opentelemetry-instrumentation-together
OpenTelemetry Together AI instrumentation
Decision gist · record as of 2026-08-14
Yes, if you use Together AI and already have OpenTelemetry instrumentation in place. The package is actively maintained, has no known vulnerabilities, and low install friction. It directly solves the problem of observing Together AI API calls within an OpenTelemetry-based system. Be aware that content logging is on by default—set TRACELOOP_TRACE_CONTENT=false if you handle sensitive data.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Requires an active OpenTelemetry SDK and exporter already configured in your application.
- Low install friction with a pure-Python wheel and four runtime dependencies, all within the OpenTelemetry ecosystem.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and proprietary projects 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) · 6,824,743 downloads/mo, #1,840 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-together
from opentelemetry.instrumentation.together import TogetherAiInstrumentor
TogetherAiInstrumentor().instrument()- Whether the package works with all Together AI API endpoints or only a subset.
- Performance overhead of instrumentation on production workloads.
- Compatibility with specific OpenTelemetry exporter backends.
What it is and what it does
This package hooks into the official Together AI Python library to automatically capture telemetry data from API calls. It wraps Together AI requests and records prompts, completions, and embeddings as attributes in OpenTelemetry spans, integrating with your existing observability infrastructure.
By default it logs all content to spans for visibility into LLM application behavior, but you can disable this via the TRACELOOP_TRACE_CONTENT environment variable if you need to protect sensitive user data or reduce trace size. It depends on the core OpenTelemetry instrumentation framework and semantic conventions for AI workloads.
Use it for
- Debug Together AI API calls by inspecting prompts and responses in your trace backend.
- Monitor LLM application performance and latency across Together AI endpoints.
- Correlate Together AI requests with other application traces for end-to-end observability.
- Evaluate output quality by reviewing completions captured in span attributes.
- Reduce trace verbosity in production by disabling content logging while keeping call metrics.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Together AI and already have OpenTelemetry instrumentation in place.
The package is actively maintained, has no known vulnerabilities, and low install friction. It directly solves the problem of observing Together AI API calls within an OpenTelemetry-based system. Be aware that content logging is on by default—set TRACELOOP_TRACE_CONTENT=false if you handle sensitive data.
Install
opentelemetry-instrumentation-together on PyPI
Before you install
Low install friction with a pure-Python wheel and four runtime dependencies, all within the OpenTelemetry ecosystem. Active maintenance with a recent release.
Requires Python 3.10 or later. Requires an active OpenTelemetry SDK and exporter already configured in your application.
License in practice
Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-together
from opentelemetry.instrumentation.together import TogetherAiInstrumentor
TogetherAiInstrumentor().instrument()Verify before relying
- Whether the package works with all Together AI API endpoints or only a subset.
- Performance overhead of instrumentation on production workloads.
- Compatibility with specific OpenTelemetry exporter backends.
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 | 4 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions-aiopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,824,743 / month, #1,840 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_together-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-openai · opentelemetry-instrumentation-cohere · opentelemetry-instrumentation-vertexai · opentelemetry-instrumentation-writer · opentelemetry-instrumentation-alephalpha · opentelemetry-semantic-conventions-ai · opentelemetry-instrumentation-voyageai · opentelemetry-instrumentation-replicate · opentelemetry-instrumentation-google-generativeai · opentelemetry-instrumentation-haystack