Commit Graph

10354 Commits

Author SHA1 Message Date
Théo Deschamps
39b19cf764
core[patch]: extract input variables for path and detail keys in order to format an ImagePromptTemplate (#22613)
- Description: Add support for `path` and `detail` keys in
`ImagePromptTemplate`. Previously, only variables associated with the
`url` key were considered. This PR allows for the inclusion of a local
image path and a detail parameter as input to the format method.
- Issues:
    - fixes #20820 
    - related to #22024 
- Dependencies: None
- Twitter handle: @DeschampsTho5

---------

Co-authored-by: tdeschamps <tdeschamps@kameleoon.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2024-07-03 18:58:42 +00:00
Bagatur
a4798802ef
cli[patch]: ruff 0.5 (#23833) 2024-07-03 18:33:15 +00:00
Leonid Ganeline
55f6f91f17
core[patch]: docstrings output_parsers (#23825)
Added missed docstrings. Formatted docstrings to the consistent form.
2024-07-03 14:27:40 -04:00
Philippe PRADOS
26cee2e878
partners[patch]: MongoDB vectorstore to return and accept string IDs (#23818)
The mongdb have some errors.
- `add_texts() -> List` returns a list of `ObjectId`, and not a list of
string
- `delete()` with `id` never remove chunks.

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2024-07-03 14:14:08 -04:00
Ikko Eltociear Ashimine
75734fbcf1
community: fix typo in unit tests for test_zenguard.py (#23819)
enviroment -> environment


- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
  - Example: "community: add foobar LLM"
2024-07-03 14:05:42 -04:00
Bagatur
a0c2281540
infra: update mypy 1.10, ruff 0.5 (#23721)
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path

import toml
import subprocess
import re

ROOT_DIR = Path(__file__).parents[1]


def main():
    for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
        print(path)
        with open(path, "rb") as f:
            pyproject = tomllib.load(f)
        try:
            pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
                "^1.10"
            )
            pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
                "^0.5"
            )
        except KeyError:
            continue
        with open(path, "w") as f:
            toml.dump(pyproject, f)
        cwd = "/".join(path.split("/")[:-1])
        completed = subprocess.run(
            "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )
        logs = completed.stdout.split("\n")

        to_ignore = {}
        for l in logs:
            if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
                path, line_no, error_type = re.match(
                    "^(.*)\:(\d+)\: error:.*\[(.*)\]", l
                ).groups()
                if (path, line_no) in to_ignore:
                    to_ignore[(path, line_no)].append(error_type)
                else:
                    to_ignore[(path, line_no)] = [error_type]
        print(len(to_ignore))
        for (error_path, line_no), error_types in to_ignore.items():
            all_errors = ", ".join(error_types)
            full_path = f"{cwd}/{error_path}"
            try:
                with open(full_path, "r") as f:
                    file_lines = f.readlines()
            except FileNotFoundError:
                continue
            file_lines[int(line_no) - 1] = (
                file_lines[int(line_no) - 1][:-1] + f"  # type: ignore[{all_errors}]\n"
            )
            with open(full_path, "w") as f:
                f.write("".join(file_lines))

        subprocess.run(
            "poetry run ruff format .; poetry run ruff --select I --fix .",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )


if __name__ == "__main__":
    main()

```
2024-07-03 10:33:27 -07:00
William FH
6cd56821dc
[Core] Unify function schema parsing (#23370)
Use pydantic to infer nested schemas and all that fun.
Include bagatur's convenient docstring parser
Include annotation support


Previously we didn't adequately support many typehints in the
bind_tools() method on raw functions (like optionals/unions, nested
types, etc.)
2024-07-03 09:55:38 -07:00
Oguz Vuruskaner
2a2c0d1a94
community[deepinfra]: fix tool call parsing. (#23162)
This PR includes fix for DeepInfra tool call parsing.
2024-07-03 12:11:37 -04:00
maang-h
525109e506
feat: Implement ChatBaichuan asynchronous interface (#23589)
- **Description:** Add interface to `ChatBaichuan` to support
asynchronous requests
    - `_agenerate` method
    - `_astream` method

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-07-03 12:10:04 -04:00
Bagatur
8842a0d986
docs: fireworks nit (#23822) 2024-07-03 15:36:27 +00:00
Leonid Ganeline
716a316654
core: docstrings indexing (#23785)
Added missed docstrings. Formatted docstrings to the consistent form.
2024-07-03 11:27:34 -04:00
Leonid Ganeline
30fdc2dbe7
core: docstrings messages (#23788)
Added missed docstrings. Formatted docstrings to the consistent form.
2024-07-03 11:25:00 -04:00
ccurme
54e730f6e4
fireworks[patch]: read from tool calls attribute (#23820) 2024-07-03 11:11:17 -04:00
Bagatur
e787249af1
docs: fireworks standard page (#23816) 2024-07-03 14:33:05 +00:00
Jacob Lee
27aa4d38bf
docs[patch]: Update structured output docs to have more discussion (#23786)
CC @agola11 @ccurme
2024-07-02 16:53:31 -07:00
Bagatur
ebb404527f
anthropic[patch]: Release 0.1.19 (#23783) 2024-07-02 18:17:25 -04:00
Bagatur
6168c846b2
openai[patch]: Release 0.1.14 (#23782) 2024-07-02 18:17:15 -04:00
Bagatur
cb9812593f
openai[patch]: expose model request payload (#23287)
![Screenshot 2024-06-21 at 3 12 12
PM](https://github.com/langchain-ai/langchain/assets/22008038/6243a01f-1ef6-4085-9160-2844d9f2b683)
2024-07-02 17:43:55 -04:00
Bagatur
ed200bf2c4
anthropic[patch]: expose payload (#23291)
![Screenshot 2024-06-21 at 4 56 02
PM](https://github.com/langchain-ai/langchain/assets/22008038/a2c6224f-3741-4502-9607-1a726a0551c9)
2024-07-02 17:43:47 -04:00
Bagatur
7a3d8e5a99
core[patch]: Release 0.2.11 (#23780) 2024-07-02 17:35:57 -04:00
Bagatur
d677dadf5f
core[patch]: mark RemoveMessage beta (#23656) 2024-07-02 21:27:21 +00:00
ccurme
1d54ac93bb
ai21[patch]: release 0.1.7 (#23781) 2024-07-02 21:24:13 +00:00
Asaf Joseph Gardin
320dc31822
partners: AI21 Labs Jamba Streaming Support (#23538)
Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"

- [x] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** Added support for streaming in AI21 Jamba Model
    - **Twitter handle:** https://github.com/AI21Labs


- [x] **Add tests and docs**: If you're adding a new integration, please
include

- [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.

---------

Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-07-02 17:15:46 -04:00
Qingchuan Hao
5cd4083457
community: make bing web search as the only option (#23523)
This PR make bing web search as the option for BingSearchAPIWrapper to
facilitate and simply the user interface on Langchain.
This is a follow-up work of
https://github.com/langchain-ai/langchain/pull/23306.
2024-07-02 17:13:54 -04:00
William W Wang
76e7e4e9e6
Update docs: LangChain agent memory (#23673)
Thank you for contributing to LangChain!

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


**Description:** Update docs content on agent memory

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-07-02 17:06:32 -04:00
ccurme
7c1cddf1b7
anthropic[patch]: release 0.1.18 (#23778) 2024-07-02 16:46:47 -04:00
ccurme
c9dac59008
anthropic[patch]: fix model name in some integration tests (#23779) 2024-07-02 20:45:52 +00:00
Bagatur
7a6c06cadd
anthropic[patch]: tool output parser fix (#23647) 2024-07-02 16:33:22 -04:00
ccurme
46cbf0e4aa
anthropic[patch]: use core output parsers for structured output (#23776)
Also add to standard tests for structured output.
2024-07-02 16:15:26 -04:00
kiarina
dc396835ed
langchain_anthropic: add stop_reason in ChatAnthropic stream result (#23689)
`ChatAnthropic` can get `stop_reason` from the resulting `AIMessage` in
`invoke` and `ainvoke`, but not in `stream` and `astream`.
This is a different behavior from `ChatOpenAI`.
It is possible to get `stop_reason` from `stream` as well, since it is
needed to determine the next action after the LLM call. This would be
easier to handle in situations where only `stop_reason` is needed.

- Issue: NA
- Dependencies: NA
- Twitter handle: https://x.com/kiarina37
2024-07-02 15:16:20 -04:00
Bagatur
27ce58f86e
docs: google genai standard page (#23766)
Part of #22296
2024-07-02 13:54:34 -04:00
maang-h
e4e28a6ff5
community[patch]: Fix MiniMaxChat validate_environment error (#23770)
- **Description:** Fix some issues in MiniMaxChat 
  - Fix `minimax_api_host` not in `values` error
- Remove `minimax_group_id` from reading environment variables, the
`minimax_group_id` no longer use in MiniMaxChat
  - Invoke callback prior to yielding token, the issus #16913
2024-07-02 13:23:32 -04:00
SN
acc457f645
core[patch]: fix nested sections for mustache templating (#23747)
The prompt template variable detection only worked for singly-nested
sections because we just kept track of whether we were in a section and
then set that to false as soon as we encountered an end block. i.e. the
following:

```
{{#outerSection}}
    {{variableThatShouldntShowUp}}
    {{#nestedSection}}
        {{nestedVal}}
    {{/nestedSection}}
    {{anotherVariableThatShouldntShowUp}}
{{/outerSection}}
```

Would yield `['outerSection', 'anotherVariableThatShouldntShowUp']` as
input_variables (whereas it should just yield `['outerSection']`). This
fixes that by keeping track of the current depth and using a stack.
2024-07-02 10:20:45 -07:00
Karim Lalani
acc8fb3ead
docs[patch]: Update OllamaFunctions docs to match chat model integration template (#23179)
Added Tool Calling Agent Example with langgraph to OllamaFunctions
documentation
2024-07-02 10:05:44 -07:00
Bagatur
79c07a8ade
docs: standardize bedrock page (#23738)
Part of #22296
2024-07-02 12:03:36 -04:00
Teja Hara
a77a263e24
Added langchain-community installation (#23741)
PR title: Docs enhancement

- Description: Adding installation instructions for integrations
requiring langchain-community package since 0.2
- Issue: https://github.com/langchain-ai/langchain/issues/22005

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-07-02 11:03:07 -04:00
Eugene Yurtsev
46ff0f7a3c
community[patch]: Update @root_validators to use explicit pre=True or pre=False (#23737) 2024-07-02 10:47:21 -04:00
Igor Drozdov
b664dbcc36
feat(community): add support for tool_calls response (#23765)
When `model_kwargs={"tools": tools}` are passed to `ChatLiteLLM`, they
are executed, but the response is not recognized correctly

Let's add `tool_calls` to the `additional_kwargs`

Thank you for contributing to LangChain!

## ChatAnthropic

I used the following example to verify the output of llm with tools:

```python
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_anthropic import ChatAnthropic

class GetWeather(BaseModel):
    '''Get the current weather in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

class GetPopulation(BaseModel):
    '''Get the current population in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

llm = ChatAnthropic(model="claude-3-sonnet-20240229")
llm_with_tools = llm.bind_tools([GetWeather, GetPopulation])
ai_msg = llm_with_tools.invoke("Which city is hotter today and which is bigger: LA or NY?")
print(ai_msg.tool_calls)
```

I get the following response:

```json
[{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01UfDA89knrhw3vFV9X47neT'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01NrYVRYae7m7z7tBgyPb3Gd'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01EPFEpDgzL6vV2dTpD9SVP5'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01B5J6tPJXgwwfhQX9BHP2dt'}]
```

## LiteLLM

Based on https://litellm.vercel.app/docs/completion/function_call

```python
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.utils.function_calling import convert_to_openai_tool
import litellm

class GetWeather(BaseModel):
    '''Get the current weather in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

class GetPopulation(BaseModel):
    '''Get the current population in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

prompt = "Which city is hotter today and which is bigger: LA or NY?"
tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)]

response = litellm.completion(model="claude-3-sonnet-20240229", messages=[{'role': 'user', 'content': prompt}], tools=tools)
print(response.choices[0].message.tool_calls)
```

```python
[ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetWeather'), id='toolu_01HeDWV5vP7BDFfytH5FJsja', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetWeather'), id='toolu_01EiLesUSEr3YK1DaE2jxsQv', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetPopulation'), id='toolu_01Xz26zvkBDRxEUEWm9pX6xa', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetPopulation'), id='toolu_01SDqKnsLjvUXuBsgAZdEEpp', type='function')]
```

## ChatLiteLLM

When I try the following

```python
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.utils.function_calling import convert_to_openai_tool
from langchain_community.chat_models import ChatLiteLLM

class GetWeather(BaseModel):
    '''Get the current weather in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

class GetPopulation(BaseModel):
    '''Get the current population in a given location'''

    location: str = Field(..., description="The city and state, e.g. San Francisco, CA")

prompt = "Which city is hotter today and which is bigger: LA or NY?"
tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)]

llm = ChatLiteLLM(model="claude-3-sonnet-20240229", model_kwargs={"tools": tools})
ai_msg = llm.invoke(prompt)
print(ai_msg)
print(ai_msg.tool_calls)
```

```python
content="Okay, let's find out the current weather and populations for Los Angeles and New York City:" response_metadata={'token_usage': Usage(prompt_tokens=329, completion_tokens=193, total_tokens=522), 'model': 'claude-3-sonnet-20240229', 'finish_reason': 'tool_calls'} id='run-748b7a84-84f4-497e-bba1-320bd4823937-0'
[]
```

---

When I apply the changes of this PR, the output is

```json
[{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_017D2tGjiaiakB1HadsEFZ4e'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01WrDpJfVqLkPejWzonPCbLW'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_016UKyYrVAV9Pz99iZGgGU7V'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01Sgv1imExFX1oiR1Cw88zKy'}]
```

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

Co-authored-by: Igor Drozdov <idrozdov@gitlab.com>
2024-07-02 10:42:08 -04:00
Eugene Yurtsev
338cef35b4
community[patch]: update @root_validator in utilities namespace (#23768)
Update all utilities to use `pre=True` or `pre=False`

https://github.com/langchain-ai/langchain/issues/22819
2024-07-02 14:33:01 +00:00
wenngong
ee5eedfa04
partners: support reading HuggingFace params from env (#23309)
Description: 
1. partners/HuggingFace module support reading params from env. Not
adjust langchain_community/.../huggingfaceXX modules since they are
deprecated.
  2. pydantic 2 @root_validator migration.

Issue: #22448 #22819

---------

Co-authored-by: gongwn1 <gongwn1@lenovo.com>
2024-07-02 10:12:45 -04:00
antonpibm
ffde8a6a09
Milvus vectorstore: fix pass ids as argument after upsert (#23761)
**Description**: Milvus vectorstore supports both `add_documents` via
the base class and `upsert` method which deletes and re-adds documents
based on their ids

**Issue**: Due to mismatch in the interfaces the ids used by `upsert`
are neglected in `add_documents`, as `ids` are passed as argument in
`upsert` but via `kwargs` is `add_documents`

This caused exceptions and inconsistency in the DB, tested with
`auto_id=False`

**Fix**: pass `ids` via `kwargs` to `add_documents`
2024-07-02 13:45:30 +00:00
Eugene Yurtsev
d084172b63
community[patch]: root validator set explicit pre=False or pre=True (#23764)
See issue: https://github.com/langchain-ai/langchain/issues/22819
2024-07-02 09:42:05 -04:00
Khelan Modi
4457e64e13
Update azure_cosmos_db for mongodb documentation (#23740)
added pre-filtering documentation

Thank you for contributing to LangChain!

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


- [x] **PR message**: 
    - **Description:** added filter vector search 
    - **Issue:** N/A
    - **Dependencies:** N/A
    - **Twitter handle:**: n/a


- [x] **Add tests and docs**: If you're adding a new integration, please
include - No need for tests, just a simple doc update
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


- [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.
2024-07-02 12:53:05 +00:00
panwg3
bc98f90ba3
update wrong words (#23749)
Thank you for contributing to LangChain!

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


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. 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/

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.
2024-07-02 08:50:20 -04:00
mattthomps1
cc55823486
docs: updated PPLX model (#23723)
Description: updated pplx docs to reference a currently [supported
model](https://docs.perplexity.ai/docs/model-cards). pplx-70b-online
->llama-3-sonar-small-32k-online

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-07-02 08:48:49 -04:00
Bagatur
aa165539f6
docs: standardize cohere page (#23739)
Part of #22296
2024-07-01 19:34:13 -04:00
Jacob Lee
7791d92711
community[patch]: Fix requests alias for load_tools (#23734)
CC @baskaryan
2024-07-01 15:02:14 -07:00
Eugene Yurtsev
f24e38876a
community[patch]: Update root_validators to use explicit pre=True or pre=False (#23736) 2024-07-01 17:13:23 -04:00
Yannick Stephan
5b1de2ae93
mistralai: Fixed streaming in MistralAI with ainvoke and callbacks (#22000)
# Fix streaming in mistral with ainvoke 
- [x] **PR title**
- [x] **PR message**
- [x] **Add tests and docs**:
  1. [x] Added a test for the fixed integration.
2. [x] An example notebook showing its use. It lives in
`docs/docs/integrations` directory.
- [x] **Lint and test**: Ran `make format`, `make lint` and `make test`
from the root of the package(s) I've modified.

Hello 

* I Identified an issue in the mistral package where the callback
streaming (see on_llm_new_token) was not functioning correctly when the
streaming parameter was set to True and call with `ainvoke`.
* The root cause of the problem was the streaming not taking into
account. ( I think it's an oversight )
* To resolve the issue, I added the `streaming` attribut.
* Now, the callback with streaming works as expected when the streaming
parameter is set to True.

## How to reproduce

```
from langchain_mistralai.chat_models import ChatMistralAI
chain = ChatMistralAI(streaming=True)
# Add a callback
chain.ainvoke(..)

# Oberve on_llm_new_token
# Now, the callback is given as streaming tokens, before it was in grouped format.
```

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-07-01 20:53:09 +00:00
Jacob Lee
f4b2e553e7
docs[patch]: Update Unstructured loader notebooks and install instructions (#23726)
CC @baskaryan @MthwRobinson
2024-07-01 13:36:48 -07:00