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chore(manifests): add outputModalities to model CLIs
Add outputModalities field to all model manifests and kimi-cli to specify supported output media types for AI models. Co-Authored-By: Claude <noreply@anthropic.com>
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‎manifests/clis/kimi-cli.json‎

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"launchCommand": "kimi",
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"installPath": null
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},
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{
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"os": "Windows",
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"installCommand": "uv tool install --python 3.13 kimi-cli",
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"launchCommand": "kimi",
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"installPath": null
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},
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{
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"os": "Linux",
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"installCommand": "uv tool install --python 3.13 kimi-cli",

‎manifests/models/claude-haiku-4-5.json‎

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"lifecycle": "latest",
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"knowledgeCutoff": "2025-02",
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs", "reasoning"],
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"benchmarks": {
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"sweBench": null,

‎manifests/models/claude-opus-4-1.json‎

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"lifecycle": "maintained",
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"knowledgeCutoff": null,
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "reasoning", "tool-choice", "structured-outputs"],
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"benchmarks": {
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"sweBench": 74.4,

‎manifests/models/claude-opus-4-5.json‎

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"lifecycle": "latest",
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"knowledgeCutoff": "2025-05",
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs", "reasoning"],
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"benchmarks": {
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"sweBench": null,

‎manifests/models/claude-opus-4.json‎

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"lifecycle": "maintained",
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"knowledgeCutoff": null,
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "reasoning", "tool-choice", "structured-outputs"],
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"benchmarks": {
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"sweBench": 67.6,

‎manifests/models/claude-sonnet-4-5.json‎

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"lifecycle": "latest",
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"knowledgeCutoff": "2025-01",
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "reasoning", "tool-choice", "structured-outputs"],
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"benchmarks": {
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"sweBench": 70.6,

‎manifests/models/claude-sonnet-4.json‎

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"lifecycle": "maintained",
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"knowledgeCutoff": null,
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"inputModalities": ["text", "image", "pdf"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs", "reasoning"],
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"benchmarks": {
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"sweBench": 64.93,

‎manifests/models/composer.json‎

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"lifecycle": "latest",
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"knowledgeCutoff": null,
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"inputModalities": ["text"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs"],
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"benchmarks": {
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"sweBench": null,

‎manifests/models/deepseek-3-2.json‎

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{
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"$schema": "../$schemas/model.schema.json",
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"id": "deepseek-3-2",
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"name": "DeepSeek V3.2",
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"description": "DeepSeek V3.2 is a reasoning-first model with 128K context window, designed for agent tasks with integrated thinking in tool-use capabilities.",
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"translations": {
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"zh-Hans": {
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"description": "DeepSeek V3.2 是推理优先的模型，具备 128K 上下文窗口，专为智能体任务设计，将思考直接集成到工具使用中。"
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},
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"de": {
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"description": "DeepSeek V3.2 ist ein reasoning-first Modell mit 128K-Kontextfenster, optimiert fur Agent-Tasks mit integriertem Denken in Tool-Use-Fahigkeiten."
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},
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"ko": {
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"description": "DeepSeek V3.2은 128K 컨텍스트 윈도를 갖춘 추론 우선 모델로, 도구 사용에 통합된 생각 기능을 갖춘 에이전트 작업을 위해 설계되었습니다."
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},
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"es": {
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"description": "DeepSeek V3.2 es un modelo de razonamiento prioritario con ventana de contexto de 128K, disenado para tareas de agentes con capacidades de pensamiento integrado en herramienta."
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},
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"fr": {
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"description": "DeepSeek V3.2 est un modele raisonnement-prioritaire avec une fenetre de contexte de 128K, concu pour les taches d'agents avec des capacites de reflechion integrees dans l'utilisation d'outils."
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},
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"id": {
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"description": "DeepSeek V3.2 adalah model penalaran prioritas dengan jendela konteks 128K, dirancang untuk tugas agen dengan kemampuan berpikir terintegrasi dalam penggunaan alat."
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},
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"ja": {
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"description": "DeepSeek V3.2は128Kコンテキストウィンドウを持つ推論優先モデルで、ツール使用に統合された思考機能を持つエージェントタスクのために設計されています。"
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},
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"pt": {
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"description": "DeepSeek V3.2 e um modelo de raciocinio prioritario com janela de contexto de 128K, projetado para tarefas de agentes com capacidades de pensamento integradas em uso de ferramentas."
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},
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"ru": {
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"description": "DeepSeek V3.2 - это модель с приоритетом рассуждения с окном контекста 128K, разработанная для задач агентов с интегрированным мышлением в использовании инструментов."
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},
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"tr": {
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"description": "DeepSeek V3.2, 128K baglam penceresine sahip oncelikli muhakeme modelidir, arac kullaniminda entegre dusunme yeteneklerine sahip ortam gorevleri icin tasarlanmistir."
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},
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"zh-Hant": {
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"description": "DeepSeek V3.2 是推理優先的模型，具備 128K 上下文視窗，專為智能體任務設計，將思考直接整合到工具使用中。"
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}
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},
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"verified": false,
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"websiteUrl": "https://www.deepseek.com",
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"docsUrl": "https://api-docs.deepseek.com/quick_start/pricing",
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"vendor": "DeepSeek",
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"size": "671B",
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"contextWindow": 128000,
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"maxOutput": 8000,
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"tokenPricing": {
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"input": 0.28,
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"output": 0.42,
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"cache": 0.028
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},
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"releaseDate": "2025-12-01",
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"lifecycle": "latest",
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"knowledgeCutoff": null,
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"inputModalities": ["text"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs", "reasoning"],
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"benchmarks": {
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"sweBench": null,
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"terminalBench": null,
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"sciCode": null,
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"liveCodeBench": null,
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"mmmu": null,
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"mmmuPro": null,
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"webDevArena": null
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},
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"platformUrls": {
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"huggingface": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2",
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"artificialAnalysis": null,
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"openrouter": null
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}
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}

‎manifests/models/deepseek-r1.json‎

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"lifecycle": "latest",
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"knowledgeCutoff": null,
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"inputModalities": ["text"],
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"outputModalities": ["text"],
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"capabilities": ["function-calling", "tool-choice", "structured-outputs", "reasoning"],
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"benchmarks": {
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"sweBench": null,

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