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feat: auto-project-detection + project stages

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Three changes:

1. ABB-Space registered as a lead project with stage=lead in
   Trusted Project State. Projects now have lifecycle awareness
   (lead/proposition vs active contract vs completed).

2. Extraction no longer drops unregistered project tags. When the
   LLM extractor sees a conversation about a project not in the
   registry, it keeps the model's tag on the candidate instead of
   falling back to empty. This enables auto-detection of new
   projects/leads from organic conversations. The nightly pipeline
   surfaces these candidates for triage, where the operator sees
   "hey, there's a new project called X" and can decide whether
   to register it.

3. Extraction prompt updated to tell the model: "If the conversation
   discusses a project NOT in the known list, still tag it — the
   system will auto-detect it." This removes the artificial ceiling
   that prevented new project discovery.

Updated Case D test: unregistered + unscoped now keeps the model's
tag instead of dropping to empty.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Anto01
2026-04-13 17:16:04 -04:00
parent 3f18ba3b35
commit c57617f611
3 changed files with 22 additions and 9 deletions
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17
src/atocore/memory/extractor_llm.py
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@@ -74,7 +74,7 @@ _SYSTEM_PROMPT = """You extract durable memory candidates from LLM conversation
AtoCore stores two kinds of knowledge:
A. PROJECT-SPECIFIC: applied decisions, constraints, and architecture for a named project (p04-gigabit, p05-interferometer, p06-polisher, atomizer-v2, atocore). These stay scoped to one project.
A. PROJECT-SPECIFIC: applied decisions, constraints, and architecture for a named project. Known projects include p04-gigabit, p05-interferometer, p06-polisher, atomizer-v2, atocore, abb-space. If the conversation discusses a project NOT in this list, still tag it with the project name you identify — the system will auto-detect it as a new project or lead.
B. DOMAIN KNOWLEDGE: generalizable engineering insight that was EARNED through project work and is reusable across projects. Tag these with a domain instead of a project.
@@ -291,9 +291,20 @@ def _parse_candidates(raw_output: str, interaction: Interaction) -> list[MemoryC
registered_ids = {p.project_id for p in load_project_registry()}
resolved = resolve_project_name(model_project)
project = resolved if resolved in registered_ids else ""
if resolved in registered_ids:
project = resolved
else:
# Unregistered project — keep the model's tag so
# auto-triage / the operator can see it and decide
# whether to register it as a new project or lead.
project = model_project
log.info(
"unregistered_project_detected",
model_project=model_project,
interaction_id=interaction.id,
)
except Exception:
project = ""
project = model_project if model_project else ""
else:
project = ""
domain = str(item.get("domain") or "").strip().lower()