b10f311de8
Implements Module H for AGE OS: open-source model fine-tuning engine that runs in parallel with existing RAG training system. Tools: - finetuneExportDataset: Convert TCS corpus to JSONL fine-tuning format - finetuneSubmitJob: Submit jobs to DeepSeek/Qwen fine-tuning APIs - finetuneCheckStatus: Query job progress from provider APIs - finetuneRegisterModel: Register completed fine-tuned models - finetuneListModels: List registered models per persona - finetuneCallModel: Inference with fallback to base model - finetuneCompareModels: A/B test finetuned vs base model - finetuneGetCostEstimate: Estimate training cost in RMB Follows existing training-agent-ops.js patterns: raw https module, crypto.randomBytes for IDs, COS bucket storage, LLM_CONFIGS structure. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: qinfendebingshuo <207279273+qinfendebingshuo@users.noreply.github.com> |
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| .. | ||
| agents | ||
| mcp-server | ||
| schema | ||
| scripts | ||
| ecosystem.brain.config.js | ||
| ecosystem.config.js | ||
| package.json | ||