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Timbal

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llms.txt
https://docs.timbal.ai/llms.txt
llms-full.txt
https://docs.timbal.ai/llms-full.txt
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2024-05-04
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Spain Site-published organization address
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ES · Site-published organization address 2026-10-26
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AI and machine learning · Developer tools
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-25T18:55:03.102Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T18:55:03.198Z. Cached copy · Source on timbal.ai

# Timbal

- [Introduction](https://docs.timbal.ai/index.md): Simple, performant, battle-tested framework for building reliable AI applications
- [Installation](https://docs.timbal.ai/installation.md): Step-by-step instructions for setting up Timbal CLI and Python package
- [Quickstart](https://docs.timbal.ai/quickstart.md): Build your first AI Agent with Timbal in a few lines of code
- [Runnables](https://docs.timbal.ai/core-concepts/runnables.md): Executable primitives that provide consistent interfaces for all Timbal components
- [Events & Streaming](https://docs.timbal.ai/core-concepts/events.md): Monitor execution in real-time and handle streaming results
- [Tracing & Observability](https://docs.timbal.ai/core-concepts/tracing.md): Comprehensive execution tracing with input/output/error/timing capture for complete observability
- [Context & State Management](https://docs.timbal.ai/core-concepts/context.md): The shared memory that connects everything together across the entire lifetime of a run
- [Overview](https://docs.timbal.ai/agents/index.md): Master proven strategies for designing advanced, specialized AI agents using an architecture that work together seamlessly to tackle complex challenges
- [Adding Tools](https://docs.timbal.ai/agents/tools.md): Give your agents the ability to interact with the outside world through automatic schema generation, parameter validation, and concurrent execution
- [MCP Servers](https://docs.timbal.ai/agents/mcp.md): Connect any Model Context Protocol server to your agents and use its tools like native Timbal tools
- [Structured Output](https://docs.timbal.ai/agents/structured-output.md): Use Pydantic models to structure and validate your agent outputs
- [Memory](https://docs.timbal.ai/agents/memory.md): Understand and manage how Agent memory works
- [Memory Compaction](https://docs.timbal.ai/agents/memory-compaction.md): Keep agent memory within context window limits with tool result offloading and built-in compaction strategies
- [Guardrails](https://docs.timbal.ai/agents/guardrails.md): Content policy for the four edges of an agent run: input, model output, tool args, and tool results
- [Skills](https://docs.timbal.ai/agents/skills.md): Extend Agent capabilities through dynamic discovery of knowledge and tools
- [Dynamic Agents](https://docs.timbal.ai/agents/dynamic.md): Learn how to create agents with dynamic system prompts that update automatically using real time data
- [Background Tasks](https://docs.timbal.ai/agents/background-tasks.md): Execute long-running operations asynchronously
- [Commands](https://docs.timbal.ai/agents/commands.md): Invoke tools, agents, and workflows directly with slash commands — no LLM round-trip
- [Voice Agents](https://docs.timbal.ai/voice/index.md): Build live spoken conversations with streaming transcription, agents, tools, and speech output
- [Your First Voice Agent](https://docs.timbal.ai/voice/quickstart.md): Run a live voice agent locally and talk to it in the brows
…

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