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local-agent-model-defaults

Use when creating or modifying AI agent projects and choosing a model, API key, OpenAI-compatible base URL, LiteLLM endpoint, or related environment variables.

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仓库
ydf0509/lc-agent
最近来源活动
2026年9月7日 11:02
检测到的 SKILL.md 语言
英语
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6
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2

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默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

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决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

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SKILL.md
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name
local-agent-model-defaults
description
Use when creating or modifying AI agent projects and choosing a model, API key, OpenAI-compatible base URL, LiteLLM endpoint, or related environment variables.
# Local Agent Model Defaults Use these personal defaults for AI agent projects unless the user or the project explicitly specifies another provider, model, API key, or endpoint. ## Local LiteLLM Defaults Prefer the local OpenAI-compatible LiteLLM proxy on port `4000`: ```dotenv OPENAI_API_KEY=sk-no-key-needed OPENAI_BASE_URL=http://localhost:4000/v1 OPENAI_MODEL=ds-deepseek-v4-flash ``` The OpenAI-compatible client uses `http://localhost:4000/v1` as its base URL and sends chat requests to `/chat/completions`. The local proxy does not require a real provider API key, so `sk-no-key-needed` is the intended placeholder. In lc-agent's `config.jsonc`, the same model name goes into BOTH required fields of a model entry: `model_id` (your own globally-unique name — identity, stats, display) and `raw_model_id` (the channel-provided original model name — pricing fallback + stats merging). Under this LiteLLM proxy both values are identical, e.g. `{"model_id": "ds-deepseek-v4-flash", "raw_model_id": "ds-deepseek-v4-flash"}`. Missing fields or uniqueness conflicts (`model_id` global-unique; `(provider, raw_model_id)` unique) fail at startup with a full problem list. ## Decision Rules 1. Use the local LiteLLM values above when an AI agent implementation needs model configuration and no explicit alternative is requested. 2. Preserve an explicit model, provider, base URL, or secret supplied by the user or already required by the project. 3. Never invent or request a real external API key when the local LiteLLM proxy is the intended backend. 4. Keep secrets out of source control; use environment variables or the project's existing configuration mechanism. ## Example For a new OpenAI-compatible agent configuration, use: ```python from langchain_openai import ChatOpenAI model = ChatOpenAI( model="ds-deepseek-v4-flash", api_key="sk-no-key-needed", base_url="http://localhost:4000/v1", ) ```
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