gen_ai_client_operation_time

GenAI operation duration

Dimensions:None

Technical Annotations (19)

Configuration Parameters (2)

timeoutrecommended: 60.0

Timeout in seconds for longer inference responses

http_options.timeoutrecommended: Set in generation config, not client constructor

Client constructor http_options parameter is ignored; timeout must be configured in generation config

Error Signatures (1)

server disconnectedlog pattern

Technical References (16)

LLM pipelinescomponentBackend APIcomponentUIcomponentSDKcomponenthttps://api.inference.wandb.ai/v1componentexponential backoffconceptrate limitconceptweave.opcomponent_async_wrappercomponentpostprocess_outputcomponentcontextvarscomponentevent loopconceptevaluation loopconceptgenai.Clientcomponenttypes.HttpOptionscomponentgeneration configcomponent

Related Insights (11)

Observability Blind Spots in Multi-Agent Tracescritical

Distributed agent architectures require trace correlation across multiple context windows and parallel execution paths. Without proper instrumentation, teams lose visibility into subagent activities, making root cause analysis impossible when investigations fail.

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LLM Request Timeout After Inactivitywarning

LangChain LLM requests timeout after periods of inactivity due to connection pool staleness or dropped connections, requiring server restart to resolve.

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LLM Rate Limiting Without Backoffwarning

LLM provider rate limits cause request failures that aren't retried with appropriate backoff, leading to cascading failures during usage spikes.

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AI Token Consumption Cost and Latency Spikewarning

High gen_ai_client_token_usage and gen_ai_client_operation_time indicate expensive or slow AI model calls, causing both cost overruns and user-facing latency. Large context windows or inefficient prompt engineering amplify this issue.

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LLM pipeline bottlenecks cause slow user responseswarning

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Traffic pattern changes cause elevated API latencywarning

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Insufficient timeout causes failures for longer inference responseswarning

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Retry logic with exponential backoff multiplies token costswarning

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Model routing to appropriate tiers saves thousands monthlyinfo

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Async wrapper anti-pattern inflates trace timing in eval loopswarning

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GenAI SDK client timeout configuration ignored causing 5-minute hard limitwarning

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