Skip to main content

Use models like Gemini via Google Gen AI SDK

Project description

Google Gen AI Haystack Integration

PyPI - Version PyPI - Python Version


Contributing

Refer to the general Contribution Guidelines.

To run integration tests locally, you need to export the GOOGLE_API_KEY environment variable.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google_genai_haystack-3.3.0.tar.gz (814.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

google_genai_haystack-3.3.0-py3-none-any.whl (25.8 kB view details)

Uploaded Python 3

File details

Details for the file google_genai_haystack-3.3.0.tar.gz.

File metadata

  • Download URL: google_genai_haystack-3.3.0.tar.gz
  • Upload date:
  • Size: 814.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Hatch/1.16.3 cpython/3.12.12 HTTPX/0.28.1

File hashes

Hashes for google_genai_haystack-3.3.0.tar.gz
Algorithm Hash digest
SHA256 107ec550cda4d1ced7e47da74ed48f285b7c0455ed80b0b10908aff3234cae8d
MD5 4c22e5bb6baa67d28e5d0f4cc34b7d3e
BLAKE2b-256 a011d3677531f88c4d403a4d2b2e226d2e5a59d674166842a1a218bd22f5c2db

See more details on using hashes here.

File details

Details for the file google_genai_haystack-3.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for google_genai_haystack-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8c3b6888e54f93f58693668ca8ecb6f11d46f6d021c3e225719b9eb7c3667a24
MD5 30cd89fd6ba89bd40530fe1929b0365b
BLAKE2b-256 82142b51767ff8631f8c6b82c20d4e2c20a3ab8515e1d5e6f4f4851037953400

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page