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https://github.com/hwchase17/langchain
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480626dc99
…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
"""Test OllamaFunctions"""
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import unittest
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from langchain_community.chat_models.ollama import ChatOllama
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from langchain_experimental.llms.ollama_functions import OllamaFunctions
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class TestOllamaFunctions(unittest.TestCase):
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"""
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Test OllamaFunctions
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"""
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def test_default_ollama_functions(self) -> None:
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base_model = OllamaFunctions(model="mistral")
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self.assertIsInstance(base_model.model, ChatOllama)
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# bind functions
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model = base_model.bind(
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functions=[
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{
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"name": "get_current_weather",
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"description": "Get the current weather in a given location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, "
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"e.g. San Francisco, CA",
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},
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"unit": {
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"type": "string",
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"enum": ["celsius", "fahrenheit"],
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},
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},
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"required": ["location"],
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},
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}
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],
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function_call={"name": "get_current_weather"},
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)
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res = model.invoke("What's the weather in San Francisco?")
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function_call = res.additional_kwargs.get("function_call")
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assert function_call
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self.assertEqual(function_call.get("name"), "get_current_weather")
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