mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
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 ```
110 lines
4.0 KiB
Python
110 lines
4.0 KiB
Python
"""Test AnthropicFunctions"""
|
|
|
|
import unittest
|
|
|
|
from langchain_community.chat_models.anthropic import ChatAnthropic
|
|
from langchain_community.chat_models.bedrock import BedrockChat
|
|
|
|
from langchain_experimental.llms.anthropic_functions import AnthropicFunctions
|
|
|
|
|
|
class TestAnthropicFunctions(unittest.TestCase):
|
|
"""
|
|
Test AnthropicFunctions with default llm (ChatAnthropic) as well as a passed-in llm
|
|
"""
|
|
|
|
def test_default_chat_anthropic(self) -> None:
|
|
base_model = AnthropicFunctions(model="claude-2")
|
|
self.assertIsInstance(base_model.model, ChatAnthropic)
|
|
|
|
# bind functions
|
|
model = base_model.bind(
|
|
functions=[
|
|
{
|
|
"name": "get_current_weather",
|
|
"description": "Get the current weather in a given location",
|
|
"parameters": {
|
|
"type": "object",
|
|
"properties": {
|
|
"location": {
|
|
"type": "string",
|
|
"description": "The city and state, "
|
|
"e.g. San Francisco, CA",
|
|
},
|
|
"unit": {
|
|
"type": "string",
|
|
"enum": ["celsius", "fahrenheit"],
|
|
},
|
|
},
|
|
"required": ["location"],
|
|
},
|
|
}
|
|
],
|
|
function_call={"name": "get_current_weather"},
|
|
)
|
|
|
|
res = model.invoke("What's the weather in San Francisco?")
|
|
|
|
function_call = res.additional_kwargs.get("function_call")
|
|
assert function_call
|
|
self.assertEqual(function_call.get("name"), "get_current_weather")
|
|
self.assertEqual(
|
|
function_call.get("arguments"),
|
|
'{"location": "San Francisco, CA", "unit": "fahrenheit"}',
|
|
)
|
|
|
|
def test_bedrock_chat_anthropic(self) -> None:
|
|
"""
|
|
const chatBedrock = new ChatBedrock({
|
|
region: process.env.BEDROCK_AWS_REGION ?? "us-east-1",
|
|
model: "anthropic.claude-v2",
|
|
temperature: 0.1,
|
|
credentials: {
|
|
secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
|
|
accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
|
|
},
|
|
});"""
|
|
llm = BedrockChat(
|
|
model_id="anthropic.claude-v2",
|
|
model_kwargs={"temperature": 0.1},
|
|
region_name="us-east-1",
|
|
)
|
|
base_model = AnthropicFunctions(llm=llm)
|
|
assert isinstance(base_model.model, BedrockChat)
|
|
|
|
# bind functions
|
|
model = base_model.bind(
|
|
functions=[
|
|
{
|
|
"name": "get_current_weather",
|
|
"description": "Get the current weather in a given location",
|
|
"parameters": {
|
|
"type": "object",
|
|
"properties": {
|
|
"location": {
|
|
"type": "string",
|
|
"description": "The city and state, "
|
|
"e.g. San Francisco, CA",
|
|
},
|
|
"unit": {
|
|
"type": "string",
|
|
"enum": ["celsius", "fahrenheit"],
|
|
},
|
|
},
|
|
"required": ["location"],
|
|
},
|
|
}
|
|
],
|
|
function_call={"name": "get_current_weather"},
|
|
)
|
|
|
|
res = model.invoke("What's the weather in San Francisco?")
|
|
|
|
function_call = res.additional_kwargs.get("function_call")
|
|
assert function_call
|
|
self.assertEqual(function_call.get("name"), "get_current_weather")
|
|
self.assertEqual(
|
|
function_call.get("arguments"),
|
|
'{"location": "San Francisco, CA", "unit": "fahrenheit"}',
|
|
)
|