refactor!: remove deprecated Agent types, introduce Adapter-first API

BREAKING CHANGES:
- Remove AgentFn, AgentFnResult, AgentBinding from workflow-protocol
- Remove wrapAgentAsAdapter from workflow-util-agent
- workflowAsAgent → workflowAdapter (old name kept as deprecated re-export)

New APIs:
- createTextAdapter(producer) — bridges text-producing functions to AdapterFn
- TextProducerFn, TextAdapterResult types
- workflowAdapter() — direct AdapterFn for child workflow delegation

All agent packages (cursor, hermes, llm) now return AdapterFn directly,
no wrapping needed. Bundle entries simplified accordingly.

小橘 🍊(NEKO Team)
This commit is contained in:
2026-05-13 08:03:27 +00:00
parent 399b967c59
commit cfe4543d39
22 changed files with 319 additions and 252 deletions
@@ -91,7 +91,7 @@ describe("init workspace", () => {
"RoleDefinition",
"WorkflowDefinition",
"ModeratorTable",
"AgentFn",
"AdapterFn",
"ExtractFn",
"RoleMeta",
]) {
@@ -90,7 +90,7 @@ function agentsMd(): string {
|------|----------------|------|
| **Workspace** | 仓库根(\`package.json\`\`workspaces: ["templates/*", "workflows"]\`) | Bun monorepo:统一管理本地模板包与 workflow 实例 |
| **Template** | \`templates/<name>/\`(如 \`src/roles.ts\`\`src/moderator.ts\`\`src/index.ts\`) | 纯数据:**WorkflowDefinition**(各 **RoleDefinition** + **ModeratorTable**),**不绑定**具体 Agent |
| **Workflow instance** | \`workflows/\`(或单独包) | 把模板与运行时 **AgentFn** / **ExtractFn** 组合,产出可注册的 **单文件 ESM bundle**(\`run\` + \`descriptor\` 命名导出) |
| **Workflow instance** | \`workflows/\`(或单独包) | 把模板与运行时 **AdapterFn** / **ExtractFn** 组合,产出可注册的 **单文件 ESM bundle**(\`run\` + \`descriptor\` 命名导出) |
Init 生成的骨架:\`templates/\` 下放可复用定义,\`workflows/\` 下放绑定与打包入口。
@@ -100,10 +100,10 @@ Init 生成的骨架:\`templates/\` 下放可复用定义,\`workflows/\` 下
- **RoleDefinition<Meta>**:纯数据——\`description\`\`systemPrompt\`\`schema\`(Zod v4)。不含执行逻辑。
- **WorkflowDefinition<M extends RoleMeta>**:\`description\` + \`roles\`(各角色定义)+ **ModeratorTable**(声明式路由表)。
- **ModeratorTable**:从 \`START\` 与各角色名映射到有序 transition 列表(条件 + 下一角色或 \`END\`);可序列化,供描述符提取 **graph**。
- **AgentFn**:\`(ctx: AgentContext) => Promise<string>\`,原始文本输出;从上下文读取当前角色的 \`systemPrompt\`
- **ExtractFn**:从 CAS content hash 解析结构化数据(引擎与 Agent 都可使用)。
- **AdapterFn**:接收系统提示词与 Zod schema,返回角色执行函数(RoleFn)
- **ExtractFn**:从 CAS content hash 解析结构化数据(引擎与 Adapter 都可使用)。
引擎循环简述:按 **ModeratorTable** 选下一角色 → **Agent** 产出文本 → **Extract** 写入 **meta** → 追加 step,重复直至 **END**。详见 \`docs/architecture.md\` 中的三阶段说明。
引擎循环简述:按 **ModeratorTable** 选下一角色 → **Adapter** 产出 typed meta → 追加 step,重复直至 **END**。详见 \`docs/architecture.md\` 中的三阶段说明。
## 3. 开发流程
@@ -111,7 +111,7 @@ Init 生成的骨架:\`templates/\` 下放可复用定义,\`workflows/\` 下
2. **编写 RoleDefinition**:为每个角色写 Zod \`schema\`,补齐 \`systemPrompt\` / \`description\`
3. **编写 ModeratorTable**:为 \`START\` 与各角色声明 transition(\`FALLBACK\` 或命名条件 + \`check\`)。
4. **组装 WorkflowDefinition**:在模板 \`index\` 中导出 definition(以及必要的角色 / table 导出)。
5. **实例化**:在 workflow 包中使用 \`createWorkflow(def, binding)\`(或项目约定的封装)绑定 **AgentFn**;**ExtractFn** 由引擎从 **workflow.yaml** 注入 \`WorkflowRuntime\`
5. **实例化**:在 workflow 包中使用 \`createWorkflow(def, binding)\`(或项目约定的封装)绑定 **AdapterFn**;**ExtractFn** 由引擎从 **workflow.yaml** 注入 \`WorkflowRuntime\`
6. **构建**:打包为单个 **.esm.js** bundle,使用 **uncaged-workflow add** 注册。
## 4. 编码规范
@@ -79,7 +79,7 @@ describe("validateCursorAgentConfig", () => {
});
describe("createCursorAgent", () => {
test("returns an AgentFn with explicit workspace", () => {
test("returns an AdapterFn with explicit workspace", () => {
const agent = createCursorAgent({
command: "/usr/local/bin/cursor-agent",
model: null,
@@ -90,7 +90,7 @@ describe("createCursorAgent", () => {
expect(typeof agent).toBe("function");
});
test("returns an AgentFn with null workspace and llmProvider", () => {
test("returns an AdapterFn with null workspace and llmProvider", () => {
const agent = createCursorAgent({
command: "/usr/local/bin/cursor-agent",
model: null,
+14 -7
View File
@@ -1,6 +1,11 @@
import type { AgentFn } from "@uncaged/workflow-runtime";
import type { AdapterFn } from "@uncaged/workflow-runtime";
import { createLogger } from "@uncaged/workflow-util";
import { buildAgentPrompt, type SpawnCliError, spawnCli } from "@uncaged/workflow-util-agent";
import {
buildThreadInput,
createTextAdapter,
type SpawnCliError,
spawnCli,
} from "@uncaged/workflow-util-agent";
import { extractWorkspacePath } from "./extract-workspace.js";
import type { CursorAgentConfig } from "./types.js";
@@ -29,12 +34,12 @@ function resolveCursorModel(model: string | null): string {
}
/** Runs `cursor-agent` with workspace from config or extracted from context via LLM. */
export function createCursorAgent(config: CursorAgentConfig): AgentFn {
export function createCursorAgent(config: CursorAgentConfig): AdapterFn {
const modelFlag = resolveCursorModel(config.model);
const timeoutMs = config.timeout > 0 ? config.timeout : null;
const logger = createLogger({ sink: { kind: "stderr" } });
return async (ctx) => {
return createTextAdapter(async (ctx, prompt) => {
const validated = validateCursorAgentConfig(config);
if (!validated.ok) {
throw new Error(validated.error);
@@ -48,7 +53,8 @@ export function createCursorAgent(config: CursorAgentConfig): AgentFn {
if (config.llmProvider === null) {
throw new Error("cursor-agent: llmProvider is required when workspace is null");
}
const extracted = await extractWorkspacePath(ctx, config.llmProvider, logger);
const agentCtx = { ...ctx, currentRole: { name: "cursor", systemPrompt: prompt } };
const extracted = await extractWorkspacePath(agentCtx, config.llmProvider, logger);
if (extracted === null) {
throw new Error(
"cursor-agent: failed to extract workspace path from context. Provide an explicit workspace or ensure previous steps include a repoPath.",
@@ -58,7 +64,8 @@ export function createCursorAgent(config: CursorAgentConfig): AgentFn {
}
logger("R5HN3YKQ", `cursor-agent workspace: ${workspace}`);
const fullPrompt = await buildAgentPrompt(ctx);
const threadInput = await buildThreadInput(ctx);
const fullPrompt = `${prompt}\n\n${threadInput}`;
const args = [
"-p",
fullPrompt,
@@ -79,5 +86,5 @@ export function createCursorAgent(config: CursorAgentConfig): AgentFn {
throwCursorSpawnError(run.error);
}
return run.value;
};
});
}
@@ -37,7 +37,7 @@ describe("validateHermesAgentConfig", () => {
});
describe("createHermesAgent", () => {
test("returns an AgentFn even with invalid config (validation deferred to call)", () => {
test("returns an AdapterFn even with invalid config (validation deferred to call)", () => {
const agent = createHermesAgent({
command: "/usr/local/bin/hermes",
model: null,
+12 -6
View File
@@ -1,5 +1,10 @@
import type { AgentFn } from "@uncaged/workflow-runtime";
import { buildAgentPrompt, type SpawnCliError, spawnCli } from "@uncaged/workflow-util-agent";
import type { AdapterFn } from "@uncaged/workflow-runtime";
import {
buildThreadInput,
createTextAdapter,
type SpawnCliError,
spawnCli,
} from "@uncaged/workflow-util-agent";
import type { HermesAgentConfig } from "./types.js";
import { validateHermesAgentConfig } from "./validate-config.js";
@@ -25,16 +30,17 @@ function throwHermesSpawnError(error: SpawnCliError): never {
}
/** Runs `hermes chat` non-interactively with the Nerve-style argv contract (`-q`, `--yolo`, `--quiet`). */
export function createHermesAgent(config: HermesAgentConfig): AgentFn {
export function createHermesAgent(config: HermesAgentConfig): AdapterFn {
const timeoutMs = config.timeout;
return async (ctx) => {
return createTextAdapter(async (ctx, prompt) => {
const validated = validateHermesAgentConfig(config);
if (!validated.ok) {
throw new Error(validated.error);
}
const fullPrompt = await buildAgentPrompt(ctx);
const threadInput = await buildThreadInput(ctx);
const fullPrompt = `${prompt}\n\n${threadInput}`;
const args = [
"chat",
"-q",
@@ -55,5 +61,5 @@ export function createHermesAgent(config: HermesAgentConfig): AgentFn {
throwHermesSpawnError(run.error);
}
return run.value;
};
});
}
@@ -1,9 +1,16 @@
import { describe, expect, test } from "bun:test";
import { type AgentContext, START } from "@uncaged/workflow-runtime";
import {
type CasStore,
type ExtractFn,
START,
type ThreadContext,
type WorkflowRuntime,
} from "@uncaged/workflow-runtime";
import * as z from "zod";
import { createLlmAdapter } from "../src/create-llm-adapter.js";
function makeCtx(userContent: string): AgentContext {
function makeCtx(userContent: string): ThreadContext {
return {
start: {
role: START,
@@ -16,14 +23,34 @@ function makeCtx(userContent: string): AgentContext {
bundleHash: "TESTHASH00001",
steps: [],
threadId: "01TEST000000000000000000TR",
currentRole: { name: "planner", systemPrompt: "system instructions" },
};
}
const testSchema = z.object({ summary: z.string() });
function makeRuntime(): WorkflowRuntime {
let stored = "";
const cas: CasStore = {
put: async (content: string) => {
stored = content;
return "HASH001";
},
get: async () => stored,
delete: async () => {},
list: async () => [],
};
const extract: ExtractFn = async (_schema, _contentHash) => ({
meta: { summary: "extracted" },
contentPayload: stored,
refs: [],
});
return { cas, extract };
}
describe("createLlmAdapter", () => {
const originalFetch = globalThis.fetch;
test("posts system + user (start.content) and returns assistant text", async () => {
test("posts system + user (start.content) and returns typed meta with childThread: null", async () => {
globalThis.fetch = (() =>
Promise.resolve(
new Response(JSON.stringify({ choices: [{ message: { content: "model reply" } }] }), {
@@ -34,11 +61,13 @@ describe("createLlmAdapter", () => {
const provider = { baseUrl: "https://api.example/v1", apiKey: "k", model: "m" };
const adapter = createLlmAdapter(provider);
const out = await adapter(makeCtx("trigger text"));
const roleFn = adapter("system instructions", testSchema);
const result = await roleFn(makeCtx("trigger text"), makeRuntime());
globalThis.fetch = originalFetch;
expect(out).toBe("model reply");
expect(result.meta).toEqual({ summary: "extracted" });
expect(result.childThread).toBeNull();
});
test("throws on non-ok fetch response", async () => {
@@ -52,8 +81,9 @@ describe("createLlmAdapter", () => {
const provider = { baseUrl: "https://api.example/v1", apiKey: "k", model: "m" };
const adapter = createLlmAdapter(provider);
const roleFn = adapter("system", testSchema);
await expect(adapter(makeCtx("hi"))).rejects.toThrow("llm:");
await expect(roleFn(makeCtx("hi"), makeRuntime())).rejects.toThrow("llm:");
globalThis.fetch = originalFetch;
});
@@ -62,8 +92,9 @@ describe("createLlmAdapter", () => {
const provider = { baseUrl: "https://api.example/v1", apiKey: "k", model: "m" };
const adapter = createLlmAdapter(provider);
const roleFn = adapter("system", testSchema);
await expect(adapter(makeCtx("hi"))).rejects.toThrow();
await expect(roleFn(makeCtx("hi"), makeRuntime())).rejects.toThrow();
globalThis.fetch = originalFetch;
});
});
+5 -1
View File
@@ -12,6 +12,10 @@
"test": "bun test"
},
"dependencies": {
"@uncaged/workflow-runtime": "workspace:*"
"@uncaged/workflow-runtime": "workspace:*",
"@uncaged/workflow-util-agent": "workspace:*"
},
"devDependencies": {
"zod": "^4.0.0"
}
}
@@ -1,11 +1,5 @@
import {
type AgentContext,
type AgentFn,
err,
type LlmProvider,
ok,
type Result,
} from "@uncaged/workflow-runtime";
import { type AdapterFn, err, type LlmProvider, ok, type Result } from "@uncaged/workflow-runtime";
import { createTextAdapter } from "@uncaged/workflow-util-agent";
/** OpenAI chat completion message shape (passed to `/chat/completions`). */
export type LlmMessage = { role: "system" | "user" | "assistant"; content: string };
@@ -97,13 +91,13 @@ export async function chatCompletionText(options: {
return parseAssistantText(res.value);
}
/** Single-turn chat adapter: system prompt comes from {@link AgentContext.currentRole}. */
export function createLlmAdapter(provider: LlmProvider): AgentFn {
return async (ctx: AgentContext) => {
/** Single-turn chat adapter: system prompt is passed by the workflow engine. */
export function createLlmAdapter(provider: LlmProvider): AdapterFn {
return createTextAdapter(async (ctx, prompt) => {
const result = await chatCompletionText({
provider,
messages: [
{ role: "system", content: ctx.currentRole.systemPrompt },
{ role: "system", content: prompt },
{ role: "user", content: ctx.start.content },
],
});
@@ -111,5 +105,5 @@ export function createLlmAdapter(provider: LlmProvider): AgentFn {
throw new Error(`llm: ${formatLlmChatError(result.error)}`);
}
return result.value;
};
});
}
+1 -1
View File
@@ -6,5 +6,5 @@
"composite": true
},
"include": ["src/**/*.ts"],
"references": [{ "path": "../workflow-runtime" }]
"references": [{ "path": "../workflow-runtime" }, { "path": "../workflow-util-agent" }]
}
+3
View File
@@ -42,4 +42,7 @@ export {
llmErrorToCause,
llmExtract,
} from "./extract/index.js";
export { type WorkflowAdapterOptions, workflowAdapter } from "./workflow-adapter.js";
/** @deprecated Use {@link workflowAdapter} instead. */
export { type WorkflowAsAgentOptions, workflowAsAgent } from "./workflow-as-agent.js";
@@ -0,0 +1,165 @@
import { join } from "node:path";
import { createCasStore, putContentNodeWithRefs } from "@uncaged/workflow-cas";
import type { WorkflowConfig } from "@uncaged/workflow-register";
import {
extractBundleExports,
getRegisteredWorkflow,
readWorkflowRegistry,
} from "@uncaged/workflow-register";
import type {
AdapterFn,
RoleResult,
ThreadContext,
WorkflowFn,
WorkflowRuntime,
} from "@uncaged/workflow-runtime";
import {
createLogger,
generateUlid,
getDefaultWorkflowStorageRoot,
getGlobalCasDir,
} from "@uncaged/workflow-util";
import type * as z from "zod/v4";
import type { ExecuteThreadIo } from "./engine/index.js";
import { executeThread, getBundleDir, readThreadsIndex } from "./engine/index.js";
const DEFAULT_WORKFLOW_ADAPTER_MAX_DEPTH = 3;
function workflowAdapterMaxDepth(config: WorkflowConfig | null): number {
return config === null ? DEFAULT_WORKFLOW_ADAPTER_MAX_DEPTH : config.maxDepth;
}
export type WorkflowAdapterOptions = {
/** When `null`, uses `getDefaultWorkflowStorageRoot()`. */
storageRoot: string | null;
};
function resolveStorageRoot(options: WorkflowAdapterOptions | null): string {
if (options !== null && options.storageRoot !== null) {
return options.storageRoot;
}
return getDefaultWorkflowStorageRoot();
}
async function readParentHeadState(
storageRoot: string,
ctx: ThreadContext,
): Promise<string | null> {
const bundleDir = getBundleDir(storageRoot, ctx.bundleHash);
const index = await readThreadsIndex(bundleDir);
const entry = index[ctx.threadId] ?? null;
return entry !== null ? entry.head : null;
}
/** Resolve the workflow bundle and validate depth limits. */
async function resolveWorkflowBundle(workflowName: string, storageRoot: string, nextDepth: number) {
const registryResult = await readWorkflowRegistry(storageRoot);
if (!registryResult.ok) {
throw new Error(`failed to read workflow registry: ${registryResult.error.message}`);
}
const maxDepth = workflowAdapterMaxDepth(registryResult.value.config);
if (nextDepth > maxDepth) {
throw new Error(`workflow adapter depth limit exceeded (max ${maxDepth})`);
}
const entry = getRegisteredWorkflow(registryResult.value, workflowName);
if (entry === null) {
throw new Error(`workflow "${workflowName}" not found in registry`);
}
const bundlePath = join(storageRoot, "bundles", `${entry.hash}.esm.js`);
const bundleExportsResult = await extractBundleExports(bundlePath, { storageRoot });
if (!bundleExportsResult.ok) {
throw new Error(String(bundleExportsResult.error));
}
return { entry, run: bundleExportsResult.value.run };
}
/** Execute the child workflow thread and return a summary + root hash. */
async function runChildThread(params: {
workflowName: string;
storageRoot: string;
ctx: ThreadContext;
run: WorkflowFn;
bundleHash: string;
nextDepth: number;
}) {
const { workflowName, storageRoot, ctx, run, bundleHash, nextDepth } = params;
const childThreadId = generateUlid(Date.now());
const infoJsonlPath = join(storageRoot, "logs", bundleHash, `${childThreadId}.info.jsonl`);
const io: ExecuteThreadIo = {
threadId: childThreadId,
hash: bundleHash,
infoJsonlPath,
cas: createCasStore(getGlobalCasDir(storageRoot)),
};
const logger = createLogger({ sink: { kind: "file", path: infoJsonlPath } });
const parentHeadState = await readParentHeadState(storageRoot, ctx);
const result = await executeThread(
run,
workflowName,
{ prompt: ctx.start.content, steps: [] },
{
depth: nextDepth,
parentStateHash: parentHeadState,
signal: new AbortController().signal,
awaitAfterEachYield: async () => {},
forkSourceThreadId: ctx.threadId,
prefilledDiskSteps: null,
forkContinuation: null,
replayTimestamps: null,
storageRoot,
},
io,
logger,
);
return {
summary: `Child workflow "${workflowName}" completed (returnCode=${result.returnCode}).\n\nSummary: ${result.summary}\n\nChild thread root hash: ${result.rootHash}`,
rootHash: result.rootHash,
};
}
/**
* Returns an {@link AdapterFn} that runs another registered workflow in a new child thread,
* using the parent thread's initial prompt (`ctx.start.content`) as the child prompt.
*
* The child thread's root hash is returned as `childThread` in the result,
* enabling parent→child tracking in the CAS Merkle tree.
*/
export function workflowAdapter(
workflowName: string,
options: WorkflowAdapterOptions | null = null,
): AdapterFn {
return <T>(_prompt: string, schema: z.ZodType<T>) => {
return async (ctx: ThreadContext, runtime: WorkflowRuntime): Promise<RoleResult<T>> => {
const storageRoot = resolveStorageRoot(options);
const { entry, run } = await resolveWorkflowBundle(workflowName, storageRoot, ctx.depth + 1);
try {
const { summary, rootHash } = await runChildThread({
workflowName,
storageRoot,
ctx,
run,
bundleHash: entry.hash,
nextDepth: ctx.depth + 1,
});
const contentHash = await putContentNodeWithRefs(runtime.cas, summary, []);
const extracted = await runtime.extract(
schema as z.ZodType<Record<string, unknown>>,
contentHash,
);
return { meta: extracted.meta as T, childThread: rootHash };
} catch (e) {
const message = e instanceof Error ? e.message : String(e);
throw new Error(`child workflow "${workflowName}" failed: ${message}`);
}
};
};
}
@@ -1,136 +1,8 @@
import { join } from "node:path";
import { createCasStore } from "@uncaged/workflow-cas";
import type { WorkflowConfig } from "@uncaged/workflow-register";
import {
extractBundleExports,
getRegisteredWorkflow,
readWorkflowRegistry,
} from "@uncaged/workflow-register";
import type { AgentContext, AgentFn, AgentFnResult } from "@uncaged/workflow-runtime";
import {
createLogger,
generateUlid,
getDefaultWorkflowStorageRoot,
getGlobalCasDir,
} from "@uncaged/workflow-util";
import type { ExecuteThreadIo } from "./engine/index.js";
import { executeThread, getBundleDir, readThreadsIndex } from "./engine/index.js";
const DEFAULT_WORKFLOW_AS_AGENT_MAX_DEPTH = 3;
function workflowAsAgentMaxDepth(config: WorkflowConfig | null): number {
if (config === null) {
return DEFAULT_WORKFLOW_AS_AGENT_MAX_DEPTH;
}
return config.maxDepth;
}
export type WorkflowAsAgentOptions = {
/** When `null`, uses `getDefaultWorkflowStorageRoot()`. */
storageRoot: string | null;
};
function resolveWorkflowAsAgentStorageRoot(options: WorkflowAsAgentOptions | null): string {
if (options !== null && options.storageRoot !== null) {
return options.storageRoot;
}
return getDefaultWorkflowStorageRoot();
}
async function readParentHeadState(storageRoot: string, ctx: AgentContext): Promise<string | null> {
const bundleDir = getBundleDir(storageRoot, ctx.bundleHash);
const index = await readThreadsIndex(bundleDir);
const entry = index[ctx.threadId] ?? null;
return entry !== null ? entry.head : null;
}
/**
* Returns an {@link AgentFn} that runs another registered workflow in a new thread,
* using the parent thread's initial prompt (`ctx.start.content`) as the child prompt.
* @deprecated Use `workflowAdapter` from `./workflow-adapter.js` instead.
* This module is kept for backward compatibility and will be removed in a future release.
*/
export function workflowAsAgent(
workflowName: string,
options: WorkflowAsAgentOptions | null = null,
): AgentFn {
return async (ctx: AgentContext): Promise<AgentFnResult> => {
const nextDepth = ctx.depth + 1;
const storageRoot = resolveWorkflowAsAgentStorageRoot(options);
const registryResult = await readWorkflowRegistry(storageRoot);
if (!registryResult.ok) {
return {
output: `ERROR: failed to read workflow registry: ${registryResult.error.message}`,
childThread: null,
};
}
const maxDepth = workflowAsAgentMaxDepth(registryResult.value.config);
if (nextDepth > maxDepth) {
return {
output: `ERROR: workflow-as-agent depth limit exceeded (max ${maxDepth})`,
childThread: null,
};
}
const entry = getRegisteredWorkflow(registryResult.value, workflowName);
if (entry === null) {
return {
output: `ERROR: workflow "${workflowName}" not found in registry`,
childThread: null,
};
}
const bundlePath = join(storageRoot, "bundles", `${entry.hash}.esm.js`);
const bundleExportsResult = await extractBundleExports(bundlePath, { storageRoot });
if (!bundleExportsResult.ok) {
return { output: `ERROR: ${bundleExportsResult.error}`, childThread: null };
}
const input = {
prompt: ctx.start.content,
steps: [],
};
const childThreadId = generateUlid(Date.now());
const infoJsonlPath = join(storageRoot, "logs", entry.hash, `${childThreadId}.info.jsonl`);
const io: ExecuteThreadIo = {
threadId: childThreadId,
hash: entry.hash,
infoJsonlPath,
cas: createCasStore(getGlobalCasDir(storageRoot)),
};
const logger = createLogger({ sink: { kind: "file", path: infoJsonlPath } });
const signalNever = new AbortController();
const parentHeadState = await readParentHeadState(storageRoot, ctx);
try {
const result = await executeThread(
bundleExportsResult.value.run,
workflowName,
input,
{
depth: nextDepth,
parentStateHash: parentHeadState,
signal: signalNever.signal,
awaitAfterEachYield: async () => {},
forkSourceThreadId: ctx.threadId,
prefilledDiskSteps: null,
forkContinuation: null,
replayTimestamps: null,
storageRoot,
},
io,
logger,
);
const summary = `Child workflow "${workflowName}" completed (returnCode=${result.returnCode}).\n\nSummary: ${result.summary}\n\nChild thread root hash: ${result.rootHash}`;
return { output: summary, childThread: result.rootHash };
} catch (e) {
const message = e instanceof Error ? e.message : String(e);
return { output: `ERROR: ${message}`, childThread: null };
}
};
}
export {
type WorkflowAdapterOptions as WorkflowAsAgentOptions,
workflowAdapter as workflowAsAgent,
} from "./workflow-adapter.js";
-3
View File
@@ -12,10 +12,7 @@ export type {
AdapterBinding,
AdapterFn,
AdvanceOutcome,
AgentBinding,
AgentContext,
AgentFn,
AgentFnResult,
CasStore,
ExtractFn,
ExtractResult,
-12
View File
@@ -143,18 +143,6 @@ export type ExtractFn = <T extends Record<string, unknown>>(
contentHash: string,
) => Promise<ExtractResult<T>>;
/** @deprecated Use {@link AdapterFn} instead. Will be removed in a future release. */
export type AgentFnResult = string | { output: string; childThread: string | null };
/** @deprecated Use {@link AdapterFn} instead. Will be removed in a future release. */
export type AgentFn = (ctx: AgentContext) => Promise<AgentFnResult>;
/** @deprecated Use {@link AdapterBinding} instead. Will be removed in a future release. */
export type AgentBinding = {
agent: AgentFn;
overrides: Partial<Record<string, AgentFn>> | null;
};
// ── Adapter (replaces Agent) ────────────────────────────────────────
export type RoleResult<T> = { meta: T; childThread: string | null };
-3
View File
@@ -4,10 +4,7 @@ export { err, ok } from "./result.js";
export type {
AdapterBinding,
AdapterFn,
AgentBinding,
AgentContext,
AgentFn,
AgentFnResult,
CasStore,
ExtractFn,
ExtractResult,
-3
View File
@@ -6,10 +6,7 @@ export type {
AdapterBinding,
AdapterFn,
AdvanceOutcome,
AgentBinding,
AgentContext,
AgentFn,
AgentFnResult,
CasStore,
ExtractFn,
ExtractResult,
@@ -6,7 +6,6 @@
import { createCursorAgent } from "@uncaged/workflow-agent-cursor";
import { createWorkflow } from "@uncaged/workflow-runtime";
import { optionalEnv, requireEnv } from "@uncaged/workflow-util";
import { wrapAgentAsAdapter } from "@uncaged/workflow-util-agent";
import { buildDevelopDescriptor, developWorkflowDefinition } from "./src/index.js";
const llmProvider = {
@@ -18,7 +17,7 @@ const llmProvider = {
model: optionalEnv("WORKFLOW_LLM_MODEL", "qwen-plus"),
};
const agent = createCursorAgent({
const adapter = createCursorAgent({
command: requireEnv("WORKFLOW_CURSOR_COMMAND", "set WORKFLOW_CURSOR_COMMAND (e.g. cursor-agent)"),
model: optionalEnv("WORKFLOW_CURSOR_MODEL"),
timeout: optionalEnv("WORKFLOW_CURSOR_TIMEOUT")
@@ -28,8 +27,6 @@ const agent = createCursorAgent({
llmProvider,
});
const adapter = wrapAgentAsAdapter(agent);
const wf = createWorkflow(developWorkflowDefinition, { adapter, overrides: null });
export const descriptor = buildDevelopDescriptor();
@@ -2,31 +2,25 @@
* solve-issue bundle entry — 小橘 🍊
*
* preparer + submitter → hermes agent
* developer → workflow-as-agent (delegates to "develop" workflow)
* developer → workflow adapter (delegates to "develop" workflow)
*/
import { createHermesAgent } from "@uncaged/workflow-agent-hermes";
import { workflowAsAgent } from "@uncaged/workflow-execute";
import { workflowAdapter } from "@uncaged/workflow-execute";
import { createWorkflow } from "@uncaged/workflow-runtime";
import { optionalEnv } from "@uncaged/workflow-util";
import { wrapAgentAsAdapter } from "@uncaged/workflow-util-agent";
import { buildSolveIssueDescriptor, solveIssueWorkflowDefinition } from "./src/index.js";
const hermesAgent = createHermesAgent({
const adapter = createHermesAgent({
model: optionalEnv("WORKFLOW_HERMES_MODEL"),
timeout: optionalEnv("WORKFLOW_HERMES_TIMEOUT")
? Number(optionalEnv("WORKFLOW_HERMES_TIMEOUT"))
: null,
});
const developerAgent = workflowAsAgent("develop");
const adapter = wrapAgentAsAdapter(hermesAgent);
const developerAdapter = wrapAgentAsAdapter(developerAgent);
const wf = createWorkflow(solveIssueWorkflowDefinition, {
adapter,
overrides: {
developer: developerAdapter,
developer: workflowAdapter("develop"),
},
});
@@ -0,0 +1,51 @@
import { putContentNodeWithRefs } from "@uncaged/workflow-cas";
import type {
AdapterFn,
RoleResult,
ThreadContext,
WorkflowRuntime,
} from "@uncaged/workflow-runtime";
import type * as z from "zod/v4";
/**
* Result from a text-producing agent (CLI spawn, LLM call, etc.).
* `output` is the raw text; `childThread` links to a spawned sub-workflow.
*/
export type TextAdapterResult = {
output: string;
childThread: string | null;
};
/**
* A function that produces raw text output given the thread context and
* the system prompt for the current role.
*/
export type TextProducerFn = (
ctx: ThreadContext,
prompt: string,
) => Promise<string | TextAdapterResult>;
/**
* Creates an {@link AdapterFn} from a text-producing function.
*
* The adapter:
* 1. Calls the producer with thread context + system prompt
* 2. Stores output in CAS
* 3. Runs the extract phase to produce typed meta
* 4. Returns `{ meta, childThread }`
*/
export function createTextAdapter(producer: TextProducerFn): AdapterFn {
return <T>(prompt: string, schema: z.ZodType<T>) => {
return async (ctx: ThreadContext, runtime: WorkflowRuntime): Promise<RoleResult<T>> => {
const result = await producer(ctx, prompt);
const output = typeof result === "string" ? result : result.output;
const childThread = typeof result === "string" ? null : result.childThread;
const contentHash = await putContentNodeWithRefs(runtime.cas, output, []);
const extracted = await runtime.extract(
schema as z.ZodType<Record<string, unknown>>,
contentHash,
);
return { meta: extracted.meta as T, childThread };
};
};
}
+2 -1
View File
@@ -1,4 +1,5 @@
export { buildAgentPrompt, buildThreadInput } from "./build-agent-prompt.js";
export type { TextAdapterResult, TextProducerFn } from "./create-text-adapter.js";
export { createTextAdapter } from "./create-text-adapter.js";
export type { SpawnCliConfig, SpawnCliError, SpawnCliResult } from "./spawn-cli.js";
export { spawnCli } from "./spawn-cli.js";
export { wrapAgentAsAdapter } from "./wrap-agent-as-adapter.js";
@@ -1,37 +0,0 @@
import { putContentNodeWithRefs } from "@uncaged/workflow-cas";
import type {
AdapterFn,
AgentContext,
AgentFnResult,
RoleResult,
ThreadContext,
WorkflowRuntime,
} from "@uncaged/workflow-runtime";
import type * as z from "zod/v4";
/**
* Wraps a legacy AgentFn into an AdapterFn.
* The agent produces a string (or { output, childThread }); the adapter
* stores the output in CAS, runs extract, and returns typed meta + childThread.
*/
export function wrapAgentAsAdapter(
agentFn: (ctx: AgentContext) => Promise<AgentFnResult>,
): AdapterFn {
return <T>(prompt: string, schema: z.ZodType<T>) => {
return async (ctx: ThreadContext, runtime: WorkflowRuntime): Promise<RoleResult<T>> => {
const agentCtx: AgentContext = {
...ctx,
currentRole: { name: "agent", systemPrompt: prompt },
};
const result = await agentFn(agentCtx);
const output = typeof result === "string" ? result : result.output;
const childThread = typeof result === "string" ? null : result.childThread;
const contentHash = await putContentNodeWithRefs(runtime.cas, output, []);
const extracted = await runtime.extract(
schema as z.ZodType<Record<string, unknown>>,
contentHash,
);
return { meta: extracted.meta as T, childThread };
};
};
}