The OpenAI-compatible gateway for every free-tier provider.

One local endpoint that fans out across OpenRouter, Groq, NVIDIA NIM, HuggingFace, Cerebras, Cloudflare Workers AI, and your own Ollama. Hit a rate limit, fail over to the next provider. Your agent never knows.

Also wraps Claude Code, OpenAI Codex, and Google Gemini CLI — run all three without paying any of their vendors.

102M+ tokens served in 35 days. $0 spent. Routed through community free-tier keys via this gateway. Daily traffic: free-ride.xyz/models

curl -sSL https://api.free-ride.xyz/install.sh | sh
freeride run claude    # or: freeride run codex / freeride run gemini

That's it. No accounts, no subscriptions, no FreeRide cloud. Local-first, BYO keys, your machine talks to providers directly.

macOS / Linux:

curl -sSL https://api.free-ride.xyz/install.sh | sh

Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://api.free-ride.xyz/install.ps1 | iex"

The installer picks up uv, then pipx, then plain pip — whichever is on your system. Or install from source.

freeride init           # interactive — collects keys, writes ~/.freeride/.env
freeride serve          # gateway listens on localhost:11343

Get keys (any one is enough; more = better failover):

Three of the major coding CLIs ship a freeride run wrapper that works with no per-vendor key and no login. The gateway translates between each CLI's native wire protocol and our routing layer; you get the polished agent UX of each CLI, paid for entirely by free-tier providers.

freeride run claude

Inside the session, switch routing per request via /model:

Full guide: docs/agents/claude-code.md.

freeride run codex

Whatever model the CLI picks (gpt-5-codex, gpt-5, etc.) is routed to a free upstream provider. The gateway translates the Responses-API wire format (with full SSE event protocol — response.output_item.added → output_text.delta → output_item.done → response.completed) so the CLI parses everything natively.

Note: codex uses bubblewrap for shell-tool sandboxing; on systems without it, file/shell tool calls fail (the model still works). Full guide: docs/agents/codex.md.

freeride run gemini

Any gemini-* model name routes to a free upstream provider. Translator handles Google's {contents, tools, generationConfig} shape both directions. Full guide: docs/agents/gemini.md.

# Aider / Continue.dev / hermes / your-own-tool — anything that speaks OpenAI:
freeride bind aider
freeride bind continue
# or just point it at the gateway directly:
OPENAI_API_BASE=http://localhost:11343/v1
OPENAI_API_KEY=any-string-here

Per-request the chain is (provider, key), sorted by recent health:

1. Try the head pair.
2. RATE_LIMIT or AUTH error → mark the key as cooling, try the next key on the same provider.
3. MODEL_NOT_FOUND or QUOTA_EXHAUSTED → skip to the next provider.
4. 5xx / TIMEOUT → next pair.
5. First successful response — stamp X-FreeRide-Provider + X-FreeRide-Request-Id headers and ship.

If every pair fails, you get a structured 503 with a per-provider breakdown so debugging is one log line, not five round-trips. Mid-stream errors after the first chunk shipped are logged but don't break the client (we can't un-ship bytes).

Smart routing for model: "auto": the resolver scores every free model in the catalog by health × popularity (from the public models leaderboard) and picks the best one. Run freeride audit-models once after install to cache health probes locally so the first real request isn't a cold start.

Deeper: docs/architecture/failover.md.

Adding a new provider: implement freeride.core.provider.Provider in freeride/providers/<name>.py, register it in the conformance suite. See CONTRIBUTING.md.

Provide more than one key per provider with a numbered suffix:

OPENROUTER_API_KEY=sk-or-v1-aaa     # primary
OPENROUTER_API_KEY_2=sk-or-v1-bbb
OPENROUTER_API_KEY_3=sk-or-v1-ccc

The router tries them in health order. A 429 on one key cools it for the next 60s and rotates to the sibling key — no provider switch needed. On startup freeride keys shows which keys are available vs cooling.

freeride doctor                # static checks: keys, ports, /etc/hosts, common gotchas
freeride doctor --claude-code  # the same + Claude-Code-specific probes
freeride audit-models          # probe every free model on every key; cache the results
freeride bench                 # measure p50/p95/tok-s per provider

Tail live events:

tail -f ~/.freeride/events.jsonl

Each line is a JSON event: routing decisions, provider attempts, response statuses, mid-stream errors. Same schema the marketing site reads to render the live token counter and provider leaderboard.

A small beacon ships hourly with counts only: tokens served, request count, active providers, uptime hours, OS, version, and a per-install UUID. Never sent: prompts, completions, model IDs, API keys, hostname, IP.

freeride telemetry        # audit what the next beacon would post
freeride telemetry off    # opt out

The aggregate is what powers free-ride.xyz/models. Default on; explicit disclosure banner prints on first run.

freeride init           interactive setup wizard — prompts for keys, writes ~/.freeride/.env
freeride serve          start the gateway on :11343
freeride run <cli>      wrap a CLI (claude / codex / gemini / anything) — points it at the gateway
freeride bind <agent>   write the agent's config so it uses the gateway permanently
freeride doctor         pre-flight checks: keys, ports, hosts file, common gotchas
freeride keys           which provider keys are available vs cooling
freeride audit-models   probe every free model; cache health locally
freeride bench          measure p50/p95/tok-s per provider
freeride list           list available free models
freeride telemetry      manage the hourly aggregate beacon

• Agents
  • docs/agents/claude-code.md — Claude Code setup, /model modes, troubleshooting
  • docs/agents/codex.md — OpenAI Codex setup, bwrap notes, model selection
  • docs/agents/gemini.md — Google Gemini CLI setup, auth flow, model selection
  • docs/agents/binders.md — Aider, Continue, OpenClaw — per-agent freeride bind reference
  • docs/agents/hermes.md — NousResearch Hermes agent integration
• Providers
  • docs/providers/SURVEY.md — per-provider fit (auth, free-tier semantics, error mapping)
  • docs/providers/nvidia_nim.md — NVIDIA NIM specifics
• Architecture
  • docs/architecture/failover.md — failover chain, cooldown, health tracking
  • docs/architecture/translators.md — how the Anthropic / Google / OpenAI-Responses translators work
• Other
  • CONTRIBUTING.md — adding a provider, a CLI wrapper, or a binder
  • SECURITY.md — reporting vulnerabilities

MIT.