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feat: ship the AI assistant as a first-party in-process plugin
Moves src/backend/ai and its routes into plugins/ai, mounted through a small /ai dispatcher instead of its own port. Moves the ai-enabled and ai-private-endpoints settings routes out of user-settings-routes.ts into the plugin too, so it has no leftover core dependents.
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@@ -0,0 +1,131 @@
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import { assertOk, joinUrl, providerFetch, readJsonLines } from "./http.js";
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import type {
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ChatChunk,
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ChatRequest,
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ProviderAdapter,
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ProviderConfig,
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} from "./types.js";
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export const OLLAMA_DEFAULT_BASE = "http://localhost:11434";
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function baseFor(config: ProviderConfig): string {
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return config.baseUrl?.trim() || OLLAMA_DEFAULT_BASE;
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}
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function toOllamaMessages(request: ChatRequest): unknown[] {
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const messages: unknown[] = [{ role: "system", content: request.system }];
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for (const message of request.messages) {
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if (message.role === "tool") {
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messages.push({
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role: "tool",
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content: message.content,
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...(message.toolName ? { tool_name: message.toolName } : {}),
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});
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continue;
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}
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if (message.role === "assistant" && message.toolCalls?.length) {
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messages.push({
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role: "assistant",
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content: message.content,
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tool_calls: message.toolCalls.map((call) => ({
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function: { name: call.name, arguments: call.arguments },
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})),
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});
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continue;
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}
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messages.push({ role: message.role, content: message.content });
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}
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return messages;
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}
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export const ollamaAdapter: ProviderAdapter = {
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async *streamChat(
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config: ProviderConfig,
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request: ChatRequest,
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): AsyncIterable<ChatChunk> {
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const response = await providerFetch(joinUrl(baseFor(config), "api/chat"), {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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signal: request.signal,
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body: JSON.stringify({
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model: request.model,
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messages: toOllamaMessages(request),
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stream: true,
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...(request.tools.length
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? {
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tools: request.tools.map((tool) => ({
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type: "function",
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function: {
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name: tool.name,
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description: tool.description,
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parameters: tool.parameters,
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},
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})),
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}
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: {}),
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}),
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});
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await assertOk(response, "Ollama");
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let index = 0;
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let stopReason: string | undefined;
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// Ollama streams newline-delimited JSON rather than SSE.
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for await (const frame of readJsonLines(response)) {
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const payload = frame as any;
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if (
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typeof payload.message?.content === "string" &&
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payload.message.content
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) {
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yield { type: "text", text: payload.message.content };
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}
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for (const call of payload.message?.tool_calls ?? []) {
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const name = call.function?.name;
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if (!name) continue;
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const rawArgs = call.function?.arguments;
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// Ollama sends an object, but some builds send a JSON string.
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let args: Record<string, unknown> = {};
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if (rawArgs && typeof rawArgs === "object") {
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args = rawArgs as Record<string, unknown>;
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} else if (typeof rawArgs === "string" && rawArgs.trim()) {
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try {
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args = JSON.parse(rawArgs);
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} catch {
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args = {};
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}
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}
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yield {
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type: "tool_call",
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call: { id: `call_${name}_${index++}`, name, arguments: args },
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};
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}
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if (payload.done) {
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stopReason = payload.done_reason ?? "stop";
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break;
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}
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}
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yield { type: "done", stopReason };
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},
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async listModels(config: ProviderConfig): Promise<string[]> {
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const response = await providerFetch(joinUrl(baseFor(config), "api/tags"), {
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method: "GET",
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});
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await assertOk(response, "Ollama");
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const body: any = await response.json();
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return (body.models ?? [])
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.map((entry: any) => entry.name)
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.filter((name: unknown): name is string => typeof name === "string")
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.sort();
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},
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};
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