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