Pre-release

This release is a pre-release and may not be stable for production use.

PromptCadence

A plan-approved, tier-routed agent loop over LoadCoach in which every step is proposed in a plan, the plan is approved against governance policy and remaining budget before any step executes, and every turn that does execute is fully reconstructable afterwards — which model ran it, on which tier, on what data, at what cost, under whose approval.

Status: Phase 3 (LoadCoach client, bypass loop, events and recovery), unreleased. A bypassed trajectory executes end to end: promptcadence run "…" --bypass-planning --follow queues it, the worker claims it under a lease, mints its ExecutionIntent, runs each turn through LoadCoach's /generate, records the turn with its provenance and every deviation, streams the events over SSE, and survives a kill -9 mid-turn with no duplicated turn and no orphaned LoadCoach job. Planning, tools, budget enforcement and egress policy arrive in the phases that follow; a planned trajectory is claimed and failed with that cause rather than queued forever. See the development plan for what each phase adds.

Part of the Local AI Suite. Reaches a model only through LoadCoach's HTTP API — it never imports a model provider directly (ADR-0045 in the suite's shared documentation).

Install

pip install promptcadence
promptcadence serve

Starts on 127.0.0.1:8768 with zero configuration. Health reports the loadcoach component degraded (not unavailable) when no LoadCoach is reachable — PromptCadence requires LoadCoach for execution, never for startup. See docs/apps/promptcadence/spec.md §12 for the full configuration surface and PROMPTCADENCE_* environment variables.

Quickstart

pip install promptcadence
promptcadence serve            # starts the API on 127.0.0.1:8768
promptcadence health --json    # same health data the API reports, from the CLI
promptcadence run "summarize the files in ./notes" --bypass-planning --follow
promptcadence trajectory list
promptcadence --help

A note on LoadCoach versions: PromptCadence never reads an undeclared finish as success (spec §11 contract 6), and it reads the provider's declared reason from output.finish_reason, which LoadCoach renders since its commit 846348b. Against an older LoadCoach (1.0.0, 01170a7), which recorded the reason but rendered it nowhere, a free-text tier halts on its first turn with that cause on the row, and only a tier whose task profile validates a JSON Schema completes.

Documentation

Read this For
docs/apps/promptcadence/spec.md Purpose, scope, non-goals, public contracts, configuration, acceptance criteria
docs/apps/promptcadence/lifecycle.md The trajectory state machine, deviation categories and estimator
docs/apps/promptcadence/development-plan.md The phased build plan: goals, work, tests, acceptance criteria per phase

Development

python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pre-commit install
pytest -m "not live and not performance"

See SECURITY.md for how to report a vulnerability.

License

Apache-2.0 — see LICENSE.

Project links

Data verified by PyPI on Sep 5, 2026
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  • Released:
Newer release available (1.1.0)

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Avatar for JPKell from gravatar.com JPKell

Credits

Author: Local AI Suite contributors

GitHub Statistics

Data verified by PyPI on Sep 5, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.12

Provides Extra

dev postgres

Classifiers

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