mirror of
https://github.com/hwchase17/langchain
synced 2024-11-11 19:11:02 +00:00
236e957abb
After this PR chat models will correctly handle pydantic 2 with
bind_tools and with_structured_output.
```python
import pydantic
print(pydantic.__version__)
```
2.8.2
```python
from langchain_openai import ChatOpenAI
from pydantic import BaseModel, Field
class Add(BaseModel):
x: int
y: int
model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)
model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```
```
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}]
<class '__main__.Add'>
```
```python
from langchain_openai import ChatOpenAI
from pydantic.v1 import BaseModel, Field
class Add(BaseModel):
x: int
y: int
model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)
model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```
```python
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}]
<class '__main__.Add'>
```
Addresses issues: https://github.com/langchain-ai/langchain/issues/22782
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
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| langchain_robocorp | ||
| scripts | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
langchain-robocorp
Note: this package is deprecated in favor of the renamed langchain-sema4 package (repo, package). |
|---|
This package contains the LangChain integrations for Robocorp Action Server. Action Server enables an agent to execute actions in the real world.
Installation
pip install -U langchain-robocorp
Action Server Toolkit
See ActionServerToolkit for detailed documentation.