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patch: remove usage of llm, chat model __call__ (#20788)

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- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
This commit is contained in:
ccurme
2024-04-24 19:39:23 -04:00
committed by GitHub
parent 9b7fb381a4
commit 481d3855dc
181 changed files with 395 additions and 403 deletions
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9
libs/community/langchain_community/cache.py
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@@ -1115,7 +1115,8 @@ class CassandraCache(BaseCache):
) -> None:
"""
A wrapper around `delete` with the LLM being passed.
In case the llm(prompt) calls have a `stop` param, you should pass it here
In case the llm.invoke(prompt) calls have a `stop` param, you should
pass it here
"""
llm_string = get_prompts(
{**llm.dict(), **{"stop": stop}},
@@ -1505,7 +1506,8 @@ class AstraDBCache(BaseCache):
) -> None:
"""
A wrapper around `delete` with the LLM being passed.
In case the llm(prompt) calls have a `stop` param, you should pass it here
In case the llm.invoke(prompt) calls have a `stop` param, you should
pass it here
"""
llm_string = get_prompts(
{**llm.dict(), **{"stop": stop}},
@@ -1518,7 +1520,8 @@ class AstraDBCache(BaseCache):
) -> None:
"""
A wrapper around `adelete` with the LLM being passed.
In case the llm(prompt) calls have a `stop` param, you should pass it here
In case the llm.invoke(prompt) calls have a `stop` param, you should
pass it here
"""
llm_string = (
await aget_prompts(