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https://github.com/BerriAI/litellm.git
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perf(proxy): compact streaming tool-call state
This commit is contained in:
parent
02e4307523
commit
0768daadd7
6 changed files with 155 additions and 37 deletions
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@ -70,7 +70,12 @@ from litellm.proxy.common_utils.sse_keepalive import (
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from litellm.proxy.dd_span_tagger import DDSpanTagger
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from litellm.proxy.guardrails.auto_router_compression import arm_pre_call as _arm_auto_router_compression
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from litellm.proxy.route_llm_request import route_request
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from litellm.proxy.utils import ProxyLogging, _check_and_merge_model_level_guardrails, stream_chunks_with_response
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from litellm.proxy.utils import (
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ProxyLogging,
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StreamingToolCallState,
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_check_and_merge_model_level_guardrails,
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streaming_tool_calls_with_response,
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)
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from litellm.router import Router
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from litellm.router_utils.add_retry_fallback_headers import get_hidden_params_dict
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from litellm.router_utils.common_utils import resolve_model_group_alias
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@ -3629,17 +3634,17 @@ class ProxyBaseLLMRequestProcessing:
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user_api_key_dict: UserAPIKeyAuth,
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request_data: dict, # mutable-ok: ProxyLogging requires the existing mutable request payload
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str_so_far: str,
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stream_chunks_so_far: Sequence[ModelResponseStream],
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) -> tuple[Any, tuple[ModelResponseStream, ...]]:
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streaming_tool_calls_so_far: StreamingToolCallState,
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) -> tuple[Any, StreamingToolCallState]:
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return (
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await proxy_logging_obj.async_post_call_streaming_hook(
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user_api_key_dict=user_api_key_dict,
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response=chunk,
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data=request_data,
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str_so_far=str_so_far,
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stream_chunks_so_far=stream_chunks_so_far,
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streaming_tool_calls_so_far=streaming_tool_calls_so_far,
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),
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stream_chunks_with_response(stream_chunks_so_far, chunk),
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streaming_tool_calls_with_response(streaming_tool_calls_so_far, chunk),
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)
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@staticmethod
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@ -3680,7 +3685,7 @@ class ProxyBaseLLMRequestProcessing:
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delivered_chunk = False
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try:
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str_so_far = ""
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stream_chunks_so_far: tuple[ModelResponseStream, ...] = ()
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streaming_tool_calls_so_far: StreamingToolCallState = ()
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async for chunk in proxy_logging_obj.async_post_call_streaming_iterator_hook(
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user_api_key_dict=user_api_key_dict,
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response=response,
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@ -3692,13 +3697,16 @@ class ProxyBaseLLMRequestProcessing:
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verbose_proxy_logger.debug("async_data_generator: received streaming chunk - %s", chunk)
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if not fast_path:
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chunk, stream_chunks_so_far = await ProxyBaseLLMRequestProcessing._apply_streaming_chunk_hook(
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(
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chunk,
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streaming_tool_calls_so_far,
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) = await ProxyBaseLLMRequestProcessing._apply_streaming_chunk_hook(
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chunk=chunk,
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proxy_logging_obj=proxy_logging_obj,
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user_api_key_dict=user_api_key_dict,
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request_data=request_data,
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str_so_far=str_so_far,
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stream_chunks_so_far=stream_chunks_so_far,
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streaming_tool_calls_so_far=streaming_tool_calls_so_far,
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)
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if isinstance(chunk, (ModelResponse, ModelResponseStream)):
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@ -686,6 +686,7 @@ from litellm.proxy.utils import (
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PrismaClient,
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ProxyLogging,
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ProxyUpdateSpend,
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StreamingToolCallState,
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_cache_user_row,
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_get_docs_url,
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_get_openapi_url,
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@ -706,7 +707,7 @@ from litellm.proxy.utils import (
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migrate_passwords_to_scrypt_async,
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model_dump_with_preserved_fields,
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prefetch_config_params,
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stream_chunks_with_response,
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streaming_tool_calls_with_response,
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update_spend,
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)
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from litellm.proxy.video_endpoints.endpoints import router as video_router
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@ -8778,23 +8779,23 @@ async def _apply_streaming_chunk_hooks(
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user_api_key_dict: UserAPIKeyAuth,
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request_data: dict,
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str_so_far: str,
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stream_chunks_so_far: Sequence[ModelResponseStream] = (),
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) -> tuple[Any, str, tuple[ModelResponseStream, ...]]:
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streaming_tool_calls_so_far: StreamingToolCallState = (),
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) -> tuple[Any, str, StreamingToolCallState]:
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stream_chunk: Final = chunk
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chunk = await proxy_logging_obj.async_post_call_streaming_hook(
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user_api_key_dict=user_api_key_dict,
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response=chunk,
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data=request_data,
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str_so_far=str_so_far if str_so_far else None,
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stream_chunks_so_far=stream_chunks_so_far,
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streaming_tool_calls_so_far=streaming_tool_calls_so_far,
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)
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if isinstance(chunk, (ModelResponse, ModelResponseStream)):
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response_str: Final = litellm.get_response_string(response_obj=chunk)
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str_so_far += response_str
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updated_stream_chunks: Final = stream_chunks_with_response(stream_chunks_so_far, stream_chunk)
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return chunk, str_so_far, updated_stream_chunks
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updated_tool_calls: Final = streaming_tool_calls_with_response(streaming_tool_calls_so_far, stream_chunk)
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return chunk, str_so_far, updated_tool_calls
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def _format_streaming_sse_chunk(chunk: str | bytes) -> str | bytes:
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@ -9047,7 +9048,7 @@ async def async_data_generator(
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# Previously "".join(str_so_far_parts) was called every chunk, re-joining
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# the entire accumulated response. String += is O(n) amortized total.
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_str_so_far: str = ""
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_stream_chunks_so_far: tuple[ModelResponseStream, ...] = ()
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_streaming_tool_calls_so_far: StreamingToolCallState = ()
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# Separate iterator-level vs per-chunk hook decisions. The iterator
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# wrap is needed when any callback overrides
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# ``async_post_call_streaming_iterator_hook`` or has
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@ -9097,12 +9098,12 @@ async def async_data_generator(
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chunk = cast(Any, item) # cast-ok: sentinel already handled above, item is a real chunk here
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if needs_per_chunk_hook:
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### CALL HOOKS ### - modify outgoing data
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chunk, _str_so_far, _stream_chunks_so_far = await _apply_streaming_chunk_hooks(
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chunk, _str_so_far, _streaming_tool_calls_so_far = await _apply_streaming_chunk_hooks(
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chunk=chunk,
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user_api_key_dict=user_api_key_dict,
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request_data=request_data,
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str_so_far=_str_so_far,
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stream_chunks_so_far=_stream_chunks_so_far,
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streaming_tool_calls_so_far=_streaming_tool_calls_so_far,
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)
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# Mid-stream fallbacks surface metadata on individual chunks rather than
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@ -17,7 +17,20 @@ from datetime import date, datetime, timedelta, timezone
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from email.mime.multipart import MIMEMultipart
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from email.mime.text import MIMEText
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from types import MappingProxyType
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from typing import TYPE_CHECKING, Any, ClassVar, Final, Literal, Optional, Protocol, TypeVar, Union, cast, overload
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from typing import (
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TYPE_CHECKING,
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Any,
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ClassVar,
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Final,
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Literal,
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Optional,
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Protocol,
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TypeAlias,
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TypeVar,
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Union,
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cast,
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overload,
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)
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from typing_extensions import ReadOnly, TypedDict
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@ -917,6 +930,9 @@ class _StreamingToolCallFragment:
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return self.choice_index, self.tool_index
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StreamingToolCallState: TypeAlias = tuple[_StreamingToolCallFragment, ...]
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def _streaming_hook_response_text(*, response_str: str, str_so_far: str | None, response: object) -> str:
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complete_response = str_so_far + response_str if str_so_far is not None else response_str
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if complete_response == "" and isinstance(response, (ModelResponse, ModelResponseStream)):
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@ -964,9 +980,8 @@ def _streaming_tool_call_fragments(response: ModelResponseStream) -> tuple[_Stre
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def _assembled_streaming_tool_calls(
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stream_chunks: Sequence[ModelResponseStream],
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) -> tuple[_StreamingToolCallFragment, ...]:
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fragments: Final = tuple(fragment for chunk in stream_chunks for fragment in _streaming_tool_call_fragments(chunk))
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fragments: Sequence[_StreamingToolCallFragment],
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) -> StreamingToolCallState:
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keys: Final = tuple(
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fragment.key
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for position, fragment in enumerate(fragments)
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@ -984,24 +999,31 @@ def _assembled_streaming_tool_calls(
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)
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def stream_chunks_with_response(
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stream_chunks: Sequence[ModelResponseStream], response: object
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) -> tuple[ModelResponseStream, ...]:
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return (*stream_chunks, response) if isinstance(response, ModelResponseStream) else tuple(stream_chunks)
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def streaming_tool_calls_with_response(
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tool_calls: Sequence[_StreamingToolCallFragment], response: object
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) -> StreamingToolCallState:
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if not isinstance(response, ModelResponseStream):
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return tuple(tool_calls)
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fragments: Final = _streaming_tool_call_fragments(response)
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return _assembled_streaming_tool_calls((*tool_calls, *fragments))
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def _streaming_guardrail_response_text(
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*,
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complete_response: str,
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response: object,
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stream_chunks_so_far: Sequence[ModelResponseStream],
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streaming_tool_calls_so_far: Sequence[_StreamingToolCallFragment],
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) -> str:
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if not isinstance(response, ModelResponseStream):
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return complete_response
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stream_chunks: Final = stream_chunks_with_response(stream_chunks_so_far, response)
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tool_calls: Final = _assembled_streaming_tool_calls(stream_chunks)
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tool_calls: Final = streaming_tool_calls_with_response(streaming_tool_calls_so_far, response)
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structured_fields: Final = tuple(
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f"tool_call:{json.dumps((tool_call.choice_index, tool_call.tool_index, tool_call.name, tool_call.arguments), ensure_ascii=False, separators=(',', ':'))}"
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"tool_call:"
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+ json.dumps(
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(tool_call.choice_index, tool_call.tool_index, tool_call.name, tool_call.arguments),
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ensure_ascii=False,
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separators=(",", ":"),
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)
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for tool_call in tool_calls
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)
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if not structured_fields:
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@ -3578,7 +3600,7 @@ class ProxyLogging:
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response: ModelResponse | EmbeddingResponse | ImageResponse | ModelResponseStream,
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user_api_key_dict: UserAPIKeyAuth,
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str_so_far: str | None = None,
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stream_chunks_so_far: Sequence[ModelResponseStream] = (),
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streaming_tool_calls_so_far: Sequence[_StreamingToolCallFragment] = (),
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):
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"""
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Allow user to modify outgoing streaming data -> per chunk
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@ -3654,7 +3676,7 @@ class ProxyLogging:
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complete_response = _streaming_guardrail_response_text(
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complete_response=complete_response,
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response=response,
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stream_chunks_so_far=stream_chunks_so_far,
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streaming_tool_calls_so_far=streaming_tool_calls_so_far,
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)
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callback_response: (
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str | ModelResponse | EmbeddingResponse | ImageResponse | ModelResponseStream | None
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@ -68,6 +68,30 @@ def _simple_chunk(model: str = "gpt-4", content: str = "hi") -> ModelResponseStr
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)
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def _tool_call_chunk(arguments: str) -> ModelResponseStream:
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return ModelResponseStream(
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id="chatcmpl-tool-call",
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choices=[
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{
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"index": 0,
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"delta": {
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"tool_calls": [
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{
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"index": 0,
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"type": "function",
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"function": {"name": "run_command", "arguments": arguments},
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}
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]
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},
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"finish_reason": None,
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}
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],
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created=0,
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model="gpt-4",
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object="chat.completion.chunk",
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)
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async def _async_iter(items):
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for it in items:
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yield it
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@ -557,12 +581,12 @@ def test_serialize_streaming_chunk_invalid_input_raises_attribute_error():
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async def test_apply_streaming_chunk_hooks_appends_to_str_so_far(monkeypatch):
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chunk = _simple_chunk(content="abc")
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async def _passthrough(*, user_api_key_dict, response, data, str_so_far=None, stream_chunks_so_far=()):
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async def _passthrough(*, user_api_key_dict, response, data, str_so_far=None, streaming_tool_calls_so_far=()):
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return response
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monkeypatch.setattr(ps.proxy_logging_obj, "async_post_call_streaming_hook", _passthrough)
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new_chunk, new_str, stream_chunks = await _apply_streaming_chunk_hooks(
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new_chunk, new_str, tool_calls = await _apply_streaming_chunk_hooks(
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chunk=chunk,
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user_api_key_dict=_user_auth(),
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request_data={},
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@ -573,16 +597,37 @@ async def test_apply_streaming_chunk_hooks_appends_to_str_so_far(monkeypatch):
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"chunk_is_basemodel": isinstance(new_chunk, ModelResponseStream),
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"str_so_far": new_str,
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"grew": len(new_str) > len("prior:"),
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"stream_chunks": stream_chunks,
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"tool_calls": tool_calls,
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}
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assert observed == {
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"chunk_is_basemodel": True,
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"str_so_far": "prior:abc",
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"grew": True,
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"stream_chunks": (chunk,),
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"tool_calls": (),
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}
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@pytest.mark.asyncio
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async def test_apply_streaming_chunk_hooks_compacts_tool_call_history(monkeypatch):
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async def _passthrough(*, user_api_key_dict, response, data, str_so_far=None, streaming_tool_calls_so_far=()):
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return response
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monkeypatch.setattr(ps.proxy_logging_obj, "async_post_call_streaming_hook", _passthrough)
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stream_state = ()
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for arguments in ('{"command":"', "blocked-", "command", '"}'):
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_, _, stream_state = await _apply_streaming_chunk_hooks(
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chunk=_tool_call_chunk(arguments),
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user_api_key_dict=_user_auth(),
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request_data={},
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str_so_far="",
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streaming_tool_calls_so_far=stream_state,
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)
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assert len(stream_state) == 1
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assert stream_state[0].arguments == '{"command":"blocked-command"}'
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@pytest.mark.asyncio
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async def test_apply_streaming_chunk_hooks_hook_raises_exception(monkeypatch):
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async def _boom(*args, **kwargs):
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@ -4055,6 +4055,48 @@ class TestAsyncStreamingDataGeneratorFastPath:
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ProxyLogging._callback_capabilities_cache.clear()
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@pytest.mark.asyncio
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async def test_apply_streaming_chunk_hook_compacts_tool_call_history(self):
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proxy_logging_obj = MagicMock(spec=ProxyLogging)
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proxy_logging_obj.async_post_call_streaming_hook = AsyncMock(side_effect=lambda **kwargs: kwargs["response"])
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def _chunk(arguments: str):
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return litellm.ModelResponseStream(
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id="chatcmpl-tool-call",
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choices=[
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{
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"index": 0,
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"delta": {
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"tool_calls": [
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{
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"index": 0,
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"type": "function",
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"function": {"name": "run_command", "arguments": arguments},
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}
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]
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},
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"finish_reason": None,
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}
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],
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created=0,
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model="gpt-4",
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object="chat.completion.chunk",
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)
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stream_state = ()
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for arguments in ("blocked-", "command"):
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_, stream_state = await ProxyBaseLLMRequestProcessing._apply_streaming_chunk_hook(
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chunk=_chunk(arguments),
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proxy_logging_obj=proxy_logging_obj,
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user_api_key_dict=MagicMock(spec=ProxyUserAPIKeyAuth),
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request_data={},
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str_so_far="",
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streaming_tool_calls_so_far=stream_state,
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)
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assert len(stream_state) == 1
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assert stream_state[0].arguments == "blocked-command"
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class TestDisconnectGatherCleanup:
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def _disconnect_request(self) -> Request:
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@ -24,7 +24,7 @@ from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
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from litellm.llms.anthropic.experimental_pass_through.messages.streaming_iterator import (
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BaseAnthropicMessagesStreamingIterator,
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)
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from litellm.proxy.utils import ProxyLogging
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from litellm.proxy.utils import ProxyLogging, streaming_tool_calls_with_response
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@pytest.fixture(autouse=True)
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@ -434,7 +434,7 @@ async def test_async_post_call_streaming_hook_exposes_tool_calls_to_guardrails(
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data={},
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response=second_chunk,
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user_api_key_dict=make_user_api_key_auth(),
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stream_chunks_so_far=(first_chunk,),
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streaming_tool_calls_so_far=streaming_tool_calls_with_response((), first_chunk),
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)
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assert out == "data: blocked\n\n"
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