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

# Post-Hook Agent-as-Judge Evaluation

> Attach AgentAsJudgeEval as an agent post_hook and read stored scores back from SqliteDb and AsyncSqliteDb.

Demonstrates synchronous and asynchronous post-hook judging.

```python agent_as_judge_post_hook.py theme={null}
"""
Post-Hook Agent-as-Judge Evaluation
===================================

Demonstrates synchronous and asynchronous post-hook judging.
"""

import asyncio

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb, SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval
from agno.models.openai import OpenAIChat

# ---------------------------------------------------------------------------
# Create Sync Resources
# ---------------------------------------------------------------------------
sync_db = SqliteDb(db_file="tmp/agent_as_judge_post_hook.db")

sync_agent_as_judge_eval = AgentAsJudgeEval(
    name="Response Quality Check",
    model=OpenAIChat(id="gpt-5.2"),
    criteria="Response should be professional, well-structured, and provide balanced perspectives",
    scoring_strategy="numeric",
    threshold=7,
    db=sync_db,
)

sync_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    instructions="Provide professional and well-reasoned answers.",
    post_hooks=[sync_agent_as_judge_eval],
    db=sync_db,
)

# ---------------------------------------------------------------------------
# Create Async Resources
# ---------------------------------------------------------------------------
async_db = AsyncSqliteDb(db_file="tmp/agent_as_judge_post_hook_async.db")

async_agent_as_judge_eval = AgentAsJudgeEval(
    name="Response Quality Check",
    model=OpenAIChat(id="gpt-5.2"),
    criteria="Response should be professional, well-balanced, and provide evidence-based perspectives",
    scoring_strategy="numeric",
    threshold=7,
    db=async_db,
)

async_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    instructions="Provide professional and well-reasoned answers.",
    post_hooks=[async_agent_as_judge_eval],
    db=async_db,
)


def print_latest_result(eval_runs):
    if eval_runs:
        latest = eval_runs[-1]
        if latest.eval_data and "results" in latest.eval_data:
            result = latest.eval_data["results"][0]
            print(f"Score: {result.get('score', 'N/A')}/10")
            print(f"Status: {'PASSED' if result.get('passed') else 'FAILED'}")
            print(f"Reason: {result.get('reason', 'N/A')[:200]}...")


async def run_async_evaluation():
    async_response = await async_agent.arun(
        "What are the benefits of renewable energy?"
    )
    print(async_response.content)

    print("Async Evaluation Results:")
    async_eval_runs = await async_db.get_eval_runs()
    print_latest_result(async_eval_runs)


# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    sync_response = sync_agent.run("What are the benefits of renewable energy?")
    print(sync_response.content)

    print("Evaluation Results:")
    sync_eval_runs = sync_db.get_eval_runs()
    print_latest_result(sync_eval_runs)

    asyncio.run(run_async_evaluation())
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno aiosqlite openai sqlalchemy
    ```
  </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 `agent_as_judge_post_hook.py`, then run:

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

Full source: [cookbook/09\_evals/agent\_as\_judge/agent\_as\_judge\_post\_hook.py](https://github.com/agno-agi/agno/blob/main/cookbook/09_evals/agent_as_judge/agent_as_judge_post_hook.py)