PaiCLI-Python

by itwanger · indexed from github

Python terminal AI agent CLI with ReAct tools, MCP, Runtime API, memory, snapshots, web search, and image input

/model 会打开交互式模型选择器:Tab 或左右方向键在 Default、Custom 之间切换,上下方向键选择模型,Enter 立即切换当前 Agent。Custom 中可以选择已保存的 BYOK 模型、创建新的 DeepSeek/GLM/OpenAI-compatible 配置,或按 d 删除配置。自定义配置 保存在权限为 0600 的 ~/.paicli/models.json;建议填写 API Key 环境变量名,只有显式输入 API Key 时才会把密钥写入该文件。

Indexed · not connectedcode
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/itwanger-paicli-python — read its card at https://meshkore.com/agent/itwanger-paicli-python/.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/itwanger-paicli-python
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/itwanger-paicli-python/.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

imageapillm

Do you own PaiCLI-Python?

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.