Files
next-ai-draw-io/lib/chat-request.ts
T
dayuan.jiang 23d5c83b0d feat(ui): canvas-first redesign with a self-hosted draw.io
The canvas now fills the window and the chat floats on its right. draw.io is
served from our own origin (public/drawio, downloaded at build time and
checked against the release's SHA-256), so the app can drive the editor
directly:

- every AI change becomes a version card with a thumbnail; compare, restore
  or undo it, and Ctrl+Z on the canvas takes an AI change back in one step
- shapes the AI just changed are highlighted on the canvas
- selected shapes appear as a chip and are sent to the model
- the app's own canvas toolbar, shape library and page tabs replace
  draw.io's chrome
- new start screen, session rename and switcher, open .drawio files
- settings split into Models & keys, Appearance, Advanced and About
- phones switch between canvas and chat
- dark mode keeps the diagram on a white sheet and no longer flashes

With an external draw.io (NEXT_PUBLIC_DRAWIO_BASE_URL) the app falls back to
draw.io's own toolbar and the features above that need same origin are off.

The chat logic moved from the 1500-line chat panel into a chat engine plus
small UI components; zustand holds canvas, versions, settings and UI state.
2026-10-06 16:17:11 +09:00

38 lines
1.5 KiB
TypeScript

import type { getSelectedAIConfig } from "@/hooks/use-model-config"
type AIConfig = ReturnType<typeof getSelectedAIConfig>
/**
* Request headers for /api/chat: the access code, the user's own provider
* credentials (when a client-side model is selected) and per-request options.
*/
export function buildChatHeaders(
config: AIConfig,
options: { minimalStyle: boolean; maxOutputTokens: string },
): Record<string, string> {
const headers: Record<string, string> = {
"x-access-code": config.accessCode,
}
const set = (name: string, value: string | undefined) => {
if (value) headers[name] = value
}
if (config.aiProvider) {
set("x-ai-provider", config.aiProvider)
set("x-ai-base-url", config.aiBaseUrl)
set("x-ai-api-key", config.aiApiKey)
set("x-ai-model", config.aiModel)
// AWS Bedrock credentials
set("x-aws-access-key-id", config.awsAccessKeyId)
set("x-aws-secret-access-key", config.awsSecretAccessKey)
set("x-aws-region", config.awsRegion)
set("x-aws-session-token", config.awsSessionToken)
// Vertex AI credentials (Express Mode)
set("x-vertex-api-key", config.vertexApiKey)
}
// Selected model ID for server model lookup (apiKeyEnv/baseUrlEnv)
set("x-selected-model-id", config.selectedModelId)
if (options.minimalStyle) headers["x-minimal-style"] = "true"
set("x-max-output-tokens", options.maxOutputTokens)
return headers
}