Files
librefang-registry/providers
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
..
2026-03-21 03:26:11 +09:00
2026-03-16 03:47:24 +09:00

Providers

LLM provider and model metadata for LibreFang. Each provider file defines the provider's API configuration and all available models with pricing, context windows, and capability flags.

Structure

providers/
├── anthropic.toml
├── openai.toml
├── groq.toml
└── ...           (46 providers, 220+ models)

Provider TOML Format

[provider]
id = "provider-id"                # Unique identifier (lowercase, hyphenated)
display_name = "Provider Name"
api_key_env = "PROVIDER_API_KEY"  # Env var for API key
base_url = "https://api.example.com"
key_required = true

[[models]]
id = "model-id"                   # Exact API model ID
display_name = "Model Name"
tier = "smart"                    # frontier | smart | balanced | fast | local
context_window = 128000
max_output_tokens = 16384
input_cost_per_m = 2.50           # USD per million input tokens
output_cost_per_m = 10.0          # USD per million output tokens
supports_tools = true
supports_vision = false
supports_streaming = true
aliases = ["short-name"]

Tier Definitions

Tier Description Examples
frontier Most capable, cutting-edge Claude Opus, GPT-4.1
smart Smart, cost-effective Claude Sonnet, Gemini 2.5 Flash
balanced Balanced speed/cost GPT-4.1 Mini, Llama 3.3 70B
fast Fastest, cheapest GPT-4o Mini, Claude Haiku
local Local models, zero cost Ollama, vLLM, LM Studio

Validation

python scripts/validate.py

Checks: required fields, valid tiers, non-negative costs, no duplicate model IDs.

Adding or Updating a Model

  1. Edit or create the provider file in providers/
  2. Use exact API model IDs and verify pricing from official sources
  3. Run python scripts/validate.py
  4. Submit a PR

See CONTRIBUTING.md for the full guide and pricing source links.