mirror of
https://github.com/hwchase17/langchain
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c2706cfb9e
I used the following example to validate the behavior
```python
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import ConfigurableField
from langchain_anthropic import ChatAnthropic
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.tools import tool
from langchain.agents import create_tool_calling_agent, AgentExecutor
@tool
def multiply(x: float, y: float) -> float:
"""Multiply 'x' times 'y'."""
return x * y
@tool
def exponentiate(x: float, y: float) -> float:
"""Raise 'x' to the 'y'."""
return x**y
@tool
def add(x: float, y: float) -> float:
"""Add 'x' and 'y'."""
return x + y
prompt = ChatPromptTemplate.from_messages([
("system", "you're a helpful assistant"),
("human", "{input}"),
("placeholder", "{agent_scratchpad}"),
])
tools = [multiply, exponentiate, add]
llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0)
# llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0)
agent = create_tool_calling_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", })
```
`ChatAnthropic` version works:
```
> Entering new AgentExecutor chain...
Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}`
responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}]
82.65606421491815
Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}`
responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}]
85.65606421491815
Invoking: `add` with `{'x': 17.24, 'y': -918.1241}`
responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}]
-900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}]
> Finished chain.
```
While `ChatLiteLLM` version doesn't.
But with the changes in this PR, along with:
- https://github.com/langchain-ai/langchain/pull/23823
- https://github.com/BerriAI/litellm/pull/4554
The result is _almost_ the same:
```
> Entering new AgentExecutor chain...
Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}`
responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:
82.65606421491815
Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}`
85.65606421491815
Invoking: `add` with `{'x': 17.24, 'y': -918.1241}`
responded:
So 3 + 5^2.743 = 85.66
To calculate 17.24 - 918.1241, we can use:
-900.8841
Therefore, 17.24 - 918.1241 = -900.88
> Finished chain.
```
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
Co-authored-by: ccurme <chester.curme@gmail.com>
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