3 Commits

Include renames

Author	SHA1	Message	Date
grabowski	36f7a9f440	agent window: plain message when the endpoint wants a key ... A 401/403 with an HTML error page (nginx) showed as "HTTP 401: 401 Authorization Required 401 Authorization Required nginx". Now: "The endpoint wants an API key: enter it in ⚙" before one is set, "The endpoint refused the API key (...)" after.	2026-10-23 19:57:29 +07:00
grabowski	41554801ea	agent window: a site's relay stands in for the endpoint it relays ... On isokit.buildfor.life, entering https://inference.p0.contact/v1 in the agent window's settings made the page call the inference server directly, which browsers refuse (its nginx answers the CORS preflight with 401): "The browser could not reach ... (Failed to fetch)". - the relay meta names its upstream (data-upstream; build_web.py --agent-upstream, the deploy passes the inference server): that URL now goes through the relay and is saved as "follow the site's default" - an unreachable endpoint says what to do: the relay's URL on a site with one, else isokit studio or isokit.buildfor.life - check_web.py: relayed upstream and the unreachable message	2026-10-23 19:51:29 +07:00
grabowski	1a1b62d475	studio: agent window, a chat with a model that edits the scene ... ✦ Agent in the Studio's top bar opens a floating chat window. The model (any OpenAI-compatible endpoint with tool calling; default B4L's inference server, https://inference.p0.contact/v1) gets the 15 MCP tools plus two page tools (select_object, set_view) and the Studio's state (selection, level, rotation) in its system prompt. Answers and reasoning stream in; tool calls show as rows with arguments and results; object ids link to the object; Stop ends a turn; Undo takes the agent's edits back. The window moves by its title bar and resizes at its top-left corner. - studio/agent.js: shared by both front ends (waits for studio.js's isokit:studio event); MCP over /mcp or isokit.mcp in the web Studio - isokit studio: /api/agent/{config,models,chat} relay the calls on their own threads (ureq, chunked and flushed per read), so the key stays on the machine and the endpoint needs no CORS; settings from ISOKIT_LLM_URL / _KEY / _MODEL or agent.json in the user's config folder - web Studio: calls the endpoint from the page with a key kept in the browser; build_web.py --agent-url names a same-site relay as default; the deploy builds with /llm/v1, which deploy/Caddyfile forwards to the inference server (its nginx refuses the CORS preflight) - tools/mock_llm.py + tools/agent_checks.py: the agent window checks in both check_studio.py and check_web.py	2026-10-23 19:35:53 +07:00