
During November 2025, Marko Mandic delivered a feature update to the BerriAI/litellm repository, focusing on the Haiku 4.5 model provider. He migrated the model to the bedrock_converse provider, increasing token limits and enabling new capabilities such as vision and computer-use features. Marko addressed configuration issues to ensure stable deployment, enhancing model throughput and reducing future maintenance risk. His work involved API integration, model configuration, and unit testing, primarily using Python and JSON. The update broadened the model’s capabilities for end users and established a more robust deployment path, reflecting a focused and technically sound engineering contribution.

Monthly summary for 2025-11: Delivered Haiku 4.5 Model Provider Update and Capability Expansion within BerriAI/litellm. Switched Haiku 4.5 to the bedrock_converse provider, increased token limits, and added support for vision and computer-use features. Fixed bedrock configuration issues to ensure stable deployment (commit 355eff8723dd5eaeb879feabcd8edd02265a7ff9). This work enhances model throughput, broadens capabilities for end users, and reduces future maintenance risk.
Monthly summary for 2025-11: Delivered Haiku 4.5 Model Provider Update and Capability Expansion within BerriAI/litellm. Switched Haiku 4.5 to the bedrock_converse provider, increased token limits, and added support for vision and computer-use features. Fixed bedrock configuration issues to ensure stable deployment (commit 355eff8723dd5eaeb879feabcd8edd02265a7ff9). This work enhances model throughput, broadens capabilities for end users, and reduces future maintenance risk.
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