mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-02 16:54:42 +00:00
Make sure we _really_ fix library client with client-side types
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parent
4904ca64df
commit
020e175a70
1 changed files with 71 additions and 77 deletions
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@ -13,7 +13,7 @@ import threading
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from concurrent.futures import ThreadPoolExecutor
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from enum import Enum
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from pathlib import Path
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from typing import Any, Generator, get_args, get_origin, Optional, TypeVar
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from typing import Any, Generator, get_args, get_origin, Optional, Type, TypeVar, Union
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import yaml
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from llama_stack_client import AsyncLlamaStackClient, LlamaStackClient, NOT_GIVEN
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@ -111,15 +111,62 @@ def stream_across_asyncio_run_boundary(
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future.result()
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def convert_pydantic_to_json_value(value: Any) -> dict:
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if isinstance(value, BaseModel):
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return json.loads(value.model_dump_json())
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elif isinstance(value, Enum):
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def convert_pydantic_to_json_value(value: Any, cast_to: Type) -> dict:
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if isinstance(value, Enum):
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return value.value
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elif isinstance(value, list):
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return [convert_pydantic_to_json_value(item) for item in value]
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return [convert_pydantic_to_json_value(item, cast_to) for item in value]
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elif isinstance(value, dict):
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return {k: convert_pydantic_to_json_value(v) for k, v in value.items()}
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return {k: convert_pydantic_to_json_value(v, cast_to) for k, v in value.items()}
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elif isinstance(value, BaseModel):
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# This is quite hacky and we should figure out how to use stuff from
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# generated client-sdk code (using ApiResponse.parse() essentially)
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value_dict = json.loads(value.model_dump_json())
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origin = get_origin(cast_to)
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if origin is Union:
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args = get_args(cast_to)
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for arg in args:
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arg_name = arg.__name__.split(".")[-1]
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value_name = value.__class__.__name__.split(".")[-1]
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if arg_name == value_name:
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return arg(**value_dict)
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# assume we have the correct association between the server-side type and the client-side type
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return cast_to(**value_dict)
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return value
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def convert_to_pydantic(annotation: Any, value: Any) -> Any:
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if isinstance(annotation, type) and annotation in {str, int, float, bool}:
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return value
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origin = get_origin(annotation)
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if origin is list:
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item_type = get_args(annotation)[0]
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try:
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return [convert_to_pydantic(item_type, item) for item in value]
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except Exception:
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print(f"Error converting list {value}")
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return value
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elif origin is dict:
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key_type, val_type = get_args(annotation)
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try:
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return {k: convert_to_pydantic(val_type, v) for k, v in value.items()}
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except Exception:
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print(f"Error converting dict {value}")
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return value
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try:
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# Handle Pydantic models and discriminated unions
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return TypeAdapter(annotation).validate_python(value)
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except Exception as e:
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cprint(
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f"Warning: direct client failed to convert parameter {value} into {annotation}: {e}",
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"yellow",
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)
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return value
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@ -143,23 +190,14 @@ class LlamaStackAsLibraryClient(LlamaStackClient):
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return asyncio.run(self.async_client.initialize())
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def get(self, *args, **kwargs):
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def request(self, *args, **kwargs):
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if kwargs.get("stream"):
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return stream_across_asyncio_run_boundary(
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lambda: self.async_client.get(*args, **kwargs),
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lambda: self.async_client.request(*args, **kwargs),
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self.pool_executor,
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)
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else:
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return asyncio.run(self.async_client.get(*args, **kwargs))
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def post(self, *args, **kwargs):
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if kwargs.get("stream"):
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return stream_across_asyncio_run_boundary(
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lambda: self.async_client.post(*args, **kwargs),
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self.pool_executor,
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)
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else:
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return asyncio.run(self.async_client.post(*args, **kwargs))
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return asyncio.run(self.async_client.request(*args, **kwargs))
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class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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@ -227,38 +265,27 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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self.endpoint_impls = endpoint_impls
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return True
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async def get(
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async def request(
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self,
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path: str,
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cast_to: Any,
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options: Any,
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*,
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stream=False,
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**kwargs,
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stream_cls=None,
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):
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if not self.endpoint_impls:
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raise ValueError("Client not initialized")
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params = options.params or {}
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params |= options.json_data or {}
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if stream:
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return self._call_streaming(path, "GET")
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return self._call_streaming(options.url, params, cast_to)
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else:
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return await self._call_non_streaming(path, "GET")
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return await self._call_non_streaming(options.url, params, cast_to)
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async def post(
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self,
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path: str,
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*,
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body: dict = None,
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stream=False,
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**kwargs,
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async def _call_non_streaming(
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self, path: str, body: dict = None, cast_to: Any = None
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):
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if not self.endpoint_impls:
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raise ValueError("Client not initialized")
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if stream:
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return self._call_streaming(path, "POST", body)
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else:
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return await self._call_non_streaming(path, "POST", body)
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async def _call_non_streaming(self, path: str, method: str, body: dict = None):
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await start_trace(path, {"__location__": "library_client"})
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try:
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func = self.endpoint_impls.get(path)
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@ -266,11 +293,11 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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raise ValueError(f"No endpoint found for {path}")
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body = self._convert_body(path, body)
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return convert_pydantic_to_json_value(await func(**body))
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return convert_pydantic_to_json_value(await func(**body), cast_to)
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finally:
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await end_trace()
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async def _call_streaming(self, path: str, method: str, body: dict = None):
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async def _call_streaming(self, path: str, body: dict = None, cast_to: Any = None):
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await start_trace(path, {"__location__": "library_client"})
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try:
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func = self.endpoint_impls.get(path)
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@ -279,7 +306,7 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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body = self._convert_body(path, body)
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async for chunk in await func(**body):
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yield convert_pydantic_to_json_value(chunk)
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yield convert_pydantic_to_json_value(chunk, cast_to)
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finally:
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await end_trace()
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@ -298,40 +325,7 @@ class AsyncLlamaStackAsLibraryClient(AsyncLlamaStackClient):
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for param_name, param in sig.parameters.items():
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if param_name in body:
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value = body.get(param_name)
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converted_body[param_name] = self._convert_to_pydantic(
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converted_body[param_name] = convert_to_pydantic(
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param.annotation, value
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)
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return converted_body
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def _convert_to_pydantic(self, annotation: Any, value: Any) -> Any:
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if isinstance(annotation, type) and annotation in {str, int, float, bool}:
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return value
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origin = get_origin(annotation)
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if origin is list:
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item_type = get_args(annotation)[0]
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try:
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return [self._convert_to_pydantic(item_type, item) for item in value]
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except Exception:
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print(f"Error converting list {value}")
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return value
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elif origin is dict:
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key_type, val_type = get_args(annotation)
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try:
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return {
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k: self._convert_to_pydantic(val_type, v) for k, v in value.items()
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}
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except Exception:
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print(f"Error converting dict {value}")
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return value
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try:
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# Handle Pydantic models and discriminated unions
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return TypeAdapter(annotation).validate_python(value)
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except Exception as e:
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cprint(
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f"Warning: direct client failed to convert parameter {value} into {annotation}: {e}",
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"yellow",
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)
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return value
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