# Agent Factories Agent Factories are extension-authored, session-scoped workflows that coordinate subagents and durable steps. The API is experimental. ## Define and register a factory Use `defineFactory` and pass the returned handle to `joinSession`: ```js import { defineFactory, joinSession } from "@github/copilot-sdk/extension"; const reviewChanged = defineFactory({ meta: { name: "review-changed", description: "Review changed files and verify the findings. " + "args: { files: string[] } — the paths to review.", phases: [{ title: "Review" }, { title: "Verify" }], limits: { maxConcurrentSubagents: 3, maxTotalSubagents: 10, timeoutSeconds: 90.5, maxAiCredits: 5, }, }, run: async (ctx) => { ctx.phase("Review"); const reviews = await ctx.parallel( ctx.args.files.map( (file) => () => ctx.agent(`Review ${file}`, { label: `Review ${file}` }) ) ); ctx.phase("Verify"); const report = await ctx.step("report", () => ({ reviews })); ctx.log(`Completed factory run ${ctx.runId}`); return report; }, }); const session = await joinSession({ factories: [reviewChanged] }); ``` Factory metadata contains a stable `name`, a human-readable `description`, declared `phases`, and optional `limits`. Phase entries contain a `title` and optional `detail`. There is no declared schema for `ctx.args`. The `run_factory` tool forwards `args` verbatim and its parameter is untyped, so **the `description` is the only thing telling an agent what arguments to supply** — state the expected shape there whenever a factory reads `ctx.args`, as the example above does. Arguments supplied by an extension calling `session.factory.run(...)` directly are typed through `defineFactory`, but that typing does not reach the model. A factory that reads `ctx.args` should validate it rather than assume a shape. `defineFactory` accepts a `run(context)` function returning `Promise`, where `TResult` is `JsonValue | void`. Objects, arrays, strings, numbers, booleans, and `null` are valid results. Returning `undefined` completes the factory with no result. Other non-JSON values are rejected. ## Factory context The `run()` context provides: - `ctx.runId`: Stable ID reused across resumed attempts. - `ctx.args`: Invocation arguments, forwarded verbatim. When the caller omits `args`, this is `{}` rather than `undefined`. - `ctx.agent(prompt, options?)`: Runs one factory-owned subagent. Options are exactly `label`, `schema`, and `model`. See [Subagent calls](#subagent-calls). - `ctx.parallel(thunks)`: Runs thunks concurrently and awaits all of them (a barrier). A thunk that throws becomes `null` in the result array, so one failed item does not lose the rest. Cancellation and hard runtime failures (`ResponseError`, `ConnectionError`) are the exception — those propagate and reject the whole call, because they mean the run itself is in trouble rather than one item having failed. Handle them at run level; do not assume every failure arrives as a `null`. Rejects above 4096 items. - `ctx.pipeline(items, ...stages)`: Flows each item through every stage without a barrier between stages, so one item can be in a later stage while another is still in an earlier one. Each stage is called as `(previous, item, index)`, where `previous` is the prior stage's result and `item` is the original input. A stage that throws drops that item to `null` and skips its remaining stages, with the same exception for cancellation and hard runtime failures. Rejects above 4096 items. - `ctx.phase(title)`: Starts a named progress phase. This sets a single run-global value, so calling it from inside concurrent `parallel`/`pipeline` stages races. Call it at run-level transitions and distinguish concurrent work by `label` instead. - `ctx.log(message)`: Appends a progress line. When a factory bounds its own coverage (top-N, sampling), log what was dropped. - `ctx.step(key, producer, options?)`: Journals the producer's JSON result under a stable key so a resume replays it without re-running the producer. A journaled (default) producer must return a JSON-serializable value; `undefined` or a non-JSON value is rejected. Pass `{ volatile: true }` to bypass the journal and run the producer every time. The key is the *sole* identity: neither the producer body nor its inputs contribute to it. A resume replays the cached value for a matching key even if the producer has since changed, so version the key (`"scan-v2"`) whenever its inputs or meaning change. Journaled producers are best-effort at-least-once and may run again across crashes or concurrent same-key callers, so keep side effects idempotent. - `ctx.session`: The full session returned by `joinSession`. - `ctx.signal`: Cooperative cancellation signal for extension work and subprocesses. - `ctx.factory(...)`: Always rejects because nested factories are not supported. Factory-owned subagents are intentionally hidden from `read_agent` and `write_agent`. Use the factory observability APIs instead. ### Subagent calls `ctx.agent(prompt, options?)` spawns one factory-scoped subagent and awaits it. Without a schema it resolves to the subagent's final text. With `options.schema` it resolves to the parsed JSON value. **Identical calls are memoized into one subagent.** Each call is journaled by its canonical prompt and options, including `label`. Two calls with the same prompt and the same options return one shared result — even when issued concurrently. To spawn N *independent* subagents, give each a unique `label` or vary the prompt: ```js // One subagent, awaited five times — almost certainly not what you want. await ctx.parallel([1, 2, 3, 4, 5].map(() => () => ctx.agent("Find a bug"))); // Five independent subagents. await ctx.parallel( [1, 2, 3, 4, 5].map((i) => () => ctx.agent("Find a bug", { label: `finder:${i}` })) ); ``` **An ordinary failure resolves to `null` — it does not throw.** A subagent that errors, returns nothing, or (with a schema) produces output that still fails to parse or match after its one retry resolves `null`. Always guard the result before using it, including a bare `await ctx.agent(...)`: ```js const finding = await ctx.agent(prompt, { label: "inspector" }); if (!finding) return { finding: null }; ``` Cancellation and hard runtime failures — a reached limit, a durable-state failure — reject instead, aborting the run. When filtering results, prefer `v => v !== null` over `Boolean`, which also discards a valid `false`, `0`, or `""`. **`schema` is a structural subset of JSON Schema, not a validator.** Honored: `type`, `required`, `enum`, `const`, recursive `properties`/`items`, and `anyOf`/`oneOf`/`allOf` — where `oneOf` is treated as `anyOf`, meaning at least one branch matches rather than exactly one. Ignored and *not* enforced: `additionalProperties`, `pattern`, `minLength`/`maxLength`, `format`, numeric ranges, and boolean schemas. Do not rely on an ignored keyword to constrain a result. A schema call retries once on a parse or match failure, so it may spawn twice, and both spawns count toward `maxTotalSubagents`. ### Choosing between pipeline and parallel Prefer `pipeline` for multi-stage work. It has no barrier between stages, so each item advances as soon as its own prior stage finishes. Reach for a barrier — `parallel` between stages — only when a stage genuinely needs every prior result at once: deduplicating or merging across the full set, an early exit based on the total, or a prompt that compares one result against the others. Needing to map, filter, or flatten is not a reason to use a barrier; do that inside a pipeline stage. Barrier latency is real: if the slowest of N subagents takes three times the fastest, a barrier wastes the rest of the pool's time. See [factory-patterns.md](./factory-patterns.md) for composable orchestration patterns built on these primitives. ## Resource limits Limits may be declared in `meta.limits` and overridden per invocation. All limits must be positive when present. - `maxConcurrentSubagents`: Positive integer concurrent-subagent cap. Additional subagents wait in a queue. Queueing applies backpressure and does not fail the run. - `maxTotalSubagents`: Positive integer cumulative admission cap. An attempted subagent beyond the cap ends the attempt with failure kind `maxTotalSubagents`. - `timeoutSeconds`: Positive finite number of seconds, including positive fractions, capped at `2_147_483.647`. It measures accumulated active-execution time across attempts, including the extension body, subprocess waits, queued-agent waits, and sleeps. Time between attempts is excluded. The timeout is soft because already-running work may take time to stop. Its failure kind is `timeoutSeconds`. - `maxAiCredits`: Positive finite AI-credit budget for the whole run's factory subagent subtree, including descendants. AI credits are GitHub Copilot's universal usage metric. This is a soft, post-paid ceiling, so completed or parallel turns can settle above it before the run stops. Accounting is fail-closed: an accounting failure stops a budgeted run rather than allowing untracked use. Its failure kind is `maxAiCredits`. `maxTotalSubagents`, `timeoutSeconds`, and `maxAiCredits` use reject-and-retry semantics. A rejected attempt ends with run status `error` and `failure.type` set to `factory_limit_reached`. The failed run keeps its ID, arguments, journal, and accounting. Resume the run with a raised limit when additional work is approved. Previously consumed resources still count. ## Run and resume Run by registered name or handle: ```ts const run = await session.factory.run("review-changed", { args: { files: ["src/a.ts"] }, limits: { maxAiCredits: 3 }, }); if (run.status === "completed") { console.log(run.result); } else { console.error(`run ${run.runId} ended as ${run.status}`, run.failure ?? run.error); } ``` The name overload is: ```ts session.factory.run( name: string, options?: { args?: JsonValue; limits?: FactoryLimits }, ): Promise; ``` Resume by run ID without resending the name or arguments: ```ts const run = await session.factory.resume(runId, { limits: { maxAiCredits: 6 }, }); ``` The signature is: ```ts session.factory.resume( runId: string, options?: { limits?: FactoryLimits }, ): Promise; ``` Both resolve with the run envelope (`FactoryRunResult`) for **every** outcome — `completed`, `error`, `halted`, and `cancelled` alike. Inspect `status` and read `result` only when the run completed; a limit breach carries a typed `failure`. A declined fresh run is not a pre-execution failure: the run row already exists by the time the prompt is answered, so it resolves with a terminal `cancelled` envelope carrying the run ID. Only failures that occur *before* a run exists reject: an unknown factory name or an already-active session. Pre-execution resume failures, including a declined reapproval, throw `FactoryResumeError`, whose `code` is one of `not_found`, `non_resumable`, `already_active`, `reapproval_declined`, or `no_approval_provider`. An agent that no longer has a prior run's ID in context can recover it with `factories_manage` and `operation: "runs"`, which lists the session's factory runs with their IDs and statuses. This matters for resume: a run that reached a limit keeps its journal, so resuming it replays completed work for free, while restarting it from scratch pays for that work twice. The agent-facing `run_factory` tool has exactly two input branches: ```ts { name: string; args?: JsonValue; limits?: FactoryLimits } { resumeFromRunId: string; limits?: FactoryLimits } ``` ## Authoring a factory from inside a session The agent-facing `factories_manage` tool writes a factory into a session-scoped extension at runtime with `operation: "author"`. The rules above all apply, plus one constraint that does not affect an extension author. **The `run` body is self-contained.** It is emitted verbatim into a generated module as a single async function expression. It closes over nothing: not the conversation that authored it, and not any authoring-time binding. Only its own locals, its `ctx` parameter, and standard Node and JavaScript globals are in scope, so every schema, constant, and helper must be defined *inside* the function. The generated module imports the SDK itself; the expression cannot add static `import` statements or use `require`. Load anything else with a dynamic `await import("...")` in the body. ```js async ({ args, agent, phase }) => { // Defined inside — there is no outer scope to close over. const VERDICT = { type: "object", properties: { real: { type: "boolean" } }, required: ["real"] }; phase("Inspect"); const finding = await agent(`Name one likely bug in ${args.file ?? "the code"}.`, { label: "inspector", }); if (!finding) return { finding: null, real: false }; phase("Verify"); const verdict = await agent(`Is this a real bug? Claim: ${finding}`, { label: "verifier", schema: VERDICT, }); return { finding, real: verdict?.real === true }; }; ``` Authoring registers the factory but does not run it. Invoke it afterwards with `run_factory`. Use `factories_manage` with `operation: "list"` to see the factories already registered in the session and `operation: "inspect"` to read one factory's description, phases, and limits before running it. ## Observe a run The calling session can inspect its own factory runs: ```ts const runs = await session.factory.listRuns(); const detail = await session.factory.getRunDetail(runId); const page = await session.factory.getRunProgress(runId, { phaseId, afterSeq, beforeSeq, limit, }); ``` - `listRuns()` returns summaries in durable creation order. - `getRunDetail(runId)` returns phases, prompt-safe agent summaries, and the latest progress page. - `getRunProgress(runId, options?)` pages progress forward, backward, by phase, or from the latest tail. `getRun(runId)` reads the latest run envelope, and `cancel(runId)` cancels a run and returns its terminal envelope. `waitForRun(runId, options?)` resolves with the terminal envelope once the run settles into `completed`, `error`, `halted`, or `cancelled`, and resolves immediately when it has already settled: ```ts const settled = await session.factory.waitForRun(runId); if (settled.status === "completed") { console.log(settled.result); } ``` It watches `factory.run_updated` and re-reads the durable envelope on each invalidation, collapsing a burst of events into a single in-flight read. A low-frequency periodic re-read runs alongside the subscription, so a dropped or missing invalidation degrades into a slightly late resolution rather than an unbounded wait. Pass a `signal` to stop waiting: ```ts const controller = new AbortController(); setTimeout(() => controller.abort(), 30_000); const settled = await session.factory.waitForRun(runId, { signal: controller.signal }); ``` Aborting rejects the wait and has no effect on the run, which keeps executing — use `cancel(runId)` to actually stop it. Because a terminal envelope is final, the resolved value never changes afterwards. `isFactoryRunTerminal(status)` exposes the same terminal-status test for callers driving their own loop. Listen for the ephemeral `factory.run_updated` event. Its `{ runId, revision }` payload is an invalidation signal. Re-read the desired API when a newer monotonic revision arrives. Revisions cover durable lifecycle, accounting, phase, agent, and progress changes. Continuous read-time fields can change without a new revision. These include `observedAt`, active-time calculations, live counts, and a live agent's status or prompt-safe activity text. Factory prompts are never exposed by these APIs. A run is visible only through the session that owns it.