refactor: replace personified workflow labels
This commit is contained in:
+6
-6
@@ -1,6 +1,6 @@
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You are the Grow Agent — a unified AI orchestrator for the GrowQR platform.
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You are Grow — a unified AI career assistant for the GrowQR platform.
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You coordinate sub-agent capabilities (loaded as tools), maintain durable state, and execute workflows through microservices.
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You coordinate specialist capabilities (loaded as tools), maintain durable state, and execute workflows through microservices.
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## CRITICAL RULES
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@@ -43,7 +43,7 @@ You coordinate sub-agent capabilities (loaded as tools), maintain durable state,
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- After resume optimization: ask what type of interview to prepare.
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- When they choose type → call start_interview_session.
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- Then offer roleplay → call start_roleplay_session when they confirm.
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- Then offer Q-Score → call compute_qscore.
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- Then offer Q Score → call compute_qscore.
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- Use [WORKFLOW: interview-to-offer] tag throughout.
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## IMPORTANT: Tool Calling Anti-Patterns
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@@ -66,16 +66,16 @@ Assistant: "I'll analyze your resume right away."
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User: "analyze my resume"
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Assistant calls analyze_resume → "Here's your analysis: [results]. Your strengths are..."
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## Sub-Agent Capabilities
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## Specialist Capabilities
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{{MODULE_DESCRIPTIONS}}
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## Workflow Tags (put at the VERY END, on their own line)
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- [WORKFLOW: interview-to-offer] — full interview prep pipeline
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- [WORKFLOW: interview-practice] — interview sessions with the Interview Agent
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- [WORKFLOW: interview-practice] — mock interview sessions
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- [WORKFLOW: resume-boost] — resume analysis and optimization
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- [WORKFLOW: roleplay-practice] — roleplay sessions with Roleplay Agent
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- [WORKFLOW: roleplay-practice] — mock roleplay sessions
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- [WORKFLOW: career-switch] — career change navigation
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- [WORKFLOW: job-preparation] — broad company preparation
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+22
-22
@@ -189,7 +189,7 @@ function buildUnifiedTools(): Array<{
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type: "function" as const,
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function: {
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name: "start_interview_session",
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description: "Create a real interview practice session via the Interview Agent / interview-service microservice.",
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description: "Create a real mock interview session via the interview-service microservice.",
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parameters: {
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type: "object",
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properties: { goal: { type: "string" } },
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@@ -201,7 +201,7 @@ function buildUnifiedTools(): Array<{
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type: "function" as const,
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function: {
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name: "start_roleplay_session",
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description: "Create a real roleplay practice session via the Roleplay Agent / roleplay-service microservice.",
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description: "Create a real mock roleplay session via the roleplay-service microservice.",
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parameters: {
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type: "object",
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properties: { goal: { type: "string" } },
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@@ -213,7 +213,7 @@ function buildUnifiedTools(): Array<{
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type: "function" as const,
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function: {
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name: "compute_qscore",
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description: "Compute or refresh the user's Q-Score via the Q Score Agent / qscore-service microservice.",
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description: "Compute or refresh the user's Q Score via the qscore-service microservice.",
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parameters: {
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type: "object",
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properties: {},
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@@ -225,7 +225,7 @@ function buildUnifiedTools(): Array<{
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type: "function" as const,
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function: {
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name: "analyze_resume",
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description: "Analyze the user's resume using the Resume Agent microservice. Returns completeness score, skill gaps, and optimization recommendations.",
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description: "Analyze the user's resume using the Resume Building microservice. Returns completeness score, skill gaps, and optimization recommendations.",
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parameters: {
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type: "object",
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properties: {
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@@ -253,7 +253,7 @@ function buildUnifiedTools(): Array<{
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type: "function" as const,
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function: {
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name: "start_interview_to_offer",
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description: "Start the Interview-to-Offer Accelerator workflow. This is a guided end-to-end pipeline: (1) Analyze & tailor resume for the role, (2) Create interview practice session with the Interview Agent, (3) Create roleplay session with Roleplay Agent, (4) Compute Q-Score readiness. Use this when the user has a specific interview scheduled and wants comprehensive preparation.",
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description: "Start the Interview-to-Offer Accelerator workflow. This is a guided end-to-end pipeline: (1) Analyze and tailor the resume for the role, (2) Create mock interview practice, (3) Create mock roleplay practice, (4) Compute Q Score readiness. Use this when the user has a specific interview scheduled and wants comprehensive preparation.",
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parameters: {
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type: "object",
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properties: {
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@@ -563,7 +563,7 @@ export const userActor = actor({
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appendTimelineEvent(
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c.state,
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{ id: "grow", name: "Grow Agent" },
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{ id: "grow", name: "Grow" },
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"workflow",
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`${getWorkflowDefinition(workflowId)?.title ?? "Workflow"} started.`,
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);
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@@ -581,14 +581,14 @@ export const userActor = actor({
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pauseWorkflow: async (c) => {
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c.state.workflowStatus = "paused";
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appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow paused.");
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appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow paused.");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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return c.state;
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},
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resumeWorkflow: async (c) => {
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c.state.workflowStatus = "running";
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appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow resumed.");
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appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow resumed.");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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return c.state;
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},
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@@ -753,7 +753,7 @@ async function dispatchUnifiedTool(
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c.state.modules = makeModules();
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c.state.createdAt = now();
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c.state.updatedAt = now();
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appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow started via LLM tool.");
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appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow started via LLM tool.");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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return { ok: true, workflowId: c.state.workflowId, goal };
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}
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@@ -799,7 +799,7 @@ async function dispatchUnifiedTool(
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case "start_roleplay_session": {
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const goal = String(input.goal ?? "");
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const roleplayModule = getSubAgentModule("roleplay");
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if (!roleplayModule?.service) return { ok: false, error: "Roleplay Agent module not available" };
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if (!roleplayModule?.service) return { ok: false, error: "Mock Roleplay module not available" };
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const result = await runServiceAgentProbe(
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{ id: roleplayModule.id, name: roleplayModule.name, role: roleplayModule.role, kind: "microservice", description: roleplayModule.description, service: roleplayModule.service },
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{ userId, goal },
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@@ -855,14 +855,14 @@ async function dispatchUnifiedTool(
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c.state.createdAt = now();
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c.state.updatedAt = now();
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appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", `Interview-to-Offer workflow started for: ${goal}`);
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appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", `Interview-to-Offer workflow started for: ${goal}`);
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// Step 1: Resume Agent — analyze and tailor
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// Step 1: Resume Building — analyze and tailor
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const resumeModule = getSubAgentModule("resume");
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const resumeMod = c.state.modules.find(m => m.id === "resume");
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if (resumeMod && resumeModule) {
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resumeMod.status = "running";
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appendTimelineEvent(c.state, resumeMod, "module", "Resume Agent analyzing your profile...");
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appendTimelineEvent(c.state, resumeMod, "module", "Resume Building is analyzing your profile...");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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try {
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@@ -875,18 +875,18 @@ async function dispatchUnifiedTool(
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appendTimelineEvent(c.state, resumeMod, "module", resumeResult.summary);
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} catch (err) {
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resumeMod.status = "blocked";
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appendTimelineEvent(c.state, resumeMod, "module", `Resume Agent failed: ${err instanceof Error ? err.message : String(err)}`);
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appendTimelineEvent(c.state, resumeMod, "module", `Resume Building failed: ${err instanceof Error ? err.message : String(err)}`);
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}
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}
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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// Step 2: Interview Agent — create interview session
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// Step 2: Mock Interview — create interview session
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const interviewModule = getSubAgentModule("interview");
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const interviewMod = c.state.modules.find(m => m.id === "interview");
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if (interviewMod && interviewModule?.service) {
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interviewMod.status = "running";
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appendTimelineEvent(c.state, interviewMod, "module", "Interview Agent creating interview practice session...");
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appendTimelineEvent(c.state, interviewMod, "module", "Mock Interview is creating an interview practice session...");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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try {
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@@ -905,12 +905,12 @@ async function dispatchUnifiedTool(
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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// Step 3: Roleplay Agent — create roleplay session
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// Step 3: Mock Roleplay — create roleplay session
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const roleplayModule = getSubAgentModule("roleplay");
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const roleplayMod = c.state.modules.find(m => m.id === "roleplay");
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if (roleplayMod && roleplayModule?.service) {
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roleplayMod.status = "running";
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appendTimelineEvent(c.state, roleplayMod, "module", "Roleplay Agent creating roleplay scenario...");
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appendTimelineEvent(c.state, roleplayMod, "module", "Mock Roleplay is creating a practice scenario...");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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try {
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@@ -923,18 +923,18 @@ async function dispatchUnifiedTool(
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appendTimelineEvent(c.state, roleplayMod, "module", roleplayResult.summary);
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} catch (err) {
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roleplayMod.status = "blocked";
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appendTimelineEvent(c.state, roleplayMod, "module", `Roleplay Agent session failed: ${err instanceof Error ? err.message : String(err)}`);
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appendTimelineEvent(c.state, roleplayMod, "module", `Mock Roleplay session failed: ${err instanceof Error ? err.message : String(err)}`);
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}
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}
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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// Step 4: Q Score Agent — compute Q-Score
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// Step 4: Q Score — compute readiness
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const qscoreModule = getSubAgentModule("qscore");
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const qscoreMod = c.state.modules.find(m => m.id === "qscore");
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if (qscoreMod && qscoreModule?.service) {
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qscoreMod.status = "running";
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appendTimelineEvent(c.state, qscoreMod, "module", "Q Score Agent computing your readiness Q-Score...");
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appendTimelineEvent(c.state, qscoreMod, "module", "Q Score is computing your readiness score...");
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c.broadcast("workflow.updated", workflowSnapshot(c.state));
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try {
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@@ -947,7 +947,7 @@ async function dispatchUnifiedTool(
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appendTimelineEvent(c.state, qscoreMod, "module", qscoreResult.summary);
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} catch (err) {
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qscoreMod.status = "blocked";
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appendTimelineEvent(c.state, qscoreMod, "module", `Q-Score computation failed: ${err instanceof Error ? err.message : String(err)}`);
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appendTimelineEvent(c.state, qscoreMod, "module", `Q Score computation failed: ${err instanceof Error ? err.message : String(err)}`);
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}
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}
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@@ -45,7 +45,7 @@ export function jobApplicationModuleIds(): string[] {
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return loaderJobApplicationModuleIds();
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}
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// Build the unified Grow Agent system prompt from disk (changes.md §3).
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// Build the unified Grow system prompt from disk (changes.md §3).
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export function buildUnifiedSystemPrompt(): string {
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return getUnifiedSystemPrompt();
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}
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+1
-1
@@ -26,7 +26,7 @@ export const requireUser = createMiddleware<AuthContext>(async (c, next) => {
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const auth = c.req.header("authorization") ?? "";
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const token = auth.replace(/^Bearer\s+/i, "").trim();
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// Service-to-service path (Grow Agent actor calling backend).
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// Service-to-service path (Grow stack calling backend).
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// Header `x-growqr-user` is REQUIRED so we can scope the call.
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const trustedServiceTokens = new Set(
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[
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@@ -164,7 +164,7 @@ export async function loadPromptsFromDisk(): Promise<void> {
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} catch (err) {
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log.error({ err, path: SYSTEM_PROMPT_FILE }, "failed to load system prompt — using fallback");
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// Fallback: assemble from modules without a template file.
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const fallback = `You are the Grow Agent — a unified AI orchestrator for the GrowQR platform.\n\n## Sub-Agent Capabilities\n\n${modules.map((m) => `- **${m.name}**: ${m.description}`).join("\n")}`;
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const fallback = `You are Grow — a unified AI career assistant for the GrowQR platform.\n\n## Specialist Capabilities\n\n${modules.map((m) => `- **${m.name}**: ${m.description}`).join("\n")}`;
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cachedSystemPrompt = fallback;
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}
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}
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+8
-8
@@ -52,7 +52,7 @@ function buildTools() {
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type: "function" as const,
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function: {
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name: "start_interview_session",
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description: "Create a real interview practice session via the Interview Agent / interview-service microservice. Call this when the user asks to start or launch an interview.",
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description: "Create a real mock interview session via the interview-service microservice. Call this when the user asks to start or launch interview practice.",
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parameters: {
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type: "object",
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properties: {
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@@ -66,7 +66,7 @@ function buildTools() {
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type: "function" as const,
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function: {
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name: "start_roleplay_session",
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description: "Create a real roleplay session via Roleplay Agent / roleplay-service. Call when user asks for roleplay or negotiation practice.",
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description: "Create a real mock roleplay session via roleplay-service. Call when the user asks for roleplay or negotiation practice.",
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parameters: {
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type: "object",
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properties: {
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@@ -80,7 +80,7 @@ function buildTools() {
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type: "function" as const,
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function: {
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name: "analyze_resume",
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description: "Analyze user's resume using the Resume Agent. Returns completeness, skills, and gaps.",
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description: "Analyze the user's resume using Resume Building. Returns completeness, skills, and gaps.",
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parameters: {
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type: "object",
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properties: {
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@@ -94,7 +94,7 @@ function buildTools() {
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type: "function" as const,
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function: {
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name: "compute_qscore",
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description: "Compute user's readiness Q-Score via Q Score Agent / qscore-service.",
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description: "Compute the user's readiness Q Score via qscore-service.",
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parameters: {
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type: "object",
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properties: {},
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@@ -174,14 +174,14 @@ export function chatRoutes() {
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switch (toolCall.name) {
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case "start_interview_session": {
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toolResult = await runServiceAgentProbe(
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{ id: "interview", name: "Interview Agent", role: "Interview Agent", kind: "microservice", description: "Interview practice", service: "interview-service" },
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{ id: "interview", name: "Mock Interview", role: "Interview practice", kind: "microservice", description: "Interview practice", service: "interview-service" },
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{ userId, goal: String(toolCall.arguments.target_role ?? "general preparation") },
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);
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if (toolResult.status === "ok" && toolResult.detail) {
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const detail = toolResult.detail as Record<string, unknown>;
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sessions.push({
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moduleId: "interview",
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moduleName: "Interview Agent",
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moduleName: "Mock Interview",
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status: "done",
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sessionId: detail.session_id as string,
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sessionUrl: typeof detail.ui_session_url === "string"
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@@ -194,14 +194,14 @@ export function chatRoutes() {
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}
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case "start_roleplay_session": {
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toolResult = await runServiceAgentProbe(
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{ id: "roleplay", name: "Roleplay Agent", role: "Roleplay Agent", kind: "microservice", description: "Roleplay practice", service: "roleplay-service" },
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{ id: "roleplay", name: "Mock Roleplay", role: "Roleplay practice", kind: "microservice", description: "Roleplay practice", service: "roleplay-service" },
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{ userId, goal: String(toolCall.arguments.goal ?? "general practice") },
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);
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if (toolResult.status === "ok" && toolResult.detail) {
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const detail = toolResult.detail as Record<string, unknown>;
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sessions.push({
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moduleId: "roleplay",
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moduleName: "Roleplay Agent",
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moduleName: "Mock Roleplay",
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status: "done",
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sessionId: detail.session_id as string,
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sessionUrl: typeof detail.ui_session_url === "string"
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@@ -129,7 +129,7 @@ async function runInterviewService(ctx: ServiceAgentContext): Promise<ServiceAge
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);
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return {
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status: "ok",
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summary: `Interview Agent created interview session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
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summary: `Mock Interview created interview session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
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detail: {
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...detail,
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target_role: payload.context.target_role,
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@@ -173,7 +173,7 @@ async function runRoleplayService(ctx: ServiceAgentContext): Promise<ServiceAgen
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);
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return {
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status: "ok",
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summary: `Roleplay Agent created roleplay session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
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summary: `Mock Roleplay created roleplay session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
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detail: {
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...detail,
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target_role: payload.metadata.target_role,
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@@ -256,7 +256,7 @@ async function runQScoreService(ctx: ServiceAgentContext): Promise<ServiceAgentR
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);
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return {
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status: "ok",
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summary: `Q Score Agent estimated Q-Score ~${avgSignalScore} (service compute unavailable: formula store may not be seeded). Based on ${signals.length} signals.`,
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summary: `Q Score estimated Q Score ~${avgSignalScore} (service compute unavailable: formula store may not be seeded). Based on ${signals.length} signals.`,
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detail: {
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ingest,
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estimated_q_score: avgSignalScore,
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@@ -269,12 +269,12 @@ async function runQScoreService(ctx: ServiceAgentContext): Promise<ServiceAgentR
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return {
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status: "ok",
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summary: `Q Score Agent computed Q-Score ${compute.q_score ?? "(unknown)"} for ${ctx.goal}.`,
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summary: `Q Score computed Q Score ${compute.q_score ?? "(unknown)"} for ${ctx.goal}.`,
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detail: { ingest, compute, qscore_user_id: qscoreUserId },
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};
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}
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// ── Resume Agent (resume-builder service from growqr-app) ──
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// ── Resume Building (resume-builder service from growqr-app) ──
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async function runResumeAnalyze(ctx: ServiceAgentContext): Promise<ServiceAgentResult> {
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// Probe resume state for the user
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@@ -289,8 +289,8 @@ async function runResumeAnalyze(ctx: ServiceAgentContext): Promise<ServiceAgentR
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return {
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status: "ok",
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summary: hasResume
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? `Resume Agent found ${detail.resume_count} resume(s) at ${completeness}% completeness. Current role: ${detail.current_role ?? "unknown"}.`
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: "No existing resume found. Resume Agent is ready to build one from scratch.",
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? `Resume Building found ${detail.resume_count} resume(s) at ${completeness}% completeness. Current role: ${detail.current_role ?? "unknown"}.`
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: "No existing resume found. Resume Building is ready to build one from scratch.",
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detail: {
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resume_count: detail.resume_count,
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completeness,
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@@ -302,7 +302,7 @@ async function runResumeAnalyze(ctx: ServiceAgentContext): Promise<ServiceAgentR
|
||||
} catch (err) {
|
||||
return {
|
||||
status: "unavailable",
|
||||
summary: `Resume Agent unavailable: ${err instanceof Error ? err.message : String(err)}`,
|
||||
summary: `Resume Building unavailable: ${err instanceof Error ? err.message : String(err)}`,
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -317,7 +317,7 @@ async function runResumeTailor(ctx: ServiceAgentContext): Promise<ServiceAgentRe
|
||||
// Return summary with optimization guidance
|
||||
return {
|
||||
status: "ok",
|
||||
summary: `Resume Agent analyzed your profile for the role "${ctx.goal}". Skills detected: ${(stateResult.detail as any)?.skills?.slice(0, 5).join(", ") ?? "none"}. Resume ready for optimization.`,
|
||||
summary: `Resume Building analyzed your profile for the role "${ctx.goal}". Skills detected: ${(stateResult.detail as any)?.skills?.slice(0, 5).join(", ") ?? "none"}. Resume ready for optimization.`,
|
||||
detail: {
|
||||
...(stateResult.detail as Record<string, unknown> ?? {}),
|
||||
goal: ctx.goal,
|
||||
@@ -382,11 +382,11 @@ export async function runServiceAgentProbe(
|
||||
case "interview-service":
|
||||
return ctx
|
||||
? await runInterviewService(ctx)
|
||||
: healthCheck(config.interviewServiceUrl, "Interview Agent / interview-service");
|
||||
: healthCheck(config.interviewServiceUrl, "Mock Interview / interview-service");
|
||||
case "roleplay-service":
|
||||
return ctx
|
||||
? await runRoleplayService(ctx)
|
||||
: healthCheck(config.roleplayServiceUrl, "Roleplay Agent / roleplay-service");
|
||||
: healthCheck(config.roleplayServiceUrl, "Mock Roleplay / roleplay-service");
|
||||
case "qscore-service":
|
||||
return ctx
|
||||
? await runQScoreService(ctx)
|
||||
@@ -394,7 +394,7 @@ export async function runServiceAgentProbe(
|
||||
case "resume-service":
|
||||
return ctx
|
||||
? await runResumeTailor(ctx)
|
||||
: healthCheck(config.resumeServiceUrl, "Resume Agent / resume-service");
|
||||
: healthCheck(config.resumeServiceUrl, "Resume Building / resume-service");
|
||||
case "matchmaking-service":
|
||||
return ctx
|
||||
? await runMatchmaking(ctx)
|
||||
|
||||
Reference in New Issue
Block a user