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Daria Korenieva
d2d5384f28
* Python: Add Mistral AI embedding client package Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: fix dimensions check, sort embeddings by index, align docs Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: downgrade to alpha, remove integration tests - Change version to 1.0.0a260505 (alpha) - Update classifier to Development Status :: 3 - Alpha - Update PACKAGE_STATUS.md to alpha - Remove Mistral from integration test workflows (no API keys yet) Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Add samples directory for alpha package compliance Per python-package-management skill: alpha packages must include samples inside the package directory. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Fix ruff formatting in sample file Signed-off-by: Daria Korenieva <daric2612@gmail.com> --------- Signed-off-by: Daria Korenieva <daric2612@gmail.com>
749 B
749 B
Mistral Package (agent-framework-mistral)
Integration with Mistral AI for embedding generation.
Main Classes
MistralEmbeddingClient- Embedding client for Mistral AI modelsMistralEmbeddingOptions- Options TypedDict for Mistral-specific embedding parametersMistralEmbeddingSettings- TypedDict settings for Mistral configuration
Usage
from agent_framework_mistral import MistralEmbeddingClient
# Requires MISTRAL_API_KEY environment variable (or pass api_key= directly)
client = MistralEmbeddingClient(model="mistral-embed")
result = await client.get_embeddings(["Hello, world!"])
print(result[0].vector)
Import Path
from agent_framework_mistral import MistralEmbeddingClient