docs(agent): document harness resource types
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@@ -2,22 +2,35 @@ import type { ImageContent, Model, TextContent } from "@mariozechner/pi-ai";
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import type { AgentEvent, AgentMessage, AgentTool, ThinkingLevel } from "../index.js";
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import type { Session } from "./session/session.js";
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/** Model-visible skill loaded from a `SKILL.md` file or provided by an application. */
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export interface Skill {
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/** Skill command name. */
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name: string;
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/** Short model-visible description of when to use the skill. */
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description: string;
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/** Full skill instructions. */
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content: string;
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/** Absolute path to the skill file. Used for model-visible location and resolving relative references. */
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filePath: string;
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/** Exclude this skill from model-visible skill lists while still allowing explicit application invocation. */
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disableModelInvocation?: boolean;
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}
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/** Prompt template that can expand slash-command text before a prompt is sent. */
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export interface PromptTemplate {
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/** Slash-command name without the leading `/`. */
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name: string;
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/** Optional description for command lists or autocomplete. */
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description?: string;
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/** Template content. Argument placeholders are expanded by `expandPromptTemplate`. */
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content: string;
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}
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/** Resources made available to harness prompt expansion and system-prompt callbacks. */
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export interface AgentHarnessResources {
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/** Prompt templates used to expand `/template args` input. */
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promptTemplates?: PromptTemplate[];
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/** Skills available to the model and explicit skill invocation. */
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skills?: Skill[];
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}
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@@ -31,19 +31,17 @@ const agent = createAgentHarness({
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session,
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model: getModel("openai", "gpt-5.5"),
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thinkingLevel: "low",
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systemPrompt: ({ env, resources }) => {
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console.log("Building system prompt");
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return [
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`You are a helpful assistant.`,
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systemPrompt: ({ env, resources }) =>
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[
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"You are a helpful assistant.",
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formatSkillsForSystemPrompt(resources.skills ?? []),
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`Current working directory: ${env.cwd}`,
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]
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.filter((part) => part.length > 0)
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.join("\n\n");
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},
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.join("\n\n"),
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resources: {
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promptTemplates: sourcedPromptTemplates.map((entry) => entry.promptTemplate),
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skills: sourcedSkills.map((entry) => entry.skill),
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promptTemplates: sourcedPromptTemplates.map(({ promptTemplate }) => promptTemplate),
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skills: sourcedSkills.map(({ skill }) => skill),
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},
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});
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