ピエル
ピエル
### Use case Implement a Python-based example project showcasing how to leverage the capabilities of a multi-agent orchestrator for natural language to SQL (NL2SQL) tasks. ### Solution/User Experience Enhance the...
### Use case Using Amazon Bedrock with DynamoDB for a production use case. A highly valuable feature would be the ability to detect and replace sensitive content with placeholders (e.g.,...
### Use case Leverage streaming retriever option to ensure faster retrieval. ### Solution/User Experience Using RetrieveAndGenerateStream from https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent-runtime_RetrieveAndGenerateStream.html ### Alternative solutions ```markdown ```
### Expected Behaviour I have created an AWS Lambda function using Node.js to enable native streaming responses. The Lambda function leverages an AgentSupervisor composed of multiple BedrockLLMAgent instances. - The...
Implement AgentOverlapAnalyzer in Python [Issue #119] @cornelcroi Adding Unit tests to verify: - Correct behavior when no agents are provided. - Correct behavior when only one agent is provided. -...
### Use case Add a section to the documentation explaining what the Agentic Pattern is. Reference relevant use cases or scenarios where it can be applied. Add sample of code...
### **Title:** Add support for replacing sensitive content in `DynamoDbChatStorage` [Issue #131] @brnaba-aws ### **Description:** #### **Overview:** This PR introduces the ability to replace sensitive content in chat messages when...
### Use case Adding native support for OllamaAgent and OllamaClassifier would significantly enhance the project's capabilities, enabling the development of powerful, locally hosted GenAI use cases. ### Solution/User Experience Extend...
## Description This pull request introduces support for the Ollama LLM, integrating it as a first-class agent within the `agent-squad` framework. Link to issue #335. It includes the following key...