> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agno Telemetry

> Review Agno telemetry payloads and disable telemetry by component.

When telemetry is enabled, Agno sends per-event usage metadata to `https://os-api.agno.com` by default. Agents, teams, and workflows send an event for each run. Evals send an event for each evaluation, and AgentOS sends an event when it launches.

<Note>
  Telemetry payloads do not include prompts or responses. They include raw component, session, and run IDs. Parser and output model configuration is serialized with each model's `to_dict()` method, which can include user-supplied request fields such as `extra_headers`, `extra_query`, or `extra_body`. Do not place credentials or other sensitive data in those fields or IDs when telemetry is enabled.
</Note>

## Data Collected

| Event          | Metadata                                                                                                     |
| -------------- | ------------------------------------------------------------------------------------------------------------ |
| Agent run      | Session, run, and agent IDs; SDK version; database class; model identifiers; feature flags                   |
| Team run       | Session, run, and team IDs; SDK version; model identifiers; member count; feature flags                      |
| Workflow run   | Session, run, and workflow IDs; SDK version; database class; input-schema flag                               |
| Eval run       | Eval run ID and type; SDK version; model or component identifiers; evaluation configuration counts and flags |
| AgentOS launch | AgentOS ID; SDK version; registered agent, team, and workflow IDs; interface types                           |

### Example Telemetry Payload

An agent run telemetry payload has this shape:

```json theme={null}
{
    "session_id": "123",
    "run_id": "123",
    "sdk_version": "2.7.4",
    "type": "agent",
    "data": {
        "agent_id": "123",
        "db_type": "PostgresDb",
        "model_provider": "OpenAI",
        "model_name": "OpenAIResponses",
        "model_id": "gpt-5.2",
        "parser_model": {
            "name": "OpenAIResponses",
            "id": "gpt-5.2",
            "provider": "OpenAI"
        },
        "output_model": {
            "name": "OpenAIResponses",
            "id": "gpt-5.2",
            "provider": "OpenAI"
        },
        "has_tools": true,
        "has_memory": false,
        "has_learnings": false,
        "has_culture": false,
        "has_reasoning": true,
        "has_knowledge": true,
        "has_input_schema": false,
        "has_output_schema": false,
        "has_team": true
    }
}
```

## How to Disable Telemetry

You can disable telemetry in two ways:

### Environment Variable

Set `AGNO_TELEMETRY` to `false` to disable telemetry for agents, teams, and workflows:

```bash theme={null}
export AGNO_TELEMETRY=false
```

AgentOS and evals do not read `AGNO_TELEMETRY`. Configure those instances directly with `telemetry=False`.

### Per-Instance Configuration

Disable telemetry for specific agents, teams, workflows, or AgentOS instances:

```python theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses

# Disable telemetry for a specific agent
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    telemetry=False
)
```

This works for:

* **Agents**: `Agent(telemetry=False)`
* **Teams**: `Team(telemetry=False)`
* **Workflows**: `Workflow(telemetry=False)`
* **Evals**: `AccuracyEval(telemetry=False)` (also `PerformanceEval`, `ReliabilityEval`, and `AgentAsJudgeEval`)
* **AgentOS**: `AgentOS(telemetry=False)`

## Developer Resources

* [Agent schema](/reference/agents/agent)
* [Team schema](/reference/teams/team)
* [Workflow schema](/reference/workflows/workflow)