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griptape-ai / griptape

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
https://www.griptape.ai
Apache License 2.0
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Bump the dependencies group with 15 updates #1140

Closed dependabot[bot] closed 3 weeks ago

dependabot[bot] commented 3 weeks ago

Bumps the dependencies group with 15 updates:

Package From To
openai 1.42.0 1.43.0
rich 13.7.1 13.8.0
cohere 5.8.1 5.9.0
transformers 4.44.1 4.44.2
boto3 1.35.2 1.35.12
opensearch-py 2.7.0 2.7.1
pgvector 0.2.5 0.3.2
markdownify 0.11.6 0.13.1
qdrant-client 1.11.0 1.11.1
ollama 0.3.1 0.3.2
duckduckgo-search 6.2.10 6.2.11
sqlalchemy 2.0.32 2.0.34
diffusers 0.29.2 0.30.2
accelerate 0.32.1 0.34.0
torch 2.4.0 2.4.1

Updates openai from 1.42.0 to 1.43.0

Release notes

Sourced from openai's releases.

v1.43.0

1.43.0 (2024-08-29)

Full Changelog: v1.42.0...v1.43.0

Features

  • api: add file search result details to run steps (#1681) (f5449c0)
Changelog

Sourced from openai's changelog.

1.43.0 (2024-08-29)

Full Changelog: v1.42.0...v1.43.0

Features

  • api: add file search result details to run steps (#1681) (f5449c0)
Commits


Updates rich from 13.7.1 to 13.8.0

Release notes

Sourced from rich's releases.

The Thanks for your patience Release

This is a fairly large update. Mostly an accumulation of small fixes and enhancements. Nothing qualifies as a *breaking change (for some definition), but there may be some subtly changes to output. Check below for anything that might affect you!

[13.8.0] - 2024-08-26

Fixed

Changed

  • RichHandler errors and warnings will now use different colors (red and yellow) Textualize/rich#2825
  • Removed the empty line printed in jupyter while using Progress Textualize/rich#2616
  • Running tests in environment with FORCE_COLOR or NO_COLOR environment variables
  • ansi decoder will now strip problematic private escape sequences (like \x1b7) Textualize/rich#3278
  • Tree's ASCII_GUIDES and TREE_GUIDES constants promoted to class attributes

Added

  • Adds a case_sensitive parameter to prompt.Prompt. This determines if the response is treated as case-sensitive. Defaults to True.
  • Added Console.on_broken_pipe Textualize/rich#3468
Changelog

Sourced from rich's changelog.

[13.8.0] - 2024-08-26

Fixed

Changed

  • RichHandler errors and warnings will now use different colors (red and yellow) Textualize/rich#2825
  • Removed the empty line printed in jupyter while using Progress Textualize/rich#2616
  • Running tests in environment with FORCE_COLOR or NO_COLOR environment variables
  • ansi decoder will now strip problematic private escape sequences (like \x1b7) Textualize/rich#3278
  • Tree's ASCII_GUIDES and TREE_GUIDES constants promoted to class attributes

Added

  • Adds a case_sensitive parameter to prompt.Prompt. This determines if the response is treated as case-sensitive. Defaults to True.
  • Added Console.on_broken_pipe Textualize/rich#3468
Commits


Updates cohere from 5.8.1 to 5.9.0

Updates transformers from 4.44.1 to 4.44.2

Release notes

Sourced from transformers's releases.

Release v4.44.2

Patch release v4.44.2, mostly 2 regressions that were not caught for Jamba and for processors!

Commits


Updates boto3 from 1.35.2 to 1.35.12

Commits
  • 882adeb Merge branch 'release-1.35.12'
  • ea29dd5 Bumping version to 1.35.12
  • c071b3a Add changelog entries from botocore
  • 0f43c75 Merge branch 'release-1.35.11'
  • 70c7ec4 Merge branch 'release-1.35.11' into develop
  • 7ab2158 Bumping version to 1.35.11
  • 9569713 Add changelog entries from botocore
  • 7f86817 Merge pull request #4254 from boto/dependabot/github_actions/actions/setup-py...
  • a9d4593 Bump actions/setup-python from 5.1.0 to 5.2.0
  • 85cba10 Merge branch 'release-1.35.10'
  • Additional commits viewable in compare view


Updates opensearch-py from 2.7.0 to 2.7.1

Release notes

Sourced from opensearch-py's releases.

v2.7.1

What's Changed

Full Changelog: https://github.com/opensearch-project/opensearch-py/compare/v2.7.0...v2.7.1

Changelog

Sourced from opensearch-py's changelog.

[2.7.1]

Fixed

  • Fix indices.put_alias parameter order regression (#804)
Commits
  • d54aab4 Preparing for 2.7.1 release. (#805)
  • e26f3fc Add override for code generator to change indices.put_alias argument order ...
  • b994dc4 Preparing for next developer iteration, 2.7.1. (#802)
  • See full diff in compare view


Updates pgvector from 0.2.5 to 0.3.2

Changelog

Sourced from pgvector's changelog.

0.3.2 (2024-07-17)

  • Fixed error with asyncpg and pgvector < 0.7

0.3.1 (2024-07-10)

  • Fixed error parsing zero sparse vectors
  • Fixed error with Psycopg 2 and pgvector < 0.7
  • Fixed error message when vector type not found with Psycopg 3

0.3.0 (2024-06-25)

  • Added support for halfvec, bit, and sparsevec types to Django
  • Added support for halfvec, bit, and sparsevec types to SQLAlchemy and SQLModel
  • Added support for halfvec and sparsevec types to Psycopg 3
  • Added support for halfvec and sparsevec types to Psycopg 2
  • Added support for halfvec and sparsevec types to asyncpg
  • Added support for halfvec, bit, and sparsevec types to Peewee
  • Added L1Distance, HammingDistance, and JaccardDistance for Django
  • Added l1_distance, hamming_distance, and jaccard_distance for SQLAlchemy and SQLModel
  • Added l1_distance, hamming_distance, and jaccard_distance for Peewee
Commits
  • 4f721eb Version bump to 0.3.2 [skip ci]
  • 50fbcab Added todo [skip ci]
  • 4498caa Added test for Bit constructor with uint8
  • e77ee13 Updated publish task [skip ci]
  • 4672a4b Fixed error with asyncpg and pgvector < 0.7 - fixes #83
  • b87552b Improved example [skip ci]
  • 9c98a2d Added todo [skip ci]
  • 182fe84 Added Cohere example [skip ci]
  • 13450b0 Version bump to 0.3.1 [skip ci]
  • fcd7f61 Fixed backwards compatibility of type info query for Psycopg 2
  • Additional commits viewable in compare view


Updates markdownify from 0.11.6 to 0.13.1

Release notes

Sourced from markdownify's releases.

0.13.1

What's Changed

Full Changelog: https://github.com/matthewwithanm/python-markdownify/compare/0.13.0...0.13.1

0.13.0

What's Changed

New Contributors

Full Changelog: https://github.com/matthewwithanm/python-markdownify/compare/0.12.1...0.13.0

Fix wrong version

No release notes provided.

A load of new features

Huge thanks to all the contributors!

What's Changed

New Contributors

Full Changelog: https://github.com/matthewwithanm/python-markdownify/compare/0.11.6...0.12.0

Commits
  • b5c724a Merge branch 'develop'
  • 964d89f bump to version v0.13.1
  • 46dc1a0 Migrated the metadata into PEP 621-compliant pyproject.toml (#138)
  • 8c810eb Merge branch 'develop'
  • f6c8daf bump to v0.13.0
  • 75a678d fix pytest version to 8
  • 0a5c89a added test for ol start check
  • 51390d7 handle ol start value is not number (#127)
  • 50b4640 better naming for markup variables
  • 7861b33 Special-case use of HTML tags for converting \<sub> / \<sup> (#119)
  • Additional commits viewable in compare view


Updates qdrant-client from 1.11.0 to 1.11.1

Release notes

Sourced from qdrant-client's releases.

v1.11.1

Change Log

Features 📢

  • #753 - update fastembed to 0.3.6

Bug Fixes 🪲

Deprecations ⏳

Thanks to everyone, who've contributed to this release! @​hh-space-invader @​joein

Commits


Updates ollama from 0.3.1 to 0.3.2

Release notes

Sourced from ollama's releases.

v0.3.2

What's Changed

New Contributors

Full Changelog: https://github.com/ollama/ollama-python/compare/v0.3.1...v0.3.2

Commits
  • d98f646 IPv6 support (#262)
  • 981015c Merge pull request #261 from ollama/dependabot/pip/ruff-0.6.2
  • 9c34d81 Bump ruff from 0.5.5 to 0.6.2
  • 9f2832d Merge pull request #260 from ollama/dependabot/pip/pytest-asyncio-0.24.0
  • e220e46 Merge pull request #252 from ollama/dependabot/pip/pytest-httpserver-1.1.0
  • dfdeb7c Add URL path to client URL in in Client._parse_host() (#170)
  • 9e6726e Bump pytest-asyncio from 0.23.8 to 0.24.0
  • 10d0ff2 Bump pytest-httpserver from 1.0.12 to 1.1.0
  • See full diff in compare view


Updates duckduckgo-search from 6.2.10 to 6.2.11

Release notes

Sourced from duckduckgo-search's releases.

v6.2.11

Full Changelog: https://github.com/deedy5/duckduckgo_search/compare/v6.2.10...v6.2.11

v6.2.11b1

Full Changelog: https://github.com/deedy5/duckduckgo_search/compare/v6.2.8b1...v6.2.11b1

Commits
  • 57dcddb README: update install section (bump version with httpx to v6.2.11b1)
  • 91fcbf5 Bump version to v6.2.11
  • 95711eb [utils] bugfix _normalize_url() - replace space after unquote
  • 5c0e9ec README: proxy example section - add coupon
  • See full diff in compare view


Updates sqlalchemy from 2.0.32 to 2.0.34

Release notes

Sourced from sqlalchemy's releases.

2.0.34

Released: September 4, 2024

orm

  • [orm] [bug] Fixed regression caused by issue #11814 which broke support for certain flavors of PEP 593 Annotated in the type_annotation_map when builtin types such as list, dict were used without an element type. While this is an incomplete style of typing, these types nonetheless previously would be located in the type_annotation_map correctly.

    References: #11831

sqlite

  • [sqlite] [bug] Fixed regression in SQLite reflection caused by #11677 which interfered with reflection for CHECK constraints that were followed by other kinds of constraints within the same table definition. Pull request courtesy Harutaka Kawamura.

    References: #11832

2.0.33

Released: September 3, 2024

general

  • [general] [change] The pin for setuptools<69.3 in pyproject.toml has been removed. This pin was to prevent a sudden change in setuptools to use PEP 625 from taking place, which would change the file name of SQLAlchemy's source distribution on pypi to be an all lower case name, which is likely to cause problems with various build environments that expected the previous naming style. However, the presence of this pin is holding back environments that otherwise want to use a newer setuptools, so we've decided to move forward with this change, with the assumption that build environments will have largely accommodated the setuptools change by now.

    References: #11818

orm

  • [orm] [bug] [regression] Fixed regression from 1.3 where the column key used for a hybrid property might be populated with that of the underlying column that it returns, for a property that returns an ORM mapped column directly, rather than the key

... (truncated)

Commits


Updates diffusers from 0.29.2 to 0.30.2

Release notes

Sourced from diffusers's releases.

v0.30.2: Update from single file default repository

All commits

  • update runway repo for single_file by @​yiyixuxu in #9323
  • Fix Flux CLIP prompt embeds repeat for num_images_per_prompt > 1 by @​DN6 in #9280
  • [IP Adapter] Fix cache_dir and local_files_only for image encoder by @​asomoza in #9272

V0.30.1: CogVideoX-5B & Bug fixes

CogVideoX-5B

This patch release adds diffusers support for the upcoming CogVideoX-5B release! The model weights will be available next week on the Huggingface Hub at THUDM/CogVideoX-5b. Stay tuned for the release!

Additionally, we have implemented VAE tiling feature, which reduces the memory requirement for CogVideoX models. With this update, the total memory requirement is now 12GB for CogVideoX-2B and 21GB for CogVideoX-5B (with CPU offloading). To Enable this feature, simply call enable_tiling() on the VAE.

The code below shows how to generate a video with CogVideoX-5B

import torch
from diffusers import CogVideoXPipeline
from diffusers.utils import export_to_video

prompt = "Tracking shot,late afternoon light casting long shadows,a cyclist in athletic gear pedaling down a scenic mountain road,winding path with trees and a lake in the background,invigorating and adventurous atmosphere."


pipe = CogVideoXPipeline.from_pretrained(
"THUDM/CogVideoX-5b",
torch_dtype=torch.bfloat16
)


pipe.enable_model_cpu_offload()
pipe.vae.enable_tiling()


video = pipe(
prompt=prompt,
num_videos_per_prompt=1,
num_inference_steps=50,
num_frames=49,
guidance_scale=6,
).frames[0]


export_to_video(video, "output.mp4", fps=8)

https://github.com/user-attachments/assets/c2d4f7e8-ef86-4da6-8085-cb9f83f47f34

Refer to our documentation to learn more about it.

All commits

... (truncated)

Commits
  • f63c126 Release: v0.30.2
  • be5995a update runway repo for single_file (#9323)
  • 0659784 Fix Flux CLIP prompt embeds repeat for num_images_per_prompt > 1 (#9280)
  • cc1e589 [IP Adapter] Fix cache_dir and local_files_only for image encoder (#9272)
  • 8b9bfae Release v0.30.1
  • b12c7f8 [Single File] Support loading Comfy UI Flux checkpoints (#9243)
  • 06f3671 Cogvideox-5B Model adapter change (#9203)
  • 19c5d7b [tests] fix broken xformers tests (#9206)
  • 99a64aa [Flux LoRA] support parsing alpha from a flux lora state dict. (#9236)
  • 1bb4196 [Single File] Fix configuring scheduler via legacy kwargs (#9229)
  • Additional commits viewable in compare view


Updates accelerate from 0.32.1 to 0.34.0

Release notes

Sourced from accelerate's releases.

v0.34.0: StatefulDataLoader Support, FP8 Improvements, and PyTorch Updates!

Dependency Changes

  • Updated Safetensors Requirement: The library now requires safetensors version 0.4.3.
  • Added support for Numpy 2.0: The library now fully supports numpy 2.0.0

Core

New Script Behavior Changes

  • Process Group Management: PyTorch now requires users to destroy process groups after training. The accelerate library will handle this automatically with accelerator.end_training(), or you can do it manually using PartialState().destroy_process_group().
  • MLU Device Support: Added support for saving and loading RNG states on MLU devices by @​huismiling
  • NPU Support: Corrected backend and distributed settings when using transfer_to_npu, ensuring better performance and compatibility.

DataLoader Enhancements

  • Stateful DataDataLoader: We are excited to announce that early support has been added for the StatefulDataLoader from torchdata, allowing better handling of data loading states. Enable by passing use_stateful_dataloader=True to the DataLoaderConfiguration, and when calling load_state() the DataLoader will automatically be resumed from its last step, no more having to iterate through passed batches.
  • Decoupled Data Loader Preparation: The prepare_data_loader() function is now independent of the Accelerator, giving you more flexibility towards which API levels you would like to use.
  • XLA Compatibility: Added support for skipping initial batches when using XLA.
  • Improved State Management: Bug fixes and enhancements for saving/loading DataLoader states, ensuring smoother training sessions.
  • Epoch Setting: Introduced the set_epoch function for MpDeviceLoaderWrapper.

FP8 Training Improvements

  • Enhanced FP8 Training: Fully Sharded Data Parallelism (FSDP) and DeepSpeed support now work seamlessly with TransformerEngine FP8 training, including better defaults for the quantized FP8 weights.
  • Integration baseline: We've added a new suite of examples and benchmarks to ensure that our TransformerEngine integration works exactly as intended. These scripts run one half using 🤗 Accelerate's integration, the other with raw TransformersEngine, providing users with a nice example of what we do under the hood with accelerate, and a good sanity check to make sure nothing breaks down over time. Find them here
  • Import Fixes: Resolved issues with import checks for the Transformers Engine that has downstream issues.
  • FP8 Docker Images: We've added new docker images for TransformerEngine and accelerate as well. Use docker pull huggingface/accelerate@gpu-fp8-transformerengine to quickly get an environment going.

torchpippy no more, long live torch.distributed.pipelining

  • With the latest PyTorch release, torchpippy is now fully integrated into torch core, and as a result we are exclusively supporting the PyTorch implementation from now on
  • There are breaking examples and changes that comes from this shift. Namely:
    • Tracing of inputs is done with a shape each GPU will see, rather than the size of the total batch. So for 2 GPUs, one should pass in an input of [1, n, n] rather than [2, n, n] as before.
    • We no longer support Encoder/Decoder models. PyTorch tracing for pipelining no longer supports encoder/decoder models, so the t5 example has been removed.
    • Computer vision model support currently does not work: There are some tracing issues regarding resnet's we are actively looking into.
  • If either of these changes are too breaking, we recommend pinning your accelerate version. If the encoder/decoder model support is actively blocking your inference using pippy, please open an issue and let us know. We can look towards adding in the old support for torchpippy potentially if needed.

Fully Sharded Data Parallelism (FSDP)

  • Environment Flexibility: Environment variables are now fully optional for FSDP, simplifying configuration. You can now fully create a FullyShardedDataParallelPlugin yourself manually with no need for environment patching:
from accelerate import FullyShardedDataParallelPlugin
fsdp_plugin = FullyShardedDataParallelPlugin(...)
  • FSDP RAM efficient loading: Added a utility to enable RAM-efficient model loading (by setting the proper environmental variable). This is generally needed if not using accelerate launch and need to ensure the env variables are setup properly for model loading:
from accelerate.utils import enable_fsdp_ram_efficient_loading, disable_fsdp_ram_efficient_loading
enable_fsdp_ram_efficient_loading()
  • Model State Dict Management: Enhanced support for unwrapping model state dicts in FSDP, making it easier to manage distributed models.

New Examples

... (truncated)

Commits
  • 159c0dd Release: v0.34.0
  • 8931e5e Remove skip_first_batches support for StatefulDataloader and fix all the te...
  • a848592 Speed up tests by shaving off subprocess when not needed (#3042)
  • 758d624 add set_epoch for MpDeviceLoaderWrapper (#3053)
  • b07ad2a Fix typo in comment (#3045)
  • 1d09a20 use duck-typing to ensure underlying optimizer supports schedulefree hooks (#...
  • 3fcc946 Do not import transformer_engine on import (#3056)
  • 939ce40 Update torchpippy (#2938)
  • c212092 Add FP8 docker images (#3048)
  • 654e1d9 Add a SLURM example with minimal config (#2950)
  • Additional commits viewable in compare view


Updates torch from 2.4.0 to 2.4.1

Release notes

Sourced from torch's releases.

PyTorch 2.4.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Breaking Changes:

  • The pytorch/pytorch docker image now installs the PyTorch package through pip and has switch its conda installation from miniconda to miniforge (#134274)

Windows:

  • Fix performance regression on Windows related to MKL static linking (#130619) (#130697)
  • Fix error during loading on Windows: [WinError 126] The specified module could not be found. (#131662) (#130697)
  • Fix error on Windows with CPU inference (#131958) (#130697)

MPS:

  • Fix tensor.clamp produces wrong values (#130226)
  • Fix Incorrect result from batch norm with sliced inputs (#133610)

ROCM:

  • Fix for launching kernel invalid config error when calling embedding with large index (#130994)
  • Added a check and a warning when attempting to use hipBLASLt on an unsupported architecture (#128753)
  • Fix image corruption with Memory Efficient Attention when running HuggingFace Diffusers Stable Diffusion 3 pipeline (#133331)

Distributed:

  • Fix FutureWarning when using torch.load internally (#130663)
  • Fix FutureWarning when using torch.cuda.amp.autocast internally (#130660)

Torch.compile:

  • Fix exception with torch compile when onnxruntime-training and deepspeed packages are installed. (#131194)
  • Fix silent incorrectness with torch.library.custom_op with mutable inputs and torch.compile (#133452)
  • Fix SIMD detection on Linux ARM (#129075)
  • Do not use C++20 features in cpu_inducotr code (#130816)

Packaging:

  • Fix for exposing statically linked l... _Description has been truncated_
codecov[bot] commented 3 weeks ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

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