Benchmark: nosta koodigeneroinnin token-raja 4096 → 8192
gemma4:e4b tuotti 323 riviä ja tokenit loppuivat kesken, pyproject.toml ei mahtunut vastaukseen.
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@@ -283,7 +283,7 @@ async function runPipeline(model, scenario) {
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// 3. LLM-koodigenerointi
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// 3. LLM-koodigenerointi
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console.log(` [3/5] Koodigenerointi (LLM)...`);
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console.log(` [3/5] Koodigenerointi (LLM)...`);
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const codePrompt = `PROJECT REQUIREMENTS:\n${req.text}\n\nJSON SPECIFICATION:\n${JSON.stringify(spec, null, 2)}\n\nGenerate the complete project with all 5 files.`;
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const codePrompt = `PROJECT REQUIREMENTS:\n${req.text}\n\nJSON SPECIFICATION:\n${JSON.stringify(spec, null, 2)}\n\nGenerate the complete project with all 5 files.`;
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const codeResp = await ollamaChat(model, codePrompt, CODE_SYSTEM, 4096);
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const codeResp = await ollamaChat(model, codePrompt, CODE_SYSTEM, 8192);
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timings.push(codeResp);
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timings.push(codeResp);
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writeFileSync(`${dir}/_code_raw.txt`, codeResp.text);
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writeFileSync(`${dir}/_code_raw.txt`, codeResp.text);
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const files = parseGeneratedFiles(codeResp.text);
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const files = parseGeneratedFiles(codeResp.text);
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