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traceloop-sdk

Traceloop Software Development Kit (SDK) for Python

With conditionsPyPI MonitoringReleased Aug 20262.5M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — traceloop_sdk-0.62.3-py3-none-any.whl
v0.62.3 · released 2026-08-10 · Python <4,>=3.10 · 50 runtime deps: aiohttp, colorama, cuid, deprecated, jinja2, opentelemetry-api, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-exporter-otlp-proto-http

Yes, if you are building or operating LLM applications and need visibility into their behavior. The SDK is actively maintained, has no known vulnerabilities, and integrates seamlessly with popular frameworks. Install friction is low and the permissive license poses no barrier. Verify whether Traceloop's managed service fits your cost model and whether the instrumentation overhead is acceptable for your workload.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Low friction install as a pure Python wheel.
  • Active maintenance with a recent release (4 days old) and strong community signal (7377 stars).

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,535,788 downloads/mo, #3,016 on PyPI

Verify before relying

pip install traceloop-sdk

from traceloop.sdk import Traceloop

Traceloop.init(app_name="my_app")
# Your LLM code is now traced
  • Whether traces sent to Traceloop incur costs or require a paid account.
  • Performance overhead of tracing in production workloads.
  • How to configure which LLM framework instrumentations are loaded selectively.
  • Full list of supported LLM providers and frameworks beyond those in runtime dependencies.
Same gist for agents: .md · .json

What it is and what it does

Traceloop SDK is a Python instrumentation library that captures execution traces from LLM applications—calls to OpenAI, Anthropic, LangChain, LlamaIndex, and other frameworks—and exports them to Traceloop's cloud platform or to your own OpenTelemetry-compatible observability stack. It wraps your LLM code non-intrusively, meaning you initialize it once and then your existing application code generates traces automatically without modification.

The SDK includes built-in instrumentation for many LLM providers and frameworks (OpenAI, Anthropic, Bedrock, Cohere, Groq, LangChain, LlamaIndex, CrewAI, and others), plus vector databases and logging. You choose where traces go—Traceloop's managed service or your own observability backend via OTLP gRPC or HTTP exporters. It's designed for debugging, monitoring, and understanding LLM application behavior in development and production.

Use it for

  • Debug LLM application failures by inspecting full execution traces including all API calls and responses.
  • Monitor token usage and latency across multiple LLM providers in a single dashboard.
  • Export traces to an existing observability platform via OpenTelemetry OTLP exporters.
  • Track performance of LangChain or LlamaIndex workflows across complex multi-step operations.
  • Audit and log all interactions with external LLM APIs for compliance or cost analysis.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building or operating LLM applications and need visibility into their behavior.

The SDK is actively maintained, has no known vulnerabilities, and integrates seamlessly with popular frameworks. Install friction is low and the permissive license poses no barrier. Verify whether Traceloop's managed service fits your cost model and whether the instrumentation overhead is acceptable for your workload.

Install

traceloop-sdk on PyPI

Before you install

Low friction install as a pure Python wheel. Active maintenance with a recent release (4 days old) and strong community signal (7377 stars). 50 runtime dependencies, mostly OpenTelemetry instrumentation packages for specific LLM frameworks, means you pay the cost of what you actually use.

Requires Python 3.10 or later.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart

pip install traceloop-sdk

from traceloop.sdk import Traceloop

Traceloop.init(app_name="my_app")
# Your LLM code is now traced

Verify before relying

  • Whether traces sent to Traceloop incur costs or require a paid account.
  • Performance overhead of tracing in production workloads.
  • How to configure which LLM framework instrumentations are loaded selectively.
  • Full list of supported LLM providers and frameworks beyond those in runtime dependencies.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <4,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
50 packages
aiohttpcoloramacuiddeprecatedjinja2opentelemetry-apiopentelemetry-exporter-otlp-proto-grpcopentelemetry-exporter-otlp-proto-httpopentelemetry-instrumentation-agnoopentelemetry-instrumentation-alephalphaopentelemetry-instrumentation-anthropicopentelemetry-instrumentation-bedrockopentelemetry-instrumentation-chromadbopentelemetry-instrumentation-cohereopentelemetry-instrumentation-crewaiopentelemetry-instrumentation-google-generativeaiopentelemetry-instrumentation-groqopentelemetry-instrumentation-haystackopentelemetry-instrumentation-lancedbopentelemetry-instrumentation-langchainopentelemetry-instrumentation-litellmopentelemetry-instrumentation-llamaindexopentelemetry-instrumentation-loggingopentelemetry-instrumentation-marqoopentelemetry-instrumentation-mcpopentelemetry-instrumentation-milvusopentelemetry-instrumentation-mistralaiopentelemetry-instrumentation-ollamaopentelemetry-instrumentation-openaiopentelemetry-instrumentation-openai-agents
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads2,535,788 / month, #3,016 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: traceloop_sdk-0.62.3-py3-none-any.whl

Tags

Capabilities
llm tracing and monitoringopentelemetry llm instrumentationai application observabilityllm debugging and tracesopenai call tracingdistributed tracing for ailangchain observability
Topics
llm-observabilityopentelemetrytracing

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See also lmnr · opentelemetry-instrumentation-openai · openinference-instrumentation-openai · opentelemetry-instrumentation-groq · opentelemetry-instrumentation-ollama · aliyun-trace · opik · opentelemetry-instrumentation-llamaindex · lumigo-tracer · langsmith