Files
librefang-registry/providers/allenai.toml
T
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

51 lines
1.1 KiB
TOML

# allenai — auto-generated from OpenRouter API
[provider]
id = "allenai"
display_name = "Allenai"
api_key_env = "OPENROUTER_API_KEY"
base_url = "https://openrouter.ai/api/v1"
key_required = true
[[models]]
id = "olmo-2-0325-32b-instruct"
display_name = "AllenAI: Olmo 2 32B Instruct"
tier = "fast"
context_window = 128000
max_output_tokens = 16384
input_cost_per_m = 0.05
output_cost_per_m = 0.2
supports_streaming = true
[[models]]
id = "olmo-3-32b-think"
display_name = "AllenAI: Olmo 3 32B Think"
tier = "fast"
context_window = 65536
max_output_tokens = 65536
input_cost_per_m = 0.15
output_cost_per_m = 0.5
supports_streaming = true
supports_thinking = true
[[models]]
id = "olmo-3.1-32b-instruct"
display_name = "AllenAI: Olmo 3.1 32B Instruct"
tier = "fast"
context_window = 65536
max_output_tokens = 16384
input_cost_per_m = 0.2
output_cost_per_m = 0.6
supports_streaming = true
[[models]]
id = "olmo-3.1-32b-think"
display_name = "AllenAI: Olmo 3.1 32B Think"
tier = "fast"
context_window = 65536
max_output_tokens = 65536
input_cost_per_m = 0.15
output_cost_per_m = 0.5
supports_streaming = true
supports_thinking = true