Developed a contextual update capability for the elevenlabs-python repository, enabling external contextual information to be dynamically passed into AI conversations. This feature was implemented by introducing the send_contextual_update method within the Conversation class, which supports contextual_update events to enhance context continuity and response relevance. The work focused on API development using Python, with an emphasis on robust testing and integration of WebSockets for real-time updates. By allowing dynamic context injection, the solution improved the adaptability of AI-driven conversations and facilitated more context-aware client workflows, addressing the need for seamless context management in conversational AI applications within the project’s codebase.