new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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AI SDK · Providers · all subjects

openai-compatible/models

13 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

OpenAI Compatible Provider embedding with options example

const { embedding } = await embed({ model: provider.embeddingModel('text-embedding-model'), value: 'The quick brown fox jumps over the lazy dog', providerOptions: { providerName: { dimensions: 512, user: 'user-123', }, }, });

Create language model with OpenAI Compatible Provider

Language models can be created using three methods: provider('model-id') creates a chat language model, provider.languageModel('model-id') creates a chat language model (same as provider()), and provider.chatModel('model-id') creates a chat language model.

OpenAI Compatible Provider generateText example

const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); const { text } = await generateText({ model: provider('model-id'), prompt: 'Write a vegetarian lasagna recipe for 4 people.', });

Type-safe model IDs for OpenAI Compatible Provider

You can define TypeScript generic types for model IDs to enable auto-completion while still allowing free-form strings. createOpenAICompatible accepts four generic type parameters: ExampleChatModelIds, ExampleCompletionModelIds, ExampleEmbeddingModelIds, and ExampleImageModelIds. Each type can include literal string values for specific model IDs or (string & {}) to allow any string.

OpenAI Compatible Provider image model creation

Image models can be created using the .imageModel() factory method: const model = provider.imageModel('model-id');

OpenAI Compatible Provider image generation example

const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); const { images } = await generateImage({ model: provider.imageModel('model-id'), prompt: 'A futuristic cityscape at sunset', size: '1024x1024', providerOptions: { providerName: { quality: 'high', output_format: 'jpeg', output_compression: 80, background: 'opaque', } satisfies OpenAICompatibleImageModelOptions, }, });

OpenAI Compatible Provider basic image editing example

const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); const imageBuffer = fs.readFileSync('./input-image.png'); const { images } = await generateImage({ model: provider.imageModel('model-id'), prompt: { text: 'Turn the cat into a dog but retain the style of the original image', images: [imageBuffer], }, });

OpenAI Compatible Provider inpainting with mask example

const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); const image = fs.readFileSync('./input-image.png'); const mask = fs.readFileSync('./mask.png'); const { images } = await generateImage({ model: provider.imageModel('model-id'), prompt: { text: 'A sunlit indoor lounge area with a pool containing a flamingo', images: [image], mask, }, });

OpenAI Compatible Provider embedding model creation

Embedding models can be created using the .embeddingModel() factory method: const model = provider.embeddingModel('model-id');

OpenAI Compatible Provider embedding example

const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); const { embedding } = await embed({ model: provider.embeddingModel('text-embedding-model'), value: 'The quick brown fox jumps over the lazy dog', });

OpenAI Compatible Provider completion model creation

Completion models (for text completion, not chat) can be created using the .completionModel() factory method: const model = provider.completionModel('model-id');

OpenAI Compatible Provider chat model with reasoning example

const { text } = await generateText({ model: provider('model-id'), prompt: 'Solve this step by step: What is 15 * 23?', providerOptions: { providerName: { user: 'user-123', reasoningEffort: 'high', }, }, });

OpenAI Compatible Provider completion model

To use a completion model with an OpenAI-compatible provider: 1. Create the provider: ```javascript const provider = createOpenAICompatible({ name: 'providerName', apiKey: process.env.PROVIDER_API_KEY, baseURL: 'https://api.provider.com/v1', }); ``` 2. Generate text with the completion model: ```javascript const { text } = await generateText({ model: provider.completionModel('completion-model-id'), prompt: 'The quick brown fox', }); ``` 3. Optionally, pass provider-specific options via `providerOptions`: ```javascript const { text } = await generateText({ model: provider.completionModel('completion-model-id'), prompt: 'The quick brown fox', providerOptions: { providerName: { echo: true, suffix: ' The end.', user: 'user-123', }, }, }); ``` The `providerOptions` object uses the provider name as a key and accepts provider-specific settings like `echo`, `suffix`, and `user`.

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