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fix: Normalize openai client stop reason to make more robust (#5027)
* Normalize stop reason to make more robust * format * add unknown finish reason
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@ -52,7 +52,7 @@ class RequestUsage:
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completion_tokens: int
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FinishReasons = Literal["stop", "length", "function_calls", "content_filter"]
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FinishReasons = Literal["stop", "length", "function_calls", "content_filter", "unknown"]
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@dataclass
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@ -30,6 +30,7 @@ from autogen_core import (
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Image,
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MessageHandlerContext,
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)
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from autogen_core.models import FinishReasons
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from autogen_core.logging import LLMCallEvent
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from autogen_core.models import (
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AssistantMessage,
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@ -327,6 +328,21 @@ def assert_valid_name(name: str) -> str:
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return name
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def normalize_stop_reason(stop_reason: str | None) -> FinishReasons:
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if stop_reason is None:
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return "unknown"
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# Convert to lower case
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stop_reason = stop_reason.lower()
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KNOWN_STOP_MAPPINGS: Dict[str, FinishReasons] = {
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"end_turn": "stop",
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"tool_calls": "function_calls",
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}
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return KNOWN_STOP_MAPPINGS.get(stop_reason, "unknown")
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class BaseOpenAIChatCompletionClient(ChatCompletionClient):
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def __init__(
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self,
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@ -747,8 +763,8 @@ class BaseOpenAIChatCompletionClient(ChatCompletionClient):
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else:
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prompt_tokens = 0
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if stop_reason is None:
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raise ValueError("No stop reason found")
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if stop_reason == "function_call":
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raise ValueError("Function calls are not supported in this context")
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content: Union[str, List[FunctionCall]]
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if len(content_deltas) > 1:
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@ -770,13 +786,9 @@ class BaseOpenAIChatCompletionClient(ChatCompletionClient):
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prompt_tokens=prompt_tokens,
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completion_tokens=completion_tokens,
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)
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if stop_reason == "function_call":
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raise ValueError("Function calls are not supported in this context")
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if stop_reason == "tool_calls":
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stop_reason = "function_calls"
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result = CreateResult(
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finish_reason=stop_reason, # type: ignore
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finish_reason=normalize_stop_reason(stop_reason),
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content=content,
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usage=usage,
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cached=False,
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