This code integrates an asynchronous OpenAI client with a LiteralAI client to create a conversational agent. It utilizes LiteralAI’s step decorators for structured logging and tool orchestration within a conversational flow. The agent can process user messages, make decisions on tool usage, and generate responses based on a predefined set of tools and a maximum iteration limit to prevent infinite loops.

.env
LITERAL_API_KEY=
OPENAI_API_KEY=

With the integration of Literal AI, you can now visualize runs and LLM calls directly on the Literal AI platform, enhancing transparency and debuggability of your AI-driven applications.

Was this page helpful?

RAG ExampleConversational Agent Monitoring