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cortex-works/cortex-ast/.github/copilot-instructions.md

The Golden Rule (Non‑Negotiable): - NEVER use standard IDE/shell tools (grep, rg, cat, head, tree, ls, git diff) for codebase exploration, symbol lookup, or refactor verification. - ALWAYS use CortexAST Megatools. They are AST-accurate, token-efficient, and designed to keep agents on rails. - If a tool returns an error telling you which parameter you forgot, treat it as an instruction and retry the tool call (do not guess). Megatool Quick‑Reference Whenever you are asked to perform a non-trivial refactor or…

Copilot instructions9 starsChanged 7 months ago

## MCP Tool Usage Rules (CortexAST + cortex-scout)

### CortexAST Priority Rules

**The Golden Rule (Non‑Negotiable):**
- NEVER use standard IDE/shell tools (`grep`, `rg`, `cat`, `head`, `tree`, `ls`, `git diff`) for codebase exploration, symbol lookup, or refactor verification.
- ALWAYS use CortexAST Megatools. They are AST-accurate, token-efficient, and designed to keep agents on rails.
- If a tool returns an error telling you which parameter you forgot, treat it as an instruction and retry the tool call (do not guess).

**Megatool Quick‑Reference**

| Task | Megatool | Action Enum | Required Params | Key Optional Params |
|---|---|---|---|---|
| Repo overview (files + public symbols) | `cortex_code_explorer` | `map_overview` | `target_dir` (use `.` for whole repo) | `exclude` (dir-name array), `search_filter`, `max_chars`, `ignore_gitignore` |
| Token-budgeted context slice (XML) | `cortex_code_explorer` | `deep_slice` | `target` | `exclude` (dir-name array), `budget_tokens`, `skeleton_only`, `query`, `query_limit`, `single_file` (bool — exact target only, no vector spill), `only_dir` (string — restrict query to this subdir) |
| Extract exact symbol source | `cortex_symbol_analyzer` | `read_source` | `path` + `symbol_name` *(or `path` + `symbol_names` for batch)* | `instance_index` (0-based), `skeleton_only` |
| Find all usages before signature change | `cortex_symbol_analyzer` | `find_usages` | `symbol_name` + `target_dir` | |
| Find trait/interface implementors | `cortex_symbol_analyzer` | `find_implementations` | `symbol_name` + `target_dir` | |
| Blast radius before rename/move/delete | `cortex_symbol_analyzer` | `blast_radius` | `symbol_name` + `target_dir` | |
| Cross-boundary update checklist | `cortex_symbol_analyzer` | `propagation_checklist` | `symbol_name` *(or legacy `changed_path`)* | `aliases`, `only_dir` (restrict scan to one microservice dir) |
| Save pre-change snapshot | `cortex_chronos` | `save_checkpoint` | `path` + `symbol_name` + `semantic_tag` | `namespace` |
| List snapshots | `cortex_chronos` | `list_checkpoints` | *(none)* | `namespace` |
| Compare snapshots (AST diff) | `cortex_chronos` | `compare_checkpoint` | `symbol_name` + `tag_a` + `tag_b` *(use `tag_b="__live__"` + `path` to diff against current state)* | `namespace`, `path` |
| Delete old snapshots (housekeeping) | `cortex_chronos` | `delete_checkpoint` | `symbol_name` and/or `semantic_tag` *(optional: `path`, `namespace`)* — Automatically searches legacy flat `checkpoints/` if no matches in namespace. | `namespace` |
| Compile/lint diagnostics | `run_diagnostics` | *(none)* | `repoPath` | |

## The Ultimate CortexAST Refactoring SOP

Whenever you are asked to perform a non-trivial refactor or update a core feature, you MUST generate and print this Markdown checklist into the chat **before writing any code**, and check the boxes as you proceed:

### 🧠 Refactoring Orchestration Plan
- [ ] **Phase 1: Recon & Blast Radius**
  - [ ] Use `map_overview` to understand the domain.
  - [ ] Use `blast_radius` (or `find_usages`) on the target symbol.
- [ ] **Phase 2: Snapshot**
  - [ ] Use `save_checkpoint` on the target files/symbols.
- [ ] **Phase 3: Execution**
  - [ ] Read minimal context using `read_source` (`skeleton_only: true` if large).
  - [ ] Write the code edits.
- [ ] **Phase 4: Verification & Sync**
  - [ ] Use `run_diagnostics` to catch compiler errors.
  - [ ] Use `compare_checkpoint` to verify structural intent.
  - [ ] Use `propagation_checklist` to ensure TS/Python/Proto boundaries are updated.

**The Autonomous Refactoring Flow (Rails)**

Follow this sequence for any non-trivial refactor (especially renames, signature changes, or cross-module work):

1. **Explore** → `cortex_code_explorer(action: map_overview)`
2. **Isolate** → `cortex_symbol_analyzer(action: read_source)` (get the exact symbol source before editing)
3. **Measure Impact** →
  - Use `cortex_symbol_analyzer(action: find_usages)` BEFORE changing any signature
  - Use `cortex_symbol_analyzer(action: blast_radius)` BEFORE any rename/move/delete
4. **Checkpoint** → `cortex_chronos(action: save_checkpoint, semantic_tag: pre-refactor)`
5. **Edit Code** → make the minimal change
6. **Verify** →
  - `run_diagnostics` immediately after editing
  - `cortex_chronos(action: compare_checkpoint)` to verify semantics (never use `git diff`); prefer `tag_b="__live__"` for "before vs now"
7. **Cross‑Sync** → `cortex_symbol_analyzer(action: propagation_checklist)` when touching shared types/contracts

**Output safety (spill prevention):**
- Output is truncated server-side at `max_chars` (default **8000**). VS Code Copilot writes responses larger than ~8 KB to workspace storage — the 8000 default is calibrated to stay below that threshold. Set `max_chars` explicitly (e.g. `3000`) for large-scope queries; increase only if your client handles larger inline output.

**`exclude` best practice (map_overview + deep_slice):**
- If `map_overview` returns “Massive Directory” or counts look inflated (e.g. `node_modules/`, build outputs, generated code), pass `exclude: ["node_modules", "vendor", "__pycache__", "build", "dist"]`.
- `exclude` matches directory **base names** (not full paths) and prunes at every depth.
- Prefer `exclude` over widening `target_dir` — it keeps scans focused and avoids summary-only mode.
**`single_file` and `only_dir` best practice (deep_slice):**
- Use `single_file: true` when you want **exactly one file** — it skips all vector search and returns only the `target`. Takes priority over `query`. Eliminates the "goes wide" issue for known targets.
- Use `only_dir` when `target` is a file but you still want semantic `query=` ranking, scoped to a specific subdirectory. Example: `target='src/auth.rs', query='token refresh', only_dir='src/auth'`.
- In polyrepo / microservice setups with many services sharing a symbol, prefer `only_dir='services/auth'` over a global `target_dir='.'` to avoid blowing the file cap.

**`only_dir` best practice (propagation_checklist):**
- `only_dir` overrides `target_dir` — use it to scope checklist output to one microservice without changing `target_dir='.'` semantics.
- Useful when a symbol is ubiquitous (would hit the 50-file blast-radius cap) and you want to tackle one service at a time.
- Example: `symbol_name='TrainingJob', only_dir='services/training'`.
**`instance_index` best practice (read_source):**
- Some files legitimately contain multiple same-named definitions. When that happens, `read_source` will prepend a “Disambiguation: Found N instances…” header.
- Default is instance 0. To select a different one, pass `instance_index: 1` (second), `2` (third), etc.
- If your goal is “where is this used?”, use `find_usages` first; if your goal is “show me all defs”, call `read_source` repeatedly with different `instance_index` values.

**`deep_slice` path hint behavior:**
- If you pass a target that doesn’t exist (e.g. `"orchestrator"` instead of `"orchestrator.rs"`), the server may return “Did you mean one of: …” suggestions. Use one of the suggested paths to avoid a retry loop.

**`compare_checkpoint` identical behavior:**
- If the two snapshots are identical, Chronos will return a compact “✅ NO STRUCTURAL DIFF” summary instead of printing the full symbol twice.
**`delete_checkpoint` source label:**
- When deletions come from a named namespace directory, the confirmation reads: `"Deleted N/M checkpoint(s) from namespace 'name' (path)"`.
- When no matches exist in the namespace dir and the legacy flat `checkpoints/` directory is searched instead, the label switches to `"legacy flat store (path)"`. This distinction tells you whether the deleted checkpoints were created under the old pre-namespace layout.
**`repoPath` best practice:**
- Always pass `repoPath` explicitly on every tool call (e.g. `repoPath="/Users/me/project"`) when you know the path. Without it, the server uses the root established by the MCP `initialize` handshake.
- **CRITICAL Safeguard:** For safety, if CortexAST resolves to a "dead root" (OS root or Home directory), it returns a **CRITICAL error** instead of proceeding. You MUST catch this and provide the correct `repoPath`.
- Use the absolute workspace root path, not a subdirectory.
- **Server owners**: configure `--root /absolute/path/to/project` in your MCP server args (or set `CORTEXAST_ROOT` env var). This is the most reliable fix — it sets the default root at server startup so every tool call resolves correctly even without an explicit `repoPath`. Example VS Code `settings.json`: `"args": ["mcp", "--root", "/Users/me/my-project"]`.
- **Root resolution order** (first non-dead value wins):
  1. `repoPath` param in the tool call — per-call override
  2. Root from the MCP `initialize` request (`rootUri` / `rootPath` / `workspaceFolders[0].uri`) — **the authoritative protocol-level value**; overwrites the bootstrap
  3. `--root` CLI flag / `CORTEXAST_ROOT` env var — startup bootstrap
  4. IDE env vars: `VSCODE_WORKSPACE_FOLDER`, `VSCODE_CWD`, `IDEA_INITIAL_DIRECTORY`, `PWD`/`INIT_CWD` (if ≠ `$HOME`) — checked both at startup AND directly inside every tool call (belt-and-suspenders)
  5. Find-up heuristic on the tool's own `path` / `target_dir` / `target` argument — walks ancestors looking for `.git`, `Cargo.toml`, `package.json`
  6. `cwd` — **refused if it equals `$HOME` or OS root** (CRITICAL error)

**Propagation best practice (Hybrid Omni‑Match):**
- `propagation_checklist` automatically matches common casing variants of `symbol_name` (PascalCase / camelCase / snake_case).
- When a symbol is renamed across boundaries (e.g. Rust `TrainingEngineCapabilities` → TS `trainingCaps`), pass `aliases: ["trainingCaps"]` to catch cross-language usage without heavy import tracing.

# MCP Usage Guidelines — cortex-scout

These rules encode the optimal agent workflow for cortex-scout tools.
They are hardcoded here so every AI agent working in this repository follows
the same efficient, hallucination-resistant research process.

---

## cortex-scout Priority Rules

### 1. Memory Before Search (mandatory — NEVER skip)
- **ALWAYS** call `research_history` BEFORE calling `search_web`, `search_structured`, **or** `scrape_url`
- If a result is returned with similarity score ≥ 0.60, use the cached data directly
  and skip the live fetch entirely **ONLY IF** it passes the cache-quality guard below
- Only proceed to a fresh live search/fetch when `research_history` returns no relevant hit
- This rule applies to EVERY research cycle, including retries and follow-up fetches

**Cache-quality guard (mandatory):**
- If the cached entry indicates `word_count < 50` (or similarly sparse content), treat it as a **low-quality scrape** and DO NOT skip a live fetch.
- If the cached entry contains warnings that imply placeholder/blocked/sparse content (e.g. `placeholder_page`, `short_content`, `content_restricted`, `low_extraction_score`), treat it as **low-quality** and DO NOT skip a live fetch.
- If the cached entry has `entry_type == "search"` (a search-index summary, not a page scrape), **do NOT treat a similarity ≥ 0.60 hit as a reason to skip `scrape_url`**. Search entries carry no per-page `word_count` metadata — always follow up with a fresh `scrape_url` on the top result URL.
- Canonical example: `https://crates.io/crates/{name}` is often JS-rendered and can return a tiny placeholder. For Rust crates, prefer a fresh fetch on `https://docs.rs/crate/{name}/latest` (server-rendered) when cache looks sparse.

### 1a. Dynamic Parameters — Always Tune for the Task (mandatory)
- **`max_chars` controls the TOTAL serialized output payload**, not just the text field.
  Increase it for large pages (e.g. `max_chars: 50000`), decrease for tight token budgets.
- **Agent-tunable parameters** — set these to match your task:
  | Param | Default | When to change |
  |---|---|---|
  | `max_chars` | 10000 | Increase for deep content; decrease for summaries |
  | `snippet_chars` | 120/200 | Increase for detailed research snippets |
  | `max_headings` | 10 | Decrease for summary output |
  | `max_images` | 3 | Increase for image-rich pages |
  | `short_content_threshold` | 50 | Adjust for minimal/sparse pages |
  | `extraction_score_threshold` | 0.4 | Lower for low-quality HTML pages |
  | `placeholder_word_threshold` | 10 | Tune for JS-heavy pages |

### 2. Prefer `web_search_json` Over `web_search` + `web_fetch`
- `search_structured` combines search + pre-scraped content summaries in a **single call**
- Use `search_structured` as the **default first step** for any research task
- Only fall back to `search_web` (without content) when you specifically need raw URLs only
- For private/internal/unlisted tools that won’t be indexed publicly: skip search and go directly to `scrape_url` on the known repo/docs URL (if you have it).

### 3. Use `web_fetch` with Noise Reduction for Documentation Pages
- For documentation, article, or tutorial pages always set:
  ```
  output_format: "clean_json"
  strict_relevance: true
  query: "<your specific question>"
  ```
- This strips 100 % of nav/footer/boilerplate and keeps only query-relevant paragraphs
- Token savings are typically 60–80 % compared to raw text output
- If you see `clean_json_truncated` in warnings, increase `max_chars` (the tool clips large pages to prevent output spilling).
- Note: semantic shaving intentionally bypasses when `word_count < 200` (short pages are returned whole).
- **Raw file auto-detection**: when the URL ends in `.md`, `.mdx`, `.rst`, `.txt`, `.csv`, `.toml`, `.yaml`, or `.yml`, `clean_json` mode **automatically skips the HTML extraction pipeline** and returns the raw content directly — no duplicate frontmatter, no noise. The response will contain a `raw_markdown_url` warning. To read a raw GitHub file, prefer `scrape_url(output_format: "text")` for prose or `scrape_url(output_format: "clean_json")` for structured paragraphs.

### 4. Rotate Proxy on First Block Signal (mandatory)
- If `scrape_url` or `search_web` returns **403 / 429 / rate-limit / IP-block**:
  1. Immediately call `proxy_manager` with `action: "grab"`
  2. Retry the failed call with `use_proxy: true`
- Do NOT retry the same call without rotating first; do NOT escalate to `non_robot_search`
  until proxy rotation has also failed

### 4a. Auto-Escalation on Low Confidence (mandatory — no repeat prompt)
- If `scrape_url` returns `confidence < 0.3` OR `extraction_score < 0.4` in the response:
  1. **First**: retry with `quality_mode: "aggressive"` (triggers full CDP browser rendering)
  2. **If still failing**: automatically escalate to `visual_scout` to screenshot the page
  3. **If auth-wall confirmed**: escalate to `human_auth_session` WITHOUT waiting for further
     user instructions — surface the reason and proceed autonomously
- For `extract_structured` / `fetch_then_extract`: if response includes `confidence == 0.0`
  AND `placeholder_page` warning, immediately retry via `non_robot_search` (HITL/CDP)
- **Never** leave the agent stuck on a low-confidence result without attempting escalation

### 5. Structured Extraction — `fetch_then_extract` / `extract_structured`

Use schema-driven extraction when you need a stable JSON shape for downstream agent logic.

- Prefer `fetch_then_extract` for **one-shot** workflows (fetch + extract in the same tool call).
- Use `extract_structured` when you need schema extraction on an already-known URL (agent framework routes through it).
- **`raw_markdown_url` auto-warn**: both `extract_structured` and `fetch_then_extract` automatically inject a warning into `warnings[]` when the URL is a raw `.md`/`.mdx`/`.rst`/`.txt` file — fields will likely return `null` and confidence will be low. Use `web_fetch(output_format: "clean_json")` instead for raw Markdown sources.

Strict mode (default):
- `strict: true` enforces schema shape (no drift):
  - missing array-like fields → `[]`
  - missing scalar fields → `null`
- In strict mode with an explicit schema, metadata keys like `_title` / `_url` are suppressed.

Confidence safety (mandatory):
- `confidence == 0.0` + `placeholder_page` warning fires **only when BOTH of the following are true**:
  1. `word_count < placeholder_word_threshold` (default 10) **or** content has ≤ 1 non-empty line
  2. ≥ `placeholder_empty_ratio` (default 0.9) of **non-array** schema fields are null/empty string
  - **Empty arrays are excluded from condition 2** — `[]` is a valid "no items found" result and is
    never counted as a placeholder signal. A schema with only array fields (`structs`, `modules`, etc.)
    will **never** trigger confidence=0.0 via this path.
  - When fired: the page is an unrendered JS-only shell (e.g. crates.io, npm). Do NOT trust any fields.
    Escalate to CDP/browser rendering or HITL auth tools.
  - When NOT fired: partial extraction is valid — e.g. `structs: [32 items]` + `modules: []` stays
    above 0.0 because `structs` is a non-empty array (no scalar fields to fail the check).
- Tuning: pass `placeholder_word_threshold` (integer) and `placeholder_empty_ratio` (0–1 float) to
  `extract_structured` / `fetch_then_extract` when the defaults cause false positives or false negatives.

Input constraint:
- Don’t point structured extraction at raw `.md` / `.json` / `.txt` unless that’s intentionally your source.
  For docs pages, prefer `web_fetch(output_format="clean_json")` then extract.- If you receive a `raw_markdown_url` warning in the response, switch to `web_fetch` instead.
### 6. `web_crawl` — Use When Sub-Page Discovery Is Needed
- Use `web_crawl` when you know a doc site's index URL but do not know which sub-page
  holds the information you need
- Do NOT assume a single `web_fetch` of the index page is sufficient for large doc sites
- Typical workflow: `web_crawl` to discover links → `web_fetch` on the specific sub-page
- Output is capped at `max_chars` (default 10 000) to prevent workspace storage spill.
  Pass a higher value (e.g. `max_chars: 30000`) when crawling many pages.

### 7. `non_robot_search` — Last Resort Only
- Use ONLY when both direct fetch AND proxy rotation have failed
- Intended for: heavy Cloudflare challenges, CAPTCHA, login walls
- Do NOT use as a first attempt for any site — always try automated methods first
- After a successful HITL session, cookies are saved to `~/.cortex-scout/sessions/{domain}.json` — future `web_fetch` calls to that domain are automatically authenticated

---

## Decision Flow Summary

```
Question / research task
        │
        ▼
research_history ──► hit (≥ 0.60)? ──► cache-quality guard:
        │ miss            │  entry_type=="search"? ──► do NOT skip scrape_url
        │                 │  word_count < 50 or placeholder warnings? ──► do NOT skip
        │                 └──► quality OK? ──► use cached result, STOP
        │
        ▼
search_structured ──► enough content? ──► use it, STOP
        │ need deeper page
        ▼
scrape_url (clean_json + strict_relevance + query)
  │ raw .md/.mdx/.rst/.txt URL? ──► HTML pipeline skipped, raw content returned + raw_markdown_url warning
  │
  │ confidence < 0.3 or extraction_score < 0.4?
  ├──► retry with quality_mode: aggressive (CDP rendering)
  │        │ still low? ──► visual_scout ──► human_auth_session (saves session cookies)
  │
  │ need schema-stable JSON?
  ▼
fetch_then_extract (schema + strict=true)
  │ raw_markdown_url warning? ──► switch to scrape_url(clean_json) instead
  │ confidence == 0.0 + placeholder_page? ──► non_robot_search (no repeat prompt needed)
  │
  │ 403/429/blocked?
  ▼
proxy_manager grab ──► retry scrape_url with use_proxy: true
        │ still blocked?
        ▼
non_robot_search  (LAST RESORT — persists session after login)
```

---

## Tool Quick-Reference

| Tool (MCP name) | When to use | When NOT to use |
|---|---|---|
| `research_history` | **First step**, before every search/fetch | — |
| `search_structured` | Initial research (search + content summaries, single call) | When only raw URLs needed |
| `search_web` | Raw URL list only | As substitute for `search_structured` |
| `scrape_url` | Fetching a specific known URL | As primary research step (use `search_structured` instead) |
| `scrape_url` `clean_json` | Documentation / article pages (token-efficient, noise-free) | Raw `.md`/`.txt` files — use `text` or `clean_json` (auto-detected) |
| `scrape_url` `json` | When you need the full structured ScrapeResponse | Large pages without `max_chars` — output will be capped at `max_chars` |
| `crawl_website` | Doc site sub-page link discovery | Single-page fetches |
| `fetch_then_extract` | One-shot fetch + strict schema extraction | When you only need prose; use `scrape_url(clean_json)` instead |
| `extract_structured` | Schema extraction; auto-warns on raw markdown URLs | Raw `.md`/`.json`/`.txt` files — check for `raw_markdown_url` warning |
| `proxy_manager` | After any 403/429/rate-limit error | Proactively without a block signal |
| `visual_scout` | Screenshot a page to check for auth-walls (`auth_risk_score ≥ 0.4`) | General content fetching |
| `human_auth_session` | Full HITL login — persists session cookies for future calls | Before trying `non_robot_search` first |
| `non_robot_search` | CAPTCHA / Cloudflare / login wall (last resort) | Any page automatable via proxy rotation |

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