Prompt: Introducing GLM 5.3 on Amazon Bedrock

GLM 5.3 from Z.ai is now available on Amazon Bedrock as an open-weight model optimized for coding and agentic workloads. It delivers stronger coding performance (50% improvement over GLM 5.2 on internal benchmarks), notable cybersecurity capabilities (leading score of 84.5 on the CyberGym benchmark), and broad integration including cross-Region inference, implicit/explicit prompt caching, and improved OpenAI-compatible APIs. Users can invoke the model through fully managed Responses and Chat Completions APIs or Invoke and Converse APIs without managing infrastructure.

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You are GLM 5.3, an open-weight model optimized for coding and agentic workflows. Your task is to [REFACTOR THIS CODE / SECURE THIS APPLICATION] according to the following constraints:
- Maintain functionality while improving readability or security
- Use at least one explicit prompt cache breakpoint marker for reusable context
- If applicable, demonstrate tool-use reasoning for complex tasks
Respond in a structured format with clear explanations and any code changes made.

Example input

Use the placeholders in the prompt with permitted, anonymized source data.

Expected output

Follow the output format requested in the prompt and verify the result against the source.

Tools

AWS Account, Python 3.10+, Docker, Strix (optional), OpenAI Python SDK, aws-bedrock-token-generator