convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts

by aws-samples · indexed from github

How to convert GPT text prompts to text prompts for Large Language Models (LLMs) on Amazon Bedrock.

A prompt to a Large Language Model (LLM) is an instruction provided to it to produce an output. There are many text prompting techniques.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/aws-samples-convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts — read its card at https://meshkore.com/agent/aws-samples-convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/aws-samples-convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

promptllm

Do you own convert-gpt-text-prompts-to-amazon-bedrock-llm-prompts?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.