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@@ -1,64 +0,0 @@
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"""Test __ModuleName__LLM llm."""
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from __module_name__.llms import __ModuleName__LLM
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def test_stream() -> None:
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"""Test streaming tokens from OpenAI."""
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llm = __ModuleName__LLM()
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for token in llm.stream("I'm Pickle Rick"):
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assert isinstance(token, str)
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async def test_astream() -> None:
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"""Test streaming tokens from OpenAI."""
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llm = __ModuleName__LLM()
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async for token in llm.astream("I'm Pickle Rick"):
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assert isinstance(token, str)
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async def test_abatch() -> None:
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"""Test streaming tokens from __ModuleName__LLM."""
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llm = __ModuleName__LLM()
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result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
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for token in result:
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assert isinstance(token, str)
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async def test_abatch_tags() -> None:
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"""Test batch tokens from __ModuleName__LLM."""
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llm = __ModuleName__LLM()
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result = await llm.abatch(
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["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
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)
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for token in result:
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assert isinstance(token, str)
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def test_batch() -> None:
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"""Test batch tokens from __ModuleName__LLM."""
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llm = __ModuleName__LLM()
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result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
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for token in result:
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assert isinstance(token, str)
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async def test_ainvoke() -> None:
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"""Test invoke tokens from __ModuleName__LLM."""
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llm = __ModuleName__LLM()
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result = await llm.ainvoke("I'm Pickle Rick", config={"tags": ["foo"]})
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assert isinstance(result, str)
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def test_invoke() -> None:
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"""Test invoke tokens from __ModuleName__LLM."""
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llm = __ModuleName__LLM()
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result = llm.invoke("I'm Pickle Rick", config=dict(tags=["foo"]))
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assert isinstance(result, str)
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@@ -1,8 +1,23 @@
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"""Test chat model integration."""
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from langchain_standard_tests.unit_tests import ChatModelUnitTests
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from typing import Tuple, Type
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from langchain_core.language_models import BaseChatModel
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from __module_name__.chat_models import Chat__ModuleName__
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def test_initialization() -> None:
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"""Test chat model initialization."""
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Chat__ModuleName__()
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class TestChat__ModuleName__StandardUnitTests(ChatModelUnitTests):
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"""Standard LangChain interface tests, applied to __ModuleName__."""
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@property
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def chat_model_class(self) -> Type[BaseChatModel]:
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"""Return chat model class."""
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return Chat__ModuleName__
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@property
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def chat_model_params(self) -> dict:
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# TODO: Update with chat model parameters
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# e.g. return {"model": "claude-3-haiku-20240307"} for ChatAnthropic
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return {}
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@@ -1,8 +1,43 @@
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"""Test embedding model integration."""
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from typing import Tuple, Type
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from langchain_core.embeddings import Embeddings
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from langchain_standard_tests.unit_tests.embeddings import EmbeddingsUnitTests
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from __module_name__.embeddings import __ModuleName__Embeddings
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class TestFireworksStandard(EmbeddingsUnitTests):
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@property
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def embeddings_class(self) -> Type[Embeddings]:
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return __ModuleName__Embeddings
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@property
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def embeddings_params(self) -> dict:
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return {"api_key": "test api key"}
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@property
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def init_from_env_params(self) -> Tuple[dict, dict, dict]:
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"""Return env vars, init args, and expected instance attrs for initializing
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from env vars.
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This powers tests for initializing from environment variables."""
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return (
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# env vars
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{
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"__MODULE_NAME___API_KEY": "test api key",
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},
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# init vars - only pass things that are required and CAN'T be set
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# via env vars
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{},
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# expected attributes once the object has been constructed
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{
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"api_key": "test api key",
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},
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)
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def test_initialization() -> None:
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"""Test embedding model initialization."""
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__ModuleName__Embeddings()
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@@ -1,8 +0,0 @@
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"""Test __ModuleName__ Chat API wrapper."""
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from __module_name__ import __ModuleName__LLM
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def test_initialization() -> None:
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"""Test integration initialization."""
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__ModuleName__LLM()
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