Fireworks
Fireworks exposes open-weight and routed models through an OpenAI-compatible API. OpenClaw includes a bundled Fireworks provider plugin that ships with two pre-cataloged Kimi models and accepts any Fireworks model or router id at runtime.
| Property | Value |
|---|---|
| Provider id | fireworks (alias: fireworks-ai) |
| Plugin | bundled, enabledByDefault: true |
| Auth env var | FIREWORKS_API_KEY |
| Onboarding flag | --auth-choice fireworks-api-key |
| Direct CLI flag | --fireworks-api-key <key> |
| API | OpenAI-compatible (openai-completions) |
| Base URL | https://api.fireworks.ai/inference/v1 |
| Default model | fireworks/accounts/fireworks/routers/kimi-k2p5-turbo |
| Default alias | Kimi K2.5 Turbo |
Getting started
Section titled “Getting started”Set the Fireworks API key
Terminal window openclaw onboard --auth-choice fireworks-api-keyTerminal window openclaw onboard --non-interactive \--auth-choice fireworks-api-key \--fireworks-api-key "$FIREWORKS_API_KEY"Terminal window export FIREWORKS_API_KEY=fw-...Onboarding stores the key against the
fireworksprovider in your auth profiles and sets the Fire Pass Kimi K2.5 Turbo router as the default model.Verify the model is available
Terminal window openclaw models list --provider fireworksThe list should include
Kimi K2.6andKimi K2.5 Turbo (Fire Pass). IfFIREWORKS_API_KEYis unresolved,openclaw models status --jsonreports the missing credential underauth.unusableProfiles.
Non-interactive setup
Section titled “Non-interactive setup”For scripted or CI installs, pass everything on the command line:
openclaw onboard --non-interactive \ --mode local \ --auth-choice fireworks-api-key \ --fireworks-api-key "$FIREWORKS_API_KEY" \ --skip-health \ --accept-riskBuilt-in catalog
Section titled “Built-in catalog”| Model ref | Name | Input | Context | Max output | Thinking |
|---|---|---|---|---|---|
fireworks/accounts/fireworks/models/kimi-k2p6 | Kimi K2.6 | text + image | 262,144 | 262,144 | Forced off |
fireworks/accounts/fireworks/routers/kimi-k2p5-turbo | Kimi K2.5 Turbo (Fire Pass) | text + image | 256,000 | 256,000 | Forced off (default) |
Custom Fireworks model ids
Section titled “Custom Fireworks model ids”OpenClaw accepts any Fireworks model or router id at runtime. Use the exact id shown by Fireworks and prefix it with fireworks/. Dynamic resolution clones the Fire Pass template (text + image input, OpenAI-compatible API, default cost zero) and disables thinking automatically when the id matches the Kimi pattern.
{ agents: { defaults: { model: { primary: "fireworks/accounts/fireworks/models/”, }, }, }, }
How model id prefixing works
Every Fireworks model ref in OpenClaw starts with fireworks/ followed by the exact id or router path from the Fireworks platform. For example:
- Router model:
fireworks/accounts/fireworks/routers/kimi-k2p5-turbo - Direct model: `fireworks/accounts/fireworks/models/
`
OpenClaw strips the `fireworks/` prefix when constructing the API request and sends the remaining path to the Fireworks endpoint as the OpenAI-compatible `model` field.Why thinking is forced off for Kimi
Fireworks K2.6 returns a 400 if the request carries reasoning_* parameters even though Kimi supports thinking through Moonshot’s own API. The bundled policy (extensions/fireworks/thinking-policy.ts) advertises only the off thinking level for Kimi model ids, so manual /think switches and provider-policy surfaces stay aligned with the runtime contract.
To use Kimi reasoning end-to-end, configure the Moonshot provider and route the same model through it.
Environment availability for the daemon
If the Gateway runs as a managed service (launchd, systemd, Docker), the Fireworks key must be visible to that process — not just to your interactive shell.
On macOS, openclaw gateway install already wires ~/.openclaw/.env into the LaunchAgent environment file. Re-run install (or openclaw doctor --fix) after rotating the key.
Related
Section titled “Related”Choosing providers, model refs, and failover behavior.
/think levels, provider policies, and routing reasoning-capable models.
Run Kimi with native thinking output through Moonshot’s own API.
General troubleshooting and FAQ.