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# opencode-config
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个人 [OpenCode](https://opencode.ai) 配置文件。
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## 使用
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1. 安装 OpenCode
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```bash
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npm i -g opencode-ai
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# 或
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bun add -g opencode-ai
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```
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2. 克隆配置到 `~/.config/opencode`
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```bash
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git clone <repo-url> ~/.config/opencode
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```
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3. 参考 `.env.example` 将以下环境变量配置到系统中
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| 变量 | 必填 | 说明 |
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|------|------|------|
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| `AI_GATEWAY_BASE_URL` | 是 | 模型服务端点 |
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| `AI_GATEWAY_API_KEY` | 是 | 模型服务密钥 |
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| `EXA_API_KEY` | 否 | [Exa](https://exa.ai) 搜索,提供联网能力,不配则使用默认额度 |
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| `CONTEXT7_API_KEY` | 否 | [Context7](https://context7.com) 文档查询,提供库文档检索,不配则使用默认额度 |
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| `OPENCODE_GIT_BASH_PATH` | 否 | Windows 用户需指定 Git Bash 路径,否则工具调用可能异常 |
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4. 运行 `opencode`
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+18
-18
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{
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"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-opencode/master/assets/oh-my-opencode.schema.json",
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"agents": {
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"sisyphus": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
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"hephaestus": { "model": "openai/gpt-5.4", "variant": "medium" },
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"oracle": { "model": "openai/gpt-5.4", "variant": "high" },
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"librarian": { "model": "ai-gateway/minimax-m2.7" },
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"explore": { "model": "ai-gateway/minimax-m2.7" },
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"multimodal-looker": { "model": "openai/gpt-5.4", "variant": "medium" },
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"prometheus": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
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"metis": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
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"momus": { "model": "openai/gpt-5.4", "variant": "xhigh" },
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"atlas": { "model": "anthropic/claude-sonnet-4-6" },
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"sisyphus-junior": { "model": "anthropic/claude-sonnet-4-6" }
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"sisyphus": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"hephaestus": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"oracle": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"librarian": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"explore": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"multimodal-looker": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"prometheus": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"metis": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"momus": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"atlas": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"sisyphus-junior": { "model": "ai-gateway/kimi-k2p5-turbo" }
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},
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"categories": {
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"visual-engineering": { "model": "google/gemini-3.1-pro-preview", "variant": "high" },
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"ultrabrain": { "model": "openai/gpt-5.4", "variant": "xhigh" },
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"deep": { "model": "openai/gpt-5.3-codex", "variant": "medium" },
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"artistry": { "model": "google/gemini-3.1-pro-preview", "variant": "high" },
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"quick": { "model": "openai/gpt-5.4-mini" },
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"unspecified-low": { "model": "anthropic/claude-sonnet-4-6" },
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"unspecified-high": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
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"visual-engineering": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"ultrabrain": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"deep": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"artistry": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"quick": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"unspecified-low": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"unspecified-high": { "model": "ai-gateway/kimi-k2p5-turbo" },
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"writing": { "model": "ai-gateway/kimi-k2.5" }
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},
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"experimental": {
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+2
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"$schema": "https://opencode.ai/config.json",
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"plugin": ["oh-my-opencode@latest"],
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"autoupdate": false,
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"model": "anthropic/claude-opus-4-6",
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"small_model": "openai/gpt-5.4-mini",
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"model": "ai-gateway/kimi-k2p5-turbo",
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"small_model": "ai-gateway/kimi-k2p5-turbo",
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"provider": {
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"anthropic": {
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"npm": "@ai-sdk/anthropic",
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"options": {
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"baseURL": "{env:AI_GATEWAY_BASE_URL}/v1",
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"apiKey": "{env:AI_GATEWAY_API_KEY}"
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},
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"models": {
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"claude-opus-4-6": {
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"name": "Claude Opus 4.6",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "pdf"], "output": ["text"] },
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"limit": { "context": 1000000, "output": 128000 }
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},
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"claude-sonnet-4-6": {
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"name": "Claude Sonnet 4.6",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "pdf"], "output": ["text"] },
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"limit": { "context": 200000, "output": 64000 }
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},
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"claude-haiku-4-5": {
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"name": "Claude Haiku 4.5",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "pdf"], "output": ["text"] },
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"limit": { "context": 200000, "output": 64000 }
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}
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}
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},
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"openai": {
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"npm": "@ai-sdk/openai",
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"options": {
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"baseURL": "{env:AI_GATEWAY_BASE_URL}/v1",
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"apiKey": "{env:AI_GATEWAY_API_KEY}"
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},
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"models": {
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"gpt-5.4": {
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"name": "GPT-5.4",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "pdf"], "output": ["text"] },
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"limit": { "context": 1050000, "input": 922000, "output": 128000 }
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},
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"gpt-5.3-codex": {
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"name": "GPT-5.3-Codex",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "pdf"], "output": ["text"] },
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"limit": { "context": 400000, "input": 272000, "output": 128000 }
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},
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"gpt-5.4-mini": {
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"name": "GPT-5.4 mini",
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"reasoning": true,
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"modalities": { "input": ["text", "image"], "output": ["text"] },
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"limit": { "context": 400000, "input": 272000, "output": 128000 }
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}
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}
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},
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"google": {
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"npm": "@ai-sdk/google",
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"options": {
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"baseURL": "{env:AI_GATEWAY_BASE_URL}/v1beta",
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"apiKey": "{env:AI_GATEWAY_API_KEY}"
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},
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"models": {
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"gemini-3.1-pro-preview": {
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"name": "Gemini 3.1 Pro",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "video", "audio", "pdf"], "output": ["text"] },
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"limit": { "context": 1048576, "output": 65536 }
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},
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"gemini-3-flash-preview": {
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"name": "Gemini 3 Flash",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "video", "audio", "pdf"], "output": ["text"] },
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"limit": { "context": 1048576, "output": 65536 }
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}
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}
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},
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"ai-gateway": {
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"name": "AI Gateway",
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"npm": "@ai-sdk/openai-compatible",
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@@ -88,35 +13,11 @@
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"apiKey": "{env:AI_GATEWAY_API_KEY}"
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},
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"models": {
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"glm-5.1": {
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"name": "GLM-5.1",
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"reasoning": true,
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"modalities": { "input": ["text"], "output": ["text"] },
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"limit": { "context": 204800, "output": 131072 }
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},
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"glm-5": {
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"name": "GLM-5",
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"reasoning": true,
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"modalities": { "input": ["text"], "output": ["text"] },
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"limit": { "context": 204800, "output": 131072 }
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},
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"kimi-k2p5-turbo": {
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"name": "Kimi K2.5 Turbo",
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"reasoning": true,
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"modalities": { "input": ["text", "image"], "output": ["text"] },
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"limit": { "context": 256000, "output": 256000 }
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},
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"kimi-k2.5": {
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"name": "Kimi K2.5",
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"reasoning": true,
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"modalities": { "input": ["text", "image", "video"], "output": ["text"] },
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"limit": { "context": 262144, "output": 262144 }
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},
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"minimax-m2.7": {
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"name": "MiniMax M2.7",
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"reasoning": true,
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"modalities": { "input": ["text"], "output": ["text"] },
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"limit": { "context": 204800, "output": 131072 }
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}
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}
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}
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