# Redis Agent Playbooks quickstart

```json metadata
{
  "schema_version": 2,
  "title": "Redis Agent Playbooks quickstart",
  "description": "Publish an FAQ, retrieve it for an agent, and update the answer with Python, HTTP, or the Iris CLI.",
  "categories": ["docs","develop","ai"],
  "tableOfContents": {"sections":[{"id":"before-you-begin","title":"Before you begin"},{"id":"connect-to-the-playbook","title":"Connect to the playbook"},{"id":"create-an-faq","title":"Create an FAQ"},{"id":"review-and-publish-the-answer","title":"Review and publish the answer"},{"id":"search-with-a-different-question","title":"Search with a different question"},{"id":"discover-faqs-for-an-agent","title":"Discover FAQs for an agent"},{"id":"publish-an-updated-answer","title":"Publish an updated answer"},{"id":"clean-up","title":"Clean up"},{"id":"use-python-asynchronously","title":"Use Python asynchronously"},{"id":"next-steps","title":"Next steps"}]}

,
  "codeExamples": [{"codetabsId":"iris_playbook_quickstart-stepplaybook-connect","difficulty":"beginner","id":"playbook-connect","languages":[{"clientId":"iris-python","clientName":"Python (Iris)","id":"Python (Iris)","langId":"python","panelId":"panel_Python (Iris)_iris_playbook_quickstart-stepplaybook-connect"},{"clientId":"iris-cli","clientName":"CLI (Iris)","id":"CLI (Iris)","langId":"bash","panelId":"panel_CLI (Iris)_iris_playbook_quickstart-stepplaybook-connect"},{"clientId":"iris-curl","clientName":"cURL (Iris)","id":"cURL (Iris)","langId":"bash","panelId":"panel_cURL (Iris)_iris_playbook_quickstart-stepplaybook-connect"}]},{"codetabsId":"iris_playbook_quickstart-stepplaybook-quickstart-create","difficulty":"beginner","id":"playbook-quickstart-create","languages":[{"clientId":"iris-python","clientName":"Python (Iris)","id":"Python (Iris)","langId":"python","panelId":"panel_Python 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(Iris)_iris_playbook_quickstart-stepplaybook-quickstart-update"}]},{"codetabsId":"iris_playbook_quickstart-stepplaybook-quickstart-republish","difficulty":"beginner","id":"playbook-quickstart-republish","languages":[{"clientId":"iris-python","clientName":"Python (Iris)","id":"Python (Iris)","langId":"python","panelId":"panel_Python (Iris)_iris_playbook_quickstart-stepplaybook-quickstart-republish"},{"clientId":"iris-cli","clientName":"CLI (Iris)","id":"CLI (Iris)","langId":"bash","panelId":"panel_CLI (Iris)_iris_playbook_quickstart-stepplaybook-quickstart-republish"},{"clientId":"iris-curl","clientName":"cURL (Iris)","id":"cURL (Iris)","langId":"bash","panelId":"panel_cURL (Iris)_iris_playbook_quickstart-stepplaybook-quickstart-republish"}]},{"codetabsId":"iris_playbook_quickstart_delete-stepplaybook-quickstart-delete","difficulty":"beginner","id":"playbook-quickstart-delete","languages":[{"clientId":"iris-python","clientName":"Python (Iris)","id":"Python 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}
```

## Code examples

These examples connect to Iris services using SDKs or HTTP requests with curl. Follow one language throughout each walkthrough.


Use Redis Agent Playbooks to publish a FAQ, retrieve its answer to “Where can I see how my refund is progressing?”, and update the answer agents receive.

## Before you begin

[Create a playbook](https://redis.io/docs/latest/operate/iris/agent-playbook/create-playbook) and wait until it is **Ready**. [Create an authoring key](https://redis.io/docs/latest/operate/iris/agent-playbook/create-playbook#give-an-agent-access) with `write` and `publish` permissions. Both include `read`.

This walkthrough needs no agent framework or model-provider key.

Follow one tab throughout the page. The Python SDK and command-line interface (CLI) require Python 3.11 or later. The cURL and CLI examples use Bash and jq.

## Connect to the playbook

1. For Python or CLI examples, install the unified package:

    ```bash
    python -m venv .venv
    source .venv/bin/activate
    python -m pip install 'redis-iris>=1.0.0'
    ```

1. Copy the **Endpoint** and **Playbook ID** from the console's [Connect dialog](https://redis.io/docs/latest/operate/iris/agent-playbook/create-playbook#give-an-agent-access). Save them with your authoring key in `.env`. Replace the placeholders in this file. Use the endpoint's base address, including `https://`, without the `/iris/data/v1/agent-playbooks/...` path.

    ```dotenv
    IRIS_AGENT_PLAYBOOKS_URL='<data-plane-endpoint>'
    IRIS_AGENT_PLAYBOOKS_PLAYBOOK_ID='<playbook-id>'
    IRIS_AGENT_PLAYBOOKS_API_KEY='<playbook-api-key>'
    ```

1. Load the file in the shell where you run the examples:

    ```bash
    set -a; source .env; set +a
    ```

1. Expand an example to copy the complete program. Save it as `quickstart.py`, `quickstart.cli.sh`, or `quickstart.sh` (cURL), then run `python quickstart.py`, `bash quickstart.cli.sh`, or `bash quickstart.sh`.

Keep `.env` out of source control and keys out of skill files and model prompts. Use [`iris.toml` profiles](https://redis.io/docs/latest/develop/ai/context-engine/sdk-and-cli) for several deployments. All three clients use the authoring key in `.env` for this walkthrough.

`AgentPlaybooks.from_env()` reads the connection values. Its public `.client` property exposes authoring, search, and review operations. The CLI reads the same environment variables and uses `--json` when saving or processing responses.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
from redis_iris.agent_playbooks import AgentPlaybooks

playbook = AgentPlaybooks.from_env()
print(playbook.client.get_playbook_health())
```

##### cURL (Iris)

```bash
set -euo pipefail
PLAYBOOK_API="${IRIS_AGENT_PLAYBOOKS_URL%/}/iris/data/v1/agent-playbooks/playbooks/$IRIS_AGENT_PLAYBOOKS_PLAYBOOK_ID"
curl --fail-with-body --silent --show-error \
  "$PLAYBOOK_API/health" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" | jq .
```

##### CLI (Iris)

```bash
set -euo pipefail

iris agent-playbooks health
```



Keep the printed identifier for cleanup. SDK and cURL examples create another entry when rerun. The CLI uses `refund-status` as a stable entry key: `faqs push` creates missing content, appends changed content, and skips unchanged content. Start with an unused key for this walkthrough. After an uncertain write, inspect entry state before retrying.

## Create an FAQ

Create one answer with a locale and topic for retrieval filters. Save the returned entry identifier and version.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
faq_content = {
    "intents": ["Check a refund", "Find an existing refund"],
    "attributes": {"locale": "en-US", "topic": "refund"},
    "payload": {
        "faq": {
            "question": "How do I check the status of a refund?",
            "answer": (
                "Open the order in your order history and select Refund status. "
                "If no refund is listed, contact support with your order number."
            ),
        }
    },
}
draft = playbook.client.create_faq(content=faq_content)
faq_id = draft.entry.entry_id
version = draft.version.version
print(faq_id, version, draft.entry.publication)
```

##### cURL (Iris)

```bash
cat > faq.json <<'JSON'
{
  "content": {
    "intents": ["Check a refund", "Find an existing refund"],
    "attributes": {"locale": "en-US", "topic": "refund"},
    "payload": {"faq": {
      "question": "How do I check the status of a refund?",
      "answer": "Open the order in your order history and select Refund status. If no refund is listed, contact support with your order number."
    }}
  }
}
JSON
curl --fail-with-body --silent --show-error \
  -X POST "$PLAYBOOK_API/faqs" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' --data-binary @faq.json > draft.json
FAQ_ID=$(jq -er '.entry.entryId' draft.json)
VERSION=$(jq -er '.version.version' draft.json)
jq '{entryId: .entry.entryId, version: .version.version, publication: .entry.publication}' draft.json
```

##### CLI (Iris)

```bash
cat > faq.json <<'JSON'
{
  "entryKey": "refund-status",
  "question": "How do I check the status of a refund?",
  "answer": "Open the order in your order history and select Refund status. If no refund is listed, contact support with your order number.",
  "intents": ["Check a refund", "Find an existing refund"],
  "attributes": {"locale": "en-US", "topic": "refund"}
}
JSON
iris agent-playbooks faqs validate faq.json
iris --json agent-playbooks faqs push faq.json > faq-draft.json
FAQ_ID=$(jq -er '.results[0].entryId' faq-draft.json)
VERSION=$(jq -er '.results[0].version' faq-draft.json)
jq . faq-draft.json
```



The first version is `1`, and `publication` is absent or empty. You can review the entry, but search and discovery cannot return it yet.

The CLI prepares a flat FAQ JSON file and validates it locally before pushing it. Its result is an action report containing the entry identifier and version, rather than the HTTP creation response. `push` leaves the version unpublished unless you request publication.

## Review and publish the answer

Read the exact version you created.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
stored = playbook.client.get_faq_version(faq_id=faq_id, version=version)
print(stored.content)
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  "$PLAYBOOK_API/faqs/$FAQ_ID/versions/$VERSION" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" | jq .content
```

##### CLI (Iris)

```bash
iris --json agent-playbooks faqs show "$FAQ_ID" --version "$VERSION" | jq .content
```



Review the question and answer. Then publish the version you read.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
playbook.client.publish_faq(faq_id=faq_id, version=version)
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  -X PUT "$PLAYBOOK_API/faqs/$FAQ_ID/publication" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data "$(jq -n --argjson version "$VERSION" '{version: $version}')" | jq .publication
```

##### CLI (Iris)

```bash
iris agent-playbooks faqs publish "$FAQ_ID" --version "$VERSION"
```



The publication response identifies the version that agents can retrieve.

## Search with a different question

Search with a paraphrase of the stored question.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
results = playbook.client.search_faqs(
    query="Where can I see how my refund is progressing?",
    filter_={"eq": {"name": "locale", "value": "en-US"}},
    limit=5,
)
for match in results.items:
    if match.faq is not None:
        print(match.entry_id, match.version, match.score, match.faq.answer)
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  -X POST "$PLAYBOOK_API/faqs/search" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{"query":"Where can I see how my refund is progressing?","filter":{"eq":{"name":"locale","value":"en-US"}},"limit":5}' \
  | jq '.items[] | {entryId, version, score, answer: .faq.answer}'
```

##### CLI (Iris)

```bash
cat > search.json <<'JSON'
{
  "query": "Where can I see how my refund is progressing?",
  "filter": {"eq": {"name": "locale", "value": "en-US"}},
  "limit": 5
}
JSON
iris --json agent-playbooks faqs search --input search.json | jq .items
```



Check for your entry identifier, version `1`, and the answer about order history. Scores and rankings vary with the embedding model and other entries. If no match appears, repeat only the search after a short wait, then check the locale filter and [similarity threshold](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/retrieval#control-relevance-and-result-count).

## Discover FAQs for an agent

Discovery returns FAQ answers and skill previews in one request. This example filters for refund guidance to add to the agent's context.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
discovery = playbook.discover(
    "Help a customer find their refund status",
    filter_={"eq": {"name": "topic", "value": "refund"}},
)
print(discovery.as_prompt())
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  -X POST "$PLAYBOOK_API/entries/discover" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{"query":"Help a customer find their refund status","filter":{"eq":{"name":"topic","value":"refund"}},"limit":5}' | jq .
```

##### CLI (Iris)

```bash
cat > discover.json <<'JSON'
{
  "query": "Help a customer find their refund status",
  "filter": {"eq": {"name": "topic", "value": "refund"}},
  "limit": 5
}
JSON
iris --json agent-playbooks discover --input discover.json | jq .
```



With no pins, `pinnedEntries` is empty. Matching published entries appear in `discoveredEntries`. Python exposes these collections as `discovery.pinned` and `discovery.discovered`; `as_prompt()` formats them for agent context. When you add skills later, discovery returns their previews without loading all their instructions.

## Publish an updated answer

Append a complete replacement version to the same entry. Include the attributes and intents you want to retain.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
from copy import deepcopy

updated_content = deepcopy(faq_content)
updated_content["payload"]["faq"]["answer"] += (
    " Support can check the current stage but cannot guarantee a bank posting date."
)
updated = playbook.client.append_faq_version(faq_id=faq_id, content=updated_content)
print("Review this version:", updated.version.version, updated.version.content)
```

##### cURL (Iris)

```bash
jq '.content.payload.faq.answer += " Support can check the current stage but cannot guarantee a bank posting date."' \
  faq.json > faq-update.json
curl --fail-with-body --silent --show-error \
  -X POST "$PLAYBOOK_API/faqs/$FAQ_ID/versions" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' --data-binary @faq-update.json > updated.json
jq .version updated.json
```

##### CLI (Iris)

```bash
jq '.answer += " Support can check the current stage but cannot guarantee a bank posting date."' \
  faq.json > faq-update.json
iris --json agent-playbooks faqs push faq-update.json > faq-updated.json
UPDATED_VERSION=$(jq -er '.results[0].version' faq-updated.json)
iris --json agent-playbooks faqs show "$FAQ_ID" --version "$UPDATED_VERSION" | jq .content
```



The identifier stays the same, and search still serves the first publication. Review and publish the new version, then search again.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
playbook.client.publish_faq(faq_id=faq_id, version=updated.version.version)
updated_results = playbook.client.search_faqs(
    query="Where can I see how my refund is progressing?",
    filter_={"eq": {"name": "locale", "value": "en-US"}},
    limit=5,
)
for match in updated_results.items:
    if match.entry_id == faq_id and match.faq is not None:
        print("Published answer:", match.version, match.faq.answer)
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  -X PUT "$PLAYBOOK_API/faqs/$FAQ_ID/publication" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data "$(jq '{version: .version.version}' updated.json)" | jq .publication
curl --fail-with-body --silent --show-error \
  -X POST "$PLAYBOOK_API/faqs/search" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data '{"query":"Where can I see how my refund is progressing?","filter":{"eq":{"name":"locale","value":"en-US"}},"limit":5}' \
  | jq --arg id "$FAQ_ID" '.items[] | select(.entryId == $id) | {version, answer: .faq.answer}'
```

##### CLI (Iris)

```bash
iris agent-playbooks faqs publish "$FAQ_ID" --version "$UPDATED_VERSION"
iris --json agent-playbooks faqs search --input search.json | jq .items
```



The result for your FAQ should now identify version `2` and include the added sentence about bank posting dates. If it still shows version `1` or is absent, repeat only the search.

## Clean up

Keep the sample published while testing [an agent](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/agent-integration). Complete-program copies retain the FAQ. When you finish, set `PLAYBOOK_FAQ_ID` to the printed entry identifier and run the deletion example with the same connection values. [Withdraw it](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/manage-faqs#withdraw-or-delete-an-faq) instead to retain history.

**Available in:** Python (Iris), cURL (Iris), CLI (Iris)

##### Python (Iris)

```python
playbook.client.delete_faq(faq_id=faq_id)
```

##### cURL (Iris)

```bash
curl --fail-with-body --silent --show-error \
  -X DELETE "$PLAYBOOK_API/faqs/$FAQ_ID" \
  -H "Authorization: Bearer $IRIS_AGENT_PLAYBOOKS_API_KEY"
```

##### CLI (Iris)

```bash
iris agent-playbooks faqs delete "$PLAYBOOK_FAQ_ID" --yes
```



## Use Python asynchronously

Unified Python helpers use names such as `adiscover` and `askill`. Generated operations on `.client` use an `_async` suffix. This standalone example uses `async with` to close connections after the search. Save it as `async_search.py` and run `python async_search.py` with the same environment variables and a reader key. Keep an FAQ published to test matching.

**Available in:** Python (Iris)

##### Python (Iris)

```python
import asyncio
from redis_iris.agent_playbooks import AgentPlaybooks


async def main():
    async with AgentPlaybooks.from_env() as playbook:
        results = await playbook.client.search_faqs_async(
            query="Where can I see how my refund is progressing?",
            limit=5,
        )
        for match in results.items:
            if match.faq is not None:
                print(match.faq.answer)


asyncio.run(main())
```



`AgentPlaybooksSettings.timeout` sets the request timeout in seconds. Generated `.client` operations accept `timeout_ms` in milliseconds. For custom transport settings, construct a generated client and pass it to `AgentPlaybooks(client=...)`. See the [generated client's custom HTTP client documentation](https://pypi.org/project/redis-agent-playbook/#custom-http-client) for ownership and configuration details.

## Next steps

- [Manage FAQs](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/manage-faqs) to roll back or withdraw an answer.
- [Manage skills](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/manage-skills) to publish a procedure and load supporting files.
- [Review proposals](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/proposals) to accept suggested answers before publishing them.
- [Integrate with an agent](https://redis.io/docs/latest/develop/ai/context-engine/agent-playbooks/agent-integration) to retrieve context before a turn and load skills through MCP.