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Running
Running
| # Auto instrumentation | |
| To run the bot with auto-instrumentation use the following command: | |
| ```shell | |
| $ uv sync --group examples | |
| $ export OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED=true | |
| $ opentelemetry-instrument \ | |
| --traces_exporter console,otlp \ | |
| --metrics_exporter console,otlp \ | |
| --logs_exporter console,otlp \ | |
| --service_name pipecat-opentelemetry \ | |
| python3 bot.py | |
| ``` | |
| To receive the traces you will need to setup some kind of opentelemetry | |
| collector. You can use Grafana's LGTM stack by running: | |
| ```shell | |
| docker run -it -p 3000:3000 -p 4317:4317 -p 4318:4318 grafana/otel-lgtm | |
| ``` | |
| Once started navigate to the explore tab, then select Tempo as source | |
| and click on the search tab. | |
| You can now run the python application to generator a trace. | |
| You should be able to see it in the search tab of Tempo. | |
| You can configure the OTLP exporter with environment variables ( | |
| see [here](https://opentelemetry.io/docs/languages/sdk-configuration/otlp-exporter/)) | |
| See python specific configuration | |
| on [this page](https://opentelemetry.io/docs/zero-code/python/configuration/#python-specific-configuration) | |