chore: add Groq proxy and update demo script - #21
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PR Summary by QodoAdd Groq proxy and stabilize the MissionControl demo flow
AI Description
Diagram
High-Level Assessment
Files changed (6)
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![codeant-ai[bot]](https://avatars.githubusercontent.com/in/646884?s=60&v=4){kind=small}
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| groq_resp = requests.post( | ||
| f"{GROQ_API_URL}/chat/completions", | ||
| json=data, | ||
| headers=headers, | ||
| stream=stream | ||
| ) |
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Suggestion: The outbound request has no timeout, so a stalled Groq connection can block a proxy worker indefinitely and accumulate stuck requests. [possible bug]
Assessment: 🟠 Major · 🔁 Occurrence: Sometimes
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** groq_proxy.py
**Line:** 29:34
**Comment:**
*Possible Bug: The outbound request has no timeout, so a stalled Groq connection can block a proxy worker indefinitely and accumulate stuck requests.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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| return Response( | ||
| generate(), | ||
| content_type=groq_resp.headers.get('Content-Type', 'text/event-stream') | ||
| ) |
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Suggestion: Streaming responses use Flask's default 200 status, so Groq 401, 429, and 5xx errors reach clients as successful responses. [api mismatch]
Assessment: 🟠 Major · 🔁 Occurrence: Sometimes
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** groq_proxy.py
**Line:** 42:45
**Comment:**
*Api Mismatch: Streaming responses use Flask's default 200 status, so Groq 401, 429, and 5xx errors reach clients as successful responses.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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| Write-Host "Stopping Dashboard..." -ForegroundColor Yellow | ||
| Stop-Process -Name "node" -Force -ErrorAction SilentlyContinue |
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Suggestion: This forcibly terminates every Node process for the user, including unrelated applications and development tools, not just the MissionControl dashboard. [logic error]
Assessment: 🟠 Major · 🔁 Occurrence: Often
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** stop.ps1
**Line:** 5:6
**Comment:**
*Logic Error: This forcibly terminates every Node process for the user, including unrelated applications and development tools, not just the MissionControl dashboard.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix| @@ -0,0 +1 @@ | |||
| UPDATE agent SET manifest = CAST(json_set(CAST(manifest AS TEXT), '$.model', 'meta/llama-3.3-70b-instruct') AS BLOB) WHERE name = 'missioncontrol'; | |||
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Suggestion: The runtime reads manifest.models and validates manifest.model.name, but this writes a string to the unrelated top-level model field. [api mismatch]
Assessment: 🟠 Major · 🔁 Occurrence: Sometimes
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** update.sql
**Line:** 1:1
**Comment:**
*Api Mismatch: The runtime reads `manifest.models` and validates `manifest.model.name`, but this writes a string to the unrelated top-level `model` field.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
Code Review by Qodo
1. Stops every Node process
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![qodo-code-review[bot]](https://avatars.githubusercontent.com/in/484649?s=60&v=4){kind=small}
| docker compose down | ||
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| Write-Host "Stopping Dashboard..." -ForegroundColor Yellow | ||
| Stop-Process -Name "node" -Force -ErrorAction SilentlyContinue |
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1. Stops every node process 🐞 Bug ☼ Reliability
stop.ps1 force-terminates every process named node, rather than only the MissionControl dashboard. Running the documented one-click stop can kill unrelated development servers and Node-based tools owned by the user.
Agent Prompt
## Issue description
The one-click stop script force-terminates every Node process on the machine, including processes unrelated to MissionControl.
## Issue Context
The repository already contains project-aware process selection based on listening ports and command lines. Reuse that approach or persist the dashboard PID when starting it.
## Fix Focus Areas
- stop.ps1[5-6]
- start.ps1[48-57]
- scripts/stop-all.ps1[8-35]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| import requests | ||
| from flask import Flask, request, jsonify, Response |
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2. Proxy dependencies are uninstalled 🐞 Bug ≡ Correctness
The new proxy imports Flask and Requests, but the repository's only Python requirements file contains neither package and the setup scripts perform no pip installation. A clean checkout following the new python groq_proxy.py instruction therefore fails with ModuleNotFoundError.
Agent Prompt
## Issue description
The documented Groq proxy cannot start in a clean project environment because Flask and Requests are not declared or installed.
## Issue Context
Add an appropriate dependency manifest for the host-side proxy and update setup/documentation so users install it before running the script.
## Fix Focus Areas
- groq_proxy.py[1-2]
- README.md[107-111]
- scripts/setup.ps1[14-22]
- scripts/setup.sh[11-16]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| groq_resp = requests.request( | ||
| method=request.method, | ||
| url=f"{GROQ_API_URL}/{path}", | ||
| headers=headers, |
There was a problem hiding this comment.
3. Pass-through duplicates api version 🐞 Bug ≡ Correctness
The catch-all appends the complete incoming path to a base URL that already ends in /v1, so a request to the configured /v1/models route is sent to Groq as /openai/v1/v1/models. Model discovery and every non-chat /v1/* endpoint therefore fail upstream.
Agent Prompt
## Issue description
The catch-all duplicates the `/v1` path segment when forwarding OpenAI-compatible endpoints other than chat completions.
## Issue Context
Either use an upstream origin without `/v1` or strip the incoming `v1/` prefix before joining paths. Preserve query parameters and add coverage for `/v1/models`.
## Fix Focus Areas
- groq_proxy.py[7-10]
- groq_proxy.py[53-68]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| return Response( | ||
| generate(), | ||
| content_type=groq_resp.headers.get('Content-Type', 'text/event-stream') | ||
| ) |
There was a problem hiding this comment.
4. Streaming errors become successes 🐞 Bug ≡ Correctness
The streaming branch omits groq_resp.status_code, causing Flask to return HTTP 200 even when Groq responds with a 4xx or 5xx. Clients can consequently treat authentication, rate-limit, and provider errors as successful streamed completions.
Agent Prompt
## Issue description
Streaming upstream failures are always exposed to clients with a successful HTTP status.
## Issue Context
Set the downstream response status from `groq_resp.status_code` and preserve relevant upstream headers/error bodies. Add a test for a streamed upstream 4xx response.
## Fix Focus Areas
- groq_proxy.py[27-45]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| groq_resp = requests.post( | ||
| f"{GROQ_API_URL}/chat/completions", | ||
| json=data, | ||
| headers=headers, |
There was a problem hiding this comment.
5. Upstream requests never time out 🐞 Bug ☼ Reliability
Both outbound request paths omit a timeout, so a stalled Groq connection can leave the corresponding proxy request blocked indefinitely. Repeated stalls can accumulate blocked Flask workers and make the local model provider unresponsive.
Agent Prompt
## Issue description
Outbound Groq calls have no connection or read deadline and may block indefinitely.
## Issue Context
Apply explicit connect/read timeouts to both `requests.post` and `requests.request`, and return a stable gateway-timeout/provider error when they expire. Account for long-lived streaming reads without leaving connection establishment unbounded.
## Fix Focus Areas
- groq_proxy.py[27-34]
- groq_proxy.py[61-67]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| 1. Overall system health: All services healthy, but payment-service shows error_rate of 40%. | ||
| 2. Error metrics for payment-service: version v1.8.3, status healthy, error_rate 0.4, latency_p99 120. |
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6. Demo supplies contradictory metrics 🐞 Bug ≡ Correctness
The recording script says the injected error_spike produces 40% errors, then supplies the agent a healthy status with error_rate 0.4; the simulator actually changes payment-service to degraded with error_rate 12.3. The recorded dashboard and agent prompt therefore cannot agree, and the supplied healthy data may prevent the requested rollback diagnosis.
Agent Prompt
## Issue description
The demo prompt and narration use metrics and status values that contradict both each other and the simulator's error-spike state.
## Issue Context
Update all supplied values to the real post-injection state, or have the agent fetch them through MCP instead of pasting fabricated values.
## Fix Focus Areas
- YT Scripts/Script.md[60-78]
- mcp-servers/demo-infra/state.py[20-30]
- apps/dashboard/app/chaos/page.tsx[31-38]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
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| **SAY:** | ||
| "Four components. TrueForge runs the agent and enforces approval gates. A FastMCP server gives the agent five tools — list services, get metrics, inject chaos, rollback, and restart. Docker Compose boots PostgreSQL, Redis, and the application server. And a Next.js dashboard visualizes everything." | ||
| "Four components. TrueForge runs the agent and enforces approval gates. A FastMCP server gives the agent tools like listing services, getting metrics, injecting chaos, and rolling back deploys. Docker Compose runs PostgreSQL, Redis, and the backend. And a Next.js dashboard visualizes everything." |
There was a problem hiding this comment.
7. Narration invents mcp tool 🐞 Bug ≡ Correctness
The script says FastMCP gives the agent a chaos-injection tool, but the server explicitly excludes chaos injection and exposes it only through the human-controlled REST/dashboard path. Showing the MCP definitions during this narration will contradict the claimed architecture.
Agent Prompt
## Issue description
The demo narration attributes chaos injection to the MCP toolset even though the MCP server intentionally does not expose it.
## Issue Context
Describe chaos injection as a human-controlled dashboard/REST capability and reserve the MCP description for investigation and remediation tools.
## Fix Focus Areas
- YT Scripts/Script.md[32-40]
- mcp-servers/demo-infra/server.py[21-40]
ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools
CodeAnt Nitpicks1 code suggestion1. Valid JSON
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User description
Updates for foolproof recording
CodeAnt-AI Description
Make demo setup reliable with Groq support and predictable local agent triggers
What Changed
Impact
✅ Fewer demo webhook failures✅ Groq models work with streaming responses✅ One-command dashboard shutdown💡 Usage Guide
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