langfuse-integration ยท diff
git:20260325.a6b3a88 to git:20260507.313363d
67 added, 64 removed. Audit A to A.
- ---
- name: langfuse-integration
- description: LangFuse LLM observability integration for tracing, analytics, and cost tracking
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- ---
-
- # LangFuse Integration Skill
-
- ## Capabilities
-
- - Set up LangFuse tracing for LLM calls
- - Configure cost tracking and analytics
- - Implement prompt management
- - Set up evaluation datasets
- - Design custom trace metadata
- - Create dashboards and alerts
-
- ## Target Processes
-
- - llm-observability-monitoring
- - cost-optimization-llm
-
- ## Implementation Details
-
- ### Core Features
-
- 1. **Tracing**: Track LLM calls, chains, and agents
- 2. **Prompts**: Version and manage prompts
- 3. **Analytics**: Usage, latency, cost metrics
- 4. **Datasets**: Evaluation and testing data
- 5. **Scores**: Track output quality
-
- ### Integration Methods
-
- - LangChain callback handler
- - Direct SDK integration
- - OpenAI drop-in replacement
- - Decorator-based tracing
-
- ### Configuration Options
-
- - Public/secret keys
- - Host URL (cloud or self-hosted)
- - Sampling rate
- - Metadata configuration
- - User tracking
-
- ### Best Practices
-
- - Consistent trace naming
- - Meaningful metadata
- - Regular prompt versioning
- - Set up alerting
-
- ### Dependencies
-
- - langfuse
- - langchain (for callback integration)
+ ---
+ name: langfuse-integration
+ description: LangFuse LLM observability integration for tracing, analytics, and cost tracking
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+
+ ---
+
+ # LangFuse Integration Skill
+
+ ## Capabilities
+
+ - Set up LangFuse tracing for LLM calls
+ - Configure cost tracking and analytics
+ - Implement prompt management
+ - Set up evaluation datasets
+ - Design custom trace metadata
+ - Create dashboards and alerts
+
+ ## Target Processes
+
+ - llm-observability-monitoring
+ - cost-optimization-llm
+
+ ## Implementation Details
+
+ ### Core Features
+
+ 1. **Tracing**: Track LLM calls, chains, and agents
+ 2. **Prompts**: Version and manage prompts
+ 3. **Analytics**: Usage, latency, cost metrics
+ 4. **Datasets**: Evaluation and testing data
+ 5. **Scores**: Track output quality
+
+ ### Integration Methods
+
+ - LangChain callback handler
+ - Direct SDK integration
+ - OpenAI drop-in replacement
+ - Decorator-based tracing
+
+ ### Configuration Options
+
+ - Public/secret keys
+ - Host URL (cloud or self-hosted)
+ - Sampling rate
+ - Metadata configuration
+ - User tracking
+
+ ### Best Practices
+
+ - Consistent trace naming
+ - Meaningful metadata
+ - Regular prompt versioning
+ - Set up alerting
+
+ ### Dependencies
+
+ - langfuse
+ - langchain (for callback integration)