uv kauttaaltaan + Tarkkailijan raportti rakenteelliseksi markdowniksi

uv-päivitykset:
- Koodarin NEVER-lista: ei requirements.txt, ei pip, käytä uv
- Template pyproject.toml: PEP 621, uv-yhteensopiva
- Raportin Quick Start: uv sync + uv run uvicorn

Tarkkailijan raportti uudessa formaatissa:
- Overview (yksi kappale)
- Files (taulukko: tiedosto + tarkoitus)
- Quick Start (uv-komennot koodiblokissa)
- Docker (build + run koodiblokissa)
- API Endpoints (taulukko: method, path, description)
- Architecture (rakenne ja päätökset)
- Risk Assessment (taulukko: severity, issue)

Malli saa taulukkopohjat valmiina → täyttää ne oikealla datalla.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

network-poc/frontend/src/pages/index.astro

@@ -101,7 +101,9 @@ NEVER:
 - Add explanations or comments like "# Add routes here"
 - Leave placeholder code or TODO comments
 - Use Flask syntax (app.run) in FastAPI projects
-- Forget to import from other project files` },
+- Forget to import from other project files
+- Use requirements.txt or Poetry — always use pyproject.toml with [project] format (PEP 621)
+- Use pip install — use uv (e.g. uv run uvicorn main:app --reload)` },
         data: { name: 'Data', avatar: '/avatars/pesukarhu_notext.png', model: 'qwen-coder', order: 2,
             temperature: 0.5, topK: 40, repeatPenalty: 1.15, maxTokens: 1024,
             prompt: `You are a database architect specializing in SQLAlchemy and relational databases.
@@ -878,15 +880,29 @@ OUTPUT FORMAT:
             highlightAgent('observer');
             explainStep('Raportti', `${obs.name} kokoaa yhteenvedon ja antaa arvosanan.`);
             const finalCode = Object.entries(files).map(([n,c]) => `--- ${n} ---\n${c}`).join('\n\n');
+            const fileList = Object.keys(files).join(', ');
             const obsPrompt = (obs.prompt ? obs.prompt+'\n\n' : '') +
-                `Write a project README.md report in markdown for: ${task}\n\n` +
-                `IMPORTANT: Start the FIRST LINE with exactly one of these verdicts:\n` +
-                `VERDICT: GREEN — project is production-ready, no issues\n` +
-                `VERDICT: ORANGE — project works but has warnings or improvements needed\n` +
-                `VERDICT: RED — project has critical issues that must be fixed\n\n` +
-                `Then include:\n` +
-                `# Project: ${task}\n` +
-                `## Files\n## How to run\n## API Endpoints\n## Architecture\n## Risk assessment\n\n` +
+                `Write a project report in clean markdown for: ${task}\n\n` +
+                `FIRST LINE must be exactly one of:\n` +
+                `VERDICT: GREEN\nVERDICT: ORANGE\nVERDICT: RED\n\n` +
+                `Then write this report:\n\n` +
+                `# ${task}\n\n` +
+                `## Overview\nOne paragraph describing what this project does.\n\n` +
+                `## Files\n| File | Purpose |\n|------|---------|` +
+                Object.entries(files).map(([n]) => `\n| ${n} | ... |`).join('') + `\n\n` +
+                `## Quick Start\n` +
+                '```bash\n' +
+                `git clone <repo>\ncd project\nuv sync\nuv run uvicorn main:app --reload\n` +
+                '```\n\n' +
+                `## Docker\n` +
+                '```bash\n' +
+                `docker build -t ${task.toLowerCase().replace(/[^a-z0-9]/g, '-')} .\ndocker run -p 8000:8000 ${task.toLowerCase().replace(/[^a-z0-9]/g, '-')}\n` +
+                '```\n\n' +
+                `## API Endpoints\n| Method | Path | Description |\n|--------|------|-------------|` +
+                `\n| POST | /items/ | Create |\n| GET | /items/ | List all |\n| GET | /items/{id} | Get by ID |\n| PUT | /items/{id} | Update |\n| DELETE | /items/{id} | Delete |\n` +
+                `(Adapt paths and descriptions to match the actual code)\n\n` +
+                `## Architecture\nDescribe the project structure and design decisions.\n\n` +
+                `## Risk Assessment\n| Severity | Issue |\n|----------|-------|\n| ... | ... |\n\n` +
                 `Project code:\n${finalCode}`;
             const readme = await kpnRun(obs.model, obsPrompt);
             if (readme) {