feat: add @uncaged/uwf-agent-kit — agent CLI framework

- createAgent() API for building agent CLIs
- Context builder: reads CAS chain, builds AgentContext
- Extract: LLM-based structured output extraction
- StepNode writer: writes to CAS without touching threads.yaml
- Stdout: outputs StepNode hash

Refs #309, #314
This commit is contained in:
2026-05-18 09:15:25 +00:00
parent 0d5678c961
commit 4d477c67c0
10 changed files with 925 additions and 0 deletions
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import { describe, expect, test } from "bun:test";
import type { WorkflowConfig } from "@uncaged/uwf-protocol";
import { resolveExtractModelAlias } from "../src/extract.js";
function baseConfig(overrides: Partial<WorkflowConfig> = {}): WorkflowConfig {
return {
providers: {},
models: {
sonnet: { provider: "openrouter", name: "anthropic/claude-sonnet-4" },
"gpt4o-mini": { provider: "openai", name: "gpt-4o-mini" },
},
agents: {},
defaultAgent: "hermes",
agentOverrides: null,
defaultModel: "sonnet",
modelOverrides: null,
...overrides,
};
}
describe("resolveExtractModelAlias", () => {
test("uses modelOverrides.extract when set", () => {
const config = baseConfig({
modelOverrides: { extract: "gpt4o-mini" },
});
expect(resolveExtractModelAlias(config)).toBe("gpt4o-mini");
});
test("falls back to models.extract alias when present", () => {
const config = baseConfig({
models: {
extract: { provider: "openai", name: "gpt-4o-mini" },
sonnet: { provider: "openrouter", name: "anthropic/claude-sonnet-4" },
},
});
expect(resolveExtractModelAlias(config)).toBe("extract");
});
test("falls back to defaultModel", () => {
expect(resolveExtractModelAlias(baseConfig())).toBe("sonnet");
});
});
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{
"name": "@uncaged/uwf-agent-kit",
"version": "0.1.0",
"files": [
"src",
"dist",
"package.json"
],
"type": "module",
"exports": {
".": {
"bun": "./src/index.ts",
"types": "./dist/index.d.ts",
"import": "./dist/index.js"
}
},
"scripts": {
"test": "bun test"
},
"dependencies": {
"@uncaged/json-cas": "workspace:^",
"@uncaged/json-cas-fs": "workspace:^",
"@uncaged/uwf-protocol": "workspace:^",
"dotenv": "^16.6.1",
"yaml": "^2.8.4"
},
"devDependencies": {
"typescript": "^5.8.3"
},
"publishConfig": {
"access": "public"
}
}
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import type {
CasRef,
StartNodePayload,
StepContext,
StepNodePayload,
ThreadId,
} from "@uncaged/uwf-protocol";
import { createAgentStore, loadThreadsIndex, resolveStorageRoot } from "./storage.js";
import type { AgentContext } from "./types.js";
type ChainState = {
startHash: CasRef;
start: StartNodePayload;
stepsNewestFirst: StepNodePayload[];
headIsStart: boolean;
};
function fail(message: string): never {
throw new Error(message);
}
function walkChain(
store: Awaited<ReturnType<typeof createAgentStore>>["store"],
schemas: Awaited<ReturnType<typeof createAgentStore>>["schemas"],
headHash: CasRef,
): ChainState {
const headNode = store.get(headHash);
if (headNode === null) {
fail(`CAS node not found: ${headHash}`);
}
if (headNode.type === schemas.startNode) {
return {
startHash: headHash,
start: headNode.payload as StartNodePayload,
stepsNewestFirst: [],
headIsStart: true,
};
}
if (headNode.type !== schemas.stepNode) {
fail(`head ${headHash} is not a StartNode or StepNode`);
}
const stepsNewestFirst: StepNodePayload[] = [];
let hash: CasRef | null = headHash;
while (hash !== null) {
const node = store.get(hash);
if (node === null) {
fail(`CAS node not found while walking chain: ${hash}`);
}
if (node.type !== schemas.stepNode) {
break;
}
const payload = node.payload as StepNodePayload;
stepsNewestFirst.push(payload);
hash = payload.prev;
}
const newest = stepsNewestFirst[0];
if (newest === undefined) {
fail(`empty step chain at head ${headHash}`);
}
const startNode = store.get(newest.start);
if (startNode === null || startNode.type !== schemas.startNode) {
fail(`StartNode not found: ${newest.start}`);
}
return {
startHash: newest.start,
start: startNode.payload as StartNodePayload,
stepsNewestFirst,
headIsStart: false,
};
}
function expandOutput(
store: Awaited<ReturnType<typeof createAgentStore>>["store"],
outputRef: CasRef,
): unknown {
const node = store.get(outputRef);
if (node === null) {
return {};
}
return node.payload;
}
async function buildHistory(
store: Awaited<ReturnType<typeof createAgentStore>>["store"],
stepsNewestFirst: StepNodePayload[],
): Promise<StepContext[]> {
const chronological = [...stepsNewestFirst].reverse();
const history: StepContext[] = [];
for (const step of chronological) {
history.push({
role: step.role,
output: expandOutput(store, step.output),
detail: step.detail,
agent: step.agent,
});
}
return history;
}
async function loadWorkflow(
store: Awaited<ReturnType<typeof createAgentStore>>["store"],
schemas: Awaited<ReturnType<typeof createAgentStore>>["schemas"],
workflowRef: CasRef,
) {
const node = store.get(workflowRef);
if (node === null) {
fail(`workflow CAS node not found: ${workflowRef}`);
}
if (node.type !== schemas.workflow) {
fail(`node ${workflowRef} is not a Workflow`);
}
return node.payload as AgentContext["workflow"];
}
/**
* Build agent execution context from thread head in threads.yaml.
* Walks the CAS chain from head to StartNode and expands step outputs.
*/
export async function buildContext(threadId: ThreadId, role: string): Promise<AgentContext> {
const storageRoot = resolveStorageRoot();
const agentStore = await createAgentStore(storageRoot);
const { store, schemas } = agentStore;
const index = await loadThreadsIndex(storageRoot);
const headHash = index[threadId];
if (headHash === undefined) {
fail(`thread not found in threads.yaml: ${threadId}`);
}
const chain = walkChain(store, schemas, headHash);
const workflow = await loadWorkflow(store, schemas, chain.start.workflow);
const roleDef = workflow.roles[role];
if (roleDef === undefined) {
fail(`unknown role "${role}" in workflow "${workflow.name}"`);
}
const history = await buildHistory(store, chain.stepsNewestFirst);
return {
threadId,
role,
systemPrompt: roleDef.systemPrompt,
prompt: chain.start.prompt,
history,
workflow,
};
}
export type BuildContextMeta = {
storageRoot: string;
store: Awaited<ReturnType<typeof createAgentStore>>["store"];
schemas: Awaited<ReturnType<typeof createAgentStore>>["schemas"];
headHash: CasRef;
chain: ChainState;
};
/**
* Same as {@link buildContext} but also returns chain metadata for writing the next StepNode.
*/
export async function buildContextWithMeta(
threadId: ThreadId,
role: string,
): Promise<AgentContext & { meta: BuildContextMeta }> {
const storageRoot = resolveStorageRoot();
const agentStore = await createAgentStore(storageRoot);
const { store, schemas } = agentStore;
const index = await loadThreadsIndex(storageRoot);
const headHash = index[threadId];
if (headHash === undefined) {
fail(`thread not found in threads.yaml: ${threadId}`);
}
const chain = walkChain(store, schemas, headHash);
const workflow = await loadWorkflow(store, schemas, chain.start.workflow);
const roleDef = workflow.roles[role];
if (roleDef === undefined) {
fail(`unknown role "${role}" in workflow "${workflow.name}"`);
}
const history = await buildHistory(store, chain.stepsNewestFirst);
return {
threadId,
role,
systemPrompt: roleDef.systemPrompt,
prompt: chain.start.prompt,
history,
workflow,
meta: { storageRoot, store, schemas, headHash, chain },
};
}
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import { getSchema, validate } from "@uncaged/json-cas";
import type { CasRef, ModelAlias, WorkflowConfig } from "@uncaged/uwf-protocol";
import { config as loadDotenv } from "dotenv";
import { createAgentStore, getEnvPath, resolveStorageRoot } from "./storage.js";
export type ResolvedLlmProvider = {
baseUrl: string;
apiKey: string;
model: string;
};
function isRecord(value: unknown): value is Record<string, unknown> {
return typeof value === "object" && value !== null && !Array.isArray(value);
}
/** Resolve model alias for extract: modelOverrides.extract → models.extract → defaultModel. */
export function resolveExtractModelAlias(config: WorkflowConfig): ModelAlias {
const fromOverride = config.modelOverrides?.extract ?? null;
if (fromOverride !== null) {
return fromOverride;
}
if (config.models.extract !== undefined) {
return "extract";
}
if (config.models.default !== undefined) {
return "default";
}
return config.defaultModel;
}
export function resolveModel(config: WorkflowConfig, alias: ModelAlias): ResolvedLlmProvider {
const modelEntry = config.models[alias];
if (modelEntry === undefined) {
throw new Error(`unknown model alias: ${alias}`);
}
const providerEntry = config.providers[modelEntry.provider];
if (providerEntry === undefined) {
throw new Error(`unknown provider "${modelEntry.provider}" for model "${alias}"`);
}
const apiKey = process.env[providerEntry.apiKeyEnv];
if (apiKey === undefined || apiKey === "") {
throw new Error(`missing API key env var: ${providerEntry.apiKeyEnv}`);
}
return {
baseUrl: providerEntry.baseUrl,
apiKey,
model: modelEntry.name,
};
}
function chatUrl(baseUrl: string): string {
const trimmed = baseUrl.replace(/\/+$/, "");
return `${trimmed}/chat/completions`;
}
function extractJsonFromAssistantText(text: string): unknown {
const trimmed = text.trim();
const fenceMatch = /^```(?:json)?\s*([\s\S]*?)```$/m.exec(trimmed);
const candidate = fenceMatch !== null ? fenceMatch[1].trim() : trimmed;
return JSON.parse(candidate) as unknown;
}
function parseAssistantText(parsed: unknown): string {
if (!isRecord(parsed)) {
throw new Error("LLM response is not an object");
}
const choices = parsed.choices;
if (!Array.isArray(choices) || choices.length === 0) {
throw new Error("LLM response has no choices");
}
const c0 = choices[0];
if (!isRecord(c0)) {
throw new Error("LLM choice is not an object");
}
const messageObj = c0.message;
if (!isRecord(messageObj)) {
throw new Error("LLM message is not an object");
}
const content = messageObj.content;
if (typeof content !== "string") {
throw new Error("LLM message has no text content");
}
return content;
}
async function chatCompletionText(
provider: ResolvedLlmProvider,
messages: Array<{ role: "system" | "user"; content: string }>,
): Promise<string> {
let response: Response;
try {
response = await fetch(chatUrl(provider.baseUrl), {
method: "POST",
headers: {
Authorization: `Bearer ${provider.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: provider.model,
messages,
response_format: { type: "json_object" },
}),
});
} catch (cause) {
const message = cause instanceof Error ? cause.message : String(cause);
throw new Error(`LLM network error: ${message}`);
}
const responseText = await response.text();
if (!response.ok) {
throw new Error(`LLM HTTP ${response.status}: ${responseText.slice(0, 2000)}`);
}
let parsed: unknown;
try {
parsed = JSON.parse(responseText) as unknown;
} catch (cause) {
const message = cause instanceof Error ? cause.message : String(cause);
throw new Error(`LLM invalid JSON response: ${message}`);
}
return parseAssistantText(parsed);
}
export type ExtractResult = {
value: unknown;
hash: CasRef;
};
/**
* Call an OpenAI-compatible LLM to extract structured output matching outputSchema.
* Loads config.yaml and .env from the workflow storage root.
*/
export async function extract(
rawOutput: string,
outputSchema: CasRef,
config: WorkflowConfig,
): Promise<ExtractResult> {
const storageRoot = resolveStorageRoot();
loadDotenv({ path: getEnvPath(storageRoot) });
const { store } = await createAgentStore(storageRoot);
const schema = getSchema(store, outputSchema);
if (schema === null) {
throw new Error(`output schema not found in CAS: ${outputSchema}`);
}
const modelAlias = resolveExtractModelAlias(config);
const provider = resolveModel(config, modelAlias);
const schemaText = JSON.stringify(schema, null, 2);
const assistantText = await chatCompletionText(provider, [
{
role: "system",
content:
"Extract structured data from the agent output. Reply with a single JSON object only, no markdown or prose. The JSON must validate against this JSON Schema:\n" +
schemaText,
},
{
role: "user",
content: rawOutput,
},
]);
let structured: unknown;
try {
structured = extractJsonFromAssistantText(assistantText);
} catch (cause) {
const message = cause instanceof Error ? cause.message : String(cause);
throw new Error(`failed to parse extracted JSON: ${message}`);
}
const outputHash = await store.put(outputSchema, structured);
const node = store.get(outputHash);
if (node === null || !validate(store, node)) {
throw new Error("extracted output failed JSON Schema validation");
}
return { value: structured, hash: outputHash };
}
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export type { BuildContextMeta } from "./context.js";
export { buildContext, buildContextWithMeta } from "./context.js";
export type { ExtractResult, ResolvedLlmProvider } from "./extract.js";
export {
extract,
resolveExtractModelAlias,
resolveModel,
} from "./extract.js";
export { createAgent } from "./run.js";
export type { AgentContext, AgentOptions, AgentRunFn } from "./types.js";
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import { validate } from "@uncaged/json-cas";
import type { CasRef, StepNodePayload, ThreadId } from "@uncaged/uwf-protocol";
import { config as loadDotenv } from "dotenv";
import { buildContextWithMeta } from "./context.js";
import { extract } from "./extract.js";
import type { AgentStore } from "./storage.js";
import { getEnvPath, loadWorkflowConfig, resolveStorageRoot } from "./storage.js";
import type { AgentContext, AgentOptions } from "./types.js";
function fail(message: string): never {
process.stderr.write(`${message}\n`);
process.exit(1);
}
function agentLabel(name: string): string {
if (name.startsWith("uwf-")) {
return name;
}
return `uwf-${name}`;
}
function parseArgv(argv: string[]): { threadId: ThreadId; role: string } {
const threadId = argv[2];
const role = argv[3];
if (threadId === undefined || threadId === "") {
fail("usage: <agent-cli> <thread-id> <role>");
}
if (role === undefined || role === "") {
fail("usage: <agent-cli> <thread-id> <role>");
}
return { threadId: threadId as ThreadId, role };
}
function runWithMessage<T>(label: string, fn: () => Promise<T>): Promise<T> {
return fn().catch((e: unknown) => {
const message = e instanceof Error ? e.message : String(e);
fail(`${label}: ${message}`);
});
}
async function writeStepNode(options: {
store: AgentStore["store"];
schemas: AgentStore["schemas"];
startHash: CasRef;
prevHash: CasRef | null;
role: string;
outputHash: CasRef;
detailHash: CasRef;
agentName: string;
}): Promise<CasRef> {
const payload: StepNodePayload = {
start: options.startHash,
prev: options.prevHash,
role: options.role,
output: options.outputHash,
detail: options.detailHash,
agent: options.agentName,
};
const hash = await options.store.put(options.schemas.stepNode, payload);
const node = options.store.get(hash);
if (node === null || !validate(options.store, node)) {
fail("stored StepNode failed schema validation");
}
return hash;
}
async function runAgent(options: AgentOptions, ctx: AgentContext): Promise<string> {
return runWithMessage("agent run failed", () => options.run(ctx));
}
async function extractOutput(
rawOutput: string,
outputSchema: CasRef,
storageRoot: string,
): Promise<CasRef> {
const config = await runWithMessage("failed to load config", () =>
loadWorkflowConfig(storageRoot),
);
const extracted = await runWithMessage("extract failed", () =>
extract(rawOutput, outputSchema, config),
);
return extracted.hash;
}
async function persistStep(options: {
ctx: Awaited<ReturnType<typeof buildContextWithMeta>>;
rawOutput: string;
outputHash: CasRef;
agentName: string;
}): Promise<CasRef> {
const { store, schemas, chain, headHash } = options.ctx.meta;
const detailHash = await store.put(null, options.rawOutput);
return writeStepNode({
store,
schemas,
startHash: chain.startHash,
prevHash: chain.headIsStart ? null : headHash,
role: options.ctx.role,
outputHash: options.outputHash,
detailHash,
agentName: options.agentName,
});
}
/**
* Create an agent CLI entrypoint.
* Parses argv (`<thread-id> <role>`), runs the agent, extracts structured output,
* writes StepNode to CAS, and prints the new node hash to stdout.
*/
export function createAgent(options: AgentOptions): () => Promise<void> {
return async function main(): Promise<void> {
const { threadId, role } = parseArgv(process.argv);
const storageRoot = resolveStorageRoot();
loadDotenv({ path: getEnvPath(storageRoot) });
const ctx = await runWithMessage("context", () => buildContextWithMeta(threadId, role));
const roleDef = ctx.workflow.roles[role];
if (roleDef === undefined) {
fail(`unknown role: ${role}`);
}
const rawOutput = await runAgent(options, ctx);
const outputHash = await extractOutput(rawOutput, roleDef.outputSchema, storageRoot);
const stepHash = await persistStep({
ctx,
rawOutput,
outputHash,
agentName: agentLabel(options.name),
});
process.stdout.write(`${stepHash}\n`);
};
}
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import type { Hash, JSONSchema, Store } from "@uncaged/json-cas";
import { putSchema } from "@uncaged/json-cas";
const STEP_NODE: JSONSchema = {
type: "object",
required: ["start", "prev", "role", "output", "detail", "agent"],
properties: {
start: { type: "string", format: "cas_ref" },
prev: {
anyOf: [{ type: "string", format: "cas_ref" }, { type: "null" }],
},
role: { type: "string" },
output: { type: "string", format: "cas_ref" },
detail: { type: "string", format: "cas_ref" },
agent: { type: "string" },
},
additionalProperties: false,
};
const START_NODE: JSONSchema = {
type: "object",
required: ["workflow", "prompt"],
properties: {
workflow: { type: "string", format: "cas_ref" },
prompt: { type: "string" },
},
additionalProperties: false,
};
const WORKFLOW: JSONSchema = {
type: "object",
required: ["name", "description", "roles", "conditions", "graph"],
properties: {
name: { type: "string" },
description: { type: "string" },
roles: {
type: "object",
additionalProperties: {
type: "object",
required: ["description", "systemPrompt", "outputSchema"],
properties: {
description: { type: "string" },
systemPrompt: { type: "string" },
outputSchema: { type: "string", format: "cas_ref" },
},
additionalProperties: false,
},
},
conditions: { type: "object" },
graph: { type: "object" },
},
additionalProperties: false,
};
export type UwfAgentSchemaHashes = {
workflow: Hash;
startNode: Hash;
stepNode: Hash;
};
/**
* Register Workflow, StartNode, and StepNode JSON Schemas in the CAS store.
* Idempotent: safe to call on every agent invocation.
*/
export async function registerAgentSchemas(store: Store): Promise<UwfAgentSchemaHashes> {
const [workflow, startNode, stepNode] = await Promise.all([
putSchema(store, WORKFLOW),
putSchema(store, START_NODE),
putSchema(store, STEP_NODE),
]);
return { workflow, startNode, stepNode };
}
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import { readFile } from "node:fs/promises";
import { homedir } from "node:os";
import { join } from "node:path";
import type { Store } from "@uncaged/json-cas";
import { createFsStore } from "@uncaged/json-cas-fs";
import type {
AgentAlias,
AgentConfig,
ModelAlias,
ModelConfig,
ProviderAlias,
ProviderConfig,
Scenario,
ThreadId,
ThreadsIndex,
WorkflowConfig,
WorkflowName,
} from "@uncaged/uwf-protocol";
import { parse } from "yaml";
import { registerAgentSchemas } from "./schemas.js";
/** Default filesystem root for uwf data (`~/.uncaged/workflow`). */
export function getDefaultStorageRoot(): string {
return join(homedir(), ".uncaged", "workflow");
}
/**
* Resolve storage root.
* Priority: `UNCAGED_WORKFLOW_STORAGE_ROOT` → `WORKFLOW_STORAGE_ROOT` → default.
*/
export function resolveStorageRoot(): string {
const internal = process.env.UNCAGED_WORKFLOW_STORAGE_ROOT;
if (internal !== undefined && internal !== "") {
return internal;
}
const userOverride = process.env.WORKFLOW_STORAGE_ROOT;
if (userOverride !== undefined && userOverride !== "") {
return userOverride;
}
return getDefaultStorageRoot();
}
export function getCasDir(storageRoot: string): string {
return join(storageRoot, "cas");
}
export function getConfigPath(storageRoot: string): string {
return join(storageRoot, "config.yaml");
}
export function getEnvPath(storageRoot: string): string {
return join(storageRoot, ".env");
}
export function getThreadsPath(storageRoot: string): string {
return join(storageRoot, "threads.yaml");
}
export type AgentStore = {
storageRoot: string;
store: Store;
schemas: Awaited<ReturnType<typeof registerAgentSchemas>>;
};
export async function createAgentStore(storageRoot: string): Promise<AgentStore> {
const store = createFsStore(getCasDir(storageRoot));
const schemas = await registerAgentSchemas(store);
return { storageRoot, store, schemas };
}
function isRecord(value: unknown): value is Record<string, unknown> {
return typeof value === "object" && value !== null && !Array.isArray(value);
}
function normalizeProviders(raw: unknown): Record<ProviderAlias, ProviderConfig> {
if (!isRecord(raw)) {
throw new Error("config.providers must be a mapping");
}
const providers: Record<ProviderAlias, ProviderConfig> = {};
for (const [name, entry] of Object.entries(raw)) {
if (!isRecord(entry)) {
throw new Error(`config.providers.${name} must be a mapping`);
}
const baseUrl = entry.baseUrl;
const apiKeyEnv = entry.apiKeyEnv;
if (typeof baseUrl !== "string" || typeof apiKeyEnv !== "string") {
throw new Error(`config.providers.${name} requires baseUrl and apiKeyEnv`);
}
providers[name] = { baseUrl, apiKeyEnv };
}
return providers;
}
function normalizeModels(raw: unknown): Record<ModelAlias, ModelConfig> {
if (!isRecord(raw)) {
throw new Error("config.models must be a mapping");
}
const models: Record<ModelAlias, ModelConfig> = {};
for (const [name, entry] of Object.entries(raw)) {
if (!isRecord(entry)) {
throw new Error(`config.models.${name} must be a mapping`);
}
const provider = entry.provider;
const modelName = entry.name;
if (typeof provider !== "string" || typeof modelName !== "string") {
throw new Error(`config.models.${name} requires provider and name`);
}
models[name] = { provider, name: modelName };
}
return models;
}
function normalizeAgents(raw: unknown): Record<AgentAlias, AgentConfig> {
if (!isRecord(raw)) {
throw new Error("config.agents must be a mapping");
}
const agents: Record<AgentAlias, AgentConfig> = {};
for (const [name, entry] of Object.entries(raw)) {
if (!isRecord(entry)) {
throw new Error(`config.agents.${name} must be a mapping`);
}
const command = entry.command;
const argsRaw = entry.args;
if (typeof command !== "string") {
throw new Error(`config.agents.${name} requires command`);
}
const args = Array.isArray(argsRaw)
? argsRaw.filter((a): a is string => typeof a === "string")
: [];
agents[name] = { command, args };
}
return agents;
}
function normalizeModelOverrides(raw: unknown): Record<Scenario, ModelAlias> | null {
if (raw === undefined || raw === null) {
return null;
}
if (!isRecord(raw)) {
throw new Error("config.modelOverrides must be a mapping or null");
}
const overrides: Record<Scenario, ModelAlias> = {};
for (const [scene, alias] of Object.entries(raw)) {
if (typeof alias === "string") {
overrides[scene] = alias;
}
}
return overrides;
}
function normalizeAgentOverrides(
raw: unknown,
): Record<WorkflowName, Record<string, AgentAlias>> | null {
if (raw === undefined || raw === null) {
return null;
}
if (!isRecord(raw)) {
throw new Error("config.agentOverrides must be a mapping or null");
}
const overrides: Record<WorkflowName, Record<string, AgentAlias>> = {};
for (const [workflowName, rolesRaw] of Object.entries(raw)) {
if (!isRecord(rolesRaw)) {
continue;
}
const roles: Record<string, AgentAlias> = {};
for (const [roleName, alias] of Object.entries(rolesRaw)) {
if (typeof alias === "string") {
roles[roleName] = alias;
}
}
overrides[workflowName] = roles;
}
return overrides;
}
export function normalizeWorkflowConfig(raw: unknown): WorkflowConfig {
if (!isRecord(raw)) {
throw new Error("config.yaml root must be a mapping");
}
const defaultAgent = raw.defaultAgent;
const defaultModel = raw.defaultModel;
if (typeof defaultAgent !== "string" || typeof defaultModel !== "string") {
throw new Error("config requires defaultAgent and defaultModel");
}
return {
providers: normalizeProviders(raw.providers),
models: normalizeModels(raw.models),
agents: normalizeAgents(raw.agents),
defaultAgent,
agentOverrides: normalizeAgentOverrides(raw.agentOverrides),
defaultModel,
modelOverrides: normalizeModelOverrides(raw.modelOverrides),
};
}
export async function loadWorkflowConfig(storageRoot: string): Promise<WorkflowConfig> {
const path = getConfigPath(storageRoot);
const text = await readFile(path, "utf8");
const raw = parse(text) as unknown;
return normalizeWorkflowConfig(raw);
}
export async function loadThreadsIndex(storageRoot: string): Promise<ThreadsIndex> {
const path = getThreadsPath(storageRoot);
try {
const text = await readFile(path, "utf8");
const raw = parse(text) as unknown;
if (!isRecord(raw)) {
return {};
}
const index: ThreadsIndex = {};
for (const [threadId, head] of Object.entries(raw)) {
if (typeof head === "string") {
index[threadId as ThreadId] = head;
}
}
return index;
} catch (e) {
const err = e as NodeJS.ErrnoException;
if (err.code === "ENOENT") {
return {};
}
throw e;
}
}
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import type { StepContext, ThreadId, WorkflowPayload } from "@uncaged/uwf-protocol";
export type AgentContext = {
threadId: ThreadId;
role: string;
systemPrompt: string;
prompt: string;
history: StepContext[];
workflow: WorkflowPayload;
};
export type AgentRunFn = (ctx: AgentContext) => Promise<string>;
export type AgentOptions = {
name: string;
run: AgentRunFn;
};
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{
"extends": "../../tsconfig.json",
"compilerOptions": {
"rootDir": "src",
"outDir": "dist"
},
"include": ["src"],
"references": [{ "path": "../uwf-protocol" }]
}