Open iGherghe opened 2 months ago
Python 3.12.4 | packaged by Anaconda, Inc. | (main, Jun 18 2024, 15:12:24) [GCC 11.2.0]
annotated-types==0.7.0 anyio==4.4.0 attrs==24.2.0 certifi==2024.7.4 charset-normalizer==3.3.2 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpath-python==1.0.6 jsonschema==4.21.1 jsonschema-specifications==2023.12.1 mistral_common==1.3.3 mistralai==1.0.0 mypy-extensions==1.0.0 pydantic==2.6.1 pydantic_core==2.16.2 python-dateutil==2.9.0.post0 referencing==0.35.1 regex==2024.7.24 requests==2.32.3 rpds-py==0.20.0 sentencepiece==0.2.0 setuptools==72.1.0 six==1.16.0 sniffio==1.3.1 tiktoken==0.7.0 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.2 wheel==0.43.0
In a fresh conda environment I've tried to install mistralai and mistral-common:
pip install mistralai pip install mistral-common
First command worked. For the second one I got an error because pydantic from mistral-common is not compatible with the one installed by mistralai:
pip install mistral-common Collecting mistral-common Using cached mistral_common-1.3.3-py3-none-any.whl.metadata (4.1 kB) Collecting jsonschema==4.21.1 (from mistral-common) Using cached jsonschema-4.21.1-py3-none-any.whl.metadata (7.8 kB) Collecting pydantic==2.6.1 (from mistral-common) Using cached pydantic-2.6.1-py3-none-any.whl.metadata (83 kB) Collecting sentencepiece==0.2.0 (from mistral-common) Using cached sentencepiece-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB) Collecting tiktoken<0.8.0,>=0.7.0 (from mistral-common) Using cached tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB) Requirement already satisfied: typing-extensions<5.0.0,>=4.11.0 in /home/paul/miniconda3/envs/mistralprompts/lib/python3.12/site-packages (from mistral-common) (4.12.2) Collecting attrs>=22.2.0 (from jsonschema==4.21.1->mistral-common) Using cached attrs-24.2.0-py3-none-any.whl.metadata (11 kB) Collecting jsonschema-specifications>=2023.03.6 (from jsonschema==4.21.1->mistral-common) Using cached jsonschema_specifications-2023.12.1-py3-none-any.whl.metadata (3.0 kB) Collecting referencing>=0.28.4 (from jsonschema==4.21.1->mistral-common) Using cached referencing-0.35.1-py3-none-any.whl.metadata (2.8 kB) Collecting rpds-py>=0.7.1 (from jsonschema==4.21.1->mistral-common) Using cached rpds_py-0.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.2 kB) Requirement already satisfied: annotated-types>=0.4.0 in /home/paul/miniconda3/envs/mistralprompts/lib/python3.12/site-packages (from pydantic==2.6.1->mistral-common) (0.7.0) Collecting pydantic-core==2.16.2 (from pydantic==2.6.1->mistral-common) Using cached pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB) Collecting regex>=2022.1.18 (from tiktoken<0.8.0,>=0.7.0->mistral-common) Using cached regex-2024.7.24-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB) Collecting requests>=2.26.0 (from tiktoken<0.8.0,>=0.7.0->mistral-common) Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) Collecting charset-normalizer<4,>=2 (from requests>=2.26.0->tiktoken<0.8.0,>=0.7.0->mistral-common) Using cached charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB) Requirement already satisfied: idna<4,>=2.5 in /home/paul/miniconda3/envs/mistralprompts/lib/python3.12/site-packages (from requests>=2.26.0->tiktoken<0.8.0,>=0.7.0->mistral-common) (3.7) Collecting urllib3<3,>=1.21.1 (from requests>=2.26.0->tiktoken<0.8.0,>=0.7.0->mistral-common) Using cached urllib3-2.2.2-py3-none-any.whl.metadata (6.4 kB) Requirement already satisfied: certifi>=2017.4.17 in /home/paul/miniconda3/envs/mistralprompts/lib/python3.12/site-packages (from requests>=2.26.0->tiktoken<0.8.0,>=0.7.0->mistral-common) (2024.7.4) Using cached mistral_common-1.3.3-py3-none-any.whl (3.3 MB) Using cached jsonschema-4.21.1-py3-none-any.whl (85 kB) Using cached pydantic-2.6.1-py3-none-any.whl (394 kB) Using cached sentencepiece-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB) Using cached pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) Using cached tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB) Using cached attrs-24.2.0-py3-none-any.whl (63 kB) Using cached jsonschema_specifications-2023.12.1-py3-none-any.whl (18 kB) Using cached referencing-0.35.1-py3-none-any.whl (26 kB) Using cached regex-2024.7.24-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (790 kB) Using cached requests-2.32.3-py3-none-any.whl (64 kB) Using cached rpds_py-0.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (357 kB) Using cached charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (141 kB) Using cached urllib3-2.2.2-py3-none-any.whl (121 kB) Installing collected packages: sentencepiece, urllib3, rpds-py, regex, pydantic-core, charset-normalizer, attrs, requests, referencing, pydantic, tiktoken, jsonschema-specifications, jsonschema, mistral-common Attempting uninstall: pydantic-core Found existing installation: pydantic_core 2.20.1 Uninstalling pydantic_core-2.20.1: Successfully uninstalled pydantic_core-2.20.1 Attempting uninstall: pydantic Found existing installation: pydantic 2.8.2 Uninstalling pydantic-2.8.2: Successfully uninstalled pydantic-2.8.2 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. mistralai 1.0.0 requires pydantic<2.9.0,>=2.8.2, but you have pydantic 2.6.1 which is incompatible. Successfully installed attrs-24.2.0 charset-normalizer-3.3.2 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 mistral-common-1.3.3 pydantic-2.6.1 pydantic-core-2.16.2 referencing-0.35.1 regex-2024.7.24 requests-2.32.3 rpds-py-0.20.0 sentencepiece-0.2.0 tiktoken-0.7.0 urllib3-2.2.2
I expect to be able to install both packages without incompatibilities in the same environment
I've tested the above with both Python 3.12 and 3.11 and got same error during installation
No response
Thanks for the issue! https://github.com/mistralai/mistral-common/pull/40 should solve it
Python -VV
Pip Freeze
Reproduction Steps
In a fresh conda environment I've tried to install mistralai and mistral-common:
First command worked. For the second one I got an error because pydantic from mistral-common is not compatible with the one installed by mistralai:
Expected Behavior
I expect to be able to install both packages without incompatibilities in the same environment
Additional Context
I've tested the above with both Python 3.12 and 3.11 and got same error during installation
Suggested Solutions
No response