A practical migration path from Google's Agent Development Kit to the Microsoft Agent Framework — concept mapping, code translation, and the gotchas that bite.
The philosophy, trade-offs, and what we learned converting 18+ agents in 3 months.
The philosophy, trade-offs, and what we learned converting 18+ agents in 3 months. Provider abstraction as the foundation for portable agents.
How to port ADK's orchestration callbacks to Microsoft Agent Framework builders without losing control.
How to port ADK's orchestration callbacks to Microsoft Agent Framework builders without losing control. The executor pattern: you own the loop.
How conversation threads replace session state; how to track token usage across agent chains.
Sessions to threads: porting multi-turn state from ADK to Microsoft Agent Framework. Token budgeting, long-term memory, and conversation audit trails.
How to port tools, add policy enforcement, and integrate OPA.
Migrate ADK functions to Microsoft Agent Framework governed tools with policy enforcement, DLP scanning, approval gates, and OPA integration for production agent systems.
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.
How to instrument agents for observability, error handling, and audit logging.
Migrate ADK callbacks to Microsoft Agent Framework composable middleware: decorators for audit logging, retry with backoff, token budget enforcement, and OpenTelemetry tracing.
Running agents on Cloud Run, exposing via A2A, and wiring into production systems.
Deploy Microsoft Agent Framework multi-agent systems on Cloud Run with A2A agent-to-agent communication, autoscaling, load balancing, and production observability dashboards.
The patterns that worked, the traps we fell into, and what we'd do differently.
What worked, what was hard, and what we'd do differently. Real numbers: 18 agents, 90 days, 5 governance policies, 4 provider swaps.
This series is part of a larger body of work by Pratik Dhanave, an Agentic AI Architect writing about production AI systems, distributed systems, and cloud-native engineering. Explore all course series, browse every post, or find topics via the tag index.