ed/manual_slop
Private
Public Access
0
0
Fork 0
Code Activity

conductor(track): Mark intent_dsl_survey_20260612 complete

Browse Source 
Three files updated to close out the track:

1. state.toml — all 28 tasks marked completed with their commit SHAs;
   current_phase = complete; all 14 verification flags = true; added
   deliverable_summary section pointing at report_v1.1.md, reportreview.md,
   and the 5 research/ sub-reports.

2. metadata.json — status: complete; added deliverable_v1_0, review,
   and final_commit fields.

3. tracks.md — track #23 heading now reads 'COMPLETE: c7e92896';
   added a 'Status: 2026-06-12 — COMPLETE' line summarizing the
   v1.1 deliverable (1301 lines, 7 sections + 9-subsection appendix,
   42-verb vocab, 8 prior-art clusters, 14-grammar primitives, 4
   hardware anchor claims, 10 AI-agent properties, 8 open questions).

This is the final bookkeeping for the track. nagent v2.2 can now
reference the report's Section 6 (AI-Agent Properties) and Section 7
(Open Questions) for its 'Future-Track Candidate #4: Intent-based
DSL' planning.
This commit is contained in:
Edward R. Gonzalez
2026-06-12 10:10:12 -04:00
parent c7e9289624
commit bae30cc3a7
3 changed files with 67 additions and 52 deletions
Download Patch File Download Diff File Expand all files Collapse all files
conductor/tracks.md
+4 -2
View File
@@ -492,8 +492,10 @@ Lightweight chronology; full spec/plan/state per track is in the linked folder.
#### Track: RAG Phase 4 Stress Test Fix `[x] — fixed 16412ad5`
*Status: 2026-06-06 — Surfaced during post-v2 verification. Resolved: real bug, NOT a test flake. Root cause: ChromaDB collection dimension mismatch across test runs. The persistent on-disk collection (`tests/artifacts/live_gui_workspace/.slop_cache/chroma_test_stress/`) was created by a previous run with Gemini embeddings (3072-dim); the current run uses local SentenceTransformers (384-dim). `index_file()` upserts silently corrupt the collection, then `search()` fails with `Collection expecting embedding with dimension of 3072, got 384` and the AI request never reaches 'done' status, timing out the 50*0.5s = 25s poll loop. Fix: `RAGEngine._init_vector_store` now calls `_validate_collection_dim` which inspects the first existing vector's dim, compares to the current provider's output, and recreates the collection on mismatch (with a stderr warning). Regression tests added: `test_rag_collection_dim_mismatch_recreates_collection` and `test_rag_collection_dim_match_preserves_collection` in `tests/test_rag_engine.py`. This also fixes a real user-facing bug: switching embedding providers in the GUI previously caused silent corruption. Commit 16412ad5.*
#### Track: Intent-Based Scripting Languages Survey (NEW 2026-06-12) `[track-created: b389f1be]`
*Link: [./tracks/intent_dsl_survey_20260612/](./tracks/intent_dsl_survey_20260612/), Spec: [./tracks/intent_dsl_survey_20260612/spec.md](./tracks/intent_dsl_survey_20260612/spec.md), Plan: [./tracks/intent_dsl_survey_20260612/plan.md](./tracks/intent_dsl_survey_20260612/plan.md) (to be authored by writing-plans skill)*
#### Track: Intent-Based Scripting Languages Survey `[COMPLETE: c7e92896]`
*Link: [./tracks/intent_dsl_survey_20260612/](./tracks/intent_dsl_survey_20260612/), Spec: [./tracks/intent_dsl_survey_20260612/spec.md](./tracks/intent_dsl_survey_20260612/spec.md), Plan: [./tracks/intent_dsl_survey_20260612/plan.md](./tracks/intent_dsl_survey_20260612/plan.md), Report: [./tracks/intent_dsl_survey_20260612/report_v1.1.md](./tracks/intent_dsl_survey_20260612/report_v1.1.md), Review: [./tracks/intent_dsl_survey_20260612/reportreview.md](./tracks/intent_dsl_survey_20260612/reportreview.md)*
*Status: 2026-06-12 — COMPLETE. Research-only track (non-impl). Deliverable: `report_v1.1.md` (1301 lines, 168KB, 7 sections + 9-subsection expanded Appendix). 4-tier vocab with 42 verbs (T1 math 12, T2 pipeline 12, T3 shell 10, T4 AI-fuzzing 8); 8 prior-art clusters (O'Donnell as philosophical anchor); 14-primitive grammar from user's math pseudocode; 4 hardware anchor claims; 10 AI-agent properties tying to existing project architecture; 8 open questions for the follow-up interpreter prototype. v1.0 (418 lines) → v1.1 (1301 lines) included: XML/JSON rejection citation fix, OCR-restored Lottes quote, softened Wasm streaming-parse inference, expanded Appendix A.1-A.9 (deep-dives, EBNF grammar, full vocab reference, register allocation, implementation notes, glossary, bibliography). Time-sensitive goal met: completed before nagent v2.2 hard boundary. Will be consumed by nagent v2.2 (Future-Track Candidate #4) and the future interpreter prototype (follow-up B track, separate).*
*Goal: Survey intent-based scripting languages as a design philosophy and propose a Meta-Tooling-facing intent DSL vocabulary. **Research-only** (non-impl): produces 1 markdown file at `conductor/tracks/intent_dsl_survey_20260612/report.md`. No new `src/` code, no new tests, no `pyproject.toml` changes. The report is the *foundation document* for the user's nagent v2.2 (its "Future-Track Candidate #4: Intent-based DSL" section), the placeholder `intent_dsl_for_meta_tooling_20260608_PLACEHOLDER` (per `mcp_architecture_refactor_20260606/spec.md` §12.1 and `nagent_review_20260608/metadata.json:28`), and a future interpreter prototype (follow-up B track, separate). 7 sections: (1) the "intent-based" design philosophy (O'Donnell immediate-mode as the anchor); (2) prior art across 8 clusters (0: John O'Donnell IMGUI/MVC at johno.se/book/*; 1: Forth family — Forth, ColorForth, KYRA/Onat, x68/Lottes, Joy, CoSy/Bob Armstrong; 2: Array — APL, K, BQN, Uiua; 3: Intent-mapping — Jofito/Jody, jq, nagent tag protocol [rejected as model], Wasm; 4: Meta-Tooling DSLs — `mcp_dsl_20260606` placeholder, nagent's Bridge DSL, OpenAI/Anthropic tool-use; 5: SSDL shape primitives per `computational_shapes_ssdl_digest_20260608.md`; 6: Project's own Command Palette 33 commands; 7: `Result[T]` + `ErrorInfo` convention per `data_oriented_error_handling_20260606`); (3) the 14-primitive grammar formalized from the user's math pseudocode (`determinate`/`minor`/`matrix-transpose` snippets), with explicit ambiguity flags; (4) the 4-tier vocab (~40 verbs: T1 math ~10, T2 data pipeline ~12, T3 shell ~10, T4 AI-fuzzing tolerance ~8 — T4 is the novel contribution); (5) hardware mapping with 4 anchor claims (Onat/Lottes 2-register stack + magenta pipe + basic blocks + lambdas + preemptive scatter; O'Donnell "widgets are method invocations"; Forth/CoSy concatenative syntax; APL/K array data); (6) AI-agent properties (10 claims tying to existing project architecture: Meta-Tooling domain per `guide_meta_boundary.md`, runtime path through `cli_tool_bridge.py`, 3-layer security per `guide_tools.md`, 4 memory dimensions per nagent v2.1 §2.1, stable-to-volatile cache ordering, `Result[T]` envelope, Command Palette 33 commands, Hook API state fields, O'Donnell IEventTarget = `sandbox` verb, O'Donnell "reads are free" = cheap Tier 2 verbs); (7) ≥6 open questions for follow-up B (interpreter prototype) + connection block to `intent_dsl_for_meta_tooling_20260608_PLACEHOLDER`. 4 phases: source gathering + outline (checkpoint commit), write sections 1-3, write sections 4-7, self-review + user review + commit + register in tracks.md. **Time-sensitive**: report must complete before nagent v2.2 ships.*