agents-features-opentelemetry
Provides OpenTelemetry integration for monitoring and tracing AI agents in the Koog framework.
Overview
The agents-features-opentelemetry module enables observability for AI agents by integrating with OpenTelemetry, allowing you to:
Monitor agent performance and behavior
Debug issues in complex agent workflows
Visualize the execution flow of your agents
Track LLM calls and tool usage
Analyze agent behavior patterns
Key features include:
Automatic span creation for agent events (agent execution, node execution, LLM calls, tool calls)
Support for various exporters (OTLP, Logging) and integrations (Langfuse, W&B Weave, Datadog)
Customizable sampling strategies
Resource attributes following the OpenTelemetry Semantic Convention for GenAI
Integration with observability systems like Jaeger
For installation, configuration, and runnable examples (including Jaeger and the Langfuse, W&B Weave, and Datadog exporters), see the OpenTelemetry support documentation.
Provides OpenTelemetry integration for monitoring and tracing AI agents in the Koog framework.
Overview
The agents-features-opentelemetry module enables observability for AI agents by integrating with OpenTelemetry, allowing you to:
Monitor agent performance and behavior
Debug issues in complex agent workflows
Visualize the execution flow of your agents
Track LLM calls and tool usage
Analyze agent behavior patterns
Key features include:
Automatic span creation for agent events (agent execution, node execution, LLM calls, tool calls)
Support for various exporters (OTLP, Logging) and integrations (Langfuse, W&B Weave, Datadog)
Customizable sampling strategies
Resource attributes following the OpenTelemetry Semantic Convention for GenAI
Integration with observability systems like Jaeger
For installation, configuration, and runnable examples (including Jaeger and the Langfuse, W&B Weave, and Datadog exporters), see the OpenTelemetry support documentation.
Provides OpenTelemetry integration for monitoring and tracing AI agents in the Koog framework.
Overview
The agents-features-opentelemetry module enables observability for AI agents by integrating with OpenTelemetry, allowing you to:
Monitor agent performance and behavior
Debug issues in complex agent workflows
Visualize the execution flow of your agents
Track LLM calls and tool usage
Analyze agent behavior patterns
Key features include:
Automatic span creation for agent events (agent execution, node execution, LLM calls, tool calls)
Support for various exporters (OTLP, Logging) and integrations (Langfuse, W&B Weave, Datadog)
Customizable sampling strategies
Resource attributes following the OpenTelemetry Semantic Convention for GenAI
Integration with observability systems like Jaeger
For installation, configuration, and runnable examples (including Jaeger and the Langfuse, W&B Weave, and Datadog exporters), see the OpenTelemetry support documentation.