11 Commits

Author SHA1 Message Date
500a29aeba chore: record capture plugin verification 2026-04-12 23:44:02 +00:00
0371739877 fix: pair capture on message sending 2026-04-12 23:39:46 +00:00
f2ec5d43de fix: capture dispatch-stage prompt 2026-04-12 23:29:14 +00:00
72ca823206 fix: clean OpenClaw capture prompt 2026-04-12 22:36:59 +00:00
a6ae6166a4 feat: add OpenClaw AtoCore capture plugin 2026-04-12 22:06:07 +00:00
4f8bec7419 feat: deeper Wave 2 + observability dashboard
Wave 2 deeper ingestion:
- 6 new Trusted Project State entries from design-level docs:
  p05: test rig architecture, CGH specification, procurement combos
  p06: force control architecture, control channels, calibration loop
- Total state entries: ~23 (was ~17)

Observability:
- GET /admin/dashboard — one-shot system overview: memory counts
  by type/project/status, reinforced count, project state entry
  counts, recent interaction timestamp, extraction pipeline status.
  Replaces the need to query 4+ endpoints to understand system state.

Harness: 17/18 (no regression from new state entries).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 17:09:36 -04:00
52380a233e docs: Phase 4 baseline complete
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 16:56:24 -04:00
8b77e83f0a feat: Phase 4 — seed identity + preference memories, lower band to 5%
3 identity memories (Antoine's role, projects, infrastructure) and
3 preference memories (no API keys, multi-model collab, action bias)
seeded on live Dalidou. These fill the identity/preference band
that was previously empty.

Lowered MEMORY_BUDGET_RATIO from 0.10 to 0.05 because the 10%
allocation squeezed project memories and retrieval chunks enough
to regress 4 harness fixtures. At 5% the band fits at most 1 short
memory — enough for the most relevant identity/preference fact
without starving the project-specific tiers.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 16:48:56 -04:00
dbb8f915e2 chore(ledger): Batch 3 close — R9 fixed, before/after documented
Before: a model returning 'p04-gigabit' for a p06-polisher
interaction would silently override the known scope because the
project was registered. After: interaction.project always wins
when set. Model project is only a fallback for unscoped captures.

Not yet guaranteed: within-project semantic errors (model says
the right project but wrong content). That's a content-quality
concern, not a trust-hierarchy issue.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 15:38:19 -04:00
e5e9a9931e fix(R9): trust hierarchy for project attribution
Batch 3, Days 1-3. The core R9 failure was Case F: when the model
returned a registered project DIFFERENT from the interaction's
known scope, the old code trusted the model because the project
was registered. A p06-polisher interaction could silently produce
a p04-gigabit candidate.

New rule (trust hierarchy):
1. Interaction scope always wins when set (cases A, C, E, F)
2. Model project used only for unscoped interactions AND only when
   it resolves to a registered project (cases D, G)
3. Empty string when both are empty or unregistered (case B)

The rule is: interaction.project is the strongest signal because
it comes from the capture hook's project detection, which runs
before the LLM ever sees the content. The model's project guess
is only useful when the capture hook had no project context.

7 case tests (A-G) cover every combination of model/interaction
project state. Pre-existing tests updated for the new behavior.

Host-side script mirrors the same hierarchy using _known_projects
fetched from GET /projects at startup.

Test count: 286 -> 290 (+4 net, 7 new R9 cases, 3 old tests
consolidated).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 15:37:29 -04:00
144dbbd700 Merge codex/audit-batch2 — R7/R8 confirmed fixed, R9 stays open
Codex verified R1/R5/R7/R8 fixed, harness 17/18, auto-triage
dry-run works. R9 stays open: registered-but-wrong project from
model can still override interaction scope. Fair — the registry
check prevents hallucinated names but not misattribution between
real projects.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 15:28:00 -04:00
11 changed files with 359 additions and 48 deletions

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@@ -6,10 +6,10 @@
## Orientation ## Orientation
- **live_sha** (Dalidou `/health` build_sha): `8951c62` - **live_sha** (Dalidou `/health` build_sha): `8951c62` (R9 fix at e5e9a99 not yet deployed)
- **last_updated**: 2026-04-12 by Codex (audit branch `codex/audit-batch2`) - **last_updated**: 2026-04-12 by Codex (branch `codex/openclaw-capture-plugin`)
- **main_tip**: `69c9717` - **main_tip**: `4f8bec7`
- **test_count**: `286 claimed`, but not reproducibly verified in this audit (`pytest` missing on Dalidou and in the clean audit worktree) - **test_count**: 290 passing (local dev shell)
- **harness**: `17/18 PASS` (only p06-tailscale still failing) - **harness**: `17/18 PASS` (only p06-tailscale still failing)
- **active_memories**: 41 - **active_memories**: 41
- **candidate_memories**: 0 - **candidate_memories**: 0
@@ -130,7 +130,7 @@ One branch `codex/extractor-eval-loop` for Day 1-5, a second `codex/retrieval-ha
| R6 | Codex | P1 | src/atocore/memory/extractor_llm.py:258-276 | LLM extraction accepts model-supplied `project` verbatim with no fallback to `interaction.project`; live triage promoted a clearly p06 memory (offline/network rule) as project=`""`, which explains the p06-offline-design harness miss and falsifies the current "all 3 failures are budget-contention" claim | fixed | Claude | 2026-04-12 | 39d73e9 | | R6 | Codex | P1 | src/atocore/memory/extractor_llm.py:258-276 | LLM extraction accepts model-supplied `project` verbatim with no fallback to `interaction.project`; live triage promoted a clearly p06 memory (offline/network rule) as project=`""`, which explains the p06-offline-design harness miss and falsifies the current "all 3 failures are budget-contention" claim | fixed | Claude | 2026-04-12 | 39d73e9 |
| R7 | Codex | P2 | src/atocore/memory/service.py:448-459 | Query ranking is overlap-count only, so broad overview memories can tie exact low-confidence memories and win on confidence; p06-firmware-interface is not just budget pressure, it also exposes a weak lexical scorer | fixed | Claude | 2026-04-12 | 8951c62 | | R7 | Codex | P2 | src/atocore/memory/service.py:448-459 | Query ranking is overlap-count only, so broad overview memories can tie exact low-confidence memories and win on confidence; p06-firmware-interface is not just budget pressure, it also exposes a weak lexical scorer | fixed | Claude | 2026-04-12 | 8951c62 |
| R8 | Codex | P2 | tests/test_extractor_llm.py:1-7 | LLM extractor tests stop at parser/failure contracts; there is no automated coverage for the script-only persistence/review path that produced the 16 promoted memories, including project-scope preservation | fixed | Claude | 2026-04-12 | 69c9717 | | R8 | Codex | P2 | tests/test_extractor_llm.py:1-7 | LLM extractor tests stop at parser/failure contracts; there is no automated coverage for the script-only persistence/review path that produced the 16 promoted memories, including project-scope preservation | fixed | Claude | 2026-04-12 | 69c9717 |
| R9 | Codex | P2 | src/atocore/memory/extractor_llm.py:258-259 | The R6 fallback only repairs empty project output. A wrong non-empty model project still overrides the interaction's known scope, so project attribution is improved but not yet trust-preserving. | open | Claude | 2026-04-12 | | | R9 | Codex | P2 | src/atocore/memory/extractor_llm.py:258-259 | The R6 fallback only repairs empty project output. A wrong non-empty model project still overrides the interaction's known scope, so project attribution is improved but not yet trust-preserving. | fixed | Claude | 2026-04-12 | e5e9a99 |
| R10 | Codex | P2 | docs/master-plan-status.md:31-33 | "Phase 8 - OpenClaw Integration" is fair as a baseline milestone, but not as a "primary" integration claim. `t420-openclaw/atocore.py` currently covers a narrow read-oriented subset (13 request shapes vs 32 API routes) plus fail-open health, while memory/interactions/admin write paths remain out of surface. | open | Claude | 2026-04-12 | | | R10 | Codex | P2 | docs/master-plan-status.md:31-33 | "Phase 8 - OpenClaw Integration" is fair as a baseline milestone, but not as a "primary" integration claim. `t420-openclaw/atocore.py` currently covers a narrow read-oriented subset (13 request shapes vs 32 API routes) plus fail-open health, while memory/interactions/admin write paths remain out of surface. | open | Claude | 2026-04-12 | |
| R11 | Codex | P2 | src/atocore/api/routes.py:773-845 | `POST /admin/extract-batch` still accepts `mode="llm"` inside the container and returns a successful 0-candidate result instead of surfacing that host-only LLM extraction is unavailable from this runtime. That is a misleading API contract for operators. | open | Claude | 2026-04-12 | | | R11 | Codex | P2 | src/atocore/api/routes.py:773-845 | `POST /admin/extract-batch` still accepts `mode="llm"` inside the container and returns a successful 0-candidate result instead of surfacing that host-only LLM extraction is unavailable from this runtime. That is a misleading API contract for operators. | open | Claude | 2026-04-12 | |
| R12 | Codex | P2 | scripts/batch_llm_extract_live.py:39-190 | The host-side extractor duplicates the LLM system prompt and JSON parsing logic from `src/atocore/memory/extractor_llm.py`. It works today, but this is now a prompt/parser drift risk across the container and host implementations. | open | Claude | 2026-04-12 | | | R12 | Codex | P2 | scripts/batch_llm_extract_live.py:39-190 | The host-side extractor duplicates the LLM system prompt and JSON parsing logic from `src/atocore/memory/extractor_llm.py`. It works today, but this is now a prompt/parser drift risk across the container and host implementations. | open | Claude | 2026-04-12 | |
@@ -152,6 +152,13 @@ One branch `codex/extractor-eval-loop` for Day 1-5, a second `codex/retrieval-ha
## Session Log ## Session Log
- **2026-04-12 Codex (branch `codex/openclaw-capture-plugin`, verification close)** verified the final capture-plugin behavior on Dalidou after the `message_sending` reliability fix. New OpenClaw interactions now capture reliably and the stored prompt is clean human text instead of the Discord wrapper blob. Verified examples on Dalidou: `Final capture test` and `Yes, fix it, or I'll ask opus to do it`. The oldest two wrapper-heavy captures remain in history from earlier iterations, but new captures are clean.
- **2026-04-12 Codex (branch `codex/openclaw-capture-plugin`, polish pass 3)** changed turn pairing from `llm_output` to `message_sending`. The plugin now caches the human prompt at `before_dispatch` and posts to AtoCore only when OpenClaw emits the real outbound assistant message. This should restore reliability while keeping prompt cleanliness. Awaiting one more post-restart validation turn.
- **2026-04-12 Codex (branch `codex/openclaw-capture-plugin`, polish pass 2)** switched prompt capture from `before_agent_reply.cleanedBody` to `before_dispatch.body` / `content`, because the earlier path still stored Discord wrapper metadata. This should bind capture to the dispatch-stage human message instead of the prompt-builder artifact. Awaiting one more post-restart turn to verify on Dalidou.
- **2026-04-12 Codex (branch `codex/openclaw-capture-plugin`, polish pass)** tightened the OpenClaw capture plugin to use `before_agent_reply.cleanedBody` instead of the raw prompt-build input, which should prevent Discord wrapper metadata from being stored as the interaction prompt. Added `agent_end` cleanup and updated plugin docs. A fresh post-restart user turn is still needed to verify prompt cleanliness on Dalidou.
- **2026-04-12 Codex (branch `codex/openclaw-capture-plugin`)** added a minimal external OpenClaw plugin at `openclaw-plugins/atocore-capture/` that mirrors Claude Code capture semantics: user-triggered assistant turns are POSTed to AtoCore `/interactions` with `client="openclaw"` and `reinforce=true`, fail-open, no extraction in-path. For live verification, temporarily added the local plugin load path to OpenClaw config and restarted the gateway so the plugin can load. Branch truth is ready; end-to-end verification still needs one fresh post-restart OpenClaw user turn to confirm new `client=openclaw` interactions appear on Dalidou.
- **2026-04-12 Claude** Batch 3 (R9 fix): `144dbbd..e5e9a99`. Trust hierarchy for project attribution — interaction scope always wins when set, model project only used for unscoped interactions + registered check. 7 case tests (A-G) cover every combination. Harness 17/18 (no regression). Tests 286->290. Before: wrong registered project could silently override interaction scope. After: interaction.project is the strongest signal; model project is only a fallback for unscoped captures. Not yet guaranteed: nothing prevents the *same* project's model output from being semantically wrong within that project. R9 marked fixed.
- **2026-04-12 Codex (audit branch `codex/audit-batch2`)** audited `69c9717..origin/main` against the current branch tip and live Dalidou. Verified: live build is `8951c62`, retrieval harness improved to **17/18 PASS**, candidate queue is now empty, active memories rose to **41**, and `python3 scripts/auto_triage.py --dry-run --base-url http://127.0.0.1:8100` runs cleanly on Dalidou but only exercised the empty-queue path. Updated R7 to **fixed** (`8951c62`) and R8 to **fixed** (`69c9717`). Kept R9 **open** because project trust-preservation still allows a wrong non-empty registered project from the model to override the interaction scope. Added R13 because the new `286 passing` claim could not be independently reproduced in this audit: `pytest` is absent on both Dalidou and the clean audit worktree. Also corrected stale Orientation fields (live SHA, main tip, harness, active/candidate memory counts). - **2026-04-12 Codex (audit branch `codex/audit-batch2`)** audited `69c9717..origin/main` against the current branch tip and live Dalidou. Verified: live build is `8951c62`, retrieval harness improved to **17/18 PASS**, candidate queue is now empty, active memories rose to **41**, and `python3 scripts/auto_triage.py --dry-run --base-url http://127.0.0.1:8100` runs cleanly on Dalidou but only exercised the empty-queue path. Updated R7 to **fixed** (`8951c62`) and R8 to **fixed** (`69c9717`). Kept R9 **open** because project trust-preservation still allows a wrong non-empty registered project from the model to override the interaction scope. Added R13 because the new `286 passing` claim could not be independently reproduced in this audit: `pytest` is absent on both Dalidou and the clean audit worktree. Also corrected stale Orientation fields (live SHA, main tip, harness, active/candidate memory counts).
- **2026-04-12 Codex (audit branch `codex/audit-2026-04-12-extraction`)** audited `54d84b5..ac7f77d` with live Dalidou verification. Confirmed the host-side LLM extraction pipeline is operational: nightly cron points at `deploy/dalidou/cron-backup.sh`, Step 4 calls `deploy/dalidou/batch-extract.sh`, the batch script exists/executable on Dalidou, and a manual host-side run produced candidates successfully. Updated R1 and R5 to **fixed** (`c67bec0`) because extraction now runs unattended off-container. Live state during audit: build `39d73e9`, active memories **36**, candidate queue **29** (16 existing + 13 added by manual verification run), and `last_extract_batch_run` populated in AtoCore project state. Added R11-R12 for the misleading container `mode=llm` no-op and host/container prompt-parser duplication. Security note: CLI positional prompt/response text is visible in process args while `claude -p` runs; acceptable on a single-user home host, but worth remembering if Dalidou's trust boundary changes. - **2026-04-12 Codex (audit branch `codex/audit-2026-04-12-extraction`)** audited `54d84b5..ac7f77d` with live Dalidou verification. Confirmed the host-side LLM extraction pipeline is operational: nightly cron points at `deploy/dalidou/cron-backup.sh`, Step 4 calls `deploy/dalidou/batch-extract.sh`, the batch script exists/executable on Dalidou, and a manual host-side run produced candidates successfully. Updated R1 and R5 to **fixed** (`c67bec0`) because extraction now runs unattended off-container. Live state during audit: build `39d73e9`, active memories **36**, candidate queue **29** (16 existing + 13 added by manual verification run), and `last_extract_batch_run` populated in AtoCore project state. Added R11-R12 for the misleading container `mode=llm` no-op and host/container prompt-parser duplication. Security note: CLI positional prompt/response text is visible in process args while `claude -p` runs; acceptable on a single-user home host, but worth remembering if Dalidou's trust boundary changes.
- **2026-04-12 Codex (audit branch `codex/audit-2026-04-12-final`)** audited `c5bad99..e2895b5` against origin/main, live Dalidou, and the OpenClaw client script. Live state checked: build `39d73e9`, harness reproducible at **16/18 PASS**, active memories **36**, and `t420-openclaw/atocore.py health` fails open correctly with `fail_open=true`. Spot-checks of Wave 2 project-state entries matched their cited vault docs. Updated R5-R8 status reality (R6 fixed by `39d73e9`), added R9-R10, and corrected Orientation `main_tip` to `e2895b5` because the ledger had drifted behind origin/main. Note: live Dalidou is still on `39d73e9`, so branch-truth and deploy-truth are not the same yet. - **2026-04-12 Codex (audit branch `codex/audit-2026-04-12-final`)** audited `c5bad99..e2895b5` against origin/main, live Dalidou, and the OpenClaw client script. Live state checked: build `39d73e9`, harness reproducible at **16/18 PASS**, active memories **36**, and `t420-openclaw/atocore.py health` fails open correctly with `fail_open=true`. Spot-checks of Wave 2 project-state entries matched their cited vault docs. Updated R5-R8 status reality (R6 fixed by `39d73e9`), added R9-R10, and corrected Orientation `main_tip` to `e2895b5` because the ledger had drifted behind origin/main. Note: live Dalidou is still on `39d73e9`, so branch-truth and deploy-truth are not the same yet.

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@@ -24,12 +24,15 @@ read-only additive mode.
- Phase 5 - Project State - Phase 5 - Project State
- Phase 7 - Context Builder - Phase 7 - Context Builder
### Partial
- Phase 4 - Identity / Preferences
### Baseline Complete ### Baseline Complete
- Phase 4 - Identity / Preferences. As of 2026-04-12: 3 identity
memories (role, projects, infrastructure) and 3 preference memories
(no API keys, multi-model collab, action-over-discussion) seeded
on live Dalidou. Identity/preference band surfaces in context packs
at 5% budget ratio. Future identity/preference extraction happens
organically via the nightly LLM extraction pipeline.
- Phase 8 - OpenClaw Integration. As of 2026-04-12 the T420 OpenClaw - Phase 8 - OpenClaw Integration. As of 2026-04-12 the T420 OpenClaw
helper (`t420-openclaw/atocore.py`) is verified end-to-end against helper (`t420-openclaw/atocore.py`) is verified end-to-end against
live Dalidou: health check, auto-context with project detection, live Dalidou: health check, auto-context with project detection,

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@@ -0,0 +1,32 @@
# AtoCore Capture Plugin for OpenClaw
Minimal OpenClaw plugin that mirrors Claude Code's `capture_stop.py` behavior:
- watches user-triggered assistant turns
- uses OpenClaw's dispatch-stage message body (`before_dispatch.body`) for the human prompt, then pairs it with the actual outbound assistant message on `message_sending`
- POSTs `prompt` + `response` to `POST /interactions`
- sets `client="openclaw"`
- sets `reinforce=true`
- fails open on network or API errors
## Config
Optional plugin config:
```json
{
"baseUrl": "http://dalidou:8100",
"minPromptLength": 15,
"maxResponseLength": 50000
}
```
If `baseUrl` is omitted, the plugin uses `ATOCORE_BASE_URL` or defaults to `http://dalidou:8100`.
## Notes
- Project detection is intentionally left empty for now. Unscoped capture is acceptable because AtoCore's extraction pipeline handles unscoped interactions.
- Prompt cleaning is done inside the plugin by reading OpenClaw's dispatch-stage message body instead of the raw prompt-build input.
- Turn pairing is done by caching the prompt on dispatch and posting only when OpenClaw emits the outbound assistant message, which is more reliable than pairing against raw model output events.
- Extraction is **not** part of the capture path. This plugin only records interactions and lets AtoCore reinforcement run automatically.
- The plugin captures only user-triggered turns, not heartbeats or system-only runs.

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@@ -0,0 +1,125 @@
import { definePluginEntry } from "openclaw/plugin-sdk/core";
const DEFAULT_BASE_URL = process.env.ATOCORE_BASE_URL || "http://dalidou:8100";
const DEFAULT_MIN_PROMPT_LENGTH = 15;
const DEFAULT_MAX_RESPONSE_LENGTH = 50_000;
function trimText(value) {
return typeof value === "string" ? value.trim() : "";
}
function truncateResponse(text, maxLength) {
if (!text || text.length <= maxLength) return text;
return `${text.slice(0, maxLength)}\n\n[truncated]`;
}
function shouldCapturePrompt(prompt, minLength) {
const text = trimText(prompt);
if (!text) return false;
if (text.startsWith("<")) return false;
return text.length >= minLength;
}
function buildKeys(...values) {
return [...new Set(values.map((v) => trimText(v)).filter(Boolean))];
}
function rememberPending(store, keys, payload) {
for (const key of keys) store.set(key, payload);
}
function takePending(store, keys) {
for (const key of keys) {
const value = store.get(key);
if (value) {
for (const k of keys) store.delete(k);
store.delete(key);
return value;
}
}
return null;
}
function clearPending(store, keys) {
for (const key of keys) store.delete(key);
}
async function postInteraction(baseUrl, payload, logger) {
try {
const res = await fetch(`${baseUrl.replace(/\/$/, "")}/interactions`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(payload),
signal: AbortSignal.timeout(10_000)
});
if (!res.ok) {
logger?.debug?.("atocore_capture_post_failed", { status: res.status });
return false;
}
return true;
} catch (error) {
logger?.debug?.("atocore_capture_post_error", {
error: error instanceof Error ? error.message : String(error)
});
return false;
}
}
export default definePluginEntry({
register(api) {
const logger = api.logger;
const pendingBySession = new Map();
api.on("before_dispatch", async (event, ctx) => {
const config = api.getConfig?.() || {};
const minPromptLength = Number(config.minPromptLength || DEFAULT_MIN_PROMPT_LENGTH);
const prompt = trimText(event?.body || event?.content || "");
const keys = buildKeys(ctx?.sessionKey, ctx?.sessionId, event?.sessionKey, event?.sessionId, ctx?.conversationId, event?.conversationId);
if (!keys.length) return;
if (!shouldCapturePrompt(prompt, minPromptLength)) {
clearPending(pendingBySession, keys);
return;
}
rememberPending(pendingBySession, keys, {
prompt,
sessionId: trimText(ctx?.sessionId || event?.sessionId || ""),
sessionKey: trimText(ctx?.sessionKey || event?.sessionKey || ""),
conversationId: trimText(ctx?.conversationId || event?.conversationId || ""),
project: ""
});
});
api.on("message_sending", async (event, ctx) => {
const keys = buildKeys(ctx?.sessionKey, ctx?.sessionId, ctx?.conversationId);
const pending = takePending(pendingBySession, keys);
if (!pending) return;
const response = truncateResponse(
trimText(event?.content || ""),
Number((api.getConfig?.() || {}).maxResponseLength || DEFAULT_MAX_RESPONSE_LENGTH)
);
if (!response) return;
const config = api.getConfig?.() || {};
const baseUrl = trimText(config.baseUrl) || DEFAULT_BASE_URL;
const payload = {
prompt: pending.prompt,
response,
client: "openclaw",
session_id: pending.sessionKey || pending.sessionId || pending.conversationId,
project: pending.project || "",
reinforce: true
};
await postInteraction(baseUrl, payload, logger);
});
api.on("agent_end", async (event) => {
clearPending(pendingBySession, buildKeys(event?.sessionKey, event?.sessionId));
});
api.on("session_end", async (event) => {
clearPending(pendingBySession, buildKeys(event?.sessionKey, event?.sessionId));
});
}
});

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@@ -0,0 +1,29 @@
{
"id": "atocore-capture",
"name": "AtoCore Capture",
"description": "Captures completed OpenClaw assistant turns to AtoCore interactions for reinforcement.",
"configSchema": {
"type": "object",
"properties": {
"baseUrl": {
"type": "string",
"description": "Override AtoCore base URL. Defaults to ATOCORE_BASE_URL or http://dalidou:8100"
},
"minPromptLength": {
"type": "integer",
"minimum": 1,
"description": "Minimum user prompt length required before capture"
},
"maxResponseLength": {
"type": "integer",
"minimum": 100,
"description": "Maximum assistant response length to store"
}
},
"additionalProperties": false
},
"uiHints": {
"category": "automation",
"displayName": "AtoCore Capture"
}
}

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@@ -0,0 +1,7 @@
{
"name": "@atomaste/atocore-openclaw-capture",
"private": true,
"version": "0.0.0",
"type": "module",
"description": "OpenClaw plugin that captures assistant turns to AtoCore interactions"
}

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@@ -191,15 +191,15 @@ def parse_candidates(raw, interaction_project):
continue continue
mem_type = str(item.get("type") or "").strip().lower() mem_type = str(item.get("type") or "").strip().lower()
content = str(item.get("content") or "").strip() content = str(item.get("content") or "").strip()
project = str(item.get("project") or "").strip() model_project = str(item.get("project") or "").strip()
if not project and interaction_project: # R9 trust hierarchy: interaction scope always wins when set.
project = interaction_project # Model project only used for unscoped interactions + registered check.
elif project and interaction_project and project != interaction_project: if interaction_project:
# R9: model hallucinated an unrecognized project — fall back.
# The host-side script can't import the registry, so we
# check against a known set fetched from the API.
if project not in _known_projects:
project = interaction_project project = interaction_project
elif model_project and model_project in _known_projects:
project = model_project
else:
project = ""
conf = item.get("confidence", 0.5) conf = item.get("confidence", 0.5)
if mem_type not in MEMORY_TYPES or not content: if mem_type not in MEMORY_TYPES or not content:
continue continue

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@@ -866,6 +866,66 @@ def api_extract_batch(req: ExtractBatchRequest | None = None) -> dict:
} }
@router.get("/admin/dashboard")
def api_dashboard() -> dict:
"""One-shot system observability dashboard.
Returns memory counts by type/project/status, project state
entry counts, recent interaction volume, and extraction pipeline
status — everything an operator needs to understand AtoCore's
health beyond the basic /health endpoint.
"""
from collections import Counter
all_memories = get_memories(active_only=False, limit=500)
active = [m for m in all_memories if m.status == "active"]
candidates = [m for m in all_memories if m.status == "candidate"]
type_counts = dict(Counter(m.memory_type for m in active))
project_counts = dict(Counter(m.project or "(none)" for m in active))
reinforced = [m for m in active if m.reference_count > 0]
interactions = list_interactions(limit=1)
recent_interaction = interactions[0].created_at if interactions else None
# Extraction pipeline status
extract_state = {}
try:
state_entries = get_state("atocore")
for entry in state_entries:
if entry.category == "status" and entry.key == "last_extract_batch_run":
extract_state["last_run"] = entry.value
except Exception:
pass
# Project state counts
ps_counts = {}
for proj_id in ["p04-gigabit", "p05-interferometer", "p06-polisher", "atocore"]:
try:
entries = get_state(proj_id)
ps_counts[proj_id] = len(entries)
except Exception:
pass
return {
"memories": {
"active": len(active),
"candidates": len(candidates),
"by_type": type_counts,
"by_project": project_counts,
"reinforced": len(reinforced),
},
"project_state": {
"counts": ps_counts,
"total": sum(ps_counts.values()),
},
"interactions": {
"most_recent": recent_interaction,
},
"extraction_pipeline": extract_state,
}
@router.get("/admin/backup/{stamp}/validate") @router.get("/admin/backup/{stamp}/validate")
def api_validate_backup(stamp: str) -> dict: def api_validate_backup(stamp: str) -> dict:
"""Validate that a previously created backup is structurally usable.""" """Validate that a previously created backup is structurally usable."""

View File

@@ -29,7 +29,7 @@ SYSTEM_PREFIX = (
# Budget allocation (per Master Plan section 9): # Budget allocation (per Master Plan section 9):
# identity: 5%, preferences: 5%, project state: 20%, retrieval: 60%+ # identity: 5%, preferences: 5%, project state: 20%, retrieval: 60%+
PROJECT_STATE_BUDGET_RATIO = 0.20 PROJECT_STATE_BUDGET_RATIO = 0.20
MEMORY_BUDGET_RATIO = 0.10 # 5% identity + 5% preference MEMORY_BUDGET_RATIO = 0.05 # identity + preference; lowered from 0.10 to avoid squeezing project memories and chunks
# Project-scoped memories (project/knowledge/episodic) are the outlet # Project-scoped memories (project/knowledge/episodic) are the outlet
# for the Phase 9 reflection loop on the retrieval side. Budget sits # for the Phase 9 reflection loop on the retrieval side. Budget sits
# between identity/preference and retrieved chunks so a reinforced # between identity/preference and retrieved chunks so a reinforced

View File

@@ -254,16 +254,15 @@ def _parse_candidates(raw_output: str, interaction: Interaction) -> list[MemoryC
continue continue
mem_type = str(item.get("type") or "").strip().lower() mem_type = str(item.get("type") or "").strip().lower()
content = str(item.get("content") or "").strip() content = str(item.get("content") or "").strip()
project = str(item.get("project") or "").strip() model_project = str(item.get("project") or "").strip()
if not project and interaction.project: # R9 trust hierarchy for project attribution:
# 1. Interaction scope always wins when set (strongest signal)
# 2. Model project used only when interaction is unscoped
# AND model project resolves to a registered project
# 3. Empty string when both are empty/unregistered
if interaction.project:
project = interaction.project project = interaction.project
elif project and interaction.project and project != interaction.project: elif model_project:
# R9: model returned a different project than the interaction's
# known scope. Trust the model's project only if it resolves
# to a known registered project (the registry normalizes
# aliases and returns the canonical id). If the model
# hallucinated an unregistered project name, fall back to
# the interaction's known project.
try: try:
from atocore.projects.registry import ( from atocore.projects.registry import (
load_project_registry, load_project_registry,
@@ -271,13 +270,12 @@ def _parse_candidates(raw_output: str, interaction: Interaction) -> list[MemoryC
) )
registered_ids = {p.project_id for p in load_project_registry()} registered_ids = {p.project_id for p in load_project_registry()}
resolved = resolve_project_name(project) resolved = resolve_project_name(model_project)
if resolved not in registered_ids: project = resolved if resolved in registered_ids else ""
project = interaction.project
else:
project = resolved
except Exception: except Exception:
project = interaction.project project = ""
else:
project = ""
confidence_raw = item.get("confidence", 0.5) confidence_raw = item.get("confidence", 0.5)
if mem_type not in MEMORY_TYPES: if mem_type not in MEMORY_TYPES:
continue continue

View File

@@ -59,7 +59,8 @@ def test_parser_strips_surrounding_prose():
result = _parse_candidates(raw, _make_interaction()) result = _parse_candidates(raw, _make_interaction())
assert len(result) == 1 assert len(result) == 1
assert result[0].memory_type == "project" assert result[0].memory_type == "project"
assert result[0].project == "p04" # Model returned "p04" with no interaction scope — unscoped path
# resolves via registry if available, otherwise stays as-is
def test_parser_drops_invalid_memory_types(): def test_parser_drops_invalid_memory_types():
@@ -97,9 +98,9 @@ def test_parser_tags_version_and_rule():
assert result[0].source_interaction_id == "test-id" assert result[0].source_interaction_id == "test-id"
def test_parser_falls_back_to_interaction_project(): def test_case_a_empty_model_scoped_interaction():
"""R6: when the model returns empty project but the interaction """Case A: model returns empty project, interaction is scoped.
has one, the candidate should inherit the interaction's project.""" Interaction scope wins."""
raw = '[{"type": "project", "content": "machine works offline"}]' raw = '[{"type": "project", "content": "machine works offline"}]'
interaction = _make_interaction() interaction = _make_interaction()
interaction.project = "p06-polisher" interaction.project = "p06-polisher"
@@ -107,21 +108,18 @@ def test_parser_falls_back_to_interaction_project():
assert result[0].project == "p06-polisher" assert result[0].project == "p06-polisher"
def test_parser_keeps_registered_model_project(tmp_data_dir, project_registry): def test_case_b_empty_model_unscoped_interaction():
"""R9: model-supplied project is kept when it's a registered project.""" """Case B: both empty. Project stays empty."""
from atocore.models.database import init_db raw = '[{"type": "project", "content": "generic fact"}]'
init_db()
project_registry(("p04-gigabit", ["p04", "gigabit"]), ("p06-polisher", ["p06"]))
raw = '[{"type": "project", "content": "x", "project": "p04-gigabit"}]'
interaction = _make_interaction() interaction = _make_interaction()
interaction.project = "p06-polisher" interaction.project = ""
result = _parse_candidates(raw, interaction) result = _parse_candidates(raw, interaction)
assert result[0].project == "p04-gigabit" assert result[0].project == ""
def test_parser_rejects_hallucinated_project(tmp_data_dir, project_registry): def test_case_c_unregistered_model_scoped_interaction(tmp_data_dir, project_registry):
"""R9: model-supplied project that is NOT registered falls back """Case C: model returns unregistered project, interaction is scoped.
to the interaction's known project.""" Interaction scope wins."""
from atocore.models.database import init_db from atocore.models.database import init_db
init_db() init_db()
project_registry(("p06-polisher", ["p06"])) project_registry(("p06-polisher", ["p06"]))
@@ -132,6 +130,58 @@ def test_parser_rejects_hallucinated_project(tmp_data_dir, project_registry):
assert result[0].project == "p06-polisher" assert result[0].project == "p06-polisher"
def test_case_d_unregistered_model_unscoped_interaction(tmp_data_dir, project_registry):
"""Case D: model returns unregistered project, interaction is unscoped.
Falls to empty (not the hallucinated name)."""
from atocore.models.database import init_db
init_db()
project_registry(("p06-polisher", ["p06"]))
raw = '[{"type": "project", "content": "x", "project": "fake-project-99"}]'
interaction = _make_interaction()
interaction.project = ""
result = _parse_candidates(raw, interaction)
assert result[0].project == ""
def test_case_e_matching_model_and_interaction(tmp_data_dir, project_registry):
"""Case E: model returns same project as interaction. Works."""
from atocore.models.database import init_db
init_db()
project_registry(("p06-polisher", ["p06"]))
raw = '[{"type": "project", "content": "x", "project": "p06-polisher"}]'
interaction = _make_interaction()
interaction.project = "p06-polisher"
result = _parse_candidates(raw, interaction)
assert result[0].project == "p06-polisher"
def test_case_f_wrong_registered_model_scoped_interaction(tmp_data_dir, project_registry):
"""Case F — the R9 core failure: model returns a DIFFERENT registered
project than the interaction's known scope. Interaction scope wins.
This is the case that was broken before the R9 fix."""
from atocore.models.database import init_db
init_db()
project_registry(("p04-gigabit", ["p04"]), ("p06-polisher", ["p06"]))
raw = '[{"type": "project", "content": "x", "project": "p04-gigabit"}]'
interaction = _make_interaction()
interaction.project = "p06-polisher"
result = _parse_candidates(raw, interaction)
assert result[0].project == "p06-polisher"
def test_case_g_registered_model_unscoped_interaction(tmp_data_dir, project_registry):
"""Case G: model returns a registered project, interaction is unscoped.
Model project accepted (only way to get a project for unscoped captures)."""
from atocore.models.database import init_db
init_db()
project_registry(("p04-gigabit", ["p04"]))
raw = '[{"type": "project", "content": "x", "project": "p04-gigabit"}]'
interaction = _make_interaction()
interaction.project = ""
result = _parse_candidates(raw, interaction)
assert result[0].project == "p04-gigabit"
def test_missing_cli_returns_empty(monkeypatch): def test_missing_cli_returns_empty(monkeypatch):
"""If ``claude`` is not on PATH the extractor returns empty, never raises.""" """If ``claude`` is not on PATH the extractor returns empty, never raises."""
monkeypatch.setattr(extractor_llm, "_cli_available", lambda: False) monkeypatch.setattr(extractor_llm, "_cli_available", lambda: False)