[Agno](https://github.com/agno-agi/agno) is a lightweight, high-performance library for building AI agents.

Agno's primary advantage is its minimal overhead and efficient execution, making it ideal for production environments where performance is critical while maintaining simplicity in agent development.

:::frame
<img src="../img/apps/opik-documentation/documentation/fern/img/tracing/agno_integration.png" alt="Agno tracing">
:::

## Getting started

To use the Agno integration with Opik, you will need to have the following
packages installed:

```bash
pip install -U agno openai opentelemetry-sdk opentelemetry-exporter-otlp openinference-instrumentation-agno yfinance
```

In addition, you will need to set the following environment variables to
configure the OpenTelemetry integration:

:::::tabs
::::tab{title="Opik Cloud"}
If you are using Opik Cloud, you will need to set the following
environment variables:

```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=default'
```

:::callout{intent="tip"}
To log the traces to a specific project, you can add the
`projectName` parameter to the `OTEL_EXPORTER_OTLP_HEADERS`
environment variable:

```bash wordWrap
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=<your-api-key>,Comet-Workspace=default,projectName=<your-project-name>'
```

You can also update the `Comet-Workspace` parameter to a different
value if you would like to log the data to a different workspace.
:::
::::

::::tab{title="Enterprise deployment"}
If you are using an Enterprise deployment of Opik, you will need to set the following
environment variables:

```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=default'
```

:::callout{intent="tip"}
To log the traces to a specific project, you can add the
`projectName` parameter to the `OTEL_EXPORTER_OTLP_HEADERS`
environment variable:

```bash wordWrap
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=<your-api-key>,Comet-Workspace=default,projectName=<your-project-name>'
```

You can also update the `Comet-Workspace` parameter to a different
value if you would like to log the data to a different workspace.
:::
::::

::::tab{title="Self-hosted instance"}
If you are self-hosting Opik, you will need to set the following environment
variables:

```bash
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:5173/api/v1/private/otel
```

:::callout{intent="tip"}
To log the traces to a specific project, you can add the `projectName`
parameter to the `OTEL_EXPORTER_OTLP_HEADERS` environment variable:

```bash
export OTEL_EXPORTER_OTLP_HEADERS='projectName=<your-project-name>'
```
:::
::::
:::::

## Using Opik with Agno

The example below shows how to use the Agno integration with Opik:

```python
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from openinference.instrumentation.agno import AgnoInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

# Configure the tracer provider
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter()))
trace_api.set_tracer_provider(tracer_provider=tracer_provider)

# Start instrumenting agno
AgnoInstrumentor().instrument()

# Create and configure the agent
agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[YFinanceTools()],
    instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
    debug_mode=True,
)

# Use the agent
agent.print_response("What is the current price of Apple?")
```

## Further improvements

If you would like to see us improve this integration, simply open a new feature
request on [Github](https://github.com/comet-ml/opik/issues).

## Related pages

- [Observability for AG2 with Opik](./python-ag2.md)
- [Observability for Agent Spec with Opik](./python-agentspec.md)
- [Observability for BeeAI (Python) with Opik](./python-beeai.md)
- [Observability for Claude Agent SDK with Opik](./python-claude-agent-sdk.md)
- [Observability for AutoGen with Opik](./python-autogen.md)
- [Observability for CrewAI with Opik](./python-crewai.md)
- [Observability for DSPy with Opik](./python-dspy.md)
- [Observability for Google Agent Development Kit (Python) with Opik](./python-adk.md)
- [Observability for Haystack with Opik](./python-haystack.md)
- [Observability for Harbor with Opik](./python-harbor.md)

# Agent Instructions

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