Welcome to the AI Insights API documentation! This API provides a suite of powerful artificial intelligence capabilities accessible via simple HTTP requests. Whether you need to generate creative text, analyze the content of an image, or understand the sentiment behind a piece of text, the AI Insights API offers robust and scalable solutions.
This documentation aims to provide developers with all the necessary information to integrate and utilize the AI Insights API effectively, including authentication details, endpoint specifications, request/response examples, and error handling.
Key Features:
All requests to the AI Insights API must be authenticated using an API Key. Your API Key is a unique string that identifies your application and grants you access to the API.
How to Authenticate:
Include your API Key in the Authorization header of every request, using the Bearer scheme.
Header Example:
### 6. Endpoints #### 6.1. Generate Text Generates human-like text based on a given prompt and optional parameters. * **Endpoint**: `/v1/generate/text` * **Method**: `POST` * **Description**: Creates diverse and coherent text content, suitable for creative writing, content generation, or summarization. **Request Body Parameters:** | Parameter | Type | Required | Description | Example | | :------------ | :-------- | :------- | :-------------------------------------------------------------------------- | :--------------------------------------- | | `prompt` | `string` | Yes | The initial text prompt to guide the generation. | "Write a short story about a robot who discovers art." | | `max_tokens` | `integer` | No | The maximum number of tokens (words/subwords) to generate. Default: `100`. | `200` | | `temperature` | `number` | No | Controls the randomness of the output. Higher values mean more random. Range: `0.1` to `1.0`. Default: `0.7`. | `0.9` | | `model` | `string` | No | Specifies the AI model to use for generation. Default: `standard`. Options: `standard`, `creative`, `concise`. | `creative` | **Request Example:**
We are actively developing official client libraries for popular programming languages to simplify your integration with the AI Insights API.
pip install aiinsights-sdknpm install @aiinsights/sdkStay tuned for announcements on our developer portal!
If you encounter any issues, have questions, or would like to provide feedback, please reach out to our support team:
support@aiinsights.com* Recommendation: Implement an OpenAPI (formerly Swagger) specification for your API. This allows for automated generation of interactive documentation (Swagger UI), client SDKs, and server stubs.
* Action: Create an openapi.yaml or openapi.json file that formally describes all endpoints, parameters, responses, and authentication methods. Host it alongside your documentation for dynamic exploration.
* Recommendation: Clearly define and communicate your API versioning strategy. Using v1 in the endpoint path is a good start.
* Action: Establish guidelines for backward compatibility and breaking changes. Inform users well in advance of any upcoming version changes or deprecations.
* Recommendation: Ensure error messages are as descriptive and actionable as possible. The current examples are good, but consider adding unique error identifiers for easier debugging.
* Action: For specific validation errors, pinpoint the exact field causing the issue (e.g., "Field 'temperature' must be between 0.1 and 1.0").
* Recommendation: Beyond Bearer tokens, consider additional security measures like IP whitelisting for production environments or short-lived tokens for specific operations.
* Action: Provide clear instructions on how to securely store and manage API keys, emphasizing the dangers of hardcoding them.
* Recommendation: Prioritize the development of official SDKs for popular languages. They abstract away HTTP requests, JSON parsing, and authentication, significantly reducing integration time for developers.
* Action: As mentioned, start with Python and Node.js, then expand based on user demand.
* Recommendation: For endpoints involving complex inputs (like image analysis with base64), provide an interactive tool or a link to a playground where users can test the API directly.
* Action: Consider embedding a "Try it out" feature directly within your documentation for each endpoint.
* Recommendation: Document expected response times for different types of requests, especially for AI tasks that might be computationally intensive.
* Action: Provide tips for optimizing requests (e.g., batching for sentiment analysis, choosing lighter models for text generation).
* Recommendation: Beyond just endpoint definitions, provide practical guides and tutorials that walk users through common use cases.
* Action: Create a "Getting Started" guide and tutorials like "Building a Chatbot with Text Generation" or "Image Content Moderation."
| Category | Detail |
| :---------------------- | :---------------------------------------------------------------------- |
| API Name | AI Insights API |
| Description | Provides AI-powered text generation, image analysis, and sentiment detection. |
| Base URL | https://api.aiinsights.com/ |
| Authentication Method | Bearer Token (API Key in Authorization header) |
| Rate Limit | 100 requests/minute per API Key |
| Error Handling | Standard HTTP status codes with JSON error objects (code, message) |
| Number of Endpoints | 3 (Generate Text, Analyze Image, Analyze Sentiment) |
| Output Format