ai-push-hooks 0.1.11

Modular AI push-hook workflow runner

ai-push-hooks

ai-push-hooks is a configurable pre-push workflow runner for local Git repositories.

It runs module-based steps (collect, LLM, apply, exec, assert) before push so you can automate checks and optional repo maintenance tasks.

Install

Python

uv tool install ai-push-hooks
# or
pipx install ai-push-hooks

Node (wrapper around Python package)

npm install --save-dev ai-push-hooks
# or
pnpm add -D ai-push-hooks

Requirements:

• Python 3.10+ (python3 or python) is required, including npm installs.
• opencode-cli (or opencode) is required for llm and apply steps.
• gh is required only if you use PR creation via gh_pr_create.

Quick start

1. Install the CLI.

2. Generate a starter config:

   ai-push-hooks init --template minimal-docs
   

3. Wire it into Lefthook:

   pre-push:
     commands:
       ai-push-hooks:
         run: ai-push-hooks hook {1} {2}
   

4. Push as usual. The workflow runs automatically before push completes.

Commands

Command	What it does
ai-push-hooks hook <remote-name> <remote-url>	Runs the configured pre-push workflow.
ai-push-hooks init --template minimal-docs	Writes .ai-push-hooks.toml starter config.
ai-push-hooks init --template minimal-docs --force	Overwrites an existing config file.

Configuration overview

• Config file lookup order: .ai-push-hooks.toml, then ai-push-hooks.toml.
• If no config file is present, built-in defaults are used.
• File values are deep-merged over defaults.
• Prompt resolution precedence for llm and apply steps:
  1. prompt
  2. prompt_file
  3. fallback_prompt_id

Configuration reference

Top-level keys

Key	Type	Required	Default
general	table	no	built-in values
llm	table	no	built-in values
logging	table	no	built-in values
workflow	table	yes	{ modules = ["docs"] }
modules	table	yes	{ docs = ... }

[general]

Key	Type	Default	Description
enabled	bool	true	Enables or disables the hook globally.
allow_push_on_error	bool	false	If true, push continues even when workflow fails.
require_clean_worktree	bool	false	If true, aborts when local changes exist.
skip_on_sync_branch	bool	true	If true, skips on sync branch/worktree context.

[llm]

Key	Type	Default	Description
runner	string	"opencode"	LLM runner label (currently OpenCode flow).
model	string	"openai/gpt-5.3-codex-spark"	Model passed to OpenCode.
variant	string	""	Optional OpenCode variant.
timeout_seconds	int	800	Timeout per LLM invocation and related OpenCode calls.
max_parallel	int	2	Max concurrent read-only steps (collect, llm).
json_max_retries	int	2	Retry count for invalid JSON responses.
invalid_json_feedback_max_chars	int	6000	Max invalid output included in retry feedback.
json_retry_new_session	bool	true	Starts a new OpenCode session on JSON retry.
delete_session_after_run	bool	true	Deletes OpenCode sessions after completion.
max_diff_bytes	int	180000	Max bytes of git diff sent into workflow artifacts.
session_title_prefix	string	"ai-push-hooks"	Prefix for OpenCode session titles.

[logging]

Key	Type	Default	Description
level	string	"status"	Console verbosity (status, info, debug).
jsonl	bool	true	Enables JSONL event logging.
dir	string	".git/ai-push-hooks/logs"	Directory for hook.jsonl.
capture_llm_transcript	bool	true	Exports OpenCode session transcripts.
transcript_dir	string	".git/ai-push-hooks/transcripts"	Transcript export directory.
summary_dir	string	".git/ai-push-hooks/summaries"	Per-run summary JSON directory.
print_llm_output	bool	false	Mirrors raw OpenCode JSON stream to stdout.

[workflow]

Key	Type	Required	Description
modules	array of strings	yes	Ordered module IDs to run. Must contain at least one module and each ID must exist under [modules].

[modules.<module_id>]

Key	Type	Required	Description
enabled	bool	no	Enables or disables that module. Default true.
steps	array of step tables	yes	Ordered workflow steps for the module. Must be non-empty.

[[modules.<module_id>.steps]]

Key	Type	Required	Applies to	Description
id	string	yes	all step types	Unique step identifier inside the module.
type	string	yes	all step types	One of: collect, llm, apply, exec, assert.
inputs	array of strings	no	non-collect steps	Artifact references from earlier steps.
output	string	yes	llm	Output artifact filename (often .json).
schema	string	no	llm	Validates parsed model output shape.
prompt	string	conditional	llm, apply	Highest-priority prompt source.
prompt_file	string	conditional	llm, apply	Repo-relative or absolute prompt file path.
fallback_prompt_id	string	conditional	llm, apply	Built-in prompt ID used when no higher source resolves.
collector	string	yes	collect	Collector handler ID.
allow_paths	array of strings	yes	apply	File glob allowlist for edits.
executor	string	yes	exec	Exec handler ID.
assertion	string	yes	assert	Assertion handler ID.
when_env	string	no	any step	Runs step only when env var parses as true.

llm and apply are promptable step types: at least one of prompt, prompt_file, or fallback_prompt_id must be set.

Supported handler and schema values

Collectors

Value	Purpose
docs_context	Collects docs-related context and diff artifacts.
beads_status_context	Collects branch/beads alignment context.
pr_context	Collects PR composition context.

LLM schemas

Value	Expected payload
string_array	JSON array of strings.
docs_issue_array	JSON array of issue objects with at least file and description.
beads_alignment_result	JSON object, optionally with commands string array.
pr_create_payload	JSON object for PR creation fields.

Exec handlers

Value	Purpose
beads_alignment	Runs non-interactive Beads commands and writes action report when needed.
gh_pr_create	Creates (or reuses) a GitHub PR via gh.

Assertion handlers

Value	Purpose
docs_apply_requires_manual_commit	Fails when docs were auto-edited and still need user review/commit.
beads_alignment_clean	Fails when Beads alignment reports unresolved work.

Built-in fallback prompt IDs

Value	Purpose
docs-query-basic	Generate doc search queries from diff.
docs-analysis-basic	Identify factual documentation drift.
docs-apply-basic	Apply minimal doc fixes within allowlist.
beads-plan-basic	Build Beads alignment command/report payload.
pr-compose-basic	Draft PR title/body/base/head payload.

Environment variable overrides

Boolean env parsing accepts: 1, true, yes, y, on and 0, false, no, n, off.

Env var	Effect
AI_PUSH_HOOKS_SKIP	If true, sets general.enabled = false.
AI_PUSH_HOOKS_ALLOW_PUSH_ON_ERROR	Overrides general.allow_push_on_error.
AI_PUSH_HOOKS_REQUIRE_CLEAN	Overrides general.require_clean_worktree.
AI_PUSH_HOOKS_ALLOW_DIRTY	If true, forces general.require_clean_worktree = false.
AI_PUSH_HOOKS_LOG_LEVEL	Overrides logging.level.
AI_PUSH_HOOKS_PRINT_LLM_OUTPUT	Overrides logging.print_llm_output.
AI_PUSH_HOOKS_MODEL	Overrides llm.model.
AI_PUSH_HOOKS_VARIANT	Overrides llm.variant.
AI_PUSH_HOOKS_TIMEOUT_SECONDS	Overrides llm.timeout_seconds (integer).

when_env is step-level and can point to any env var. A common example is AI_PUSH_HOOKS_CREATE_PR to gate PR creation steps.

Example: docs + PR with opt-in creation

[workflow]
modules = ["docs", "pr"]

[modules.docs]
enabled = true

[[modules.docs.steps]]
id = "collect"
type = "collect"
collector = "docs_context"

[[modules.docs.steps]]
id = "query"
type = "llm"
fallback_prompt_id = "docs-query-basic"
inputs = ["collect/push.diff", "collect/changed-files.txt"]
output = "queries.json"
schema = "string_array"

[[modules.docs.steps]]
id = "analyze"
type = "llm"
fallback_prompt_id = "docs-analysis-basic"
inputs = ["collect/push.diff", "collect/docs-context.txt", "query/queries.json", "collect/recent-commits.txt"]
output = "issues.json"
schema = "docs_issue_array"

[[modules.docs.steps]]
id = "apply"
type = "apply"
fallback_prompt_id = "docs-apply-basic"
inputs = ["collect/push.diff", "collect/docs-context.txt", "analyze/issues.json"]
allow_paths = ["README.md", "docs/**/*.md"]

[[modules.docs.steps]]
id = "assert"
type = "assert"
assertion = "docs_apply_requires_manual_commit"
inputs = ["apply/result.json"]

[modules.pr]
enabled = true

[[modules.pr.steps]]
id = "collect"
type = "collect"
collector = "pr_context"

[[modules.pr.steps]]
id = "compose"
type = "llm"
fallback_prompt_id = "pr-compose-basic"
inputs = ["collect/pr-context.txt", "collect/changed-files.txt", "collect/push.diff", "collect/commits.txt"]
output = "pr-draft.json"
schema = "pr_create_payload"

[[modules.pr.steps]]
id = "create"
type = "exec"
executor = "gh_pr_create"
when_env = "AI_PUSH_HOOKS_CREATE_PR"
inputs = ["compose/pr-draft.json"]