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ensure messages is of the correct type
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1 changed files with 28 additions and 1 deletions
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@ -18,7 +18,15 @@ from pydantic import BaseModel
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from llama_stack.apis.batches import Batches, BatchObject, ListBatchesResponse
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from llama_stack.apis.common.errors import ConflictError, ResourceNotFoundError
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from llama_stack.apis.files import Files, OpenAIFilePurpose
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from llama_stack.apis.inference import Inference
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from llama_stack.apis.inference import (
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Inference,
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OpenAIAssistantMessageParam,
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OpenAIDeveloperMessageParam,
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OpenAIMessageParam,
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OpenAISystemMessageParam,
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OpenAIToolMessageParam,
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OpenAIUserMessageParam,
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)
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from llama_stack.apis.models import Models
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from llama_stack.log import get_logger
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from llama_stack.providers.utils.kvstore import KVStore
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@ -65,6 +73,24 @@ class BatchRequest(BaseModel):
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body: dict[str, Any]
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def convert_to_openai_message_param(msg: dict[str, Any]) -> OpenAIMessageParam:
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"""Convert a message dictionary to OpenAIMessageParam based on role."""
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role = msg.get("role")
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if role == "user":
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return OpenAIUserMessageParam(**msg)
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elif role == "system":
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return OpenAISystemMessageParam(**msg)
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elif role == "assistant":
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return OpenAIAssistantMessageParam(**msg)
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elif role == "tool":
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return OpenAIToolMessageParam(**msg)
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elif role == "developer":
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return OpenAIDeveloperMessageParam(**msg)
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else:
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raise ValueError(f"Unknown message role: {role}")
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class ReferenceBatchesImpl(Batches):
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"""Reference implementation of the Batches API.
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@ -517,6 +543,7 @@ class ReferenceBatchesImpl(Batches):
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try:
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# TODO(SECURITY): review body for security issues
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request.body["messages"] = [convert_to_openai_message_param(msg) for msg in request.body["messages"]]
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chat_response = await self.inference_api.openai_chat_completion(**request.body)
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# this is for mypy, we don't allow streaming so we'll get the right type
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