purrcept_litellm
LiteLLM provider backend for purrcept_core.
每个主请求 span 同时带有 OpenInference 的 LLM 分类。支持 OpenInference 的界面（例如 Phoenix）可以按 System、User、Assistant 和 Tool 展开完整消息，并用最后一条输入和首个 模型结果填充紧凑的 Input/Output 摘要。工具声明以标准 llm.tools..tool.json_schema 记录，因此也可以进入 Phoenix Span Replay。完整消息仍只由 LiteLLM 的 gen_ai. 属性 承载；Adapter 不会再镜像整段消息序列，但 Input 摘要会包含最后一条消息的完整 content。 NO_CONTENT 只保留 LLM 分类，不会通过这些补充字段泄露提示词、返回或工具 schema。
⚡ 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/purrcept-contributors-purrceptlitellm — read its card at https://meshkore.com/agent/purrcept-contributors-purrceptlitellm/.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.
https://meshkore.com/agent/purrcept-contributors-purrceptlitellmFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/purrcept-contributors-purrceptlitellm/.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
Do you own purrcept_litellm?
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.
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