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10 Commits

Author SHA1 Message Date
ccurme
0b8837a0cc
openai: support runtime kwargs in embeddings (#31195) 2025-05-14 09:14:40 -04:00
Aubrey Ford
b344f34635
partners/openai: OpenAIEmbeddings not respecting chunk_size argument (#30757) 
When calling `embed_documents` and providing a `chunk_size` argument,
that argument is ignored when `OpenAIEmbeddings` is instantiated with
its default configuration (where `check_embedding_ctx_length=True`).

`_get_len_safe_embeddings` specifies a `chunk_size` parameter but it's
not being passed through in `embed_documents`, which is its only caller.
This appears to be an oversight, especially given that the
`_get_len_safe_embeddings` docstring states it should respect "the set
embedding context length and chunk size."

Developers typically expect method parameters to take effect (also, take
precedence) when explicitly provided, especially when instantiating
using defaults. I was confused as to why my API calls were being
rejected regardless of the chunk size I provided.

This bug also exists in langchain_community package. I can add that to
this PR if requested otherwise I will create a new one once this passes.
 2025-04-18 15:27:27 -04:00
Sydney Runkle
8c6734325b
partners[lint]: run pyupgrade to get code in line with 3.9 standards (#30781) 
Using `pyupgrade` to get all `partners` code up to 3.9 standards
(mostly, fixing old `typing` imports).
 2025-04-11 07:18:44 -04:00
omahs
6f8735592b
docs,langchain-community: Fix typos in docs and code (#30541) 
Fix typos
 2025-03-28 19:21:16 +00:00
Chaymae El Aattabi
4b08a7e8e8
Fix #29759: Use local chunk_size_ for looping in embed_documents (#29761) 
This fix ensures that the chunk size is correctly determined when
processing text embeddings. Previously, the code did not properly handle
cases where chunk_size was None, potentially leading to incorrect
chunking behavior.

Now, chunk_size_ is explicitly set to either the provided chunk_size or
the default self.chunk_size, ensuring consistent chunking. This update
improves reliability when processing large text inputs in batches and
prevents unintended behavior when chunk_size is not specified.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
 2025-02-13 01:28:26 +00:00
Erick Friis
0dbaf05bb7
standard-tests: rename langchain_standard_tests to langchain_tests, release 0.3.2 (#28203) 2024-11-18 19:10:39 -08:00
Eugene Yurtsev
bc3b851f08
openai[patch]: Upgrade @root_validators in preparation for pydantic 2 migration (#25491) 
* Upgrade @root_validator in openai pkg
* Ran notebooks for all but AzureAI embeddings

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
 2024-09-03 14:42:24 -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
Chip Davis
04bc5f1a95
partners[azure]: fix having openai_api_base set for other packages (#22068) 
This fix is for #21726. When having other packages installed that
require the `openai_api_base` environment variable, users are not able
to instantiate the AzureChatModels or AzureEmbeddings.

This PR adds a new value `ignore_openai_api_base` which is a bool. When
set to True, it sets `openai_api_base` to `None`

Two new tests were added for the `test_azure` and a new file
`test_azure_embeddings`

A different approach may be better for this. If you can think of better
logic, let me know and I can adjust it.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
 2024-07-01 18:35:20 +00:00
Erick Friis
ebc75c5ca7
openai[minor]: implement langchain-openai package (#15503) 
Todo

- [x] copy over integration tests
- [x] update docs with new instructions in #15513 
- [x] add linear ticket to bump core -> community, community->langchain,
and core->openai deps
- [ ] (optional): add `pip install langchain-openai` command to each
notebook using it
- [x] Update docstrings to not need `openai` install
- [x] Add serialization
- [x] deprecate old models

Contributor steps:

- [x] Add secret names to manual integrations workflow in
.github/workflows/_integration_test.yml
- [x] Add secrets to release workflow (for pre-release testing) in
.github/workflows/_release.yml

Maintainer steps (Contributors should not do these):

- [x] set up pypi and test pypi projects
- [x] add credential secrets to Github Actions
- [ ] add package to conda-forge


Functional changes to existing classes:

- now relies on openai client v1 (1.6.1) via concrete dep in
langchain-openai package

Codebase organization

- some function calling stuff moved to
`langchain_core.utils.function_calling` in order to be used in both
community and langchain-openai
 2024-01-05 15:03:28 -08:00