LangChain v1 (LCEL + create_agent)
LangChain v1: exposes LLMs, prompts, tools, retrievers, and parsers as Runnables composed via the `|` operator (LCEL) into chains with uniform invoke / stream / batch semantics. create_agent returns a LangGraph CompiledStateGraph.
Overview
Constraints
Evidence Quality
High confidence — strong evidence base
1 non-negotiable constraints
WHENWhen defining a Pydantic model schema to pass to PydanticOutputParser, .with_structured_output(model), bind_tools, or any LCEL parser construction
ACTIONPick ONE pydantic version per parser/tool boundary and stick to it. Do NOT mix `from pydantic import BaseModel` and `from langchain.pydantic_v1 import BaseModel` (or `from pydantic.v1 import BaseModel`) in the same file. For new code use pydantic v2 (`from pydantic import BaseModel`). Migrating legacy v1 schemas: import is the discriminator — change ALL relevant model classes together, never partially.
CONSEQUENCEundefined behavior
FAQ
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Changelog
v0.1.0: Initial release on Doramagic.ai. LCEL framework on langchain-ai/langchain v1.2.15 with bilingual metadata, 51 anti-pattern constraints, and 3 FAQs.
v0.1.0: Initial release on Doramagic.ai. LCEL framework on langchain-ai/langchain v1.2.15 with bilingual metadata, 51 anti-pattern constraints, and 3 FAQs.