# 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>
65 lines
1.9 KiB
Plaintext
65 lines
1.9 KiB
Plaintext
PORT=4000
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LOG_LEVEL=info
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NODE_ENV=development
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# Postgres (started by docker-compose; defaults match the compose service)
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DATABASE_URL=***************************************/growqr
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POSTGRES_USER=growqr
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POSTGRES_PASSWORD=******
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POSTGRES_DB=growqr
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# Clerk auth — get from dashboard.clerk.com → API Keys
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CLERK_SECRET_KEY=clerk_key
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CLERK_PUBLISHABLE_KEY=clerk_publishable_key
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# OpenCode Zen LLM gateway — get from opencode.ai/auth
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OPENCODE_API_KEY=sk-REPLACE_ME
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LLM_PROVIDER=opencode
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LLM_BASE_URL=https://opencode.ai/zen/v1
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LLM_MODEL=kimi-k2.6
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GROW_AGENT_MODEL=kimi-k2.6
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MAX_AGENT_TOKENS=4096
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# Shared secret for actor → backend service calls (rotate in prod)
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SERVICE_TOKEN=dev-service-token-REPLACE_ME
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A2A_ALLOWED_KEY=***********
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# ── Central Gitea (shared org-wide, changes.md §2A) ──
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GITEA_URL=http://127.0.0.1:3001
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GITEA_ADMIN_USER=growqr-admin
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GITEA_ADMIN_PASSWORD=growqr-admin-dev
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GITEA_ADMIN_TOKEN=
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GITEA_ORG_NAME=growqr
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# ── Version tracking (changes.md §9) ──
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OPENCODE_IMAGE_VERSION=1.0.0
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MIGRATION_VERSION=1
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PROMPT_VERSION=1
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# Rivet Kit engine (self-hosted in docker-compose)
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RIVET_ENDPOINT=http://localhost:6420
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RIVET_CLIENT_ENDPOINT=http://127.0.0.1:4000/api/rivet
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# Product microservice sub-agent URLs
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INTERVIEW_SERVICE_URL=http://localhost:8007
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ROLEPLAY_SERVICE_URL=http://localhost:8008
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QSCORE_SERVICE_URL=http://localhost:8000
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# Per-user OpenCode container image (shared, changes.md §3)
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OPENCODE_IMAGE=ghcr.io/anomalyco/opencode:latest
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# Host where spawned containers expose their ports.
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# - localhost in dev
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# - host.docker.internal when the backend runs inside docker-compose
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USER_CONTAINER_HOST=127.0.0.1
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# Workspace root on the host. Each user gets a subdir.
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USER_DATA_ROOT=./.data/users
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# Port range allocated to per-user OpenCode containers (Gitea is central)
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USER_PORT_RANGE_START=20000
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USER_PORT_RANGE_END=29999
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# CORS origin(s) for the Next.js frontend (comma-separated for multiple)
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FRONTEND_ORIGIN=http://localhost:3000
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