refactor: replace personified workflow labels

This commit is contained in:
Sai-karthik
2026-06-17 12:22:48 +00:00
parent 9b6f887c3f
commit fe449fdc50
7 changed files with 51 additions and 51 deletions
+6 -6
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@@ -1,6 +1,6 @@
You are the Grow Agent — a unified AI orchestrator for the GrowQR platform.
You are Grow — a unified AI career assistant for the GrowQR platform.
You coordinate sub-agent capabilities (loaded as tools), maintain durable state, and execute workflows through microservices.
You coordinate specialist capabilities (loaded as tools), maintain durable state, and execute workflows through microservices.
## CRITICAL RULES
@@ -43,7 +43,7 @@ You coordinate sub-agent capabilities (loaded as tools), maintain durable state,
- After resume optimization: ask what type of interview to prepare.
- When they choose type → call start_interview_session.
- Then offer roleplay → call start_roleplay_session when they confirm.
- Then offer Q-Score → call compute_qscore.
- Then offer Q Score → call compute_qscore.
- Use [WORKFLOW: interview-to-offer] tag throughout.
## IMPORTANT: Tool Calling Anti-Patterns
@@ -66,16 +66,16 @@ Assistant: "I'll analyze your resume right away."
User: "analyze my resume"
Assistant calls analyze_resume → "Here's your analysis: [results]. Your strengths are..."
## Sub-Agent Capabilities
## Specialist Capabilities
{{MODULE_DESCRIPTIONS}}
## Workflow Tags (put at the VERY END, on their own line)
- [WORKFLOW: interview-to-offer] — full interview prep pipeline
- [WORKFLOW: interview-practice] — interview sessions with the Interview Agent
- [WORKFLOW: interview-practice] — mock interview sessions
- [WORKFLOW: resume-boost] — resume analysis and optimization
- [WORKFLOW: roleplay-practice] — roleplay sessions with Roleplay Agent
- [WORKFLOW: roleplay-practice] — mock roleplay sessions
- [WORKFLOW: career-switch] — career change navigation
- [WORKFLOW: job-preparation] — broad company preparation
+22 -22
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@@ -189,7 +189,7 @@ function buildUnifiedTools(): Array<{
type: "function" as const,
function: {
name: "start_interview_session",
description: "Create a real interview practice session via the Interview Agent / interview-service microservice.",
description: "Create a real mock interview session via the interview-service microservice.",
parameters: {
type: "object",
properties: { goal: { type: "string" } },
@@ -201,7 +201,7 @@ function buildUnifiedTools(): Array<{
type: "function" as const,
function: {
name: "start_roleplay_session",
description: "Create a real roleplay practice session via the Roleplay Agent / roleplay-service microservice.",
description: "Create a real mock roleplay session via the roleplay-service microservice.",
parameters: {
type: "object",
properties: { goal: { type: "string" } },
@@ -213,7 +213,7 @@ function buildUnifiedTools(): Array<{
type: "function" as const,
function: {
name: "compute_qscore",
description: "Compute or refresh the user's Q-Score via the Q Score Agent / qscore-service microservice.",
description: "Compute or refresh the user's Q Score via the qscore-service microservice.",
parameters: {
type: "object",
properties: {},
@@ -225,7 +225,7 @@ function buildUnifiedTools(): Array<{
type: "function" as const,
function: {
name: "analyze_resume",
description: "Analyze the user's resume using the Resume Agent microservice. Returns completeness score, skill gaps, and optimization recommendations.",
description: "Analyze the user's resume using the Resume Building microservice. Returns completeness score, skill gaps, and optimization recommendations.",
parameters: {
type: "object",
properties: {
@@ -253,7 +253,7 @@ function buildUnifiedTools(): Array<{
type: "function" as const,
function: {
name: "start_interview_to_offer",
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.",
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.",
parameters: {
type: "object",
properties: {
@@ -563,7 +563,7 @@ export const userActor = actor({
appendTimelineEvent(
c.state,
{ id: "grow", name: "Grow Agent" },
{ id: "grow", name: "Grow" },
"workflow",
`${getWorkflowDefinition(workflowId)?.title ?? "Workflow"} started.`,
);
@@ -581,14 +581,14 @@ export const userActor = actor({
pauseWorkflow: async (c) => {
c.state.workflowStatus = "paused";
appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow paused.");
appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow paused.");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
return c.state;
},
resumeWorkflow: async (c) => {
c.state.workflowStatus = "running";
appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow resumed.");
appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow resumed.");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
return c.state;
},
@@ -753,7 +753,7 @@ async function dispatchUnifiedTool(
c.state.modules = makeModules();
c.state.createdAt = now();
c.state.updatedAt = now();
appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", "Workflow started via LLM tool.");
appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", "Workflow started via LLM tool.");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
return { ok: true, workflowId: c.state.workflowId, goal };
}
@@ -799,7 +799,7 @@ async function dispatchUnifiedTool(
case "start_roleplay_session": {
const goal = String(input.goal ?? "");
const roleplayModule = getSubAgentModule("roleplay");
if (!roleplayModule?.service) return { ok: false, error: "Roleplay Agent module not available" };
if (!roleplayModule?.service) return { ok: false, error: "Mock Roleplay module not available" };
const result = await runServiceAgentProbe(
{ id: roleplayModule.id, name: roleplayModule.name, role: roleplayModule.role, kind: "microservice", description: roleplayModule.description, service: roleplayModule.service },
{ userId, goal },
@@ -855,14 +855,14 @@ async function dispatchUnifiedTool(
c.state.createdAt = now();
c.state.updatedAt = now();
appendTimelineEvent(c.state, { id: "grow", name: "Grow Agent" }, "workflow", `Interview-to-Offer workflow started for: ${goal}`);
appendTimelineEvent(c.state, { id: "grow", name: "Grow" }, "workflow", `Interview-to-Offer workflow started for: ${goal}`);
// Step 1: Resume Agent — analyze and tailor
// Step 1: Resume Building — analyze and tailor
const resumeModule = getSubAgentModule("resume");
const resumeMod = c.state.modules.find(m => m.id === "resume");
if (resumeMod && resumeModule) {
resumeMod.status = "running";
appendTimelineEvent(c.state, resumeMod, "module", "Resume Agent analyzing your profile...");
appendTimelineEvent(c.state, resumeMod, "module", "Resume Building is analyzing your profile...");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
try {
@@ -875,18 +875,18 @@ async function dispatchUnifiedTool(
appendTimelineEvent(c.state, resumeMod, "module", resumeResult.summary);
} catch (err) {
resumeMod.status = "blocked";
appendTimelineEvent(c.state, resumeMod, "module", `Resume Agent failed: ${err instanceof Error ? err.message : String(err)}`);
appendTimelineEvent(c.state, resumeMod, "module", `Resume Building failed: ${err instanceof Error ? err.message : String(err)}`);
}
}
c.broadcast("workflow.updated", workflowSnapshot(c.state));
// Step 2: Interview Agent — create interview session
// Step 2: Mock Interview — create interview session
const interviewModule = getSubAgentModule("interview");
const interviewMod = c.state.modules.find(m => m.id === "interview");
if (interviewMod && interviewModule?.service) {
interviewMod.status = "running";
appendTimelineEvent(c.state, interviewMod, "module", "Interview Agent creating interview practice session...");
appendTimelineEvent(c.state, interviewMod, "module", "Mock Interview is creating an interview practice session...");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
try {
@@ -905,12 +905,12 @@ async function dispatchUnifiedTool(
c.broadcast("workflow.updated", workflowSnapshot(c.state));
// Step 3: Roleplay Agent — create roleplay session
// Step 3: Mock Roleplay — create roleplay session
const roleplayModule = getSubAgentModule("roleplay");
const roleplayMod = c.state.modules.find(m => m.id === "roleplay");
if (roleplayMod && roleplayModule?.service) {
roleplayMod.status = "running";
appendTimelineEvent(c.state, roleplayMod, "module", "Roleplay Agent creating roleplay scenario...");
appendTimelineEvent(c.state, roleplayMod, "module", "Mock Roleplay is creating a practice scenario...");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
try {
@@ -923,18 +923,18 @@ async function dispatchUnifiedTool(
appendTimelineEvent(c.state, roleplayMod, "module", roleplayResult.summary);
} catch (err) {
roleplayMod.status = "blocked";
appendTimelineEvent(c.state, roleplayMod, "module", `Roleplay Agent session failed: ${err instanceof Error ? err.message : String(err)}`);
appendTimelineEvent(c.state, roleplayMod, "module", `Mock Roleplay session failed: ${err instanceof Error ? err.message : String(err)}`);
}
}
c.broadcast("workflow.updated", workflowSnapshot(c.state));
// Step 4: Q Score Agent — compute Q-Score
// Step 4: Q Score — compute readiness
const qscoreModule = getSubAgentModule("qscore");
const qscoreMod = c.state.modules.find(m => m.id === "qscore");
if (qscoreMod && qscoreModule?.service) {
qscoreMod.status = "running";
appendTimelineEvent(c.state, qscoreMod, "module", "Q Score Agent computing your readiness Q-Score...");
appendTimelineEvent(c.state, qscoreMod, "module", "Q Score is computing your readiness score...");
c.broadcast("workflow.updated", workflowSnapshot(c.state));
try {
@@ -947,7 +947,7 @@ async function dispatchUnifiedTool(
appendTimelineEvent(c.state, qscoreMod, "module", qscoreResult.summary);
} catch (err) {
qscoreMod.status = "blocked";
appendTimelineEvent(c.state, qscoreMod, "module", `Q-Score computation failed: ${err instanceof Error ? err.message : String(err)}`);
appendTimelineEvent(c.state, qscoreMod, "module", `Q Score computation failed: ${err instanceof Error ? err.message : String(err)}`);
}
}
+1 -1
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@@ -45,7 +45,7 @@ export function jobApplicationModuleIds(): string[] {
return loaderJobApplicationModuleIds();
}
// Build the unified Grow Agent system prompt from disk (changes.md §3).
// Build the unified Grow system prompt from disk (changes.md §3).
export function buildUnifiedSystemPrompt(): string {
return getUnifiedSystemPrompt();
}
+1 -1
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@@ -26,7 +26,7 @@ export const requireUser = createMiddleware<AuthContext>(async (c, next) => {
const auth = c.req.header("authorization") ?? "";
const token = auth.replace(/^Bearer\s+/i, "").trim();
// Service-to-service path (Grow Agent actor calling backend).
// Service-to-service path (Grow stack calling backend).
// Header `x-growqr-user` is REQUIRED so we can scope the call.
const trustedServiceTokens = new Set(
[
+1 -1
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@@ -164,7 +164,7 @@ export async function loadPromptsFromDisk(): Promise<void> {
} catch (err) {
log.error({ err, path: SYSTEM_PROMPT_FILE }, "failed to load system prompt — using fallback");
// Fallback: assemble from modules without a template file.
const fallback = `You are the Grow Agent — a unified AI orchestrator for the GrowQR platform.\n\n## Sub-Agent Capabilities\n\n${modules.map((m) => `- **${m.name}**: ${m.description}`).join("\n")}`;
const fallback = `You are Grow — a unified AI career assistant for the GrowQR platform.\n\n## Specialist Capabilities\n\n${modules.map((m) => `- **${m.name}**: ${m.description}`).join("\n")}`;
cachedSystemPrompt = fallback;
}
}
+8 -8
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@@ -52,7 +52,7 @@ function buildTools() {
type: "function" as const,
function: {
name: "start_interview_session",
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.",
description: "Create a real mock interview session via the interview-service microservice. Call this when the user asks to start or launch interview practice.",
parameters: {
type: "object",
properties: {
@@ -66,7 +66,7 @@ function buildTools() {
type: "function" as const,
function: {
name: "start_roleplay_session",
description: "Create a real roleplay session via Roleplay Agent / roleplay-service. Call when user asks for roleplay or negotiation practice.",
description: "Create a real mock roleplay session via roleplay-service. Call when the user asks for roleplay or negotiation practice.",
parameters: {
type: "object",
properties: {
@@ -80,7 +80,7 @@ function buildTools() {
type: "function" as const,
function: {
name: "analyze_resume",
description: "Analyze user's resume using the Resume Agent. Returns completeness, skills, and gaps.",
description: "Analyze the user's resume using Resume Building. Returns completeness, skills, and gaps.",
parameters: {
type: "object",
properties: {
@@ -94,7 +94,7 @@ function buildTools() {
type: "function" as const,
function: {
name: "compute_qscore",
description: "Compute user's readiness Q-Score via Q Score Agent / qscore-service.",
description: "Compute the user's readiness Q Score via qscore-service.",
parameters: {
type: "object",
properties: {},
@@ -174,14 +174,14 @@ export function chatRoutes() {
switch (toolCall.name) {
case "start_interview_session": {
toolResult = await runServiceAgentProbe(
{ id: "interview", name: "Interview Agent", role: "Interview Agent", kind: "microservice", description: "Interview practice", service: "interview-service" },
{ id: "interview", name: "Mock Interview", role: "Interview practice", kind: "microservice", description: "Interview practice", service: "interview-service" },
{ userId, goal: String(toolCall.arguments.target_role ?? "general preparation") },
);
if (toolResult.status === "ok" && toolResult.detail) {
const detail = toolResult.detail as Record<string, unknown>;
sessions.push({
moduleId: "interview",
moduleName: "Interview Agent",
moduleName: "Mock Interview",
status: "done",
sessionId: detail.session_id as string,
sessionUrl: typeof detail.ui_session_url === "string"
@@ -194,14 +194,14 @@ export function chatRoutes() {
}
case "start_roleplay_session": {
toolResult = await runServiceAgentProbe(
{ id: "roleplay", name: "Roleplay Agent", role: "Roleplay Agent", kind: "microservice", description: "Roleplay practice", service: "roleplay-service" },
{ id: "roleplay", name: "Mock Roleplay", role: "Roleplay practice", kind: "microservice", description: "Roleplay practice", service: "roleplay-service" },
{ userId, goal: String(toolCall.arguments.goal ?? "general practice") },
);
if (toolResult.status === "ok" && toolResult.detail) {
const detail = toolResult.detail as Record<string, unknown>;
sessions.push({
moduleId: "roleplay",
moduleName: "Roleplay Agent",
moduleName: "Mock Roleplay",
status: "done",
sessionId: detail.session_id as string,
sessionUrl: typeof detail.ui_session_url === "string"
+12 -12
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@@ -129,7 +129,7 @@ async function runInterviewService(ctx: ServiceAgentContext): Promise<ServiceAge
);
return {
status: "ok",
summary: `Interview Agent created interview session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
summary: `Mock Interview created interview session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
detail: {
...detail,
target_role: payload.context.target_role,
@@ -173,7 +173,7 @@ async function runRoleplayService(ctx: ServiceAgentContext): Promise<ServiceAgen
);
return {
status: "ok",
summary: `Roleplay Agent created roleplay session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
summary: `Mock Roleplay created roleplay session ${detail.session_id ?? "(pending id)"} for ${ctx.goal}.`,
detail: {
...detail,
target_role: payload.metadata.target_role,
@@ -256,7 +256,7 @@ async function runQScoreService(ctx: ServiceAgentContext): Promise<ServiceAgentR
);
return {
status: "ok",
summary: `Q Score Agent estimated Q-Score ~${avgSignalScore} (service compute unavailable: formula store may not be seeded). Based on ${signals.length} signals.`,
summary: `Q Score estimated Q Score ~${avgSignalScore} (service compute unavailable: formula store may not be seeded). Based on ${signals.length} signals.`,
detail: {
ingest,
estimated_q_score: avgSignalScore,
@@ -269,12 +269,12 @@ async function runQScoreService(ctx: ServiceAgentContext): Promise<ServiceAgentR
return {
status: "ok",
summary: `Q Score Agent computed Q-Score ${compute.q_score ?? "(unknown)"} for ${ctx.goal}.`,
summary: `Q Score computed Q Score ${compute.q_score ?? "(unknown)"} for ${ctx.goal}.`,
detail: { ingest, compute, qscore_user_id: qscoreUserId },
};
}
// ── Resume Agent (resume-builder service from growqr-app) ──
// ── Resume Building (resume-builder service from growqr-app) ──
async function runResumeAnalyze(ctx: ServiceAgentContext): Promise<ServiceAgentResult> {
// Probe resume state for the user
@@ -289,8 +289,8 @@ async function runResumeAnalyze(ctx: ServiceAgentContext): Promise<ServiceAgentR
return {
status: "ok",
summary: hasResume
? `Resume Agent found ${detail.resume_count} resume(s) at ${completeness}% completeness. Current role: ${detail.current_role ?? "unknown"}.`
: "No existing resume found. Resume Agent is ready to build one from scratch.",
? `Resume Building found ${detail.resume_count} resume(s) at ${completeness}% completeness. Current role: ${detail.current_role ?? "unknown"}.`
: "No existing resume found. Resume Building is ready to build one from scratch.",
detail: {
resume_count: detail.resume_count,
completeness,
@@ -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)