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Add a bundled Arcee AI provider plugin with ARCEEAI_API_KEY onboarding, Trinity model catalog (mini, large-preview, large-thinking), and OpenAI-compatible API support. - Trinity Large Thinking: 256K context, reasoning enabled - Trinity Large Preview: 128K context, general-purpose - Trinity Mini 26B: 128K context, fast and cost-efficient
2.3 KiB
2.3 KiB
title, summary, read_when
| title | summary | read_when | ||
|---|---|---|---|---|
| Arcee AI | Arcee AI setup (auth + model selection) |
|
Arcee AI
Arcee AI provides access to the Trinity family of mixture-of-experts models through an OpenAI-compatible API. All Trinity models are Apache 2.0 licensed.
- Provider:
arcee - Auth:
ARCEEAI_API_KEY - API: OpenAI-compatible
- Base URL:
https://api.arcee.ai/api/v1
Quick start
-
Get an API key from the Arcee platform dashboard.
-
Set the API key (recommended: store it for the Gateway):
openclaw onboard --auth-choice arceeai-api-key
- Set a default model:
{
agents: {
defaults: {
model: { primary: "arcee/trinity-large-thinking" },
},
},
}
Non-interactive example
openclaw onboard --non-interactive \
--mode local \
--auth-choice arceeai-api-key \
--arceeai-api-key "$ARCEEAI_API_KEY"
This will set arcee/trinity-large-thinking as the default model.
Environment note
If the Gateway runs as a daemon (launchd/systemd), make sure ARCEEAI_API_KEY
is available to that process (for example, in ~/.openclaw/.env or via
env.shellEnv).
Built-in catalog
OpenClaw currently ships this bundled Arcee catalog:
| Model ref | Name | Input | Context | Cost (in/out per 1M) | Notes |
|---|---|---|---|---|---|
arcee/trinity-large-thinking |
Trinity Large Thinking | text | 256K | $0.25 / $0.90 | Default model; reasoning enabled |
arcee/trinity-large-preview |
Trinity Large Preview | text | 128K | $0.25 / $1.00 | General-purpose; 400B params, 13B active |
arcee/trinity-mini |
Trinity Mini 26B | text | 128K | $0.045 / $0.15 | Fast and cost-efficient; function calling |
The onboarding preset sets arcee/trinity-large-thinking as the default model.
Supported features
- Streaming
- Tool use / function calling
- Structured output (JSON mode and JSON schema)
- Extended thinking (Trinity Large Thinking)