5ff4b8a2eb
Port LEM scoring/training pipeline into CoreGo as pkg/ml with: - Inference abstraction with HTTP, llama-server, and Ollama backends - 3-tier scoring engine (heuristic, exact, LLM judge) - Capability and content probes for model evaluation - GGUF/safetensors format converters, MLX to PEFT adapter conversion - DuckDB integration for training data pipeline - InfluxDB metrics for lab dashboard - Training data export (JSONL + Parquet) - Expansion generation pipeline with distributed workers - 10 CLI commands under 'core ml' (score, probe, export, expand, status, gguf, convert, agent, worker) - 5 MCP tools (ml_generate, ml_score, ml_probe, ml_status, ml_backends) All 37 ML tests passing. Binary builds at 138MB with all commands. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
1 KiB
Modula-2
30 lines
1 KiB
Modula-2
module forge.lthn.ai/core/cli/internal/bugseti/updater
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go 1.25.5
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require (
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forge.lthn.ai/core/cli/internal/bugseti v0.0.0
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golang.org/x/mod v0.32.0
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)
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require (
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codeberg.org/mvdkleijn/forgejo-sdk/forgejo/v2 v2.2.0 // indirect
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github.com/42wim/httpsig v1.2.3 // indirect
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github.com/bahlo/generic-list-go v0.2.0 // indirect
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github.com/buger/jsonparser v1.1.1 // indirect
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github.com/davidmz/go-pageant v1.0.2 // indirect
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github.com/go-fed/httpsig v1.1.0 // indirect
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github.com/google/uuid v1.6.0 // indirect
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github.com/hashicorp/go-version v1.7.0 // indirect
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github.com/invopop/jsonschema v0.13.0 // indirect
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github.com/mailru/easyjson v0.9.1 // indirect
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github.com/mark3labs/mcp-go v0.43.2 // indirect
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github.com/spf13/cast v1.10.0 // indirect
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github.com/wk8/go-ordered-map/v2 v2.1.8 // indirect
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github.com/yosida95/uritemplate/v3 v3.0.2 // indirect
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golang.org/x/crypto v0.47.0 // indirect
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golang.org/x/sys v0.40.0 // indirect
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gopkg.in/yaml.v3 v3.0.1 // indirect
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)
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replace forge.lthn.ai/core/cli/internal/bugseti => ../
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