Agentes de IA
opik
Open-source LLM observability: trace, evaluate and monitor apps and agents
★ 22,5k estrellasApache-2.0
Ver la guía →openllmetry es un proyecto de agentes de IA de código abierto de traceloop (traceloop/openllmetry en GitHub). Tiene 7.477 estrellas en GitHub y 1.134 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 6 de octubre de 2026.
OpenTelemetry-native observability for LLM apps.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Vendor-neutral traces, metrics, and logs.
Captures prompts, completions, and token usage.
Drop-in tracing for Python LLM apps.
Maintained by the Traceloop team.
Permissive licensing.
Built for operating GenAI in production.
Add the instrumentation package to your project.
pip install openllmetryInitialize tracing at your app's startup per the docs.
# see docs for the init snippetSend traces to your OpenTelemetry collector or backend.
# works with Jaeger, Grafana, and other OTel backendsIt is maintained by Traceloop at traceloop/openllmetry, with 1,134 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
The instrumentation is free; you bring your own tracing backend, self-hosted or otherwise.
It is OpenTelemetry-native and vendor-neutral, so it fits existing observability stacks rather than a dedicated LLM platform.
Install the package, initialize it in your app per the docs, and point it at your collector.
Open-source LLM observability: trace, evaluate and monitor apps and agents
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