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docs/OpenManus/06_schema.md

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# Chapter 6: Schema - The Official Data Forms
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In [Chapter 5: BaseFlow](05_baseflow.md), we saw how Flows act like project managers, coordinating different [Agents](03_baseagent.md) and [Tools](04_tool___toolcollection.md) to complete complex tasks. But for all these different parts (Flows, Agents, LLMs, Tools) to work together smoothly, they need to speak the same language and use the same formats when exchanging information.

docs/OpenManus/07_configuration__config_.md

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# Chapter 7: Configuration (Config)
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Welcome to Chapter 7! In [Chapter 6: Schema](06_schema.md), we learned how OpenManus uses schemas to define the structure of data passed between different components, like official forms ensuring everyone fills them out correctly.

docs/OpenManus/08_dockersandbox.md

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# Chapter 8: DockerSandbox - A Safe Play Area for Code
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Welcome to Chapter 8! In [Chapter 7: Configuration (Config)](07_configuration__config_.md), we learned how OpenManus manages settings using the `config.toml` file and the `Config` object. We saw settings for the [LLM](01_llm.md), search tools, and something called `[sandbox]`. Now, let's dive into what that sandbox is!

docs/OpenManus/09_mcp__model_context_protocol_.md

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# Chapter 9: MCP (Model Context Protocol)
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Welcome to the final chapter of our core concepts tutorial! In [Chapter 8: DockerSandbox](08_dockersandbox.md), we saw how OpenManus can safely run code in an isolated environment. Now, let's explore a powerful way to extend your agent's capabilities *without* changing its internal code: the **Model Context Protocol (MCP)**.

docs/Pydantic Core/01_basemodel.md

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# Chapter 1: BaseModel - Your Data Blueprint
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Welcome to the Pydantic tutorial! We're excited to guide you through the powerful features of Pydantic, starting with the absolute core concept: `BaseModel`.

docs/Pydantic Core/02_fields__fieldinfo___field_function_.md

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# Chapter 2: Customizing Your Blueprint's Rooms - Fields
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In [Chapter 1: BaseModel - Your Data Blueprint](01_basemodel.md), we learned how `BaseModel` acts like a blueprint for our data, defining the expected structure and types using simple Python type hints. We saw how Pydantic uses this blueprint to parse, validate, and serialize data.

docs/Pydantic Core/03_configuration__configdict___configwrapper_.md

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# Chapter 3: Configuring Your Blueprint - Model Settings
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In [Chapter 1](01_basemodel.md), we learned about `BaseModel` as our data blueprint, and in [Chapter 2](02_fields__fieldinfo___field_function_.md), we saw how `Field()` lets us add specific notes (like defaults or aliases) to individual rooms (fields) on that blueprint.

docs/Pydantic Core/04_custom_logic__decorators___annotated_helpers_.md

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# Chapter 4: Custom Logic (Decorators & Annotated Helpers)
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In [Chapter 3: Configuration (ConfigDict / ConfigWrapper)](03_configuration__configdict___configwrapper_.md), we learned how to set global rules for our data blueprints using `model_config`. But what if we need more specific, custom rules or transformations that go beyond simple settings?

docs/Pydantic Core/05_core_schema___validation_serialization.md

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# Chapter 5: Core Schema & Validation/Serialization
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In the previous chapters, we've seen how to define data structures using [BaseModel](01_basemodel.md), customize fields with [Field()](02_fields__fieldinfo___field_function_.md), set model-wide behavior with [Configuration](03_configuration__configdict___configwrapper_.md), and even add [Custom Logic](04_custom_logic__decorators___annotated_helpers_.md) using decorators. You might be wondering: how does Pydantic take all these Python definitions and use them to perform such fast and reliable validation and serialization?

docs/Pydantic Core/06_typeadapter.md

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# Chapter 6: TypeAdapter - Your Universal Data Handler
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Welcome to the final chapter of our Pydantic Core tutorial! In [Chapter 5: Core Schema & Validation/Serialization](05_core_schema___validation_serialization.md), we dove deep into how Pydantic uses the `CoreSchema` and the `pydantic-core` engine to efficiently validate and serialize data for your `BaseModel` classes.

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