Per-agentti sampling-parametrit: temperature, top-k, max tokens, repetition penalty

Jokainen agentti saa omat parametrit jotka näkyvät avatarin konfigurointipaneelissa:
- Temperature: Manageri 0.5 (tarkka), Koodari 0.7, Testaaja 0.3 (deterministinen)
- Max tokens: Manageri 512, Koodari 1024, Testaaja 512
- Top-K ja Repetition penalty per agentti
- Sliderit reaaliaikaisilla arvoilla

Parametrit tallentuvat localStorageen agentin mukana.
Perustelut: manageri ja testaaja hyötyvät matalasta temperaturesta
(determinismi tärkeää), koodari tarvitsee enemmän tokeneita ja
hieman korkeamman temperaturen luovempiin ratkaisuihin.

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

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

@@ -62,33 +62,39 @@ import Settings from "../components/Settings.astro";
     // === Globaalit tilat ===
     const defaultAgents = {
         manager: { name: 'Manageri', avatar: '/avatars/karhunpentu.png', model: 'qwen-coder', order: 0,
+            temperature: 0.5, topK: 40, repeatPenalty: 1.15, maxTokens: 512,
             prompt: `You are a senior project manager and software architect.
 Break the project into individual source files. List dependencies first (models before app).
 Use pyproject.toml for Python dependencies (not requirements.txt).
 Max 4-5 files. Only filenames, no directories. Format: filename.py: description` },
         coder: { name: 'Koodari', avatar: '/avatars/kipina_notext.png', model: 'qwen-coder', order: 1,
+            temperature: 0.7, topK: 40, repeatPenalty: 1.15, maxTokens: 1024,
             prompt: `You are an expert Python/Rust developer. Write complete, working code with ALL necessary imports.
 Use separate names for Pydantic schemas (e.g. UserCreate, UserResponse) and SQLAlchemy models (e.g. User).
 Always import from other project files when they exist (e.g. from models import User, SessionLocal).
 Use modern Python: type hints, async/await for FastAPI, f-strings.
 No explanations, no comments unless complex logic. Only code.` },
         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 and data engineer.
 Design normalized schemas with proper relationships, indexes, and constraints.
 Use SQLAlchemy ORM. Define engine, SessionLocal, and Base in a shared database.py.
 Include migration-friendly patterns. Write complete code with all imports.` },
         qa: { name: 'QA', avatar: '/avatars/susi_notext.png', model: 'qwen-coder', order: 3,
+            temperature: 0.4, topK: 40, repeatPenalty: 1.15, maxTokens: 1024,
             prompt: `You are a QA engineer specializing in automated testing.
 Write pytest tests covering happy paths, edge cases, and error handling.
 Test API endpoints with TestClient. Mock external dependencies.
 Verify status codes, response schemas, and database state after operations.` },
         tester: { name: 'DevOps', avatar: '/avatars/laiskiainen_notext.png', model: 'qwen-coder', order: 4,
+            temperature: 0.3, topK: 40, repeatPenalty: 1.1, maxTokens: 512,
             prompt: `You are a code reviewer and DevOps engineer.
 Review code for: missing imports, name conflicts, unhandled errors, security issues.
 Check that all files are consistent (imports match exports).
 If code is correct, say "LGTM". Otherwise list specific issues with file:line references.
 Be brief and actionable.` },
         observer: { name: 'Tarkkailija', avatar: '/avatars/aikuinen_susi.png', model: 'qwen-coder', order: 5,
+            temperature: 0.6, topK: 40, repeatPenalty: 1.15, maxTokens: 512,
             prompt: `You are an independent technical observer and risk analyst.
 Monitor the team output for: architectural issues, security vulnerabilities, missing error handling,
 inconsistent patterns, and scope creep. Flag critical risks immediately.
@@ -151,6 +157,21 @@ Provide a brief risk assessment with severity (low/medium/high/critical).` },
         document.getElementById('config-model').value = a.model;
         document.getElementById('config-prompt').value = a.prompt || '';
 
+        // Sampling-parametrit
+        const tempEl = document.getElementById('config-temperature');
+        const tempValEl = document.getElementById('config-temp-val');
+        const maxtokEl = document.getElementById('config-maxtokens');
+        const maxtokValEl = document.getElementById('config-maxtok-val');
+        const topkEl = document.getElementById('config-topk');
+        const topkValEl = document.getElementById('config-topk-val');
+        const repEl = document.getElementById('config-repeat');
+        const repValEl = document.getElementById('config-rep-val');
+
+        tempEl.value = a.temperature ?? 0.7; tempValEl.textContent = tempEl.value;
+        maxtokEl.value = a.maxTokens ?? 1024; maxtokValEl.textContent = maxtokEl.value;
+        topkEl.value = a.topK ?? 40; topkValEl.textContent = topkEl.value;
+        repEl.value = a.repeatPenalty ?? 1.15; repValEl.textContent = repEl.value;
+
         // Pipeline-järjestys
         const pipeline = document.getElementById('config-pipeline');
         const sorted = Object.entries(agents).sort((a,b) => (a[1].order||0) - (b[1].order||0));
@@ -162,6 +183,10 @@ Provide a brief risk assessment with severity (low/medium/high/critical).` },
         document.getElementById('config-name').oninput = () => { agents[key].name = document.getElementById('config-name').value; saveAgents(); renderAgentBar(); };
         document.getElementById('config-model').onchange = () => { agents[key].model = document.getElementById('config-model').value; saveAgents(); };
         document.getElementById('config-prompt').oninput = () => { agents[key].prompt = document.getElementById('config-prompt').value; saveAgents(); };
+        tempEl.oninput = () => { agents[key].temperature = +tempEl.value; tempValEl.textContent = tempEl.value; saveAgents(); };
+        maxtokEl.oninput = () => { agents[key].maxTokens = +maxtokEl.value; maxtokValEl.textContent = maxtokEl.value; saveAgents(); };
+        topkEl.oninput = () => { agents[key].topK = +topkEl.value; topkValEl.textContent = topkEl.value; saveAgents(); };
+        repEl.oninput = () => { agents[key].repeatPenalty = +repEl.value; repValEl.textContent = repEl.value; saveAgents(); };
     };
 
     window.closeAgentConfig = function() { selectedAgent = null; document.getElementById('agent-config').style.display = 'none'; renderAgentBar(); };