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18 Commits

Author SHA1 Message Date
Bagatur
8461934c2b
core[patch], integrations[patch]: convert TypedDict to tool schema support (#24641) 
supports following UX

```python
    class SubTool(TypedDict):
        """Subtool docstring"""

        args: Annotated[Dict[str, Any], {}, "this does bar"]

    class Tool(TypedDict):
        """Docstring
        Args:
            arg1: foo
        """

        arg1: str
        arg2: Union[int, str]
        arg3: Optional[List[SubTool]]
        arg4: Annotated[Literal["bar", "baz"], ..., "this does foo"]
        arg5: Annotated[Optional[float], None]
```

- can parse google style docstring
- can use Annotated to specify default value (second arg)
- can use Annotated to specify arg description (third arg)
- can have nested complex types
 2024-07-31 18:27:24 +00:00
Erick Friis
3dce2e1d35
all: add release notes to pypi (#24519) 2024-07-22 13:59:13 -07:00
Ethan Yang
13855ef0c3
[HuggingFace Pipeline] add streaming support (#23852) 2024-07-09 17:02:00 -04:00
Jiejun Tan
2be66a38d8
huggingface: Fix huggingface tei support (#22653) 
Update former pull request:
https://github.com/langchain-ai/langchain/pull/22595.

Modified
`libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py`,
where the API call function does not match current [Text Embeddings
Inference
API](https://huggingface.github.io/text-embeddings-inference/#/Text%20Embeddings%20Inference/embed).
One example is:
```json
{
  "inputs": "string",
  "normalize": true,
  "truncate": false
}
```
Parameters in `_model_kwargs` are not passed properly in the latest
version. By the way, the issue *[why cause 413?
#50](https://github.com/huggingface/text-embeddings-inference/issues/50)*
might be solved.
 2024-07-03 13:30:29 -07:00
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
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
Mohammad Mohtashim
4796b7eb15
[Community [HuggingFace]]: Small Fix for ChatHuggingFace. (#22925) 
- **Description:** A small fix where I moved the `available_endpoints`
in order to avoid the token error in the below issue. Also I have added
conftest file and updated the `scripy`,`numpy` versions to support newer
python versions in poetry files.
- **Issue:** #22804

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: ccurme <chester.curme@gmail.com>
 2024-06-27 19:37:20 +00:00
Leonid Ganeline
41f7620989
huggingface: docstrings (#23148) 
Added missed docstrings. Format docstrings to the consistent format
(used in the API Reference)

Co-authored-by: ccurme <chester.curme@gmail.com>
 2024-06-20 13:22:40 +00:00
ccurme
066a5a209f
huggingface[patch]: fix CI for python 3.12 (#23197) 2024-06-20 09:17:26 -04:00
Lucas Tucker
cb79e80b0b
docs: standardize ChatHuggingFace (#22693) 
**Updated ChatHuggingFace doc string as per issue #22296**:
"langchain_huggingface: updated docstring for ChatHuggingFace in
langchain_huggingface to match that of the description (in the appendix)
provided in issue #22296. "

**Issue:** This PR is in response to issue #22296, and more specifically
ChatHuggingFace model. In particular, this PR updates the docstring for
langchain/libs/partners/hugging_face/langchain_huggingface/chat_models/huggingface.py
by adding the following sections: Instantiate, Invoke, Stream, Async,
Tool calling, and Response metadata. I used the template from the
Anthropic implementation and referenced the Appendix of the original
issue post. I also noted that: langchain_community hugging face llms do
not work with langchain_huggingface's ChatHuggingFace model (at least
for me); the .stream(messages) functionality of ChatHuggingFace only
returned a block of response.

---------

Co-authored-by: lucast2021 <lucast2021@headroyce.org>
Co-authored-by: Bagatur <baskaryan@gmail.com>
 2024-06-10 20:54:36 +00:00
Ethan Yang
29064848f9
[Community]add option to delete the prompt from HF output (#22225) 
This will help to solve pattern mismatching issue when parsing the
output in Agent.

https://github.com/langchain-ai/langchain/issues/21912
 2024-06-05 18:38:54 -04:00
Erick Friis
4050d6ea2b
huggingface: remove text-generation dep (#22543) 2024-06-05 12:13:40 +00:00
Bagatur
e850de2422
huggingface[patch]: release 0.0.2 (#22493) 2024-06-04 11:32:36 -07:00
Michal Gregor
98b2e7b195
huggingface[patch]: Support for HuggingFacePipeline in ChatHuggingFace. (#22194) 
- **Description:** Added support for using HuggingFacePipeline in
ChatHuggingFace (previously it was only usable with API endpoints,
probably by oversight).
- **Issue:** #19997 
- **Dependencies:** none
- **Twitter handle:** none

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
 2024-06-04 00:47:35 +00:00
Miroslav
cbd5720011
huggingface[patch]: Skip Login to HuggingFaceHub when token is not set (#22365) 2024-06-03 15:20:32 -07:00
Erick Friis
2a984e8e3f
docs: huggingface package (#21645) 2024-05-14 03:17:40 +00:00
Erick Friis
9b51ca08bc
huggingface: fix community dep checking (#21628) 2024-05-13 21:52:18 +00:00
Jofthomas
afd85b60fc
huggingface: init package (#21097) 
First Pr for the langchain_huggingface partner Package

- Moved some of the hugging face related class from `community` to the
new `partner package`

Still needed :
- Documentation
- Tests
- Support for the new apply_chat_template in `ChatHuggingFace`
- Confirm choice of class to support for embeddings witht he
sentence-transformer team.

cc : @efriis

---------

Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
 2024-05-13 20:53:15 +00:00