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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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6
libs/community/tests/integration_tests/llms/test_xinference.py
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@@ -46,12 +46,12 @@ def test_xinference_llm_(setup: Tuple[str, str]) -> None:
llm = Xinference(server_url=endpoint, model_uid=model_uid)
answer = llm(prompt="Q: What food can we try in the capital of France? A:")
answer = llm.invoke("Q: What food can we try in the capital of France? A:")
assert isinstance(answer, str)
answer = llm(
prompt="Q: where can we visit in the capital of France? A:",
answer = llm.invoke(
"Q: where can we visit in the capital of France? A:",
generate_config={"max_tokens": 1024, "stream": True},
)