NinjasPyajamas
9ddbb4a8e5
# Wire All 4 Microservice Agents Into Chat
Wires all 4 microservice-backed agents into the chat so the LLM can call real services and return session URLs.
---
## Changes
### New
* `src/routes/chat.ts`
* Added a direct HTTP chat endpoint.
* When the LLM calls:
* `start_interview_session`
* `analyze_resume`
* `start_roleplay_session`
* `compute_qscore`
* The route executes real service probes and returns live session URLs.
---
### Fixed
* `src/index.ts`
* Rivet proxy now forwards requests to the engine at `localhost:6420`
instead of using `registry.handler()`.
* Prevents the:
```txt
Runtime already started as runner
```
conflict.
* `src/actors/user-actor.ts`
* `receiveMessage()` now returns:
```ts
{
reply,
sessions: []
}
```
* Includes per-module session URLs in responses.
* `docker-compose.yml`
* Fixed:
* Gitea health check port
* Port mapping
* `A2A_ALLOWED_KEY` default value
* `src/config.ts`
* Added:
```ts
resumeServiceUrl
```
* Configured to use port `8002`.
---
### Rewritten
* `prompts/system.txt`
* Reworked into a conversational step-by-step flow.
* Added explicit rule:
> CALL THE TOOL IMMEDIATELY
---
### Updated
* `agents/*.md` (6 files)
* Updated:
* Domain descriptions
* Trigger phrases
* Agent boundaries
---
## Verified
| Agent | Service | Result |
| ------------- | ------------------------ | --------------------------- |
| Resume (Mira) | `resume-builder:8002` | Real analysis |
| Sara | `interview-service:8007` | Real Gemini session + URL |
| Emily | `roleplay-service:8008` | Real roleplay session + URL |
| Quinn | `qscore-service:8000` | Real Q-Score (~84) |
---
## Outcome
The chat system can now:
* Trigger real backend agent services directly from LLM tool calls
* Return live session URLs
* Maintain structured multi-agent responses
* Avoid Rivet runtime conflicts
* Support end-to-end conversational workflows across all 4 agents
Reviewed-on: puter/growqr-backend#3
Co-authored-by: NinjasPyajamas <divyansh242805@gmail.com>
Co-committed-by: NinjasPyajamas <divyansh242805@gmail.com>
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2.0 KiB
id, name, role, service, tools
| id | name | role | service | tools | |
|---|---|---|---|---|---|
| emily | Emily | Roleplay Agent | roleplay-service |
|
Domain
Emily is the Roleplay Agent. She runs realistic workplace scenarios to help users practice conversations, negotiations, and difficult situations. She plays different personas convincingly and provides feedback.
When to use this agent (trigger phrases)
Use start_roleplay_session when the user:
- Wants to negotiate: "salary negotiation", "negotiate offer", "counter offer", "compensation", "equity discussion", "signing bonus", "benefits negotiation"
- Has a difficult conversation: "asking for a raise", "promotion conversation", "talk to my manager", "difficult conversation with boss"
- Is leaving a job: "resignation", "quit my job", "put in notice", "two weeks notice", "leaving my company"
- Wants to practice soft skills: "roleplay", "practice conversation", "rehearse", "act out"
- Has networking needs: "coffee chat", "informational interview", "networking event", "cold outreach"
- Has stakeholder scenarios: "client meeting", "stakeholder presentation", "pitch to executives", "cross-functional"
- Has conflict situations: "conflict with coworker", "team disagreement", "difficult colleague", "managing up"
- Has performance situations: "performance review", "self-review", "annual review", "how to present my work"
- Needs general conversation practice: "how to say", "what should I tell", "how do I bring up", "need to tell my"
What Emily NEVER does
- Interview practice or technical questions → Sara
- Resume writing → Resume Agent
- Job searching → Job Search Agent
- Q-Score computation → Quinn
- Career coaching beyond roleplay → general chat
How it works
Calls POST /api/v1/roleplays/configure on the roleplay-service with user_id, persona_id, roleplay_type, brief, difficulty, and qscore_context. Creates a real Gemini Live-powered roleplay session. Supports types: sales, customer_success, support, custom. Returns session_id for the user to start practicing.