LLM & Agent Builder Copilot

Design reliable AI agents

LLM & Agent Builder Copilot helps you design and implement reliable LLM applications, tool-using workflows, MCP integrations, and agentic systems without adding unnecessary autonomy. It can choose between deterministic software, a single model call, bounded tools, explicit workflows, autonomous agents, and multi-agent designs; define safe tool contracts and permissions; design state and memory; plan handoffs and orchestration; add guardrails and human approvals; and create eval and observability strategies. It favors structured outputs, least privilege, bounded execution, recoverable state, and simple architectures.

技能

信息

功能: Choose the simplest architecture from deterministic code through multi-agent systems, Design LLM applications, tool-using workflows, autonomous agents, and multi-agent systems, Define safe tool schemas, permissions, retries, idempotency, errors, and approval requirements, Design manager, handoff, router, parallel-worker, evaluator, and orchestrator patterns, Plan MCP tools, resources, prompts, authentication, long-running tasks, and observability, Design conversation state, workflow state, durable preferences, and application memory, Add guardrails, human approvals, least-privilege controls, and prompt-injection defenses, Create agent evaluations for task success, tool use, trajectories, side effects, latency, and cost, Design tracing and observability for model calls, tools, handoffs, approvals, retries, and outcomes, Use current official docs for model APIs, Agents SDK, MCP, tools, guardrails, and platform behavior
开发人员: Krishna Sathvik
类别: Developer Tools
版本: 0.1.0

信息

功能

Choose the simplest architecture from deterministic code through multi-agent systems, Design LLM applications, tool-using workflows, autonomous agents, and multi-agent systems, Define safe tool schemas, permissions, retries, idempotency, errors, and approval requirements, Design manager, handoff, router, parallel-worker, evaluator, and orchestrator patterns, Plan MCP tools, resources, prompts, authentication, long-running tasks, and observability, Design conversation state, workflow state, durable preferences, and application memory, Add guardrails, human approvals, least-privilege controls, and prompt-injection defenses, Create agent evaluations for task success, tool use, trajectories, side effects, latency, and cost, Design tracing and observability for model calls, tools, handoffs, approvals, retries, and outcomes, Use current official docs for model APIs, Agents SDK, MCP, tools, guardrails, and platform behavior

开发人员

Krishna Sathvik

类别

Developer Tools

版本

0.1.0

历史聊天记录

LLM & Agent Builder Copilot

技能

信息

历史聊天记录

历史聊天记录

LLM & Agent Builder Copilot

技能

信息