traceloop-sdk
Traceloop Software Development Kit (SDK) for Python
Decision gist · record as of 2026-08-14
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
Alternatives
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.
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.
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
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 50 packagesaiohttpcoloramacuiddeprecatedjinja2opentelemetry-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 |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,535,788 / month, #3,016 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: traceloop_sdk-0.62.3-py3-none-any.whl
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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