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librefang-registry/providers/arcee-ai.toml
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Evan 85db9c8d78 feat(providers): add supports_thinking to thinking-capable models (#53)
* feat(providers): add supports_thinking field to thinking-capable models

Mark models that support extended thinking / reasoning with
supports_thinking = true so the dashboard can conditionally show
thinking toggles.

Providers updated: anthropic (8), codex-cli (7), gemini (6),
openai (3), qwen (2), deepseek (1). Schema updated accordingly.

* feat(providers): add supports_thinking to remaining thinking-capable models

Cover 19 additional providers: alibaba-coding-plan, allenai, arcee-ai,
fireworks, gemini-cli, groq, liquid, nvidia-nim, ollama, openai (codex),
openrouter, perplexity, qwen-code, replicate, sambanova, tngtech,
venice, vertex-ai, xai.

Total: 62 models across 24 providers now have supports_thinking = true.

* feat(providers): add supports_thinking to chutes, huggingface, together

Missed in prior commits: DeepSeek-R1 on chutes/huggingface/together,
Qwen3-235B on chutes. Total now 66 models across 27 providers.

* feat(providers): add supports_thinking to bedrock, claude-code, aider, moonshot, stepfun

- bedrock: all 5 Claude models
- claude-code: all 3 models (opus/sonnet/haiku wrappers)
- aider: aider/sonnet (Claude-backed)
- moonshot: kimi-k2.5 (reasoning mode)
- stepfun: step-1o-turbo-vision (reasoning model)

Total: 77 models across 32 providers.

* feat(providers): add supports_thinking to alibaba kimi-k2.5, openrouter claude-sonnet-4
2026-04-15 00:46:51 +09:00

80 lines
1.7 KiB
TOML

# arcee-ai — auto-generated from OpenRouter API
[provider]
id = "arcee-ai"
display_name = "Arcee Ai"
api_key_env = "ARCEE_API_KEY"
base_url = "https://api.arcee.ai/v1"
key_required = true
[[models]]
id = "coder-large"
display_name = "Arcee AI: Coder Large"
tier = "smart"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.5
output_cost_per_m = 0.8
supports_streaming = true
[[models]]
id = "maestro-reasoning"
display_name = "Arcee AI: Maestro Reasoning"
tier = "smart"
context_window = 131072
max_output_tokens = 32000
input_cost_per_m = 0.9
output_cost_per_m = 3.3
supports_streaming = true
supports_thinking = true
[[models]]
id = "spotlight"
display_name = "Arcee AI: Spotlight"
tier = "fast"
context_window = 131072
max_output_tokens = 65537
input_cost_per_m = 0.18
output_cost_per_m = 0.18
supports_streaming = true
[[models]]
id = "trinity-large-preview:free"
display_name = "Arcee AI: Trinity Large Preview (free)"
tier = "fast"
context_window = 131000
max_output_tokens = 16384
input_cost_per_m = 0.0
output_cost_per_m = 0.0
supports_streaming = true
[[models]]
id = "trinity-mini"
display_name = "Arcee AI: Trinity Mini"
tier = "fast"
context_window = 131072
max_output_tokens = 131072
input_cost_per_m = 0.045
output_cost_per_m = 0.15
supports_streaming = true
[[models]]
id = "trinity-mini:free"
display_name = "Arcee AI: Trinity Mini (free)"
tier = "fast"
context_window = 131072
max_output_tokens = 16384
input_cost_per_m = 0.0
output_cost_per_m = 0.0
supports_streaming = true
[[models]]
id = "virtuoso-large"
display_name = "Arcee AI: Virtuoso Large"
tier = "smart"
context_window = 131072
max_output_tokens = 64000
input_cost_per_m = 0.75
output_cost_per_m = 1.2
supports_streaming = true