forked from phoenix-oss/llama-stack-mirror
156bfa0e15
* fix non-streaming api in inference server * unit test for inline inference * Added non-streaming ollama inference impl * add streaming support for ollama inference with tests * addressing comments --------- Co-authored-by: Hardik Shah <hjshah@fb.com>
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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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 termcolor import cprint
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from llama_toolchain.inference.api import (
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ChatCompletionResponseEventType,
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ChatCompletionResponseStreamChunk
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)
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class LogEvent:
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def __init__(
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self,
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content: str = "",
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end: str = "\n",
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color="white",
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):
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self.content = content
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self.color = color
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self.end = "\n" if end is None else end
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def print(self, flush=True):
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cprint(f"{self.content}", color=self.color, end=self.end, flush=flush)
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class EventLogger:
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async def log(self, event_generator):
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async for chunk in event_generator:
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if isinstance(chunk, ChatCompletionResponseStreamChunk):
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event = chunk.event
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if event.event_type == ChatCompletionResponseEventType.start:
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yield LogEvent("Assistant> ", color="cyan", end="")
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elif event.event_type == ChatCompletionResponseEventType.progress:
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yield LogEvent(event.delta, color="yellow", end="")
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elif event.event_type == ChatCompletionResponseEventType.complete:
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yield LogEvent("")
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else:
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yield LogEvent("Assistant> ", color="cyan", end="")
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yield LogEvent(chunk.completion_message.content, color="yellow")
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