Building a Provider-Agnostic Agent: Unified Context Handoff Across LLMs

As organizations adopt multiple large language models for different tasks, the need for a unified agent architecture becomes critical. This article discusses how to abstract provider-specific APIs and manage context handoff between models, enabling seamless switching without losing conversational state. Key considerations include defining a common interface, handling token limits, and preserving context across model boundaries. The approach reduces vendor lock-in and allows teams to leverage the strengths of different models for specific subtasks. For developers building production-grade AI systems, understanding these patterns is essential for creating flexible and maintainable agent frameworks.