inception-ai-provider

Vercel AI SDK provider for the Inception API.

Supports chat completions with streaming, tool calling, structured outputs, and reasoning effort control. Compatible with ai@^6.0.0 (AI SDK v6 / LanguageModelV3).

Installation

npm install inception-ai-provider ai

Setup

Set your API key via environment variable:

export INCEPTION_API_KEY=your-api-key

Or pass it directly when creating the provider:

import { createInception } from "inception-ai-provider"

const inception = createInception({ apiKey: "your-api-key" })

Usage

Chat

import { generateText } from "ai"
import { inception } from "inception-ai-provider"

const { text } = await generateText({
  model: inception("mercury-2"),
  prompt: "What is a diffusion model?",
})

Streaming

import { streamText } from "ai"
import { inception } from "inception-ai-provider"

const result = streamText({
  model: inception("mercury-2"),
  prompt: "Write a short poem.",
})

for await (const chunk of result.textStream) {
  process.stdout.write(chunk)
}

Tool Calling

import { generateText } from "ai"
import { inception } from "inception-ai-provider"
import { z } from "zod"

const { text, toolCalls } = await generateText({
  model: inception("mercury-2"),
  prompt: "What's the weather in San Francisco?",
  tools: {
    getWeather: {
      description: "Get the current weather in a given location",
      parameters: z.object({
        location: z.string().describe("City and state, e.g. 'San Francisco, CA'"),
      }),
      execute: async ({ location }) => `72°F and sunny in ${location}`,
    },
  },
})

Structured Output

import { generateObject } from "ai"
import { inception } from "inception-ai-provider"
import { z } from "zod"

const { object } = await generateObject({
  model: inception("mercury-2"),
  prompt: "Analyze the sentiment of: 'I love this product!'",
  schema: z.object({
    sentiment: z.enum(["positive", "negative", "neutral"]),
    confidence: z.number().min(0).max(1),
  }),
})

Reasoning Effort

import { createInception } from "inception-ai-provider"

const inception = createInception()

// Near-instant responses (skips reasoning)
const fast = inception("mercury-2", { reasoningEffort: "instant" })

// Deep reasoning
const deep = inception("mercury-2", { reasoningEffort: "high" })

Configuration

const inception = createInception({
  baseURL: "https://custom-endpoint.example.com", // default: https://api.inceptionlabs.ai
  apiKey: "your-api-key",                          // default: INCEPTION_API_KEY env var
  headers: { "X-Custom": "value" },                // extra headers per request
})

Compatibility

| inception-ai-provider | ai (peer dep) | Specification | |-----------------------|---------------|-----------------| | 0.3.x | ^6.0.0 | LanguageModelV3 | | 0.2.x | ^5.0.0 | LanguageModelV2 | | 0.1.x | — | LanguageModelV1 |

Limitations

• No file/image inputs -- text only
• No embedding models
• No image generation models
• topK is accepted but produces a warning (not sent to API)
• Tool calling and structured outputs are only available in 0.3.x (LanguageModelV3)

License

MIT