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Pydantic Ai Model Integration
作者
Kevin Anderson
· GitHub ↗
· v1.0.1
· MIT-0
170
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当前安装
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版本数
在 OpenClaw 中安装
/install pydantic-ai-model-integration
功能描述
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience,...
安全使用建议
This skill is a docs/example-only integration guide for PydanticAI and is internally consistent. It does not require any credentials or install steps, but examples show how to supply API keys or custom endpoints — do not paste production API keys into sample code or public repos. Before using in production, confirm you trust the underlying pydantic_ai library (install source and package integrity), store keys in a secret manager or environment variables rather than inlined strings, and be cautious when setting custom base_url/proxy endpoints because they can route requests (and sensitive prompts) outside your usual provider. If you need higher assurance, ask the author/source for provenance (package repo or homepage) before adopting.
功能分析
Type: OpenClaw Skill
Name: pydantic-ai-model-integration
Version: 1.0.1
The skill bundle provides documentation and code examples for integrating various LLM providers using the PydanticAI library. The content in SKILL.md consists of standard usage patterns for model configuration, fallback mechanisms, and streaming, with no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力标签
能力评估
Purpose & Capability
The name/description (model selection, fallback, streaming, settings) matches the SKILL.md content: examples show provider model strings, model settings, fallback chaining, streaming, usage limits, and provider-specific options. No unrelated capabilities (cloud admin, system-level access, etc.) are requested.
Instruction Scope
SKILL.md contains only code examples and runtime guidance for PydanticAI operations (model selection, streaming, fallback, usage tracking). It does reference reading environment variables (os.getenv) and using API keys in examples, but it does not instruct reading arbitrary host files, scanning system state, or transmitting data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to write or execute on install, so there is no install-time risk.
Credentials
The skill declares no required environment variables, which is consistent with being documentation/examples only. SKILL.md shows common env var names (OPENAI_API_KEY, ANTHROPIC_API_KEY, PYDANTIC_AI_MODEL) and passing api_key values inline for examples — those are expected for model integrations but are only illustrative. Users should not commit real keys into code samples.
Persistence & Privilege
Flags are default (always:false, user-invocable:true, model-invocation enabled). The skill does not request permanent presence or modify system/other-skill configuration.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pydantic-ai-model-integration - 安装完成后，直接呼叫该 Skill 的名称或使用
/pydantic-ai-model-integration触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
- Documentation updated: new “Check gates before ship” section added to SKILL.md.
- Details best practices for fallback order and secret management.
- No code or behavior changes; documentation only.
v1.0.0
- Initial release of pydantic-ai-model-integration.
- Supports configuring LLM providers and model strings for OpenAI, Anthropic, Google, Mistral, Groq, and more.
- Enables model fallback mechanisms for improved reliability.
- Allows detailed model settings, including temperature, max tokens, and timeouts.
- Offers streaming and structured streaming output with Pydantic models.
- Includes usage tracking, usage limits, and provider-specific configuration.
- Supports dynamic and deferred model selection and validation.
元数据
常见问题
Pydantic Ai Model Integration 是什么？
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 170 次。
如何安装 Pydantic Ai Model Integration？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pydantic-ai-model-integration」即可一键安装，无需额外配置。
Pydantic Ai Model Integration 是免费的吗？
是的，Pydantic Ai Model Integration 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pydantic Ai Model Integration 支持哪些平台？
Pydantic Ai Model Integration 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Pydantic Ai Model Integration？
由 Kevin Anderson（@anderskev）开发并维护，当前版本 v1.0.1。
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