mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-11 03:38:38 +00:00
feat(router): add stream_idle_timeout to catch stalled providers mid-stream
Extends the ttft_timeout feature with stream_idle_timeout: a per-chunk inter-token deadline that fires litellm.Timeout when a provider accepts a connection, sends some tokens, then goes silent. Both parameters are independent; either or both can be set at router or per-deployment level.
This commit is contained in:
parent
806db5663d
commit
9e7c1021f0
2 changed files with 271 additions and 103 deletions
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@ -275,6 +275,7 @@ class Router:
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timeout: Optional[float] = None,
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stream_timeout: Optional[float] = None,
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ttft_timeout: Optional[float] = None,
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stream_idle_timeout: Optional[float] = None,
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default_litellm_params: Optional[
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dict
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] = None, # default params for Router.chat.completion.create
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@ -433,9 +434,9 @@ class Router:
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) # names of models under litellm_params. ex. azure/chatgpt-v-2
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self.deployment_latency_map = {}
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### CACHING ###
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cache_type: Literal[
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"local", "redis", "redis-semantic", "s3", "disk"
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] = "local" # default to an in-memory cache
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cache_type: Literal["local", "redis", "redis-semantic", "s3", "disk"] = (
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"local" # default to an in-memory cache
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)
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redis_cache = None
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cache_config: Dict[str, Any] = {}
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@ -483,9 +484,9 @@ class Router:
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self.default_max_parallel_requests = default_max_parallel_requests
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self.provider_default_deployment_ids: List[str] = []
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self.pattern_router = PatternMatchRouter()
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self.team_pattern_routers: Dict[
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str, PatternMatchRouter
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] = {} # {"TEAM_ID": PatternMatchRouter}
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self.team_pattern_routers: Dict[str, PatternMatchRouter] = (
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{}
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) # {"TEAM_ID": PatternMatchRouter}
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self.auto_routers: Dict[str, "AutoRouter"] = {}
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self.complexity_routers: Dict[str, "ComplexityRouter"] = {}
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self.adaptive_routers: Dict[str, "AdaptiveRouter"] = {}
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@ -567,12 +568,13 @@ class Router:
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self.timeout = timeout or litellm.request_timeout
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self.stream_timeout = stream_timeout
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self.ttft_timeout = ttft_timeout
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self.stream_idle_timeout = stream_idle_timeout
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self.retry_after = retry_after
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self.routing_strategy = self._normalize_strategy(routing_strategy)
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self._routing_groups_input: Optional[
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List[Union[RoutingGroup, dict]]
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] = routing_groups
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self._routing_groups_input: Optional[List[Union[RoutingGroup, dict]]] = (
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routing_groups
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)
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## SETTING FALLBACKS ##
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### validate if it's set + in correct format
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@ -699,12 +701,12 @@ class Router:
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)
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)
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self.model_group_retry_policy: Optional[
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Dict[str, RetryPolicy]
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] = model_group_retry_policy
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self.model_group_affinity_config: Optional[
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Dict[str, List[str]]
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] = model_group_affinity_config
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self.model_group_retry_policy: Optional[Dict[str, RetryPolicy]] = (
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model_group_retry_policy
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)
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self.model_group_affinity_config: Optional[Dict[str, List[str]]] = (
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model_group_affinity_config
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)
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self.allowed_fails_policy: Optional[AllowedFailsPolicy] = None
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if allowed_fails_policy is not None:
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@ -2618,20 +2620,20 @@ class Router:
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# _ageneric_api_call_with_fallbacks_helper.
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# original_generic_function is preserved by the caller so
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# the helper knows what underlying API to invoke per attempt.
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initial_kwargs[
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"original_function"
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] = self._ageneric_api_call_with_fallbacks_helper
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initial_kwargs["original_function"] = (
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self._ageneric_api_call_with_fallbacks_helper
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)
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if e.is_pre_first_chunk or not e.generated_content:
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# No content generated before the error — retry with the
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# original input. Adding a continuation prompt would
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# waste tokens and confuse the model.
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pass
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else:
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initial_kwargs[
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"input"
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] = Router._build_responses_continuation_input(
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initial_kwargs.get("input"),
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e.generated_content,
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initial_kwargs["input"] = (
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Router._build_responses_continuation_input(
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initial_kwargs.get("input"),
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e.generated_content,
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)
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)
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# The Responses-API path stores observability metadata
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# under "litellm_metadata" (not the default "metadata") —
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@ -2858,49 +2860,72 @@ class Router:
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self,
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response: CustomStreamWrapper,
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messages: List[Dict[str, str]],
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ttft_timeout: float,
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ttft_timeout: Optional[float],
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stream_idle_timeout: Optional[float] = None,
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) -> ModelResponse:
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from litellm.main import stream_chunk_builder
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chunks: List = []
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aiter = response.__aiter__()
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loop = asyncio.get_running_loop()
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deadline = loop.time() + ttft_timeout
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first_token_received = False
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while not first_token_received:
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remaining = deadline - loop.time()
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if remaining <= 0:
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verbose_router_logger.warning(
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f"ttft_timeout={ttft_timeout}s exceeded for model={response.model}: "
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"provider accepted connection but sent no tokens"
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)
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raise litellm.Timeout(
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message=f"Router ttft_timeout={ttft_timeout}s exceeded: provider accepted connection but sent no tokens",
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model=response.model or "",
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llm_provider=response.custom_llm_provider or "",
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)
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try:
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chunk = await asyncio.wait_for(aiter.__anext__(), timeout=remaining)
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except asyncio.TimeoutError:
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verbose_router_logger.warning(
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f"ttft_timeout={ttft_timeout}s exceeded for model={response.model}: "
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"provider accepted connection but sent no tokens"
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)
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raise litellm.Timeout(
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message=f"Router ttft_timeout={ttft_timeout}s exceeded: provider accepted connection but sent no tokens",
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model=response.model or "",
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llm_provider=response.custom_llm_provider or "",
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)
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except StopAsyncIteration:
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break
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chunks.append(chunk)
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delta = chunk.choices[0].delta if chunk.choices else None
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if delta and (delta.content or delta.tool_calls):
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first_token_received = True
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if ttft_timeout is not None:
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loop = asyncio.get_running_loop()
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deadline = loop.time() + ttft_timeout
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first_token_received = False
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async for chunk in aiter:
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chunks.append(chunk)
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while not first_token_received:
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remaining = deadline - loop.time()
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if remaining <= 0:
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verbose_router_logger.warning(
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f"ttft_timeout={ttft_timeout}s exceeded for model={response.model}: "
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"provider accepted connection but sent no tokens"
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)
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raise litellm.Timeout(
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message=f"Router ttft_timeout={ttft_timeout}s exceeded: provider accepted connection but sent no tokens",
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model=response.model or "",
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llm_provider=response.custom_llm_provider or "",
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)
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try:
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chunk = await asyncio.wait_for(aiter.__anext__(), timeout=remaining)
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except asyncio.TimeoutError:
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verbose_router_logger.warning(
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f"ttft_timeout={ttft_timeout}s exceeded for model={response.model}: "
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"provider accepted connection but sent no tokens"
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)
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raise litellm.Timeout(
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message=f"Router ttft_timeout={ttft_timeout}s exceeded: provider accepted connection but sent no tokens",
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model=response.model or "",
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llm_provider=response.custom_llm_provider or "",
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)
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except StopAsyncIteration:
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break
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chunks.append(chunk)
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delta = chunk.choices[0].delta if chunk.choices else None
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if delta and (delta.content or delta.tool_calls):
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first_token_received = True
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if stream_idle_timeout is not None:
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while True:
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try:
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chunk = await asyncio.wait_for(
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aiter.__anext__(), timeout=stream_idle_timeout
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)
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except asyncio.TimeoutError:
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verbose_router_logger.warning(
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f"stream_idle_timeout={stream_idle_timeout}s exceeded for model={response.model}: "
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"provider stalled mid-stream"
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)
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raise litellm.Timeout(
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message=f"Router stream_idle_timeout={stream_idle_timeout}s exceeded: provider stalled mid-stream",
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model=response.model or "",
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llm_provider=response.custom_llm_provider or "",
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)
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except StopAsyncIteration:
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break
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chunks.append(chunk)
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else:
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async for chunk in aiter:
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chunks.append(chunk)
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result = stream_chunk_builder(chunks, messages=messages)
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if result is None:
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@ -2914,7 +2939,10 @@ class Router:
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async def _acompletion( # noqa: PLR0915
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self, model: str, messages: List[Dict[str, str]], **kwargs
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) -> Union[ModelResponse, CustomStreamWrapper,]:
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) -> Union[
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ModelResponse,
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CustomStreamWrapper,
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]:
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"""
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- Get an available deployment
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- call it with a semaphore over the call
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@ -2996,9 +3024,12 @@ class Router:
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input_kwargs.pop("silent_model", None)
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_ttft_timeout = self._get_ttft_timeout(kwargs=kwargs, data=litellm_params)
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_forced_stream_for_ttft = (
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_ttft_timeout is not None and not input_kwargs.get("stream", False)
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_stream_idle_timeout = self._get_stream_idle_timeout(
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kwargs=kwargs, data=litellm_params
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)
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_forced_stream_for_ttft = (
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_ttft_timeout is not None or _stream_idle_timeout is not None
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) and not input_kwargs.get("stream", False)
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if _forced_stream_for_ttft:
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input_kwargs["stream"] = True
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@ -3060,11 +3091,12 @@ class Router:
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)
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if isinstance(response, CustomStreamWrapper):
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if _forced_stream_for_ttft and _ttft_timeout is not None:
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if _forced_stream_for_ttft:
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reconstructed = await self._collect_stream_with_ttft_timeout(
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response=response,
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messages=messages,
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ttft_timeout=_ttft_timeout,
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stream_idle_timeout=_stream_idle_timeout,
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)
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if self._should_raise_content_policy_error(
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model=model, response=reconstructed, kwargs=kwargs
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@ -3397,6 +3429,17 @@ class Router:
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return source
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return None
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def _get_stream_idle_timeout(self, kwargs: dict, data: dict) -> Optional[float]:
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for source in (
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kwargs.get("stream_idle_timeout"),
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data.get("stream_idle_timeout"),
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self.stream_idle_timeout,
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self.default_litellm_params.get("stream_idle_timeout"),
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):
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if source is not None:
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return source
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return None
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def _get_timeout(self, kwargs: dict, data: dict) -> Optional[Union[float, int]]:
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"""Helper to get timeout from kwargs or deployment params"""
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timeout: Optional[Union[float, int]] = None
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@ -5345,9 +5388,9 @@ class Router:
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healthy_deployments=healthy_deployments, responses=responses
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)
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returned_response = cast(OpenAIFileObject, responses[0])
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returned_response._hidden_params[
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"model_file_id_mapping"
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] = model_file_id_mapping
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returned_response._hidden_params["model_file_id_mapping"] = (
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model_file_id_mapping
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)
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return returned_response
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except Exception as e:
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verbose_router_logger.exception(
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@ -6666,11 +6709,11 @@ class Router:
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if isinstance(e, litellm.ContextWindowExceededError):
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if context_window_fallbacks is not None:
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context_window_fallback_model_group: Optional[
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List[str]
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] = self._get_fallback_model_group_from_fallbacks(
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fallbacks=context_window_fallbacks,
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model_group=model_group,
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context_window_fallback_model_group: Optional[List[str]] = (
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self._get_fallback_model_group_from_fallbacks(
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fallbacks=context_window_fallbacks,
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model_group=model_group,
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)
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)
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if context_window_fallback_model_group is None:
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raise original_exception
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@ -6702,11 +6745,11 @@ class Router:
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e.message += "\n{}".format(error_message)
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elif isinstance(e, litellm.ContentPolicyViolationError):
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if content_policy_fallbacks is not None:
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content_policy_fallback_model_group: Optional[
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List[str]
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] = self._get_fallback_model_group_from_fallbacks(
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fallbacks=content_policy_fallbacks,
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model_group=model_group,
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content_policy_fallback_model_group: Optional[List[str]] = (
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self._get_fallback_model_group_from_fallbacks(
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fallbacks=content_policy_fallbacks,
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model_group=model_group,
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)
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)
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if content_policy_fallback_model_group is None:
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raise original_exception
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@ -6928,9 +6971,9 @@ class Router:
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)
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## ADD RETRY TRACKING TO METADATA - used for spend logs retry tracking
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_metadata["attempted_retries"] = 0
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_metadata[
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"max_retries"
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] = num_retries # Updated after overrides in exception handler
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_metadata["max_retries"] = (
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num_retries # Updated after overrides in exception handler
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)
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try:
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self._handle_mock_testing_rate_limit_error(
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model_group=model_group, kwargs=kwargs
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@ -8129,26 +8172,26 @@ class Router:
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"""
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from litellm.router_strategy.auto_router.auto_router import AutoRouter
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auto_router_config_path: Optional[
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str
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] = deployment.litellm_params.auto_router_config_path
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auto_router_config_path: Optional[str] = (
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deployment.litellm_params.auto_router_config_path
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)
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auto_router_config: Optional[str] = deployment.litellm_params.auto_router_config
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if auto_router_config_path is None and auto_router_config is None:
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raise ValueError(
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"auto_router_config_path or auto_router_config is required for auto-router deployments. Please set it in the litellm_params"
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)
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default_model: Optional[
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str
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] = deployment.litellm_params.auto_router_default_model
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default_model: Optional[str] = (
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deployment.litellm_params.auto_router_default_model
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)
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if default_model is None:
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raise ValueError(
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"auto_router_default_model is required for auto-router deployments. Please set it in the litellm_params"
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)
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embedding_model: Optional[
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str
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] = deployment.litellm_params.auto_router_embedding_model
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embedding_model: Optional[str] = (
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deployment.litellm_params.auto_router_embedding_model
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)
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if embedding_model is None:
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raise ValueError(
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"auto_router_embedding_model is required for auto-router deployments. Please set it in the litellm_params"
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@ -8191,13 +8234,13 @@ class Router:
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ComplexityRouter,
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)
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complexity_router_config: Optional[
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dict
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] = deployment.litellm_params.complexity_router_config
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complexity_router_config: Optional[dict] = (
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deployment.litellm_params.complexity_router_config
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)
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default_model: Optional[
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str
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] = deployment.litellm_params.complexity_router_default_model
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default_model: Optional[str] = (
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deployment.litellm_params.complexity_router_default_model
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)
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# If no default model specified, try to get from config tiers
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if default_model is None and complexity_router_config:
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@ -8384,13 +8427,13 @@ class Router:
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QualityRouter,
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)
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quality_router_config: Optional[
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dict
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] = deployment.litellm_params.quality_router_config
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quality_router_config: Optional[dict] = (
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deployment.litellm_params.quality_router_config
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)
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default_model: Optional[
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str
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] = deployment.litellm_params.quality_router_default_model
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default_model: Optional[str] = (
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deployment.litellm_params.quality_router_default_model
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)
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if default_model is None and quality_router_config:
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default_model = quality_router_config.get("default_model")
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@ -9161,9 +9204,9 @@ class Router:
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# Add custom_llm_provider
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if deployment.litellm_params.custom_llm_provider:
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credentials[
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"custom_llm_provider"
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] = deployment.litellm_params.custom_llm_provider
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credentials["custom_llm_provider"] = (
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deployment.litellm_params.custom_llm_provider
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)
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elif "/" in deployment.litellm_params.model:
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# Extract provider from "provider/model" format
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credentials["custom_llm_provider"] = deployment.litellm_params.model.split(
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|
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@ -4979,3 +4979,128 @@ async def test_router_ttft_timeout_acompletion_intercept():
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assert result is reconstructed
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assert mock_collect.called
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# ---------------------------------------------------------------------------
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# stream_idle_timeout tests
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# ---------------------------------------------------------------------------
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@pytest.mark.asyncio
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async def test_router_stream_idle_timeout_raises_on_stalled_provider():
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"""After first token arrives, stream_idle_timeout fires if no subsequent chunk arrives in time."""
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import asyncio
|
||||
from unittest.mock import patch
|
||||
|
||||
import litellm
|
||||
|
||||
router = litellm.Router(
|
||||
model_list=[
|
||||
{
|
||||
"model_name": "test-model",
|
||||
"litellm_params": {"model": "openai/gpt-4o", "api_key": "fake-key"},
|
||||
}
|
||||
],
|
||||
stream_idle_timeout=0.05,
|
||||
)
|
||||
|
||||
async def _stalled_after_first():
|
||||
yield _make_chunk("Hello")
|
||||
await asyncio.sleep(10) # stalls; will be killed by stream_idle_timeout
|
||||
yield _make_chunk("", finish_reason="stop")
|
||||
|
||||
fake_stream = MagicMock()
|
||||
fake_stream.model = "gpt-4o"
|
||||
fake_stream.custom_llm_provider = "openai"
|
||||
gen = _stalled_after_first()
|
||||
fake_stream.__aiter__ = lambda self: gen
|
||||
|
||||
with pytest.raises(litellm.Timeout, match="stream_idle_timeout"):
|
||||
await router._collect_stream_with_ttft_timeout(
|
||||
response=fake_stream,
|
||||
messages=[{"role": "user", "content": "hi"}],
|
||||
ttft_timeout=None,
|
||||
stream_idle_timeout=0.05,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_router_stream_idle_timeout_completes_when_not_stalled():
|
||||
"""stream_idle_timeout does not fire when chunks arrive within the timeout."""
|
||||
from unittest.mock import patch
|
||||
|
||||
from litellm import ModelResponse
|
||||
|
||||
import litellm
|
||||
|
||||
router = litellm.Router(
|
||||
model_list=[
|
||||
{
|
||||
"model_name": "test-model",
|
||||
"litellm_params": {"model": "openai/gpt-4o", "api_key": "fake-key"},
|
||||
}
|
||||
],
|
||||
stream_idle_timeout=5.0,
|
||||
)
|
||||
|
||||
chunks = [
|
||||
_make_chunk("Hello"),
|
||||
_make_chunk(" world"),
|
||||
_make_chunk("", finish_reason="stop"),
|
||||
]
|
||||
|
||||
fake_stream = MagicMock()
|
||||
fake_stream.model = "gpt-4o"
|
||||
fake_stream.custom_llm_provider = "openai"
|
||||
fake_stream.__aiter__ = lambda self: _async_chunks(*chunks)
|
||||
|
||||
reconstructed = MagicMock(spec=ModelResponse)
|
||||
|
||||
with patch("litellm.main.stream_chunk_builder", return_value=reconstructed):
|
||||
result = await router._collect_stream_with_ttft_timeout(
|
||||
response=fake_stream,
|
||||
messages=[{"role": "user", "content": "hi"}],
|
||||
ttft_timeout=None,
|
||||
stream_idle_timeout=5.0,
|
||||
)
|
||||
|
||||
assert result is reconstructed
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_router_ttft_and_idle_timeout_both_active():
|
||||
"""When both ttft_timeout and stream_idle_timeout are set, both phases are enforced."""
|
||||
import asyncio
|
||||
from unittest.mock import patch
|
||||
|
||||
import litellm
|
||||
|
||||
router = litellm.Router(
|
||||
model_list=[
|
||||
{
|
||||
"model_name": "test-model",
|
||||
"litellm_params": {"model": "openai/gpt-4o", "api_key": "fake-key"},
|
||||
}
|
||||
],
|
||||
ttft_timeout=5.0,
|
||||
stream_idle_timeout=0.05,
|
||||
)
|
||||
|
||||
async def _stalled_after_first():
|
||||
yield _make_chunk("Hello")
|
||||
await asyncio.sleep(10)
|
||||
yield _make_chunk("", finish_reason="stop")
|
||||
|
||||
fake_stream = MagicMock()
|
||||
fake_stream.model = "gpt-4o"
|
||||
fake_stream.custom_llm_provider = "openai"
|
||||
gen = _stalled_after_first()
|
||||
fake_stream.__aiter__ = lambda self: gen
|
||||
|
||||
with pytest.raises(litellm.Timeout, match="stream_idle_timeout"):
|
||||
await router._collect_stream_with_ttft_timeout(
|
||||
response=fake_stream,
|
||||
messages=[{"role": "user", "content": "hi"}],
|
||||
ttft_timeout=5.0,
|
||||
stream_idle_timeout=0.05,
|
||||
)
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue