langchain-model-inference
Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code. Use when initializing chat models, routing across providers, iterating AIMessage content, or choosing a structured-output method. Trigger with "langchain model inference", "ChatAnthropic", "ChatOpenAI", "with_structured_output", "AIMessage content blocks", "langchain routing". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-model-inference --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Model Inference (Python) ## Overview `AIMessage.content` is a `str` on simple OpenAI calls and a `list[dict]` on Claude the instant any `tool_use`, `thinking`, or `image` block enters the response. Code that does `message.content.lower()` crashes with `AttributeError: 'list' object has no attribute 'lower'` — the #1 first-production-call LangChain 1.0 bug on Anthropic. And that is one
What does the langchain-model-inference skill do?
Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code. Use when initializing chat models, routing across providers, iterating AIMessage content, or choosing a structured-output method. Trigger with "langchain model inference", "ChatAnthropic", "ChatOpenAI", "with_structured_output", "AIMessage content blocks", "langchain routing". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-model-inference --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.