Commit Graph

1571 Commits

Author SHA1 Message Date
Bagatur
aa9f247803 core[patch]: manually coerce ToolMessage args (#26283) 2024-09-10 15:57:57 -07:00
ccurme
e2c8690e7f community[patch]: fix huggingface pydantic 2 init (#26286) 2024-09-10 18:15:39 -04:00
Eugene Yurtsev
287911adbc community[patch]: Add protected_namespace=() to models that use model namespace (#26284)
Add protected_namespaces=() for existing implementations that use the
pydantic
reserved model namespace.
2024-09-10 17:32:10 -04:00
Eugene Yurtsev
374bb40852 community: Force opt-in for qa chains (#26278)
The underlying code is already documented as requiring appropriate RBAC
control, but adding a forced user opt-in to make sure that users
that don't read documentation are still aware of what's required
from a security perspective.

https://huntr.com/bounties/8f4ad910-7fdc-4089-8f0a-b5df5f32e7c5
2024-09-10 15:59:03 -04:00
Bagatur
c43c62b6c9 merge msater (#26275) 2024-09-10 12:57:18 -07:00
Eugene Yurtsev
bb83f1b875 community[patch]: Resolve parse_obj (#26262)
Update parse_obj
2024-09-10 15:56:34 -04:00
Bagatur
cecdc119bf merge 2024-09-10 12:32:47 -07:00
ccurme
6208773c77 community[patch]: set protected namespaces on embeddings (#26156)
Also fix serdes test for langchain-google-genai.
2024-09-10 09:28:41 -04:00
Christophe Bornet
9cf7ae0a52 community: Add docstring for HtmlLinkExtractor (#26213)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-10 00:27:37 +00:00
Christophe Bornet
56580b5fff community: Add docstring for GLiNERLinkExtractor (#26218)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-10 00:27:23 +00:00
Bagatur
f2f9187919 community[patch]: fix community warnings 1 (#26239) 2024-09-09 17:27:00 -07:00
Christophe Bornet
e235a572a0 community: Add docstring for KeybertLinkExtractor (#26210)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-10 00:26:29 +00:00
Bagatur
438301db90 community[patch]: update docstrings (#26243) 2024-09-09 17:16:56 -07:00
Bagatur
d588ce1f29 community[patch]: fix extended deps (#26238) 2024-09-09 16:10:10 -07:00
Bagatur
109ba548bd langchain[patch]: fix pydantic 2 warnings (#26188) 2024-09-09 11:19:02 -07:00
Bagatur
0f4a087186 community[patch]: fix main unit tests (#26189) 2024-09-09 10:35:41 -07:00
Tomaz Bratanic
181e4fc0e0 Add session expired retry to neo4j graph (#26182)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-08 11:40:43 -07:00
Sebastian Cherny
b3c7ed4913 Adding bind_tools in ChatOctoAI (#26168)
The object extends from
langchain_community.chat_models.openai.ChatOpenAI which doesn't have
`bind_tools` defined. I tried extending from
`langchain_openai.ChatOpenAI` in
https://github.com/langchain-ai/langchain/pull/25975 but that PR got
closed because this is not correct.
So adding our own `bind_tools` (which for now copying from ChatOpenAI is
good enough) will solve the tool calling issue we are having now.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-08 18:38:43 +00:00
Bagatur
9f482f4284 cherry langsmith cache fix (#26169) 2024-09-06 17:47:47 -04:00
William FH
262e19b15d infra: Clear cache for env-var checks (#26073) 2024-09-06 21:29:29 +00:00
Erick Friis
b664b3364c multiple: merge master into v0.3rc branch (#26163)
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.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: Chester Curme <chester.curme@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
2024-09-06 13:42:29 -07:00
Bagatur
bccc546a25 v0.3 dev releases (#26096)
branch for cutting dev releases

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-06 13:35:19 -07:00
Erick Friis
ae24f7364d multiple: version bumps (#26159) 2024-09-06 12:37:17 -07:00
Eugene Yurtsev
e02b093d81 community[patch]: Fix more issues (#26116)
This PR resolves more type checking issues and fixes some bugs.
2024-09-05 16:31:21 -04:00
Eugene Yurtsev
0cc6584889 community[patch]: Resolve more linting issues (#26115)
Resolve a bunch of errors caught with mypy
2024-09-05 15:59:30 -04:00
Eugene Yurtsev
6e1b0d0228 community[patch]: Skip unit test that depends on langchain-aws and fix pydantic settings (#26111)
* Skip unit test that depends on langchain-aws
* fix pydantic settings
2024-09-05 15:08:34 -04:00
Eugene Yurtsev
a111098230 community[patch]: Remove usage of deprecated pydantic config option (#26107)
Remove usage of deprecated pydantic config option
2024-09-05 15:05:00 -04:00
Harrison Chase
8516a03a02 langchain-community[major]: Upgrade community to pydantic 2 (#26011)
This PR upgrades langchain-community to pydantic 2.


* Most of this PR was auto-generated using code mods with gritql
(https://github.com/eyurtsev/migrate-pydantic/tree/main)
* Subsequently, some code was fixed manually due to accommodate
differences between pydantic 1 and 2

Breaking Changes:

- Use TEXTEMBED_API_KEY and TEXTEMBEB_API_URL for env variables for text
embed integrations:
cbea780492

Other changes:

- Added pydantic_settings as a required dependency for community. This
may be removed if we have enough time to convert the dependency into an
optional one.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-09-05 14:07:10 -04:00
Bagatur
7f0dd4b182 fmt 2024-09-04 13:31:29 -07:00
Bagatur
5557b86a54 fmt 2024-09-04 13:31:29 -07:00
Bagatur
caf4ae3a45 fmt 2024-09-04 13:31:28 -07:00
Bagatur
1241a004cb fmt 2024-09-04 11:44:59 -07:00
Bagatur
4ba14ae9e5 fmt 2024-09-04 11:34:59 -07:00
Bagatur
dba308447d fmt 2024-09-04 11:28:04 -07:00
ZhangShenao
c812237217 Improvement[Community] Improve args description in api doc of DocArrayInMemorySearch (#26024)
- Add missing arg
- Remove redundant arg
2024-09-04 09:26:26 -04:00
Tom Daniel Grande
0207dc1431 community: delta in openai choice can be None, creates handler for that (#25954)
Thank you for contributing to LangChain!

- [X ] **PR title**

- [X ] **PR message**: 

     **Description:** adds a handler for when delta choice is None

     **Issue:** Fixes #25951
     **Dependencies:** Not applicable


- [ X] **Add tests and docs**: Not applicable

- [X ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.

Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-03 20:30:03 +00:00
Bagatur
0af447c90b community[patch]: Release 0.2.16 (#25982) 2024-09-03 18:34:18 +00:00
Dan O'Donovan
f49da71e87 community[patch]: change default Neo4j username/password (#25226)
**Description:**

Change the default Neo4j username/password (when not supplied as
environment variable or in code) from `None` to `""`.

Neo4j has an option to [disable
auth](https://neo4j.com/docs/operations-manual/current/configuration/configuration-settings/#config_dbms.security.auth_enabled)
which is helpful when developing. When auth is disabled, the username /
password through the `neo4j` module should be `""` (ie an empty string).

Empty strings get marked as false in
`langchain_core.utils.env.get_from_dict_or_env` -- changing this code /
behaviour would have a wide impact and is undesirable.

In order to both _allow_ access to Neo4j with auth disabled and _not_
impact `langchain_core` this patch is presented. The downside would be
that if a user forgets to set NEO4J_USERNAME or NEO4J_PASSWORD they
would see an invalid credentials error rather than missing credentials
error. This could be mitigated but would result in a less elegant patch!

**Issue:**
Fix issue where langchain cannot communicate with Neo4j if Neo4j auth is
disabled.
2024-09-03 11:24:18 -07:00
Jorge Piedrahita Ortiz
c7154a4045 community: sambastudio llms api v2 support (#25063)
- **Description:** SambaStudio GenericV2 API support
2024-09-03 10:18:15 -04:00
ZhangShenao
8d784db107 docs: Add missing args in api doc of WebResearchRetriever (#25949)
Add missing args in api doc of `WebResearchRetriever`
2024-09-03 01:24:23 -07:00
Isaac Francisco
4833375200 community[patch]: added option to change how duckduckgosearchresults tool converts api outputs into string (#22580)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-09-02 22:42:19 +00:00
JonZeolla
78ff51ce83 community[patch]: update the default hf bge embeddings (#22627)
**Description:** This updates the langchain_community > huggingface >
default bge embeddings ([the current default recommends this
change](https://huggingface.co/BAAI/bge-large-en))
**Issue:** None
**Dependencies:** None
**Twitter handle:** @jonzeolla

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-09-02 22:10:21 +00:00
Leonid Ganeline
150251fd49 docs: integrations reference updates 13 (#25711)
Added missed provider pages and links. Fixed inconsistent formatting.
Added arxiv references to docstirngs.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-09-02 22:08:50 +00:00
Yash Parmar
51dae57357 community[minor]: jina search tools integrating (jina reader) (#23339)
- **PR title**: "community: add Jina Search tool"
- **Description:** Added the Jina Search tool for querying the Jina
search API. This includes the implementation of the JinaSearchAPIWrapper
and the JinaSearch tool, along with a Jupyter notebook example
demonstrating its usage.
- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** [Twitter
handle](https://x.com/yashp3020?t=7wM0gQ7XjGciFoh9xaBtqA&s=09)


- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.

- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-09-02 14:52:14 -07:00
Qingchuan Hao
3145995ed9 community[patch]: BingSearchResults returns raw snippets as artifact(#23304)
Returns an array of results which is more specific and easier for later
use.

Tested locally:
```
resp = tool.invoke("what's the weather like in Shanghai?")
for item in resp:
    print(item)
```
returns
```
{'snippet': '<b>Shanghai</b>, <b>Shanghai</b>, China <b>Weather</b> Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days.', 'title': 'Shanghai, Shanghai, China Weather Forecast | AccuWeather', 'link': 'https://www.accuweather.com/en/cn/shanghai/106577/weather-forecast/106577'}
{'snippet': '5. 99 / 87 °F. 6. 99 / 86 °F. 7. Detailed forecast for 14 days. Need some help? Current <b>weather</b> <b>in Shanghai</b> and forecast for today, tomorrow, and next 14 days.', 'title': 'Weather for Shanghai, Shanghai Municipality, China - timeanddate.com', 'link': 'https://www.timeanddate.com/weather/china/shanghai'}
{'snippet': '<b>Shanghai</b> - <b>Weather</b> warnings issued 14-day forecast. <b>Weather</b> warnings issued. Forecast - <b>Shanghai</b>. Day by day forecast. Last updated Friday at 01:05. Tonight, ... Temperature feels <b>like</b> 34 ...', 'title': 'Shanghai - BBC Weather', 'link': 'https://www.bbc.com/weather/1796236'}
{'snippet': 'Current <b>weather</b> <b>in Shanghai</b>, <b>Shanghai</b>, China. Check current conditions <b>in Shanghai</b>, <b>Shanghai</b>, China with radar, hourly, and more.', 'title': 'Shanghai, Shanghai, China Current Weather | AccuWeather', 'link': 'https://www.accuweather.com/en/cn/shanghai/106577/current-weather/106577'}
13-Day Beijing, Xi&#39;an, Chengdu, <b>Shanghai</b> Chinese Language and Culture Immersion Tour. <b>Shanghai</b> in September. Average daily temperature range: 23–29°C (73–84°F) Average rainy days: 10. Average sunny days: 20. September ushers in pleasant autumn <b>weather</b>, making it one of the best months to visit <b>Shanghai</b>. <b>Weather</b> in <b>Shanghai</b>: Climate, Seasons, and Average Monthly Temperature. <b>Shanghai</b> has a subtropical maritime monsoon climate, meaning high humidity and lots of rain. Hot muggy summers, cool falls, cold winters with little snow, and warm springs are the norm. Midsummer through early fall is the best time to visit <b>Shanghai</b>. <b>Shanghai</b>, <b>Shanghai</b>, China <b>Weather</b> Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days. 1165. 45.9. 121. Winter, from December to February, is quite cold: the average January temperature is 5 °C (41 °F). There may be cold periods, with highs around 5 °C (41 °F) or below, and occasionally, even snow can fall. The temperature dropped to -10 °C (14 °F) in January 1977 and to -7 °C (19.5 °F) in January 2016. 5. 99 / 87 °F. 6. 99 / 86 °F. 7. Detailed forecast for 14 days. Need some help? Current <b>weather</b> in <b>Shanghai</b> and forecast for today, tomorrow, and next 14 days. Everything you need to know about today&#39;s <b>weather</b> in <b>Shanghai</b>, <b>Shanghai</b>, China. High/Low, Precipitation Chances, Sunrise/Sunset, and today&#39;s Temperature History. <b>Shanghai</b> - <b>Weather</b> warnings issued 14-day forecast. <b>Weather</b> warnings issued. Forecast - <b>Shanghai</b>. Day by day forecast. Last updated Friday at 01:05. Tonight, ... Temperature feels <b>like</b> 34 ... <b>Shanghai</b> 14 Day Extended Forecast. <b>Weather</b> Today <b>Weather</b> Hourly 14 Day Forecast Yesterday/Past <b>Weather</b> Climate (Averages) Currently: 84 °F. Passing clouds. (<b>Weather</b> station: <b>Shanghai</b> Hongqiao Airport, China). See more current <b>weather</b>. Current <b>weather</b> in <b>Shanghai</b>, <b>Shanghai</b>, China. Check current conditions in <b>Shanghai</b>, <b>Shanghai</b>, China with radar, hourly, and more. <b>Shanghai</b> <b>Weather</b> Forecasts. <b>Weather Underground</b> provides local &amp; long-range <b>weather</b> forecasts, weatherreports, maps &amp; tropical <b>weather</b> conditions for the <b>Shanghai</b> area.
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-09-02 21:11:32 +00:00
Alexander KIRILOV
6a8f8a56ac community[patch]: added content_columns option to CSVLoader (#23809)
**Description:** 
Adding a new option to the CSVLoader that allows us to implicitly
specify the columns that are used for generating the Document content.
Currently these are implicitly set as "all fields not part of the
metadata_columns".

In some cases however it is useful to have a field both as a metadata
and as part of the document content.
2024-09-02 20:25:53 +00:00
Bruno Alvisio
ab527027ac community: Resolve refs recursively when generating openai_fn from OpenAPI spec (#19002)
- **Description:** This PR is intended to improve the generation of
payloads for OpenAI functions when converting from an OpenAPI spec file.
The solution is to recursively resolve `$refs`.
Currently when converting OpenAPI specs into OpenAI functions using
`openapi_spec_to_openai_fn`, if the schemas have nested references, the
generated functions contain `$ref` that causes the LLM to generate
payloads with an incorrect schema.

For example, for the for OpenAPI spec:

```
text = """
{
  "openapi": "3.0.3",
  "info": {
    "title": "Swagger Petstore - OpenAPI 3.0",
    "termsOfService": "http://swagger.io/terms/",
    "contact": {
      "email": "apiteam@swagger.io"
    },
    "license": {
      "name": "Apache 2.0",
      "url": "http://www.apache.org/licenses/LICENSE-2.0.html"
    },
    "version": "1.0.11"
  },
  "externalDocs": {
    "description": "Find out more about Swagger",
    "url": "http://swagger.io"
  },
  "servers": [
    {
      "url": "https://petstore3.swagger.io/api/v3"
    }
  ],
  "tags": [
    {
      "name": "pet",
      "description": "Everything about your Pets",
      "externalDocs": {
        "description": "Find out more",
        "url": "http://swagger.io"
      }
    },
    {
      "name": "store",
      "description": "Access to Petstore orders",
      "externalDocs": {
        "description": "Find out more about our store",
        "url": "http://swagger.io"
      }
    },
    {
      "name": "user",
      "description": "Operations about user"
    }
  ],
  "paths": {
    "/pet": {
      "post": {
        "tags": [
          "pet"
        ],
        "summary": "Add a new pet to the store",
        "description": "Add a new pet to the store",
        "operationId": "addPet",
        "requestBody": {
          "description": "Create a new pet in the store",
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Pet"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "description": "Successful operation",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/Pet"
                }
              }
            }
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "Tag": {
        "type": "object",
        "properties": {
          "id": {
            "type": "integer",
            "format": "int64"
          },
          "model_type": {
            "type": "number"
          }
        }
      },
      "Category": {
        "type": "object",
        "required": [
          "model",
          "year",
          "age"
        ],
        "properties": {
          "year": {
            "type": "integer",
            "format": "int64",
            "example": 1
          },
          "model": {
            "type": "string",
            "example": "Ford"
          },
          "age": {
            "type": "integer",
            "example": 42
          }
        }
      },
      "Pet": {
        "required": [
          "name"
        ],
        "type": "object",
        "properties": {
          "id": {
            "type": "integer",
            "format": "int64",
            "example": 10
          },
          "name": {
            "type": "string",
            "example": "doggie"
          },
          "category": {
            "$ref": "#/components/schemas/Category"
          },
          "tags": {
            "type": "array",
            "items": {
              "$ref": "#/components/schemas/Tag"
            }
          },
          "status": {
            "type": "string",
            "description": "pet status in the store",
            "enum": [
              "available",
              "pending",
              "sold"
            ]
          }
        }
      }
    }
  }
}
"""
```

Executing:
```
spec = OpenAPISpec.from_text(text)
pet_openai_functions, pet_callables = openapi_spec_to_openai_fn(spec)
response = model.invoke("Create a pet named Scott", functions=pet_openai_functions)
```

`pet_open_functions` contains unresolved `$refs`:

```
[
  {
    "name": "addPet",
    "description": "Add a new pet to the store",
    "parameters": {
      "type": "object",
      "properties": {
        "json": {
          "properties": {
            "id": {
              "type": "integer",
              "schema_format": "int64",
              "example": 10
            },
            "name": {
              "type": "string",
              "example": "doggie"
            },
            "category": {
              "ref": "#/components/schemas/Category"
            },
            "tags": {
              "items": {
                "ref": "#/components/schemas/Tag"
              },
              "type": "array"
            },
            "status": {
              "type": "string",
              "enum": [
                "available",
                "pending",
                "sold"
              ],
              "description": "pet status in the store"
            }
          },
          "type": "object",
          "required": [
            "name",
            "photoUrls"
          ]
        }
      }
    }
  }
]
```

and the generated JSON has an incorrect schema (e.g. category is filled
with `id` and `name` instead of `model`, `year` and `age`:

```
{
  "id": 1,
  "name": "Scott",
  "category": {
    "id": 1,
    "name": "Dogs"
  },
  "tags": [
    {
      "id": 1,
      "name": "tag1"
    }
  ],
  "status": "available"
}
```

With this change, the generated JSON by the LLM becomes,
`pet_openai_functions` becomes:

```
[
  {
    "name": "addPet",
    "description": "Add a new pet to the store",
    "parameters": {
      "type": "object",
      "properties": {
        "json": {
          "properties": {
            "id": {
              "type": "integer",
              "schema_format": "int64",
              "example": 10
            },
            "name": {
              "type": "string",
              "example": "doggie"
            },
            "category": {
              "properties": {
                "year": {
                  "type": "integer",
                  "schema_format": "int64",
                  "example": 1
                },
                "model": {
                  "type": "string",
                  "example": "Ford"
                },
                "age": {
                  "type": "integer",
                  "example": 42
                }
              },
              "type": "object",
              "required": [
                "model",
                "year",
                "age"
              ]
            },
            "tags": {
              "items": {
                "properties": {
                  "id": {
                    "type": "integer",
                    "schema_format": "int64"
                  },
                  "model_type": {
                    "type": "number"
                  }
                },
                "type": "object"
              },
              "type": "array"
            },
            "status": {
              "type": "string",
              "enum": [
                "available",
                "pending",
                "sold"
              ],
              "description": "pet status in the store"
            }
          },
          "type": "object",
          "required": [
            "name"
          ]
        }
      }
    }
  }
]
```

and the JSON generated by the LLM is:
```
{
  "id": 1,
  "name": "Scott",
  "category": {
    "year": 2022,
    "model": "Dog",
    "age": 42
  },
  "tags": [
    {
      "id": 1,
      "model_type": 1
    }
  ],
  "status": "available"
}
```

which has the intended schema.

    - **Twitter handle:**: @brunoalvisio

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-09-02 13:17:39 -07:00
Luiz F. G. dos Santos
36bbdc776e community: fix bug to support for file_search tool from OpenAI (#25927)
- **Description:** The function `_is_assistants_builtin_tool` didn't had
support for `file_search` from OpenAI. This was creating conflict and
blocking the usage of such. OpenAI Assistant changed from`retrieval` to
`file_search`.
  
  The following code
  
  ```
              agent = OpenAIAssistantV2Runnable.create_assistant(
                name="Data Analysis Assistant",
                instructions=prompt[0].content,
                tools={'type': 'file_search'},
                model=self.chat_config.connection.deployment_name,
                client=llm,
                as_agent=True,
                tool_resources={
                    "file_search": {
                        "vector_store_ids": vector_store_id
                        }
                    }
                )
```

Was throwing the following error

```
Traceback (most recent call last):
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py",
line 500, in get_response
    return await super().get_response(post, context)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py",
line 96, in get_response
    response = await self.inner_chat.get_response(post, context)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py",
line 96, in get_response
    response = await self.inner_chat.get_response(post, context)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py",
line 96, in get_response
    response = await self.inner_chat.get_response(post, context)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  [Previous line repeated 4 more times]
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/azure_open_ai_chat.py",
line 147, in get_response
chain = chain_factory.get_chain(prompts, post.conversation.id,
overrides, context)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/llm_connections/chains.py",
line 1324, in get_chain
    agent = OpenAIAssistantV2Runnable.create_assistant(
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py",
line 256, in create_assistant
tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py",
line 256, in <listcomp>
tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py",
line 119, in _get_assistants_tool
    return convert_to_openai_tool(tool)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_core/utils/function_calling.py",
line 255, in convert_to_openai_tool
    function = convert_to_openai_function(tool)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_core/utils/function_calling.py",
line 230, in convert_to_openai_function
    raise ValueError(
ValueError: Unsupported function

{'type': 'file_search'}

Functions must be passed in as Dict, pydantic.BaseModel, or Callable. If
they're a dict they must either be in OpenAI function format or valid
JSON schema with top-level 'title' and 'description' keys.
```

With the proposed changes, this is fixed and the function will have support for `file_search`.
  This was the only place missing the support for `file_search`.
  
  Reference doc
  https://platform.openai.com/docs/assistants/tools/file-search
  
  
  - **Twitter handle:** luizf0992

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-09-02 18:21:51 +00:00
xander-art
6cd452d985 Feature/update hunyuan (#25779)
Description: 
    - Add system templates and user templates in integration testing
    - initialize the response id field value to request_id
    - Adjust the default model to hunyuan-pro
    - Remove the default values of Temperature and TopP
    - Add SystemMessage

all the integration tests have passed.
1、Execute integration tests for the first time
<img width="1359" alt="71ca77a2-e9be-4af6-acdc-4d665002bd9b"
src="https://github.com/user-attachments/assets/9298dc3a-aa26-4bfa-968b-c011a4e699c9">

2、Run the integration test a second time
<img width="1501" alt="image"
src="https://github.com/user-attachments/assets/61335416-4a67-4840-bb89-090ba668e237">

Issue: None
Dependencies: None
Twitter handle: None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-09-02 12:55:08 +00:00
Yuwen Hu
566e9ba164 community: add Intel GPU support to ipex-llm llm integration (#22458)
**Description:** [IPEX-LLM](https://github.com/intel-analytics/ipex-llm)
is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local
PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low
latency. This PR adds Intel GPU support to `ipex-llm` llm integration.
**Dependencies:** `ipex-llm`
**Contribution maintainer**: @ivy-lv11 @Oscilloscope98
**tests and docs**: 
- Add: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb
- Update: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb
- Update: langchain/libs/community/tests/llms/test_ipex_llm.py

---------

Co-authored-by: ivy-lv11 <zhicunlv@gmail.com>
2024-09-02 08:49:08 -04:00