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librefang-registry/providers/openai.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

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# OpenAI — https://openai.com
# Models: 18 (including 2 Codex variants)
[provider]
id = "openai"
display_name = "OpenAI"
api_key_env = "OPENAI_API_KEY"
base_url = "https://api.openai.com/v1"
key_required = true
media_capabilities = ["image_generation", "text_to_speech"]
[[models]]
id = "gpt-4o"
display_name = "GPT-4o"
tier = "smart"
context_window = 128000
max_output_tokens = 16384
input_cost_per_m = 2.50
output_cost_per_m = 10.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = ["gpt4", "gpt4o"]
[[models]]
id = "gpt-4o-mini"
display_name = "GPT-4o Mini"
tier = "fast"
context_window = 128000
max_output_tokens = 16384
input_cost_per_m = 0.15
output_cost_per_m = 0.60
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = ["gpt4-mini"]
[[models]]
id = "gpt-4.1"
display_name = "GPT-4.1"
tier = "frontier"
context_window = 1047576
max_output_tokens = 32768
input_cost_per_m = 2.00
output_cost_per_m = 8.00
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
[[models]]
id = "gpt-4.1-mini"
display_name = "GPT-4.1 Mini"
tier = "balanced"
context_window = 1047576
max_output_tokens = 32768
input_cost_per_m = 0.40
output_cost_per_m = 1.60
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
[[models]]
id = "gpt-4.1-nano"
display_name = "GPT-4.1 Nano"
tier = "fast"
context_window = 1047576
max_output_tokens = 32768
input_cost_per_m = 0.10
output_cost_per_m = 0.40
supports_tools = true
supports_vision = false
supports_streaming = true
aliases = []
[[models]]
id = "o3"
display_name = "o3"
tier = "frontier"
context_window = 200000
max_output_tokens = 100000
input_cost_per_m = 2.0
output_cost_per_m = 8.0
supports_tools = true
supports_vision = true
supports_streaming = true
supports_thinking = true
aliases = []
[[models]]
id = "o3-mini"
display_name = "o3-mini"
tier = "smart"
context_window = 200000
max_output_tokens = 100000
input_cost_per_m = 1.10
output_cost_per_m = 4.40
supports_tools = true
supports_vision = false
supports_streaming = true
supports_thinking = true
aliases = []
[[models]]
id = "o4-mini"
display_name = "o4-mini"
tier = "smart"
context_window = 200000
max_output_tokens = 100000
input_cost_per_m = 1.1
output_cost_per_m = 4.4
supports_tools = true
supports_vision = true
supports_streaming = true
supports_thinking = true
aliases = []
[[models]]
id = "gpt-4-turbo"
display_name = "GPT-4 Turbo"
tier = "smart"
context_window = 128000
max_output_tokens = 4096
input_cost_per_m = 10.00
output_cost_per_m = 30.00
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
[[models]]
id = "gpt-3.5-turbo"
display_name = "GPT-3.5 Turbo"
tier = "fast"
context_window = 16385
max_output_tokens = 4096
input_cost_per_m = 0.5
output_cost_per_m = 1.5
supports_tools = true
supports_vision = false
supports_streaming = true
aliases = []
[[models]]
id = "gpt-5"
display_name = "GPT-5"
tier = "frontier"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 1.25
output_cost_per_m = 10.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
[[models]]
id = "gpt-5-mini"
display_name = "GPT-5 Mini"
tier = "balanced"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 0.25
output_cost_per_m = 2.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = ["gpt5-mini"]
[[models]]
id = "gpt-5-nano"
display_name = "GPT-5 Nano"
tier = "fast"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 0.05
output_cost_per_m = 0.40
supports_tools = true
supports_vision = false
supports_streaming = true
aliases = []
[[models]]
id = "gpt-5.1"
display_name = "GPT-5.1"
tier = "frontier"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 1.25
output_cost_per_m = 10.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
[[models]]
id = "gpt-5.2"
display_name = "GPT-5.2"
tier = "frontier"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 1.75
output_cost_per_m = 14.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = ["gpt5"]
[[models]]
id = "gpt-5.2-pro"
display_name = "GPT-5.2 Pro"
tier = "frontier"
context_window = 400000
max_output_tokens = 128000
input_cost_per_m = 21.0
output_cost_per_m = 168.0
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = []
# Codex variants (same OpenAI driver & API key)
[[models]]
id = "codex/gpt-4.1"
display_name = "GPT-4.1 (Codex)"
tier = "frontier"
context_window = 1047576
max_output_tokens = 32768
input_cost_per_m = 2.00
output_cost_per_m = 8.00
supports_tools = true
supports_vision = true
supports_streaming = true
aliases = ["codex", "codex-4.1"]
[[models]]
id = "codex/o4-mini"
display_name = "o4-mini (Codex)"
tier = "smart"
context_window = 200000
max_output_tokens = 100000
input_cost_per_m = 1.10
output_cost_per_m = 4.40
supports_tools = true
supports_vision = true
supports_streaming = true
supports_thinking = true
aliases = ["codex-o4"]
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