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mistralai

Mistral AIgithub.com/mistralai/client-python

Python Client SDK for the Mistral AI API.

quality64

Updated 3 h ago · first seen 11 Sept 2026

lib_01M29A9GW5YMSVFBGWPV6W47Q2

Version
2.10.0
T2 · 3 h ago
Released
9 Sept 2026
T2 · 3 h ago

As of

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11 claims · 11 properties

Repositoryrepository_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://github.com/mistralai/client-pythoncurrentcurrentPyPI public package metadataT2mediumdeterministic

Authorauthor1

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ValueValid from → toStatusSourceConfidenceExtractor
MistralcurrentcurrentPyPI public package metadataT2mediumdeterministic

Descriptiondescription1

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Python Client SDK for the Mistral AI API.currentcurrentPyPI public package metadataT2mediumdeterministic

Latest releaselatest_release_at1

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ValueValid from → toStatusSourceConfidenceExtractor
9 Sept 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Latest versionlatest_version1

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ValueValid from → toStatusSourceConfidenceExtractor
2.10.0currentcurrentPyPI public package metadataT2mediumdeterministic

Releasesmetric.releases1

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ValueValid from → toStatusSourceConfidenceExtractor
108currentcurrentPyPI public package metadataT2mediumdeterministic

PyPIpypi1

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ValueValid from → toStatusSourceConfidenceExtractor
mistralaicurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi release atpypi_release_at1

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ValueValid from → toStatusSourceConfidenceExtractor
9 Sept 2026currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi urlpypi_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://pypi.org/project/mistralai/currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi versionpypi_version1

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ValueValid from → toStatusSourceConfidenceExtractor
2.10.0currentcurrentPyPI public package metadataT2mediumdeterministic

Requires pythonrequires_python1

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>=3.10currentcurrentPyPI public package metadataT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →