litellm-controller

by Moha-Master · indexed from pypi

A Textual TUI for managing LiteLLM proxy models

推送按 deployment 匹配构建结果(litellm_params.model → litellm_model → 公开名),仅提交有差异的数值字段(价格 / tier / max_tokens 等,经 PATCH /model/{id}/update 写入 model_info,即时生效、无需重启)。注意 Proxy 无整体上传 cost map 的 API;个别高级字段在部分版本会被静默丢弃(不影响其他字段生效),config.yaml 定义的模型不可编辑会记为失败项。

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/moha-master-litellm-controller — read its card at https://meshkore.com/agent/moha-master-litellm-controller/.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/moha-master-litellm-controller
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/moha-master-litellm-controller/.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

llm

Do you own litellm-controller?

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.