feat: initial model catalog with 196 models across 39 providers

Community-maintained TOML catalog for LibreFang. New models can be added via PR without requiring a LibreFang binary release. Includes validation script, bilingual docs, and GitHub templates.
2026-03-14 11:52:10 +09:00
commit 21c82e335c
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+name: New Model Request
+description: Request addition of a new AI model to the catalog
+labels: ["new-model"]
+body:
+  - type: input
+    id: model_id
+    attributes:
+      label: Model ID
+      description: The canonical model identifier used by the provider's API.
+      placeholder: e.g. gpt-5.5
+    validations:
+      required: true
+
+  - type: input
+    id: provider
+    attributes:
+      label: Provider
+      description: Which provider offers this model?
+      placeholder: e.g. openai
+    validations:
+      required: true
+
+  - type: dropdown
+    id: tier
+    attributes:
+      label: Tier
+      description: What capability tier does this model belong to?
+      options:
+        - frontier
+        - smart
+        - balanced
+        - fast
+        - local
+    validations:
+      required: true
+
+  - type: textarea
+    id: details
+    attributes:
+      label: Model Details
+      description: |
+        Please provide the following details:
+        - Context window (tokens)
+        - Max output tokens
+        - Input cost per million tokens (USD)
+        - Output cost per million tokens (USD)
+        - Supports tool/function calling? (yes/no)
+        - Supports vision/image input? (yes/no)
+        - Supports streaming? (yes/no)
+      placeholder: |
+        Context window: 128000
+        Max output: 16384
+        Input cost: $2.50 / 1M tokens
+        Output cost: $10.00 / 1M tokens
+        Tools: yes
+        Vision: yes
+        Streaming: yes
+    validations:
+      required: true
+
+  - type: input
+    id: source_url
+    attributes:
+      label: Source URL
+      description: Link to the official pricing or documentation page.
+      placeholder: e.g. https://openai.com/pricing
+    validations:
+      required: false
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+## Model Changes
+
+### Added/Updated Models
+- [ ] Model ID:
+- [ ] Provider:
+- [ ] Pricing verified from official source:
+
+### Checklist
+- [ ] `python scripts/validate.py` passes
+- [ ] No duplicate model IDs
+- [ ] Pricing is in USD per million tokens
+- [ ] Tier is one of: `frontier`, `smart`, `balanced`, `fast`, `local`
+- [ ] `context_window` and `max_output_tokens` are positive integers
+- [ ] Boolean fields (`supports_tools`, `supports_vision`, `supports_streaming`) are correct
@@ -0,0 +1,108 @@
+# Contributing to LibreFang Model Catalog
+
+Thank you for helping keep the model catalog up to date! This guide explains how to add or update model entries.
+
+## How to Add a New Model
+
+### 1. Fork & Clone
+
+```bash
+git clone https://github.com/<your-fork>/model-catalog.git
+cd model-catalog
+```
+
+### 2. Find the Right Provider File
+
+Each provider has its own file in `providers/`. For example:
+- OpenAI models go in `providers/openai.toml`
+- Anthropic models go in `providers/anthropic.toml`
+
+If the provider doesn't exist yet, create a new file (e.g. `providers/newprovider.toml`) with the `[provider]` section and your `[[models]]` entries.
+
+### 3. Add Your Model Entry
+
+Append a `[[models]]` block to the provider file:
+
+```toml
+[[models]]
+id = "new-model-id"              # The exact API model ID
+display_name = "New Model Name"  # Human-readable 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 = []                     # Optional short names
+```
+
+### 4. Validate
+
+```bash
+python scripts/validate.py
+```
+
+This checks:
+- All TOML files parse correctly
+- Required fields are present
+- Tier values are valid
+- Costs are non-negative
+- No duplicate model IDs
+
+### 5. Submit a Pull Request
+
+Push your branch and open a PR. The PR template will guide you through the checklist.
+
+## Where to Find Model Information
+
+- **OpenAI**: https://openai.com/pricing
+- **Anthropic**: https://docs.anthropic.com/en/docs/about-claude/models
+- **Google Gemini**: https://ai.google.dev/pricing
+- **DeepSeek**: https://platform.deepseek.com/api-docs/pricing
+- **Mistral**: https://mistral.ai/technology/#pricing
+- **Groq**: https://wow.groq.com/
+- **xAI**: https://docs.x.ai/docs
+- **Cohere**: https://cohere.com/pricing
+- **Together**: https://www.together.ai/pricing
+- **Fireworks**: https://fireworks.ai/pricing
+- **Perplexity**: https://docs.perplexity.ai/guides/pricing
+
+## Tier Definitions
+
+| Tier | Description | Examples |
+|------|-------------|----------|
+| `frontier` | Most capable, cutting-edge | Claude Opus, GPT-4.1, Gemini 2.5 Pro |
+| `smart` | Smart and cost-effective | Claude Sonnet, GPT-4o, Gemini 2.5 Flash |
+| `balanced` | Balanced speed and cost | GPT-4.1 Mini, Llama 3.3 70B |
+| `fast` | Fastest, cheapest | GPT-4o Mini, Claude Haiku, Gemma 2 9B |
+| `local` | Local models, zero cost | Ollama, vLLM, LM Studio |
+
+## Guidelines
+
+- **Pricing must be in USD per million tokens** -- convert from other units if needed
+- **Use the exact model ID** that the provider's API expects
+- **Don't guess** -- only add data you can verify from official sources
+- **One provider per file** -- don't mix providers in a single TOML file
+- **Keep aliases short** -- 1-3 word abbreviations that users would naturally type
+
+---
+
+# 贡献指南
+
+感谢您帮助维护模型目录！以下是添加或更新模型条目的方法。
+
+## 如何添加新模型
+
+1. Fork 并克隆此仓库
+2. 在 `providers/` 目录中找到对应的提供商文件
+3. 添加 `[[models]]` 条目（参考上方英文模板）
+4. 运行 `python scripts/validate.py` 验证
+5. 提交 Pull Request
+
+## 定价说明
+
+- 所有价格均以 **美元/百万 tokens** 为单位
+- 免费模型和本地模型的价格为 `0.0`
+- 请从官方定价页面获取准确数据
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 LibreFang Contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
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+# LibreFang Model Catalog
+
+Community-maintained model metadata catalog for [LibreFang](https://github.com/librefang/librefang) -- the open-source Agent Operating System.
+
+This repository is the source of truth for model metadata (pricing, context windows, capabilities). When new models are released (e.g. GPT-5.5, Claude 5), anyone can submit a PR here without touching the LibreFang binary.
+
+## Structure
+
+```
+model-catalog/
+├── providers/          # One TOML file per provider
+│   ├── anthropic.toml
+│   ├── openai.toml
+│   ├── gemini.toml
+│   └── ...
+├── aliases.toml        # Global alias mappings (e.g. "sonnet" -> "claude-sonnet-4-6")
+├── schema.toml         # Reference schema documenting all fields
+├── scripts/
+│   └── validate.py     # Validation script
+├── CONTRIBUTING.md     # How to add a new model
+└── LICENSE             # MIT
+```
+
+## How LibreFang Uses This Catalog
+
+LibreFang ships with a built-in model catalog compiled into the binary. This repository serves as the upstream source. To update your local catalog:
+
+```bash
+librefang catalog update
+```
+
+This fetches the latest TOML files from this repository and merges them into your local catalog.
+
+### Custom Local Models
+
+You can also add custom models locally without submitting a PR:
+
+```bash
+# Add to your personal config
+# ~/.librefang/model_catalog.toml
+
+[[models]]
+id = "my-custom-model"
+display_name = "My Custom Model"
+provider = "ollama"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+```
+
+## Schema Reference
+
+Each provider file contains a `[provider]` section and one or more `[[models]]` entries:
+
+```toml
+[provider]
+id = "provider-id"                  # Unique provider identifier
+display_name = "Provider Name"      # Human-readable name
+api_key_env = "PROVIDER_API_KEY"    # Environment variable for API key
+base_url = "https://api.example.com"  # Default API endpoint
+key_required = true                 # Whether an API key is needed
+
+[[models]]
+id = "model-id"                    # Unique model identifier (API model ID)
+display_name = "Human Name"        # Human-readable display name
+tier = "smart"                     # frontier | smart | balanced | fast | local
+context_window = 128000            # Maximum input tokens
+max_output_tokens = 16384          # Maximum output tokens
+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              # Tool/function calling support
+supports_vision = true             # Vision/image input support
+supports_streaming = true          # Streaming response support
+aliases = ["alias1", "alias2"]     # Short names for this model
+```
+
+### Tier Definitions
+
+| Tier | Description | Examples |
+|------|-------------|----------|
+| `frontier` | Most capable, cutting-edge models | Claude Opus, GPT-4.1, Gemini 2.5 Pro |
+| `smart` | Smart, cost-effective models | Claude Sonnet, GPT-4o, 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 |
+
+## How to Add a New Model
+
+1. Edit the appropriate provider file in `providers/`
+2. Run validation: `python scripts/validate.py`
+3. Submit a Pull Request
+
+See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions.
+
+## Validation
+
+```bash
+python scripts/validate.py
+```
+
+This checks all TOML files for correctness: required fields, valid tiers, non-negative costs, no duplicate IDs.
+
+## Current Stats
+
+- **30+ providers** including Anthropic, OpenAI, Google, DeepSeek, Groq, Mistral, xAI, and more
+- **190+ models** with pricing, context windows, and capability flags
+- **80+ aliases** for quick model selection
+
+## License
+
+MIT License. See [LICENSE](LICENSE).
+
+---
+
+# LibreFang 模型目录
+
+社区维护的 [LibreFang](https://github.com/librefang/librefang) 模型元数据目录 -- 开源 Agent 操作系统。
+
+本仓库是模型元数据（定价、上下文窗口、能力标记）的唯一数据源。当新模型发布时（如 GPT-5.5、Claude 5），任何人都可以在这里提交 PR，而无需修改 LibreFang 二进制文件。
+
+## 目录结构
+
+```
+model-catalog/
+├── providers/          # 每个提供商一个 TOML 文件
+│   ├── anthropic.toml
+│   ├── openai.toml
+│   ├── gemini.toml
+│   └── ...
+├── aliases.toml        # 全局别名映射（如 "sonnet" -> "claude-sonnet-4-6"）
+├── schema.toml         # 字段定义参考
+├── scripts/
+│   └── validate.py     # 验证脚本
+├── CONTRIBUTING.md     # 如何添加新模型
+└── LICENSE             # MIT 许可证
+```
+
+## LibreFang 如何使用此目录
+
+LibreFang 内置了编译到二进制文件中的模型目录。本仓库作为上游数据源。更新本地目录：
+
+```bash
+librefang catalog update
+```
+
+### 本地自定义模型
+
+您也可以在本地添加自定义模型，无需提交 PR：
+
+```bash
+# 编辑个人配置文件
+# ~/.librefang/model_catalog.toml
+
+[[models]]
+id = "my-custom-model"
+display_name = "我的自定义模型"
+provider = "ollama"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+```
+
+## 如何添加新模型
+
+1. 编辑 `providers/` 中对应的提供商文件
+2. 运行验证：`python scripts/validate.py`
+3. 提交 Pull Request
+
+详细说明请参考 [CONTRIBUTING.md](CONTRIBUTING.md)。
+
+## 验证
+
+```bash
+python scripts/validate.py
+```
+
+检查所有 TOML 文件的正确性：必填字段、有效的层级值、非负成本、无重复 ID。
+
+## 许可证
+
+MIT 许可证。详见 [LICENSE](LICENSE)。
@@ -0,0 +1,101 @@
+# Global alias mappings
+# Maps short names to canonical model IDs.
+# Aliases defined in provider TOML files (via the `aliases` field on each model)
+# are auto-registered at load time. This file contains additional global aliases
+# that are not tied to a specific model entry.
+
+[aliases]
+# Anthropic
+"sonnet" = "claude-sonnet-4-6"
+"claude-sonnet" = "claude-sonnet-4-6"
+"haiku" = "claude-haiku-4-5-20251001"
+"claude-haiku" = "claude-haiku-4-5-20251001"
+"opus" = "claude-opus-4-6"
+"claude-opus" = "claude-opus-4-6"
+
+# OpenAI
+"gpt4" = "gpt-4o"
+"gpt4o" = "gpt-4o"
+"gpt4-mini" = "gpt-4o-mini"
+"gpt5" = "gpt-5.2"
+"gpt5-mini" = "gpt-5-mini"
+
+# Google Gemini
+"flash" = "gemini-2.5-flash"
+"gemini-pro" = "gemini-3.1-pro-preview"
+"gemini-flash" = "gemini-3-flash-preview"
+
+# DeepSeek
+"deepseek" = "deepseek-chat"
+"deepseek-v3" = "deepseek-chat"
+"deepseek-r1" = "deepseek-reasoner"
+
+# Groq
+"llama" = "llama-3.3-70b-versatile"
+"llama-70b" = "llama-3.3-70b-versatile"
+"mixtral" = "mixtral-8x7b-32768"
+
+# Mistral
+"mistral" = "mistral-large-latest"
+"codestral" = "codestral-latest"
+"mistral-nemo" = "open-mistral-nemo"
+"pixtral" = "pixtral-large-latest"
+
+# xAI
+"grok" = "grok-4-0709"
+"grok-4" = "grok-4-0709"
+"grok-mini" = "grok-2-mini"
+"grok3" = "grok-3"
+"grok-fast" = "grok-4-1-fast-reasoning"
+
+# Perplexity
+"sonar" = "sonar-pro"
+
+# AI21
+"jamba" = "jamba-1.5-large"
+
+# Cohere
+"command-r" = "command-r-plus"
+"command" = "command-a"
+
+# GitHub Copilot
+"copilot" = "copilot/gpt-4o"
+"copilot-4o" = "copilot/gpt-4o"
+"copilot-4" = "copilot/gpt-4"
+"copilot-gpt4o" = "copilot/gpt-4o"
+"copilot-gpt4" = "copilot/gpt-4"
+
+# Chinese models
+"qwen" = "qwen-plus"
+"glm" = "glm-5-20250605"
+"ernie" = "ernie-4.5-8k"
+"kimi" = "kimi-k2"
+"moonshot" = "moonshot-v1-128k"
+"minimax" = "MiniMax-M2.5"
+"minimax-m2.5" = "MiniMax-M2.5"
+"minimax-m2.5-highspeed" = "MiniMax-M2.5-highspeed"
+"minimax-highspeed" = "MiniMax-M2.5-highspeed"
+"minimax-m2.1" = "MiniMax-M2.1"
+"codegeex" = "codegeex-4"
+
+# ChatGPT Session Auth
+"chatgpt" = "gpt-5.1-codex-mini"
+"chatgpt-mini" = "gpt-5.1-codex-mini"
+"chatgpt-5.1" = "gpt-5.1-codex"
+"chatgpt-5.2" = "gpt-5.2-codex"
+"chatgpt-5.3" = "gpt-5.3-codex"
+"chatgpt-5.4" = "gpt-5.4-codex"
+
+# Codex
+"codex" = "codex/gpt-4.1"
+"codex-4.1" = "codex/gpt-4.1"
+"codex-o4" = "codex/o4-mini"
+
+# Venice
+"venice" = "venice-uncensored"
+
+# Claude Code
+"claude-code" = "claude-code/sonnet"
+"claude-code-opus" = "claude-code/opus"
+"claude-code-sonnet" = "claude-code/sonnet"
+"claude-code-haiku" = "claude-code/haiku"
@@ -0,0 +1,48 @@
+# AI21 Labs — https://ai21.com
+# Models: 3
+
+[provider]
+id = "ai21"
+display_name = "AI21 Labs"
+api_key_env = "AI21_API_KEY"
+base_url = "https://api.ai21.com/studio/v1"
+key_required = true
+
+[[models]]
+id = "jamba-1.5-large"
+display_name = "Jamba 1.5 Large"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 4096
+input_cost_per_m = 2.0
+output_cost_per_m = 8.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["jamba"]
+
+[[models]]
+id = "jamba-1.5-mini"
+display_name = "Jamba 1.5 Mini"
+tier = "fast"
+context_window = 256000
+max_output_tokens = 4096
+input_cost_per_m = 0.20
+output_cost_per_m = 0.40
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "jamba-instruct"
+display_name = "Jamba Instruct"
+tier = "balanced"
+context_window = 256000
+max_output_tokens = 4096
+input_cost_per_m = 0.50
+output_cost_per_m = 0.70
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
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+# Anthropic — https://anthropic.com
+# Models: 7
+
+[provider]
+id = "anthropic"
+display_name = "Anthropic"
+api_key_env = "ANTHROPIC_API_KEY"
+base_url = "https://api.anthropic.com"
+key_required = true
+
+[[models]]
+id = "claude-opus-4-6"
+display_name = "Claude Opus 4.6"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 128000
+input_cost_per_m = 5.0
+output_cost_per_m = 25.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["opus", "claude-opus"]
+
+[[models]]
+id = "claude-sonnet-4-6"
+display_name = "Claude Sonnet 4.6"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["sonnet", "claude-sonnet"]
+
+[[models]]
+id = "claude-opus-4-20250514"
+display_name = "Claude Opus 4"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 32000
+input_cost_per_m = 15.0
+output_cost_per_m = 75.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "claude-sonnet-4-20250514"
+display_name = "Claude Sonnet 4"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "claude-haiku-4-5-20251001"
+display_name = "Claude Haiku 4.5"
+tier = "fast"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 0.25
+output_cost_per_m = 1.25
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["haiku", "claude-haiku"]
+
+[[models]]
+id = "claude-sonnet-4-5-20250514"
+display_name = "Claude Sonnet 4.5"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "claude-3-5-sonnet-20241022"
+display_name = "Claude 3.5 Sonnet"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,113 @@
+# AWS Bedrock — https://aws.amazon.com/bedrock
+# Models: 8
+
+[provider]
+id = "bedrock"
+display_name = "AWS Bedrock"
+api_key_env = "AWS_ACCESS_KEY_ID"
+base_url = "https://bedrock-runtime.us-east-1.amazonaws.com"
+key_required = true
+
+[[models]]
+id = "bedrock/anthropic.claude-opus-4-6"
+display_name = "Claude Opus 4.6 (Bedrock)"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 128000
+input_cost_per_m = 5.00
+output_cost_per_m = 25.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/anthropic.claude-sonnet-4-6"
+display_name = "Claude Sonnet 4.6 (Bedrock)"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.00
+output_cost_per_m = 15.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/anthropic.claude-opus-4-20250514"
+display_name = "Claude Opus 4 (Bedrock)"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 32000
+input_cost_per_m = 15.00
+output_cost_per_m = 75.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/anthropic.claude-sonnet-4-20250514"
+display_name = "Claude Sonnet 4 (Bedrock)"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.00
+output_cost_per_m = 15.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/anthropic.claude-haiku-4-5-20251001"
+display_name = "Claude Haiku 4.5 (Bedrock)"
+tier = "fast"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 0.25
+output_cost_per_m = 1.25
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/amazon.nova-pro-v1:0"
+display_name = "Amazon Nova Pro (Bedrock)"
+tier = "smart"
+context_window = 300000
+max_output_tokens = 5120
+input_cost_per_m = 0.80
+output_cost_per_m = 3.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/amazon.nova-lite-v1:0"
+display_name = "Amazon Nova Lite (Bedrock)"
+tier = "fast"
+context_window = 300000
+max_output_tokens = 5120
+input_cost_per_m = 0.06
+output_cost_per_m = 0.24
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "bedrock/meta.llama3-3-70b-instruct-v1:0"
+display_name = "Llama 3.3 70B (Bedrock)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.72
+output_cost_per_m = 0.72
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,61 @@
+# Cerebras — https://cerebras.ai
+# Models: 4
+
+[provider]
+id = "cerebras"
+display_name = "Cerebras"
+api_key_env = "CEREBRAS_API_KEY"
+base_url = "https://api.cerebras.ai/v1"
+key_required = true
+
+[[models]]
+id = "cerebras/llama3.3-70b"
+display_name = "Llama 3.3 70B (Cerebras)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "cerebras/llama3.1-8b"
+display_name = "Llama 3.1 8B (Cerebras)"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.01
+output_cost_per_m = 0.01
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "cerebras/llama-4-scout-17b"
+display_name = "Llama 4 Scout (Cerebras)"
+tier = "smart"
+context_window = 512000
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "cerebras/qwen-2.5-32b"
+display_name = "Qwen 2.5 32B (Cerebras)"
+tier = "balanced"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,74 @@
+# ChatGPT (Session Auth / Codex Responses API) — https://chatgpt.com
+# Models: 5 (free with ChatGPT subscription via OAuth session)
+
+[provider]
+id = "chatgpt"
+display_name = "ChatGPT (Session Auth)"
+api_key_env = "CHATGPT_SESSION_TOKEN"
+base_url = "https://chatgpt.com/backend-api"
+key_required = true
+
+[[models]]
+id = "gpt-5.4-codex"
+display_name = "GPT-5.4 Codex"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 65536
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chatgpt-5.4"]
+
+[[models]]
+id = "gpt-5.3-codex"
+display_name = "GPT-5.3 Codex"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 65536
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chatgpt-5.3"]
+
+[[models]]
+id = "gpt-5.2-codex"
+display_name = "GPT-5.2 Codex"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 65536
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chatgpt-5.2"]
+
+[[models]]
+id = "gpt-5.1-codex"
+display_name = "GPT-5.1 Codex"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 65536
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chatgpt-5.1"]
+
+[[models]]
+id = "gpt-5.1-codex-mini"
+display_name = "GPT-5.1 Codex Mini"
+tier = "balanced"
+context_window = 200000
+max_output_tokens = 65536
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chatgpt-mini", "chatgpt"]
@@ -0,0 +1,74 @@
+# Chutes.ai — https://chutes.ai
+# Models: 5
+
+[provider]
+id = "chutes"
+display_name = "Chutes.ai"
+api_key_env = "CHUTES_API_KEY"
+base_url = "https://llm.chutes.ai/v1"
+key_required = true
+
+[[models]]
+id = "chutes/deepseek-ai/DeepSeek-V3"
+display_name = "DeepSeek V3 (Chutes)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.25
+output_cost_per_m = 0.35
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chutes-deepseek-v3"]
+
+[[models]]
+id = "chutes/deepseek-ai/DeepSeek-R1"
+display_name = "DeepSeek R1 (Chutes)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.55
+output_cost_per_m = 2.19
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["chutes-deepseek-r1"]
+
+[[models]]
+id = "chutes/meta-llama/Llama-4-Maverick-17B-128E-Instruct"
+display_name = "Llama 4 Maverick (Chutes)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.20
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chutes-llama-maverick"]
+
+[[models]]
+id = "chutes/Qwen/Qwen3-235B-A22B"
+display_name = "Qwen3 235B (Chutes)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.25
+output_cost_per_m = 0.35
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chutes-qwen3"]
+
+[[models]]
+id = "chutes/meta-llama/Llama-3.3-70B-Instruct"
+display_name = "Llama 3.3 70B (Chutes)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.15
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["chutes-llama-70b"]
@@ -0,0 +1,48 @@
+# Claude Code CLI — subprocess-based provider
+# Models: 3 (requires `claude` CLI installed)
+
+[provider]
+id = "claude-code"
+display_name = "Claude Code"
+api_key_env = ""
+base_url = ""
+key_required = false
+
+[[models]]
+id = "claude-code/opus"
+display_name = "Claude Opus (CLI)"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 128000
+input_cost_per_m = 5.0
+output_cost_per_m = 25.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["claude-code-opus"]
+
+[[models]]
+id = "claude-code/sonnet"
+display_name = "Claude Sonnet (CLI)"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["claude-code", "claude-code-sonnet"]
+
+[[models]]
+id = "claude-code/haiku"
+display_name = "Claude Haiku (CLI)"
+tier = "fast"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 0.25
+output_cost_per_m = 1.25
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["claude-code-haiku"]
@@ -0,0 +1,61 @@
+# Cohere — https://cohere.com
+# Models: 4
+
+[provider]
+id = "cohere"
+display_name = "Cohere"
+api_key_env = "COHERE_API_KEY"
+base_url = "https://api.cohere.com/v2"
+key_required = true
+
+[[models]]
+id = "command-r-plus"
+display_name = "Command R+"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 2.50
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["command-r"]
+
+[[models]]
+id = "command-r-08-2024"
+display_name = "Command R (Aug 2024)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.15
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "command-a"
+display_name = "Command A"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 8192
+input_cost_per_m = 2.50
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["command"]
+
+[[models]]
+id = "command-light"
+display_name = "Command Light"
+tier = "fast"
+context_window = 4096
+max_output_tokens = 4096
+input_cost_per_m = 0.30
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,61 @@
+# DeepSeek — https://deepseek.com
+# Models: 4
+
+[provider]
+id = "deepseek"
+display_name = "DeepSeek"
+api_key_env = "DEEPSEEK_API_KEY"
+base_url = "https://api.deepseek.com/v1"
+key_required = true
+
+[[models]]
+id = "deepseek-chat"
+display_name = "DeepSeek V3"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.27
+output_cost_per_m = 1.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["deepseek", "deepseek-v3"]
+
+[[models]]
+id = "deepseek-reasoner"
+display_name = "DeepSeek R1"
+tier = "frontier"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.55
+output_cost_per_m = 2.19
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["deepseek-r1"]
+
+[[models]]
+id = "deepseek-coder"
+display_name = "DeepSeek Coder V2"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.14
+output_cost_per_m = 0.28
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "deepseek-chat-v3-0324"
+display_name = "DeepSeek V3 0324"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.27
+output_cost_per_m = 1.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,74 @@
+# Fireworks AI — https://fireworks.ai
+# Models: 5
+
+[provider]
+id = "fireworks"
+display_name = "Fireworks AI"
+api_key_env = "FIREWORKS_API_KEY"
+base_url = "https://api.fireworks.ai/inference/v1"
+key_required = true
+
+[[models]]
+id = "accounts/fireworks/models/llama-v3p1-405b-instruct"
+display_name = "Llama 3.1 405B (Fireworks)"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 3.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "accounts/fireworks/models/llama-v3p3-70b-instruct"
+display_name = "Llama 3.3 70B (Fireworks)"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.90
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "accounts/fireworks/models/deepseek-r1"
+display_name = "DeepSeek R1 (Fireworks)"
+tier = "frontier"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 3.00
+output_cost_per_m = 8.00
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "accounts/fireworks/models/deepseek-v3"
+display_name = "DeepSeek V3 (Fireworks)"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.90
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "accounts/fireworks/models/mixtral-8x22b-instruct"
+display_name = "Mixtral 8x22B (Fireworks)"
+tier = "balanced"
+context_window = 65536
+max_output_tokens = 4096
+input_cost_per_m = 0.90
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,139 @@
+# Google Gemini — https://ai.google.dev
+# Models: 10
+
+[provider]
+id = "gemini"
+display_name = "Google Gemini"
+api_key_env = "GEMINI_API_KEY"
+base_url = "https://generativelanguage.googleapis.com"
+key_required = true
+
+[[models]]
+id = "gemini-3.1-pro-preview"
+display_name = "Gemini 3.1 Pro Preview"
+tier = "frontier"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 2.50
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["gemini-pro"]
+
+[[models]]
+id = "gemini-3-flash-preview"
+display_name = "Gemini 3 Flash Preview"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 0.15
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["gemini-flash"]
+
+[[models]]
+id = "gemini-3.1-flash-lite-preview"
+display_name = "Gemini 3.1 Flash Lite Preview"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.04
+output_cost_per_m = 0.15
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-2.5-flash-lite"
+display_name = "Gemini 2.5 Flash Lite"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.04
+output_cost_per_m = 0.15
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-2.5-pro"
+display_name = "Gemini 2.5 Pro"
+tier = "frontier"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 1.25
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-2.5-flash"
+display_name = "Gemini 2.5 Flash"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 0.15
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["flash"]
+
+[[models]]
+id = "gemini-2.0-flash"
+display_name = "Gemini 2.0 Flash"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.40
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-2.0-flash-lite"
+display_name = "Gemini 2.0 Flash Lite"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.075
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-1.5-pro"
+display_name = "Gemini 1.5 Pro"
+tier = "smart"
+context_window = 2097152
+max_output_tokens = 8192
+input_cost_per_m = 1.25
+output_cost_per_m = 5.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "gemini-1.5-flash"
+display_name = "Gemini 1.5 Flash"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.075
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,35 @@
+# GitHub Copilot — https://github.com/features/copilot
+# Models: 2 (free for GitHub Copilot subscribers)
+
+[provider]
+id = "github-copilot"
+display_name = "GitHub Copilot"
+api_key_env = "GITHUB_TOKEN"
+base_url = "https://api.githubcopilot.com"
+key_required = true
+
+[[models]]
+id = "copilot/gpt-4o"
+display_name = "GPT-4o (Copilot)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["copilot-gpt4o"]
+
+[[models]]
+id = "copilot/gpt-4"
+display_name = "GPT-4 (Copilot)"
+tier = "frontier"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["copilot-gpt4"]
@@ -0,0 +1,140 @@
+# Groq — https://groq.com
+# Models: 10
+
+[provider]
+id = "groq"
+display_name = "Groq"
+api_key_env = "GROQ_API_KEY"
+base_url = "https://api.groq.com/openai/v1"
+key_required = true
+
+[[models]]
+id = "llama-3.3-70b-versatile"
+display_name = "Llama 3.3 70B"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.059
+output_cost_per_m = 0.079
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["llama", "llama-70b"]
+
+[[models]]
+id = "llama-3.1-8b-instant"
+display_name = "Llama 3.1 8B"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.05
+output_cost_per_m = 0.08
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "llama-3.2-90b-vision-preview"
+display_name = "Llama 3.2 90B Vision"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.90
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "llama-3.2-11b-vision-preview"
+display_name = "Llama 3.2 11B Vision"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.18
+output_cost_per_m = 0.18
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "llama-3.2-3b-preview"
+display_name = "Llama 3.2 3B"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "llama-3.2-1b-preview"
+display_name = "Llama 3.2 1B"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.04
+output_cost_per_m = 0.04
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "mixtral-8x7b-32768"
+display_name = "Mixtral 8x7B"
+tier = "balanced"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.024
+output_cost_per_m = 0.024
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["mixtral"]
+
+[[models]]
+id = "gemma2-9b-it"
+display_name = "Gemma 2 9B"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 0.02
+output_cost_per_m = 0.02
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-qwq-32b"
+display_name = "Qwen QWQ 32B"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 0.20
+output_cost_per_m = 0.20
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "meta-llama/llama-4-scout-17b-16e-instruct"
+display_name = "Llama 4 Scout 17B"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.11
+output_cost_per_m = 0.34
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
@@ -0,0 +1,48 @@
+# Hugging Face — https://huggingface.co
+# Models: 3 (static entries; additional models discovered dynamically at runtime)
+
+[provider]
+id = "huggingface"
+display_name = "Hugging Face"
+api_key_env = "HF_API_KEY"
+base_url = "https://api-inference.huggingface.co/v1"
+key_required = true
+
+[[models]]
+id = "hf/meta-llama/Llama-3.3-70B-Instruct"
+display_name = "Llama 3.3 70B (HF)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.30
+output_cost_per_m = 0.30
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "hf/deepseek-ai/DeepSeek-R1"
+display_name = "DeepSeek R1 (HF)"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 4096
+input_cost_per_m = 0.30
+output_cost_per_m = 0.30
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "hf/Qwen/Qwen2.5-72B-Instruct"
+display_name = "Qwen 2.5 72B (HF)"
+tier = "balanced"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.30
+output_cost_per_m = 0.30
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,22 @@
+# Kimi for Code — https://api.kimi.com
+# Models: 1
+
+[provider]
+id = "kimi_coding"
+display_name = "Kimi for Code"
+api_key_env = "KIMI_API_KEY"
+base_url = "https://api.kimi.com/coding"
+key_required = true
+
+[[models]]
+id = "kimi-for-coding"
+display_name = "Kimi For Coding"
+tier = "frontier"
+context_window = 262144
+max_output_tokens = 32768
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,9 @@
+# Lemonade — local NPU accelerated inference
+# Models: 0 (all models discovered dynamically at runtime)
+
+[provider]
+id = "lemonade"
+display_name = "Lemonade"
+api_key_env = "LEMONADE_API_KEY"
+base_url = "http://localhost:8888/api/v1"
+key_required = false
@@ -0,0 +1,22 @@
+# LM Studio — https://lmstudio.ai
+# Models: 1 (generic entry; additional models discovered dynamically at runtime)
+
+[provider]
+id = "lmstudio"
+display_name = "LM Studio"
+api_key_env = "LMSTUDIO_API_KEY"
+base_url = "http://localhost:1234/v1"
+key_required = false
+
+[[models]]
+id = "lmstudio-local"
+display_name = "LM Studio Local Model"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,87 @@
+# MiniMax (China) — https://minimaxi.com
+# Models: 6 (same models as international, different endpoint)
+
+[provider]
+id = "minimax-cn"
+display_name = "MiniMax (China)"
+api_key_env = "MINIMAX_CN_API_KEY"
+base_url = "https://api.minimaxi.com/v1"
+key_required = true
+
+[[models]]
+id = "minimax-text-01"
+display_name = "MiniMax Text 01"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "MiniMax-M2.5"
+display_name = "MiniMax M2.5"
+tier = "frontier"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.10
+output_cost_per_m = 4.40
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "MiniMax-M2.5-highspeed"
+display_name = "MiniMax M2.5 Highspeed"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 0.80
+output_cost_per_m = 3.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "MiniMax-M2.1"
+display_name = "MiniMax M2.1"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "abab6.5-chat"
+display_name = "ABAB 6.5 Chat"
+tier = "balanced"
+context_window = 245760
+max_output_tokens = 8192
+input_cost_per_m = 0.50
+output_cost_per_m = 1.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "abab7-chat"
+display_name = "ABAB 7 Chat"
+tier = "smart"
+context_window = 524288
+max_output_tokens = 16384
+input_cost_per_m = 0.80
+output_cost_per_m = 2.40
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,87 @@
+# MiniMax (International) — https://minimax.io
+# Models: 6
+
+[provider]
+id = "minimax"
+display_name = "MiniMax (International)"
+api_key_env = "MINIMAX_API_KEY"
+base_url = "https://api.minimax.io/v1"
+key_required = true
+
+[[models]]
+id = "minimax-text-01"
+display_name = "MiniMax Text 01"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["minimax"]
+
+[[models]]
+id = "MiniMax-M2.5"
+display_name = "MiniMax M2.5"
+tier = "frontier"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.10
+output_cost_per_m = 4.40
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["minimax-m2.5"]
+
+[[models]]
+id = "MiniMax-M2.5-highspeed"
+display_name = "MiniMax M2.5 Highspeed"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 0.80
+output_cost_per_m = 3.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["minimax-m2.5-highspeed", "m2.5-highspeed"]
+
+[[models]]
+id = "MiniMax-M2.1"
+display_name = "MiniMax M2.1"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 1.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["minimax-m2.1"]
+
+[[models]]
+id = "abab6.5-chat"
+display_name = "ABAB 6.5 Chat"
+tier = "balanced"
+context_window = 245760
+max_output_tokens = 8192
+input_cost_per_m = 0.50
+output_cost_per_m = 1.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "abab7-chat"
+display_name = "ABAB 7 Chat"
+tier = "smart"
+context_window = 524288
+max_output_tokens = 16384
+input_cost_per_m = 0.80
+output_cost_per_m = 2.40
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["abab7"]
@@ -0,0 +1,87 @@
+# Mistral AI — https://mistral.ai
+# Models: 6
+
+[provider]
+id = "mistral"
+display_name = "Mistral AI"
+api_key_env = "MISTRAL_API_KEY"
+base_url = "https://api.mistral.ai/v1"
+key_required = true
+
+[[models]]
+id = "mistral-large-latest"
+display_name = "Mistral Large"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 2.00
+output_cost_per_m = 6.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["mistral"]
+
+[[models]]
+id = "mistral-medium-latest"
+display_name = "Mistral Medium"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 2.70
+output_cost_per_m = 8.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "mistral-small-latest"
+display_name = "Mistral Small"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "codestral-latest"
+display_name = "Codestral"
+tier = "smart"
+context_window = 32000
+max_output_tokens = 8192
+input_cost_per_m = 0.30
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["codestral"]
+
+[[models]]
+id = "open-mistral-nemo"
+display_name = "Mistral Nemo"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.15
+output_cost_per_m = 0.15
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["mistral-nemo"]
+
+[[models]]
+id = "pixtral-large-latest"
+display_name = "Pixtral Large"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 2.00
+output_cost_per_m = 6.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["pixtral"]
@@ -0,0 +1,74 @@
+# Moonshot / Kimi — https://moonshot.ai
+# Models: 5
+
+[provider]
+id = "moonshot"
+display_name = "Moonshot (Kimi)"
+api_key_env = "MOONSHOT_API_KEY"
+base_url = "https://api.moonshot.ai/v1"
+key_required = true
+
+[[models]]
+id = "moonshot-v1-128k"
+display_name = "Moonshot V1 128K"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.80
+output_cost_per_m = 0.80
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["moonshot"]
+
+[[models]]
+id = "moonshot-v1-32k"
+display_name = "Moonshot V1 32K"
+tier = "balanced"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.30
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "moonshot-v1-8k"
+display_name = "Moonshot V1 8K"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 0.10
+output_cost_per_m = 0.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "kimi-k2"
+display_name = "Kimi K2"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 2.00
+output_cost_per_m = 8.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["kimi"]
+
+[[models]]
+id = "kimi-k2.5"
+display_name = "Kimi K2.5"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 2.00
+output_cost_per_m = 8.00
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["kimi-k2.5-0711"]
@@ -0,0 +1,87 @@
+# Ollama — https://ollama.com
+# Models: 6 (static entries; additional models discovered dynamically at runtime)
+
+[provider]
+id = "ollama"
+display_name = "Ollama"
+api_key_env = "OLLAMA_API_KEY"
+base_url = "http://localhost:11434/v1"
+key_required = false
+
+[[models]]
+id = "llama3.2"
+display_name = "Llama 3.2 (Ollama)"
+tier = "local"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "llama3.1"
+display_name = "Llama 3.1 (Ollama)"
+tier = "local"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "mistral:latest"
+display_name = "Mistral (Ollama)"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen2.5"
+display_name = "Qwen 2.5 (Ollama)"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "phi3"
+display_name = "Phi-3 (Ollama)"
+tier = "local"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "deepseek-r1:latest"
+display_name = "DeepSeek R1 (Ollama)"
+tier = "local"
+context_window = 64000
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,245 @@
+# 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
+
+[[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 = 2.00
+output_cost_per_m = 8.00
+supports_tools = true
+supports_vision = true
+supports_streaming = 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
+aliases = []
+
+[[models]]
+id = "o4-mini"
+display_name = "o4-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 = true
+supports_streaming = 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 = 0.50
+output_cost_per_m = 1.50
+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 = 1.75
+output_cost_per_m = 14.0
+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
+aliases = ["codex-o4"]
@@ -0,0 +1,219 @@
+# OpenRouter — https://openrouter.ai
+# Models: 16 (10 paid + 6 free)
+
+[provider]
+id = "openrouter"
+display_name = "OpenRouter"
+api_key_env = "OPENROUTER_API_KEY"
+base_url = "https://openrouter.ai/api/v1"
+key_required = true
+
+[[models]]
+id = "openrouter/google/gemini-2.5-flash"
+display_name = "Gemini 2.5 Flash (OpenRouter)"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 0.15
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/anthropic/claude-sonnet-4"
+display_name = "Claude Sonnet 4 (OpenRouter)"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 64000
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/openai/gpt-4o"
+display_name = "GPT-4o (OpenRouter)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 2.5
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/deepseek/deepseek-chat"
+display_name = "DeepSeek V3 (OpenRouter)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.14
+output_cost_per_m = 0.28
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/meta-llama/llama-3.3-70b-instruct"
+display_name = "Llama 3.3 70B (OpenRouter)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.39
+output_cost_per_m = 0.39
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/qwen/qwen-2.5-72b-instruct"
+display_name = "Qwen 2.5 72B (OpenRouter)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.36
+output_cost_per_m = 0.36
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/google/gemini-2.5-pro"
+display_name = "Gemini 2.5 Pro (OpenRouter)"
+tier = "frontier"
+context_window = 1048576
+max_output_tokens = 65536
+input_cost_per_m = 1.25
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/mistralai/mistral-large-latest"
+display_name = "Mistral Large (OpenRouter)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 2.0
+output_cost_per_m = 6.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/google/gemma-2-9b-it"
+display_name = "Gemma 2 9B (OpenRouter)"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/deepseek/deepseek-r1"
+display_name = "DeepSeek R1 (OpenRouter)"
+tier = "frontier"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.55
+output_cost_per_m = 2.19
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+# Free models
+
+[[models]]
+id = "openrouter/google/gemma-2-9b-it:free"
+display_name = "Gemma 2 9B Free (OpenRouter)"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/meta-llama/llama-3.1-8b-instruct:free"
+display_name = "Llama 3.1 8B Free (OpenRouter)"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/qwen/qwen-2.5-7b-instruct:free"
+display_name = "Qwen 2.5 7B Free (OpenRouter)"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/mistralai/mistral-7b-instruct:free"
+display_name = "Mistral 7B Free (OpenRouter)"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/huggingfaceh4/zephyr-7b-beta:free"
+display_name = "Zephyr 7B Free (OpenRouter)"
+tier = "fast"
+context_window = 4096
+max_output_tokens = 2048
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "openrouter/deepseek/deepseek-r1:free"
+display_name = "DeepSeek R1 Free (OpenRouter)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 32768
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,61 @@
+# Perplexity AI — https://perplexity.ai
+# Models: 4
+
+[provider]
+id = "perplexity"
+display_name = "Perplexity AI"
+api_key_env = "PERPLEXITY_API_KEY"
+base_url = "https://api.perplexity.ai"
+key_required = true
+
+[[models]]
+id = "sonar-pro"
+display_name = "Sonar Pro"
+tier = "smart"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = ["sonar"]
+
+[[models]]
+id = "sonar-reasoning-pro"
+display_name = "Sonar Reasoning Pro"
+tier = "frontier"
+context_window = 200000
+max_output_tokens = 8192
+input_cost_per_m = 2.0
+output_cost_per_m = 8.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "sonar-reasoning"
+display_name = "Sonar Reasoning"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 1.0
+output_cost_per_m = 5.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "sonar-basic"
+display_name = "Sonar"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 1.0
+output_cost_per_m = 5.0
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,48 @@
+# Baidu Qianfan / ERNIE — https://qianfan.baidubce.com
+# Models: 3
+
+[provider]
+id = "qianfan"
+display_name = "Baidu Qianfan"
+api_key_env = "QIANFAN_API_KEY"
+base_url = "https://qianfan.baidubce.com/v2"
+key_required = true
+
+[[models]]
+id = "ernie-4.5-8k"
+display_name = "ERNIE 4.5 8K"
+tier = "smart"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 2.00
+output_cost_per_m = 6.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["ernie"]
+
+[[models]]
+id = "ernie-4.0-turbo-8k"
+display_name = "ERNIE 4.0 Turbo 8K"
+tier = "balanced"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 1.00
+output_cost_per_m = 3.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "ernie-speed-128k"
+display_name = "ERNIE Speed 128K"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,152 @@
+# Qwen / Alibaba — https://dashscope.aliyuncs.com
+# Models: 11
+
+[provider]
+id = "qwen"
+display_name = "Qwen (Alibaba)"
+api_key_env = "DASHSCOPE_API_KEY"
+base_url = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+key_required = true
+
+[[models]]
+id = "qwen-max"
+display_name = "Qwen Max"
+tier = "frontier"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 4.00
+output_cost_per_m = 12.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-plus"
+display_name = "Qwen Plus"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.80
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["qwen"]
+
+[[models]]
+id = "qwen-turbo"
+display_name = "Qwen Turbo"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.30
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-vl-plus"
+display_name = "Qwen VL Plus"
+tier = "smart"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 1.50
+output_cost_per_m = 4.50
+supports_tools = false
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-coder-plus"
+display_name = "Qwen Coder Plus"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.80
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-long"
+display_name = "Qwen Long"
+tier = "balanced"
+context_window = 1000000
+max_output_tokens = 8192
+input_cost_per_m = 0.50
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen3-235b-a22b"
+display_name = "Qwen3 235B"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 4.00
+output_cost_per_m = 12.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["qwen3"]
+
+[[models]]
+id = "qwen3-30b-a3b"
+display_name = "Qwen3 30B"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.30
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-coder-plus-latest"
+display_name = "Qwen Coder Plus (Latest)"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.80
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["qwen-coder"]
+
+[[models]]
+id = "qwen2.5-coder-32b-instruct"
+display_name = "Qwen 2.5 Coder 32B"
+tier = "balanced"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.80
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen-vl-max"
+display_name = "Qwen VL Max"
+tier = "frontier"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 3.00
+output_cost_per_m = 9.00
+supports_tools = false
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,48 @@
+# Replicate — https://replicate.com
+# Models: 3
+
+[provider]
+id = "replicate"
+display_name = "Replicate"
+api_key_env = "REPLICATE_API_TOKEN"
+base_url = "https://api.replicate.com/v1"
+key_required = true
+
+[[models]]
+id = "replicate/meta-llama-3.3-70b-instruct"
+display_name = "Llama 3.3 70B (Replicate)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.40
+output_cost_per_m = 0.40
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "replicate/deepseek-r1"
+display_name = "DeepSeek R1 (Replicate)"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 4096
+input_cost_per_m = 0.40
+output_cost_per_m = 0.40
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "replicate/mistral-7b-instruct"
+display_name = "Mistral 7B (Replicate)"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.05
+output_cost_per_m = 0.25
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,48 @@
+# SambaNova — https://sambanova.ai
+# Models: 3
+
+[provider]
+id = "sambanova"
+display_name = "SambaNova"
+api_key_env = "SAMBANOVA_API_KEY"
+base_url = "https://api.sambanova.ai/v1"
+key_required = true
+
+[[models]]
+id = "sambanova/llama-3.3-70b"
+display_name = "Llama 3.3 70B (SambaNova)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "sambanova/deepseek-r1"
+display_name = "DeepSeek R1 (SambaNova)"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "sambanova/qwen-2.5-72b"
+display_name = "Qwen 2.5 72B (SambaNova)"
+tier = "smart"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.06
+output_cost_per_m = 0.06
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,113 @@
+# Together AI — https://together.ai
+# Models: 8
+
+[provider]
+id = "together"
+display_name = "Together AI"
+api_key_env = "TOGETHER_API_KEY"
+base_url = "https://api.together.xyz/v1"
+key_required = true
+
+[[models]]
+id = "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo"
+display_name = "Llama 3.1 405B (Together)"
+tier = "frontier"
+context_window = 130000
+max_output_tokens = 4096
+input_cost_per_m = 3.50
+output_cost_per_m = 3.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "meta-llama/Llama-3.3-70B-Instruct-Turbo"
+display_name = "Llama 3.3 70B (Together)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 4096
+input_cost_per_m = 0.88
+output_cost_per_m = 0.88
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"
+display_name = "Llama 4 Maverick (Together)"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 8192
+input_cost_per_m = 0.27
+output_cost_per_m = 0.35
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
+display_name = "Llama 4 Scout (Together)"
+tier = "balanced"
+context_window = 512000
+max_output_tokens = 8192
+input_cost_per_m = 0.18
+output_cost_per_m = 0.30
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "deepseek-ai/DeepSeek-R1"
+display_name = "DeepSeek R1 (Together)"
+tier = "frontier"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 3.00
+output_cost_per_m = 7.00
+supports_tools = false
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "deepseek-ai/DeepSeek-V3"
+display_name = "DeepSeek V3 (Together)"
+tier = "smart"
+context_window = 64000
+max_output_tokens = 8192
+input_cost_per_m = 0.90
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "Qwen/Qwen2.5-72B-Instruct-Turbo"
+display_name = "Qwen 2.5 72B (Together)"
+tier = "smart"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.20
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "mistralai/Mixtral-8x22B-Instruct-v0.1"
+display_name = "Mixtral 8x22B (Together)"
+tier = "balanced"
+context_window = 65536
+max_output_tokens = 4096
+input_cost_per_m = 0.60
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,48 @@
+# Venice.ai — https://venice.ai
+# Models: 3
+
+[provider]
+id = "venice"
+display_name = "Venice.ai"
+api_key_env = "VENICE_API_KEY"
+base_url = "https://api.venice.ai/api/v1"
+key_required = true
+
+[[models]]
+id = "venice-uncensored"
+display_name = "Venice Uncensored"
+tier = "fast"
+context_window = 32000
+max_output_tokens = 8192
+input_cost_per_m = 0.20
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["venice"]
+
+[[models]]
+id = "llama-3.3-70b"
+display_name = "Llama 3.3 70B (Venice)"
+tier = "balanced"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.20
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "qwen3-235b-a22b-instruct-2507"
+display_name = "Qwen3 235B A22B (Venice)"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 8192
+input_cost_per_m = 0.20
+output_cost_per_m = 0.90
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,22 @@
+# vLLM — https://vllm.ai
+# Models: 1 (generic entry; additional models discovered dynamically at runtime)
+
+[provider]
+id = "vllm"
+display_name = "vLLM"
+api_key_env = "VLLM_API_KEY"
+base_url = "http://localhost:8000/v1"
+key_required = false
+
+[[models]]
+id = "vllm-local"
+display_name = "vLLM Local Model"
+tier = "local"
+context_window = 32768
+max_output_tokens = 4096
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
@@ -0,0 +1,9 @@
+# Volcano Engine Coding Plan — https://volcengine.com
+# Models: 0 (uses same API, coding-specific endpoint)
+
+[provider]
+id = "volcengine_coding"
+display_name = "Volcano Engine Coding Plan"
+api_key_env = "VOLCENGINE_API_KEY"
+base_url = "https://ark.cn-beijing.volces.com/api/coding/v3"
+key_required = true
@@ -0,0 +1,61 @@
+# Volcano Engine / Doubao — https://volcengine.com
+# Models: 4
+
+[provider]
+id = "volcengine"
+display_name = "Volcano Engine (Doubao)"
+api_key_env = "VOLCENGINE_API_KEY"
+base_url = "https://ark.cn-beijing.volces.com/api/v3"
+key_required = true
+
+[[models]]
+id = "doubao-seed-1-6-251015"
+display_name = "Doubao Seed 1.6 Pro"
+tier = "smart"
+context_window = 262144
+max_output_tokens = 16384
+input_cost_per_m = 0.80
+output_cost_per_m = 2.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["doubao", "doubao-pro"]
+
+[[models]]
+id = "doubao-seed-2-0-lite"
+display_name = "Doubao Seed 2.0 Lite"
+tier = "balanced"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.30
+output_cost_per_m = 0.60
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["doubao-lite"]
+
+[[models]]
+id = "doubao-seed-2-0-mini"
+display_name = "Doubao Seed 2.0 Mini"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.10
+output_cost_per_m = 0.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["doubao-mini"]
+
+[[models]]
+id = "doubao-seed-code"
+display_name = "Doubao Seed Code"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.50
+output_cost_per_m = 1.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["doubao-code"]
@@ -0,0 +1,126 @@
+# xAI — https://x.ai
+# Models: 9
+
+[provider]
+id = "xai"
+display_name = "xAI"
+api_key_env = "XAI_API_KEY"
+base_url = "https://api.x.ai/v1"
+key_required = true
+
+[[models]]
+id = "grok-4-0709"
+display_name = "Grok 4"
+tier = "frontier"
+context_window = 256000
+max_output_tokens = 32768
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["grok", "grok-4"]
+
+[[models]]
+id = "grok-4-fast-reasoning"
+display_name = "Grok 4 Fast Reasoning"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 32768
+input_cost_per_m = 1.0
+output_cost_per_m = 5.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "grok-4-fast-non-reasoning"
+display_name = "Grok 4 Fast Non-Reasoning"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 32768
+input_cost_per_m = 1.0
+output_cost_per_m = 5.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "grok-4-1-fast-reasoning"
+display_name = "Grok 4.1 Fast Reasoning"
+tier = "fast"
+context_window = 2000000
+max_output_tokens = 32768
+input_cost_per_m = 0.20
+output_cost_per_m = 0.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["grok-fast"]
+
+[[models]]
+id = "grok-4-1-fast-non-reasoning"
+display_name = "Grok 4.1 Fast Non-Reasoning"
+tier = "fast"
+context_window = 2000000
+max_output_tokens = 32768
+input_cost_per_m = 0.20
+output_cost_per_m = 0.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "grok-3"
+display_name = "Grok 3"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 3.0
+output_cost_per_m = 15.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["grok3"]
+
+[[models]]
+id = "grok-3-mini"
+display_name = "Grok 3 Mini"
+tier = "balanced"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 0.30
+output_cost_per_m = 0.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "grok-2"
+display_name = "Grok 2"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 2.0
+output_cost_per_m = 10.0
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "grok-2-mini"
+display_name = "Grok 2 Mini"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 0.30
+output_cost_per_m = 0.50
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["grok-mini"]
@@ -0,0 +1,35 @@
+# Z.AI Coding / GLM Coding Models — https://api.z.ai
+# Models: 2
+
+[provider]
+id = "zai_coding"
+display_name = "Z.AI Coding"
+api_key_env = "ZHIPU_API_KEY"
+base_url = "https://api.z.ai/api/coding/paas/v4"
+key_required = true
+
+[[models]]
+id = "glm-5-coding"
+display_name = "GLM-5 Coding"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 2.00
+output_cost_per_m = 8.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["glm-5-code", "glm-coding"]
+
+[[models]]
+id = "glm-4.7-coding"
+display_name = "GLM-4.7 Coding"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 1.50
+output_cost_per_m = 5.00
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["glm-4.7-code"]
@@ -0,0 +1,9 @@
+# Z.AI — https://api.z.ai (Zhipu domain alias)
+# Models: 0 (uses same models as zhipu, different domain)
+
+[provider]
+id = "zai"
+display_name = "Z.AI"
+api_key_env = "ZHIPU_API_KEY"
+base_url = "https://api.z.ai/api/paas/v4"
+key_required = true
@@ -0,0 +1,22 @@
+# Zhipu Coding / CodeGeeX — https://open.bigmodel.cn
+# Models: 1
+
+[provider]
+id = "zhipu_coding"
+display_name = "Zhipu Coding (CodeGeeX)"
+api_key_env = "ZHIPU_API_KEY"
+base_url = "https://open.bigmodel.cn/api/coding/paas/v4"
+key_required = true
+
+[[models]]
+id = "codegeex-4"
+display_name = "CodeGeeX 4"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["codegeex"]
@@ -0,0 +1,87 @@
+# Zhipu AI (GLM) — https://open.bigmodel.cn
+# Models: 6
+
+[provider]
+id = "zhipu"
+display_name = "Zhipu AI (GLM)"
+api_key_env = "ZHIPU_API_KEY"
+base_url = "https://open.bigmodel.cn/api/paas/v4"
+key_required = true
+
+[[models]]
+id = "glm-4-plus"
+display_name = "GLM-4 Plus"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.60
+output_cost_per_m = 2.20
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = ["glm"]
+
+[[models]]
+id = "glm-4-flash"
+display_name = "GLM-4 Flash"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 8192
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "glm-4v-plus"
+display_name = "GLM-4V Plus"
+tier = "smart"
+context_window = 8192
+max_output_tokens = 4096
+input_cost_per_m = 0.60
+output_cost_per_m = 2.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "glm-4-long"
+display_name = "GLM-4 Long"
+tier = "balanced"
+context_window = 1000000
+max_output_tokens = 8192
+input_cost_per_m = 0.10
+output_cost_per_m = 0.10
+supports_tools = true
+supports_vision = false
+supports_streaming = true
+aliases = []
+
+[[models]]
+id = "glm-5-20250605"
+display_name = "GLM-5"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 1.00
+output_cost_per_m = 3.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = ["glm-5"]
+
+[[models]]
+id = "glm-4.7"
+display_name = "GLM-4.7"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.60
+output_cost_per_m = 2.20
+supports_tools = true
+supports_vision = true
+supports_streaming = true
+aliases = []
@@ -0,0 +1,31 @@
+# Model Catalog Schema Reference
+# ================================
+# This file documents all available fields and their types.
+# It is NOT a real provider file — it exists purely as documentation.
+#
+# Required fields are marked. All other fields are optional.
+
+[provider]
+id = "provider-id"                     # Required: unique provider identifier (lowercase, hyphenated)
+display_name = "Provider Name"         # Required: human-readable display name
+api_key_env = "PROVIDER_API_KEY"       # Required: environment variable name for the API key
+base_url = "https://api.example.com"   # Required: default API base URL
+key_required = true                    # Required: whether an API key is needed (false for local providers)
+
+[[models]]
+id = "model-id"                        # Required: unique model identifier
+display_name = "Human Name"            # Required: human-readable display name
+tier = "smart"                         # Required: one of "frontier", "smart", "balanced", "fast", "local"
+                                       #   frontier — cutting-edge, most capable (e.g. Claude Opus, GPT-4.1)
+                                       #   smart    — smart, cost-effective (e.g. Claude Sonnet, Gemini 2.5 Flash)
+                                       #   balanced — balanced speed/cost
+                                       #   fast     — fastest, cheapest for simple tasks
+                                       #   local    — local models (Ollama, vLLM, LM Studio)
+context_window = 128000                # Required: maximum input tokens
+max_output_tokens = 16384              # Required: maximum output tokens
+input_cost_per_m = 2.50                # Required: USD per million input tokens (0.0 for free/local)
+output_cost_per_m = 10.0               # Required: USD per million output tokens (0.0 for free/local)
+supports_tools = true                  # Optional: tool/function calling support (default: false)
+supports_vision = true                 # Optional: vision/image input support (default: false)
+supports_streaming = true              # Optional: streaming response support (default: true)
+aliases = ["alias1", "alias2"]         # Optional: alternative names for this model
@@ -0,0 +1,233 @@
+#!/usr/bin/env python3
+"""Validate all TOML files in the model catalog against the schema.
+
+Usage:
+    python scripts/validate.py
+
+Checks:
+    - All provider TOML files parse correctly
+    - Required provider fields exist
+    - Required model fields exist for each [[models]] entry
+    - Tier values are one of: frontier, smart, balanced, fast, local
+    - Cost values are non-negative
+    - context_window and max_output_tokens are positive integers
+    - No duplicate model IDs within the same provider file
+    - No duplicate model IDs across ALL provider files (same provider)
+    - aliases.toml parses correctly
+
+Exit code 0 on success, 1 on any validation error.
+"""
+
+import os
+import sys
+from pathlib import Path
+
+try:
+    import tomllib  # Python 3.11+
+except ImportError:
+    try:
+        import tomli as tomllib  # pip install tomli
+    except ImportError:
+        print("ERROR: Python 3.11+ required, or install 'tomli': pip install tomli")
+        sys.exit(1)
+
+VALID_TIERS = {"frontier", "smart", "balanced", "fast", "local"}
+
+REQUIRED_PROVIDER_FIELDS = {"id", "display_name", "api_key_env", "base_url", "key_required"}
+
+REQUIRED_MODEL_FIELDS = {
+    "id",
+    "display_name",
+    "tier",
+    "context_window",
+    "max_output_tokens",
+    "input_cost_per_m",
+    "output_cost_per_m",
+}
+
+
+def validate_provider_file(filepath: Path) -> list[str]:
+    """Validate a single provider TOML file. Returns list of error messages."""
+    errors = []
+
+    try:
+        with open(filepath, "rb") as f:
+            data = tomllib.load(f)
+    except Exception as e:
+        return [f"{filepath.name}: Failed to parse TOML: {e}"]
+
+    # Validate [provider] section
+    provider = data.get("provider")
+    if provider is None:
+        errors.append(f"{filepath.name}: Missing [provider] section")
+    else:
+        for field in REQUIRED_PROVIDER_FIELDS:
+            if field not in provider:
+                errors.append(f"{filepath.name}: Missing provider field '{field}'")
+
+    # Validate [[models]] entries
+    models = data.get("models", [])
+    seen_ids = set()
+
+    for i, model in enumerate(models):
+        model_label = model.get("id", f"models[{i}]")
+
+        # Check required fields
+        for field in REQUIRED_MODEL_FIELDS:
+            if field not in model:
+                errors.append(f"{filepath.name}: Model '{model_label}' missing field '{field}'")
+
+        # Validate tier
+        tier = model.get("tier")
+        if tier is not None and tier not in VALID_TIERS:
+            errors.append(
+                f"{filepath.name}: Model '{model_label}' has invalid tier '{tier}' "
+                f"(must be one of: {', '.join(sorted(VALID_TIERS))})"
+            )
+
+        # Validate costs
+        for cost_field in ("input_cost_per_m", "output_cost_per_m"):
+            val = model.get(cost_field)
+            if val is not None and (not isinstance(val, (int, float)) or val < 0):
+                errors.append(
+                    f"{filepath.name}: Model '{model_label}' has invalid {cost_field}: {val} "
+                    f"(must be >= 0)"
+                )
+
+        # Validate context_window and max_output_tokens
+        for int_field in ("context_window", "max_output_tokens"):
+            val = model.get(int_field)
+            if val is not None and (not isinstance(val, int) or val <= 0):
+                errors.append(
+                    f"{filepath.name}: Model '{model_label}' has invalid {int_field}: {val} "
+                    f"(must be a positive integer)"
+                )
+
+        # Check for duplicate IDs within the file
+        model_id = model.get("id")
+        if model_id:
+            if model_id in seen_ids:
+                errors.append(
+                    f"{filepath.name}: Duplicate model ID '{model_id}' within file"
+                )
+            seen_ids.add(model_id)
+
+    return errors
+
+
+def validate_aliases_file(filepath: Path) -> list[str]:
+    """Validate aliases.toml. Returns list of error messages."""
+    if not filepath.exists():
+        return [f"aliases.toml: File not found at {filepath}"]
+
+    try:
+        with open(filepath, "rb") as f:
+            data = tomllib.load(f)
+    except Exception as e:
+        return [f"aliases.toml: Failed to parse TOML: {e}"]
+
+    errors = []
+    aliases = data.get("aliases", {})
+    if not isinstance(aliases, dict):
+        errors.append("aliases.toml: [aliases] must be a table of string -> string mappings")
+    else:
+        for alias, target in aliases.items():
+            if not isinstance(target, str):
+                errors.append(f"aliases.toml: Alias '{alias}' must map to a string, got {type(target).__name__}")
+
+    return errors
+
+
+def main():
+    # Find the catalog root
+    script_dir = Path(__file__).resolve().parent
+    catalog_root = script_dir.parent
+    providers_dir = catalog_root / "providers"
+
+    if not providers_dir.is_dir():
+        print(f"ERROR: providers/ directory not found at {providers_dir}")
+        sys.exit(1)
+
+    all_errors = []
+    total_models = 0
+    provider_counts = {}
+    global_model_ids = {}  # model_id -> (provider_id, filename)
+
+    # Validate each provider file
+    toml_files = sorted(providers_dir.glob("*.toml"))
+    if not toml_files:
+        print("ERROR: No .toml files found in providers/")
+        sys.exit(1)
+
+    for filepath in toml_files:
+        errors = validate_provider_file(filepath)
+        all_errors.extend(errors)
+
+        # Count models if file parsed successfully
+        if not any("Failed to parse" in e for e in errors):
+            try:
+                with open(filepath, "rb") as f:
+                    data = tomllib.load(f)
+                provider_id = data.get("provider", {}).get("id", filepath.stem)
+                models = data.get("models", [])
+                count = len(models)
+                total_models += count
+                provider_counts[provider_id] = count
+
+                # Track global model IDs for cross-file duplicate detection
+                for model in models:
+                    mid = model.get("id")
+                    mprov = model.get("provider", provider_id)
+                    if mid:
+                        key = (mid, mprov)
+                        if key in global_model_ids:
+                            prev_file = global_model_ids[key]
+                            # Only flag if same provider in different files
+                            if prev_file != filepath.name:
+                                all_errors.append(
+                                    f"Cross-file duplicate: model '{mid}' (provider '{mprov}') "
+                                    f"found in both {prev_file} and {filepath.name}"
+                                )
+                        else:
+                            global_model_ids[key] = filepath.name
+            except Exception:
+                pass
+
+    # Validate aliases.toml
+    aliases_file = catalog_root / "aliases.toml"
+    all_errors.extend(validate_aliases_file(aliases_file))
+
+    # Print results
+    print("=" * 60)
+    print("LibreFang Model Catalog Validation")
+    print("=" * 60)
+    print()
+
+    if all_errors:
+        print(f"ERRORS ({len(all_errors)}):")
+        for error in all_errors:
+            print(f"  - {error}")
+        print()
+
+    print(f"Provider files: {len(toml_files)}")
+    print(f"Total models:   {total_models}")
+    print()
+
+    print("Per-provider model counts:")
+    for provider_id in sorted(provider_counts.keys()):
+        count = provider_counts[provider_id]
+        if count > 0:
+            print(f"  {provider_id:30s} {count:>3}")
+
+    print()
+
+    if all_errors:
+        print(f"VALIDATION FAILED with {len(all_errors)} error(s)")
+        sys.exit(1)
+    else:
+        print("VALIDATION PASSED")
+        sys.exit(0)
+
+
+if __name__ == "__main__":
+    main()