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https://github.com/meta-llama/llama-stack.git
synced 2025-07-29 15:23:51 +00:00
add dynamic clients for all APIs
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parent
f04b566c5c
commit
4067038f74
3 changed files with 198 additions and 4 deletions
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@ -8,6 +8,7 @@ from datetime import datetime
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from enum import Enum
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from typing import (
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Any,
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AsyncIterator,
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Dict,
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List,
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Literal,
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@ -434,7 +435,7 @@ class Agents(Protocol):
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],
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attachments: Optional[List[Attachment]] = None,
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stream: Optional[bool] = False,
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) -> AgentTurnResponseStreamChunk: ...
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) -> Union[Turn, AsyncIterator[AgentTurnResponseStreamChunk]]: ...
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@webmethod(route="/agents/turn/get")
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async def get_agents_turn(
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@ -6,7 +6,15 @@
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from enum import Enum
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from typing import List, Literal, Optional, Protocol, runtime_checkable, Union
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from typing import (
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AsyncIterator,
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List,
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Literal,
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Optional,
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Protocol,
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runtime_checkable,
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Union,
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)
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from llama_models.schema_utils import json_schema_type, webmethod
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@ -224,7 +232,7 @@ class Inference(Protocol):
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response_format: Optional[ResponseFormat] = None,
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stream: Optional[bool] = False,
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logprobs: Optional[LogProbConfig] = None,
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) -> Union[CompletionResponse, CompletionResponseStreamChunk]: ...
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) -> Union[CompletionResponse, AsyncIterator[CompletionResponseStreamChunk]]: ...
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@webmethod(route="/inference/chat_completion")
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async def chat_completion(
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@ -239,7 +247,9 @@ class Inference(Protocol):
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response_format: Optional[ResponseFormat] = None,
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stream: Optional[bool] = False,
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logprobs: Optional[LogProbConfig] = None,
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) -> Union[ChatCompletionResponse, ChatCompletionResponseStreamChunk]: ...
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) -> Union[
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ChatCompletionResponse, AsyncIterator[ChatCompletionResponseStreamChunk]
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]: ...
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@webmethod(route="/inference/embeddings")
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async def embeddings(
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183
llama_stack/distribution/client.py
Normal file
183
llama_stack/distribution/client.py
Normal file
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@ -0,0 +1,183 @@
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# 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 inspect
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import json
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from collections.abc import AsyncIterator
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from typing import Any, get_args, get_origin, Type, Union
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import httpx
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from llama_models.schema_utils import WebMethod
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from pydantic import BaseModel, parse_obj_as
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from termcolor import cprint
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def extract_non_async_iterator_type(type_hint):
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if get_origin(type_hint) is Union:
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args = get_args(type_hint)
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for arg in args:
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if not issubclass(get_origin(arg) or arg, AsyncIterator):
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return arg
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return None
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def extract_async_iterator_type(type_hint):
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if get_origin(type_hint) is Union:
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args = get_args(type_hint)
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for arg in args:
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if issubclass(get_origin(arg) or arg, AsyncIterator):
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inner_args = get_args(arg)
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return inner_args[0]
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return None
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def create_api_client_class(protocol) -> Type:
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class APIClient:
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def __init__(self, base_url: str):
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self.base_url = base_url.rstrip("/")
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self.routes = {}
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# Store routes for this protocol
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for name, method in inspect.getmembers(protocol):
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if hasattr(method, "__webmethod__"):
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sig = inspect.signature(method)
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self.routes[name] = (method.__webmethod__, sig)
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async def __acall__(self, method_name: str, *args, **kwargs) -> Any:
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assert method_name in self.routes, f"Unknown endpoint: {method_name}"
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# TODO: make this more precise, same thing needs to happen in server.py
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is_streaming = kwargs.get("stream", False)
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if is_streaming:
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return self._call_streaming(method_name, *args, **kwargs)
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else:
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return await self._call_non_streaming(method_name, *args, **kwargs)
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async def _call_non_streaming(self, method_name: str, *args, **kwargs) -> Any:
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webmethod, sig = self.routes[method_name]
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return_type = extract_non_async_iterator_type(sig.return_annotation)
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assert (
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return_type
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), f"Could not extract return type for {sig.return_annotation}"
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cprint(f"{return_type=}", "yellow")
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async with httpx.AsyncClient() as client:
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params = self.httpx_request_params(webmethod, **kwargs)
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response = await client.request(**params)
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response.raise_for_status()
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j = response.json()
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if not j:
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return None
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return parse_obj_as(return_type, j)
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async def _call_streaming(self, method_name: str, *args, **kwargs) -> Any:
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webmethod, sig = self.routes[method_name]
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return_type = extract_async_iterator_type(sig.return_annotation)
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assert (
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return_type
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), f"Could not extract return type for {sig.return_annotation}"
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cprint(f"{return_type=}", "yellow")
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async with httpx.AsyncClient() as client:
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params = self.httpx_request_params(webmethod, **kwargs)
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async with client.stream(**params) as response:
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response.raise_for_status()
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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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if "error" in data:
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cprint(data, "red")
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continue
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yield parse_obj_as(return_type, json.loads(data))
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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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def httpx_request_params(self, webmethod: WebMethod, **kwargs) -> dict:
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url = f"{self.base_url}{webmethod.route}"
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def convert(value):
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if isinstance(value, list):
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return [convert(v) for v in value]
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elif isinstance(value, dict):
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return {k: convert(v) for k, v in value.items()}
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elif isinstance(value, BaseModel):
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return json.loads(value.json())
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else:
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return value
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params = {}
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data = {}
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if webmethod.method == "GET":
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params.update(kwargs)
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else:
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data.update(convert(kwargs))
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print(f"{data=}")
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return dict(
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method=webmethod.method or "POST",
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url=url,
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headers={"Content-Type": "application/json"},
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params=params,
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json=data,
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timeout=30,
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)
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# Add protocol methods to the wrapper
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for name, method in inspect.getmembers(protocol):
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if hasattr(method, "__webmethod__"):
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async def method_impl(self, *args, method_name=name, **kwargs):
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return await self.__acall__(method_name, *args, **kwargs)
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method_impl.__name__ = name
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method_impl.__qualname__ = f"APIClient.{name}"
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method_impl.__signature__ = inspect.signature(method)
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setattr(APIClient, name, method_impl)
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# Name the class after the protocol
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APIClient.__name__ = f"{protocol.__name__}Client"
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return APIClient
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async def example(model: str = None):
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from llama_stack.apis.inference import Inference, UserMessage # noqa: F403
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from llama_stack.apis.inference.event_logger import EventLogger
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client_class = create_api_client_class(Inference)
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client = client_class("http://localhost:5003")
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if not model:
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model = "Llama3.2-3B-Instruct"
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message = UserMessage(
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content="hello world, write me a 2 sentence poem about the moon"
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)
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cprint(f"User>{message.content}", "green")
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stream = True
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iterator = await client.chat_completion(
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model=model,
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messages=[message],
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stream=stream,
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)
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async for log in EventLogger().log(iterator):
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log.print()
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if __name__ == "__main__":
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import asyncio
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asyncio.run(example())
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