langchain-typescript-quickstart

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha a78b2e2257e3 · 31 Oct 2026Report an issue or request a re-scan

• Publisherlangchain-ai GitHub organizationOwner of the repository this skill is read from
• Source folderlangchain-ai/langchain-skills/config/skills/langchain-typescript-quickstartThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdicta78b2e2257e3A new audit runs when the source changes
• Repository statusNot archivedLast push 1 day ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

---
name: langchain-typescript-quickstart
description: "Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally."
---

# LangChain TypeScript quickstart

Follow the live docs — do not invent an alternate API from memory:

**https://docs.langchain.com/oss/javascript/langchain/quickstart**

Fetch that page (Docs MCP or HTTP) and implement what it shows (weather agent + `createAgent`). Requires Node 22+.

## Local setup constraints

Apply these on top of the quickstart (they keep setup minimal and model-agnostic):

1. **Ask** which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt:

   > Which model should this agent use? Pass a `provider:model` string — e.g. `openai:gpt-5.5`, `anthropic:claude-sonnet-5`, `google-genai:gemini-2.5-flash-lite`. Default if you're unsure: **`anthropic:claude-sonnet-5`**.

   Swap the quickstart's model string for their choice (or the default).

2. Create a **new** directory (e.g. `langchain-agent/`) and do all work there — do not pollute the open project.

3. Only secret: the provider API key in `.env` (gitignored). No LangSmith / Tavily unless they ask. Prefer they edit `.env` themselves — don't paste keys into chat.

4. Install the provider package needed for their model if the quickstart's base install isn't enough.

5. Run the example, show output, then stop. Point to `langchain-fundamentals` for next steps.

Excerpt, first 1,504 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/langchain-ai/langchain-skills
git -C langchain-skills checkout a78b2e2257e3

Works in

1. 2026-10-31
   ✓SAFE B 89 / 100

   first audit · source a78b2e2257e3

Questions about langchain-typescript-quickstart

• github.com/langchain-ai/langchain-skills/tree/main/config/skills — the audited source at commit a78b2e2257e3 and every finding aboveObserved · 31 Oct 2026

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