mirror of
https://github.com/meta-llama/llama-stack.git
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130 lines
4.1 KiB
Python
130 lines
4.1 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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import asyncio
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import json
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from typing import AsyncGenerator
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import fire
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import httpx
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from llama_models.llama3_1.api.datatypes import BuiltinTool, SamplingParams
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from .api import (
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AgenticSystem,
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AgenticSystemCreateRequest,
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AgenticSystemCreateResponse,
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AgenticSystemInstanceConfig,
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AgenticSystemSessionCreateRequest,
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AgenticSystemSessionCreateResponse,
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AgenticSystemToolDefinition,
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AgenticSystemTurnCreateRequest,
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AgenticSystemTurnResponseStreamChunk,
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)
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async def get_client_impl(base_url: str):
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return AgenticSystemClient(base_url)
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class AgenticSystemClient(AgenticSystem):
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def __init__(self, base_url: str):
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self.base_url = base_url
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async def create_agentic_system(
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self, request: AgenticSystemCreateRequest
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) -> AgenticSystemCreateResponse:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/agentic_system/create",
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data=request.json(),
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headers={"Content-Type": "application/json"},
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)
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response.raise_for_status()
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return AgenticSystemCreateResponse(**response.json())
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async def create_agentic_system_session(
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self,
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request: AgenticSystemSessionCreateRequest,
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) -> AgenticSystemSessionCreateResponse:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/agentic_system/session/create",
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data=request.json(),
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headers={"Content-Type": "application/json"},
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)
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response.raise_for_status()
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return AgenticSystemSessionCreateResponse(**response.json())
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async def create_agentic_system_turn(
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self,
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request: AgenticSystemTurnCreateRequest,
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) -> AsyncGenerator:
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async with httpx.AsyncClient() as client:
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async with client.stream(
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"POST",
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f"{self.base_url}/agentic_system/turn/create",
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data=request.json(),
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headers={"Content-Type": "application/json"},
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timeout=20,
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) as response:
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async for line in response.aiter_lines():
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if line.startswith("data:"):
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data = line[len("data: ") :]
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try:
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yield AgenticSystemTurnResponseStreamChunk(
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**json.loads(data)
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)
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except Exception as e:
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print(data)
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print(f"Error with parsing or validation: {e}")
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async def run_main(host: str, port: int):
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# client to test remote impl of agentic system
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api = await AgenticSystemClient(f"http://{host}:{port}")
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tool_definitions = [
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AgenticSystemToolDefinition(
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tool_name=BuiltinTool.brave_search,
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),
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AgenticSystemToolDefinition(
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tool_name=BuiltinTool.wolfram_alpha,
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),
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AgenticSystemToolDefinition(
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tool_name=BuiltinTool.photogen,
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),
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AgenticSystemToolDefinition(
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tool_name=BuiltinTool.code_interpreter,
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),
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]
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create_request = AgenticSystemCreateRequest(
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model="Meta-Llama3.1-8B-Instruct",
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instance_config=AgenticSystemInstanceConfig(
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instructions="You are a helpful assistant",
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sampling_params=SamplingParams(),
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available_tools=tool_definitions,
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input_shields=[],
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output_shields=[],
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quantization_config=None,
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debug_prefix_messages=[],
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),
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)
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create_response = await api.create_agentic_system(create_request)
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print(create_response)
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# TODO: Add chat session / turn apis to test e2e
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def main(host: str, port: int):
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asyncio.run(run_main(host, port))
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if __name__ == "__main__":
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fire.Fire(main)
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