Files
ATOCore/docs/master-plan-status.md
Anto01 ea3fed3d44 feat(phase9-A): interaction capture loop foundation
Phase 9 Commit A from the agreed plan: turn AtoCore from a stateless
context enhancer into a system that records what it actually fed to an
LLM and what came back. This is the audit trail Reflection (Commit B)
and Extraction (Commit C) will be layered on top of.

The interactions table existed in the schema since the original PoC
but nothing wrote to it. This change makes it real:

Schema migration (additive only):
- response                full LLM response (caller decides how much)
- memories_used           JSON list of memory ids in the context pack
- chunks_used             JSON list of chunk ids in the context pack
- client                  identifier of the calling system
                          (openclaw, claude-code, manual, ...)
- session_id              groups multi-turn conversations
- project                 project name (mirrors the memory module pattern,
                          no FK so capture stays cheap)
- indexes on session_id, project, created_at

The created_at column is now written explicitly with a SQLite-compatible
'YYYY-MM-DD HH:MM:SS' format so the same string lives in the DB and the
returned dataclass. Without this the `since` filter on list_interactions
would silently fail because CURRENT_TIMESTAMP and isoformat use different
shapes that do not compare cleanly as strings.

New module src/atocore/interactions/:
- Interaction dataclass
- record_interaction()    persists one round-trip (prompt required;
                          everything else optional). Refuses empty prompts.
- list_interactions()     filters by project / session_id / client / since,
                          newest-first, hard-capped at 500
- get_interaction()       fetch by id, full response + context pack

API endpoints:
- POST   /interactions                capture one interaction
- GET    /interactions                list with summaries (no full response)
- GET    /interactions/{id}           full record incl. response + pack

Trust model:
- Capture is read-only with respect to memories, project state, and
  source chunks. Nothing here promotes anything into trusted state.
- The audit trail becomes the dataset Commit B (reinforcement) and
  Commit C (extraction + review queue) will operate on.

Tests (13 new, all green):
- service: persist + roundtrip every field
- service: minimum-fields path (prompt only)
- service: empty / whitespace prompt rejected
- service: get by id returns None for missing
- service: filter by project, session, client
- service: ordering newest-first with limit
- service: since filter inclusive on cutoff (the bug the timestamp
  fix above caught)
- service: limit=0 returns empty
- API: POST records and round-trips through GET /interactions/{id}
- API: empty prompt returns 400
- API: missing id returns 404
- API: list filter returns summaries (not full response bodies)

Full suite: 118 passing (was 105).

master-plan-status.md updated to move Phase 9 from "not started" to
"started" with the explicit note that Commit A is in and Commits B/C
remain.
2026-04-06 19:31:43 -04:00

131 lines
3.7 KiB
Markdown

# AtoCore Master Plan Status
## Current Position
AtoCore is currently between **Phase 7** and **Phase 8**.
The platform is no longer just a proof of concept. The local engine exists, the
core correctness pass is complete, Dalidou hosts the canonical runtime and
machine database, and OpenClaw on the T420 can consume AtoCore safely in
read-only additive mode.
## Phase Status
### Completed
- Phase 0 - Foundation
- Phase 0.5 - Proof of Concept
- Phase 1 - Ingestion
### Baseline Complete
- Phase 2 - Memory Core
- Phase 3 - Retrieval
- Phase 5 - Project State
- Phase 7 - Context Builder
### Partial
- Phase 4 - Identity / Preferences
- Phase 8 - OpenClaw Integration
### Started
- Phase 9 - Reflection (Commit A: capture loop in place; Commits B/C
reinforcement and extraction still pending)
### Not Yet Complete In The Intended Sense
- Phase 6 - AtoDrive
- Phase 10 - Write-back
- Phase 11 - Multi-model
- Phase 12 - Evaluation
- Phase 13 - Hardening
## What Is Real Today
- canonical AtoCore runtime on Dalidou
- canonical machine DB and vector store on Dalidou
- project registry with:
- template
- proposal preview
- register
- update
- refresh
- read-only additive OpenClaw helper on the T420
- seeded project corpus for:
- `p04-gigabit`
- `p05-interferometer`
- `p06-polisher`
- conservative Trusted Project State for those active projects
- first operational backup foundation for SQLite + project registry
- implementation-facing architecture notes for future engineering knowledge work
- first organic routing layer in OpenClaw via:
- `detect-project`
- `auto-context`
## Now
These are the current practical priorities.
1. Finish practical OpenClaw integration
- make the helper lifecycle feel natural in daily use
- use the new organic routing layer for project-knowledge questions
- confirm fail-open behavior remains acceptable
- keep AtoCore clearly additive
2. Tighten retrieval quality
- reduce cross-project competition
- improve ranking on short or ambiguous prompts
- add only a few anchor docs where retrieval is still weak
3. Continue controlled ingestion
- deepen active projects selectively
- avoid noisy bulk corpus growth
4. Strengthen operational boringness
- backup and restore procedure
- Chroma rebuild / backup policy
- retention and restore validation
## Next
These are the next major layers after the current practical pass.
1. Clarify AtoDrive as a real operational truth layer
2. Mature identity / preferences handling
3. Improve observability for:
- retrieval quality
- context-pack inspection
- comparison of behavior with and without AtoCore
## Later
These are the deliberate future expansions already supported by the architecture
direction, but not yet ready for immediate implementation.
1. Minimal engineering knowledge layer
- driven by `docs/architecture/engineering-knowledge-hybrid-architecture.md`
- guided by `docs/architecture/engineering-ontology-v1.md`
2. Minimal typed objects and relationships
3. Evidence-linking and provenance-rich structured records
4. Human mirror generation from structured state
## Not Yet
These remain intentionally deferred.
- automatic write-back from OpenClaw into AtoCore
- automatic memory promotion
- reflection loop integration
- replacing OpenClaw's own memory system
- live machine-DB sync between machines
- full ontology / graph expansion before the current baseline is stable
## Working Rule
The next sensible implementation threshold for the engineering ontology work is:
- after the current ingestion, retrieval, registry, OpenClaw helper, organic
routing, and backup baseline feels boring and dependable
Until then, the architecture docs should shape decisions, not force premature
schema work.