dtoro
532310bb4b
Adds the compounding knowledge loop the task model is built around: - complete_task(outcome, summary): a nomos-LOCAL, session-scoped tool (the shared MCP server has no session id). Introduces the local-tool mechanism — buildTools appends task tools, the agent loop routes them to handleTaskTool instead of the MCP client. Sets the task's terminal status/outcome/summary, mirrors it onto the task entity, and emits task.status. - Knowledge → task linkage: after a successful upsert_knowledge in a task, nomos links the note to the task entity (documents) and emits knowledge.recorded, so the task's outcome view shows what it learned. The note's about-link to the involved entity (written by upsert_knowledge) is the retrieval path future tasks use. - SOUL: every chat is a task loop — retrieve prior knowledge FIRST (get_entity_knowledge on the target), plan, execute, record learnings, then complete_task. Scales down for trivial read-only tasks. - deleteSession now cleans up the task entity, its relationships, and its task-scoped events (was orphaning them); the knowledge doc itself and its about-links survive, as knowledge should outlive the task. Verified end-to-end: a task recorded a note and completed; task.status + knowledge.recorded hit the SSE stream; status=done/outcome=success persisted; the note linked to both lxc:caddy (retrieval) and the task; a future get_entity_knowledge(lxc:caddy) surfaces it; delete cleaned edges+events (0/0/0) while the knowledge survived. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
73 lines
2.3 KiB
Go
73 lines
2.3 KiB
Go
package main
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import (
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"context"
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"fmt"
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)
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// Task tools are nomos-LOCAL, not MCP tools. They are session-scoped, and the
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// shared MCP server (api:8090/mcp) has no session id — so these are handled
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// in-process by nomos, which knows the session/task and holds the store.
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// buildTools appends these to the model's tool list; the agent loop routes a
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// call whose name isTaskTool to handleTaskTool instead of the MCP client.
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//
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// Phase 3 ships complete_task; set_goal / propose_plan / update_plan_step /
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// ask_operator land in later phases through the same mechanism.
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func taskToolDefs() []toolDef {
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return []toolDef{
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{
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Name: "complete_task",
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Description: "Mark the current task finished. Call this once the goal is " +
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"verified done — or when you've genuinely failed or only partially " +
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"succeeded. Sets the task's outcome and a one-line summary shown on the " +
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"task board. Record what you learned with upsert_knowledge BEFORE " +
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"completing, so future tasks on the same entities benefit.",
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InputSchema: map[string]any{
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"type": "object",
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"properties": map[string]any{
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"outcome": map[string]any{
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"type": "string",
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"enum": []string{"success", "failure", "partial"},
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"description": "Did the task achieve its goal?",
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},
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"summary": map[string]any{
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"type": "string",
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"description": "One line describing the result (shown on the task card).",
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},
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},
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"required": []string{"outcome", "summary"},
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},
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},
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}
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}
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func isTaskTool(name string) bool {
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switch name {
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case "complete_task":
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return true
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default:
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return false
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}
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}
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// handleTaskTool executes a nomos-local task tool. Returns (result, true) if it
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// handled the call, or (nil, false) if name is not a local task tool (so the
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// caller forwards it to the MCP client).
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func (a *agent) handleTaskTool(ctx context.Context, sessionID, name string, args map[string]any) (any, bool) {
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switch name {
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case "complete_task":
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outcome, _ := args["outcome"].(string)
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summary, _ := args["summary"].(string)
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if outcome == "" {
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outcome = "success"
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}
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if err := a.store.completeTask(ctx, sessionID, outcome, summary); err != nil {
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return fmt.Sprintf("error completing task: %v", err), true
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}
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return fmt.Sprintf("Task marked %s: %s", outcome, summary), true
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default:
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return nil, false
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}
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}
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