{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Integrates AWS Bedrock's Converse API with LlamaIndex, enabling LLM applications to call foundation models like Claude through Bedrock with support for streaming, function calling, and prompt caching.","skillfed_tags":["bedrock","llm-integration","aws"],"use_cases":["Build RAG pipelines using Claude or other Bedrock models within LlamaIndex without vendor lock-in to direct API calls.","Stream LLM responses in real-time chat applications by calling Bedrock's streaming endpoints through LlamaIndex.","Enable agents to call external functions via Bedrock's native function-calling support integrated with LlamaIndex tools.","Reduce inference costs on repeated queries by leveraging Bedrock's prompt caching with strategic cache points.","Use provisioned Bedrock capacity via Application Inference Profiles for predictable, scaled workloads."],"what_it_does":"This package bridges LlamaIndex and AWS Bedrock's Converse API, allowing you to build LLM applications that call foundation models (Claude, Command, Mistral) through Bedrock instead of directly. It wraps boto3 calls and integrates with LlamaIndex's LLM interface, so you can use Bedrock models anywhere LlamaIndex expects an LLM\u2014in RAG pipelines, agents, or standalone completions.\n\nThe package supports the full Bedrock Converse feature set: streaming completions and chat, function calling with tool integration, prompt caching to reduce costs on repeated context, and async operations. You authenticate via AWS profiles, access keys, or session tokens, and can optionally route requests through Application Inference Profiles for provisioned capacity.","worth_installing":"Yes. This is a straightforward, actively maintained integration with low install friction and no known vulnerabilities. Install it if you're already using LlamaIndex and want to run Bedrock models; skip it if you're calling Bedrock directly or using a different LLM framework."},"id":"llama-index-llms-bedrock-converse","links":{"html":"https://skillfed.io/packages/llama-index-llms-bedrock-converse","md":"https://skillfed.io/packages/llama-index-llms-bedrock-converse.md","pypi":"https://pypi.org/project/llama-index-llms-bedrock-converse/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-llms-bedrock-converse","python_support":"supports_current","summary":"llama-index llms bedrock converse integration"},"popularity":{"monthly_downloads":247061,"position":8700,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.14.18"}