SuperAPI AI Directory
Partner with us中文AI newsFavorites
Skillslanggraph-adk

langgraph-adk

Coding & development

View repository

Updated 10-16 04:57

About this skill

LangGraph ADK — Architect & Scaffold

You architect and scaffold action-oriented LangGraph CLIs (Bun + TypeScript). An "action" is a menu entry the end-user picks at runtime. You decide two independent axes per action: its type (a plain async function or a LangGraph agent) and its turn shape (single-turn one-shot, multi-turn interactive session, or both).

ALWAYS verify the API with context7 first

Before writing ANY LangChain/LangGraph code, query context7 for the current API. The JS API drifts (e.g. createReactAgent → createAgent). Never write agent code from memory. Resolve /websites/langchain_oss_javascript_langgraph (or @langchain/langgraph, @langchain/openai) and confirm signatures you will emit.

Step 1 — Detect the mode

Check the target directory for src/actions/index.ts:

  • Absent → Scaffold-new (Step 2A)
  • Present → Add-action (Step 2B)

Exception — cross-cutting upgrades are NOT actions. If the user asks to add observability / tracing / LangSmith (e.g. "add LangSmith", "trace my agent runs", "why did the agent do X — I need visibility"), follow references/langsmith-observability.md instead — no architect interview.

Step 2A — Scaffold-new

  1. Ask for the project directory name if not given.
  2. Copy templates/ into the target: src/, tsconfig.json, bunfig.toml, .env.example. Render package.json.tmpl → package.json, replacing {{PROJECT_NAME}}.
  3. From the target dir, run: bun add langchain @langchain/langgraph @langchain/openai @langchain/anthropic @langchain/core zod minimist chalk ink react @inkjs/ui ink-text-input ink-spinner and bun add -d typescript bun-types @types/minimist @types/react ink-testing-library (this also pins the * versions in package.json).
  4. Confirm it runs: bun run start --list (should list chat).
  5. Tell the user how to configure .env and run bun run start.
  6. Then proceed to Step 3 to add their first real action (one run = one action).

Step 2B — Add-action

Run the architect interview (Step 3) and append exactly one action.

Step 3 — Architect ONE action

Known recipe — AWS + repo chat assistant: if the scenario is "drive the AWS CLI / manage AWS in natural language" or "merge aws-assistant into chat", follow references/chat-aws-repo.md. Its Step 0 is mandatory: ask the user which AWS profile + region the assistant runs as before generating anything — the safety model pins every command to one account. Default to merging AWS into the primary chat action and adding the repo bash tool unless the user explicitly asks for a separate action.

  1. Understand the scenario. Ask what the action should do, its inputs, and its output. Keep it to one action; if the scenario is really several, say so and recommend splitting (the user re-runs per action).

  2. Pick the type:

    • Function — deterministic logic or a single model call → use action.function.ts.tmpl.
    • Agent — needs tools, multi-step reasoning, or orchestration → continue.

  3. Pick the turn shape. Ask the user and present it as a single-select choice (an Ink selectMenu — offer these three options):

    • single-turn (one-shot) — one request in → one answer out → exits. The default; keeps nothing between runs.
    • multi-turn (interactive session / REPL) — render the Ink <SessionApp> (src/ink/SessionApp.tsx): a pinned footer with a ccstatusline-style Model: line above a usage bar (vs the model's real ctx.contextWindow, resolved by src/model-info.ts from the provider's /models endpoint with a MODEL_CONTEXT_TOKENS env fallback), history trimming, and quit on Ctrl+C or /exit. Pass respond(messages, { onStep, ask }) for one turn — ask is the human-in-the-loop seam. The action file is .tsx. Copy the seed src/actions/chat.tsx; pure helpers live in src/session-core.ts.
    • both — run one-shot when the input is supplied via flags (e.g. --input ...), otherwise render the <SessionApp>; or offer an Ink selectMenu ("Run once" vs "Start a session") at startup. Worked example: reference/src/actions/assistant.tsx (params: [], branch on --input; one-shot prints, else renders <SessionApp>).

    Turn shape is orthogonal to type: a Function or an Agent can be single- or multi-turn. For a multi-turn agent, each turn streams through streamAgent inside the session's respond callback.

  4. Compose the graph from primitives (see references/primitives.md). There is NO fixed catalog — reason from the scenario to the smallest graph that fits (single agent, sequential, parallel, loop-and-critic, coordinator/routing, orchestrator-worker, map-reduce, agent-as-tool, or a custom mix).

  5. Render an ASCII diagram of the concrete graph (nodes + edges) and explain why this shape fits. Example:

       +-----------+
   |  drafter  |<-------------+
   +-----+-----+              |
         v                    | revise (not good enough)
   +-----------+              |
   |  critic   |--------------+
   +-----+-----+
         | approved
         v
       [done]

    Wait for the user to accept or request changes. Loop until accepted.

  6. Verify the API via context7 for every construct you will emit (createAgent, StateGraph, addConditionalEdges, Send, Command, reducers, tool, streaming).

  7. Generate the action file from action.function.ts.tmpl or action.agent.ts.tmpl into src/actions/<name>.ts (or .tsx if it renders Ink), replacing the {{...}} markers. Agent actions stream node/tool steps via streamAgent(graph, input, onStep) from ../trace (print with chalk, or feed onStep to the Ink session). Tools that report progress are authored as async function* so on_tool_event fires. Multi-turn (or both) actions are .tsx and render <SessionApp>.

  8. Register it. Add an import and append to the actions array in src/actions/index.ts.

  9. Validate every file write. After creating or updating any file, immediately verify the filesystem state before moving on: use test -f <path> for new files, git diff -- <path> for updates, and re-read the relevant lines with sed/rg/nl to confirm the intended content is present. Never assume a write succeeded just because a tool call was attempted.

  10. Verify: bun run typecheck then bun run start --action <name> ....

  11. Gate completion with a Codex review (MANDATORY). Implementation is NOT done until the diff has been reviewed by Codex. Capture the pre-work commit first (git rev-parse --short HEAD BEFORE you start editing), then after verification passes, emit this exact copy-paste line for the user (substitute the captured SHA) and stop — do not declare the work complete until the review is run:

    /codex:review --base=<short-sha> --wait

    <short-sha> is the short commit SHA the work started from (the review diffs everything since that commit). Address any review findings, then re-emit the line if you make further changes.

Conventions you MUST keep

  • The UI runtime is Ink (React for the terminal) — no inquirer, no ora. Prompts come from src/ui.tsx (selectMenu, askText, askConfirm); wrap slow work in withSpinner. ctx.log is still chalk for plain colored output.
  • Parameters are declarative ParamDef[]. minimist flags fill them; resolveParams Ink-prompts only for what is missing. Never hand-roll prompt plumbing in an action.
  • The "Choose an action" menu (selectAction in src/params.ts) pads each action name to the longest name's width (padEnd) before the — so descriptions line up in a column. Keep that alignment when editing the menu label.
  • The Ctx gives every action { llm, log (chalk), getDocs, contextWindow, model }.
  • Agent runs stream node/tool steps via streamAgent (from src/trace.ts).
  • Agent/chat actions that build a custom system prompt MUST load repository guidance from the project root AGENTS.md when present. Add a small loadRepoInstructions(cwd = process.cwd()) helper that returns trimmed content or undefined, then append it to the system prompt in a fenced md block before the current date/time. Test present, missing, and blank AGENTS.md cases so scaffolded agents actually follow repository rules at runtime.
  • Mandatory status footer: any action that calls the LLM MUST surface the working dir, model id, and context usage. Multi-turn renders a Claude Code-style <SessionApp> footer — the input framed above/below by a divider, then Dir: / Model: / context bar; one-shot calls printContextBar(ctx.log, ctx.contextWindow, messages, ctx.model) (from src/session-core.ts). The prompt label is ctx.promptLabel (the PROMPT_LABEL env, default you). The action templates include all of this by default.
  • Turn shape: single-turn actions return after one run; multi-turn actions are .tsx and render the Ink <SessionApp> (pinned context footer; bar shows usage vs the real ctx.contextWindow). Pure helpers live in src/session-core.ts; chat is the reference multi-turn action.
  • Keep each file focused; one action per file. Actions that render Ink are .tsx.
  • After any create/update operation, validate the file on disk with a targeted existence check, diff, or read-back before claiming the change is done.
  • Codex review gates completion: never call the implementation done until a Codex review of the diff has run. After verification, emit the copy-paste line /codex:review --base=<short-sha> --wait (with the pre-work short SHA) and wait.

Templates

  • templates/ — verbatim skeleton (do not regenerate from memory). Core: src/ui.tsx (Ink prompts + spinner), src/session-core.ts (pure session helpers), src/ink/SessionApp.tsx (pinned-footer chat UI), src/trace.ts (streamAgent), src/model-info.ts (context window).
  • templates/src/actions/chat.tsx — seed action and reference multi-turn Ink session.
  • action.function.ts.tmpl / action.agent.ts.tmpl — action bodies you fill in (rename to .tsx when rendering Ink).
  • references/primitives.md — LangGraph building blocks to compose from.
  • references/chat-aws-repo.md — recipe for merging AWS CLI + repo bash tools into the primary chat action with human-approved AWS writes and bash deletes. When the user asks for an AWS assistant, follow it — and ask for the AWS profile/region FIRST.
  • references/langsmith-observability.md — recipe for enabling LangSmith tracing on an existing project (env-var driven; no new deps). Ask the privacy question FIRST — traces ship full prompts and tool outputs to LangSmith's cloud.