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docs/english/_sidebar.json

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},
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"tools/bolt-python/getting-started",
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{ "type": "html", "value": "<hr>" },
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"tools/bolt-python/building-an-app",
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"tools/bolt-python/developing-an-app",
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{
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"type": "category",
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"label": "Creating agents",
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"label": "Developing agents",
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"link": {
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"type": "doc",
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"id": "tools/bolt-python/concepts/ai-apps"
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"id": "tools/bolt-python/concepts/developing-an-agent"
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"tools/bolt-python/concepts/ai-apps",
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"tools/bolt-python/concepts/developing-an-agent",
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"tools/bolt-python/concepts/assistant-class"
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},

docs/english/concepts/ai-apps.md renamed to docs/english/concepts/developing-an-agent.md

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sidebar_label: Overview
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---
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# Creating agents with Bolt
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# Developing an agent with Bolt
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::tip[Check out the Support Agent sample app]
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The code snippets throughout this guide are from our [Support Agent sample app](https://github.com/slack-samples/bolt-python-support-agent), Casey, which supports integration with Pydantic, Anthropic, and OpenAI. View our [agent quickstart](/ai/agent-quickstart) to get up and running with Casey. Otherwise, read on for exploration and explanation of agent-focused Bolt features found within Casey.
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For a dedicated AI assistant experience with a side panel, see the [Assistant class guide](./assistant-class.md).
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sidebar_label: Building an App
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sidebar_label: Developing an app
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# Building an App with Bolt for Python
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# Developing an app with Bolt for Python
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This guide is meant to walk you through getting up and running with a Slack app using Bolt for Python. Along the way, we’ll create a new Slack app, set up your local environment, and develop an app that listens and responds to messages from a Slack workspace.
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