a43cc099cd
Virgil split go-ai into standalone modules (go-agentic, go-ml, go-mlx, go-rag). This migrates all CLI imports to the new module paths and fixes API mismatches from the split. Key changes: - go-ai/agentic → go-agentic (cmd/ai, cmd/dev) - go-ai/ml → go-ml (31 files in cmd/ml) - go-ai/rag → go-rag (3 files in cmd/rag) - go-ai/mlx → go-mlx (1 file) - Fix go.work path (../core → ../go) - Add all split repos to go.work and go.mod - Simplify daemon to goroutine-based MCP (remove missing supervisor) - Wire go-agentic SQLiteRegistry into dispatch watch (--agent-id flag) - Add `core ai agent fleet` command for local registry status - Fix rag collections API (PointCount, Status string) - Fix ml live/expand-status to use available go-ml API Co-Authored-By: Charon <charon@lethean.io>
67 lines
2.5 KiB
Go
67 lines
2.5 KiB
Go
package ml
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import (
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"forge.lthn.ai/core/go/pkg/cli"
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"forge.lthn.ai/core/go-ml"
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)
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var (
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agentM3Host string
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agentM3User string
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agentM3SSHKey string
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agentM3AdapterBase string
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agentBaseModel string
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agentPollInterval int
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agentWorkDir string
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agentFilter string
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agentForce bool
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agentOneShot bool
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agentDryRun bool
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)
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var agentCmd = &cli.Command{
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Use: "agent",
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Short: "Run the scoring agent daemon",
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Long: "Polls M3 for unscored LoRA checkpoints, converts, probes, and pushes results to InfluxDB.",
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RunE: runAgent,
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}
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func init() {
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agentCmd.Flags().StringVar(&agentM3Host, "m3-host", ml.EnvOr("M3_HOST", "10.69.69.108"), "M3 host address")
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agentCmd.Flags().StringVar(&agentM3User, "m3-user", ml.EnvOr("M3_USER", "claude"), "M3 SSH user")
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agentCmd.Flags().StringVar(&agentM3SSHKey, "m3-ssh-key", ml.EnvOr("M3_SSH_KEY", ml.ExpandHome("~/.ssh/id_ed25519")), "SSH key for M3")
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agentCmd.Flags().StringVar(&agentM3AdapterBase, "m3-adapter-base", ml.EnvOr("M3_ADAPTER_BASE", "/Volumes/Data/lem"), "Adapter base dir on M3")
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agentCmd.Flags().StringVar(&agentBaseModel, "base-model", ml.EnvOr("BASE_MODEL", "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B"), "HuggingFace base model ID")
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agentCmd.Flags().IntVar(&agentPollInterval, "poll", ml.IntEnvOr("POLL_INTERVAL", 300), "Poll interval in seconds")
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agentCmd.Flags().StringVar(&agentWorkDir, "work-dir", ml.EnvOr("WORK_DIR", "/tmp/scoring-agent"), "Working directory for adapters")
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agentCmd.Flags().StringVar(&agentFilter, "filter", "", "Filter adapter dirs by prefix")
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agentCmd.Flags().BoolVar(&agentForce, "force", false, "Re-score already-scored checkpoints")
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agentCmd.Flags().BoolVar(&agentOneShot, "one-shot", false, "Process one checkpoint and exit")
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agentCmd.Flags().BoolVar(&agentDryRun, "dry-run", false, "Discover and plan but don't execute")
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}
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func runAgent(cmd *cli.Command, args []string) error {
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cfg := &ml.AgentConfig{
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M3Host: agentM3Host,
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M3User: agentM3User,
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M3SSHKey: agentM3SSHKey,
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M3AdapterBase: agentM3AdapterBase,
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InfluxURL: influxURL,
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InfluxDB: influxDB,
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DBPath: dbPath,
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APIURL: apiURL,
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JudgeURL: judgeURL,
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JudgeModel: judgeModel,
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Model: modelName,
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BaseModel: agentBaseModel,
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PollInterval: agentPollInterval,
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WorkDir: agentWorkDir,
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Filter: agentFilter,
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Force: agentForce,
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OneShot: agentOneShot,
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DryRun: agentDryRun,
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}
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ml.RunAgentLoop(cfg)
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return nil
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}
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