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pi-autocontext

v0.8.0

Published

autocontext extension for Pi coding agent — iterative strategy generation, LLM judging, and evaluation tools

Readme

pi-autocontext

autocontext extension for Pi coding agent — iterative strategy generation, LLM judging, and evaluation tools.

Install

pi install npm:[email protected]

Current package note: [email protected] is on a separate Pi extension line and depends on autoctx@^0.8.0, matching the current Python and TypeScript 0.8 runtime line.

Or add to your project's .pi/settings.json:

{
  "packages": ["npm:[email protected]"]
}

What You Get

Tools

| Tool | Description | |------|-------------| | autocontext_judge | Evaluate agent output against a rubric using LLM-based judging | | autocontext_improve | Run multi-round improvement loop with judge feedback | | autocontext_status | Check status of autocontext runs and tasks | | autocontext_scenarios | List available evaluation scenarios and families | | autocontext_queue | Enqueue a task for background evaluation | | autocontext_runtime_snapshot | Inspect run artifacts, package provenance, compaction ledger entries, session branch lineage, and recent events |

Skills

  • /skill:autocontext — Full instructions for using autocontext tools, running evaluations, and interpreting results

Prompt Templates

  • /autoctx-status — Quick project status check

Usage

Once installed, the tools are available to the LLM automatically. You can also invoke them directly:

> Evaluate the quality of this code against our coding standards rubric
> Run an improvement loop on this draft with max 5 rounds
> Show me the status of recent autocontext runs
> Inspect the runtime snapshot for run-123 and session sess-123
> List available evaluation scenarios

Or use the skill for guided workflows:

/skill:autocontext

Requirements

  • Pi coding agent
  • An LLM provider configured in Pi (Anthropic, OpenAI, etc.)
  • Optional: autoctx CLI for standalone usage outside Pi

Configuration

The extension auto-discovers your autocontext configuration:

  • Provider: Uses Pi's configured LLM provider
  • Database: Looks for runs/autocontext.sqlite3 or AUTOCONTEXT_DB_PATH env var
  • Events: Reads runs/events.ndjson or AUTOCONTEXT_EVENT_STREAM_PATH for recent runtime events
  • Scenarios: Discovers registered scenarios from the autoctx package

Links