> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://www.comet.com/docs/opik/integrations/prompt-flow/llms.txt.

# Observability for Prompt Flow with Opik

> Configure Prompt Flow tracing with OpenTelemetry endpoint settings compatible with Opik deployment modes.

[Prompt Flow](https://microsoft.github.io/promptflow/) enables tracing through Prompt Flow APIs and uses OpenTelemetry export settings for outbound telemetry.

## When this guide applies

Use this when your Prompt Flow project already uses Prompt Flow tracing and you want its telemetry exported into Opik.

## Opik OTLP endpoint modes

For full endpoint/header details, see [Opik OpenTelemetry overview](/integrations/opentelemetry).

#### Opik Cloud

```bash wordWrap
export OTEL_EXPORTER_OTLP_ENDPOINT=https://www.comet.com/opik/api/v1/private/otel
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=<your-api-key>,Comet-Workspace=<your-workspace>,projectName=<your-project-name>'
```

Required headers: `Authorization`, `Comet-Workspace`
Optional headers: `projectName`

#### Enterprise deployment

```bash wordWrap
export OTEL_EXPORTER_OTLP_ENDPOINT=https://<comet-deployment-url>/opik/api/v1/private/otel
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=<your-api-key>,Comet-Workspace=<your-workspace>,projectName=<your-project-name>'
```

Required headers: `Authorization`, `Comet-Workspace`
Optional headers: `projectName`

#### Self-hosted instance

```bash wordWrap
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:5173/api/v1/private/otel
export OTEL_EXPORTER_OTLP_HEADERS='projectName=<your-project-name>'
```

Required headers: none by default
Optional headers: `projectName`, auth headers if enabled

## Example (Prompt Flow tracing API)

Intent:
Enable Prompt Flow tracing and export telemetry through your configured OTLP endpoint.

Applies when:
You use Prompt Flow's native tracing API and want those traces exported via your OTEL settings.

Required inputs:

* Prompt Flow tracing enabled in code
* OTEL endpoint/header env vars for your Opik mode

Optional inputs:

* service/resource metadata
* additional OTel collector routing or enrichment

Minimal valid setup:

```python
from promptflow.tracing import start_trace

start_trace()

# Run prompt flow pipeline as usual.
```

## Validation

1. Run a flow with `start_trace()` enabled.
2. Confirm telemetry export calls are made to your configured OTLP endpoint.
3. Verify trace records appear in the expected Opik project.

## Source references

* [Prompt Flow tracing docs](https://microsoft.github.io/promptflow/how-to-guides/tracing/index.html)
* [Opik OpenTelemetry overview](/integrations/opentelemetry)

> Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.