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models routing work
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parent
f3ff3a3001
commit
9bdd4e3dd9
3 changed files with 20 additions and 3 deletions
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@ -90,7 +90,7 @@ async def run_main(host: str, port: int, stream: bool):
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cprint(f"User>{message.content}", "green")
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iterator = client.chat_completion(
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ChatCompletionRequest(
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model="Meta-Llama3.1-8B-Instruct",
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model="ollama-1",
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messages=[message],
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stream=stream,
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)
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@ -98,7 +98,13 @@ class OllamaInferenceAdapter(Inference):
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stream: Optional[bool] = False,
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logprobs: Optional[LogProbConfig] = None,
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) -> AsyncGenerator:
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cprint("!! calling remote ollama !!", "red")
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cprint("!! calling remote ollama {}, url={}!!".format(model, self.url), "red")
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yield ChatCompletionResponseStreamChunk(
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event=ChatCompletionResponseEvent(
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event_type=ChatCompletionResponseEventType.start,
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delta="",
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)
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)
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# request = ChatCompletionRequest(
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# model=model,
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# messages=messages,
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@ -4,7 +4,7 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import Any, Dict, List, Tuple
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from typing import Any, AsyncGenerator, Dict, List, Tuple
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from llama_stack.distribution.datatypes import Api
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from llama_stack.apis.inference import * # noqa: F403
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@ -46,3 +46,14 @@ class InferenceRouterImpl(Inference):
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logprobs: Optional[LogProbConfig] = None,
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) -> AsyncGenerator:
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print("router chat_completion")
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async for chunk in self.providers[model].chat_completion(
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model=model,
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messages=messages,
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sampling_params=sampling_params,
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tools=tools,
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tool_choice=tool_choice,
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tool_prompt_format=tool_prompt_format,
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stream=stream,
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logprobs=logprobs,
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):
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yield chunk
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