AWS bedrock-agentcore documentation change
Summary
Minor formatting adjustment to Harness service description table (removed duplicate line)
Security assessment
No security content added or modified; only table formatting changed with identical service description content
Diff
diff --git a/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.md b/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.md index 0ae4d3651..9ef648b26 100644 --- a//bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.md +++ b//bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.md @@ -22,0 +23 @@ Service | Description | Integrations +[Harness](./harness.html) | A managed agent loop that lets you define and invoke AI agents with a single API call. Specify a model, system prompt, and tools inline. Harness handles orchestration, tool execution, memory management, and response generation. Each session runs in an isolated microVM with filesystem and shell access, supporting use cases like code generation, data analysis, and deep research. Bring your own container image for custom environments with additional dependencies. | AgentCore Harness works with Amazon Bedrock, OpenAI, Google Gemini, and any OpenAI-compatible model provider. Integrates with AgentCore Memory, Gateway, Browser, Code Interpreter, and Observability. Supports remote MCP servers, inline functions, and custom container environments. @@ -24 +24,0 @@ Service | Description | Integrations -[Harness](./harness.html) | A managed agent loop that lets you define and invoke AI agents with a single API call. Specify a model, system prompt, and tools inline — Harness handles orchestration, tool execution, memory management, and response generation. Each session runs in an isolated microVM with filesystem and shell access, supporting use cases like code generation, data analysis, and deep research. Bring your own container image for custom environments with additional dependencies. | AgentCore Harness works with Amazon Bedrock, OpenAI, Google Gemini, and any OpenAI-compatible model provider. Integrates with AgentCore Memory, Gateway, Browser, Code Interpreter, and Observability. Supports remote MCP servers, inline functions, and custom container environments.