# Agno

> Capture traces from Agno agents and teams

## Choose a setup method

| Method | Use it when |
| - | - |
| **Voxmith skill** | You want your coding agent to inspect the app, make the change, and verify it. |
| **Voxmith SDK** | You want explicit control over the interaction boundaries and fields. |
| **OpenTelemetry** | The framework already emits useful spans or you operate an OTel pipeline. |

Start with one method for a call path. Combining SDK tracking with framework
OpenTelemetry on the same call can create duplicate interactions.

## Recommended: Voxmith skill

<Note>
  **Recommended.** Choose this path when you want your coding agent to inspect the
  project, select a supported transport, make the smallest instrumentation change,
  send a test event, and verify that it reached Voxmith.
</Note>

Install the skill once in your coding-agent environment:

```bash theme={null}
npx skills add Voxmith/skills --skill voxmith
```

Run the framework-specific prompt below from the application root. Review the
resulting diff before deploying it.

```text theme={null}
Use the voxmith skill to add Voxmith analytics to this Agno application.
Org ID: your-org-id
Instrument the real agent.run() path and verify one fresh interaction.
```

## Manual setup: Voxmith SDK

```bash theme={null}
pip install voxmith
```

```python theme={null}
import voxmith

voxmith.init("your-org-id")
interaction = voxmith.begin(user_id="u-42", agent_name="agno-support", input=prompt)
try:
    response = agent.run(prompt)
    interaction.end(output=response.content)
except Exception as exc:
    interaction.end(output=str(exc), success=False)
    raise
finally:
    voxmith.shutdown()
```

## Manual setup: OpenTelemetry

### Install

```bash theme={null}
pip install agno openinference-instrumentation-agno \
            opentelemetry-sdk opentelemetry-exporter-otlp-proto-http
```

### Setup

```python theme={null}
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from openinference.instrumentation.agno import AgnoInstrumentor
from openinference.instrumentation import using_attributes
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter

os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = "https://otel.voxmith.com"
os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = "X-Voxmith-Org-ID=<your-org-id>"

provider = TracerProvider()
provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
trace.set_tracer_provider(provider)
AgnoInstrumentor().instrument()

agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    session_id="sess-123",   # Agno's first-class session
    user_id="u-42",
)

with using_attributes(session_id="sess-123", user_id="u-42"):
    agent.print_response("Hello")
```

Agno itself supports `session_id` and `user_id` as `Agent` constructor params. Spans carry OpenInference attributes plus `agno.agent.name` / `agno.team.name`. Instrument once at process start; child agents in teams inherit.

### Alternative: OpenLit

`openlit.init(...)` is also supported and auto-instruments common providers in one shot.

### Verify

Run one `agent.print_response` call, then open **Events** in Voxmith. Confirm spans include `session_id`, `user_id`, and `agno.agent.name`.

### Troubleshooting

* Instrument once at process start before agent calls.
* Confirm `OTEL_EXPORTER_OTLP_HEADERS` contains `X-Voxmith-Org-ID=<your-org-id>`.
* If child team spans are missing, confirm the parent Agno agent is instrumented before teams are constructed.

### References

* [Enable OpenTelemetry export](https://docs.agno.com/observability/openlit)
* [Add custom metadata](https://docs.agno.com/tracing/overview)

## Next steps

* [Conversations](/using-conversations): review the complete Agno interaction.
* [Events](/using-events): inspect the spans Voxmith received.
* [Intents](/using-intents): organize production conversations by what users wanted.