git:20260507.50823d8 to git:20260507.44b06c0

1 added, 1 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
graph:
domains: [domain:software-engineering]
specializations: [specialization:ai-agents-conversational]
- skillAreas: [skill-area:natural-language-processing]
+ skillAreas: [skill-area:agent-debugging-logging, skill-area:model-monitoring-drift-detection]
roles: [role:ml-engineer, role:backend-engineer]
workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
---
# 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)