call_llm.py DOX

Purpose

Own the call_llm.py helper module.
This module wraps LiteLLM/model calls with examples, streaming, and extension hooks.
Keep this file-level DOX profile synchronized with call_llm.py because this directory is intentionally flat.

call_llm.py owns the runtime implementation.
call_llm.py.dox.md owns durable notes about responsibilities, contracts, side effects, and verification for that implementation.
Classes:
Example (TypedDict)
Top-level functions:
async call_llm(system: str, model: BaseChatModel | BaseLLM, message: str, examples: list[Example]=..., callback: Callable[[str], None] | None=...)

Helper modules own reusable framework APIs and must preserve public callers unless all callers, tests, and docs are updated together.
Update this file whenever public functions, classes, persistence behavior, path/security assumptions, side effects, or cross-module contracts change.
Observed side-effect areas: model calls.
Imported dependency areas include: langchain.prompts, langchain.schema, langchain_core.language_models.chat_models, langchain_core.language_models.llms, langchain_core.messages, typing.

Important called helpers/classes observed in the source: ChatPromptTemplate.from_messages, FewShotChatMessagePromptTemplate, few_shot_prompt.format, chain.astream, HumanMessage, AIMessage, SystemMessage, callback.
Keep request/response, tool, or helper semantics documented here at the same time as source changes.

Preserve public helper APIs used by core code and plugins unless every caller is updated.
Keep path, auth, secret, persistence, network, and subprocess behavior explicit and bounded.
Prefer adding cohesive helper functions here only when behavior is reused across modules.

Run targeted tests for changed helper behavior; run security regressions for auth, filesystem, WebSocket, tunnel, upload, or secret-handling helpers.
No direct test reference was found by name search; choose the nearest behavioral test or perform a focused smoke check.

No child DOX files.