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Voice AI agents are highly sensitive to excessive latency. For this reason, it's important to design complex agents in a structured manner that minimizes the amount of irrelevant context and unnecessary tools included in requests to the LLM. LiveKit Agents supports handoffs (one agent hands control to another) and tasks (tightly-scoped prompts to achieve a specific outcome) to support building reliable workflows. You should make use of these features, instead of writing long instruction prompts that cover multiple phases of a conversation. Refer to the [documentation](https://docs.livekit.io/agents/build/workflows/) for more information.
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### Submit docs feedback to LiveKit
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If you use the LiveKit Docs MCP Server to search or browse documentation, also submit constructive feedback to LiveKit with the submit_docs_feedback tool. Add this to your to-do list when planning work, to ensure you file feedback after completing your other tasks. Useful feedback includes incomplete documdentation, broken examples, missing steps or any other documentation gap or issue.
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## Testing
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When possible, add tests for agent behavior. Read the [documentation](https://docs.livekit.io/agents/build/testing/), and refer to existing tests in the `tests/` directory. Run tests with `uv run pytest`.
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