60a670f093
* Added span support for llm invocation * removed invalid code * added entry point and fixed unwrap * fixed check runs and updated dependencies * fixed ruff error * moved span generation code and added test coverage * ruff formatting * ruff formatting again * removed config exception logger * removed dontThrow * fixed span name * fixed ruff * fixed typecheck * added span exist check * fixed typecheck * removed start time from span state and moved error handler method to span manager * fixed ruff * made SpanManager class and method private * removed deprecated gen_ai.system attribute * Moved model to fixture and changed imports * Fixed ruff errors and renamed method * Added bedrock support and test * Fixed ruff errors * Addressed Aaron's comments * Reverted versions and ignored typecheck errors * removed context and added issue * fixed versions * skipped telemetry for other than ChatOpenAI and ChatBedrock. Added test for the same. * Fixed telemetry skipping logic * Fixed ruff * added notice file * fixed conflict * fixed ruff and typecheck * fixed ruff * upgraded semcov version --------- Co-authored-by: Aaron Abbott <aaronabbott@google.com> |
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| .. | ||
| .env | ||
| README.rst | ||
| main.py | ||
| requirements.txt | ||
README.rst
OpenTelemetry Langchain Zero-Code Instrumentation Example
======================================================
This is an example of how to instrument Langchain with zero code changes,
using `opentelemetry-instrument`.
When :code:`main.py <main.py>`_ is run, it exports traces to an OTLP-compatible endpoint.
Traces include details such as the span name and other attributes.
Note: :code:`.env <.env>`_ file configures additional environment variables:
- :code:`OTEL_LOGS_EXPORTER=otlp` to specify exporter type.
- :code:`OPENAI_API_KEY` open AI key for accessing the OpenAI API.
- :code:`OTEL_EXPORTER_OTLP_ENDPOINT` to specify the endpoint for exporting traces (default is http://localhost:4317).
Setup
-----
Minimally, update the :code:`.env <.env>`_ file with your :code:`OPENAI_API_KEY`.
An OTLP compatible endpoint should be listening for traces http://localhost:4317.
If not, update :code:`OTEL_EXPORTER_OTLP_ENDPOINT` as well.
Next, set up a virtual environment like this:
::
python3 -m venv .venv
source .venv/bin/activate
pip install "python-dotenv[cli]"
pip install -r requirements.txt
Run
---
Run the example like this:
::
dotenv run -- opentelemetry-instrument python main.py
You should see the capital of France generated by Langchain ChatOpenAI while traces export to your configured observability tool.