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        "description": "# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nTTS-HD is a model that converts text to natural sounding speech.\n\n## Key model capabilities\n\n- TTS: optimized for speed.\n- TTS-HD: optimized for quality.\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nTTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 4,096 chars can be converted from text to speech per API request.\n\n## Output formats\n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation\n\nThe provider has not supplied this information.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n",
        "first_seen_at": "2026-08-12T22:48:02.147Z",
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        "last_seen_at": "2026-09-02T08:05:46.259Z",
        "limits": {},
        "modalities": {
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            "text"
          ],
          "output": [
            "audio"
          ]
        },
        "model_id": "tts-hd",
        "name": "tts-hd",
        "observed_at": "2026-09-02T08:05:46.259Z",
        "provider_id": "azure",
        "raw_type": "Audio models Audio API Text-to-speech models (preview)",
        "release_stage": "stable",
        "replacement_model_ids": [],
        "retired_at": "2026-12-15",
        "scope": "regional_catalog",
        "service_families": [
          "Azure OpenAI"
        ],
        "source_refs": [
          "azure-models",
          "azure-portal-models",
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        "status": "active",
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          {
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            "namespace": "azure.type",
            "raw_value": "Audio models Audio API Text-to-speech models (preview)",
            "source_ref": "azure-models",
            "task": "speech_synthesis"
          }
        ],
        "tasks": [
          "speech_synthesis"
        ],
        "uid": "azure/tts-hd@001",
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      },
      {
        "account_availability": "unknown",
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        "api_endpoints": [
          {
            "name": "createSpeech",
            "path": "openai/v1/audio/speech"
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          {
            "deployment_type": "Standard/Regional",
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          },
          {
            "deployment_type": "Standard",
            "region": "australiaeast"
          },
          {
            "deployment_type": "Standard",
            "region": "brazilsouth"
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            "deployment_type": "Standard",
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          {
            "deployment_type": "Standard",
            "region": "canadaeast"
          },
          {
            "deployment_type": "Standard",
            "region": "centralus"
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          {
            "deployment_type": "Standard",
            "region": "eastus"
          },
          {
            "deployment_type": "Standard",
            "region": "eastus2"
          },
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            "deployment_type": "Standard",
            "region": "francecentral"
          },
          {
            "deployment_type": "Standard",
            "region": "germanywestcentral"
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            "deployment_type": "Standard",
            "region": "italynorth"
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            "region": "japanwest"
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            "deployment_type": "Standard",
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            "region": "northcentralus"
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            "deployment_type": "Standard",
            "region": "norwayeast"
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            "deployment_type": "Standard",
            "region": "polandcentral"
          },
          {
            "deployment_type": "Standard",
            "region": "southafricanorth"
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          {
            "deployment_type": "Standard",
            "region": "southcentralus"
          },
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            "deployment_type": "Standard",
            "region": "southindia"
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          {
            "deployment_type": "Standard",
            "region": "spaincentral"
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          {
            "deployment_type": "Standard",
            "region": "swedencentral"
          },
          {
            "deployment_type": "Standard",
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          },
          {
            "deployment_type": "Standard",
            "region": "switzerlandwest"
          },
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            "deployment_type": "Standard",
            "region": "uaenorth"
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          {
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            "region": "uksouth"
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          },
          {
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        ],
        "capabilities": {
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        "description": "# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nTTS is a model that converts text to natural sounding speech. TTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality. The API supports six different voices.\n\n## Key model capabilities\n\n- TTS: optimized for speed.\n- TTS-HD: optimized for quality.\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nThe provider has not supplied this information.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 4,096 chars can be converted from text to speech per API request.\n\n## Output formats  \n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation \n\nThe provider has not supplied this information.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n",
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        "limits": {},
        "modalities": {
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            "text"
          ],
          "output": [
            "audio"
          ]
        },
        "model_id": "tts",
        "name": "tts",
        "observed_at": "2026-09-02T08:05:46.259Z",
        "provider_id": "azure",
        "raw_type": "Audio models Audio API Text-to-speech models (preview)",
        "release_stage": "preview",
        "replacement_model_ids": [],
        "retired_at": "2026-12-15",
        "scope": "regional_catalog",
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          "Azure OpenAI"
        ],
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          "azure-models",
          "azure-portal-models",
          "azure-api"
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        "status": "active",
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            "namespace": "azure.type",
            "raw_value": "Audio models Audio API Text-to-speech models (preview)",
            "source_ref": "azure-models",
            "task": "speech_synthesis"
          }
        ],
        "tasks": [
          "speech_synthesis"
        ],
        "uid": "azure/tts@001",
        "version": "001"
      },
      {
        "account_availability": "unknown",
        "aliases": [],
        "api_endpoints": [
          {
            "name": "createTranscription",
            "path": "openai/v1/audio/transcriptions"
          },
          {
            "name": "createTranslation",
            "path": "openai/v1/audio/translations"
          }
        ],
        "availability": [
          {
            "deployment_type": "Standard/Regional",
            "region": "eastus2"
          },
          {
            "deployment_type": "Standard/Regional",
            "region": "northcentralus"
          },
          {
            "deployment_type": "Standard/Regional",
            "region": "norwayeast"
          },
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            "deployment_type": "Standard/Regional",
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          },
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            "region": "swedencentral"
          },
          {
            "deployment_type": "Standard/Regional",
            "region": "switzerlandnorth"
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            "deployment_type": "Standard/Regional",
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            "deployment_type": "Standard/Regional",
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            "deployment_type": "Standard",
            "region": "switzerlandnorth"
          },
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            "deployment_type": "Standard",
            "region": "uaenorth"
          },
          {
            "deployment_type": "Standard",
            "region": "westeurope"
          }
        ],
        "capabilities": {
          "batch": "unknown",
          "citations": "unknown",
          "code_execution": "unknown",
          "computer_use": "unknown",
          "context_management": "unknown",
          "effort_control": "unknown",
          "fine_tuning": "unknown",
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        "description": "# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nThe Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (automatic speech recognition) as well as translated into English (speech translation).\n\n## Key model capabilities\n\n- Speech recognition (automatic speech recognition)\n- Speech translation into English\n- Processing of audio up to 25mb per API request\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nThe provider has not supplied this information.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 25mb of audio can be converted from speech to text per API request.\n\n## Output formats  \n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation \n\nResearchers at OpenAI developed the models to study the robustness of speech processing systems trained under large-scale weak supervision.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n",
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        "model_id": "whisper",
        "name": "whisper",
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        "raw_type": "Audio models Audio API Speech-to-text models",
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        "service_families": [
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          "azure-portal-models",
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          },
          {
            "kind": "provider_type",
            "namespace": "azure.type",
            "raw_value": "Audio models Audio API Speech-to-text models",
            "source_ref": "azure-models",
            "task": "translation"
          }
        ],
        "tasks": [
          "transcription",
          "translation"
        ],
        "uid": "azure/whisper@001",
        "version": "001"
      },
      {
        "account_availability": "unknown",
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        },
        "deprecated_at": "2025-08-12",
        "first_seen_at": "2026-08-12T23:08:25.114Z",
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        "modalities": {
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            "text"
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          "output": [
            "text"
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        },
        "model_id": "deepseek-r1-distill-llama-70b",
        "name": "deepseek-r1-distill-llama-70b",
        "observed_at": "2026-08-17T17:06:28.556Z",
        "provider_id": "cerebras",
        "release_stage": "unknown",
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          "qwen-3-32b"
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        "scope": "global_catalog",
        "source_refs": [
          "cerebras-lifecycle"
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        "uid": "cerebras/deepseek-r1-distill-llama-70b"
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            "path": "v1/completions"
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          "streaming": true,
          "structured_output": true,
          "tool_call": true
        },
        "delivery_modes": [
          "streaming"
        ],
        "description": "This model excels at multimodal reasoning across screenshots, documents, diagrams, and design assets. Ideal for visual agentic workflows, image-aware copilots, and teams migrating from closed multimodal APIs to an open model.",
        "first_seen_at": "2026-08-12T23:08:25.114Z",
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          "max_output_tokens": 40960
        },
        "modalities": {
          "input": [
            "text",
            "image"
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          "output": [
            "text"
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        },
        "model_id": "gemma-4-31b",
        "name": "Gemma 4 31B",
        "observed_at": "2026-08-17T17:06:28.556Z",
        "provider_id": "cerebras",
        "release_date": "2026-06-29",
        "release_stage": "preview",
        "replacement_model_ids": [],
        "scope": "global_catalog",
        "source_refs": [
          "cerebras-catalog",
          "cerebras-models",
          "cerebras-releases",
          "cerebras-api"
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        "status": "active",
        "tasks": [
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        "uid": "cerebras/gemma-4-31b"
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        "api_endpoints": [
          {
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            "path": "v1/chat/completions"
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        "capabilities": {
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          "effort_control": true,
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          "tool_call": true
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        "delivery_modes": [
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        ],
        "description": "This model excels at efficient reasoning across science, math, and coding applications. It's ideal for real-time coding assistance, processing large documents for Q&A and summarization, agentic research workflows, and regulated on-premises workloads.",
        "first_seen_at": "2026-08-12T23:08:25.114Z",
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        },
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        "model_id": "gpt-oss-120b",
        "name": "OpenAI GPT OSS",
        "observed_at": "2026-08-17T17:06:28.556Z",
        "provider_id": "cerebras",
        "release_date": "2025-08-05",
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        "scope": "global_catalog",
        "source_refs": [
          "cerebras-catalog",
          "cerebras-models",
          "cerebras-releases",
          "cerebras-api"
        ],
        "status": "active",
        "tasks": [
          "text_generation"
        ],
        "uid": "cerebras/gpt-oss-120b"
      },
      {
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        "aliases": [],
        "capabilities": {
          "batch": "unknown",
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          "fine_tuning": "unknown",
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          "reasoning": "unknown",
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          "tool_call": "unknown"
        },
        "deprecated_at": "2026-02-16",
        "first_seen_at": "2026-08-12T23:08:25.114Z",
        "id_kind": "api_id",
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        "limits": {},
        "modalities": {
          "input": [
            "text"
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          "output": [
            "text"
          ]
        },
        "model_id": "llama-3.3-70b",
        "name": "llama-3.3-70b",
        "observed_at": "2026-08-17T17:06:28.556Z",
        "provider_id": "cerebras",
        "release_date": "2024-12-10",
        "release_stage": "unknown",
        "replacement_model_ids": [
          "gpt-oss-120b"
        ],
        "scope": "global_catalog",
        "source_refs": [
          "cerebras-lifecycle",
          "cerebras-releases"
        ],
        "status": "deprecated",
        "tasks": [
          "text_generation"
        ],
        "uid": "cerebras/llama-3.3-70b"
      },
      {
        "account_availability": "unknown",
        "aliases": [],
        "capabilities": {
          "batch": "unknown",
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          "context_management": "unknown",
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          "fine_tuning": "unknown",
          "prompt_cache": "unknown",
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      "source_id": "xai-language-api"
    },
    {
      "code": "catalog_api_set_mismatch",
      "message": "55 catalog identifiers were absent from the scoped inventory; 0 inventory identifiers were absent from the public catalog.",
      "provider_id": "xai",
      "source_id": "xai-language-api"
    },
    {
      "code": "scope_limited",
      "message": "Inventory is account-scoped and cannot define global catalog presence.",
      "provider_id": "xai",
      "source_id": "xai-image-api"
    },
    {
      "code": "catalog_api_set_mismatch",
      "message": "59 catalog identifiers were absent from the scoped inventory; 0 inventory identifiers were absent from the public catalog.",
      "provider_id": "xai",
      "source_id": "xai-image-api"
    },
    {
      "code": "scope_limited",
      "message": "Inventory is account-scoped and cannot define global catalog presence.",
      "provider_id": "xai",
      "source_id": "xai-video-api"
    },
    {
      "code": "catalog_api_set_mismatch",
      "message": "60 catalog identifiers were absent from the scoped inventory; 0 inventory identifiers were absent from the public catalog.",
      "provider_id": "xai",
      "source_id": "xai-video-api"
    },
    {
      "code": "missing_field",
      "field": "release_date",
      "message": "5 models do not publish an official release date.",
      "provider_id": "xai",
      "source_id": "xai-models"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 2 models omitted by the current non-exhaustive source.",
      "provider_id": "huggingface",
      "source_id": "huggingface-featherless"
    },
    {
      "code": "missing_field",
      "field": "limits.context_tokens",
      "message": "1446 models do not publish a token context limit.",
      "provider_id": "huggingface",
      "source_id": "huggingface-router"
    },
    {
      "code": "missing_field",
      "field": "pricing",
      "message": "Kmodels did not resolve public pricing for 1427 models from the configured official sources.",
      "provider_id": "huggingface",
      "source_id": "huggingface-router"
    },
    {
      "code": "missing_field",
      "field": "release_date",
      "message": "1558 models do not publish an official release date.",
      "provider_id": "huggingface",
      "source_id": "huggingface-router"
    },
    {
      "code": "missing_field",
      "field": "updated_date",
      "message": "181 models do not publish an official update date.",
      "provider_id": "huggingface",
      "source_id": "huggingface-router"
    },
    {
      "code": "source_parse_failed",
      "message": "DashScope recommended-model models contract mismatch: count_outside_bounds at / (expected 15..60 items, observed array)",
      "provider_id": "dashscope",
      "source_id": "dashscope-recommended"
    },
    {
      "code": "source_parse_failed",
      "message": "DashScope text models contract mismatch: count_outside_bounds at / (expected 70..180 items, observed array)",
      "provider_id": "dashscope",
      "source_id": "dashscope-text"
    },
    {
      "code": "source_parse_failed",
      "message": "DashScope vision models contract mismatch: count_outside_bounds at / (expected 12..50 items, observed array)",
      "provider_id": "dashscope",
      "source_id": "dashscope-vision"
    },
    {
      "code": "scope_limited",
      "message": "Inventory is region-scoped and cannot define global catalog presence.",
      "provider_id": "dashscope",
      "source_id": "dashscope-deployable-api"
    },
    {
      "code": "catalog_api_set_mismatch",
      "message": "342 catalog identifiers were absent from the scoped inventory; 2 inventory identifiers were absent from the public catalog.",
      "provider_id": "dashscope",
      "source_id": "dashscope-deployable-api"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 24 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-recommended"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 81 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-text"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 7 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-vision"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 161 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-pricing"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 46 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-lifecycle"
    },
    {
      "code": "source_partial_retention",
      "message": "Retained last verified facts for 3 models omitted by the current non-exhaustive source.",
      "provider_id": "dashscope",
      "source_id": "dashscope-releases"
    },
    {
      "code": "missing_field",
      "field": "limits.context_tokens",
      "message": "274 models do not publish a token context limit.",
      "provider_id": "dashscope",
      "source_id": "dashscope-pricing"
    },
    {
      "code": "missing_field",
      "field": "pricing",
      "message": "Kmodels did not resolve public pricing for 5 models from the configured official sources.",
      "provider_id": "dashscope",
      "source_id": "dashscope-pricing"
    },
    {
      "code": "missing_field",
      "field": "release_date",
      "message": "9 models do not publish an official release date.",
      "provider_id": "dashscope",
      "source_id": "dashscope-pricing"
    },
    {
      "code": "missing_field",
      "field": "updated_date",
      "message": "360 models do not publish an official update date.",
      "provider_id": "dashscope",
      "source_id": "dashscope-pricing"
    },
    {
      "code": "scope_limited",
      "message": "Inventory is account-scoped and cannot define global catalog presence.",
      "provider_id": "cerebras",
      "source_id": "cerebras-api"
    },
    {
      "code": "catalog_api_set_mismatch",
      "message": "13 catalog identifiers were absent from the scoped inventory; 0 inventory identifiers were absent from the public catalog.",
      "provider_id": "cerebras",
      "source_id": "cerebras-api"
    },
    {
      "code": "missing_field",
      "field": "limits.context_tokens",
      "message": "224 models do not publish a token context limit.",
      "provider_id": "ollama",
      "source_id": "ollama-library"
    },
    {
      "code": "missing_field",
      "field": "pricing",
      "message": "Kmodels did not resolve public pricing for 234 models from the configured official sources.",
      "provider_id": "ollama",
      "source_id": "ollama-library"
    },
    {
      "code": "missing_field",
      "field": "release_date",
      "message": "247 models do not publish an official release date.",
      "provider_id": "ollama",
      "source_id": "ollama-library"
    },
    {
      "code": "scope_limited",
      "message": "Inventory is account-scoped and cannot define global catalog presence.",
      "provider_id": "deepseek",
      "source_id": "deepseek-api"
    },
    {
      "code": "missing_field",
      "field": "updated_date",
      "message": "1 model does not publish an official update date.",
      "provider_id": "deepseek",
      "source_id": "deepseek-catalog"
    },
    {
      "code": "source_parse_failed",
      "message": "Kimi model catalog table structure changed",
      "provider_id": "kimi",
      "source_id": "kimi-catalog"
    }
  ]
}
