Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
9 of 1313 articles
Master Gemini's function calling capabilities to build agents that use external tools. Learn tool definitions, function declarations, automatic execution, and multi-turn tool use patterns.
Explore how to leverage Gemini's massive 1 million token context window for analyzing entire codebases, processing full books, and building agents that reason over large document collections.
Build agents that see, hear, and understand multiple media types simultaneously. Learn Gemini's media upload API, inline data handling, video analysis, and audio transcription capabilities.
Learn how to use Gemini's built-in Google Search grounding to build agents that access real-time information, handle citations properly, and deliver accurate, up-to-date responses.
Build a code agent with Gemini that generates Python code, executes it in a sandboxed environment, analyzes results, and iteratively debugs failures. Includes the code execution API and test generation patterns.
Learn how to get reliable JSON output from Gemini using response_mime_type, JSON schemas, enum constraints, and validation. Build agents that produce machine-readable structured data every time.
Implement Gemini streaming for real-time token delivery in agent UIs. Learn stream_generate_content, chunk handling, SSE integration with FastAPI, and building responsive chat interfaces.
A practical comparison of Google Gemini, OpenAI GPT-4, and Anthropic Claude for building AI agents. Covers benchmarks, cost analysis, feature matrices, and use case recommendations.
