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Pi Monorepo

A TypeScript monorepo that bundles a unified multi-provider LLM API, agent runtime, coding-agent CLI, plus TUI/Web UI and deployment helpers.
14.1kTypeScriptMIT
ai-agentllmtypescriptclimonorepo

What is it?

Pi Monorepo turns agent building into composable building blocks: a provider-agnostic LLM API for model switching, a tool-calling runtime for stateful workflows, and a set of CLIs/UIs plus deployment helpers. Teams can ship internal assistants, automation, and chat interfaces from one TypeScript workspace with consistent scripts, configs, and packaging.

Pain Points vs Innovation

✕Traditional Pain Points✓Innovative Solutions
Provider APIs differ in auth, streaming, and payloads, making switching expensiveA unified multi-provider LLM API decouples model choice from app logic
Agent runtime, tool calling, and UI layers often live in separate repos and release cyclesOne monorepo packages runtime, CLI, TUI/Web UI, and ops tooling with consistent build/check scripts

Architecture Deep Dive

Provider-agnostic LLM API
Normalizes auth, model naming, streaming, and error semantics across providers so app code stays focused on messages, tools, and outputs; switching vendors becomes a config change.
Tool-calling agent runtime
Implements a stateful loop where the model selects tools, tools execute, results are fed back, and reasoning continues; this keeps workflows observable and tools pluggable.
CLI/TUI/Web UI + ops tooling
Ships interactive entry points (coding-agent CLI, TUI, Web UI) alongside operational utilities (e.g., vLLM pods management) in one workspace with shared build/check pipelines.

Deployment Guide

1. Clone and install dependencies (npm workspaces)

bash
1git clone https://github.com/badlogic/pi-mono.git && cd pi-mono && npm install

2. Build all packages and run checks

bash
1npm run build && npm run check

3. Run tests or launch from sources (some tests require LLM API keys)

bash
1./.test.sh  # or ./.pi-test.sh

Use Cases

Core SceneTarget AudienceSolutionOutcome
Terminal dev assistant for engineering teamsengineering teamsship code Q&A, changes, and task breakdown via a coding-agent CLI/TUIless context switching and faster review-to-fix cycles
Multi-model abstraction layer for product platformsAI platform teamsuse one LLM API to hide provider differencesswitch models by cost/compliance/quality without rewriting app logic
Inference delivery tooling for infra teamsinfrastructure teamsmanage vLLM deployments with pods toolingdeliver internal inference endpoints faster with more standardized ops

Limitations & Gotchas

Limitations & Gotchas
  • End-to-end LLM features typically require provider API keys; CI/tests may skip key-dependent cases.
  • The monorepo is centered on TypeScript/Node; Python/Go stacks may need extra integration and release boundaries.

Frequently Asked Questions

Is this monorepo ready for production by default?▾
Treat it as a composable toolkit layer. For production, add your own platform concerns: secrets management, authZ boundaries, logging/audit, and integration tests for critical flows.
How do I avoid locking into one LLM vendor?▾
Keep app logic dependent only on the unified message/tool abstractions, push model choice and routing into config, and maintain repeatable benchmarks to switch by cost/quality.
Why do some tests get skipped locally?▾
Some tests depend on external LLM API keys or network access. Run build/check and keyless tests first, then add keys to enable end-to-end cases.
View on GitHub

Project Metrics

Stars14.1 k
LanguageTypeScript
LicenseMIT
Deploy DifficultyMedium

Table of Contents

  1. 01What is it?
  2. 02Pain Points vs Innovation
  3. 03Architecture Deep Dive
  4. 04Deployment Guide
  5. 05Use Cases
  6. 06Limitations & Gotchas
  7. 07Frequently Asked Questions

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