17 docs tagged with "advanced"

Build sophisticated multi-agent systems combining sequential and parallel workflows for complex business processes and decision-making systems.

Create self-improving agents using LoopAgent for iterative refinement, quality control, and progressive enhancement of outputs.

Implement safety guardrails and monitoring callbacks to control agent behavior, prevent harmful outputs, and track agent performance.

Implement planning and reasoning capabilities in agents using strategic thinking patterns, task decomposition, and execution planning.

Enable your agents to write and execute Python code for calculations, data analysis, and complex computations using Gemini 2.0+'s built-in code execution capability.

Build streaming agents that deliver real-time responses to users, perfect for chat interfaces and live updates using Server-Sent Events.

Create voice-enabled agents using Gemini's Live API for real-time audio streaming and voice-to-voice conversations.

Integrate MCP servers for standardized tool access including filesystem, databases, and external services using the Model Context Protocol.

Build distributed agent systems with agent-to-agent communication, delegation, and coordination for complex multi-agent orchestration.

Implement comprehensive observability for agents with event tracking, metrics collection, and monitoring dashboards for production systems.

Generate and manage files, documents, and artifacts using agents for content creation, code generation, and file processing workflows.

Build agents that process images, documents, and multimodal content using Gemini's vision capabilities for visual analysis and understanding.

Implement enterprise-grade observability with metrics, traces, logs, and alerting for production agent systems at scale.

Learn essential best practices for building production-ready agents including security, performance, testing, and maintenance strategies.

Deploy and manage agents on Gemini Enterprise for enterprise-grade agent orchestration, collaboration, and governance.

Integrate third-party services and tools into agents using REST APIs, SDKs, and custom toolsets for extended functionality.

Configure agents to work with different LLM providers including OpenAI, Anthropic, and local models for diverse AI capabilities.