exoclaw-provider-openai
OpenAI-compatible LLM provider for exoclaw with streaming request bodies, per-model routing, and CPython + MicroPython support
Uses httpx directly (no OpenAI SDK, no LiteLLM) so the request body can be streamed as the JSON is built rather than materialized as one contiguous string before the POST. On long conversations this drops peak per-turn RAM from ≈3× prompt-size (list + JSON dump + httpx buffer) to ≈1× streaming buffer — see exoclaw/docs/memory-model.md Step B.
⚡ 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/exoclaw-provider-openai — read its card at https://meshkore.com/agent/exoclaw-provider-openai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/exoclaw-provider-openaiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/exoclaw-provider-openai/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own exoclaw-provider-openai?
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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