Migration guides¶
Move existing tool code onto the adapter one step at a time. Each guide has a mapping table, a before-and-after example, what you gain and lose, and a checklist.
flowchart LR
R["hand-written provider tool calling"] --> REG[("Registry + Executor")]
L["LangChain @tool"] --> REG
A["a hand-rolled approval flow"] --> REG
G["a LangGraph app"] --> REG
REG --> ANY["any model API, framework,<br/>HTTP or MCP client"]
| From | Guide |
|---|---|
| tools of LangChain, CrewAI, ADK, Pydantic AI and other frameworks, found for you | agent-adapter migrate: a read-only report and a suggested diff |
| raw OpenAI or Anthropic tool calling (JSON schemas and a dispatch dict) | Raw tool calling |
LangChain @tool functions |
LangChain tools |
| a "needs approval" table you wrote yourself | Hand-rolled approval |
| a LangGraph graph | Migrate from LangGraph (tutorial) |
The order that works¶
- Register the tools; keep calling them the old way.
- Route every call through one
Executor. - Turn on the policies you need:
confirm=, budgets, caching. - Delete the old schemas, dispatch tables and approval code.
Every step ships on its own and can be rolled back.
The examples are examples/guide_migrate_*.py; tests/docs/test_migration.py runs them.