AWS prescriptive-guidance documentation change
Summary
Removed direct hyperlinks to external case study and blog post, converting them to plain text references while maintaining content about CrewAI integration with Amazon Bedrock.
Security assessment
Changes involve link formatting removal without modifying security-related content. The existing mentions of 'secure framework' and 'compliance guardrails' remain unchanged, indicating no new security implications or vulnerability fixes.
Diff
diff --git a/prescriptive-guidance/latest/agentic-ai-frameworks/crewai.md b/prescriptive-guidance/latest/agentic-ai-frameworks/crewai.md index 837fca14a..296593903 100644 --- a//prescriptive-guidance/latest/agentic-ai-frameworks/crewai.md +++ b//prescriptive-guidance/latest/agentic-ai-frameworks/crewai.md @@ -68 +68 @@ This role-based approach mirrors human team structures, making it intuitive for -AWS has implemented autonomous multi-agent systems using CrewAI integrated with Amazon Bedrock, as detailed in the [CrewAI published case study](https://www.crewai.com/case-studies/aws-powers-bedrock-agents-with-crewai). AWS and CrewAI developed a secure, vendor‑neutral framework. The CrewAI open‑source "flows‑and‑crews" architecture seamlessly integrates with Amazon Bedrock foundation models, memory systems, and compliance guardrails. +AWS has implemented autonomous multi-agent systems using CrewAI integrated with Amazon Bedrock, as detailed in the CrewAI published case study. AWS and CrewAI developed a secure, vendor‑neutral framework. The CrewAI open‑source "flows‑and‑crews" architecture seamlessly integrates with Amazon Bedrock foundation models, memory systems, and compliance guardrails. @@ -72 +72 @@ Key elements of the implementation include: - * **Blueprints and open sourcing** – AWS and CrewAI [released reference designs](https://aws.amazon.com/blogs/machine-learning/build-agentic-systems-with-crewai-and-amazon-bedrock/) that map CrewAI agents to Amazon Bedrock models and observability tools. They also released exemplar systems such as a multi‑agent AWS security audit crew, code modernization flows, and consumer packaged goods (CPG) back‑office automation. + * **Blueprints and open sourcing** – AWS and CrewAI released [reference designs](https://aws.amazon.com/blogs/machine-learning/build-agentic-systems-with-crewai-and-amazon-bedrock) that map CrewAI agents to Amazon Bedrock models and observability tools. They also released exemplar systems such as a multi‑agent AWS security audit crew, code modernization flows, and consumer packaged goods (CPG) back‑office automation.