aicoolies logo
new-api logo

New API

Unified LLM API gateway and proxy hub

Share
open-sourceOpen Source
Visit Website →

New API is an open-source multi-tenant AI gateway that aggregates and distributes LLM API requests across providers like OpenAI, Claude, and Gemini through a unified proxy interface. It cross-converts requests into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats, with built-in channel management, quota control, token-based authentication, and billing capabilities. Deploy via Docker with SQLite or MySQL for centralized model management.

New API builds on the One API project to create a comprehensive multi-tenant gateway for routing LLM requests across providers. Organizations running multiple AI models from different vendors often face the challenge of managing separate API keys, rate limits, billing, and request formats for each provider. New API centralizes all of this behind a single endpoint that automatically translates requests into the target provider's format, whether that is OpenAI, Anthropic Claude, Google Gemini, or dozens of other services.

The gateway includes a channel management system where administrators define upstream API connections with priority, weight, and failover rules. Token-based authentication controls user access and spending limits, while the built-in billing engine tracks per-request costs across all providers in a unified dashboard. Request routing can be configured for load balancing, automatic failover when a provider returns errors, or model-specific channel pinning to ensure consistent behavior for production workloads.

Deployment is straightforward with Docker Compose, using either SQLite for single-node setups or MySQL for multi-instance clusters. The web-based admin panel provides real-time visibility into request volumes, error rates, token consumption, and per-user spending. For teams and platforms that need to offer LLM access to internal users or external customers while maintaining cost control and provider flexibility, New API provides the infrastructure layer that eliminates per-provider integration work.

Pricing

Free and open source under AGPLv3

Platforms

Docker, self-hosted; Go backend

Categories

Tags

Use Cases

Alternatives

Related Tools

Traceway logo

Traceway

OpenTelemetry-native observability with AI tracing, logs, traces, metrics, and session replay — self-hosted in 90 seconds.

Traceway is an open-source, OpenTelemetry-native observability platform that combines logs, traces, metrics, exceptions, session replay, and AI tracing in a single self-hosted system. MIT licensed with no open-core restrictions, it deploys in 90 seconds via Docker Compose and accepts OTLP/HTTP from any OTel SDK without a Collector or per-language vendor SDK.

open-sourceOpen Source
Judgeval logo

Judgeval

Open-source post-building layer for agents — tracing, evals, and online monitoring

Judgeval is the open-source post-building layer for AI agents from Judgment Labs, providing OpenTelemetry-based tracing, hosted and custom evaluation scorers, and online behavior monitoring for LLM-powered applications. Instrument any function with a single decorator, score live production traffic against faithfulness and instruction-adherence checks, and feed real-world failures back into reinforcement learning or supervised fine-tuning loops.

open-sourceOpen Source
TraceRoot logo

TraceRoot

Open-source observability and self-healing layer for AI agents

TraceRoot is a YC S25-backed open-source observability platform purpose-built for AI agents and LLM apps. It combines OpenTelemetry-compatible tracing with an agentic debugging runtime that reads your source code, correlates failures with recent commits, and proposes fix PRs automatically. BYOK support spans seven LLM providers; the entire stack runs self-hosted via Docker Compose, with TraceRoot Cloud available for managed deployments.

open-sourceOpen Source
OpenSRE logo

OpenSRE

Open-source toolkit for building AI SRE incident response agents

OpenSRE is an open-source Python toolkit from Tracer Cloud for building AI SRE agents that investigate and respond to production incidents. It ships with connectors to Prometheus, Grafana, Kubernetes and incident platforms, plus a simulation harness that replays past incidents so teams can benchmark agent accuracy before trusting it on live pager rotations.

open-sourceOpen Source
Evolver logo

Evolver

Self-evolution engine for AI agents with auditable updates

Evolver is an open-source self-evolution engine for AI agents that turns run logs into auditable, reviewable updates via its Genome Evolution Protocol. Instead of ad hoc prompt tweaking, teams collect traces and Evolver proposes versioned diffs to prompts, tools and workflows that engineers can approve, reject or roll back like code.

open-sourceOpen Source
CodeBurn logo

CodeBurn

See where your AI coding tokens actually go

Open-source TUI dashboard and CLI that shows where your AI coding tokens actually go, broken down by task type, tool, model, MCP server, and project. CodeBurn reads local session data directly from Claude Code, Codex, Cursor, OpenCode, Pi, and GitHub Copilot — no wrapper, proxy, or API keys — and layers on one-shot success rates so you can see whether the AI nails work first try or burns budget on edit/test/fix retries. Ships with a macOS menu bar widget and CSV/JSON export.

freeOpen Source