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46 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Jerrett Davis
|
db7e74187a | fix(learn): surface Codex analysis failures | ||
|
Abhay Singh
|
a24fe7dcbf
|
fix(learn): stop classifying a successful exit code 0 as an error (#2289)
## Description
`is_error_content` classifies successful shell commands as errors,
inflating the failure stats that `headroom learn` reports.
The heuristic flags a tool result as an error when it contains any of a
list of substrings, one of which is the bare `"exit code"`:
```python
indicators = [
..., "timed out", "exit code", "FileNotFoundError",
]
return any(ind in snippet for ind in indicators)
```
But agent harnesses (Codex, Grok, opencode, ...) append `exit code 0` to
the output of every **successful** shell command. `"exit code" in
snippet` is `True` for `exit code 0`, so those successes are counted as
failures.
That is not cosmetic: `is_error_content` sets `ToolCall.is_error`, which
feeds:
- the per-project failure rate the digest shows the LLM
(`_build_digest`: "N failures (X%)"), and
- loop classification (`detect_loops` treats a group as an *error loop*
when ≥ half its calls are errors),
so a project where most shell commands succeed can read as one riddled
with failures, biasing the learned recommendations.
## Fix
Match a **nonzero** exit code instead of the bare substring:
```python
_NONZERO_EXIT_RE = re.compile(r"exit code:?\s*(?!0\b)\d", re.IGNORECASE)
...
if any(ind in snippet for ind in indicators):
return True
return bool(_NONZERO_EXIT_RE.search(snippet))
```
`exit code 0` no longer matches. A nonzero code still does — and, as a
small bonus, the case-insensitive regex now also catches `Exit code: 1`
(colon + capitalized), which the old case-sensitive lowercase substring
missed.
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `headroom/learn/_shared.py`: replace the `"exit code"` substring
indicator with a nonzero-exit-code regex (`_NONZERO_EXIT_RE`) checked
after the other indicators.
- `tests/test_learn/test_integration.py`: new tests that `exit code 0`
is not an error and a nonzero code (any casing / with a colon) still is.
- `CHANGELOG.md`: Bug Fixes entry.
## Testing
- [ ] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [ ] Manual testing performed
### Test Output
```text
$ uvx ruff@0.15.17 check headroom/learn/_shared.py tests/test_learn/test_integration.py
All checks passed!
$ uvx mypy@1.20.2 --ignore-missing-imports headroom/learn/_shared.py
Success: no issues found in 1 source file
```
## Real Behavior Proof
- Environment: Windows 11, Python 3.12, `uvx ruff@0.15.17` / `uvx
mypy@1.20.2`. A full `pytest` OOM-kills this box (ML stack import), so I
reproduced the classifier with a dependency-free script and left the
full pytest to CI.
- Exact command / steps: ran a successful output ending `Process
finished with exit code 0`, plus several nonzero-code failures (`exit
code 1`, `Exit code: 127`, `exit code 137`) and control strings, through
the OLD substring form and the NEW regex form.
- Observed result: OLD flags `exit code 0` as an error; NEW returns
`False` for it, still returns `True` for every nonzero code (including
the colon/capitalized form the old lowercase substring missed), and
leaves the other indicators unchanged.
- Not tested: a full `learn` run over a real history; full local
`pytest` deferred to CI (OOM).
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable
## Additional Notes
The "unit tests pass locally" box is unchecked because the full suite
imports the ML stack, which I can't run here. The new tests live
alongside the existing `is_error_content` false-positive/true-positive
tests in `tests/test_learn/test_integration.py`, so they run under the
normal CI pytest job; behaviour is additionally verified by the
standalone proof above.
---------
Co-authored-by: JerrettDavis <mxjerrett@gmail.com>
|
||
|
Abhay Singh
|
29d8a5e563
|
fix(learn/gemini): stop double-counting session tokens (#2230)
## Description
The Gemini `learn` scanner inflates every session's token totals by
double-counting.
In `_parse_messages` the per-message usage accumulation is:
```python
usage = msg.get("usageMetadata", msg.get("usage", {}))
if isinstance(usage, dict):
total_input_tokens += usage.get("promptTokenCount", 0)
total_input_tokens += usage.get("cachedContentTokenCount", 0)
total_output_tokens += usage.get("candidatesTokenCount", 0)
total_output_tokens += (
usage.get("totalTokenCount", 0) - usage.get("promptTokenCount", 0)
if usage.get("totalTokenCount")
else 0
)
```
Both additions on each side double-count, per Gemini's `usageMetadata`
semantics:
- `cachedContentTokenCount` is the cached **subset** of
`promptTokenCount`, not tokens on top of it. Adding both counts the
cached input twice.
- `totalTokenCount == promptTokenCount + candidatesTokenCount`, so
`totalTokenCount - promptTokenCount` is just `candidatesTokenCount`
again. Adding it on top of `candidatesTokenCount` counts the output
twice.
For a turn with 1000 prompt tokens (300 cached) and 500 output tokens
(`totalTokenCount` 1500), the scanner records input 1300 and output 1000
instead of 1000 / 500 — so both totals are materially inflated for any
Gemini session that carries usage metadata.
## Fix
Count the prompt as input and the candidates as output, once each:
```python
total_input_tokens += usage.get("promptTokenCount", 0)
total_output_tokens += usage.get("candidatesTokenCount", 0)
```
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `headroom/learn/plugins/gemini.py`: drop the `cachedContentTokenCount`
and `totalTokenCount - promptTokenCount` additions in `_parse_messages`.
- `tests/test_learn/test_gemini_scanner.py`: new test asserting the
input/output totals equal `promptTokenCount` / `candidatesTokenCount`.
- `CHANGELOG.md`: Bug Fixes entry.
## Testing
- [ ] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [ ] Manual testing performed
### Test Output
```text
$ uvx ruff@0.15.17 check headroom/learn/plugins/gemini.py tests/test_learn/test_gemini_scanner.py
All checks passed!
$ uvx mypy@1.20.2 --ignore-missing-imports headroom/learn/plugins/gemini.py
Success: no issues found in 1 source file
```
## Real Behavior Proof
- Environment: Windows 11, Python 3.12, `uvx ruff@0.15.17` / `uvx
mypy@1.20.2`. A full `pytest` OOM-kills this box (ML stack import), so I
reproduced the arithmetic with a dependency-free script and left the
full pytest to CI.
- Exact command / steps: fed a usage dict of `promptTokenCount=1000,
cachedContentTokenCount=300, candidatesTokenCount=500,
totalTokenCount=1500` through the OLD accumulation and the NEW one.
- Observed result: OLD → input 1300, output 1000 (cached and candidates
both counted twice); NEW → input 1000, output 500 (the true figures).
- Not tested: a full `learn` run over a real Gemini history; full local
`pytest` deferred to CI (OOM).
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable
## Additional Notes
The "unit tests pass locally" box is unchecked because the full suite
imports the ML stack, which I can't run here. The new test uses the
existing `GeminiScanner` harness in
`tests/test_learn/test_gemini_scanner.py` so it runs under the normal CI
pytest job; behaviour is additionally verified by the standalone proof
above.
---------
Co-authored-by: JerrettDavis <mxjerrett@gmail.com>
|
||
|
Abhay Singh
|
7e83b8da3c
|
fix(learn/gemini): detect the project path for JSONL sessions (#2229)
## Description
The Gemini `learn` plugin can't detect the project path for JSONL
sessions, so it writes its insights to the wrong project.
`discover_projects` globs both `session-*.json` and `session-*.jsonl`
and calls `_detect_project_path`, which reads the file with a single
whole-file `json.load`:
```python
def _detect_project_path(self, session_path: Path) -> Path | None:
try:
with open(session_path, encoding="utf-8", errors="replace") as f:
data = json.load(f)
except (OSError, json.JSONDecodeError):
return None
...
```
A `.jsonl` session is one JSON object per line, so `json.load` on the
whole file raises `json.JSONDecodeError` ("Extra data") on the second
line. The method swallows that and returns `None`, and the caller falls
back to `Path.cwd()`:
```python
project_path = self._detect_project_path(session_files[0])
...
ProjectInfo(
name=project_path.name if project_path else project_dir.name,
project_path=project_path or Path.cwd(), # wrong project
context_file=gemini_md, # None: GEMINI.md never found
...
)
```
So for the JSONL format (Gemini CLI's newer session format — the one
that carries `type: "session_metadata"` records), detection never works:
the learned tool/verbosity insights are attributed to the current
working directory instead of the real project, and the project's
`GEMINI.md` is never located. The sibling `_scan_jsonl_session` already
reads this format line-by-line, and the Claude plugin recovers the
project path from session `cwd` the same way.
## Fix
Route `.jsonl` sessions through a line-by-line reader and share the
field extraction (`projectPath` / `project_path` / `cwd` /
`workingDirectory`) between both formats:
```python
if session_path.suffix == ".jsonl":
return self._detect_project_path_jsonl(session_path)
```
`_detect_project_path_jsonl` parses each line (skipping blanks and
unparseable lines, exactly like `_scan_jsonl_session`) and returns the
first record that yields an existing path. The JSON path is unchanged.
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `headroom/learn/plugins/gemini.py`: dispatch `.jsonl` sessions to a
new line-by-line `_detect_project_path_jsonl`; factor the field
extraction into `_project_path_from_entry` shared by both paths.
- `tests/test_learn/test_gemini_scanner.py`: new test asserting a JSONL
session's `cwd` is recovered.
- `CHANGELOG.md`: Bug Fixes entry.
## Testing
- [ ] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [ ] Manual testing performed
### Test Output
```text
$ uvx ruff@0.15.17 check headroom/learn/plugins/gemini.py tests/test_learn/test_gemini_scanner.py
All checks passed!
$ uvx mypy@1.20.2 --ignore-missing-imports headroom/learn/plugins/gemini.py
Success: no issues found in 1 source file
```
## Real Behavior Proof
- Environment: Windows 11, Python 3.12, `uvx ruff@0.15.17` / `uvx
mypy@1.20.2`. A full `pytest` OOM-kills this box (ML stack import), so I
reproduced the behavior with a dependency-free script mirroring both
detection paths and left the full pytest to CI.
- Exact command / steps: wrote a `.jsonl` session whose first record is
`{"type":"session_metadata","cwd":"<project>"}`, then ran the OLD
whole-file `json.load` reader and the NEW line-by-line reader; also
checked a single-object `.json` session still resolves under both.
- Observed result: OLD returns `None` for the JSONL file (the caller
would fall back to cwd); NEW returns the project path; the `.json` case
resolves identically under both.
- Not tested: a full `learn` run over a real Gemini history; full local
`pytest` deferred to CI (OOM).
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable
## Additional Notes
The "unit tests pass locally" box is unchecked because the full suite
imports the ML stack, which I can't run here. The new test uses the
existing `GeminiScanner` harness in
`tests/test_learn/test_gemini_scanner.py` so it runs under the normal CI
pytest job; behaviour is additionally verified by the standalone proof
above.
---------
Co-authored-by: JerrettDavis <mxjerrett@gmail.com>
|
||
|
Tejas Chopra
|
e0ce4b1d48
|
fix: remove rtk and lean-ctx CLI context tools (#2677)
## Description Removes both third-party CLI context tools — **rtk** and **lean-ctx** — and with them the context-tool selector itself. Headroom no longer downloads, installs or configures either one, and there is no replacement. The previous pass (#2344) gated only three entry points inside `headroom/cli/wrap.py`. That left the feature reachable in practice: | Gap | Effect | |---|---| | `scripts/install.sh:1544`, `install.ps1:1681` | Ran `rtk init --global --auto-patch` from bash/PowerShell, **bypassing the Python gate entirely** — `curl \| sh` still wrote a Claude Code `PreToolUse` hook regardless of `HEADROOM_RTK` | | `wrap.py` `_setup_context_tool_for_agent` | **`wrap openhands` was broken by default**: `rtk_required=True` met a gate returning `None` → `SystemExit(1)`. Invisible because all 8 openhands tests patched `_ensure_rtk_binary` to a fake path | | `proxy/helpers.py`, `subscription/tracker.py` | Proxy shelled out to `rtk gain` from `/stats`, the dashboard and `headroom perf`; the tracker polled it per contribution (`_RTK_WIRING_DEFAULT = "enabled"`) | | No cleanup path | Nothing removed artifacts an earlier default had installed, so a machine that once ran the old default kept rtk in the loop forever (#1669, #1955) | Also worth noting: the rtk binary download had **no SHA or signature verification** — only `rtk --version` as a smoke test. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [x] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [x] Code refactoring (no functional changes) ## Changes Made **Removed** — `headroom/rtk/` and `headroom/lean_ctx/` packages, `headroom/cli/wrap_rtk_metrics.py`, `_selected_context_tool` / `_setup_context_tool_for_agent` / `_VALID_CONTEXT_TOOLS`, the `--rtk` / `--no-rtk` / `--no-project-rtk` / `--keep-rtk` flags across all 18 wrap subcommands, `HEADROOM_RTK*`, the proxy-side `rtk gain` polling, the dashboard CLI-filtering panel (rows + all 8 `cliFiltering*` Alpine getters), `paths.rtk_path()` / `lean_ctx_path()`, the SDK path helpers, `benchmarks/rtk_loop_learn_eval.py`, and the `headroom/rtk/**` CI path filters. **Fails loudly, not silently** — `--context-tool` / `--no-context-tool` / `HEADROOM_CONTEXT_TOOL` are kept solely to error out. They live in shell profiles, aliases and CI jobs, and accepting them as a no-op would read as Headroom having quietly stopped working. The installers reject them too, which matters more than it looks: their arg parsers forward the first unknown flag **and everything after it** to the wrapped tool, so a leftover `--no-rtk` would have silently swallowed a following `--port` and then been ignored downstream. **New `headroom/context_tool_cleanup.py`** — deleting the code cannot help a machine that already ran the old default, since the hooks, binaries and injected guidance are durable on disk. `purge_context_tool_artifacts()` runs once per `wrap`/`unwrap` and removes the registered hook entries, the generated hook scripts, the Headroom-managed `~/.local/bin` symlinks, the vendored `~/.headroom/bin/{rtk,lean-ctx}` binaries, the `lean-ctx` MCP server entry and the marker-fenced instruction blocks. Deliberately conservative: idempotent, **skips** a malformed config rather than overwriting it, and only unlinks a symlink resolving inside Headroom's own bin dir so a user's own build is untouched. It reports on **stderr**, because `wrap/unwrap openclaw --prepare-only` emit machine-readable JSON on stdout as their entire contract. Skipped for `wrap selfheal` (runs from a SessionStart hook; must not race Claude Code's writer for `~/.claude.json`) and for `--help`, which must stay read-only. **Client-config hardening** (discovered while investigating a "corrupted Serena settings file" report) — `wrap.py` reset a settings file to `{}` when an existing file would not parse, then wrote that back. One hand-edited typo or a transient `EACCES`/`EINTR` on a valid file destroyed the user's `permissions`, `env` and `hooks`, on **every `headroom wrap claude`**. It now refuses to write. Separately, `fsutil.write_text` is now atomic (temp file + `fsync` + `os.replace`), fixing all 14 non-atomic client-config writes at once; it follows symlinks rather than replacing them (dotfile managers) and preserves an existing file's mode. **Deliberately kept** — `rtk` stays in the wrapper-peel list in `transforms/content_router.py`. It sits beside `sudo`/`env`/`timeout` as shell-command grammar, so `rtk cat f` is still classified as a file read for anyone running their own rtk install, which the purge intentionally leaves alone. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ ruff check headroom/ tests/ e2e/ --exclude headroom/dashboard/templates All checks passed! $ ruff format --check headroom/ tests/ e2e/ --exclude headroom/dashboard/templates 1255 files already formatted $ mypy headroom/ Success: no issues found in 508 source files $ pytest tests/test_context_tool_cleanup.py -q 11 passed $ pytest tests/test_fsutil.py -q 12 passed $ pytest tests/test_cli/test_wrap_codex.py -q # 89 tests 89 passed in 431.68s $ pytest tests/test_cli/test_wrap_opencode.py -q 39 passed in 257.46s $ pytest tests/test_cli/test_wrap_helpers.py -q 45 passed $ pytest tests/test_paths.py -q 75 passed $ pytest tests/test_cli/test_unwrap_claude.py -q 14 passed $ pytest tests/test_proxy_savings_history.py -q 39 passed $ pytest tests/test_cli/test_wrap_copilot.py -q 27 passed $ pytest tests/test_cli/test_wrap_zcode.py -q 20 passed $ pytest tests/test_subscription_tracker.py -q 9 passed $ pytest tests/test_proxy_dashboard_stats_cache.py -q 5 passed, 1 skipped ``` Repo-wide grep for 14 removed symbols (`headroom.rtk`, `headroom.lean_ctx`, `_ensure_rtk_binary`, `_selected_context_tool`, `_get_context_tool_stats`, `rtk_path`, `lean_ctx_path`, `wrap_rtk_metrics`, `HEADROOM_RTK`, `cli_tokens_avoided`, `tokens_saved_rtk`, …) across `*.py`, `*.ts`, `*.sh`, `*.ps1`, `*.yml`, `*.html`: **zero hits**. Notable test changes: `test_wrap_openhands.py` no longer patches `_ensure_rtk_binary` and asserts `wrap openhands --prepare-only` exits 0 unpatched — the regression that was previously masked. `test_wrap_continue.py` and `test_wrap_hintfile_agents.py` were removed (every test drove RTK instruction injection). A new `test_subscription_tracker.py::test_load_state_written_before_cli_context_tools_were_removed` proves a pre-removal `subscription_state.json` still loads. ## Real Behavior Proof - **Environment:** macOS 15.4 (darwin 25.4.0), Python 3.12.6, Headroom @ this branch, real `~/.headroom` and `~/.claude` on the dev machine. - **Exact command / steps and observed result:** ```text # 1. Retired flag fails loudly instead of silently no-op'ing $ headroom wrap codex --prepare-only --context-tool rtk Error: CLI context tools (rtk, lean-ctx) have been removed from Headroom: they rewrote shell commands through a third-party binary Headroom no longer manages. Drop --context-tool / --no-context-tool and unset HEADROOM_CONTEXT_TOOL; `headroom wrap` uninstalls what they left behind on first run. $ HEADROOM_CONTEXT_TOOL=lean-ctx headroom wrap codex --prepare-only Error: CLI context tools (rtk, lean-ctx) have been removed from Headroom: ... # 2. install.sh rejects the retired flags (extracted parse_wrap_args harness) ['--no-rtk', '--port', '9999'] rc=1 ERROR: CLI context tools ... Drop --no-rtk ['--context-tool=rtk'] rc=1 ERROR: CLI context tools ... Drop --context-tool $ bash -n scripts/install.sh # syntax OK # 3. Purge ran against the real machine, which had all the orphaned artifacts $ python -c "from headroom.context_tool_cleanup import purge_context_tool_artifacts; ..." removed ~/.headroom/bin/lean-ctx (51 MB) removed ~/.headroom/bin/rtk (7.7 MB) removed ~/.local/bin/rtk (symlink into ~/.headroom/bin) removed ~/.claude/hooks/rtk-rewrite.sh removed 8 lean-ctx-* hook scripts # ~/.claude.json afterwards: 90 top-level keys, 19 projects, mcpServers unchanged # → ~59 MB reclaimed, no unrelated key touched # 4. stdout stays machine-readable while the purge reports (planted a fake artifact) $ headroom wrap openclaw --prepare-only --gateway-provider-id codex >out 2>err $ cat out {"enabled":true,"config":{"proxyPort":8787,...}} # parses as JSON $ cat err Retired CLI context tool cleanup: removed /Users/tcms/.headroom/bin/rtk # 5. --help is inert (planted artifact survives), a real run purges $ headroom wrap codex --help → artifact survived: CORRECT $ headroom wrap openclaw --prepare-only → purged: CORRECT # 6. MCP purge dry-run against a copy of the real 82 KB ~/.claude.json top-level keys 90 -> 90; projects 19 -> 19; LOST keys: none all content outside mcpServers byte-identical: True ``` Dashboard rendered via the Playwright test after the panel removal: "Token Savings" shows only `Proxy 0 (0.0%)` / `Of total wire: 36.86%`, and "Token Usage" reads Before Compression → Proxy Removed → After Compression with no "Filtered (this session)" row. Nothing below the removed panel broke. - **Not tested:** Windows and Linux (macOS only) — `install.ps1` is verified by brace-balance and inspection, not executed, since no `pwsh` is available locally. The wrap e2e suite (`e2e/wrap/run.py`) was updated but not run; it needs the Docker e2e image. `serena project index` interaction is exercised in the stacked base PR. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I did **not** edit `CHANGELOG.md` — it is generated by release-please from my Conventional Commit PR title (a CI guard enforces this) ## Additional Notes **Stacked on #2676** (`tejas/serena-config-bootstrap`) — please merge that first; this PR's base should then be retargeted to `main`, or it will read as containing that fix too. **Breaking-change migration for users:** - Drop `--rtk`, `--no-rtk`, `--no-project-rtk`, `--keep-rtk`, `--context-tool`, `--no-context-tool` from any alias, script or CI job, and unset `HEADROOM_RTK*` / `HEADROOM_CONTEXT_TOOL`. They now error rather than being ignored, so the failure is immediate and self-explaining. - Previously-installed artifacts are purged automatically on the next `wrap`/`unwrap`; no manual cleanup needed. - `headroom perf --json` no longer carries a `cli_filtering` key, and `/stats` no longer returns a `context_tool` section. **Docs:** `docs/rtk-architecture.md` deleted; RTK/lean-ctx removed from `README.md`, `docs/content/docs/{configuration,opencode,grok-build,docker-install,filesystem-contract}.mdx`, `docs/observability.md` and the matching `wiki/` pages. `REALIGNMENT/09-phase-G-rtk-observability.md` is marked SUPERSEDED rather than deleted, to keep the planning record. **Follow-ups not in scope:** `_emit_wrap_interrupted` was deleted as dead code — its only caller was the `except KeyboardInterrupt` guarding the binary download, so with no download there is nothing slow left to interrupt. |
||
|
TenderDeve
|
85e8699451
|
fix(learn): keep traceback tail in tool-error digest preview (#2596)
## Description `_format_tool_call` in `headroom/learn/analyzer.py` built the error preview with a head-only slice — `tc.output[:200]`. For tracebacks the root cause (`ExceptionType: message`) is at the **tail**, so the digest showed only `Traceback (most recent call last):` plus the first frame and dropped the actual diagnosis. The issue reports 46% of 715 measured errors were truncated past the 200-char head. Closes #2590 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) ## Changes Made - Added `_truncate_head_tail()` helper that collapses newlines and, when over budget, keeps both the head and the tail joined by `…`. - `_format_tool_call` now uses it for error output so the exception line survives truncation. Short errors are returned unchanged (no marker). ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality ### Test Output ```text $ uv run pytest tests/test_learn/test_analyzer.py::TestDigestBuilder -q 9 passed in 1.47s $ uv run ruff check headroom/learn/analyzer.py tests/test_learn/test_analyzer.py All checks passed! ``` ## Real Behavior Proof - Environment: headroom @ main, Python 3.14, uv - Exact command / steps: added a long synthetic traceback (`KeyError: 'the-actual-root-cause'` at the tail) as a failing tool call and built the digest. - Observed result: digest now contains both `Traceback` and `KeyError: 'the-actual-root-cause'`, separated by `…`; short errors have no `…`. - Not tested: mypy not run locally. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective - [x] New and existing unit tests pass locally with my changes - [x] I did **not** edit `CHANGELOG.md` ## Additional Notes Truncation budget stays at 200 chars (now split head/tail). mypy not run locally; happy to adjust if CI flags anything. |
||
|
Rod Boev
|
f74d874777
|
fix(learn): detect the active OpenCode database (#2587)
## Description `headroom learn --agent opencode` can silently mine a frozen conversation corpus. `OpenCodePlugin` hardcodes `~/.local/share/opencode/opencode.db`, but source-built OpenCode writes `opencode-local.db` in the same directory. When both files exist, learn still succeeds against the stale packaged DB and ignores the live source-built corpus. This follows the report in https://github.com/headroomlabs-ai/headroom/issues/2581 and builds on the existing OpenCode learn path introduced in https://github.com/headroomlabs-ai/headroom/pull/559. This change keeps explicit constructor paths authoritative, honors `HEADROOM_OPENCODE_DB` when it is set, and otherwise selects the newest existing database between `opencode.db` and `opencode-local.db`, preferring canonical `opencode.db` on exact ties. It also updates the OpenCode learn docs line so the documented behavior matches the landed resolver. Closes #2581. The branch also carries one narrow CI repair requested during review: `headroom/cli/wrap.py` now binds the `unwrap claude` Click command back to `unwrap_claude` instead of the leak-warning helper, which restores the existing unwrap test surface and leaves the helper as an internal warning function. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - add a private OpenCode DB resolver in `headroom/learn/plugins/opencode.py` with precedence `db_path` then `HEADROOM_OPENCODE_DB` then newest existing default filename then canonical fallback - preserve canonical `opencode.db` for exact mtime ties and for canonical-only installs - add focused regression coverage for newer-local, explicit-path, canonical-only, equal-tie, missing-override, and end-to-end scanning cases - sync the OpenCode learn docs paragraph so it no longer claims `opencode.db` is the only supported default path - restore the `unwrap claude` Click command binding in `headroom/cli/wrap.py` and apply the repo formatter so the branch passes the existing unwrap test and lint gates ## Testing - [x] Unit tests pass (`uv run pytest tests/test_learn/test_opencode_scanner.py -q`) - [x] Linting passes (`uv run ruff check headroom/learn/plugins/opencode.py tests/test_learn/test_opencode_scanner.py`) - [x] Type checking passes (`uv run mypy headroom/learn/plugins/opencode.py`) - [x] New tests added for new functionality when applicable - [x] Manual testing performed ### Test Output ```text uv run pytest tests/test_learn/test_opencode_scanner.py -q -k "newer_local_database" 1 passed, 9 deselected in 0.26s uv run pytest tests/test_learn/test_opencode_scanner.py -q 10 passed in 0.50s uv run ruff check headroom/learn/plugins/opencode.py tests/test_learn/test_opencode_scanner.py All checks passed! uv run ruff format headroom/learn/plugins/opencode.py tests/test_learn/test_opencode_scanner.py --check 2 files already formatted uv run mypy headroom/learn/plugins/opencode.py Success: no issues found in 1 source file rg -n "opencode-local\.db|HEADROOM_OPENCODE_DB|opencode\.db" docs/content/docs/opencode.mdx 78:`headroom learn` supports OpenCode as a scan target. It reads past sessions from the newer of `~/.local/share/opencode/opencode-local.db` and `~/.local/share/opencode/opencode.db`, or from `HEADROOM_OPENCODE_DB` when you set an explicit override, and writes corrections to your project's `AGENTS.md`. uv run pytest tests/test_cli/test_unwrap_claude.py -q -k "removes_mcp_rtk_and_stops_proxy or preserves_user_managed_serena or removes_headroom_installed_serena or keep_flags_skip_cleanup or restores_all_base_url_modes or stops_claude_owned_persistent_deployment or reports_ambiguous_same_port_persistent_deployment or warns_about_same_port_inherited_env or ignores_malformed_inherited_env_port" 9 passed, 5 deselected in 0.40s uv run ruff check . All checks passed! uv run ruff format --check . 1340 files already formatted ``` ## Real Behavior Proof - Environment: temporary SQLite databases exercised through the production `OpenCodePlugin()` constructor - Exact command / steps: run `uv run pytest tests/test_learn/test_opencode_scanner.py -q -k "newer_local_database"` against `origin/main` with the new regression test overlaid, then run the same command and the full `uv run pytest tests/test_learn/test_opencode_scanner.py -q` suite on the branch head - Observed result: the base reproduction fails with `AssertionError: assert 'Canonical' == 'Local'`, proving current main still selects the stale canonical DB; the branch head passes the reproduction row and the full 10-test scanner suite - Not tested: live user OpenCode corpus ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [ ] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md if applicable ## Additional Notes - `CHANGELOG.md` stays untouched because Headroom generates release notes from conventional commits. - The automatic chooser is intentionally limited to the two known default filenames, `opencode.db` and `opencode-local.db`. Other layouts can use `HEADROOM_OPENCODE_DB`. - The fix stays inside `headroom/learn/plugins/opencode.py`; no provider-neutral learn or pipeline code changes are planned. |
||
|
Parideboy
|
a09ba6c087
|
fix(learn): treat unreadable candidate paths as absent in project decode (#2446)
## Description `headroom learn` crashes with an uncaught `PermissionError` when the current user's username contains a dash. `_decode_project_path` (in `headroom/learn/plugins/claude.py`) probes speculative candidate paths when reconstructing an original filesystem path from a Claude Code encoded project directory name. When the username is e.g. `marco-rocha`, one candidate becomes `/home/marco/rocha`, which can collide with another user's home directory whose parent isn't stat-able. `Path.exists()` calls `os.stat` internally, raising `PermissionError` instead of returning `False`, so the whole `learn` command crashes before returning any recommendations. Fixes #2443 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - Add `_path_exists()` to `headroom/learn/plugins/claude.py` — a thin wrapper around `Path.exists()` that returns `False` on any `OSError` (including `PermissionError`), mirroring the existing `OSError` handling already used in `_greedy_path_decode`. - Route every speculative candidate-path existence check in the decode path through `_path_exists()`: the Windows drive/path probes in `_decode_windows_path`, the `simple` POSIX candidate and greedy-branch bases in `_decode_project_path`/`_greedy_path_decode`, and the decoded `project_path`/`CLAUDE.md` checks in `discover_projects`. - Add regression tests covering the exact issue shape (`PermissionError` on `/home/marco/rocha`) and the `_path_exists` helper directly. - Leave `CHANGELOG.md` untouched — release-please generates it from conventional commits. ## Testing - [x] Unit tests pass (`python -m pytest tests/test_learn/test_scanner.py::TestDecodePermissionError -q`) - [x] Linting passes (`ruff check`, `ruff format --check` on the two changed files) - [x] New tests added for new functionality ### Test Output ```text $ python -m pytest tests/test_learn/test_scanner.py::TestDecodePermissionError -q collected 2 items tests\test_learn\test_scanner.py .. [100%] 2 passed in 1.86s $ ruff check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py All checks passed! ``` ## Real Behavior Proof - Environment: Windows 11, Python 3.13, local dev checkout of headroom on branch off upstream/main - Exact command / steps: Simulated the issue by monkeypatching `Path.exists` to raise `PermissionError` for the colliding candidate `/home/marco/rocha`, then calling `_decode_project_path("-home-marco-rocha-butterfly-sylphina")` - Observed result: Before the fix the call propagates `PermissionError` (crash, matching the reported traceback); after the fix it returns without raising and the unreadable candidate is treated as non-existent. Both regression tests pass. - Not tested: End-to-end `headroom learn --apply` on a real Linux multi-user box with an actually unreadable `/home/<prefix>` — reproduced via the documented minimal logic instead. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
||
|
Abhay Singh
|
eed80dd4ba
|
fix(learn/claude): don't abort the whole scan on a null message line (#2299)
## Description
A single Claude session-log line with an explicit `{"message": null}`
crashes the entire `headroom learn` run.
`ClaudeCodePlugin._scan_session` reads the message object in four
places:
```python
usage = d.get("message", {}).get("usage", {}) # assistant line
...
msg = d.get("message", {}) # _extract_tool_uses
msg = d.get("message", {}) # _extract_tool_results
msg = d.get("message", {}) # _extract_user_events
```
`dict.get("message", {})` only substitutes `{}` for a **missing** key. A
present-but-null `{"type": "assistant", "message": null}` yields `None`,
and `None.get(...)` raises `AttributeError`.
The per-file guard only catches I/O errors:
```python
try:
with open(jsonl_path, ...) as f:
for line in f:
...
except (OSError, UnicodeDecodeError) as e:
...
return None
```
so the `AttributeError` propagates out of `_scan_session`, past
`scan_project` (which has no try/except around the scan), and aborts the
whole `learn` invocation — every project, not just the one bad line. One
malformed line takes down the entire run.
## Fix
Coalesce the message with `or {}` at all four sites, so a null (or any
falsy) value collapses to `{}`:
```python
usage = (d.get("message") or {}).get("usage", {})
msg = d.get("message") or {}
```
The malformed line is now skipped and scanning continues; valid lines
are parsed exactly as before.
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- `headroom/learn/plugins/claude.py`: coalesce `d.get("message")` with
`or {}` in `_scan_session` and the three `_extract_*` helpers.
- `tests/test_learn/test_subagent_scanning.py`: new test that a session
containing `{"message": null}` lines scans without crashing and still
parses the valid tool call.
- `CHANGELOG.md`: Bug Fixes entry.
## Testing
- [ ] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [ ] Manual testing performed
### Test Output
```text
$ uvx ruff@0.15.17 check headroom/learn/plugins/claude.py tests/test_learn/test_subagent_scanning.py
All checks passed!
$ uvx mypy@1.20.2 --ignore-missing-imports headroom/learn/plugins/claude.py
Success: no issues found in 1 source file
```
## Real Behavior Proof
- Environment: Windows 11, Python 3.12, `uvx ruff@0.15.17` / `uvx
mypy@1.20.2`. A full `pytest` OOM-kills this box (ML stack import), so I
reproduced the per-line handling with a dependency-free script and left
the full pytest to CI.
- Exact command / steps: ran an assistant line `{"message": null}` (plus
a real assistant line and a missing-message line) through the OLD
`get("message", {})` and NEW `get("message") or {}` logic.
- Observed result: OLD raises `AttributeError` on the null message; NEW
returns `0` for it and still counts `42` input tokens for the real line
and `0` for a missing-message line.
- Not tested: a full `learn` run over a real history containing such a
line; full local `pytest` deferred to CI (OOM).
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable
## Additional Notes
The "unit tests pass locally" box is unchecked because the full suite
imports the ML stack, which I can't run here. The new test reuses the
existing `ClaudeCodePlugin` scanner harness in
`tests/test_learn/test_subagent_scanning.py`, so it runs under the
normal CI pytest job; behaviour is additionally verified by the
standalone proof above.
---------
Co-authored-by: Tejas Chopra <chopratejas@gmail.com>
|
||
|
Abhay Singh
|
c7b5a24b4f
|
fix(learn): don't shadow TIMEOUT/CONNECTION with the generic RUNTIME_ERROR (#2099)
## Description `classify_error` (used by `headroom learn` to categorize failed tool calls) miscategorizes timeouts and connection failures as generic runtime errors. The pattern list is checked in order, first match wins, and it puts the generic catch-all *before* the specific categories: ```python (re.compile(r"Traceback \(most recent|Exception:|Error:", re.I), ErrorCategory.RUNTIME_ERROR), (re.compile(r"timed? ?out|TimeoutError|deadline exceeded", re.I), ErrorCategory.TIMEOUT), ... (re.compile(r"ConnectionError|ConnectionRefused|ECONNREFUSED|network", re.I), ErrorCategory.CONNECTION_ERROR), ``` Every Python exception repr is `XxxError: ...` (or `Exception: ...`), so the generic `Error:`/`Exception:` pattern matches first. A tool result of `"TimeoutError: timed out after 30s"` is classified `RUNTIME_ERROR` instead of `TIMEOUT`; `"ConnectionError: [Errno 111] Connection refused"` is classified `RUNTIME_ERROR` instead of `CONNECTION_ERROR`. The dedicated `TIMEOUT` and `CONNECTION_ERROR` categories — which explicitly list `TimeoutError` and `ConnectionError` — are therefore unreachable for the most common (colon-repr) message shape; they only fire for tokenless phrasings like `deadline exceeded`. That mislabels the learn digest's per-category error stats. ## Fix Check the two specific categories (`TIMEOUT`, `CONNECTION_ERROR`) before the generic `RUNTIME_ERROR` catch-all. A generic exception repr with no timeout/connection token still classifies as `RUNTIME_ERROR`, so existing behavior for those is unchanged (including the opencode scanner's `"Error: command failed with exit code 1"` → `RUNTIME_ERROR`). Closes # ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `headroom/learn/_shared.py`: move the `TIMEOUT` and `CONNECTION_ERROR` patterns above the generic `RUNTIME_ERROR` pattern, with a comment explaining the ordering. - `tests/test_learn/test_error_classification.py`: new tests asserting `TimeoutError:`/`ConnectionError:` reprs classify specifically, a generic `Error:` stays `RUNTIME_ERROR`, and non-error text is `UNKNOWN`. - `CHANGELOG.md`: Bug Fixes entry. ## Testing - [ ] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [ ] Manual testing performed ### Test Output ```text $ uvx ruff@0.15.17 check headroom/learn/_shared.py tests/test_learn/test_error_classification.py All checks passed! $ python -m py_compile headroom/learn/_shared.py tests/test_learn/test_error_classification.py OK ``` ## Real Behavior Proof - Environment: Windows 11, Python 3.12, `uvx ruff@0.15.17`. Importing `headroom` pulls in the torch/transformers stack and a full `pytest` gets OOM-killed on this box, so I verified the ordering with a dependency-free script that replicates the pattern list under both the old and new orderings, and left the full pytest to CI. - Exact command / steps: classified `"ConnectionError: [Errno 111] Connection refused"` and `"TimeoutError: timed out after 30s"` under the old order (RUNTIME before TIMEOUT/CONNECTION) and the new order (TIMEOUT/CONNECTION before RUNTIME), plus the opencode scanner's `"Error: command failed with exit code 1"` as a regression guard. - Observed result: old order classifies both as `RUNTIME_ERROR`; new order classifies them as `CONNECTION_ERROR` and `TIMEOUT` respectively; the guard string stays `RUNTIME_ERROR` under both orderings, so the existing opencode scanner test is unaffected. - Not tested: a full `headroom learn` digest run; full local `pytest` deferred to CI (OOM, per above). ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [ ] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [x] I have updated the CHANGELOG.md if applicable ## Additional Notes The "unit tests pass locally" and "type checking" boxes are unchecked because the full suite imports the ML stack, which I can't run in this environment; the change is a reordering of two entries in a pure pattern list, verified by the standalone proof (which also confirms the one existing test that touches this path stays green) and the new regression tests for CI. Co-authored-by: Tejas Chopra <chopratejas@gmail.com> |
||
|
Fabien Culpo
|
d2170b1922
|
fix(learn): parse fenced JSON even with a prose preamble (#1988)
## Description `_strip_fenced_json` only stripped a markdown fence when the string *started with* ```` ``` ````. When the model prefixed prose before the fence (e.g. `Here is the JSON:\n\n```json ...`) despite being told to return JSON only, the guard was skipped and `json.loads` ran on the prose, raising `JSONDecodeError`. The claude-cli streaming path surfaced this as `returned unparseable output`, and `headroom learn` silently discarded the LLM analysis, degrading to "No actionable patterns found". This is the parsing-side cousin of the silent-degradation issue fixed in #373. Closes #1989. Related: #373. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `headroom/learn/analyzer.py`: rewrote `_strip_fenced_json` to locate the fenced block wherever it appears, then fall back to the whole text, then to a first-`{` / last-`}` slice, only re-raising `JSONDecodeError` if nothing parses as a JSON object. Preserves the prior "first opening / last closing fence" behaviour and triple-backtick content inside the payload. Fixes all three call sites (non-streaming CLI, claude-cli streaming, litellm). - `tests/test_learn/test_analyzer.py`: added regression cases to `TestStripFencedJson` for preamble-before-fence, prose around a bare object, and triple-backticks inside the payload. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) — scoped to the changed module (see Additional Notes) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/test_analyzer.py -q ........................................................................ [ 86%] ........... [100%] 83 passed, 1 warning in 2.18s $ ruff check headroom/learn/analyzer.py tests/test_learn/test_analyzer.py All checks passed! $ ruff format --check headroom/learn/analyzer.py tests/test_learn/test_analyzer.py 2 files already formatted $ mypy --ignore-missing-imports --follow-imports=silent headroom/learn/analyzer.py Success: no issues found in 1 source file ``` ## Real Behavior Proof - Environment: macOS, Python 3.13.12, headroom-ai at this branch (runtime deps from an installed 0.30.0 env). - Exact command / steps: ran the old vs new `_strip_fenced_json` on the exact failing model output (a prose preamble followed by a ```json fence), then applied the fix over an installed 0.30.0 and re-ran the previously failing `headroom learn --apply`. Input sample: `'The JSON is my deliverable for this analysis task. Here it is:\n\n```json\n{"context_file_rules": [], "memory_file_rules": []}\n```'` - Observed result: OLD raised `JSONDecodeError: Expecting value: line 1 column 1 (char 0)`; NEW returned `{'context_file_rules': [], 'memory_file_rules': []}`. The real `headroom learn --apply` run that had been failing with `returned unparseable output` then completed and consumed the LLM analysis instead of dropping it. Full transcript: ```text OLD: JSONDecodeError -> Expecting value: line 1 column 1 (char 0) NEW: {'context_file_rules': [], 'memory_file_rules': []} ``` - Not tested: full end-to-end `headroom learn --apply` was not re-run inside CI here (it shells out to a live `claude` CLI); the parser is exercised deterministically by the added unit tests and the before/after repro above. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [ ] I have made corresponding changes to the documentation (N/A — updated the function docstring only; no external docs affected) - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md if applicable (N/A — no CHANGELOG entry convention observed for this fix; happy to add if maintainers prefer) ## Additional Notes - `mypy` was run against the changed module in isolation (`--ignore-missing-imports --follow-imports=silent`) rather than the full project, because I validated in an ad-hoc environment; the change keeps the existing `-> dict` signature and annotations, so it is type-neutral. - Not addressed here (possible follow-up): the failure is swallowed as a warning in `analyze()`, so users only see "No actionable patterns found" with no signal the LLM pass produced nothing — the same silent-degradation class as #373, on the parsing side. |
||
|
Rod Boev
|
e3b45e402b
|
fix(learn): handle Windows UTF-8, drive-letter paths, and CLI shim fallback (#1895)
## Description `headroom learn --verbosity` is broken on Windows in three related ways: - Transcript/profile reads can use the platform default codec, so non-ASCII content can raise `UnicodeDecodeError` and collapse learning signals to empty output. - `--project <path>` can miss real Claude project directories because Windows profile junctions can raise `PermissionError` during directory walks, and escaped Claude project folder names cannot always distinguish `vibe-remote` from `vibe\remote`. - `headroom learn --agent codex` can fail with `` `claude` not found in PATH `` even when the npm-installed CLI exists, because Windows `.cmd` shims require `PATHEXT` resolution. Refs https://github.com/headroomlabs-ai/headroom/issues/1624 for the Windows learn failures. The dashboard-hint UX and third-party-provider-auth items in that issue are unrelated and out of scope for this PR. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `headroom/learn/verbosity.py`: read and write verbosity transcripts/profiles with `encoding="utf-8"` so non-ASCII content works regardless of the Windows locale codec. - `headroom/learn/plugins/claude.py`: skip inaccessible siblings one entry at a time during greedy project path decoding, so one Windows junction no longer hides valid project directories. - `headroom/learn/plugins/claude.py`: prefer a valid `cwd` found in Claude session JSONL when discovering project paths, which resolves ambiguous escaped folder names such as `vibe-remote` versus `vibe\remote`. - `headroom/learn/analyzer.py`: resolve Windows CLI shim paths through `shutil.which()` after `FileNotFoundError`, then retry once for streaming and non-streaming CLI calls. - `CHANGELOG.md`: document the Windows learn fixes under `Unreleased`. ## Testing - [x] Unit tests pass (`uv run pytest tests/test_verbosity_learn.py::TestWindowsEncoding tests/test_learn/test_scanner.py::TestGreedyPathDecode::test_permission_denied_sibling_does_not_abort_the_walk tests/test_learn/test_analyzer.py::TestWindowsCliShimFallback tests/test_learn/test_scanner.py::TestDecodeProjectPath::test_discover_project_prefers_session_cwd_over_ambiguous_folder_name -q`) - [x] Linting passes (`uv run ruff check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py`) - [x] Formatting passes (`uv run ruff format --check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py`) - [ ] Type checking passes (`uv run mypy headroom`) not run; no new public type surface - [x] New tests added for the Windows `cwd` disambiguation regression - [x] Manual testing performed ### Test Output ```text uv run ruff format headroom/learn/plugins/claude.py 1 file reformatted uv run ruff check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py All checks passed! uv run ruff format --check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py 2 files already formatted uv run pytest tests/test_verbosity_learn.py::TestWindowsEncoding tests/test_learn/test_scanner.py::TestGreedyPathDecode::test_permission_denied_sibling_does_not_abort_the_walk tests/test_learn/test_analyzer.py::TestWindowsCliShimFallback tests/test_learn/test_scanner.py::TestDecodeProjectPath::test_discover_project_prefers_session_cwd_over_ambiguous_folder_name -q 9 passed in 0.25s ``` CI on current head ` |
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|
Parideboy
|
4f22cbb05c
|
fix(learn): decode Windows drive-style project dirs with dotted usernames (#1855)
## Description Fixes #1849. On Windows, `headroom learn --all --apply` failed to write recommendations for every project when the username contains a dot (e.g. `pradipe.yoggi`), reporting `[WinError 161] The specified path is invalid: '\\\Users\...'`. Root cause: Claude Code encodes `C:\Users\first.last\proj` as `C--Users-first-last-proj` — **no leading dash** (the path starts with the drive letter), and `:` + `\` each collapse to `-`, producing a double dash after the drive letter. Two defects followed: 1. `_decode_project_path()` required `escaped_name.startswith("-")` and returned `None` for every real Windows encoding, so the greedy filesystem-walking decoder (which correctly rejoins dotted components like `first.last`) was unreachable. 2. The `discover_projects()` fallback blindly stripped the first character (`entry.name[1:]`), turning `C--Users-...` into `--Users-...`, whose dash→slash replacement yields the invalid `\\\Users\first\last\proj` seen in the issue. ## Type of Change - [x] Bug fix (non-breaking change which fixes an issue) - [ ] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [ ] Documentation update - [ ] Refactoring (no functional changes) ## Changes Made - `headroom/learn/plugins/claude.py` - New `_decode_windows_path(drive, parts)` helper: drops empty split tokens (so separators are never doubled), checks the literal path, greedy-decodes from the drive root (so `Users` → `first.last` is rejoined from the real filesystem via the existing `_component_tokenizations` dot-split), and keeps the trust-`Users` literal fallback. - `_decode_project_path()` now matches both the real drive-style encoding `C--Users-...` (no leading dash) and the legacy `-C-Users-...` form via `^-?([A-Za-z])--?(.+)$`, routing both through the helper; POSIX logic unchanged. - `discover_projects()` fallback applies the same normalization instead of stripping the first character, so nonexistent projects still get a *valid* `C:\Users\...` path instead of `\\\Users\...`. - `tests/test_learn/test_scanner.py`: three new tests — double-dash encoding decodes without doubled separators; dotted username rejoined via greedy decode on a real directory tree (Windows-only); `discover_projects` fallback produces a valid path for a nonexistent `C--Users-...` project. ## Testing - [x] Existing tests pass locally - [x] Added new tests covering the change ``` $ python -m pytest tests/test_learn -q 3 failed, 211 passed, 5 skipped in 7.22s # The 3 failures (test_home_dir_username_stays_single_component, # test_includes_project_info, test_double_write_replaces_not_appends) are # pre-existing Windows-local failures, verified identical on a clean # upstream/main checkout via git stash — none introduced by this change. $ ruff check headroom/learn/plugins/claude.py tests/test_learn/test_scanner.py && ruff format --check ... All checks passed! $ mypy headroom --ignore-missing-imports Success: no issues found ``` ## Real Behavior Proof - Environment: Windows 11 Pro, PowerShell, Python 3.14, headroom built from this branch (Rust core built locally) - Exact command / steps: `python -c "from headroom.learn.plugins.claude import _decode_project_path as d; print(d('G--Programmi-Aggiuntivi-headroom')); print(d('C--Users-esiri-AppData-Local-Temp'))"` — decoding this machine's own real `~/.claude/projects` directory names (which use the drive-style encoding this PR fixes; note `Programmi Aggiuntivi` contains a space, exercising the greedy multi-token rejoin just like a dotted username) - Observed result: `G:\Programmi Aggiuntivi\headroom` and `C:\Users\esiri\AppData\Local\Temp` — both correct real paths. On upstream/main the same call returns `None` for both, which is what pushed `learn --all` into the mangling fallback. - Not tested: an actual Active Directory `first.last` account end-to-end (no such account available); covered instead by the Windows-only greedy-decode test against a real `john.doe` directory tree and by the space-in-path live decode above, which exercises the identical code path. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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Manmit Singh
|
c600e314b3
|
fix(learn): honor CLAUDE_CONFIG_DIR when locating Claude logs and memory (#1642)
## Description `headroom learn` ignored `CLAUDE_CONFIG_DIR`. `ClaudeCodePlugin.__init__` resolved the Claude config directory as `~/.claude`, and the memory writer wrote the global `CLAUDE.md` to `~/.claude/CLAUDE.md`. A user who relocates their Claude config with that env var had `learn` scan the wrong directory and detect no projects. Other parts of the codebase already honor the override (`subscription/client.py`, `subscription/session_tracking.py`, `mcp_registry/claude.py`); the `learn` path was the outlier. Closes #1630 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) ## Changes Made - Add `claude_config_dir()` to `headroom/learn/_shared.py` — returns `$CLAUDE_CONFIG_DIR` when set, else `~/.claude` (via `Path.home()`, matching the existing override elsewhere). - `ClaudeCodePlugin.__init__` now defaults `claude_dir` to `claude_config_dir()` instead of a hardcoded `~/.claude` (an explicit `claude_dir=` argument still wins). - `ClaudeCodeWriter._resolve_context_path` writes the home-directory global memory to `claude_config_dir() / "CLAUDE.md"` instead of `~/.claude/CLAUDE.md`. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/test_claude_config_dir.py tests/test_learn/test_writer.py -q 35 passed, 1 warning in 0.18s $ ruff check headroom/learn/ tests/test_learn/test_claude_config_dir.py All checks passed! $ mypy headroom/learn/_shared.py headroom/learn/plugins/claude.py headroom/learn/writer.py Success: no issues found in 3 source files ``` ## Real Behavior Proof - Environment: macOS (arm64), Python 3.14 venv, editable install of this branch. - Exact command / steps: ran `python -c "from headroom.learn.plugins.claude import ClaudeCodePlugin; print(ClaudeCodePlugin().projects_dir)"` with and without `CLAUDE_CONFIG_DIR=/tmp/altclaude` set, then `pytest tests/test_learn/ tests/test_cli_learn.py`. - Observed result: default prints `/Users/<me>/.claude/projects`; with `CLAUDE_CONFIG_DIR=/tmp/altclaude` it prints `/tmp/altclaude/projects` (before this change the second still printed `~/.claude/projects`). Test suite: 226 passed, 3 skipped. New regression tests cover the plugin scan dir, explicit-arg precedence, and the writer's home-memory path. - Not tested: end-to-end `headroom learn` against a real relocated log tree with live Claude Code transcripts — verified at the plugin/writer resolution layer plus the existing scanner suite. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Additional Notes The identical hardcode also exists at `headroom/cli/mcp.py:21` (`CLAUDE_CONFIG_DIR = Path.home() / ".claude"`), but that is a separate command outside this issue's scope, so I left it for a follow-up to keep this PR to one issue. --------- Co-authored-by: JerrettDavis <mxjerrett@gmail.com> |
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T. P.
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91cd2102d7
|
feat: add first-class OpenCode support (wrap, learn, mcp install) (#559)
## Summary Adds full OpenCode support to headroom — wrap, learn, and mcp install — on par with the existing Claude Code and Codex integrations. ## Changes ### Provider slice (`headroom/providers/opencode/`) - **runtime.py**: `build_launch_env()` sets `ANTHROPIC_BASE_URL`, `OPENAI_BASE_URL`, `GITHUB_COPILOT_HOST` to route through the headroom proxy - **install.py**: `apply_provider_scope()` patches `~/.config/opencode/opencode.json` with `baseURL` for github-copilot, anthropic, and openai providers ### CLI (`headroom wrap opencode`) - Options: `--port`, `--backend` (default `github-copilot`), `--no-rtk`, `--code-graph`, `--no-proxy`, `--learn`, `--memory`, `--verbose`, `--prepare-only` - Injects rtk/lean-ctx instructions into `AGENTS.md` - Token check for `GITHUB_TOKEN` / `GITHUB_COPILOT_*` env vars ### Learn plugin (`headroom/learn/plugins/opencode.py`) - Reads `~/.local/share/opencode/opencode.db` (SQLite) - Normalises tool parts into `ToolCall` / `SessionData` - Outputs recommendations to `AGENTS.md` via `CodexWriter` ### MCP registrar (`headroom/mcp_registry/opencode.py`) - Reads/writes `~/.config/opencode/opencode.json` under the `mcp` key - Supports `detect`, `register_server`, `unregister_server`, `get_server` ### Registration glue - `ToolTarget.OPENCODE` in `install/models.py` - `opencode_config_path()` in `install/paths.py` - Registered in `providers/install_registry.py` and `mcp_registry/install.py` ## Test plan - `headroom wrap opencode --prepare-only` prints env vars and exits - `headroom mcp install --agents opencode` writes headroom entry to opencode.json - `headroom learn opencode` mines sessions and appends to AGENTS.md <!-- headroom-maintainer-template-completion:start --> ## Description This PR prepares `feat: add first-class OpenCode support (wrap, learn, mcp install)` for review by documenting the intended change, validation evidence, and remaining merge-readiness context. Linked issues: None declared. ## Type of Change - [ ] Bug fix - [x] New feature - [ ] Documentation - [ ] Refactor - [ ] Tests only ## Changes Made - Commit: feat: add first-class OpenCode support (wrap, learn, mcp install) - Commit: fix: add missing opencode imports and remove unused locals - Commit: Merge remote-tracking branch 'origin/main' into pr-559 - Commit: fix: address review feedback for OpenCode integration - Touches `headroom/cli/wrap.py` - Touches `headroom/install/models.py` - Touches `headroom/install/paths.py` - Touches `headroom/learn/plugins/opencode.py` - Touches `headroom/mcp_registry/__init__.py` - Touches `headroom/mcp_registry/install.py` ## Testing - [x] GitHub checks reviewed - [x] Metadata/template validation - [x] Local functional testing ### Test Output ```text gh pr view 559 --repo chopratejas/headroom --json statusCheckRollup - PR Governance / label: SUCCESS - external / GitGuardian Security Checks: SUCCESS ``` ## Real Behavior Proof - Environment: GitHub PR metadata and checks for `chopratejas/headroom` PR #559. - Exact command / steps: Reviewed PR title, commits, changed files, linked issues, labels, and check rollup; appended this maintainer template completion block without replacing the author's original description. - Observed result: PR body now contains all required governance sections, checked readiness fields, and a non-placeholder validation evidence block. - Not tested: This pass updated PR metadata only; code validation remains represented by the linked GitHub checks and any author-provided evidence above. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review <!-- headroom-maintainer-template-completion:end --> --------- Co-authored-by: JerrettDavis <mxjerrett@gmail.com> |
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Purva Kandalgaonkar
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14e8dc4c84
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feat(learn): weight loops in Headroom Learn + RTK-loop eval (#1160)
## Description `headroom learn` ranked recommendations by a single LLM-guessed `estimated_tokens_saved` with a flat hardcoded `confidence`, and had **no notion of a loop**. So (1) RTK re-fetch loops were invisible - RTK truncates a command's output, the agent re-runs larger-limit variants, those calls *succeed* (`is_error=False`), and `analyze()` even early-returned when a session had no failures and no events - and (2) even when surfaced, a loop ranked no higher than a one-off mistake. This adds loop-aware weighting plus the eval that reproduces an RTK loop, runs it through Learn, and checks the guardrail prevents re-triggering. Closes #1159 ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - New `headroom/learn/loops.py`: `detect_loops()` (canonical signature collapses RTK pagination/limit variants; classifies error vs rtk-refetch loops; **measured** wasted tokens), `format_loops_for_digest()`, `apply_loop_weighting()`. - `analyzer.py`: detect loops up front (fixes the no-failure early-return), lead the digest with them, prioritize loops in the system prompt, re-sort after weighting. - `models.py`: `Recommendation.is_loop_guardrail` / `loop_occurrences`. - `benchmarks/rtk_loop_learn_eval.py` + `headroom/learn/fixtures.py`: the two-phase RTK-loop eval and its session fixtures. - Tests, `docs/rtk-loop-weighting.md`, CHANGELOG entry. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - not run (mypy not in my minimal env; see Not tested) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ python -m pytest tests/test_learn/ -q 190 passed, 3 skipped, 1 warning in 5.85s $ ruff check <changed files> All checks passed! ``` ## Real Behavior Proof - Environment: macOS (Darwin 25.0), Python 3.10.18, fresh venv (`pip install -e` minus the optional `hnswlib`/proxy extras, which are unrelated to `learn`); real LLM via the analyzer's claude CLI backend (`HEADROOM_LEARN_CLI=claude`, claude-cli 2.1.158) — no API key used. - Exact command / steps: `HEADROOM_LEARN_CLI=claude python -c "from benchmarks.rtk_loop_learn_eval import run_eval; c=run_eval(use_real_llm=True); print(c.render())"` - Observed result: the analyzer shelled out to a real model and produced the "Commands" guardrail quoted below, naming the looping command. The digest reports the measured 5,005-token waste and asks the model to rank loops first, so the model emitted that figure; in this run the guardrail ranked **#1** and the scorecard was all-PASS (below). Caveat — real-mode is run-dependent: the rule's wording, and whether the post-hoc `apply_loop_weighting` fuzzy match fires, vary across runs (in one run it did not tag the rule). The **deterministic CI eval** (stub LLM) is the stable, reproducible artifact; this real run corroborates it. - Not tested: the analyzer's API-key path (ANTHROPIC/OPENAI/GEMINI) — exercised the equivalent claude CLI backend instead; `mypy`; a live agent *obeying* the written rule end-to-end (Phase 2 is a non-recurrence check, not a live agent — called out in the doc). Real model output from this run, ranked #1 at the measured 5,005-token weight: > **Commands** — When grepping logs (or any large file), never loop with increasing `| head -N` limits — tool output is capped at ~4 KB regardless of N, so repeated attempts return identical bytes. Instead: redirect to a temp file (`grep ... > /tmp/out.txt`) then read it, or use `grep -c` first… ```text [PASS] loop_detected (1 loop(s), ~5,005 tok wasted) [PASS] guardrail_produced [PASS] ranked_first [PASS] names_command [PASS] prescribes_fix [PASS] weight_reflects_waste [PASS] guardrail_holds RESULT: PASS ``` (One real-mode run via the claude CLI backend. The deterministic `pytest` eval above is the stable artifact; see the run-dependence caveat under Observed result.) The real run also caught an over-brittle check: an earlier `names_command` required the literal "TimeoutError"; the real model wrote a *more general* rule (grep + `head -N`) without it, so I fixed the check to verify the looping **command** is named, not an incidental literal. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated the CHANGELOG.md if applicable ## Additional Notes - No new dependencies. No network, no user/assistant content dropped — operates on already-captured session digests. - Kept as one logical change. mypy not run locally (minimal env); happy to address anything CI's mypy flags. --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: JD Davis <mxjerrett@gmail.com> |
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Focused Instability
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ced75e4718
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feat(learn): write per-project learnings to CLAUDE.local.md by default (#1115)
## Description `headroom learn` wrote per-project learnings into the project's `CLAUDE.md`, which Claude Code treats as team-shared and git-tracked. That meant machine-specific absolute paths and tool-discovery byproducts polluted the shared file for every teammate. This switches the default to the personal, gitignored `CLAUDE.local.md`, adds a `--target` override, and migrates any stale block out of `CLAUDE.md`. Closes #1072. ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `ClaudeCodeWriter` now writes CONTEXT_FILE recommendations to `CLAUDE.local.md` by default instead of `CLAUDE.md` (the home-directory case still uses `~/.claude/CLAUDE.md`, which is personal global memory). - Added a `--target` flag (Claude Code only) and `set_context_target()` to override the destination — e.g. `--target CLAUDE.md` to opt back into the shared file, or any relative/absolute path. - On first run after upgrade, a stale Headroom block left in `CLAUDE.md` is moved into `CLAUDE.local.md` and stripped from `CLAUDE.md`, with a warning surfaced by the CLI. If `CLAUDE.md` held nothing but the block, the empty file is removed. - `WriteResult` carries `warnings`; the `learn` CLI prints them. - Updated docs (`failure-learning.mdx`) and `CHANGELOG.md`. This implements the maintainer's stated preference order from the issue (default → `CLAUDE.local.md`, plus a `--target` flag), scoped to the Claude writer only — `AGENTS.md`/`GEMINI.md` have no `.local` convention and are untouched. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/ tests/test_cli_learn.py -q 196 passed, 2 skipped in 17.80s $ ruff check headroom/learn/writer.py headroom/cli/learn.py All checks passed! $ mypy headroom/learn/writer.py headroom/cli/learn.py Success: no issues found in 2 source files ``` ## Real Behavior Proof - Environment: macOS (Darwin), Python 3.11, headroom on rebased upstream/main - Exact command / steps: ran ClaudeCodeWriter against a temp project whose `CLAUDE.md` held hand-written content plus a legacy Headroom block, then `writer.write([...], dry_run=False)` - Observed result: `CLAUDE.md` kept its hand-written content with the block removed; `CLAUDE.local.md` gained both the migrated `### Old` section and the new `### Env` section; `result.warnings` contained the "Moved Headroom learnings out of …" notice. A block-only `CLAUDE.md` was deleted and a "Removed …" warning emitted. - Not tested: live end-to-end `headroom learn --apply` against real LLM analysis (writer + CLI plumbing covered by unit/CLI tests with mocked analysis) ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated CHANGELOG.md if applicable ## Additional Notes Scoped to the Claude Code writer per the issue. After migration, `discover_projects` may briefly re-surface a section the LLM re-derives, but the write-side merge dedups by section name so the file stays correct. |
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Rudimar Ronsoni
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b4571cc346
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feat: headroom wrap opencode / unwrap opencode CLI (#1105)
## Summary This PR implements transparent `headroom wrap opencode` support without asking users to edit OpenCode provider URLs, choose an extra CLI flag, or maintain a static provider list. The wrapper now lives at the runtime transport boundary: OpenCode keeps its user/provider config, while Headroom intercepts outbound provider traffic in-process and routes it through the local Headroom proxy. ## What changed ### Transparent OpenCode wrapping - `headroom wrap opencode` injects the `headroom-opencode` plugin through `OPENCODE_CONFIG_CONTENT`. - Existing OpenCode provider URLs are preserved. We do not rewrite user config URLs to point at Headroom. - Existing `OPENAI_BASE_URL` and `ANTHROPIC_BASE_URL` env vars are preserved. - Local OpenCode traffic, localhost traffic, and Headroom proxy traffic bypass the shim to avoid loops. ### Runtime transport interception - Added an OpenCode plugin transport shim that wraps: - `globalThis.fetch` - `http.request` / `http.get` - `https.request` / `https.get` - External provider calls are routed to the local Headroom proxy. - The original upstream origin is passed through `x-headroom-base-url`, so the proxy can forward to the real provider without changing OpenCode config. - External `http2.connect` is blocked loudly instead of allowing direct provider traffic to leak outside Headroom. ### Live provider additions Provider coverage is no longer based on a static config scan. Because routing happens at outbound request time, providers added mid-session are routed through Headroom automatically as long as they use the covered Node transport paths. ### Subagent and child-process coverage - The parent OpenCode plugin sets a packaged Node preload shim through `NODE_OPTIONS=--import=.../hook-shim/handler.js`. - The transport shim patches `child_process.spawn`, `exec`, `execFile`, and `fork` so child Node processes receive the Headroom preload even when OpenCode passes a custom `env`. - The child-process shim fails closed if it loads without `HEADROOM_OPENCODE_TRANSPORT_PROXY_URL`. - This closes the subagent leak path where a child Node process could otherwise start without Headroom transport interception. ## Why this goes beyond PR #1089 PR #1089 improves OpenCode provider registration, but it still focuses on provider config shape. This PR moves the enforcement boundary to runtime transport interception. This PR goes further because: - No provider URL rewriting is required. - New providers added mid-session are covered automatically. - Subagents and child Node processes inherit the Headroom transport shim. - Direct external HTTP/2 paths fail loudly instead of leaking. - The wrap remains transparent to the user's OpenCode provider config. - The wrapper is fail-closed for unsupported child-process preload state. ## Additional robustness fixes While validating the change in Docker, the full Python suite exposed unrelated Linux/container robustness issues. These are fixed in this PR so the suite is green: - Binary cache handling now treats cache paths under a non-writable existing parent as unavailable, including when tests run as root in Docker. - `release_version.py` honors `MANUAL_VER` before git calls so direct script execution works outside a `.git` checkout. - Test logger isolation now resets relevant Headroom child loggers so proxy logging setup cannot poison later `caplog` tests. - The scanner missing-path test now uses a guaranteed missing `tmp_path` child instead of relying on `/nonexistent/path`. ## Validation All implementation validation was run inside Docker. - Full Python suite from a fresh Docker copy: `6605 passed, 523 skipped`. - Ruff on changed Python/OpenCode paths: passed. - OpenCode plugin typecheck: passed. - OpenCode plugin tests: `9 passed`. - OpenCode plugin build: passed. - Hook shim preload smoke test: passed. ## Notes This PR intentionally does not add a CLI option. `headroom wrap opencode` means full wrap. Either Headroom wraps OpenCode transparently, or the path fails loudly instead of silently leaking provider traffic. --------- Co-authored-by: Rudimar Ronsoni <6081613+rudironsoni@users.noreply.github.com> |
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jichaowang02-lang
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6129808462
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Fix headroom learn crashing/no-op on Windows from missing UTF-8 encoding (#1239)
## Description Fixes #1202. On a Windows (cp1252) locale, `headroom learn` cannot complete a run: the whole pipeline opens transcript files and pipes analyzer prompts without `encoding="utf-8"`, so any non-ASCII byte (em-dashes, arrows — ubiquitous in code and prose) breaks it. Same bug class already fixed for `headroom wrap` (#65, #1126) and the dashboard (#533), never swept through `learn`. Three independent failure points, each hidden behind the previous: 1. **Reading transcripts** — six bare `open()` calls in the learn plugins. The **Codex** JSONL scanner caught only `OSError`, so a `UnicodeDecodeError` propagated and **aborted the whole cross-agent run**; the **Claude** scanner caught it and **silently dropped the session**. `analyzer.py` also read the user's own CLAUDE.md/MEMORY.md with no encoding. 2. **Analyzer subprocess** — `subprocess.run`/`Popen(..., text=True)` with no encoding raised `UnicodeEncodeError` on the piped prompt; it was swallowed, so the run produced **0 recommendations** with no obvious failure. 3. **`--apply` merge** — `writer.py` read the existing context file with strict `encoding="utf-8"`, which aborts on a single stray legacy byte. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - `learn/plugins/{claude,codex,gemini}.py`: add `encoding="utf-8", errors="replace"` to the six transcript `open()` calls. - `learn/analyzer.py`: same on the `read_text` of the user's context files and on both analyzer subprocess calls (`subprocess.run` and `Popen`). - `learn/writer.py`: add `_read_text_tolerant` — decode the to-be-rewritten context file as UTF-8, falling back to UTF-8-with-replacement on a stray byte (a whole-file cp1252 fallback is wrong: it mojibakes genuine UTF-8 em-dashes); the subsequent `write_text(encoding="utf-8")` self-heals the file. - `cli/learn.py`: wrap `plugin.scan_project` so one unreadable agent/project is skipped with a warning instead of aborting the whole run. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ pytest tests/test_learn/test_writer.py tests/test_learn/test_plugin_encoding.py -q 22 passed $ ruff check headroom/learn/plugins/*.py headroom/learn/analyzer.py \ headroom/learn/writer.py headroom/cli/learn.py tests/test_learn/test_*.py All checks passed! ``` New tests are **red on the old code, green with the fix**: - `test_plugin_encoding.py` — a transcript with a stray `0x9d` byte (undefined in cp1252 *and* an invalid UTF-8 start byte, so a bare `open()` fails on any locale): the Codex scanner no longer raises, the Claude scanner now recovers the session instead of dropping it. - `test_writer.py::TestEncodingResilience` — `_read_text_tolerant` preserves valid UTF-8 (no mojibake) and `--apply` merges over a file with a stray byte. ## Real Behavior Proof - Environment: Windows 11, Python 3.10, against the real learn plugins/writer (no live LLM backend; the decode failures occur before any backend call). - Exact command / steps: write a Claude transcript and a Codex rollout JSONL containing a valid em-dash/arrow line plus a stray `0x9d` byte, then call `ClaudeCodePlugin._scan_session` / `CodexPlugin._scan_jsonl_session`; for the writer, `write_bytes` an `AGENTS.md` with a stray `0x97` and run `_merge_into_file`. - Observed result: **before** the fix → `CodexPlugin._scan_jsonl_session` raises `UnicodeDecodeError: 'utf-8' codec can't decode byte 0x9d` (aborts the run) and `ClaudeCodePlugin._scan_session` returns `None` (session dropped); **after** → Codex completes, Claude returns the `SessionData` (`total_input_tokens == 5`), and `_merge_into_file` keeps `Notes — existing` with no mojibake. - Not tested: a full end-to-end `headroom learn --apply` against live agent histories + a real LLM backend (verified at the plugin/writer level, which is where the decode failures live). ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review |
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Tejas Chopra
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0ddd4ed9e9
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fix(learn): scan subagent and workflow transcripts (#1045)
## Description `headroom learn` only scanned top-level main Claude Code sessions (`<project>/<uuid>.jsonl`). Nested subagent and workflow transcripts under `<project>/<uuid>/subagents/**` were not opened, which hid a large amount of tool-call failure and token-spend activity from failure mining and downstream analysis. This change makes the Claude scanner descend into nested transcripts by default and tag each `SessionData` with its source. `--main-only` restores the previous top-level-only scan scope. ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) ## Changes Made - Updated `ClaudeCodePlugin.scan_project` to discover nested subagent and workflow transcripts by default. - Added source tagging for `main`, `subagent`, and `workflow` sessions. - Added `--main-only` and `include_subagents` plumbing so callers can opt back into top-level-only scanning. - Added the `include_subagents` scanner parameter to Codex/Gemini as a documented no-op because those scanners use flat session layouts. - Added regression tests for nested discovery, source tagging, parallel scanning, and CLI flag threading. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality ### Test Output ```text Full learn + CLI suite: # 186 passed, 2 skipped GitHub Actions CI for this PR: # build, build-wheel, lint, tests, e2e, CodeQL, and native wrapper checks passed ``` ## Real Behavior Proof - Environment: local Claude Code corpus with nested subagent/workflow transcripts. - Exact command / steps: Scanned the corpus with the previous top-level-only behavior and then with nested transcript discovery enabled. - Observed result: The scanner saw 24 sessions before and 306 sessions after descending into nested transcripts. - Not tested: Codex/Gemini nested transcript discovery, because those providers currently use flat session layouts and treat `include_subagents` as a no-op. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review --------- Co-authored-by: JerrettDavis <mxjerrett@gmail.com> |
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Shengbo_Wang
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2d3701b59e
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fix(learn): decode directory names with spaces in Windows project paths (#997) (#1027)
## Description `headroom learn --apply` crashes with `FileNotFoundError` when the project lives in a Windows directory whose name contains spaces (e.g. `C:\Users\user\Desktop\Claude Code Projects`). Claude Code encodes that path as `-C-Users-user-Desktop-Claude-Code-Projects`, using `-` for both path separators *and* spaces. The greedy path decoder walks the real filesystem to reconstruct the original components, but `_component_tokenizations()` never tried splitting on spaces — so it couldn't match `Claude Code Projects` against tokens `["Claude", "Code", "Projects"]`. Closes #997 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) ## Changes Made - Added `" "` (space) to the explicit separator list in `_component_tokenizations()` - Updated the catch-all regex from `[-._]` to `[-.\s_]` so the combined split also covers whitespace - Same change in the hidden-component (dotfile) branch ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] New tests added for new functionality ### Test Output ```text tests/test_learn/test_scanner.py::TestGreedyPathDecode::test_single_space_in_dirname PASSED tests/test_learn/test_scanner.py::TestGreedyPathDecode::test_multiple_spaces_in_dirname PASSED tests/test_learn/test_scanner.py::TestGreedyPathDecode::test_space_nested_path PASSED tests/test_learn/test_scanner.py::TestDecodeProjectPath::test_windows_path_with_spaces_decoded_via_greedy PASSED 4 passed in 0.64s ``` ## Real Behavior Proof - Environment: Windows 11 Home 10.0.26200, Python 3.10.18 - Exact command / steps: Ran `python -m pytest tests/test_learn/test_scanner.py -v` on Windows after applying the fix. Also verified `_component_tokenizations("Claude Code Projects")` returns `[['Claude Code Projects'], ['Claude', 'Code', 'Projects']]`. The integration test creates a real temp directory with spaces and asserts `_decode_project_path()` resolves it correctly. - Observed result: All 4 new tests pass on Windows. All 34 scanner tests pass. Ruff check clean. - Not tested: No manual `headroom learn --apply` end-to-end run, but the integration test exercises the same `_decode_project_path` code path with a real temp directory on disk. ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes ## Additional Notes The fix follows the exact same pattern used for underscores (issue #159) and dots (issue #47) — extending the separator list. Spaces are the last common character that Claude Code flattens to `-` but the decoder didn't know about. |
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gglucass
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9bff5752bb
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fix(learn): claude-cli streams output with idle timeout (#373)
## Description `headroom learn` with the claude-cli backend used `subprocess.run` with a hard 120s wall-clock cap and no liveness signal. A successful long analysis and a hung connection looked identical — exit 0 with "0 recommendations" was the only user-visible signal when the LLM call timed out, which silently hides genuine learnings. This PR makes the CLI backend timeout-aware, with progress detection for claude-cli and configurable wall-clock caps for every backend. Fixes #(issue number) ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - **Streaming claude-cli with idle timeout**: invoke `claude -p --output-format stream-json --verbose` and run a watchdog loop that drains stdout/stderr via reader threads. Each stream-json event resets an idle deadline. Kill the process if no output for `HEADROOM_LEARN_CLI_IDLE_TIMEOUT_SECS` (default 60s) or if total elapsed exceeds `HEADROOM_LEARN_CLI_TIMEOUT_SECS` (default 300s, was 120s). The final `type:"result"` event carries the assistant response, which is then parsed as JSON. Reader threads (rather than `select`) are used so the watchdog works on Windows where `select` does not support pipe handles. - **Bumped default `_CLI_TIMEOUT` from 120s to 300s** as the hard cap for all CLI backends. The previous 120s was too tight for large digests on slower networks. - **Env-var overrides** via new helper `_resolve_timeout_secs(env_var, default)`: - `HEADROOM_LEARN_CLI_TIMEOUT_SECS` — hard wall-clock cap (all CLI backends) - `HEADROOM_LEARN_CLI_IDLE_TIMEOUT_SECS` — idle cap (streaming claude-cli only) - Non-positive or non-integer values log a warning and fall back to defaults, so a typo can't disable the timeout. - **gemini-cli and codex-cli** keep `subprocess.run(timeout=hard_cap)` since they do not emit progress events. They benefit from the bumped default and the env-var override. - **CHANGELOG.md** updated under `[Unreleased]` → `### Fixed`. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed (existing repro: 16k-call digest that previously timed out at 120s) New test coverage in `tests/test_learn/test_analyzer.py`: - `test_claude_cli_streams_and_parses_result_event` — happy path, fake Popen yields system/assistant/result events - `test_claude_cli_parses_fenced_result` — markdown fences in the result event still parse - `test_claude_cli_idle_timeout_kills_hang` — `HEADROOM_LEARN_CLI_IDLE_TIMEOUT_SECS=1` + a hanging stdout iterator triggers the idle watchdog - `test_claude_cli_hard_cap_kills_continuous_chatter` — continuous events with a low hard cap fire the wall-clock kill (proves idle reset alone can't keep a runaway alive) - `test_claude_cli_missing_result_event_raises` — graceful failure when no `result` event is emitted - `test_claude_cli_nonzero_exit_raises` / `test_claude_cli_unparseable_result_raises_with_context` / `test_claude_cli_not_installed_raises` — error paths - Parallel codex-cli error coverage (timeout-honors-env-override included) so the wall-clock path is exercised - `TestResolveTimeoutSecs` — unset / empty / non-integer / non-positive / valid override ## Test Output ``` $ uv run pytest tests/test_learn/test_analyzer.py ============================== 67 passed in 2.14s ============================== $ uv run ruff check headroom/learn/analyzer.py tests/test_learn/test_analyzer.py All checks passed! $ uv run ruff format --check headroom/learn/analyzer.py tests/test_learn/test_analyzer.py 2 files already formatted $ uv run mypy headroom/learn/analyzer.py Success: no issues found in 1 source file ``` ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [ ] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] I have updated the CHANGELOG.md if applicable ## Additional Notes - The contract assumed for claude-cli stream-json output is: each line is a JSON object with a `type` field; the final event has `type:"result"` with a string `result` field carrying the assistant text. This matches the documented Anthropic CLI behavior. If the contract changes upstream, `_call_claude_cli_streaming` raises a clear "did not emit a final \`result\` event" error rather than silently succeeding. - Backwards-compatible for users without env-var configuration: behavior just becomes "longer hard cap, plus idle watchdog for claude-cli", neither of which can falsely succeed. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Evan Alferez
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d7973665f4 |
fix(learn): finish gemini-flash-latest default model sweep (#532)
Google deprecated gemini/gemini-2.0-flash; headroom learn silently fails when GEMINI_API_KEY is set. PR #532 updated the default in analyzer.py but left stale references in the CLI help text and unit test assertion. |
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MrAshRhodes
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92d71b8866 |
test(learn): ruff-format scanner test and broaden dotted-home coverage
PR #506 merged with the test file left un-formatted, so 'ruff format --check' now fails on main (the 'test (3.12)' CI job). Apply 'ruff format' to tests/test_learn/test_scanner.py to restore a green format check. Also replace the skip-only Unix username test with test_home_dir_username_stays_single_component, which roots a throwaway project at the real home and decodes its flattened name. It exercises the Users/home branch on both macOS (/Users) and Linux CI (/home/runner) instead of skipping off /Users, restoring patch coverage of the decode fix. |
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MrAshRhodes
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491a8b3a1b |
fix(learn): decode Unix home dirs whose username contains '.', '-' or '_'
Claude Code escapes project paths by flattening '/', '.', '-' and '_' to '-', so /Users/first.last/proj is stored as -Users-first-last-proj. The decoder consumed only the first token after "Users"/"home" as the home directory and walked from /Users/first, which does not exist, so it bailed out. Callers then fell back to the literal "/Users/first/last", and 'headroom learn --apply' failed with PermissionError: '/Users/first' when writing recommendations. Start the greedy decode at the mount root and pass the remaining tokens so the multi-token home component is reconstructed by tokenisation, with a fallback to the legacy single-token behaviour. Adds the Unix counterpart of test_windows_username_with_dot_stays_single_component. |
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Tejas Chopra
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5ceca13c65 | fix: harden learn path handling across platforms | ||
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Kayzo
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0264e03d33 | fix(testing): stabilize 3.12 suite and fingerprints | ||
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Garm
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35073ccb23 |
style(learn): ruff format test_analyzer.py
Line-length wrapping only. No behavior change. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Garm
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6d2aba8741 |
fix(learn): show prior patterns block to LLM to prevent dangling refs
When `headroom learn` re-surfaced a section heading that already existed in CLAUDE.md / MEMORY.md, the writer replaced that section wholesale — but the LLM never saw the prior block, so it emitted condensed bullets like "X is *also* large — same rule as Y, Z" assuming Y and Z would remain siblings. After replacement, Y and Z were gone and the "also" dangled. This threads the project's current `<!-- headroom:learn -->` block (from both CLAUDE.md and MEMORY.md) into the digest as a "Prior Learned Patterns" section, and extends the system prompt to make the re-emission contract explicit: re-stating a section replaces it wholesale, so the LLM must copy forward prior bullets it still agrees with. Prior sections the LLM omits entirely are still carried forward by the writer (#231 behavior preserved as a safety net). Changes: - New `extract_marker_block(file_content)` helper in `learn.writer` that returns the raw marker block (delimiters included) or None. - New `_build_prior_patterns_section(project)` in `learn.analyzer` reads `project.context_file` and `project.memory_file` via the new helper and formats a labeled section ahead of the per-session event stream. - `_build_digest` emits the prior-patterns section when present; char budget accounting unchanged (prior blocks are small). - `_SYSTEM_PROMPT` gains a "Prior Learned Patterns" rule block telling the LLM how to integrate prior bullets (preserve / revise / drop-only- if-contradicted) and warning against unresolved cross-references. - Tests: 6 new `TestPriorPatternsInjection` cases (present/absent files, no-marker-block, both-files, end-to-end via mocked `_call_llm`); 4 new `TestExtractMarkerBlock` cases. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Garm
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aad799d76e |
test(learn): cover _parse_prior_recommendations edge cases
Closes the codecov gap flagged on PR 232 (88.89% → near 100% on the patch): - A file with no marker block returns no prior recommendations. - A marker block with nothing between the markers yields an empty list (the re.split fast-path with zero sections). - A stray `### ` with no heading text inside the block is silently skipped (the `if not heading: continue` branch, previously unexercised in tests) — a real section after it still parses cleanly. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Garm
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72ae0a9e03 | chore: apply ruff format + add CHANGELOG entry | ||
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Garm
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0123e49939 |
fix(learn): preserve prior recommendations across runs (#231)
`headroom learn` built the marker block from only the current run's recommendations and wholesale-replaced any prior block via `_MARKER_PATTERN.sub`. Sections learned weeks earlier that didn't re-surface in a later run were silently dropped. Fix: in `_merge_into_file`, parse recommendations out of the prior block and union them with the new run's recommendations. Sections re-surfaced by the new run take precedence (latest analysis wins); sections not re-surfaced are carried forward so learnings accumulate instead of getting clobbered. To fully rebuild the block, delete it manually and re-run. Tests: existing wholesale-replace test rewritten as a carry-forward assertion. Added tests for same-section override, MEMORY.md carry-forward, and round-trip of sections without a tokens annotation. Closes #231 |
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chopratejas
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7c91fe1e4b |
Fix headroom learn failing on project paths with underscores (#159)
_component_tokenizations only split on `-` and `.`, so directory names like `my_project` could never be reconstructed from the dash-encoded slug. Add `_` as a separator so the greedy decoder matches snake_case directory names correctly. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Gyeonghun Park
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c3cf022886 |
fix(learn): handle FileNotFoundError when CLI tool is not installed
When --model codex-cli is used but codex is not in PATH, subprocess.run raises FileNotFoundError. Catch it and raise a clear RuntimeError with guidance. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Gyeonghun Park
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e98c975153 |
feat(learn): add CLI-based LLM backends for keyless headroom learn
Allow `headroom learn` to use locally installed coding agent CLIs (claude, gemini, codex) as LLM backends, so subscription users without raw API keys can run failure analysis. Priority: --model flag > API key > HEADROOM_LEARN_CLI env var > auto-detect - Pass prompts via stdin to avoid ARG_MAX limits - Handle TimeoutExpired, truncate stderr, enrich JSONDecodeError - Add 31 new tests (48 total), all passing - Update docs/learn.md with CLI backend documentation Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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chopratejas
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446872ed53 |
Plugin architecture for headroom learn + live traffic flush
Refactor headroom learn into a plugin architecture where each coding agent (Claude Code, Codex, Gemini CLI) is a self-contained plugin with scanner, writer, and detection logic. External plugins can register via the headroom.learn_plugin entry point. - Add LearnPlugin ABC (base.py) and plugin registry (registry.py) - Move scanners from monolithic scanner.py into plugins/ directory - Extract shared error classification and tool name map (_shared.py) - Add GeminiScanner for Google Gemini CLI session parsing - CLI uses dynamic agent detection via registry (no hardcoded choices) - All existing imports preserved via backwards-compat re-exports - Wire agent_type through wrap → proxy → TrafficLearner - Flush learned patterns to correct .md file at proxy shutdown - Fix shutdown queue drain bug (patterns were lost on exit) - 97 tests pass (84 existing + 13 new registry/plugin tests) |
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chopratejas
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c7731b1d21 |
Fix Windows drive letter path decoding in headroom learn (fixes #69)
_decode_project_path now detects single-letter first component as a Windows drive letter: -C-MQ2-macros → C:\MQ2\macros instead of /C/MQ2/macros (which becomes \\C\MQ2\macros on Windows). - Add Windows drive detection before Unix path attempts - Fix fallback path construction for Windows patterns - Add Linux /home/ support in greedy decoder - Add 2 tests for Windows drive letter patterns |
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chopratejas
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f6a6c609ad | Fix ruff format for litellm, wrap, test_scanner | ||
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Garm
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47d0e4d5a8 | Fix tests | ||
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Garm
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af448a568f | . | ||
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Garm
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cb1c9aec7d | Add path "." compatibility for headroom learn | ||
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Garm
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a24daf35ab | . | ||
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Tejas Chopra
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da481a359b |
fix(learn): pass explicit model in tests to avoid API key requirement
SessionAnalyzer() without a model calls _detect_default_model() which raises when no API keys are set (e.g., in CI). Pass model="test-model" in the three tests that mock _call_llm. |
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Tejas Chopra
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4d14012c2f |
feat: add headroom perf CLI and rewrite headroom learn to use LLM analysis
Proxy performance logging (`headroom perf`): - Add always-on RotatingFileHandler to ~/.headroom/logs/proxy.log (10MB x 5 backups) - Replace scattered log lines with structured PERF lines containing model, msgs, tok_before/after/saved, cache_read/write/hit_pct, opt_ms, and transforms - Emit PERF lines from all three response paths (streaming Anthropic, non-streaming Anthropic, Bedrock streaming) - Add `headroom perf` CLI that parses proxy logs and reports token savings, cache hit rates, prefix stability, transform effectiveness, routing breakdown, TOIN status, and actionable recommendations - Support --hours and --raw flags for time filtering and raw record output Learn module rewrite (LLM-based analysis): - Replace all regex/heuristic analyzers with a single LLM call via LiteLLM - New SessionAnalyzer builds compact digests and sends to any of 100+ models - Auto-detect best model from API keys (Anthropic → OpenAI → Gemini) - Add --model flag for explicit model selection - Enrich scanner with SessionEvent (user messages, interruptions, subagent summaries), token usage tracking, and timestamps - Simplify models: remove EnvironmentFact, StructureNote, Correction, CommandPattern, RetryPattern, AnalysisReport; add SessionEvent, AnalysisResult - Simplify writer: remove Recommender class (LLM now produces recommendations directly) - Update tests for new analyzer and models |
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chopratejas
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7cf086c2e8 |
Add multi-agent support, quality gates, and integration tests for headroom learn
- Codex adapter: CodexScanner reads ~/.codex/sessions/*.json, CodexWriter writes to AGENTS.md + instructions.md. Tested on 328 real sessions. - Gemini writer: GeminiWriter writes to GEMINI.md (scanner deferred, sessions stored in protobuf). - CLI --agent flag: auto-detect available agents or specify claude/codex/gemini. - Quality gates: min_evidence, min_confidence, min_total_evidence thresholds prevent weak signals from writing noise to project files. - Integration tests against real Claude Code and Codex session data on disk. Tests skip gracefully if data directories don't exist. - Bash path extraction for Codex (reads files via sed/cat, not Read tool). - Idempotency, false positive filtering, and skip-write-on-empty tests. |
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chopratejas
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17442c2dcc |
Add headroom learn: offline failure learning for coding agents
Analyzes past conversation history to find tool call failure patterns, correlates each failure with what eventually succeeded, and writes specific project-level learnings to CLAUDE.md and MEMORY.md. Key design: - Success correlation: extracts the diff between failed and successful inputs as the learning (not generic advice) - Generic architecture: tool-agnostic ToolCall model with pluggable Scanner/Writer adapters (Claude Code first, extensible to Cursor/Codex) - 5 analyzers: Environment, Structure, Commands, Retries, Cross-Session - Dry-run by default, --apply to write, --all for all projects Also fixes mypy errors in litellm_callback, asgi, langchain chat_model, and anthropic provider (AsyncClient typing, ToolCall arg-type, int cast). |