]] = None
+    config_id: Optional[str] = None
+    pass_filter: Optional[Callable[..., bool]] = None
+    cost: Optional[float] = None