TraceLoop Releases OpenLLMetry For Agentic Workflows
TraceLoop this month launched OpenLLMetry, an open-source project that applies the OpenTelemetry protocol to agentic AI workflows, announced in a Cloud Native Computing Foundation session. The toolkit captures LLM interactions, vector-database calls, tokens, and model versions via SDKs for Python, JavaScript/TypeScript, Ruby, and Go, supports more than 30 LLMs and common vector stores, and enables tracing, cost attribution, and RAG troubleshooting. TraceLoop's commercial platform supports OpenLLMetry and the company raised $6.1 million in seed funding last May.
Key Points
- 1Captures LLM interactions, vector DB operations, tokens, model versions via OpenTelemetry-tailored SDKs
- 2Enables end-to-end tracing across agentic workflows, handing off trace IDs between MCP services
- 3Allows teams to attribute token costs and troubleshoot RAG, prompt templates, and performance hotspots
Scoring Rationale
Useful open-source observability tool with practical instrumentation and tracing, limited by niche scope and incremental novelty.
Sources
Public references used for this report.
Practice with real Logistics & Shipping data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Logistics & Shipping problems