langgraph-configuration

You can configure LangGraph agents dynamically at runtime by passing configuration files and runtime parameters via `RunnableConfig`, which allows you to adjust tools, prompts, models, and context schemas without altering core code.

Yes, you can select different LangGraph models and tools dynamically based on invocation context or configuration, enabling flexible agent setup tailored to specific users or scenarios.

The best way to set up config-driven LangGraph agents is to define agent behavior, tools, and prompts declaratively in configuration files, utilizing `context_schema`, `Runtime`, and persistent `Store` for flexible setup.

Yes, LangGraph runtime configuration supports dynamically setting `RunnableConfig`, context schemas, prompts, and tools, allowing you to adapt your agents for different scenarios by simply changing a configuration file.

`RunnableConfig` works with LangGraph persistent `Store` to enable config-driven agent setup, allowing dynamic adjustments to models and tools while maintaining persistent context across different invocations.

You need to use runtime configuration for LangGraph agents when you must easily adapt your agents for different users or scenarios, requiring dynamic adjustments to tools, prompts, models, and context without modifying core code.