# API Reference - [Core API Reference](https://docs.convai.com/api-docs/api-reference/core-api-reference.md): Explore Convai’s Core APIs, divided into Character Crafting and Interaction APIs, to create, customize, and interact with intelligent AI characters. - [Character Crafting APIs](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis.md): Create and configure AI characters with Convai’s Character Crafting APIs to define their personality, behavior, knowledge and more. - [Character Base API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/character-api.md): All the relevant APIs needed to create your own intelligent AI characters with Convai. - [Backstory API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/backstory-api.md): Learn how to use the Backstory API to create and manage character backstories, adding depth and personality to your NPCs. - [Mindview API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/mindview-api.md): Learn how to use the Backstory API to create and manage character backstories, adding depth and personality to your NPCs. - [Core AI Settings API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/core-ai-settings-api.md): All the relevant APIs needed to modify Core AI setting of your Convai Character. - [Narrative Design API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/narrative-design-api.md): The page list all the APIs needed to interact Narrative Design - [Knowledge Bank API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/knowledge-bank-api.md): All the relevant APIs needed to interact with Knowledge Bank for you AI characters with Convai. - [Action API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/action-api.md): This page describes the Action API and how to use it. - [Chat History API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/chat-history-api.md): All the relevant APIs needed to interact with Chat History of a session or character. - [Chat History Delete API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/chat-history-delete-api.md): API endpoint for deleting character sessions. - [Evaluation API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/evaluation-api.md): API to evaluate a conversation transcript based on user defined attributes (e.g. clarity of responses, courtesy, listening skills, and more). - [Language List API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/language-list-api.md): API to retrieve the full list of languages, both public and private, available to a user. - [Voice List API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/voice-list-api.md): API to retrieve the full list of voices, both public and private, available to a user. - [Character List API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/character-list-api.md): API to retrieve the list of characters, created by a user. - [Custom LLM API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/custom-llm-api.md): Manage your private LLM integrations on Convai. Register, update, or delete OpenAI-compatible custom models securely through simple API endpoints. - [Text to Speech API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/text-to-speech-api.md): This page explains how to interact with the standalone Text-to-Speech (TTS) API to generate audio from a given transcript, using a selected voice from the available voice list. - [Streaming Transcription API](https://docs.convai.com/api-docs/api-reference/core-api-reference/character-crafting-apis/streaming-transcription-api.md): Stream audio to Convai’s ASR engine using WebSockets and receive real-time transcriptions. Designed for low-latency, intelligent voice experiences with your AI characters. - [Live APIs (Beta)](https://docs.convai.com/api-docs/api-reference/core-api-reference/live-apis-beta.md): Enable real-time, low-latency interaction with Convai AI characters through WebRTC-based Live APIs that support text, audio, and dynamic contextual communication. - [Connect API](https://docs.convai.com/api-docs/api-reference/core-api-reference/live-apis-beta/connect-api.md): Establish a live chatbot session for your Convai character, enabling users to connect via audio or video and maintain conversational context. - [Metrics](https://docs.convai.com/api-docs/api-reference/core-api-reference/live-apis-beta/metrics.md): This page explains the metrics sent to clients over the WebRTC data channel. - [Interaction APIs](https://docs.convai.com/api-docs/api-reference/core-api-reference/interaction-apis.md): Enable real-time interaction with AI characters using Convai’s Interaction APIs for natural text and voice-based communication. - [Interaction API (Beta)](https://docs.convai.com/api-docs/api-reference/core-api-reference/interaction-apis/interaction-api-beta.md): Enable real-time conversational AI with Convai’s Interaction API. Send text messages to your AI character and receive natural, streaming responses using Server-Sent Events (SSE). - [Interaction API](https://docs.convai.com/api-docs/api-reference/core-api-reference/interaction-apis/interaction-api.md): This page details on how you can interact with Character. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.convai.com/api-docs/api-reference.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. 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