{
    "$schema": "./provider-catalog.schema.json",
    "id": "inception-labs",
    "displayName": "Inception Labs",
    "aliases": ["inception", "mercury"],
    "tier": 2,
    "wire": {
        "baseURL": "https://api.inceptionlabs.ai/v1"
    },
    "models": {
        "default": "mercury-2",
        "fallbacks": ["mercury-2"],
        "defaultContextWindow": 128000,
        "defaultMaxOutputTokens": 50000,
        "catalog": {
            "mercury-2": {
                "contextWindow": 128000,
                "maxOutputTokens": 50000,
                "pricingPerMTok": {
                    "input": 0.25,
                    "output": 0.75,
                    "cachedInput": 0.025
                },
                "vision": false,
                "status": "production",
                "description": "Recommended - Mercury 2, Inception's enterprise diffusion LLM (dLLM); reasoning, tool use, structured output; 128K context, 1000+ tok/s"
            }
        }
    },
    "capabilities": {
        "text": true,
        "streaming": true,
        "tools": true,
        "toolsWithStreaming": true,
        "structuredOutput": true,
        "structuredOutputWithTools": true,
        "embeddings": false,
        "thinking": false
    },
    "errorRules": [
        {
            "pattern": "Model must be one of the following",
            "class": "invalid-model",
            "message": "Inception Labs model '{model}' is not valid. Pick a current model \u2014 see https://docs.inceptionlabs.ai/get-started/models."
        }
    ],
    "setup": {
        "url": "https://platform.inceptionlabs.ai/dashboard/api-keys",
        "apiKeyFormat": "^sk_[A-Za-z0-9_-]+$",
        "billingPolicy": "free-tier",
        "instructions": [
            "1. Visit: https://platform.inceptionlabs.ai and sign in (Google OAuth works)",
            "2. New accounts get 100M free tokens with no card required",
            "3. Create an API key under Dashboard -> API Keys",
            "4. Set {apiKeyEnvVar} in your .env file"
        ]
    },
    "evidence": {
        "rosterVerified": {
            "date": "2026-09-03",
            "method": "authenticated GET /v1/models",
            "status": 200
        },
        "authProbe": {
            "date": "2026-09-03",
            "status": 401,
            "code": "invalid_api_key"
        },
        "liveMatrix": {
            "date": "2026-09-03",
            "result": "Full capability sweep on mercury-2: chat, stream, system_role, content_text_parts, sampling_params, tools, tools_stream, tools_roundtrip_null, tool_choice_without_tools, json_object, json_schema and tools_plus_schema all 200. The smoke-test json_schema probe (max_tokens:60) came back truncated (finish_reason=length, null content) because this diffusion model spends part of the budget on reasoning tokens before content; re-probed live with max_tokens:300 and got a clean schema-conformant reply ({\"name\":\"Lila Whitaker\",\"age\":34}, finish_reason=stop), confirming structuredOutput:true is correct. vision is 400 (text-only; rejects image_url on mercury-2, matching the vendor docs' 'Supported Formats: Text'). bad_key is 401 'Incorrect API key provided'. bad_model is 400 with an array-shaped pydantic error.message; the shared OpenAI-compat wire-error builder coerces a non-string Error message via toString, so that array becomes the literal string \"[object Object]\" and no regex pattern can match the real text \u2014 errorRules is intentionally left empty rather than shipping a rule that can never fire (see notes)."
        },
        "addedInPR": "pending"
    }
}