> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Gmail Draft Reply Agent

> Reads a conversation thread and drafts a contextual reply.

Reads a conversation thread and drafts a contextual reply. The agent never sends -- it only creates drafts for human review.

```python draft_reply.py theme={null}
"""
Gmail Draft Reply Agent
=======================
Reads a conversation thread and drafts a contextual reply.
The agent never sends -- it only creates drafts for human review.

Key concepts:
- Thread-aware drafting: thread_id + message_id link the draft to the conversation

Setup:
1. Create OAuth credentials at https://console.cloud.google.com (enable Gmail API)
2. Export GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, GOOGLE_PROJECT_ID env vars
3. pip install openai google-api-python-client google-auth-httplib2 google-auth-oauthlib
4. First run opens browser for OAuth consent, saves token.json for reuse
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.google.gmail import GmailTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    name="Draft Reply Agent",
    model=OpenAIResponses(id="gpt-5.5"),
    tools=[GmailTools()],
    instructions=[
        "Match the tone and formality of the existing conversation.",
        "Keep replies concise and professional unless instructed otherwise.",
        "Always create a draft -- never send directly.",
        "Summarize the thread context so the user knows what the reply addresses.",
    ],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Demo
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent.print_response(
        "Find the most recent thread about 'project update' and draft a reply "
        "acknowledging the update and asking about next steps",
        stream=True,
    )

    # Draft a reply to a specific sender
    # agent.print_response(
    #     "Find the latest email from john@example.com and draft a polite follow-up reply",
    #     stream=True,
    # )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno google-api-python-client google-auth google-auth-httplib2 google-auth-oauthlib openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `draft_reply.py`, then run:

    ```bash theme={null}
    python draft_reply.py
    ```
  </Step>
</Steps>

Full source: [cookbook/91\_tools/google/gmail/draft\_reply.py](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/google/gmail/draft_reply.py)