Files
librefang-registry/providers/allenai.toml
T
Evan 2fa48bfdcb fix: clean up OpenRouter-generated provider configs (#37)
- Merge unique models from duplicate providers into their hand-written
  counterparts and remove the duplicates:
  - alibaba (tongyi-deepresearch) → qwen
  - amazon (nova-2-lite, nova-micro, nova-premier) → bedrock
  - bytedance (ui-tars) → volcengine
  - nvidia (nemotron-3-nano, nemotron-3-super, etc.) → nvidia-nim
  - rekaai (reka-flash-3) → reka
- Set correct official API base_url for providers with public APIs:
  arcee-ai, inception, morph, reka, upstage
- Set key_required=false for 20 providers only accessible through
  hosting platforms (no public API)
- Update sync-pricing.py with SKIP_DUPLICATES, PROVIDER_API mapping,
  and default key_required=false for future auto-generated providers
2026-04-02 23:30:56 +08:00

49 lines
1.0 KiB
TOML

# allenai — auto-generated from OpenRouter API
[provider]
id = "allenai"
display_name = "Allenai"
api_key_env = "ALLENAI_API_KEY"
base_url = ""
key_required = false
[[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
[[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