Phase 1 of plan #755 (Scribe-as-plugin). Gives Scribe its own session-start
push channel so always-on rules + active-project context surface without being
asked — the gap behind 'I have to prompt for everything'.
- services/plugin_context.build_session_context: renders always-on rule titles
grouped by topic (under the 10k additionalContext cap; full text stays one
list_always_on_rules/get_rule call away) + optional project goal/open-task
count + a recall/update-over-create reflex line. Capped at 9000 chars.
- routes/plugin GET /api/plugin/context (login_required already accepts Bearer
fmcp_ keys; read scope suffices).
- tests: titles-not-statements, project scoping, length cap (pure mocks).
- scripts/scribe_session_context.sh: dogfood SessionStart hook, fail-open,
reads url+token from .mcp.json. Superseded in Phase 2 by the plugin-bundled
hook using userConfig.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Renames src/fabledassistant -> src/scribe and all imports, plus the
default DB name and DB user/password (fabled -> scribe) in config +
compose. 952 refs / 154 files. Reverses the old 'internal name stays
fabledassistant' convention.
Code-only: live databases are still physically named 'fabledassistant'.
Deployed environments must set POSTGRES_DB / POSTGRES_USER (or rename the
DB) since the defaults now resolve to 'scribe'. Repo (FabledScribe), git
host (fabledsword), MCP (fabled-git) and the image name (fabledscribe)
are intentionally unchanged.
ruff check src/ clean locally; CI (typecheck + pytest) is the gate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Was failing with ModuleNotFoundError for httpx when run via system
python — httpx is a project dep but isn't on the system interpreter's
path. Adding PEP 723 script metadata + uv-run shebang means the script
auto-resolves its deps in an ephemeral venv on every invocation, no
project-venv setup required.
Run with `uv run scripts/bench_ollama.py …` or directly via the shebang
`./scripts/bench_ollama.py …`. `python scripts/bench_ollama.py …` still
works only when httpx happens to be on the active interpreter.
Docstring updated to reflect the running options.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The curator scenario hardcoded think=true, which is qwen3-family-specific.
Non-qwen3 models silently ignore the field, so cross-family curator
comparisons were apples-to-oranges (qwen thinks, others don't).
New --think flag:
- auto (default): scenario-driven — chat=off, curator=on. Matches the
prior behaviour and the most common case.
- off: force disabled across all runs. Use for fair cross-family
comparison; aligns behaviour explicitly even though non-qwen models
would ignore think anyway.
- on: force enabled across all runs. Use to measure what think
contributes on the same model (paired runs: --think off then on).
Output markdown table now records the think mode used, so saved results
are self-documenting when you diff cross-server or cross-config.
Docstring + usage examples updated to reflect the qwen3 candidate set
the bench was originally tuned for.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Standalone tool to measure Ollama model performance under the two
workload shapes the chat+curator architecture would impose:
- chat scenario: short user message, short reply, no thinking. Mirrors
the no-tools chat companion's expected load.
- curator scenario: ~700-token journal transcript with an extraction
prompt, thinking enabled. Mirrors the curator's expected load.
Defaults to CPU-only inference (num_gpu=0). Streams responses; reports
TTFT, total wall time, tokens/sec (from Ollama's eval_count/eval_duration
so it excludes client-side stream overhead), and prompt token count.
First request per (model, num_gpu) is a warm-up to load the model into
memory; not counted in the measured runs.
Designed for cross-server comparison: --server points at any Ollama
instance, --out writes a markdown table. Comparing the two CPU servers
becomes a matter of running the same command on each and diffing the
output.
Lives outside the chat/curator architecture commitment — measurement
tool only. Tells us "is qwen2.5:32b on CPU fast enough for a 10-20 min
curator cadence?" without writing any of the architecture code yet.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Derive REPO_ROOT from the script's own location instead of hardcoding
the absolute project path, so the hook keeps working if the project
directory is renamed or moved.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- scripts/bump_fable_mcp_version.sh: increments patch in pyproject.toml and stages it
- scripts/pre_commit_fable_mcp.sh: PreToolUse Bash hook — fires before git commits,
bumps version if fable-mcp files (other than pyproject.toml itself) are staged
- .claude/settings.json: registers the PreToolUse hook
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
bvandeusen