python-fm-playground
python-fm-playground copied to clipboard
build-on-aws
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
Bumps [idna](https://github.com/kjd/idna) from 3.4 to 3.7. Release notes Sourced from idna's releases. v3.7 What's Changed Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [starlette](https://github.com/encode/starlette) from 0.27.0 to 0.36.2. Release notes Sourced from starlette's releases. Version 0.36.2 Fixed Upgrade python-multipart to 0.0.7 13e5c26. Avoid duplicate charset on Content-Type #2443. Full Changelog: https://github.com/encode/starlette/compare/0.36.1...0.36.2 Version...
Bumps [fastapi](https://github.com/tiangolo/fastapi) from 0.104.1 to 0.109.1. Release notes Sourced from fastapi's releases. 0.109.1 Security fixes ⬆️ Upgrade minimum version of python-multipart to >=0.0.7 to fix a vulnerability when using form...
*Issue #, if available:* N/A *Description of changes:* According to [the docs](https://docs.anthropic.com/claude/docs/how-to-use-system-prompts#legacy-system-prompts-via-text-completions-api) for Claude v2, using the Text Completion end-point, the system prompt should appear immediately **before** the Human prompt....
*Description of changes:* Model name has changed, let's track along with that. By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under...
  POST foundation-models/model/image/stability.stable-diffusion-xl/invoke HTTP/1.1" 500 Internal Server E
Followed the set up guide, (I needed python >3.10) I could not find where to request access in my aws account for _anthropic.claude-v2_ in bedrock. I assume this version of...
Metadata
Owner
Metadata
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.