# Specifications

Configure LLM models, embeddings, and custom specifications for workflows and conversations.

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## Model Configuration

* [Create Custom Model](/api-guides/use-cases/specifications/specification-create-custom-model.md) - GPT-4, Claude, Gemini
* [Create OpenAI-Compatible Gateway](/api-guides/use-cases/specifications/specification-create-openai-compatible.md) - 🌐 OpenRouter, Vercel AI Gateway
* [Create Completion Spec](/api-guides/use-cases/specifications/specification-create-completion.md) - LLM configuration
* [Create Embedding Model](/api-guides/use-cases/specifications/specification-create-embedding.md) - Text embeddings config

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## Operations

* [Query Specifications](/api-guides/use-cases/specifications/specification-query.md) - List and filter
* [Update Specification](/api-guides/use-cases/specifications/specification-update.md) - Modify settings
* [Delete Specification](/api-guides/use-cases/specifications/specification-delete.md) - Remove spec

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**8 guides** | [← Back to Use Cases](/api-guides/use-cases.md)


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.