May 11: Support for Amazon Bedrock models, McPoogle MCP search engine, bug fixes
New Features
π‘ Graphlit now supports Amazon Bedrock models for LLM completion, preparation and extraction. Currently, we only support 'bring your own key' for models in your Bedrock environment, but will support per-credit usage of Bedrock models in an upcoming release.
We have launched our MCP search engine, called McPoogle, for finding MCP servers and tools. We also launched McPoogle as a remote MCP server, which you can use within AI-native IDEs such as Cline, Cursor or Windsurf.
We have launched a remote MCP server for 'Ask Graphlit', where you can get code generation of Graphlit SDK samples within AI-native IDEs such as Cline, Cursor or Windsurf.
We have added support for providing a 'seed' image when performing image generation. You can select an example image content, by reference, and use that to guide the image generation model for following your user prompt.
Bugs Fixed
GPLA-4194: Parsing raw GitHub README has extra HTML at end
GPLA-4202: Round-trip markdown to TextDocument loses Markdown list items
GPLA-4235: Hybrid RRF threshold is removing too many sources
GPLA-4233: Can't send just image & system prompt to Anthropic LLM
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