Files
librefang-registry/providers/liquid.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

59 lines
1.2 KiB
TOML

# liquid — auto-generated from OpenRouter API
[provider]
id = "liquid"
display_name = "Liquid"
api_key_env = "LIQUID_API_KEY"
base_url = ""
key_required = false
[[models]]
id = "lfm-2-24b-a2b"
display_name = "LiquidAI: LFM2-24B-A2B"
tier = "fast"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.03
output_cost_per_m = 0.12
supports_streaming = true
[[models]]
id = "lfm-2.2-6b"
display_name = "LiquidAI: LFM2-2.6B"
tier = "fast"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.01
output_cost_per_m = 0.02
supports_streaming = true
[[models]]
id = "lfm-2.5-1.2b-instruct:free"
display_name = "LiquidAI: LFM2.5-1.2B-Instruct (free)"
tier = "fast"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.0
output_cost_per_m = 0.0
supports_streaming = true
[[models]]
id = "lfm-2.5-1.2b-thinking:free"
display_name = "LiquidAI: LFM2.5-1.2B-Thinking (free)"
tier = "fast"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.0
output_cost_per_m = 0.0
supports_streaming = true
[[models]]
id = "lfm2-8b-a1b"
display_name = "LiquidAI: LFM2-8B-A1B"
tier = "fast"
context_window = 32768
max_output_tokens = 8192
input_cost_per_m = 0.01
output_cost_per_m = 0.02
supports_streaming = true