forked from phoenix-oss/llama-stack-mirror
9487ad8294
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
42 lines
1.5 KiB
Python
42 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 llama_stack.apis.inference import (
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ChatCompletionResponseEventType,
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ChatCompletionResponseStreamChunk,
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)
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from termcolor import cprint
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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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