Server-side graph entry point for langgraph dev.
This module is referenced by the generated langgraph.json and exposes the
agent graph as a module-level variable that the LangGraph server can load
and serve.
The graph is created at module import time via make_graph(), which reads
configuration from ServerConfig.from_env() — the same dataclass the CLI uses
to write the configuration via ServerConfig.to_env(). This shared schema
ensures the two sides stay in sync.
Read the server project context from environment transport data.
Create the agent graph from environment-based configuration.
Reads DEEPAGENTS_CODE_SERVER_* env vars via ServerConfig.from_env()
(the inverse of ServerConfig.to_env() used by the app process), resolves a
model, assembles tools, and compiles the agent graph.
Full configuration payload passed from the app to the server subprocess.
Serialized to/from DEEPAGENTS_CODE_SERVER_* environment variables so
that the server graph (which runs in a separate Python interpreter)
can reconstruct the app's intent without sharing memory.
Explicit user/project path context for project-sensitive behavior.
