refactor(agent): finalize harness resource config
This commit is contained in:
@@ -4,6 +4,20 @@
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This document describes the current direction and implemented behavior. Some extension/session-facade details are planned and called out explicitly.
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## Ultimate lifecycle goal
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Harness listeners and hooks should be able to close over the `AgentHarness` instance and call public harness APIs from any event where those APIs are documented as allowed. Those calls must not corrupt in-flight turn snapshots, reorder persisted transcript entries, lose pending writes, deadlock settlement, or leave the harness in the wrong phase.
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The intended rule is:
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- structural operations remain rejected while busy
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- queue operations are accepted at documented turn-safe points
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- runtime config setters update future snapshots without mutating the current provider request
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- session writes made while busy are durably queued and flushed in deterministic order
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- getters return latest harness config, not in-flight snapshots
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A final lifecycle hardening pass should prove these guarantees with a broad listener/hook reentrancy test suite.
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## State model
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The harness separates state into four categories.
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@@ -23,7 +37,7 @@ Getters return harness config. They do not return the snapshot used by an in-fli
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Setters update harness config immediately, including while a turn is in flight. Changes affect the next turn snapshot, not the currently running provider request.
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`setResources()` accepts concrete resources and emits `resources_update` with shallow-copied resources. Applications own loading/reloading resources from disk or other sources and should call `setResources()` with new values.
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`setResources()` accepts concrete resources and emits `resources_update` on every call with shallow-copied current and previous resources. Applications own loading/reloading resources from disk or other sources and should call `setResources()` with new values.
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`getResources()` returns shallow-copied current resources. It is a live config read, not the last turn snapshot.
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@@ -173,3 +187,18 @@ They are allowed only while idle and are not queued. They operate on persisted s
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Branch summary generation is part of the tree navigation operation.
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Auto-compaction and retry decision points are not implemented in `AgentHarness` yet.
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## Final lifecycle hardening todo
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Before treating `AgentHarness` as migration-ready, add a broad test suite that exercises listeners and hooks closing over the harness and calling public APIs during every relevant event:
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- runtime config setters from low-level lifecycle events and harness events
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- resource/tool/model/thinking updates during active turns and save points
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- session writes from listeners and hooks, including writes from `settled`
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- queue operations from turn events, tool events, and provider hooks
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- rejected structural operations while busy
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- abort from listeners/hooks
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- getter behavior during active operations
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- deterministic ordering of agent-emitted messages and pending listener writes
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- no deadlocks when async listeners call harness APIs and await them
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- phase cleanup through success, provider error, hook error, abort, compaction, and tree navigation
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@@ -17,7 +17,9 @@ import type {
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ExecutionEnv,
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NavigateTreeResult,
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PendingSessionWrite,
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PromptTemplate,
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Session,
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Skill,
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} from "./types.js";
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function createUserMessage(text: string, images?: ImageContent[]): UserMessage {
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@@ -26,7 +28,11 @@ function createUserMessage(text: string, images?: ImageContent[]): UserMessage {
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return { role: "user", content, timestamp: Date.now() };
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}
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export class AgentHarness {
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export class AgentHarness<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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TTool extends AgentTool = AgentTool,
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> {
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readonly agent: Agent;
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readonly env: ExecutionEnv;
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private session: Session;
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@@ -38,14 +44,16 @@ export class AgentHarness {
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private steerQueue: UserMessage[] = [];
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private followUpQueue: UserMessage[] = [];
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private pendingSessionWrites: PendingSessionWrite[] = [];
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private resources: AgentHarnessResources;
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private systemPrompt: AgentHarnessOptions["systemPrompt"];
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private resources: AgentHarnessResources<TSkill, TPromptTemplate>;
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private systemPrompt: AgentHarnessOptions<TSkill, TPromptTemplate, TTool>["systemPrompt"];
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private getApiKeyAndHeaders?: AgentHarnessOptions["getApiKeyAndHeaders"];
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private tools = new Map<string, AgentTool>();
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private listeners = new Set<(event: AgentHarnessEvent, signal?: AbortSignal) => Promise<void> | void>();
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private tools = new Map<string, TTool>();
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private listeners = new Set<
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(event: AgentHarnessEvent<TSkill, TPromptTemplate>, signal?: AbortSignal) => Promise<void> | void
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>();
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private hooks = new Map<keyof AgentHarnessEventResultMap, Set<(event: any) => Promise<any> | any>>();
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constructor(options: AgentHarnessOptions) {
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constructor(options: AgentHarnessOptions<TSkill, TPromptTemplate, TTool>) {
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this.agent = new Agent({
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initialState: {
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model: options.model,
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@@ -60,12 +68,12 @@ export class AgentHarness {
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this.resources = options.resources ?? {};
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this.systemPrompt = options.systemPrompt;
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this.getApiKeyAndHeaders = options.getApiKeyAndHeaders;
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for (const tool of this.agent.state.tools) {
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for (const tool of options.tools ?? []) {
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this.tools.set(tool.name, tool);
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}
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this.model = options.model;
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this.thinkingLevel = options.thinkingLevel ?? this.agent.state.thinkingLevel;
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this.activeToolNames = options.activeToolNames ?? this.agent.state.tools.map((tool) => tool.name);
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this.activeToolNames = options.activeToolNames ?? (options.tools ?? []).map((tool) => tool.name);
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this.agent.state.model = this.model;
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this.agent.state.thinkingLevel = this.thinkingLevel;
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this.agent.getApiKey = async (provider) => {
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@@ -127,13 +135,13 @@ export class AgentHarness {
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});
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}
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private async emitOwn(event: AgentHarnessOwnEvent, signal?: AbortSignal): Promise<void> {
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private async emitOwn(event: AgentHarnessOwnEvent<TSkill, TPromptTemplate>, signal?: AbortSignal): Promise<void> {
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for (const listener of this.listeners) {
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await listener(event, signal);
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}
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}
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private async emitAny(event: AgentHarnessEvent, signal?: AbortSignal): Promise<void> {
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private async emitAny(event: AgentHarnessEvent<TSkill, TPromptTemplate>, signal?: AbortSignal): Promise<void> {
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for (const listener of this.listeners) {
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await listener(event, signal);
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}
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@@ -163,13 +171,13 @@ export class AgentHarness {
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});
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}
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private async createTurnState(): Promise<AgentHarnessTurnState> {
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private async createTurnState(): Promise<AgentHarnessTurnState<TSkill, TPromptTemplate, TTool>> {
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const context = await this.session.buildContext();
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const resources = this.getResources();
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const tools = [...this.tools.values()];
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const activeTools = this.activeToolNames
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.map((name) => this.tools.get(name))
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.filter((tool): tool is AgentTool => tool !== undefined);
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.filter((tool): tool is TTool => tool !== undefined);
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let systemPrompt = "You are a helpful assistant.";
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if (typeof this.systemPrompt === "string") {
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systemPrompt = this.systemPrompt;
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@@ -194,7 +202,7 @@ export class AgentHarness {
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};
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}
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private applyTurnState(turnState: AgentHarnessTurnState): void {
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private applyTurnState(turnState: AgentHarnessTurnState<TSkill, TPromptTemplate, TTool>): void {
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this.agent.state.messages = turnState.messages;
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this.agent.state.systemPrompt = turnState.systemPrompt;
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this.agent.state.model = turnState.model;
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@@ -263,7 +271,7 @@ export class AgentHarness {
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}
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private async executeTurn(
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turnState: AgentHarnessTurnState,
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turnState: AgentHarnessTurnState<TSkill, TPromptTemplate, TTool>,
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text: string,
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options?: { images?: ImageContent[] },
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): Promise<AssistantMessage> {
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@@ -578,22 +586,23 @@ export class AgentHarness {
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this.agent.followUpMode = mode;
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}
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getResources(): AgentHarnessResources {
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getResources(): AgentHarnessResources<TSkill, TPromptTemplate> {
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return {
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skills: this.resources.skills?.slice(),
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promptTemplates: this.resources.promptTemplates?.slice(),
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};
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}
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async setResources(resources: AgentHarnessResources): Promise<void> {
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async setResources(resources: AgentHarnessResources<TSkill, TPromptTemplate>): Promise<void> {
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const previousResources = this.getResources();
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this.resources = {
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skills: resources.skills?.slice(),
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promptTemplates: resources.promptTemplates?.slice(),
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};
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await this.emitOwn({ type: "resources_update", resources: this.getResources() });
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await this.emitOwn({ type: "resources_update", resources: this.getResources(), previousResources });
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}
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async setTools(tools: AgentTool[], activeToolNames?: string[]): Promise<void> {
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async setTools(tools: TTool[], activeToolNames?: string[]): Promise<void> {
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this.tools = new Map(tools.map((tool) => [tool.name, tool]));
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if (activeToolNames) {
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this.validateToolNames(activeToolNames);
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@@ -623,7 +632,9 @@ export class AgentHarness {
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await this.agent.waitForIdle();
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}
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subscribe(listener: (event: AgentHarnessEvent, signal?: AbortSignal) => Promise<void> | void): () => void {
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subscribe(
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listener: (event: AgentHarnessEvent<TSkill, TPromptTemplate>, signal?: AbortSignal) => Promise<void> | void,
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): () => void {
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this.listeners.add(listener);
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return () => this.listeners.delete(listener);
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}
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@@ -1,13 +0,0 @@
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import { AgentHarness } from "./agent-harness.js";
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import { Session } from "./session/session.js";
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import type { AgentHarnessOptions, SessionMetadata, SessionStorage } from "./types.js";
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export function createSession<TMetadata extends SessionMetadata>(
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storage: SessionStorage<TMetadata>,
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): Session<TMetadata> {
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return new Session(storage);
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}
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export function createAgentHarness(options: AgentHarnessOptions): AgentHarness {
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return new AgentHarness(options);
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}
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@@ -52,19 +52,26 @@ export async function loadPromptTemplates(
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* Source values are preserved exactly and attached to every loaded prompt template and diagnostic. The agent package does
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* not interpret source values; applications define their own provenance shape.
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*/
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export async function loadSourcedPromptTemplates<TSource>(
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export async function loadSourcedPromptTemplates<TSource, TPromptTemplate extends PromptTemplate = PromptTemplate>(
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env: ExecutionEnv,
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inputs: Array<{ path: string; source: TSource }>,
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mapPromptTemplate?: (promptTemplate: PromptTemplate, source: TSource) => TPromptTemplate,
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): Promise<{
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promptTemplates: Array<{ promptTemplate: PromptTemplate; source: TSource }>;
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promptTemplates: Array<{ promptTemplate: TPromptTemplate; source: TSource }>;
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diagnostics: Array<PromptTemplateDiagnostic & { source: TSource }>;
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}> {
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const promptTemplates: Array<{ promptTemplate: PromptTemplate; source: TSource }> = [];
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const promptTemplates: Array<{ promptTemplate: TPromptTemplate; source: TSource }> = [];
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const diagnostics: Array<PromptTemplateDiagnostic & { source: TSource }> = [];
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for (const input of inputs) {
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const result = await loadPromptTemplates(env, input.path);
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for (const promptTemplate of result.promptTemplates)
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promptTemplates.push({ promptTemplate, source: input.source });
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for (const promptTemplate of result.promptTemplates) {
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promptTemplates.push({
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promptTemplate: mapPromptTemplate
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? mapPromptTemplate(promptTemplate, input.source)
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: (promptTemplate as TPromptTemplate),
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source: input.source,
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});
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}
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for (const diagnostic of result.diagnostics) diagnostics.push({ ...diagnostic, source: input.source });
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}
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return { promptTemplates, diagnostics };
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@@ -59,18 +59,21 @@ export async function loadSkills(
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* Source values are preserved exactly and attached to every loaded skill and diagnostic. The agent package does not
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* interpret source values; applications define their own provenance shape.
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*/
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export async function loadSourcedSkills<TSource>(
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export async function loadSourcedSkills<TSource, TSkill extends Skill = Skill>(
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env: ExecutionEnv,
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inputs: Array<{ path: string; source: TSource }>,
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mapSkill?: (skill: Skill, source: TSource) => TSkill,
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): Promise<{
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skills: Array<{ skill: Skill; source: TSource }>;
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skills: Array<{ skill: TSkill; source: TSource }>;
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diagnostics: Array<SkillDiagnostic & { source: TSource }>;
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}> {
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const skills: Array<{ skill: Skill; source: TSource }> = [];
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const skills: Array<{ skill: TSkill; source: TSource }> = [];
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const diagnostics: Array<SkillDiagnostic & { source: TSource }> = [];
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for (const input of inputs) {
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const result = await loadSkills(env, input.path);
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for (const skill of result.skills) skills.push({ skill, source: input.source });
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for (const skill of result.skills) {
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skills.push({ skill: mapSkill ? mapSkill(skill, input.source) : (skill as TSkill), source: input.source });
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}
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for (const diagnostic of result.diagnostics) diagnostics.push({ ...diagnostic, source: input.source });
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}
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return { skills, diagnostics };
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@@ -33,11 +33,14 @@ export interface PromptTemplate {
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}
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/** Resources made available to explicit invocation methods and system-prompt callbacks. */
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export interface AgentHarnessResources {
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export interface AgentHarnessResources<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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> {
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/** Prompt templates available for explicit invocation. */
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promptTemplates?: PromptTemplate[];
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promptTemplates?: TPromptTemplate[];
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/** Skills available to the model and explicit skill invocation. */
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skills?: Skill[];
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skills?: TSkill[];
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}
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/** Kind of filesystem object as addressed by an {@link ExecutionEnv}. Symlinks are not followed automatically. */
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@@ -295,14 +298,18 @@ export type PendingSessionWrite = SessionTreeEntry extends infer TEntry
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: never
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: never;
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export interface AgentHarnessTurnState {
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export interface AgentHarnessTurnState<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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TTool extends AgentTool = AgentTool,
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> {
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messages: AgentMessage[];
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resources: AgentHarnessResources;
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resources: AgentHarnessResources<TSkill, TPromptTemplate>;
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systemPrompt: string;
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model: Model<any>;
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thinkingLevel: ThinkingLevel;
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tools: AgentTool[];
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activeTools: AgentTool[];
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tools: TTool[];
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activeTools: TTool[];
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}
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export interface QueueUpdateEvent {
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@@ -328,12 +335,15 @@ export interface SettledEvent {
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nextTurnCount: number;
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}
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export interface BeforeAgentStartEvent {
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export interface BeforeAgentStartEvent<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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> {
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type: "before_agent_start";
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prompt: string;
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images?: ImageContent[];
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systemPrompt: string;
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resources: AgentHarnessResources;
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resources: AgentHarnessResources<TSkill, TPromptTemplate>;
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}
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export interface ContextEvent {
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@@ -410,17 +420,24 @@ export interface ThinkingLevelSelectEvent {
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previousLevel: ThinkingLevel;
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}
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export interface ResourcesUpdateEvent {
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export interface ResourcesUpdateEvent<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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> {
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type: "resources_update";
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resources: AgentHarnessResources;
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resources: AgentHarnessResources<TSkill, TPromptTemplate>;
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previousResources: AgentHarnessResources<TSkill, TPromptTemplate>;
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}
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export type AgentHarnessOwnEvent =
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export type AgentHarnessOwnEvent<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
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> =
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| QueueUpdateEvent
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| SavePointEvent
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| AbortEvent
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| SettledEvent
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| BeforeAgentStartEvent
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| BeforeAgentStartEvent<TSkill, TPromptTemplate>
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| ContextEvent
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| BeforeProviderRequestEvent
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| AfterProviderResponseEvent
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@@ -432,9 +449,11 @@ export type AgentHarnessOwnEvent =
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| SessionTreeEvent
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| ModelSelectEvent
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| ThinkingLevelSelectEvent
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| ResourcesUpdateEvent;
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| ResourcesUpdateEvent<TSkill, TPromptTemplate>;
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export type AgentHarnessEvent = AgentEvent | AgentHarnessOwnEvent;
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export type AgentHarnessEvent<TSkill extends Skill = Skill, TPromptTemplate extends PromptTemplate = PromptTemplate> =
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| AgentEvent
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| AgentHarnessOwnEvent<TSkill, TPromptTemplate>;
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export interface BeforeAgentStartResult {
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messages?: AgentMessage[];
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@@ -568,15 +587,19 @@ export interface BranchSummaryResult {
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error?: string;
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}
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export interface AgentHarnessOptions {
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export interface AgentHarnessOptions<
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TSkill extends Skill = Skill,
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TPromptTemplate extends PromptTemplate = PromptTemplate,
|
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TTool extends AgentTool = AgentTool,
|
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> {
|
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env: ExecutionEnv;
|
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session: Session;
|
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tools?: AgentTool[];
|
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tools?: TTool[];
|
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/**
|
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* Concrete resources available to explicit invocation methods and system-prompt callbacks.
|
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* Applications own loading/reloading resources and should call `setResources()` with new values.
|
||||
*/
|
||||
resources?: AgentHarnessResources;
|
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resources?: AgentHarnessResources<TSkill, TPromptTemplate>;
|
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systemPrompt?:
|
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| string
|
||||
| ((context: {
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@@ -584,8 +607,8 @@ export interface AgentHarnessOptions {
|
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session: Session;
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model: Model<any>;
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thinkingLevel: ThinkingLevel;
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activeTools: AgentTool[];
|
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resources: AgentHarnessResources;
|
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activeTools: TTool[];
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resources: AgentHarnessResources<TSkill, TPromptTemplate>;
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}) => string | Promise<string>);
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getApiKeyAndHeaders?: (
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model: Model<any>,
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||||
@@ -23,7 +23,6 @@ export {
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shouldCompact,
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} from "./harness/compaction/compaction.js";
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export * from "./harness/execution-env.js";
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export * from "./harness/factory.js";
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export * from "./harness/messages.js";
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export * from "./harness/prompt-templates.js";
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export * from "./harness/session/repo/jsonl.js";
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|
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82
packages/agent/test/harness/agent-harness.test.ts
Normal file
82
packages/agent/test/harness/agent-harness.test.ts
Normal file
@@ -0,0 +1,82 @@
|
||||
import { getModel } from "@earendil-works/pi-ai";
|
||||
import { describe, expect, it } from "vitest";
|
||||
import { AgentHarness } from "../../src/harness/agent-harness.js";
|
||||
import { NodeExecutionEnv } from "../../src/harness/execution-env.js";
|
||||
import { Session } from "../../src/harness/session/session.js";
|
||||
import { InMemorySessionStorage } from "../../src/harness/session/storage/memory.js";
|
||||
import type { PromptTemplate, Skill } from "../../src/harness/types.js";
|
||||
import type { AgentTool } from "../../src/types.js";
|
||||
|
||||
interface AppSkill extends Skill {
|
||||
source: "project" | "user";
|
||||
}
|
||||
|
||||
interface AppPromptTemplate extends PromptTemplate {
|
||||
source: "project" | "user";
|
||||
}
|
||||
|
||||
interface AppTool extends AgentTool {
|
||||
source: "builtin" | "extension";
|
||||
}
|
||||
|
||||
describe("AgentHarness", () => {
|
||||
it("constructs directly and exposes queue modes", () => {
|
||||
const session = new Session(new InMemorySessionStorage());
|
||||
const env = new NodeExecutionEnv({ cwd: process.cwd() });
|
||||
const initialModel = getModel("anthropic", "claude-sonnet-4-5");
|
||||
const harness = new AgentHarness({
|
||||
env,
|
||||
session,
|
||||
model: initialModel,
|
||||
systemPrompt: "You are helpful.",
|
||||
steeringMode: "all",
|
||||
followUpMode: "all",
|
||||
});
|
||||
expect(harness.env).toBe(env);
|
||||
expect(harness.agent.state.model).toBe(initialModel);
|
||||
expect(harness.steeringMode).toBe("all");
|
||||
expect(harness.followUpMode).toBe("all");
|
||||
harness.steeringMode = "one-at-a-time";
|
||||
harness.followUpMode = "one-at-a-time";
|
||||
expect(harness.agent.steeringMode).toBe("one-at-a-time");
|
||||
expect(harness.agent.followUpMode).toBe("one-at-a-time");
|
||||
});
|
||||
|
||||
it("preserves app resource types for getters and update events", async () => {
|
||||
const session = new Session(new InMemorySessionStorage());
|
||||
const env = new NodeExecutionEnv({ cwd: process.cwd() });
|
||||
const model = getModel("anthropic", "claude-sonnet-4-5");
|
||||
const harness = new AgentHarness<AppSkill, AppPromptTemplate, AppTool>({ env, session, model });
|
||||
const skill: AppSkill = {
|
||||
name: "inspect",
|
||||
description: "Inspect things",
|
||||
content: "Use inspection tools.",
|
||||
filePath: "/skills/inspect/SKILL.md",
|
||||
source: "project",
|
||||
};
|
||||
const promptTemplate: AppPromptTemplate = { name: "review", content: "Review $1", source: "user" };
|
||||
const resources = { skills: [skill], promptTemplates: [promptTemplate] };
|
||||
const updates: Array<{ resourcesSource?: string; previousSource?: string }> = [];
|
||||
harness.subscribe((event) => {
|
||||
if (event.type === "resources_update") {
|
||||
updates.push({
|
||||
resourcesSource: event.resources.skills?.[0]?.source,
|
||||
previousSource: event.previousResources.skills?.[0]?.source,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
await harness.setResources(resources);
|
||||
await harness.setResources(resources);
|
||||
const resolved = harness.getResources();
|
||||
|
||||
expect(updates).toEqual([
|
||||
{ resourcesSource: "project", previousSource: undefined },
|
||||
{ resourcesSource: "project", previousSource: "project" },
|
||||
]);
|
||||
expect(resolved.skills?.[0]?.source).toBe("project");
|
||||
expect(resolved.promptTemplates?.[0]?.source).toBe("user");
|
||||
expect(resolved.skills).not.toBe(resources.skills);
|
||||
expect(resolved.promptTemplates).not.toBe(resources.promptTemplates);
|
||||
});
|
||||
});
|
||||
@@ -1,64 +0,0 @@
|
||||
import { getModel } from "@earendil-works/pi-ai";
|
||||
import { describe, expect, it } from "vitest";
|
||||
import { NodeExecutionEnv } from "../../src/harness/execution-env.js";
|
||||
import { createAgentHarness, createSession } from "../../src/harness/factory.js";
|
||||
import { InMemorySessionStorage } from "../../src/harness/session/storage/memory.js";
|
||||
|
||||
describe("harness factories", () => {
|
||||
it("creates sessions from storage", async () => {
|
||||
const storage = new InMemorySessionStorage({
|
||||
metadata: { id: "session-1", createdAt: "2026-01-01T00:00:00.000Z" },
|
||||
});
|
||||
const session = createSession(storage);
|
||||
expect(session.getStorage()).toBe(storage);
|
||||
expect(await session.getMetadata()).toEqual({ id: "session-1", createdAt: "2026-01-01T00:00:00.000Z" });
|
||||
});
|
||||
|
||||
it("creates agent harnesses", () => {
|
||||
const session = createSession(new InMemorySessionStorage());
|
||||
const env = new NodeExecutionEnv({ cwd: process.cwd() });
|
||||
const initialModel = getModel("anthropic", "claude-sonnet-4-5");
|
||||
const harness = createAgentHarness({
|
||||
env,
|
||||
session,
|
||||
model: initialModel,
|
||||
systemPrompt: "You are helpful.",
|
||||
steeringMode: "all",
|
||||
followUpMode: "all",
|
||||
});
|
||||
expect(harness.env).toBe(env);
|
||||
expect(harness.agent.state.model).toBe(initialModel);
|
||||
expect(harness.steeringMode).toBe("all");
|
||||
expect(harness.followUpMode).toBe("all");
|
||||
harness.steeringMode = "one-at-a-time";
|
||||
harness.followUpMode = "one-at-a-time";
|
||||
expect(harness.agent.steeringMode).toBe("one-at-a-time");
|
||||
expect(harness.agent.followUpMode).toBe("one-at-a-time");
|
||||
});
|
||||
|
||||
it("updates and reads concrete resources", async () => {
|
||||
const session = createSession(new InMemorySessionStorage());
|
||||
const env = new NodeExecutionEnv({ cwd: process.cwd() });
|
||||
const model = getModel("anthropic", "claude-sonnet-4-5");
|
||||
const harness = createAgentHarness({ env, session, model });
|
||||
const skill = {
|
||||
name: "inspect",
|
||||
description: "Inspect things",
|
||||
content: "Use inspection tools.",
|
||||
filePath: "/skills/inspect/SKILL.md",
|
||||
};
|
||||
const resources = { skills: [skill], promptTemplates: [{ name: "review", content: "Review $1" }] };
|
||||
const updates: unknown[] = [];
|
||||
harness.subscribe((event) => {
|
||||
if (event.type === "resources_update") updates.push(event.resources);
|
||||
});
|
||||
|
||||
await harness.setResources(resources);
|
||||
const resolved = harness.getResources();
|
||||
|
||||
expect(updates).toEqual([resources]);
|
||||
expect(resolved).toEqual(resources);
|
||||
expect(resolved.skills).not.toBe(resources.skills);
|
||||
expect(resolved.promptTemplates).not.toBe(resources.promptTemplates);
|
||||
});
|
||||
});
|
||||
@@ -3,30 +3,39 @@ import { join } from "node:path";
|
||||
import { getModel } from "@earendil-works/pi-ai";
|
||||
import { InMemorySessionStorage } from "../../src/harness/session/storage/memory.js";
|
||||
import {
|
||||
createAgentHarness,
|
||||
AgentHarness,
|
||||
formatSkillsForSystemPrompt,
|
||||
loadSourcedPromptTemplates,
|
||||
loadSourcedSkills,
|
||||
NodeExecutionEnv,
|
||||
type PromptTemplate,
|
||||
Session,
|
||||
type Skill,
|
||||
} from "../../src/index.js";
|
||||
|
||||
type Source = { type: "project" | "user" | "path"; dir: string };
|
||||
type SourcedSkill = Skill & { source: Source };
|
||||
type SourcedPromptTemplate = PromptTemplate & { source: Source };
|
||||
|
||||
const env = new NodeExecutionEnv({ cwd: process.cwd() });
|
||||
const source = (type: Source["type"], dir: string) => ({ path: dir, source: { type, dir } });
|
||||
const { skills: sourcedSkills } = await loadSourcedSkills<Source>(env, [
|
||||
source("project", join(env.cwd, ".pi/skills")),
|
||||
source("user", join(homedir(), ".pi/agent/skills")),
|
||||
source("path", join(env.cwd, "../../../pi-skills")),
|
||||
]);
|
||||
const { promptTemplates: sourcedPromptTemplates } = await loadSourcedPromptTemplates<Source>(env, [
|
||||
source("project", join(env.cwd, ".pi/prompts")),
|
||||
source("user", join(homedir(), ".pi/agent/prompts")),
|
||||
]);
|
||||
const { skills: sourcedSkills } = await loadSourcedSkills<Source, SourcedSkill>(
|
||||
env,
|
||||
[
|
||||
source("project", join(env.cwd, ".pi/skills")),
|
||||
source("user", join(homedir(), ".pi/agent/skills")),
|
||||
source("path", join(env.cwd, "../../../pi-skills")),
|
||||
],
|
||||
(skill, source) => ({ ...skill, source }),
|
||||
);
|
||||
const { promptTemplates: sourcedPromptTemplates } = await loadSourcedPromptTemplates<Source, SourcedPromptTemplate>(
|
||||
env,
|
||||
[source("project", join(env.cwd, ".pi/prompts")), source("user", join(homedir(), ".pi/agent/prompts"))],
|
||||
(promptTemplate, source) => ({ ...promptTemplate, source }),
|
||||
);
|
||||
|
||||
const session = new Session(new InMemorySessionStorage());
|
||||
const agent = createAgentHarness({
|
||||
const agent = new AgentHarness({
|
||||
env,
|
||||
session,
|
||||
model: getModel("openai", "gpt-5.5"),
|
||||
|
||||
Reference in New Issue
Block a user