opentelemetry-instrumentation-alephalpha
OpenTelemetry Aleph Alpha instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are using the Aleph Alpha Client and need observability into LLM calls. The package is actively maintained, has no known vulnerabilities, and integrates seamlessly into OpenTelemetry workflows. Be aware that by default it logs sensitive data (prompts and completions) to traces—set TRACELOOP_TRACE_CONTENT=false if privacy is a concern.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; the Aleph Alpha Client must be installed separately for instrumentation to have effect.
- Low friction install with four runtime dependencies, all from the OpenTelemetry ecosystem.
- The package is actively maintained with a recent release (4 days old) and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use this package freely in commercial and private projects without restriction, though you must include a copy of the license.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,886,464 downloads/mo, #1,822 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-alephalpha
from opentelemetry.instrumentation.alephalpha import AlephAlphaInstrumentor
AlephAlphaInstrumentor().instrument()- Whether this instrumentation works with all versions of the Aleph Alpha Client or only specific versions.
- Performance overhead when tracing is enabled, especially with TRACELOOP_TRACE_CONTENT set to true.
- How to configure which OpenTelemetry exporters receive the trace data.
What it is and what it does
This package is an OpenTelemetry instrumentation plugin that automatically intercepts and traces all calls made through the official Aleph Alpha Client library. Once initialized with a single call to `AlephAlphaInstrumentor().instrument()`, it captures request and response data as OpenTelemetry spans, enabling you to observe and debug your LLM application's behavior.
By default, the instrumentation logs prompts, completions, and embeddings to span attributes for full visibility into your application's LLM interactions. This can be disabled by setting the `TRACELOOP_TRACE_CONTENT` environment variable to `false` if you need to protect sensitive user data or reduce trace size. The package integrates with the OpenTelemetry ecosystem, meaning the traces it generates can be exported to any backend that supports OpenTelemetry (Jaeger, Datadog, etc.).
Use it for
- Debug LLM application behavior by examining prompts, completions, and embeddings in distributed traces.
- Monitor Aleph Alpha API performance and latency across your application without modifying client code.
- Collect observability data for quality evaluation and cost analysis of LLM calls in production.
- Integrate Aleph Alpha tracing into an existing OpenTelemetry observability stack.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using the Aleph Alpha Client and need observability into LLM calls.
The package is actively maintained, has no known vulnerabilities, and integrates seamlessly into OpenTelemetry workflows. Be aware that by default it logs sensitive data (prompts and completions) to traces—set TRACELOOP_TRACE_CONTENT=false if privacy is a concern.
Install
opentelemetry-instrumentation-alephalpha on PyPI
Before you install
Low friction install with four runtime dependencies, all from the OpenTelemetry ecosystem. The package is actively maintained with a recent release (4 days old) and no known vulnerabilities.
Requires Python 3.10 or later; the Aleph Alpha Client must be installed separately for instrumentation to have effect.
License in practice
Apache-2.0 is permissive; you can use this package freely in commercial and private projects without restriction, though you must include a copy of the license.
Quickstart
pip install opentelemetry-instrumentation-alephalpha
from opentelemetry.instrumentation.alephalpha import AlephAlphaInstrumentor
AlephAlphaInstrumentor().instrument()Verify before relying
- Whether this instrumentation works with all versions of the Aleph Alpha Client or only specific versions.
- Performance overhead when tracing is enabled, especially with TRACELOOP_TRACE_CONTENT set to true.
- How to configure which OpenTelemetry exporters receive the trace data.
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 | 6,886,464 / month, #1,822 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_alephalpha-0.62.3-py3-none-any.whl
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See also aleph-alpha-client · opentelemetry-instrumentation-groq · opentelemetry-instrumentation-openai · opentelemetry-instrumentation-writer · aliyun-trace · opentelemetry-instrumentation-ollama · opentelemetry-instrumentation-vertexai · opentelemetry-instrumentation-together · opentelemetry-instrumentation-mistralai · promptflow-tracing