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32 Commits

Author SHA1 Message Date
Mohammad Mohtashim
e935da0b12
ChatTongyi reasoning_content fix (#30694) 
- **Description:** Small fix for `reasoning_content` key
- **Issue:** #30689
 2025-04-07 09:27:33 -04:00
wenmeng zhou
5a6e1254a7
support return reasoning content for models like qwq in dashscope (#30317) 
Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
  - Example: "community: add foobar LLM"

here is an example
```python
from langchain_community.chat_models.tongyi import ChatTongyi
from langchain_core.messages import HumanMessage

chatLLM = ChatTongyi(
    model="qwq-32b",   # refer to  https://help.aliyun.com/zh/model-studio/getting-started/models for more models
)
res = chatLLM.stream([HumanMessage(content="how much is 1 plus 1")])
for r in res:
    print(r)
```

```shell
content='' additional_kwargs={'reasoning_content': 'Okay, so the'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' user is asking "'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': 'how much is 1 plus'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1." Let me think'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' about this. Hmm'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', 1 plus'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " 1... That's a pretty"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' basic math question. I'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' remember from arithmetic that when'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' you add 1 and'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 together, the'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' result is 2.'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' But wait, maybe'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' I should double-check to be'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' sure. Let me visualize it'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '. If I have one apple'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' and someone gives me another'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' apple, I have'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' two apples total. Yeah,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' that makes sense. Or'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' on a number line'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', starting at 1 and'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' moving 1 step forward lands'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' you at 2'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '. \n\nIs there any'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' context where 1 +'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 might not equal'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 2? Like in different'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' number bases? Let'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'s see. In base"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 10, which'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' is standard,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1+1 is'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 2. But if'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' we were in binary'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' (base 2'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '), 1 +'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 would be 1'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '0. But the question'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " doesn't specify a base,"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' so I think the'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' default is base 10'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '. \n\nAlternatively, could'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' this be a trick'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' question? Maybe they'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'re referring to something else"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', like in Boolean'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' algebra where 1 +'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 might still'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' be 1 in'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' some contexts? Wait'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', no, in Boolean'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' addition, 1'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' + 1 is typically'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " 1 because it's logical"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' OR. But the'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' question just says "1'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' plus 1," which is'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' more arithmetic than Boolean.'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' \n\nOr maybe in some other'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' mathematical structure like modular arithmetic?'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' For example, modulo'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 2,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 + 1 is'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 0. But again'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', unless specified, it'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'s probably standard addition"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': '. \n\nThe user might be'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' testing if I know basic'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' math, or maybe'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " they're a student just"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' starting out. Either way,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' the straightforward answer is'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 2. I should also'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " consider if there's any cultural"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' references or jokes where'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 + 1 equals'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' something else, but I can'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'t think of any common"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' ones. \n\nAlternatively'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', in some contexts like'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' in chemistry,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' 1 + 1 could refer'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' to mixing solutions, but that'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'s not standard. The question"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' is pretty simple,'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' so I think the answer'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' is 2. To'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' be thorough, maybe mention'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' that in standard arithmetic it'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': "'s 2, but if"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': " there's a different"} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' context, the answer'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' might vary. But since'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' no context is given'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ', 2 is the safest'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ' answer.'} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='The result' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' of 1 plus' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' 1 is **2**.' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' \n\nIn standard arithmetic (base' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' 10), adding' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' 1 and 1 together' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' yields 2. This is' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' a fundamental mathematical principle. If' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' the question involves a different context' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' (e.g., binary' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=', modular arithmetic, or a' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' metaphorical meaning), it' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' would need clarification,' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' but under typical circumstances, the' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content=' answer is **2**.' additional_kwargs={'reasoning_content': ''} response_metadata={} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'
content='' additional_kwargs={'reasoning_content': ''} response_metadata={'finish_reason': 'stop', 'request_id': '4738c641-6bd8-9efc-a4fe-d929d4e62bef', 'token_usage': {'input_tokens': 16, 'output_tokens': 560, 'total_tokens': 576}} id='run-bd026918-16e5-429f-aa75-3ff7701e9f8d'

```

Co-authored-by: ccurme <chester.curme@gmail.com>
 2025-03-18 11:43:10 -04:00
Hugh Gao
aa6dae4a5b
community: Remove the system message count limit for ChatTongyi. (#30192) 
## Description
The models in DashScope support multiple SystemMessage. Here is the
[Doc](https://bailian.console.aliyun.com/model_experience_center/text#/model-market/detail/qwen-long?tabKey=sdk),
and the example code on the document page:
```python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),  # 如果您没有配置环境变量，请在此处替换您的API-KEY
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",  # 填写DashScope服务base_url
)
# 初始化messages列表
completion = client.chat.completions.create(
    model="qwen-long",
    messages=[
        {'role': 'system', 'content': 'You are a helpful assistant.'},
        # 请将 'file-fe-xxx'替换为您实际对话场景所使用的 file-id。
        {'role': 'system', 'content': 'fileid://file-fe-xxx'},
        {'role': 'user', 'content': '这篇文章讲了什么？'}
    ],
    stream=True,
    stream_options={"include_usage": True}
)

full_content = ""
for chunk in completion:
    if chunk.choices and chunk.choices[0].delta.content:
        # 拼接输出内容
        full_content += chunk.choices[0].delta.content
        print(chunk.model_dump())

print({full_content})
```
Tip: The example code is for OpenAI, but the document said that it also
supports the DataScope API, and I tested it, and it works.
```
Is the Dashscope SDK invocation method compatible?

Yes, the Dashscope SDK remains compatible for model invocation. However, file uploads and file-ID retrieval are currently only supported via the OpenAI SDK. The file-ID obtained through this method is also compatible with Dashscope for model invocation.
```
 2025-03-10 08:58:40 -04:00
Hugh Gao
9b7b8e4a1a
community: make DashScope models support Partial Mode for text continuation. (#30108) 
## Description
make DashScope models support Partial Mode for text continuation.

For text continuation in ChatTongYi, it supports text continuation with
a prefix by adding a "partial" argument in AIMessage. The document is
[Partial Mode
](https://help.aliyun.com/zh/model-studio/user-guide/partial-mode?spm=a2c4g.11186623.help-menu-2400256.d_1_0_0_8.211e5b77KMH5Pn&scm=20140722.H_2862210._.OR_help-T_cn~zh-V_1).
The API example is:
```py
import os
import dashscope

messages = [{
    "role": "user",
    "content": "请对“春天来了，大地”这句话进行续写，来表达春天的美好和作者的喜悦之情"
},
{
    "role": "assistant",
    "content": "春天来了，大地",
    "partial": True
}]
response = dashscope.Generation.call(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model='qwen-plus',
    messages=messages,
    result_format='message',  
)

print(response.output.choices[0].message.content)
```

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
 2025-03-05 16:22:14 +00:00
like
3048a9a26d
community: tongyi multimodal response format fix to support langchain (#28645) 
Description: The multimodal(tongyi) response format "message": {"role":
"assistant", "content": [{"text": "图像"}]}}]} is not compatible with
LangChain.
Dependencies: No

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
 2024-12-10 21:13:26 +00:00
Erick Friis
c2a3021bb0
multiple: pydantic 2 compatibility, v0.3 (#26443) 
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
 2024-09-13 14:38:45 -07:00
Eugene Yurtsev
bf5193bb99
community[patch]: Upgrade pydantic extra (#25185) 
Upgrade to using a literal for specifying the extra which is the
recommended approach in pydantic 2.

This works correctly also in pydantic v1.

```python
from pydantic.v1 import BaseModel

class Foo(BaseModel, extra="forbid"):
    x: int

Foo(x=5, y=1)
```

And 


```python
from pydantic.v1 import BaseModel

class Foo(BaseModel):
    x: int

    class Config:
      extra = "forbid"

Foo(x=5, y=1)
```


## Enum -> literal using grit pattern:

```
engine marzano(0.1)
language python
or {
    `extra=Extra.allow` => `extra="allow"`,
    `extra=Extra.forbid` => `extra="forbid"`,
    `extra=Extra.ignore` => `extra="ignore"`
}
```

Resorted attributes in config and removed doc-string in case we will
need to deal with going back and forth between pydantic v1 and v2 during
the 0.3 release. (This will reduce merge conflicts.)


## Sort attributes in Config:

```
engine marzano(0.1)
language python


function sort($values) js {
    return $values.text.split(',').sort().join("\n");
}


class_definition($name, $body) as $C where {
    $name <: `Config`,
    $body <: block($statements),
    $values = [],
    $statements <: some bubble($values) assignment() as $A where {
        $values += $A
    },
    $body => sort($values),
}

```
 2024-08-08 17:20:39 +00:00
Bagatur
236e957abb
core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417) 
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>
 2024-07-22 20:07:39 +00:00
maang-h
6c7d9f93b9
feat: Add ChatTongyi structured output (#24187) 
- **Description:** Add `with_structured_output` method to ChatTongyi to
support structured output.
 2024-07-15 15:57:21 -04:00
Eugene Yurtsev
2c180d645e
core[minor],community[minor]: Upgrade all @root_validator() to @pre_init (#23841) 
This PR introduces a @pre_init decorator that's a @root_validator(pre=True) but with all the defaults populated!
 2024-07-08 16:09:29 -04:00
mackong
11483b0fb8
community[patch]: set tool name for tongyi&qianfan llm (#22889) 
- **Description:** The name of ToolMessage is default to None, which
makes tool message send to LLM likes
 ```json
{"role": "tool",
   "tool_call_id": "",
   "content": "{\"time\": \"12:12\"}",
   "name": null}
```
But the name seems essential for some LLMs like TongYi Qwen. so we need to set the name use agent_action's tool value.
  - **Issue:** N/A
  - **Dependencies:** N/A
 2024-06-28 09:17:05 -04:00
mackong
70834cd741
community[patch]: support convert FunctionMessage for Tongyi (#23569) 
**Description:** For function call agent with Tongyi, cause the
AgentAction will be converted to FunctionMessage by

47f69fe0d8/libs/core/langchain_core/agents.py (L188)
But now Tongyi's *convert_message_to_dict* doesn't support
FunctionMessage

47f69fe0d8/libs/community/langchain_community/chat_models/tongyi.py (L184-L207)
Then next round conversation will be failed by the *TypeError*
exception.

This patch adds the support to convert FunctionMessage for Tongyi.

**Issue:** N/A
**Dependencies:** N/A
 2024-06-27 15:49:26 -04:00
maang-h
5070004e8a
docs: Update Tongyi ChatModel docstring (#23540) 
- **Description:** Update Tongyi ChatModel rich docstring
- **Issue:** the issue #22296
 2024-06-26 13:07:13 -04:00
HuiyuanYan
bf3aefce93
community[patch]: Update tongyi.py to support MultimodalConversation in dashscope. (#21249) 
Add the support of multimodal conversation in dashscope,now we can use
multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1",
"qwen-audio-turbo" to processing picture an audio. :)

- [ ] **PR title**: "community: add multimodal conversation support in
dashscope"



- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** add multimodal conversation support in dashscope
    - **Issue:** 
    - **Dependencies:** dashscope≥1.18.0
    - **Twitter handle:** none :)


- [ ] **How to use it?**:
   - ```python
     Tongyi_chat = ChatTongyi(
        top_p=0.5,
        dashscope_api_key=api_key,
        model="qwen-vl-v1"
     )
     response= Tongyi_chat.invoke(
        input = 
        [
        {
            "role": "user",
            "content": [
{"image":
"https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"},
                {"text": "这是什么?"}
            ]
        }
        ]
       )
      ```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
 2024-05-22 22:04:58 +00:00
Pengcheng Liu
4cf523949a
community[patch]: Update model client to support vision model in Tong… (#21474) 
- **Description:** Tongyi uses different client for chat model and
vision model. This PR chooses proper client based on model name to
support both chat model and vision model. Reference [tongyi
document](https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-qianwen-vl-plus-api?spm=a2c4g.11186623.0.0.27404c9a7upm11)
for details.

```
from langchain_core.messages import HumanMessage
from langchain_community.chat_models import ChatTongyi

llm = ChatTongyi(model_name='qwen-vl-max')
image_message = {
    "image": "https://lilianweng.github.io/posts/2023-06-23-agent/agent-overview.png"
}
text_message = {
    "text": "summarize this picture",
}
message = HumanMessage(content=[text_message, image_message])
llm.invoke([message])
```

- **Issue:** None
- **Dependencies:** None
- **Twitter handle:** None
 2024-05-21 11:58:27 -07:00
ccurme
19e6bf814b
community: fix CI (#21766) 2024-05-16 15:41:03 +00:00
Cheese
0ead09f84d
community: Implement bind_tools for ChatTongyi (#20725) 
## Description

Implement `bind_tools` in ChatTongyi. Usage example:

```py
from langchain_core.tools import tool
from langchain_community.chat_models.tongyi import ChatTongyi

@tool
def multiply(first_int: int, second_int: int) -> int:
    """Multiply two integers together."""
    return first_int * second_int

llm = ChatTongyi(model="qwen-turbo")

llm_with_tools = llm.bind_tools([multiply])

msg = llm_with_tools.invoke("What's 5 times forty two")

print(msg)
```

Streaming is also supported.

## Dependencies

No Dependency is required for this change.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
 2024-05-16 10:39:35 -04:00
Eugene Yurtsev
25fbe356b4
community[patch]: upgrade to recent version of mypy (#21616) 
This PR upgrades community to a recent version of mypy. It inserts type:
ignore on all existing failures.
 2024-05-13 14:55:07 -04:00
Pengcheng Liu
ecd19a9e58
community[patch]: Add function call support in Tongyi chat model. (#20119) 
- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
 2024-04-17 20:42:23 +00:00
Guangdong Liu
3729bec1a2
community[patch]: standardize init args (#20210) 
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
 2024-04-16 18:29:57 -07:00
Leonid Ganeline
7cf2d2759d
community[patch]: docstrings update (#20301) 
Added missed docstrings. Format docstings to the consistent form.
 2024-04-11 16:23:27 -04:00
htaoruan
bcc771e37c
docs: ChatTongyi example error (#19013) 2024-03-17 01:55:56 +00:00
Shuai Liu
c244e1a50b
community[patch]: Fixed bug in merging generation_info during chunk concatenation in Tongyi and ChatTongyi (#19014) 
- **Description:** 

In #16218 , during the `GenerationChunk` and `ChatGenerationChunk`
concatenation, the `generation_info` merging changed from simple keys &
values replacement to using the util method
[`merge_dicts`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py):


![image](https://github.com/langchain-ai/langchain/assets/2098020/10f315bf-7fe0-43a7-a0ce-6a3834b99a15)

The `merge_dicts` method could not handle merging values of `int` or
some other types, and would raise a
[`TypeError`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py#L55).

This PR fixes this issue in the **Tongyi and ChatTongyi Model** by
adopting the `generation_info` of the last chunk
and discarding the `generation_info` of the intermediate chunks,
ensuring that `stream` and `astream` function correctly.

- **Issue:**  
    - Related issues or PRs about Tongyi & ChatTongyi: #16605, #17105 
    - Other models or cases: #18441, #17376
- **Dependencies:** No new dependencies
 2024-03-15 16:27:53 -07:00
mackong
9678797625
community[patch]: callback before yield for _stream/_astream (#17907) 
- Description: callback on_llm_new_token before yield chunk for
_stream/_astream for some chat models, make all chat models in a
consistent behaviour.
- Issue: N/A
- Dependencies: N/A
 2024-02-22 16:15:21 -08:00
Bagatur
66e45e8ab7
community[patch]: chat model mypy fixes (#17061) 
Related to #17048
 2024-02-05 13:42:59 -08:00
Harrison Chase
4eda647fdd
infra: add -p to mkdir in lint steps (#17013) 
Previously, if this did not find a mypy cache then it wouldnt run

this makes it always run

adding mypy ignore comments with existing uncaught issues to unblock other prs

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
 2024-02-05 11:22:06 -08:00
Funkeke
7220124368
community[patch]: fix tongyi completion and params error (#15544) 
fix tongyi completion json parse error and prompt's params error

---------

Co-authored-by: fangkeke <3339698829@qq.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
 2024-01-15 11:43:13 -08:00
Kai
5d05df4bce
community: Fixed bug of "system message check" in chat_models/tongyi. (#15631) 
- **Description:** This PR is to fix a bug of "system message check" in
langchain_community/ chat_models/tongyi.py
- **Issue:** In term of current logic, if there's no system message in
the chat messages, an error of "System message can only be the first
message." will be wrongly raised.
  - **Dependencies:** No.
  - **Twitter handle:** I don't have a Twitter account.
 2024-01-07 08:30:18 -08:00
chyroc
37ad6ec248
Refactor: use SecretStr for tongyi chat-model (#15102) 2024-01-02 15:45:23 -08:00
Shuai Liu
4b53440e70
Upgrades the Tongyi LLM and ChatTongyi Model (#14793) 
- **Description:** fixes and upgrades for the Tongyi LLM and ChatTongyi
Model
      - Fixed typos; it should be `Tongyi`, not `OpenAI`.
- Fixed a bug in `stream_generate_with_retry`; it's a real stream
generator now.
- Fixed a bug in `validate_environment`; the `dashscope_api_key` should
be properly handled when set by environment variables or initialization
parameters.
- Changed the `dashscope` response to incremental output by setting the
parameter `incremental_output`, which eliminates the need for the
prefix-removal trick.
      - Removed some unused parameters, like `n`, `prefix_messages`.
      - Added `_stream` method.
- Added async methods support, such as `_astream`, `_agenerate`,
`_abatch`.
  - **Dependencies:** No new dependencies.
  - **Tag maintainer:** @hwchase17 

> PS: Some may be confused about the terms `dashscope`, `tongyi`, and
`Qwen`:
> - `dashscope`: A platform to deploy LLMs and provide APIs to invoke
the LLM.
> - `tongyi`: A brand name or overall term about Alibaba Cloud's LLM/AI.
> - `Qwen`: An LLM that is open-sourced and deployed in `dashscope`.
> 
> We use the `dashscope` SDK to interact with the `tongyi`-`Qwen` LLM.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
 2023-12-29 12:06:12 -08:00
Leonid Ganeline
b2fd41331e
docs: docstrings langchain_community update (#14889) 
Addded missed docstrings. Fixed inconsistency in docstrings.

**Note** CC @efriis 
There were PR errors on
`langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py`
But, I didn't touch this file in this PR! Can it be some cache problems?
I fixed this error.
 2023-12-19 08:58:24 -05:00
Bagatur
ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
 2023-12-11 13:53:30 -08:00