Configuration management for multi-agent systems requires provider abstraction and runtime flexibility. These articles cover model provider configuration patterns, environment-based switching between LLM backends, and the design decisions that keep multi-agent systems portable across deployment targets.
1 post tagged with config. ← All posts
How to port ADK's model hard-codes to Microsoft Agent Framework's provider factory pattern.
Zero-code LLM provider swaps across environments: Ollama for dev, OpenAI for staging, Azure Foundry for prod. Same agents, different models.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.