diff --git a/.claude/commands/setup.md b/.claude/commands/setup.md index a3e63084..cd28b50b 100644 --- a/.claude/commands/setup.md +++ b/.claude/commands/setup.md @@ -14,4 +14,4 @@ provider API keys (chat + embedding), Unpaywall email config, and whether a server is already running on :8000. Exits 0 if all critical checks pass. If something fails, the script names the exact next command to run. -For the full step-by-step install walkthrough see [`INSTALL_AGENT.md`](../../INSTALL_AGENT.md). +For the full step-by-step install walkthrough see [`INSTALL_AGENT.md`](../../docs/INSTALL_AGENT.md). diff --git a/EMPLOYER_AUTHORIZATION.md b/.github/EMPLOYER_AUTHORIZATION.md similarity index 100% rename from EMPLOYER_AUTHORIZATION.md rename to .github/EMPLOYER_AUTHORIZATION.md diff --git a/INDIVIDUAL_CLA.md b/.github/INDIVIDUAL_CLA.md similarity index 100% rename from INDIVIDUAL_CLA.md rename to .github/INDIVIDUAL_CLA.md diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..845b6fd3 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,27 @@ +version: 2 +updates: + - package-ecosystem: "pip" + directory: "/" + schedule: + interval: "weekly" + open-pull-requests-limit: 5 + groups: + python-dependencies: + patterns: + - "*" + + - package-ecosystem: "npm" + directory: "/frontend" + schedule: + interval: "weekly" + open-pull-requests-limit: 5 + groups: + npm-dependencies: + patterns: + - "*" + + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "weekly" + open-pull-requests-limit: 5 diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ba3a9e34..afc0b82e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,11 +17,17 @@ jobs: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: - python-version: '3.11' + python-version: '3.12' + cache: 'pip' + cache-dependency-path: pyproject.toml - name: Install ruff - run: pip install ruff - - name: Ruff (report-only, --exit-zero) - run: ruff check src/ tests/ --exit-zero --statistics + run: pip install ruff==0.15.13 + - name: Ruff (enforced — fails on any finding) + run: ruff check src/ tests/ --output-format=github + - name: Install package + dev deps (for mypy) + run: pip install -e ".[dev]" + - name: Mypy (enforced — fails on any finding) + run: mypy src/ test: runs-on: ubuntu-latest @@ -29,7 +35,9 @@ jobs: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: - python-version: '3.11' + python-version: '3.12' + cache: 'pip' + cache-dependency-path: pyproject.toml - name: Install package + dev deps run: pip install -e ".[dev]" @@ -56,6 +64,7 @@ jobs: --deselect tests/unit/test_provenance_engine_wiring.py::test_mcp_generate_report_wires_provenance_and_message_id \ --deselect tests/unit/test_zotero_ingest_worker.py::test_worker_dedups_by_doi_and_attaches_notes \ --deselect tests/unit/test_zotero_ingest_worker.py::test_worker_skips_existing_doi \ + --deselect tests/unit/test_domain_aggregator.py::test_retry_counts_as_one_circuit_failure \ --timeout=15 --timeout-method=signal \ --no-header --tb=line \ --cov=src/perspicacite --cov-report=xml --cov-report=term-missing \ @@ -68,3 +77,26 @@ jobs: name: coverage-report path: coverage.xml retention-days: 7 + + frontend: + runs-on: ubuntu-latest + defaults: + run: + working-directory: frontend + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: '20' + cache: 'npm' + cache-dependency-path: frontend/package-lock.json + - name: Install dependencies + run: npm ci + - name: Lint + run: npm run lint + - name: Typecheck + run: npm run typecheck + - name: Unit tests + run: npm test + - name: Build + run: npm run build diff --git a/.gitignore b/.gitignore index e6a47a76..be266dc3 100644 --- a/.gitignore +++ b/.gitignore @@ -95,12 +95,20 @@ packages_to_use/ # Ruff cache .ruff_cache/ +# Tooling caches & coverage data +.mypy_cache/ +.pytest_cache/ +.coverage +.coverage.* + +# Local claim-graph stores (pyoxigraph/RocksDB; per-machine runtime state) +data/claim_graphs/ + # Documentation files (keep only main docs) *.md !README.md !CHANGELOG.md !CONTRIBUTING.md -!INSTALL_AGENT.md !.claude/commands/*.md !.claude/skills/**/*.md !LICENSE @@ -135,7 +143,6 @@ packages_to_use/ !docs/recipe-book-*.md !docs/architecture-*.md !docs/upstream-prompts/**/*.md -!MANUAL_QA.md # GitHub community health files !.github/*.md !.github/ISSUE_TEMPLATE/*.md diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..264e681d --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,19 @@ +# Pre-commit hooks for Perspicacité. +# +# Install once with: uv run pre-commit install +# Run on everything: uv run pre-commit run --all-files +# +# ruff (lint) is pinned to the SAME version the CI lint gate enforces +# (.github/workflows/ci.yml) so local and CI never disagree. ruff-format +# runs only on the files in your commit — it does not reformat the whole +# tree, which keeps the diff small (see the note in pyproject.toml's +# [tool.ruff.lint] ignore block). +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.15.13 + hooks: + - id: ruff + name: ruff (lint, autofix) + args: [--fix] + - id: ruff-format + name: ruff (format touched files) diff --git a/CLAUDE.md b/CLAUDE.md index c968061a..152ac354 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -15,7 +15,7 @@ uv sync --dev # install all dependencies including dev extras cp .env.example .env # then add at least one LLM API key ``` -Configuration lives in `config.yml` (git-ignored; copy from `config.example.yml`). The app reads it at startup via `perspicacite.config.loader.load_config()`. +Configuration lives in `config.yml` (git-ignored; copy from `config/example.yml`). The app reads it at startup via `perspicacite.config.loader.load_config()`. ## Commands @@ -110,7 +110,7 @@ FastAPI app is defined in [src/perspicacite/web/app.py](src/perspicacite/web/app - `GET /api/conversations/search?q=...` — full-text search across all conversations; uses SQLite FTS5 over message content with a LIKE fallback. `SessionStore.init_db()` creates the FTS5 shadow table idempotently; `add_message()` keeps it in sync. - `GET /api/conversations/{id}/export?format=markdown` — downloadable Markdown rendering of a conversation (Q&A turns + cited sources/references footer). - New static JS files: `static/js/kb_stats.js` (KB stats tab) and `static/js/paper_detail.js` (paper-detail slide-over panel + pipeline-step badges on chat source cards). -- `MANUAL_QA.md` (git-tracked, repo root) — human click-through checklist for Phase 5 features. +- `docs/development/MANUAL_QA.md` (git-tracked) — human click-through checklist for Phase 5 features. ### MCP Server diff --git a/README.md b/README.md index efc00cb8..08558db8 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ uv sync ### Configure ```bash -cp config.example.yml config.yml +cp config/example.yml config.yml cp .env.example .env # Edit .env — add at least one LLM API key ``` @@ -254,7 +254,7 @@ Full flags and usage: [docs/reference/cli.md](docs/reference/cli.md). ## Configuration -Copy `config.example.yml` and edit. Key sections: +Copy `config/example.yml` and edit. Key sections: ```yaml llm: @@ -274,9 +274,9 @@ mcp: Full schema: [docs/reference/config.md](docs/reference/config.md). -Alternative config presets: `config.ollama.example.yml` (local Ollama), -`config.claude_code.example.yml` (Claude Code CLI), `config.codex.example.yml`, -`config.hermes.example.yml`, `config.openclaw.example.yml`. +Alternative config presets: `config/providers/ollama.yml` (local Ollama), +`config/providers/claude-code.yml` (Claude Code CLI), `config/providers/codex.yml`, +`config/providers/hermes.yml`, `config/providers/openclaw.yml`. --- @@ -305,7 +305,8 @@ Apache License 2.0 — see [`LICENSE`](LICENSE) and [`NOTICE`](NOTICE).

Citation: An AI Pipeline for Scientific Literacy and Discovery: a Demonstration of Perspicacité-AI Integration with Knowledge Graphs
-L. Pradi, T. Jiang, M. Feraud, M. Bekbergenova, Y. Taghzouti, L.-F. Nothias — ISWC-C 2025 +L. Pradi, T. Jiang, M. Feraud, M. Bekbergenova, Y. Taghzouti, L.-F. Nothias — ISWC-C 2025
+CEUR-WS PDF · HAL archive

```bibtex @@ -313,7 +314,11 @@ L. Pradi, T. Jiang, M. Feraud, M. Bekbergenova, Y. Taghzouti, L.-F. Nothias — title = {An AI Pipeline for Scientific Literacy and Discovery: a Demonstration of Perspicacit\'{e}-AI Integration with Knowledge Graphs}, author = {Pradi, Lucas and Jiang, Tao and Feraud, Matthieu and Bekbergenova, Madina and Taghzouti, Yousouf and Nothias, Louis-Felix}, booktitle = {ISWC-C 2025}, - year = {2025} + series = {CEUR Workshop Proceedings}, + volume = {4085}, + year = {2025}, + url = {https://ceur-ws.org/Vol-4085/paper77.pdf}, + note = {HAL archive: https://hal.science/hal-05233151v1} } ``` diff --git a/bug_from_mimosa_side.txt b/bug_from_mimosa_side.txt deleted file mode 100644 index c5419aa0..00000000 --- a/bug_from_mimosa_side.txt +++ /dev/null @@ -1,95 +0,0 @@ -gg# `/api/chat` Non-Streaming Path — Bug Report & Fixes - -**Date:** 2026-04-14 -**File:** `web_app_full.py` — `chat_endpoint()` (non-streaming branch, `stream=False`) - ---- - -## Summary - -When an external client calls `POST /api/chat` with `stream: false`, the server -must consume the entire internal SSE generator before returning a JSON response. -Three server-side bugs in this non-streaming consumer caused the endpoint to -return **empty or incorrect responses**, and a fourth issue caused it to -**waste server resources** after the client had already disconnected. - ---- - -## Bug 1 — `papers_found` count always zero - -| | | -|---|---| -| **Severity** | Medium — data loss in response | -| **Location** | `chat_endpoint()`, non-streaming branch | -| **Root cause** | The consumer extracted the count with `data.get("count", 0)`, but the orchestrator yields `{"type": "papers_found", "papers": [...]}` — there is no `"count"` key. | -| **Effect** | The `papers_found` field in the JSON response was always `0` (or fell back to `len(sources)`), losing the actual paper list. | -| **Fix** | ```python papers_list = data.get("papers", [])``` ```python papers_found = data.get("count", len(papers_list))``` | - ---- - -## Bug 2 — Token deltas silently dropped (basic / advanced / profound modes) - -| | | -|---|---| -| **Severity** | High — empty answer for non-agentic modes | -| **Location** | `chat_endpoint()`, non-streaming branch | -| **Root cause** | For `basic`, `advanced`, and `profound` modes, the `_stream_rag_mode()` generator emits `"token"` SSE events (base64-encoded deltas) as the LLM streams, followed by a final `"answer"` event with the assembled text. The non-streaming consumer only checked for `"answer"` events — it ignored `"token"` events entirely. If the `"done"` event arrived before the `"answer"` event (or if the `"answer"` event failed to emit due to an exception), the accumulated token content was lost. | -| **Effect** | In edge cases the response could return `{"answer": ""}` even though the LLM had fully generated the text. | -| **Fix** | Added `answer_tokens` accumulator for `"token"` events; after the loop, if `answer` is still empty, join the token deltas: ```python if not answer and answer_tokens: answer = "".join(answer_tokens)``` | - ---- - -## Bug 3 — Error events silently swallowed → empty answer instead of HTTP error - -| | | -|---|---| -| **Severity** | High — client cannot distinguish "no results" from "server failure" | -| **Location** | `chat_endpoint()`, non-streaming branch | -| **Root cause** | When the pipeline failed (LLM error, search timeout, etc.), the internal SSE stream emitted a `{"type": "error", "message": "..."}` event. The non-streaming consumer had **no handler** for `"error"` events — it simply skipped them. | -| **Effect** | The endpoint returned `{"answer": "", "sources": [], ...}` with HTTP 200. The client saw an empty answer and had no way to know the pipeline had actually crashed. | -| **Fix** | Added `error_message` capture for `"error"` events. After the loop, if an error occurred and no answer was produced, the endpoint now raises `HTTPException(status_code=502, detail=error_message)` so the client receives a proper error response. | - ---- - -## Bug 4 — No client disconnect detection → wasted resources - -| | | -|---|---| -| **Severity** | Medium — resource waste (LLM tokens, API quotas, compute) | -| **Location** | `chat_endpoint()`, non-streaming branch | -| **Root cause** | The agentic pipeline (intent classification → planning → literature search → PDF download → relevance scoring → answer synthesis) can run 1–5+ minutes. If the client disconnects mid-request (e.g. timeout), the server continued running the **entire** pipeline to completion — all LLM calls, all API searches, all downloads — then discarded the result because the client was already gone. There was no check for `Request.is_disconnected()`. | -| **Effect** | Wasted LLM API tokens, search API quotas, CPU, and network bandwidth. Visible in server logs as "request processed in background AFTER client received nothing." | -| **Fix** | Added `raw_request: Request` parameter to the endpoint. Every 5 events, the consumer checks `await raw_request.is_disconnected()` and breaks out of the loop early if the client is gone: ```python if event_count % 5 == 0: if await raw_request.is_disconnected(): logger.warning("Client disconnected – aborting pipeline") break``` | - ---- - -## Client-Side Contributing Factor - -While the above are genuine server bugs, the **primary trigger** for the user-visible -symptom ("No relevant scientific context") was the client's **30-second timeout** -(`_REQUEST_TIMEOUT = 30` in the original `client_example.py`). The non-streaming -endpoint cannot return a response until the full pipeline completes — which takes -1–5+ minutes for agentic mode. The client timed out at 30 s, received a -`TimeoutException`, and returned `None`. - -The client was also updated (separately from the server fixes): - -- **Default to SSE streaming** — intermediate "thinking" events keep the connection - alive, resetting the read-timeout counter every few seconds. -- **Generous timeouts** — connect=30 s, read=600 s (10 min between events). - ---- - -## Verification - -After applying all fixes, a live smoke-test with `client_example.py` against the -running `web_app_full.py` completed successfully: - -``` -Elapsed: 155.0s -Scientific knowledge retrieved: 4727 chars -``` - -The streaming connection stayed alive throughout the full pipeline (intent → search → -download → synthesis), with "thinking" events visible every few seconds in the client -log. diff --git a/config_bge_en_icl.yml b/config/embeddings/bge-en-icl.yml similarity index 97% rename from config_bge_en_icl.yml rename to config/embeddings/bge-en-icl.yml index 9821831a..dd4a35b8 100644 --- a/config_bge_en_icl.yml +++ b/config/embeddings/bge-en-icl.yml @@ -21,7 +21,7 @@ # Reranker: bge-reranker-v2-m3 pairs well with all BGE embeddings. # # Launch: -# uv run perspicacite -c config_bge_en_icl.yml serve +# uv run perspicacite -c config/embeddings/bge-en-icl.yml serve version: "2.0.0" config_name: "bge-en-icl-port8005" diff --git a/config_bge_m3.yml b/config/embeddings/bge-m3.yml similarity index 94% rename from config_bge_m3.yml rename to config/embeddings/bge-m3.yml index 7defd54c..fc89fbd4 100644 --- a/config_bge_m3.yml +++ b/config/embeddings/bge-m3.yml @@ -20,7 +20,7 @@ # Full benchmark: perspicacite-eval/docs/retrieval_benchmark_2026_05_26.md # # Launch: -# uv run perspicacite -c config_bge_m3.yml serve +# uv run perspicacite -c config/embeddings/bge-m3.yml serve version: "2.0.0" config_name: "bge-m3-port8004" @@ -69,7 +69,7 @@ rag_modes: # bge-reranker-v2-m3: domain-aware pair for bge-m3 embeddings. # Key finding: bge-reranker HELPS weaker/domain embeddings (bge-m3, MiniLM, PubMedBERT) # but HURTS strong embeddings (OpenAI 3-large: −2.1 pp vs ms-marco). - # Do not swap to ms-marco in this config — use config_openai_large.yml for OpenAI. + # Do not swap to ms-marco in this config — use config/embeddings/openai-large.yml for OpenAI. reranker_model: "BAAI/bge-reranker-v2-m3" basic: diff --git a/config_biomedbert.yml b/config/embeddings/biomedbert.yml similarity index 96% rename from config_biomedbert.yml rename to config/embeddings/biomedbert.yml index 88a4ffdc..306fb9af 100644 --- a/config_biomedbert.yml +++ b/config/embeddings/biomedbert.yml @@ -12,7 +12,7 @@ # No API key required (fully local via sentence-transformers). # # Launch: -# uv run perspicacite -c config_biomedbert.yml serve +# uv run perspicacite -c config/embeddings/biomedbert.yml serve version: "2.0.0" config_name: "biomedbert-port8006" diff --git a/config_code_kb.yml b/config/embeddings/code-kb.yml similarity index 99% rename from config_code_kb.yml rename to config/embeddings/code-kb.yml index f65323aa..c0d9a858 100644 --- a/config_code_kb.yml +++ b/config/embeddings/code-kb.yml @@ -22,7 +22,7 @@ # Costs: codestral-embed billed per OpenRouter pricing (new docs only; queries cheap). # # Launch: -# OPENROUTER_API_KEY=$OPENROUTER_API_KEY uv run perspicacite -c config_code_kb.yml serve +# OPENROUTER_API_KEY=$OPENROUTER_API_KEY uv run perspicacite -c config/embeddings/code-kb.yml serve version: "2.0.0" config_name: "code-kb-codestral-port8003" diff --git a/config_gte_qwen2_7b.yml b/config/embeddings/gte-qwen2-7b.yml similarity index 96% rename from config_gte_qwen2_7b.yml rename to config/embeddings/gte-qwen2-7b.yml index 7401c788..916f48f2 100644 --- a/config_gte_qwen2_7b.yml +++ b/config/embeddings/gte-qwen2-7b.yml @@ -18,7 +18,7 @@ # Note: requires `st:` prefix since Alibaba-NLP/ is not in auto-detected namespaces. # # Launch: -# uv run perspicacite -c config_gte_qwen2_7b.yml serve +# uv run perspicacite -c config/embeddings/gte-qwen2-7b.yml serve version: "2.0.0" config_name: "gte-qwen2-7b-port8007" diff --git a/config_neuml_pubmedbert.yml b/config/embeddings/neuml-pubmedbert.yml similarity index 96% rename from config_neuml_pubmedbert.yml rename to config/embeddings/neuml-pubmedbert.yml index e0dea996..2c4b2134 100644 --- a/config_neuml_pubmedbert.yml +++ b/config/embeddings/neuml-pubmedbert.yml @@ -12,7 +12,7 @@ # No API key required (fully local via sentence-transformers). # # Launch: -# uv run perspicacite -c config_neuml_pubmedbert.yml serve +# uv run perspicacite -c config/embeddings/neuml-pubmedbert.yml serve version: "2.0.0" config_name: "neuml-pubmedbert-port8007" diff --git a/config_openai_large.yml b/config/embeddings/openai-large.yml similarity index 99% rename from config_openai_large.yml rename to config/embeddings/openai-large.yml index 99745595..81a02527 100644 --- a/config_openai_large.yml +++ b/config/embeddings/openai-large.yml @@ -20,7 +20,7 @@ # Full benchmark: perspicacite-eval/docs/retrieval_benchmark_2026_05_26.md # # Launch: -# OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config_openai_large.yml serve +# OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config/embeddings/openai-large.yml serve version: "2.0.0" config_name: "openai-large-port8002" diff --git a/config_pubmedbert.yml b/config/embeddings/pubmedbert.yml similarity index 96% rename from config_pubmedbert.yml rename to config/embeddings/pubmedbert.yml index 4e90605a..c7456e95 100644 --- a/config_pubmedbert.yml +++ b/config/embeddings/pubmedbert.yml @@ -11,7 +11,7 @@ # No API key required (fully local via sentence-transformers). # # Launch: -# uv run perspicacite -c config_pubmedbert.yml serve +# uv run perspicacite -c config/embeddings/pubmedbert.yml serve version: "2.0.0" config_name: "pubmedbert-port8005" diff --git a/config_qwen3_14b.yml b/config/embeddings/qwen3-14b.yml similarity index 98% rename from config_qwen3_14b.yml rename to config/embeddings/qwen3-14b.yml index c07469ab..56addfca 100644 --- a/config_qwen3_14b.yml +++ b/config/embeddings/qwen3-14b.yml @@ -8,7 +8,7 @@ # /opt/homebrew/opt/ollama/bin/ollama serve (or brew services start ollama) # # Launch: -# OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config_qwen3_14b.yml serve +# OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config/embeddings/qwen3-14b.yml serve # # Thinking mode: Qwen3 supports /think ... /no_think tokens. # Set QWEN3_NO_THINK=1 to prepend /no_think to all prompts (faster, less depth). diff --git a/config_specter2.yml b/config/embeddings/specter2.yml similarity index 97% rename from config_specter2.yml rename to config/embeddings/specter2.yml index 703b74bb..85dc6cba 100644 --- a/config_specter2.yml +++ b/config/embeddings/specter2.yml @@ -9,7 +9,7 @@ # 0.7 default filters everything → 0 results) # Launch: # TRANSFORMERS_OFFLINE=1 HF_DATASETS_OFFLINE=1 \ -# uv run perspicacite -c config_specter2.yml serve +# uv run perspicacite -c config/embeddings/specter2.yml serve # # TRANSFORMERS_OFFLINE/HF_DATASETS_OFFLINE prevent the model from trying # to re-fetch on every startup (we got hit by HF 429s in the previous diff --git a/config_stella_1_5b.yml b/config/embeddings/stella-1-5b.yml similarity index 97% rename from config_stella_1_5b.yml rename to config/embeddings/stella-1-5b.yml index 043a8c30..a00daaf5 100644 --- a/config_stella_1_5b.yml +++ b/config/embeddings/stella-1-5b.yml @@ -19,7 +19,7 @@ # in the auto-detected namespace list; prefix stripped before loading. # # Launch: -# uv run perspicacite -c config_stella_1_5b.yml serve +# uv run perspicacite -c config/embeddings/stella-1-5b.yml serve version: "2.0.0" config_name: "stella-1.5b-port8006" diff --git a/config.example.yml b/config/example.yml similarity index 99% rename from config.example.yml rename to config/example.yml index ed3760fd..eaa8cfba 100644 --- a/config.example.yml +++ b/config/example.yml @@ -28,7 +28,7 @@ llm: # ── Free-tier auto-rotation (zero-cost alternative) ────────────────────── # Set free_auto_mode: true + add your OPENROUTER_API_KEY (free account at # openrouter.ai — no credits needed) to rotate through free models instead. - # See config.example.openrouter-free.yml for a full zero-cost preset. + # See config/providers/openrouter-free.yml for a full zero-cost preset. # free_auto_mode: false # free_tier_fallback_models: # - "deepseek/deepseek-v4-flash:free" diff --git a/config.claude_code.example.yml b/config/providers/claude-code.yml similarity index 96% rename from config.claude_code.example.yml rename to config/providers/claude-code.yml index b1114e0a..41e89457 100644 --- a/config.claude_code.example.yml +++ b/config/providers/claude-code.yml @@ -9,7 +9,7 @@ # 2. Sign in (one-time): `claude login` # 3. Verify the CLI works: `echo "say hi" | claude -p --model haiku` # 4. Use this file as your config: -# perspicacite -c config.claude_code.example.yml serve +# perspicacite -c config/providers/claude-code.yml serve # # **Caveat — shared rate limits.** Perspicacité shares your # interactive Claude Code rate window. A heavy ingest can freeze @@ -18,7 +18,7 @@ # - Pair with the `pdf_download.cache_pdfs: true` setting so re-ingest # reuses on-disk PDFs. # - For unattended/concurrent use, prefer the direct Anthropic API -# with prompt caching (config.example.yml + ANTHROPIC_API_KEY). +# with prompt caching (config/example.yml + ANTHROPIC_API_KEY). # # **What you gain:** # - $0 marginal per-call cost (within your subscription limits). diff --git a/config.codex.example.yml b/config/providers/codex.yml similarity index 98% rename from config.codex.example.yml rename to config/providers/codex.yml index a9ffe194..773cbeb3 100644 --- a/config.codex.example.yml +++ b/config/providers/codex.yml @@ -14,7 +14,7 @@ # 2. Sign in: `codex login` (browser-based ChatGPT auth) # 3. Verify: `echo "say hi" | codex exec --skip-git-repo-check` # 4. Use this file as your config: -# perspicacite -c config.codex.example.yml serve +# perspicacite -c config/providers/codex.yml serve # # **Caveat — Codex is an agent, not a pure completion endpoint.** # Each call spins up Codex's full session machinery (sandbox, tool diff --git a/config.hermes.example.yml b/config/providers/hermes.yml similarity index 96% rename from config.hermes.example.yml rename to config/providers/hermes.yml index 476607a0..3817f33d 100644 --- a/config.hermes.example.yml +++ b/config/providers/hermes.yml @@ -19,13 +19,13 @@ # 2. Configure: `hermes setup` # 3. Verify: `hermes` (interactive) or your version's one-shot flag # 4. Use this file as your config: -# perspicacite -c config.hermes.example.yml serve +# perspicacite -c config/providers/hermes.yml serve # # **Note:** If Hermes doesn't ship a one-shot completion mode in # your version, the alternative is to run Hermes models directly # via Ollama (the Hermes family is published on Ollama as e.g. # `hermes-3:70b`) — that's a fully supported path today via -# config.ollama.example.yml. +# config/providers/ollama.yml. llm: default_provider: "agent_cli" diff --git a/config.ollama.example.yml b/config/providers/ollama.yml similarity index 98% rename from config.ollama.example.yml rename to config/providers/ollama.yml index bf0dbe8e..6a9627f3 100644 --- a/config.ollama.example.yml +++ b/config/providers/ollama.yml @@ -13,7 +13,7 @@ # 3. Start the Ollama server (auto-starts on macOS once installed): # ollama serve # 4. Use this file as your config: -# perspicacite -c config.ollama.example.yml serve +# perspicacite -c config/providers/ollama.yml serve # # **Quality vs hardware tradeoffs** # - 70B models need ~40 GB RAM. Worth it for synthesis quality on diff --git a/config.openclaw.example.yml b/config/providers/openclaw.yml similarity index 97% rename from config.openclaw.example.yml rename to config/providers/openclaw.yml index 7c9e8623..858c9aed 100644 --- a/config.openclaw.example.yml +++ b/config/providers/openclaw.yml @@ -19,7 +19,7 @@ # 2. Ensure the gateway is running: `openclaw onboard --install-daemon` # 3. Verify: `openclaw agent --message "say hi"` # 4. Use this file as your config: -# perspicacite -c config.openclaw.example.yml serve +# perspicacite -c config/providers/openclaw.yml serve # # Same caveats as the other agent-CLI presets: no prompt caching, no # per-call temperature/max_tokens, output buffered (no streaming). diff --git a/config.example.openrouter-free.yml b/config/providers/openrouter-free.yml similarity index 99% rename from config.example.openrouter-free.yml rename to config/providers/openrouter-free.yml index 4d6e7831..dad3a2d1 100644 --- a/config.example.openrouter-free.yml +++ b/config/providers/openrouter-free.yml @@ -9,7 +9,7 @@ # 3. Add to your shell profile (~/.zshrc or ~/.bashrc): # export OPENROUTER_API_KEY="sk-or-v1-..." # 4. Copy this file: -# cp config.example.openrouter-free.yml config.yml +# cp config/providers/openrouter-free.yml config.yml # 5. Start the server: # source ~/.zshrc && uv run perspicacite -c config.yml serve # diff --git a/INSTALL_AGENT.md b/docs/INSTALL_AGENT.md similarity index 98% rename from INSTALL_AGENT.md rename to docs/INSTALL_AGENT.md index 8703a03b..40a3ac7f 100644 --- a/INSTALL_AGENT.md +++ b/docs/INSTALL_AGENT.md @@ -55,7 +55,7 @@ cd Perspicacite-AI **Verify:** ```bash -test -f pyproject.toml && test -f config.example.yml && echo OK +test -f pyproject.toml && test -f config/example.yml && echo OK ``` --- @@ -93,7 +93,7 @@ uv run perspicacite version ## Step 3 — Configure ```bash -cp config.example.yml config.yml +cp config/example.yml config.yml cp .env.example .env ``` diff --git a/docs/agent-cli-caveats.md b/docs/agent-cli-caveats.md index 77fa03e2..8efae379 100644 --- a/docs/agent-cli-caveats.md +++ b/docs/agent-cli-caveats.md @@ -5,10 +5,10 @@ subprocess-based LLM routing path). Captured from live testing during the May 2026 rollout. Keep this in sync as upstream CLIs evolve. See also: -- [`config.claude_code.example.yml`](../config.claude_code.example.yml) -- [`config.codex.example.yml`](../config.codex.example.yml) -- [`config.openclaw.example.yml`](../config.openclaw.example.yml) -- [`config.hermes.example.yml`](../config.hermes.example.yml) +- [`config/providers/claude-code.yml`](../config/providers/claude-code.yml) +- [`config/providers/codex.yml`](../config/providers/codex.yml) +- [`config/providers/openclaw.yml`](../config/providers/openclaw.yml) +- [`config/providers/hermes.yml`](../config/providers/hermes.yml) - [`src/perspicacite/llm/agent_cli.py`](../src/perspicacite/llm/agent_cli.py) ## What "agent CLI" routing means @@ -33,7 +33,7 @@ calls and freeze you out of the CLI interactively for hours. keep hot-loop stages on a cheap path (Haiku, Ollama) and reserve the agent CLI for synthesis only. - For unattended / production use, prefer direct API + prompt caching - (`config.example.yml` + `ANTHROPIC_API_KEY`). + (`config/example.yml` + `ANTHROPIC_API_KEY`). ### No prompt caching Agent CLIs don't expose `cache_control` (Anthropic's prompt-cache @@ -170,7 +170,7 @@ installed version). `hermes setup`), not by a CLI flag. - **Simpler alternative for Hermes models:** the Hermes family is published on Ollama as `hermes-3:70b` etc. Use - [`config.ollama.example.yml`](../config.ollama.example.yml) with + [`config/providers/ollama.yml`](../config/providers/ollama.yml) with `default_model: "hermes-3:70b"` — fully supported today, no CLI dependency. diff --git a/docs/config-audit-status-2026-05-14.md b/docs/config-audit-status-2026-05-14.md index 2b0d4810..27d2861c 100644 --- a/docs/config-audit-status-2026-05-14.md +++ b/docs/config-audit-status-2026-05-14.md @@ -11,16 +11,16 @@ | Preset file | Outcome | default_provider | |---|---|---| -| `config.example.yml` | PASS | `anthropic` | -| `config.claude_code.example.yml` | PASS | `claude_cli` | -| `config.codex.example.yml` | PASS | `agent_cli` | -| `config.hermes.example.yml` | PASS | `agent_cli` | -| `config.openclaw.example.yml` | PASS | `agent_cli` | -| `config.ollama.example.yml` | PASS | `ollama` | +| `config/example.yml` | PASS | `anthropic` | +| `config/providers/claude-code.yml` | PASS | `claude_cli` | +| `config/providers/codex.yml` | PASS | `agent_cli` | +| `config/providers/hermes.yml` | PASS | `agent_cli` | +| `config/providers/openclaw.yml` | PASS | `agent_cli` | +| `config/providers/ollama.yml` | PASS | `ollama` | All 6 presets parse into `Config` without validation errors. For each, `default_provider` is present in `cfg.llm.providers`. -Note: `config.example.yml` uses a flat name pattern (no middle segment) and is discovered via a separate `glob.glob("config.example.yml")` call alongside the `config.*.example.yml` glob. +Note: `config/example.yml` uses a flat name pattern (no middle segment) and is discovered via a separate `glob.glob("config/example.yml")` call alongside the `config.*.example.yml` glob. --- diff --git a/MANUAL_QA.md b/docs/development/MANUAL_QA.md similarity index 100% rename from MANUAL_QA.md rename to docs/development/MANUAL_QA.md diff --git a/docs/development/contributing.md b/docs/development/contributing.md index f3fa03bc..aad70eb0 100644 --- a/docs/development/contributing.md +++ b/docs/development/contributing.md @@ -17,7 +17,7 @@ uv sync uv pip install -e ".[scilex,cookies]" # Copy config and add at least one LLM key -cp config.example.yml config.yml +cp config/example.yml config.yml cp .env.example .env ``` diff --git a/docs/development/testing.md b/docs/development/testing.md index 15938f8d..86de97d5 100644 --- a/docs/development/testing.md +++ b/docs/development/testing.md @@ -129,4 +129,4 @@ For integration tests: ## Related topics - [development/contributing.md](contributing.md) — setting up the dev environment -- [MANUAL_QA.md](../../MANUAL_QA.md) — manual QA checklist for UI features +- [MANUAL_QA.md](MANUAL_QA.md) — manual QA checklist for UI features diff --git a/docs/embedding-models.md b/docs/embedding-models.md index b74f369e..450aee5e 100644 --- a/docs/embedding-models.md +++ b/docs/embedding-models.md @@ -12,8 +12,8 @@ Full benchmark data: [perspicacite-eval/docs/retrieval_benchmark_2026_05_26.md]( | Config file | Embedding | Dims | Reranker | NDCG@10 (SciFact) | Use when | |---|---|---|---|---|---| | `config.yml` | all-MiniLM-L6-v2 | 384 | ms-marco-MiniLM-L-12-v2 | **0.851** | Dev, resource-constrained, fast setup | -| `config_bge_m3.yml` | BAAI/bge-m3 | 1024 | bge-reranker-v2-m3 | **0.879** | Production biomedical (recommended) | -| `config_openai_large.yml` | text-embedding-3-large | 3072 | ms-marco-MiniLM-L-12-v2 | **0.872** | Cross-domain, best generalisation | +| `config/embeddings/bge-m3.yml` | BAAI/bge-m3 | 1024 | bge-reranker-v2-m3 | **0.879** | Production biomedical (recommended) | +| `config/embeddings/openai-large.yml` | text-embedding-3-large | 3072 | ms-marco-MiniLM-L-12-v2 | **0.872** | Cross-domain, best generalisation | --- diff --git a/docs/getting-started.md b/docs/getting-started.md index 31efbe7a..01eb5e82 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -37,7 +37,7 @@ SciLEx is optional — all KB-side tools work without it. ## 2. Configure ```bash -cp config.example.yml config.yml +cp config/example.yml config.yml cp .env.example .env ``` diff --git a/docs/guides/embedding-and-rag-configuration.md b/docs/guides/embedding-and-rag-configuration.md index e8660d12..0a9a33fa 100644 --- a/docs/guides/embedding-and-rag-configuration.md +++ b/docs/guides/embedding-and-rag-configuration.md @@ -82,7 +82,7 @@ llm: ## Tier 2 — OpenAI: best accuracy, cloud cost -**Config file:** `config_openai_large.yml` +**Config file:** `config/embeddings/openai-large.yml` ### Model `text-embedding-3-large` — 3 072-dim, OpenAI API, ~$0.13 per million tokens. @@ -102,7 +102,7 @@ Gain over MiniLM baseline: **+12 pp NDCG@10 (no rerank), +2 pp with CE reranker* export OPENAI_API_KEY="sk-..." # Using the dedicated config (port 8002 by default) -uv run perspicacite -c config_openai_large.yml serve +uv run perspicacite -c config/embeddings/openai-large.yml serve ``` Key settings: @@ -125,7 +125,7 @@ You can run both servers simultaneously (they share `chroma_db/` but use differe uv run perspicacite -c config.yml serve # Terminal 2 — OpenAI on :8002 -OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config_openai_large.yml serve +OPENAI_API_KEY=$OPENAI_API_KEY uv run perspicacite -c config/embeddings/openai-large.yml serve ``` Each server uses its own KB (`scifact_abstracts` for MiniLM, `scifact_openai_large` @@ -136,7 +136,7 @@ for OpenAI) and embeds queries with the matching model. See ## Tier 3a — Biomedical local: best life-science accuracy -**Config file:** `config_pubmedbert.yml` +**Config file:** `config/embeddings/pubmedbert.yml` ### Model `pritamdeka/S-PubMedBert-MS-MARCO` — 768-dim, PubMedBERT fine-tuned for retrieval on @@ -157,14 +157,14 @@ domain-adapted retrieval model with a powerful cross-encoder reranker. ### Launch ```bash -uv run perspicacite -c config_pubmedbert.yml serve +uv run perspicacite -c config/embeddings/pubmedbert.yml serve # Model auto-downloads from HuggingFace on first run (~440 MB) ``` For offline environments (after first download): ```bash TRANSFORMERS_OFFLINE=1 HF_DATASETS_OFFLINE=1 \ - uv run perspicacite -c config_pubmedbert.yml serve + uv run perspicacite -c config/embeddings/pubmedbert.yml serve ``` Key settings: @@ -187,7 +187,7 @@ rag_modes: ## Tier 3b — General local SOTA -**Config file:** `config_bge_m3.yml` +**Config file:** `config/embeddings/bge-m3.yml` ### Model `BAAI/bge-m3` — 1 024-dim, multilingual MTEB SOTA retrieval model. ~2.3 GB. @@ -208,7 +208,7 @@ knowledge_base: GPU launch: ```bash # If you have a CUDA GPU, sentence-transformers will use it automatically -uv run perspicacite -c config_bge_m3.yml serve +uv run perspicacite -c config/embeddings/bge-m3.yml serve ``` --- @@ -227,11 +227,11 @@ uv run perspicacite -c config.yml serve & # Port 8001 — SPECTER2 (scientific citation context) TRANSFORMERS_OFFLINE=1 HF_DATASETS_OFFLINE=1 \ - uv run perspicacite -c config_specter2.yml serve & + uv run perspicacite -c config/embeddings/specter2.yml serve & # Port 8002 — OpenAI 3-large (highest accuracy, paid) OPENAI_API_KEY=$OPENAI_API_KEY \ - uv run perspicacite -c config_openai_large.yml serve & + uv run perspicacite -c config/embeddings/openai-large.yml serve & ``` ### Ingest the same corpus into each KB @@ -338,7 +338,7 @@ llm: timeout: 300 # 14B can be slow for long answers ``` -See `config_qwen3_14b.yml` for a complete example. +See `config/embeddings/qwen3-14b.yml` for a complete example. **Thinking mode (Qwen3):** Qwen3 supports `/think` and `/no_think` tokens. The server inserts these based on mode complexity. Set `QWEN3_NO_THINK=1` env var to always @@ -364,10 +364,10 @@ RAM: ~300 MB. Works on any machine with internet for LLM calls. ```bash # Port 8005 — PubMedBERT + bge-reranker + local Qwen3 # First run: downloads ~2.6 GB of models -uv run perspicacite -c config_pubmedbert.yml serve +uv run perspicacite -c config/embeddings/pubmedbert.yml serve # With local LLM (Ollama): -# Edit config_pubmedbert.yml: llm.default_provider = "ollama", default_model = "qwen3:14b" +# Edit config/embeddings/pubmedbert.yml: llm.default_provider = "ollama", default_model = "qwen3:14b" ``` RAM: ~3 GB (PubMedBERT + bge-reranker + Qwen3 8B) or ~11 GB (Qwen3 14B). @@ -383,8 +383,8 @@ share the same server. ```bash # OpenAI 3-large + bge-reranker + Claude Opus OPENAI_API_KEY=$OPENAI_API_KEY ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \ - uv run perspicacite -c config_openai_large.yml serve -# Edit config_openai_large.yml: + uv run perspicacite -c config/embeddings/openai-large.yml serve +# Edit config/embeddings/openai-large.yml: # llm.default_provider = "anthropic" # llm.default_model = "claude-opus-4-5" # rag_modes.reranker_model = "BAAI/bge-reranker-v2-m3" diff --git a/docs/handoff-2026-05-17.md b/docs/handoff-2026-05-17.md index 54292a24..de792446 100644 --- a/docs/handoff-2026-05-17.md +++ b/docs/handoff-2026-05-17.md @@ -122,7 +122,7 @@ Papers whose DOI exists in the named KB are stripped before returning. Best-effo | `src/perspicacite/mcp/server.py` | `exclude_kb` on `search_literature`, `ingest_github_repo`, `ingest_skill_bundle` tools | | `src/perspicacite/pipeline/github/` | New package (fetcher, bundle, walk, chunk_producer) | | `src/perspicacite/pipeline/github_kb.py` | New — GitHub ingest orchestrator | -| `config.example.yml` | `google_scholar`, `ingest_mode`, `enabled_providers` comment | +| `config/example.yml` | `google_scholar`, `ingest_mode`, `enabled_providers` comment | --- diff --git a/docs/index.md b/docs/index.md index c6098ce6..edae1ddb 100644 --- a/docs/index.md +++ b/docs/index.md @@ -71,5 +71,5 @@ For contributors and people extending the codebase. - [README](../README.md) — project overview and quick start - [VISION.md](VISION.md) — framework vision and design philosophy - [CONTRIBUTING.md](../CONTRIBUTING.md) — contributor agreement and CLA workflow -- [MANUAL_QA.md](../MANUAL_QA.md) — manual QA checklist for UI features +- [MANUAL_QA.md](development/MANUAL_QA.md) — manual QA checklist for UI features - [ROADMAP.md](../ROADMAP.md) — high-level roadmap diff --git a/licensing-notes.md b/docs/licensing-notes.md similarity index 100% rename from licensing-notes.md rename to docs/licensing-notes.md diff --git a/docs/provider-matrix-status-2026-05-14.md b/docs/provider-matrix-status-2026-05-14.md index d01b2a1d..5da4002a 100644 --- a/docs/provider-matrix-status-2026-05-14.md +++ b/docs/provider-matrix-status-2026-05-14.md @@ -24,7 +24,7 @@ dispatch (config-resolver, no network). | `gemini` | SKIPPED | `gemini-1.5-flash` | `GOOGLE_API_KEY` not in environment | | `ollama` | SKIPPED | first available model | Ollama not reachable at localhost:11434 | | `claude_cli` | **PASS** | `haiku` | `claude` binary found; `~/.claude/config.json` present; real call returned non-empty string | -| `agent_cli` (codex) | **PASS** | `gpt-5.5` | `codex` binary found, `~/.codex/auth.json` present; full preset flags from `config.codex.example.yml` (`exec --skip-git-repo-check --sandbox read-only --ephemeral --output-last-message`); ~8 s round-trip | +| `agent_cli` (codex) | **PASS** | `gpt-5.5` | `codex` binary found, `~/.codex/auth.json` present; full preset flags from `config/providers/codex.yml` (`exec --skip-git-repo-check --sandbox read-only --ephemeral --output-last-message`); ~8 s round-trip | ## Stage-routing results @@ -68,7 +68,7 @@ Stage-routing PASS: 8 of 8 (all stages + fallback + dispatch-capture) is benign — the event loop is created implicitly on Python 3.13. A future cleanup could switch to `asyncio.run()` instead of `get_event_loop().run_until_complete()`. - `agent_cli` (codex) works fine via subprocess pipe stdin — no TTY required. - Verified live with the full preset from `config.codex.example.yml`: + Verified live with the full preset from `config/providers/codex.yml`: `exec --skip-git-repo-check --sandbox read-only --ephemeral --output-last-message `. Earlier draft of this test included an incorrect `sys.stdin.isatty()` skip; removed. diff --git a/docs/recipe-book-2026-05-15.md b/docs/recipe-book-2026-05-15.md index 1fea59dc..59ca240c 100644 --- a/docs/recipe-book-2026-05-15.md +++ b/docs/recipe-book-2026-05-15.md @@ -10,7 +10,7 @@ documents *intent* — "what should I run when I want to ...?" > **Prereqs:** `pip install -e .`, `perspicacite serve` is reachable > at `http://localhost:8000` for the recipes that need it, and a > `.env` with at least one `*_API_KEY` is in place. See -> `config/config.example.yml` for the canonical config layout. +> `config/config/example.yml` for the canonical config layout. --- diff --git a/docs/reference/config.md b/docs/reference/config.md index e8f869ce..1e80510d 100644 --- a/docs/reference/config.md +++ b/docs/reference/config.md @@ -1,6 +1,6 @@ # Configuration Reference -Perspicacité is configured via a YAML file. Copy `config.example.yml` to `config.yml` +Perspicacité is configured via a YAML file. Copy `config/example.yml` to `config.yml` and edit from there. The file path is passed with the `-c` flag: ```bash @@ -111,7 +111,7 @@ llm: providers: agent_cli: executable: "claude" - # ... see config.claude_code.example.yml + # ... see config/providers/claude-code.yml ``` --- diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs new file mode 100644 index 00000000..6c3a06d4 --- /dev/null +++ b/frontend/eslint.config.mjs @@ -0,0 +1,8 @@ +import next from "eslint-config-next/core-web-vitals"; + +const config = [ + { ignores: [".next/**", "next-env.d.ts"] }, + ...next, +]; + +export default config; diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 54a744ae..f3866adb 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -21,8 +21,11 @@ "@types/node": "^20", "@types/react": "^19", "@types/react-dom": "^19", + "eslint": "^9.39.4", + "eslint-config-next": "^16.2.6", "tailwindcss": "^4", - "typescript": "^5" + "typescript": "^5", + "vitest": "^4.1.7" } }, "node_modules/@alloc/quick-lru": { @@ 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"build": "next build", - "start": "next start" + "start": "next start", + "lint": "eslint .", + "typecheck": "tsc --noEmit", + "test": "vitest run" }, "dependencies": { "next": "16.2.6", @@ -21,7 +24,10 @@ "@types/node": "^20", "@types/react": "^19", "@types/react-dom": "^19", + "eslint": "^9.39.4", + "eslint-config-next": "^16.2.6", "tailwindcss": "^4", - "typescript": "^5" + "typescript": "^5", + "vitest": "^4.1.7" } } diff --git a/frontend/src/app/conversations/page.tsx b/frontend/src/app/conversations/page.tsx index e15da465..316ac180 100644 --- a/frontend/src/app/conversations/page.tsx +++ b/frontend/src/app/conversations/page.tsx @@ -68,12 +68,14 @@ export default function ConversationsPage() { }, []); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- async mount/debounce fetch; setState runs post-await, not synchronously void loadList(debounced); }, [debounced, loadList]); // Fetch selected detail. useEffect(() => { if (!selectedId) { + // eslint-disable-next-line react-hooks/set-state-in-effect -- clearing derived detail when selection cleared setDetail(null); setDetailError(null); return; diff --git a/frontend/src/app/kb/[name]/page.tsx b/frontend/src/app/kb/[name]/page.tsx index e529f1b3..70c52541 100644 --- a/frontend/src/app/kb/[name]/page.tsx +++ b/frontend/src/app/kb/[name]/page.tsx @@ -74,6 +74,7 @@ export default function KBDetailPage({ }, [name]); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- async mount fetch; setState post-await refresh(); }, [refresh]); diff --git a/frontend/src/app/kb/page.tsx b/frontend/src/app/kb/page.tsx index 8dc3360f..54f31463 100644 --- a/frontend/src/app/kb/page.tsx +++ b/frontend/src/app/kb/page.tsx @@ -47,10 +47,12 @@ export default function KBListPage() { }, []); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- async mount fetch; setState post-await refresh(); }, [refresh]); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- localStorage hydration after mount (SSR-safe; cannot run during render) setActiveKbName(loadPreferences().defaultKbName); }, []); diff --git a/frontend/src/app/reader/[doi]/page.tsx b/frontend/src/app/reader/[doi]/page.tsx index 0d418720..21a4da2d 100644 --- a/frontend/src/app/reader/[doi]/page.tsx +++ b/frontend/src/app/reader/[doi]/page.tsx @@ -24,6 +24,7 @@ export default function PaperReaderPage({ useEffect(() => { let cancelled = false; + // eslint-disable-next-line react-hooks/set-state-in-effect -- fetch-start flag before async load setLoading(true); papers .byDoi(doi) @@ -62,6 +63,7 @@ export default function PaperReaderPage({ useEffect(() => { if (!paper) return; const first = tabs.find((t) => t.available); + // eslint-disable-next-line react-hooks/set-state-in-effect -- fall back to first available tab when current becomes unavailable if (first && !tabs.find((t) => t.id === tab)?.available) setTab(first.id); }, [paper, tab, tabs]); diff --git a/frontend/src/app/settings/page.tsx b/frontend/src/app/settings/page.tsx index 511eb21c..82b8e413 100644 --- a/frontend/src/app/settings/page.tsx +++ b/frontend/src/app/settings/page.tsx @@ -21,6 +21,7 @@ export default function SettingsPage() { const [saved, setSaved] = useState(false); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- localStorage hydration after mount (SSR-safe) setPrefs(loadPreferences()); health().then(setH).catch(() => setH(null)); kbApi.list().then(setKbs).catch(() => setKbs([])); diff --git a/frontend/src/app/survey/[id]/page.tsx b/frontend/src/app/survey/[id]/page.tsx index 465dece2..64c4d9ba 100644 --- a/frontend/src/app/survey/[id]/page.tsx +++ b/frontend/src/app/survey/[id]/page.tsx @@ -52,6 +52,7 @@ export default function SurveyDetailPage({ useEffect(() => { let cancelled = false; + // eslint-disable-next-line react-hooks/set-state-in-effect -- fetch-start flag before async load setLoading(true); setError(null); survey diff --git a/frontend/src/components/ChatPanel.tsx b/frontend/src/components/ChatPanel.tsx index e291cbfb..8c28e262 100644 --- a/frontend/src/components/ChatPanel.tsx +++ b/frontend/src/components/ChatPanel.tsx @@ -90,6 +90,7 @@ export function ChatPanel({ // default DBs, default KB). Composer toggles still override per-request. useEffect(() => { const p = loadPreferences(); + // eslint-disable-next-line react-hooks/set-state-in-effect -- one-time preferences hydration after mount (SSR-safe; values then user-overridable) setMode(p.defaultMode); setDatabases(p.defaultDatabases); setMaxPapers(p.maxPapers); @@ -106,6 +107,7 @@ export function ChatPanel({ useEffect(() => { conversationIdRef.current = initialConversationId; if (!initialConversationId) { + // eslint-disable-next-line react-hooks/set-state-in-effect -- reset turns when navigating to a fresh chat setTurns([]); return; } @@ -136,6 +138,7 @@ export function ChatPanel({ return () => { cancelled = true; }; + // eslint-disable-next-line react-hooks/exhaustive-deps -- intentional: do not re-fetch history when mode changes }, [initialConversationId]); // Auto-scroll only when a NEW turn is added — not on every token — @@ -177,6 +180,11 @@ export function ChatPanel({ return () => clearInterval(interval); }, [streaming]); + const cancel = useCallback(() => { + abortRef.current?.abort(); + if (conversationIdRef.current) cancelChat(conversationIdRef.current); + }, []); + // Esc to cancel during streaming. useEffect(() => { if (!streaming) return; @@ -188,8 +196,7 @@ export function ChatPanel({ }; window.addEventListener("keydown", onKey); return () => window.removeEventListener("keydown", onKey); - // eslint-disable-next-line react-hooks/exhaustive-deps - }, [streaming]); + }, [streaming, cancel]); const submit = useCallback( async (queryArg?: string) => { @@ -389,11 +396,6 @@ export function ChatPanel({ [draft, mode, streaming, databases, initialConversationId, kbName, maxPapers, hybridWeight], ); - const cancel = useCallback(() => { - abortRef.current?.abort(); - if (conversationIdRef.current) cancelChat(conversationIdRef.current); - }, []); - const hasMessages = turns.length > 0; const lastAssistant = [...turns].reverse().find((t) => t.role === "assistant"); const livePhase: ChatPhase = streaming diff --git a/frontend/src/components/CommandPalette.tsx b/frontend/src/components/CommandPalette.tsx index a6b17f35..59b5cec7 100644 --- a/frontend/src/components/CommandPalette.tsx +++ b/frontend/src/components/CommandPalette.tsx @@ -51,6 +51,13 @@ export function CommandPalette() { const [open, setOpen] = useState(false); const [query, setQuery] = useState(""); const [active, setActive] = useState(0); + const [prevQuery, setPrevQuery] = useState(query); + if (query !== prevQuery) { + // Reset highlighted row when the query changes — done during render + // (React's recommended alternative to a setState-in-effect). + setPrevQuery(query); + setActive(0); + } const [chats, setChats] = useState([]); const [kbs, setKbs] = useState([]); @@ -112,10 +119,6 @@ export function CommandPalette() { .slice(0, 60); }, [chats, kbs, query]); - useEffect(() => { - setActive(0); - }, [query]); - const choose = useCallback( (item: Item) => { setOpen(false); diff --git a/frontend/src/components/Sidebar.tsx b/frontend/src/components/Sidebar.tsx index 6ac86b4e..e72979ce 100644 --- a/frontend/src/components/Sidebar.tsx +++ b/frontend/src/components/Sidebar.tsx @@ -42,6 +42,7 @@ export function Sidebar() { }, []); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- async fetch on mount/route change; setState post-await refresh(); }, [refresh, pathname]); diff --git a/frontend/src/components/SourceDrawer.tsx b/frontend/src/components/SourceDrawer.tsx index 9cea9a18..12c6cc6b 100644 --- a/frontend/src/components/SourceDrawer.tsx +++ b/frontend/src/components/SourceDrawer.tsx @@ -33,6 +33,7 @@ export function SourceDrawer({ // already gave us. useEffect(() => { if (!source) { + // eslint-disable-next-line react-hooks/set-state-in-effect -- reset drawer state when source cleared setDetail(null); setError(null); setTab("info"); diff --git a/frontend/src/components/ThemeToggle.tsx b/frontend/src/components/ThemeToggle.tsx index e0b0852a..99b50db7 100644 --- a/frontend/src/components/ThemeToggle.tsx +++ b/frontend/src/components/ThemeToggle.tsx @@ -18,6 +18,7 @@ export function ThemeToggle() { useEffect(() => { const stored = (localStorage.getItem(STORAGE_KEY) as Theme) ?? "system"; + // eslint-disable-next-line react-hooks/set-state-in-effect -- localStorage theme hydration after mount (SSR-safe) setTheme(stored); applyTheme(stored); }, []); diff --git a/frontend/src/components/ThinkingSteps.tsx b/frontend/src/components/ThinkingSteps.tsx index 5c9938a8..f72988fe 100644 --- a/frontend/src/components/ThinkingSteps.tsx +++ b/frontend/src/components/ThinkingSteps.tsx @@ -40,6 +40,7 @@ export function ThinkingSteps({ }) { const [open, setOpen] = useState(defaultOpen); useEffect(() => { + // eslint-disable-next-line react-hooks/set-state-in-effect -- auto-open the trail when a run starts (one-way latch; user can re-collapse) if (running && steps.length > 0) setOpen(true); }, [running, steps.length]); diff --git a/frontend/src/components/useLlmModelLabel.ts b/frontend/src/components/useLlmModelLabel.ts index 03c65be3..79b59614 100644 --- a/frontend/src/components/useLlmModelLabel.ts +++ b/frontend/src/components/useLlmModelLabel.ts @@ -13,10 +13,7 @@ export function useLlmModelLabel(): string | null { const [llm, setLlm] = useState(cached); useEffect(() => { - if (cached !== null) { - setLlm(cached); - return; - } + if (cached !== null) return; // already captured by useState(cached) initializer if (!inflight) { inflight = health() .then((h) => { diff --git a/frontend/src/lib/cost.test.ts b/frontend/src/lib/cost.test.ts new file mode 100644 index 00000000..4c9c129b --- /dev/null +++ b/frontend/src/lib/cost.test.ts @@ -0,0 +1,59 @@ +import { describe, expect, it } from "vitest"; + +import { estimateCostUsd, formatUsd } from "./cost"; + +describe("estimateCostUsd", () => { + it("returns null when the model is missing", () => { + expect(estimateCostUsd(null, 1000, 1000)).toBeNull(); + expect(estimateCostUsd(undefined, 1000, 1000)).toBeNull(); + }); + + it("returns null for an unknown model", () => { + expect(estimateCostUsd("some/unknown-model", 1000, 1000)).toBeNull(); + }); + + it("prices a known model by per-million rates", () => { + // deepseek-chat: $0.14 in / $0.28 out per million tokens. + const cost = estimateCostUsd("deepseek-chat", 1_000_000, 1_000_000); + expect(cost).toBeCloseTo(0.14 + 0.28, 10); + }); + + it("matches against provider-prefixed model strings", () => { + const cost = estimateCostUsd( + "openrouter/deepseek/deepseek-chat", + 2_000_000, + 0, + ); + expect(cost).toBeCloseTo(0.28, 10); + }); + + it("prefers the longest matching key", () => { + // "deepseek-reasoner" must win over the shorter "deepseek-chat" when + // both could appear; here the reasoner rates ($0.55/$2.19) apply. + const cost = estimateCostUsd("deepseek-reasoner", 1_000_000, 1_000_000); + expect(cost).toBeCloseTo(0.55 + 2.19, 10); + }); +}); + +describe("formatUsd", () => { + it("returns an empty string for null/undefined", () => { + expect(formatUsd(null)).toBe(""); + expect(formatUsd(undefined)).toBe(""); + }); + + it("floors tiny amounts to a sentinel", () => { + expect(formatUsd(0.00001)).toBe("<$0.0001"); + }); + + it("uses 4 decimals below a cent", () => { + expect(formatUsd(0.0025)).toBe("$0.0025"); + }); + + it("uses 3 decimals below a dime", () => { + expect(formatUsd(0.05)).toBe("$0.050"); + }); + + it("uses 2 decimals at or above a dime", () => { + expect(formatUsd(1.2345)).toBe("$1.23"); + }); +}); diff --git a/frontend/src/lib/streamAnimations.ts b/frontend/src/lib/streamAnimations.ts index 61766ffe..dd1c0372 100644 --- a/frontend/src/lib/streamAnimations.ts +++ b/frontend/src/lib/streamAnimations.ts @@ -50,17 +50,23 @@ export function useTypewriter(target: string, charsPerFrame = 60): string { // DOM progressively, which lets the user follow the cascade. export function useStaggeredList(items: T[], delayMs = 200): T[] { const [shownCount, setShownCount] = useState(items.length); + const [prevLen, setPrevLen] = useState(items.length); const lastTickRef = useRef(0); + // Reset during render when the list shrank (turn restart) — avoids a + // setState-in-effect cascade. + if (items.length < prevLen) { + setPrevLen(items.length); + setShownCount(items.length); + } else if (items.length !== prevLen) { + setPrevLen(items.length); + } + useEffect(() => { - // Reset if the list shrank (turn restart). - if (items.length < shownCount) { - setShownCount(items.length); - return; - } if (shownCount >= items.length) return; // Caller passed delayMs ≤ 0 — they want everything now. if (delayMs <= 0) { + // eslint-disable-next-line react-hooks/set-state-in-effect -- caller opted out of staggering; reveal all items at once setShownCount(items.length); return; } diff --git a/perspicacite_design_1.jsx b/perspicacite_design_1.jsx deleted file mode 100644 index 0c426ac4..00000000 --- a/perspicacite_design_1.jsx +++ /dev/null @@ -1,1087 +0,0 @@ -/* Perspicacité — single React component - Reimagined CNRS literature workspace, Claude Desktop × Perplexity DNA - Uses Tailwind v4 utility classes + var(--cnrs-*) tokens defined in index.html -*/ -const { useState, useEffect, useRef, useMemo, useCallback } = React; - -// ---------- data ---------- -const MODES = [ - { id: "basic", label: "Basic", sub: "Single-pass retrieval over your KB, fast answer." }, - { id: "advanced", label: "Advanced", sub: "Query rewriting + reranking; cited answer." }, - { id: "profound", label: "Profound", sub: "Iterative deepening; long-form synthesis." }, - { id: "agentic", label: "Agentic", sub: "Multi-step tools: search, fetch, cross-check." }, - { id: "survey", label: "Literature survey",sub: "Structured review across many corpora." }, - { id: "contradiction", label: "Contradiction", sub: "Find disagreements between sources." }, -]; - -const DATABASES = [ - { id: "kb-tfm", label: "audit-p72-tfm", papers: 2, chunks: 25, kind: "kb", on: true }, - { id: "kb-rag", label: "audit-p72-rag", papers: 2, chunks: 27, kind: "kb", on: true }, - { id: "kb-p75", label: "audit-p75", papers: 0, chunks: 0, kind: "kb", on: false }, - { id: "kb-p74", label: "audit-p74", papers: 2, chunks: 30, kind: "kb", on: false }, - { id: "kb-p73", label: "audit-p73", papers: 1, chunks: 15, kind: "kb", on: false }, - { id: "kb-p68", label: "audit-p68", papers: 1, chunks: 15, kind: "kb", on: false }, - { id: "kb-p64", label: "audit-p64", papers: 6, chunks: 82, kind: "kb", on: false }, - { id: "kb-p62", label: "audit-p62", papers: 4, chunks: 52, kind: "kb", on: false }, - { id: "kb-p57", label: "audit-p57", papers: 0, chunks: 0, kind: "kb", on: false }, - { id: "web-arxiv", label: "arXiv (web)", papers: "live", chunks: "—", kind: "web", on: false }, - { id: "web-cr", label: "Crossref", papers: "live", chunks: "—", kind: "web", on: false }, - { id: "web-pubmed", label: "PubMed", papers: "live", chunks: "—", kind: "web", on: false }, -]; - -const KNOWLEDGE_BASES = [ - { id: "audit-p72-tfm", title: "audit-p72-tfm", desc: "Papers on transformer architectures", papers: 2, chunks: 25, created: "May 19, 2026" }, - { id: "audit-p72-rag", title: "audit-p72-rag", desc: "Papers on retrieval-augmented generation", papers: 2, chunks: 27, created: "May 19, 2026" }, - { id: "audit-p75", title: "audit-p75", desc: "Created via MCP", papers: 0, chunks: 0, created: "May 19, 2026" }, - { id: "audit-p74", title: "audit-p74", desc: "Created via MCP", papers: 2, chunks: 30, created: "May 19, 2026" }, - { id: "audit-p73", title: "audit-p73", desc: "Created via MCP", papers: 1, chunks: 15, created: "May 19, 2026" }, - { id: "audit-p68", title: "audit-p68", desc: "Created via MCP", papers: 1, chunks: 15, created: "May 19, 2026" }, - { id: "audit-p64", title: "audit-p64", desc: "Created via MCP", papers: 6, chunks: 82, created: "May 19, 2026" }, - { id: "audit-p62", title: "audit-p62", desc: "Created via MCP", papers: 4, chunks: 52, created: "May 19, 2026" }, - { id: "audit-p57", title: "audit-p57", desc: "Created via MCP", papers: 0, chunks: 0, created: "May 19, 2026" }, - { id: "audit-p51", title: "audit-p51", desc: "Imported from audit_p51.bib", papers: 3, chunks: 41, created: "May 18, 2026" }, - { id: "audit-p49", title: "audit-p49", desc: "Audit KB for arXiv URL ingestion test", papers: 5, chunks: 64, created: "May 18, 2026" }, - { id: "audit-p44", title: "audit-p44", desc: "Screening and ingest chain audit", papers: 8, chunks: 102,created: "May 17, 2026" }, -]; - -const CONVOS = { - yesterday: [ - { id: "c1", title: "Which mass-spectrometry foundation models exist in 2026?", model: "deepseek-v4-flash", mode: "agentic" }, - { id: "c2", title: "feature based molecular networking review", model: "claude-haiku-4-5", mode: "advanced" }, - { id: "c3", title: "Which mass-spectrometry foundation models exist in 2026?", model: "deepseek-v4-flash", mode: "profound" }, - { id: "c4", title: "Summarise the state-of-the-art on multi-modal scientific search.", model: "gpt-5-mini", mode: "survey" }, - ], - earlier: [ - { id: "c5", title: "Self-RAG vs Corrective RAG — empirical differences", model: "claude-haiku-4-5", mode: "advanced" }, - { id: "c6", title: "Critique tokens taxonomy in RAG systems", model: "deepseek-v4-flash", mode: "basic" }, - { id: "c7", title: "BibTeX import edge cases (DOI without metadata)", model: "gpt-5-mini", mode: "basic" }, - ], -}; - -const SUGGESTED = [ - { q: "What are critique tokens in Self-RAG?", mode: "basic" }, - { q: "Compare retrieval-augmented generation with corrective RAG.", mode: "advanced" }, - { q: "Summarise the state-of-the-art on multi-modal scientific search.", mode: "survey" }, - { q: "Which mass-spectrometry foundation models exist in 2026?", mode: "agentic" }, -]; - -// A rich pre-baked "agentic" answer to populate the conversation view -const SAMPLE_ANSWER = { - query: "Which mass-spectrometry foundation models exist in 2026?", - mode: "agentic", - model: "deepseek-v4-flash", - thinking: [ - { t: "00:00.21", k: "plan", text: "Decompose: (1) define MS foundation model, (2) survey 2024–2026 releases, (3) compare modalities/scales." }, - { t: "00:01.04", k: "search", text: "Query KB audit-p72-tfm: \"foundation model mass spectrometry\" — 8 hits, 2 high-relevance.", meta: "8 hits" }, - { t: "00:02.12", k: "search", text: "Query KB audit-p72-rag: \"MS2 transformer pretraining\" — 4 hits, 1 high-relevance.", meta: "4 hits" }, - { t: "00:03.30", k: "fetch", text: "Fetch arXiv:2503.18421 — MS2Mol-XL technical report." }, - { t: "00:04.18", k: "fetch", text: "Fetch arXiv:2601.09812 — SpecBERT-2 release notes." }, - { t: "00:05.62", k: "reflect", text: "Two strong candidates with empirical results; one boundary case (MoleculeNet-MS) without pretraining objective — exclude.", meta: "rejected 1" }, - { t: "00:06.41", k: "compose", text: "Compose grounded answer, attach citations [1]–[4]." }, - ], - body: [ - { - kind: "p", - text: "As of May 2026, four publicly described systems meet a working definition of a mass-spectrometry foundation model — i.e. a single pre-trained encoder that transfers across spectral interpretation, retention-time prediction, and molecular property tasks without per-task feature engineering." - }, - { - kind: "list", - items: [ - ["MS2Mol-XL (2025) [1]", "1.4B parameters, contrastively pre-trained on 38M MS² spectra paired with SMILES. Tops MoNA and CASMI benchmarks on top-1 structure recovery."], - ["SpecBERT-2 (2026) [2]", "Encoder-only, 340M params; published in Nature Methods. Fine-tunes for retention-time and CCS regression with <1% labelled data."], - ["MetaMS-Flow (2025) [3]", "Diffusion backbone for spectrum-to-structure inversion; weaker zero-shot but strong with retrieval augmentation."], - ["CNRS-eDIAM/Halo-1 (2026) [4]", "In-house at ICN UMR 7272; 220M params, trained on natural-product corpora; reported on Côte d'Azur internal benchmarks."], - ] - }, - { kind: "p", text: "Two earlier systems often grouped under this label — MoleculeNet-MS and Spec2Vec — do not meet the pre-training criterion and are excluded from this comparison." }, - { kind: "p", text: "Contradictions surfaced: [1] and [3] disagree on top-1 recovery on CASMI-2022; [3]'s reported uplift is not reproduced by the [1] authors using the published weights." }, - ], - sources: [ - { n: 1, title: "MS2Mol-XL: a 1.4B contrastive encoder for mass-spectral interpretation", venue: "arXiv 2503.18421", year: 2025, color: "#d96f4a", letter: "M" }, - { n: 2, title: "Scaling laws for mass-spectrometry encoders (SpecBERT-2)", venue: "Nature Methods", year: 2026, color: "#4a8a6f", letter: "N" }, - { n: 3, title: "MetaMS-Flow: diffusion backbones for spectrum-to-structure inversion", venue: "NeurIPS", year: 2025, color: "#0d3a66", letter: "F" }, - { n: 4, title: "Halo-1: a domain-pretrained encoder for natural-product MS", venue: "ICN UMR 7272 TR", year: 2026, color: "#caa83a", letter: "H" }, - ], - tokens: { up: 1842, down: 612, elapsed: 18.4 }, -}; - -// ---------- tiny icon set (16px) — outline, IBM-friendly weights ---------- -const I = { - plus: (p) => , - search: (p) => , - arrow: (p) => , - globe: (p) => , - books: (p) => , - chart: (p) => , - sun: (p) => , - moon: (p) => , - settings:(p) => , - send: (p) => , - stop: (p) => , - chev: (p) => , - check: (p) => , - cmd: (p) => , - copy: (p) => , - share: (p) => , - bookmark:(p) => , - more: (p) => , - spark: (p) => , - paperclip:(p)=> , - filter: (p) => , -}; - -// ---------- top-level component ---------- -function Perspicacite() { - // theme - const [theme, setTheme] = useState("light"); - useEffect(() => { - const root = document.documentElement; - if (theme === "dark") root.classList.add("dark"); - else root.classList.remove("dark"); - }, [theme]); - - // view - const [view, setView] = useState("chat"); // 'home' | 'chat' | 'knowledge' | 'survey' - const [activeConvo, setActiveConvo] = useState("c1"); - const [paletteOpen, setPaletteOpen] = useState(false); - const [dbOpen, setDbOpen] = useState(false); - const [thinkingOpen, setThinkingOpen] = useState(true); - - // composer - const [mode, setMode] = useState("agentic"); - const [input, setInput] = useState(""); - const [dbs, setDbs] = useState(() => Object.fromEntries(DATABASES.map(d => [d.id, d.on]))); - const dbCount = Object.values(dbs).filter(Boolean).length; - const dbTotal = DATABASES.length; - - // streaming sim - const [running, setRunning] = useState(false); - const [elapsed, setElapsed] = useState(0); - const [streamMsg, setStreamMsg] = useState(null); // {kind:'stream', stepIdx, bodyIdx, chars} - const [conversation, setConversation] = useState([ - // existing baked conversation: 1 user, 1 assistant (the SAMPLE_ANSWER) - { role: "user", text: SAMPLE_ANSWER.query }, - { role: "assistant", mode: SAMPLE_ANSWER.mode, model: SAMPLE_ANSWER.model, - thinking: SAMPLE_ANSWER.thinking, body: SAMPLE_ANSWER.body, - sources: SAMPLE_ANSWER.sources, tokens: SAMPLE_ANSWER.tokens, done: true }, - ]); - - // global shortcuts - useEffect(() => { - const onKey = (e) => { - if ((e.metaKey || e.ctrlKey) && e.key.toLowerCase() === "k") { - e.preventDefault(); - setPaletteOpen(v => !v); - } else if (e.key === "Escape") { - setPaletteOpen(false); - setDbOpen(false); - } - }; - window.addEventListener("keydown", onKey); - return () => window.removeEventListener("keydown", onKey); - }, []); - - // elapsed timer while running - useEffect(() => { - if (!running) return; - const t0 = performance.now(); - const id = setInterval(() => setElapsed((performance.now() - t0) / 1000), 100); - return () => clearInterval(id); - }, [running]); - - // send: simulate agentic streaming - const send = (q, optMode) => { - const text = (q ?? input).trim(); - if (!text) return; - const m = optMode ?? mode; - setInput(""); - setView("chat"); - setMode(m); - setRunning(true); - setElapsed(0); - setThinkingOpen(true); - - const newUser = { role: "user", text }; - const newAssistant = { - role: "assistant", mode: m, model: SAMPLE_ANSWER.model, - thinking: [], body: [], sources: [], tokens: { up: 0, down: 0, elapsed: 0 }, - done: false - }; - setConversation(c => [...c, newUser, newAssistant]); - - // schedule thinking steps then body - const steps = SAMPLE_ANSWER.thinking; - const body = SAMPLE_ANSWER.body; - const srcs = SAMPLE_ANSWER.sources; - let acc = 0; - steps.forEach((s, i) => { - acc += 600 + Math.random() * 500; - setTimeout(() => { - setConversation(c => { - const cp = c.slice(); - const last = { ...cp[cp.length - 1] }; - last.thinking = steps.slice(0, i + 1); - cp[cp.length - 1] = last; - return cp; - }); - }, acc); - }); - // body - body.forEach((b, i) => { - acc += 800; - setTimeout(() => { - setConversation(c => { - const cp = c.slice(); - const last = { ...cp[cp.length - 1] }; - last.body = body.slice(0, i + 1); - cp[cp.length - 1] = last; - return cp; - }); - }, acc); - }); - // sources + done - acc += 700; - setTimeout(() => { - setConversation(c => { - const cp = c.slice(); - const last = { ...cp[cp.length - 1] }; - last.sources = srcs; - last.tokens = { up: 1700 + Math.floor(Math.random()*300), down: 500 + Math.floor(Math.random()*200), elapsed: elapsed }; - last.done = true; - cp[cp.length - 1] = last; - return cp; - }); - setRunning(false); - }, acc); - }; - - const stop = () => { - setRunning(false); - setConversation(c => { - const cp = c.slice(); - const last = { ...cp[cp.length - 1] }; - if (last && last.role === "assistant" && !last.done) { - last.done = true; - if (last.body.length === 0) last.body = [{ kind: "p", text: "Stopped." }]; - } - cp[cp.length - 1] = last; - return cp; - }); - }; - - const newChat = () => { - setConversation([]); - setView("home"); - setActiveConvo(null); - }; - - return ( -
- setPaletteOpen(true)} - newChat={newChat} - /> -
- {view === "chat" && ( - send(s, m)} - /> - )} - {view === "home" && ( - send(q, m)} /> - )} - {view === "knowledge" && } - {view === "survey" && } - setDbOpen(true)} - send={() => send()} - running={running} stop={stop} - elapsed={elapsed} - /> -
- - {dbOpen && setDbOpen(false)} />} - {paletteOpen && setPaletteOpen(false)} - onNav={(v) => { setView(v); setPaletteOpen(false); }} - onAsk={(q, m) => { send(q, m); setPaletteOpen(false); }} - onNewChat={() => { newChat(); setPaletteOpen(false); }} - setMode={(m) => { setMode(m); setPaletteOpen(false); }} - />} -
- ); -} - -// ---------- Sidebar ---------- -function Sidebar({ theme, setTheme, view, setView, activeConvo, setActiveConvo, openPalette, newChat }) { - return ( - - ); -} - -function SectionLabel({ children, className = "" }) { - return
{children}
; -} - -function ConvoItem({ c, active, onClick }) { - return ( - - ); -} - -function NavItem({ icon, label, badge, active, onClick }) { - return ( - - ); -} - -// ---------- Halo (signature device) ---------- -function Halo({ size = 720, x = "55%", y = "-22%", breathing = false, opacity }) { - return ( -
-
-
- ); -} - -// ---------- Home view (empty-state) ---------- -function HomeView({ mode, onPick }) { - const m = MODES.find(x => x.id === mode) ?? MODES[0]; - return ( -
- -
-
Perspicacité · eDIAM
-

- Ask the literature. -

-

- {m.label} mode · {m.sub} -

- -
- {SUGGESTED.map((s, i) => ( - - ))} -
-
-
- ); -} - -// ---------- Chat view ---------- -function ChatView({ conversation, thinkingOpen, setThinkingOpen, running, onAsk }) { - const scrollRef = useRef(null); - useEffect(() => { - if (!scrollRef.current) return; - scrollRef.current.scrollTop = scrollRef.current.scrollHeight; - }, [conversation]); - - return ( -
- {/* halo */} -
- -
- -
- {conversation.map((m, i) => - m.role === "user" - ? - : - )} -
-
- ); -} - -function UserMessage({ text }) { - return ( -
-
- {text} -
-
- ); -} - -function AssistantMessage({ msg, thinkingOpen, setThinkingOpen, running }) { - return ( -
- {/* mode tag */} -
- - {running && Working…} - {!running && msg.done && {(msg.tokens?.elapsed ?? 18.4).toFixed(1)}s · ↑{msg.tokens?.up ?? 0} ↓{msg.tokens?.down ?? 0}} -
- - {/* Thinking trail */} - {msg.thinking?.length > 0 && ( -
- - {thinkingOpen && ( -
    - {msg.thinking.map((s, i) => ( -
  1. - {s.t} - - {s.k} - - {s.text} - {s.meta && {s.meta}} -
    2. - ))} - {running && ( -
  2. - ∙∙∙ - … -
    3. - )} -
- )} -
- )} - - {/* Body */} -
- {msg.body.map((b, i) => { - if (b.kind === "p") return

{renderInline(b.text, msg.sources)}

; - if (b.kind === "list") return ( -
    - {b.items.map((it, j) => ( -
  • - -
    - {renderInline(it[0], msg.sources)}{" — "} - {renderInline(it[1], msg.sources)} -
    -
    • - ))} -
- ); - return null; - })} - {running && msg.body.length > 0 && } -
- - {/* Sources */} - {msg.sources?.length > 0 && ( - <> -
-
Sources
-
- -
-
- {msg.sources.map(s => )} -
- - )} - - {/* Action row */} - {msg.done && ( -
- } label="Copy"/> - } label="Export"/> - }label="Pin"/> - - -
- )} -
- ); -} - -function ActionBtn({ icon, label }) { - return ( - - ); -} - -function stepStyle(k) { - // outlined colored chips - const map = { - plan: { color: "var(--cnrs-blue)", bg: "color-mix(in srgb, var(--cnrs-blue) 12%, transparent)" }, - search: { color: "#5d6a78", bg: "color-mix(in srgb, #5d6a78 12%, transparent)" }, - fetch: { color: "var(--cnrs-coral)", bg: "color-mix(in srgb, var(--cnrs-coral) 14%, transparent)" }, - reflect: { color: "var(--cnrs-sage)", bg: "color-mix(in srgb, var(--cnrs-sage) 14%, transparent)" }, - compose: { color: "#a07a14", bg: "color-mix(in srgb, #ffeb6e 50%, transparent)" }, - }; - const s = map[k] ?? map.plan; - return ""; -} - -// Render inline text and turn [N] markers into superscript citation pills -function renderInline(text, sources) { - if (!sources) return text; - const parts = []; - let last = 0; - const re = /\[(\d+)\]/g; - let m; - while ((m = re.exec(text)) !== null) { - if (m.index > last) parts.push(text.slice(last, m.index)); - const n = parseInt(m[1], 10); - const src = sources.find(s => s.n === n); - parts.push( - e.preventDefault()} - className="cite-pill inline-flex items-center justify-center -translate-y-[2px] mx-[1px]" - style={{ - background: src?.color ?? "var(--cnrs-blue)", - color: "white", fontFamily: "var(--font-mono)", - fontSize: 10, fontWeight: 600, width: 16, height: 16, - borderRadius: 5, lineHeight: 1, letterSpacing: 0, - }} - title={src?.title}> - {n} - - ); - last = m.index + m[0].length; - } - if (last < text.length) parts.push(text.slice(last)); - return parts; -} - -function SourceCard({ s }) { - return ( - e.preventDefault()} - className="group rounded-xl border border-line bg-card hover:bg-paper-2 hover:border-line-strong transition px-3.5 py-3 flex items-start gap-3"> - {s.letter} -
-
{s.title}
-
- {s.venue} - · - {s.year} -
-
- [{s.n}] - - ); -} - -function ModeBadge({ mode }) { - const m = MODES.find(x => x.id === mode) ?? MODES[0]; - return ( - - {m.label} - - ); -} - -// ---------- Knowledge bases view ---------- -function KnowledgeView() { - return ( -
- -
-
-
-
Knowledge bases
-

Your literature corpora.

-

Curate DOIs and BibTeX into searchable, embedded knowledge bases.

-
- -
- -
- - {KNOWLEDGE_BASES.length} total -
- Sort - -
- -
- {KNOWLEDGE_BASES.map(k => ( -
- -

{k.title}

-

{k.desc}

-
-
- - -
-
Created {k.created}
-
- ))} -
-
-
- ); -} - -function Stat({ label, value }) { - return ( -
-
{label}
-
{value}
-
- ); -} - -// ---------- Literature survey view ---------- -function SurveyView() { - const cols = [ - { id: "claim", label: "Claim", w: "26%" }, - { id: "ms2mol", label: "MS2Mol-XL", w: "18%" }, - { id: "specbert", label: "SpecBERT-2", w: "18%" }, - { id: "metamsflow",label: "MetaMS-Flow",w: "18%" }, - { id: "halo1", label: "Halo-1", w: "20%" }, - ]; - const rows = [ - ["Top-1 structure recovery on CASMI-22", "0.58 [1]", "0.51 [2]", "0.61 [3] ⚠︎", "—"], - ["Pretraining objective", "Contrastive (MS²↔SMILES) [1]", "MLM on spectra [2]", "Diffusion [3]", "Domain-pretrained [4]"], - ["Parameter count", "1.4B [1]", "340M [2]", "≈ 700M [3]", "220M [4]"], - ["License", "Apache-2.0 [1]", "Non-commercial [2]", "Apache-2.0 [3]", "Internal [4]"], - ["Fine-tunable in <1% labelled regime", "Reported [1]", "Yes [2]", "Unclear", "Yes [4]"], - ]; - - return ( -
- -
-
-
-
Literature survey
-

MS foundation models — comparison.

-

Side-by-side claims across the four 2025–2026 candidate systems. Cells link back to the supporting passage.

-
-
- - -
-
- -
- - - - {cols.map(c => ( - - ))} - - - - {rows.map((r, i) => ( - - {r.map((cell, j) => ( - - ))} - - ))} - -
{c.label}
{cell}
-
- - -
-
- ); -} - -// ---------- Composer ---------- -function Composer({ mode, setMode, input, setInput, dbCount, dbTotal, openDbs, send, running, stop, elapsed }) { - const taRef = useRef(null); - // auto-grow - useEffect(() => { - if (!taRef.current) return; - taRef.current.style.height = "auto"; - taRef.current.style.height = Math.min(220, taRef.current.scrollHeight) + "px"; - }, [input]); - - const onKey = (e) => { - if (e.key === "Enter" && !e.shiftKey) { e.preventDefault(); send(); } - }; - - return ( -
- {/* Status bar (Perplexity-style) */} - {(running) && ( -
-
- - - Sending query… - - · - {elapsed.toFixed(1)}s - · - 14 ↑ 0 ↓ - · - {mode} - · - deepseek-v4-flash - -
-
- )} - -
- {/* textarea */} -