freeride-gateway 0.4.0a4

Ollama for free cloud inference. Local OpenAI-compatible gateway routing across OpenRouter, Groq, NVIDIA NIM, Cloudflare Workers AI, HuggingFace, Cerebras, and your own Ollama with automatic failover.

FreeRide

Ollama for free cloud inference.

A local OpenAI-compatible gateway that routes across every free-tier provider you have a key for — OpenRouter, Groq, NVIDIA NIM, Cloudflare Workers AI, HuggingFace, Cerebras, and your own Ollama. Hits a rate limit, fails over. Your agent never knows.

Install

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"

Then:

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

Point any OpenAI-shaped client at http://localhost:11343/v1 with OPENAI_API_KEY=any. That's it.

The installer bootstraps uv if missing, then uv tool installs freeride-gateway. Binary lands at ~/.local/bin/freeride (Linux/macOS) or %USERPROFILE%\.local\bin\freeride.exe (Windows). Same shape as the bun.sh and astral.sh installers.

Or install manually

# uv (what the installer does)
uv tool install --prerelease=allow freeride-gateway

# pipx
pipx install --pip-args=--pre freeride-gateway

# pip + venv (the venv only — re-activate per shell)
python3 -m venv .venv && source .venv/bin/activate
pip install --pre freeride-gateway

# from source
git clone https://github.com/Shaivpidadi/FreeRideV3 && cd FreeRideV3
pip install -e .

PyPI distribution: freeride-gateway. CLI: freeride. Python ≥ 3.10.

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

Provider	Where	Env var
OpenRouter	https://openrouter.ai/keys	OPENROUTER_API_KEY
Groq	https://console.groq.com/keys	GROQ_API_KEY
NVIDIA NIM	https://build.nvidia.com	NVIDIA_API_KEY
Cloudflare Workers AI	https://dash.cloudflare.com/profile/api-tokens	CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID
HuggingFace	https://huggingface.co/settings/tokens	HF_TOKEN
Cerebras	https://cloud.cerebras.ai/platform	CEREBRAS_API_KEY
Ollama (local)	https://ollama.com/download	OLLAMA_BASE_URL=http://localhost:11434

Set whichever you have, then freeride serve. The gateway picks them up and rotates between them.

Or use the wizard: freeride init writes ~/.freeride/.env for you. The gateway auto-loads that file at startup — no manual source needed.

Wire your agent

The fastest way is a binder:

freeride bind aider       # writes ~/.aider.conf.yml
freeride bind continue    # writes ~/.continue/config.yaml
freeride bind hermes      # writes ~/.hermes/config.yaml
freeride bind openclaw    # writes ~/.openclaw/openclaw.json

Or set the OpenAI vars yourself:

export OPENAI_API_BASE=http://localhost:11343/v1
export OPENAI_API_KEY=any

Anything OpenAI-shaped works. Tested with the openai-python SDK, Aider, Continue, Hermes, OpenClaw.

Multi-key rotation

Got several free keys for the same provider? Pass them as a JSON array:

export OPENROUTER_API_KEY='["sk-or-v1-key1","sk-or-v1-key2","sk-or-v1-key3"]'

When key 1 hits 429 it goes on cooldown for 120s; key 2 takes the next request. Cooldowns persist across restarts (~/.freeride/cooldown.json).

How failover works

Per request, FreeRide walks (provider, key) pairs in order:

• RATE_LIMIT or AUTH → mark this key cooling, try the next key.
• MODEL_NOT_FOUND → skip this provider, try the next provider.
• Anything 5xx-ish → next pair.
• First successful response → ship it; stamp X-FreeRide-Provider header (or _freeride_provider field on JSON) so you can tell who actually served it.

Streaming uses buffer-first-chunk failover: hold the first SSE event until upstream confirms the stream is real. If it fails before the first chunk, retry. After the first chunk has shipped, mid-stream errors propagate (rare; documented).

Telemetry

On by default. Hourly POST to https://telemetry.free-ride.xyz/v1/beacon:

{
  "installation_id": "random-uuid-v4",
  "version": "0.3.0",
  "os": "darwin",
  "tokens_served": 412034,
  "request_count": 187,
  "providers_active": ["openrouter", "groq"],
  "uptime_hours": 8
}

Prompts, completions, model IDs, API keys, hostnames, IPs — never sent. The Worker doesn't log cf-connecting-ip. The first time you run any freeride command a banner prints the exact payload.

freeride telemetry off    # turn it off
freeride telemetry        # show what would be sent

Embeddings

Same endpoint shape as OpenAI's /v1/embeddings. Failover across the 4 providers that support embeddings (Groq doesn't):

curl http://localhost:11343/v1/embeddings \
  -H 'Content-Type: application/json' \
  -d '{"model": "text-embedding-3-small", "input": "hello world"}'

The same X-FreeRide-Provider header tells you which provider served the embedding. Same multi-key rotation, same per-provider failover.

See what FreeRide is doing

freeride watch

Tails live failover events from a running gateway. Every request, every provider attempt, every rate-limit, every retry. Useful for seeing failover happen in real time, debugging "is my agent actually using FreeRide", or just demoing.

[14:23:01.412] req_a3f8e2c1  ▶ request model=openrouter/free stream
[14:23:01.421] req_a3f8e2c1  → openrouter[k0] openrouter/free
[14:23:01.833] req_a3f8e2c1  ← openrouter[k0] 412ms RATE_LIMIT ✗ (retry-after 47s)
[14:23:01.835] req_a3f8e2c1  → groq[k0] openrouter/free
[14:23:02.153] req_a3f8e2c1  ← groq[k0] 318ms OK ✓ first-chunk
[14:23:02.154] req_a3f8e2c1  ■ complete via groq

Events are written to ~/.freeride/events.jsonl. Opt out with FREERIDE_EVENTS=0 if you don't want them. File caps at 1 MiB with single-backup rotation.

Commands

freeride serve                  start the gateway
freeride bind <agent>           write gateway URL into agent config
freeride watch                  tail live failover events
freeride bench                  per-provider latency comparison (needs serve running)
freeride reload                 refresh provider registry from env vars (no restart)
freeride providers              live provider health from a running gateway
freeride doctor                 diagnose common setup issues (env vars, PATH, port)
freeride upgrade                bump installed package to latest PyPI release
freeride init                   interactive setup wizard — prompts for keys, writes ~/.freeride/.env
freeride keys                   show which provider keys are available vs cooling
freeride telemetry [on|off]     manage telemetry
freeride list                   list available free models
freeride status                 show OpenClaw config + cache age (v2)
freeride auto                   auto-configure OpenClaw (v2)
freeride rotate                 swap primary if it fails (v2)
freeride-watcher                background daemon that rotates on failure

freeride bench example output:

$ freeride bench
Benchmarking 5 providers, 3 requests each via http://localhost:11343/v1...

provider              ok    p50      p95      tok/s
─────────────────────────────────────────────────────
groq                  3/3   142ms    287ms    98
cloudflare_wai        3/3   284ms    410ms    81
nvidia_nim            3/3   389ms    502ms    72
openrouter            3/3   412ms    721ms    63
huggingface           2/3   612ms    1840ms   41

Fastest: groq (142ms p50)

The v2 commands keep working for existing OpenClaw users.

Providers

Provider	Status	Notes
OpenRouter	shipped	full surface — chat, streaming, tools, vision, structured outputs
NVIDIA NIM	shipped	curated free-model allowlist; NVIDIA_NIM_FREE_MODELS_OVERRIDE to expand
Groq	shipped	hardcoded allowlist (Llama 3.x, Gemma 2, Mixtral, DeepSeek-R1-distill); GROQ_FREE_MODELS_OVERRIDE to expand
Cloudflare Workers AI	shipped	curated allowlist of cheap-per-neuron chat models; needs CLOUDFLARE_ACCOUNT_ID
HuggingFace Inference	shipped	full HF router catalog; budget governs access ($0.10/mo Free, $2/mo PRO)
Cerebras	shipped	fastest Llama / Qwen inference; chat-only (no embeddings). CEREBRAS_FREE_MODELS_OVERRIDE to restrict catalog.
Ollama (local)	shipped	local-only; mix with remote providers in the same failover chain. Set OLLAMA_BASE_URL to opt in.

Adding a sixth: implement freeride.core.provider.Provider (api_version=1) in freeride/providers/<name>.py, register it in the conformance suite, done. See CONTRIBUTING.md.

Agents

Agent	freeride bind	Hot reload
OpenClaw	yes	needs restart
Aider	yes (--scope home/cwd/git)	needs restart
Continue	yes	yes
Hermes (NousResearch/hermes-agent)	yes	needs restart

Or anything else: OPENAI_API_BASE=http://localhost:11343/v1 + OPENAI_API_KEY=any.

Claude Code skill

If you use Claude Code, install the FreeRide skill so Claude knows how to detect, wire, and troubleshoot the gateway:

/plugin install https://github.com/Shaivpidadi/FreeRideV3

After install, Claude auto-invokes the skill when you mention FreeRide, have it running on localhost:11343, or ask about routing across free-tier providers. See skills/README.md for manual-install instructions.

Docs

• docs/providers/SURVEY.md — Provider Protocol fit per provider (auth shape, free-tier semantics, error mapping)
• docs/providers/nvidia_nim.md — NVIDIA NIM specifics (free-model allowlist, 403=AUTH quirk)
• docs/agent-binders.md — per-agent bind reference (config locations, hot-reload behavior, edge cases)
• docs/hermes.md — Hermes identification + bind plan
• CONTRIBUTING.md — adding a provider or binder

License

MIT.