> ## Documentation Index > Fetch the complete documentation index at: https://praison.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # LLM • TypeScript AI Agent SDK > * LLM - Configuration surface and an OpenAI-compatible base client. # llm TypeScript AI Agent * LLM - Configuration surface and an OpenAI-compatible base client. * Python parity with praisonaiagents/llm/llm.py `LLM.__init__`. Every constructor parameter of the Python class is accepted here and honoured: * * Request-shaped options reach the Chat Completions body built by \{ - Transport-shaped options reach the client built by \{ - `maxIter` bounds the tool-calling loop in \{ - `events` are listeners invoked on request start/end, tool calls, errors and retries (Python: litellm callbacks + display callbacks). - `failoverManager` rotates credentials on retryable failures. - `promptCaching`, `webFetch` and `claudeMemory` emit the Anthropic-specific request shapes Python emits, and are rejected on models that cannot carry them rather than silently ignored. - `auth` resolves credentials from an object, a function or a registered named provider. ## Import ```typescript theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}} import { llm } from 'praisonai'; ``` ## Classes TypeScript LLMEvent class TypeScript LLMEventHooks class TypeScript LLMFailoverProfile class TypeScript LLMFailoverManager class TypeScript LLMFailoverDecision class TypeScript ClaudeMemoryBackend class TypeScript LLMConfig class TypeScript LLMResponse class TypeScript LLM class TypeScript LLMGenerateOptions class TypeScript LLMToolLoopOptions class TypeScript LLMToolCallRecord class TypeScript LLMToolLoopResult class TypeScript LLMRequestOptions class TypeScript BaseLLM class ## Functions Function definition. Function definition. *** ## Related Documentation