Stream model pull progress via SSE instead of fire-and-forget
Replace the asyncio.create_task() fire-and-forget pattern for model downloads with SSE streaming that relays Ollama's pull progress in real time. The frontend now shows live download percentage instead of a static "Pulling..." label with blind polling. - routes/chat.py: SSE streaming endpoint with 1800s timeout - stores/settings.ts: pullModel uses apiStreamPost with onProgress callback - SettingsView.vue: live "Downloading 42%" display, removed polling/setTimeout - summary.md: updated to reflect SSE streaming for model pulls Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -1,6 +1,6 @@
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import { ref, computed } from "vue";
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import { defineStore } from "pinia";
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import { apiGet, apiPut, apiPost } from "@/api/client";
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import { apiGet, apiPut, apiPost, apiStreamPost } from "@/api/client";
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import type { AppSettings } from "@/types/settings";
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export const useSettingsStore = defineStore("settings", () => {
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@@ -45,8 +45,13 @@ export const useSettingsStore = defineStore("settings", () => {
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}
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}
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async function pullModel(model: string) {
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await apiPost("/api/chat/models/pull", { model });
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async function pullModel(
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model: string,
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onProgress?: (data: Record<string, unknown>) => void,
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) {
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await apiStreamPost("/api/chat/models/pull", { model }, (data) => {
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if (onProgress) onProgress(data);
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});
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}
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async function deleteModel(model: string) {
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@@ -7,7 +7,7 @@ const store = useSettingsStore();
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const assistantName = ref("");
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const saving = ref(false);
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const saved = ref(false);
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const pulling = ref<string | null>(null);
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const pullProgress = ref<{ model: string; percent: number } | null>(null);
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const deleting = ref<string | null>(null);
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const confirmDelete = ref<string | null>(null);
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@@ -34,13 +34,6 @@ const MODEL_CATALOG: ModelInfo[] = [
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bestFor: "Fast responses, general tasks",
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category: "General Purpose",
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},
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{
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name: "gemma2",
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description: "Google's Gemma 2 9B — well-rounded model strong in reasoning and conversation.",
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size: "5.4 GB",
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bestFor: "Conversation, reasoning, summarization",
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category: "General Purpose",
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},
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{
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name: "qwen2.5",
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description: "Alibaba's Qwen 2.5 7B — multilingual model with strong coding and math skills.",
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@@ -171,8 +164,9 @@ function modelsInCategory(category: string) {
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function isActiveModel(name: string): boolean {
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const current = selectedModel.value || store.defaultModel;
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if (!current) return false;
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const clean = current.replace(/:latest$/, "");
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return clean === name || clean === name.replace(/:.*$/, "");
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const cleanCurrent = current.replace(/:latest$/, "");
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const cleanName = name.replace(/:latest$/, "");
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return cleanCurrent === cleanName;
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}
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onMounted(async () => {
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@@ -205,27 +199,27 @@ async function selectModel(name: string) {
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}
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async function pullModel(name: string) {
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pulling.value = name;
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pullProgress.value = { model: name, percent: 0 };
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try {
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await store.pullModel(name);
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// Poll for completion
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const poll = setInterval(async () => {
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await store.fetchInstalledModels();
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const installed = new Set(
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store.installedModels.map((m) => m.replace(/:latest$/, ""))
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);
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if (installed.has(name) || installed.has(name.replace(/:.*$/, ""))) {
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clearInterval(poll);
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pulling.value = null;
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await store.pullModel(name, (data) => {
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if (data.error) {
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pullProgress.value = null;
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return;
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}
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}, 5000);
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// Stop polling after 10 minutes max
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setTimeout(() => {
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clearInterval(poll);
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if (pulling.value === name) pulling.value = null;
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}, 600_000);
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const completed = data.completed as number | undefined;
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const total = data.total as number | undefined;
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if (completed != null && total && total > 0) {
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pullProgress.value = {
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model: name,
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percent: Math.round((completed / total) * 100),
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};
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}
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});
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await store.fetchInstalledModels();
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} catch {
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pulling.value = null;
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// error already handled
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} finally {
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pullProgress.value = null;
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}
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}
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@@ -342,9 +336,9 @@ function cancelDelete() {
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v-else
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class="btn-pull"
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@click="pullModel(model.name)"
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:disabled="pulling !== null"
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:disabled="pullProgress !== null"
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>
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{{ pulling === model.name ? "Pulling..." : "Download" }}
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{{ pullProgress?.model === model.name ? `Downloading ${pullProgress.percent}%` : "Download" }}
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</button>
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</div>
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</div>
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@@ -15,7 +15,7 @@ from fabledassistant.services.chat import (
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summarize_conversation_as_note,
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update_conversation_title,
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)
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from fabledassistant.services.llm import build_context, ensure_model, stream_chat
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from fabledassistant.services.llm import build_context, stream_chat
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from fabledassistant.services.settings import get_setting
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logger = logging.getLogger(__name__)
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@@ -201,15 +201,40 @@ async def list_models_route():
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@chat_bp.route("/models/pull", methods=["POST"])
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async def pull_model_route():
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"""Pull a model from Ollama. Runs in the background."""
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"""Pull a model from Ollama, streaming progress via SSE."""
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data = await request.get_json()
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model_name = data.get("model", "").strip()
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if not model_name:
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return jsonify({"error": "model is required"}), 400
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import asyncio
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asyncio.create_task(ensure_model(model_name))
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return jsonify({"status": "pulling", "model": model_name}), 202
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async def generate():
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try:
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async with httpx.AsyncClient(timeout=1800.0) as client:
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async with client.stream(
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"POST",
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f"{Config.OLLAMA_URL}/api/pull",
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json={"name": model_name},
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) as resp:
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resp.raise_for_status()
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async for line in resp.aiter_lines():
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if not line.strip():
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continue
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progress = json.loads(line)
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event_data = json.dumps(progress)
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yield f"data: {event_data}\n\n"
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yield f"data: {json.dumps({'status': 'success'})}\n\n"
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except Exception as e:
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logger.exception("Error pulling model %s", model_name)
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yield f"data: {json.dumps({'error': str(e)})}\n\n"
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return Response(
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generate(),
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content_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"X-Accel-Buffering": "no",
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},
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)
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@chat_bp.route("/models/delete", methods=["POST"])
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+8
-7
@@ -66,9 +66,10 @@ for AI-assisted features.
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simple word splitting with stopword filtering (no embeddings).
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- **No blocking long-running operations:** Any potentially slow operation (model
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pulls, LLM calls, URL fetching, etc.) must never block app startup or freeze the
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UI. Backend uses `asyncio.create_task()` for fire-and-forget work and SSE streaming
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for incremental responses. Frontend keeps the UI responsive during async operations
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(loading states, streaming indicators). This applies to all future features as well.
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UI. Backend uses SSE streaming for incremental responses (chat messages and model
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pull progress). Frontend keeps the UI responsive during async operations (loading
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states, streaming indicators, progress percentages). This applies to all future
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features as well.
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- **Auto-pull model on startup:** Non-blocking background task, logs warning on
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failure so the app still starts even if Ollama isn't ready.
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- **Backlinks:** `GET /api/notes/:id/backlinks` searches all note bodies for
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@@ -209,7 +210,7 @@ fabledassistant/
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│ │ ├── notes.ts # CRUD + tag filter, resolveTitle, convertToTask, convertToNote, fetchBacklinks, fetchAllTags
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│ │ ├── tasks.ts # CRUD + status/priority filter, patchStatus (uses body not description)
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│ │ ├── chat.ts # Conversation CRUD, sendMessage (SSE streaming), saveMessageAsNote, summarizeAsNote, fetchModels, status polling (ollamaStatus, modelStatus, chatReady)
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│ │ ├── settings.ts # App settings: assistantName, defaultModel, fetchInstalledModels, pullModel, deleteModel
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│ │ ├── settings.ts # App settings: assistantName, defaultModel, fetchInstalledModels, pullModel (SSE streaming with onProgress callback), deleteModel
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│ │ └── toast.ts # Toast notification state, 3s auto-dismiss
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│ ├── types/
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│ │ ├── note.ts # Note interface (with status, priority, due_date, is_task) + TaskStatus, TaskPriority types + NoteListResponse
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@@ -279,7 +280,7 @@ fabledassistant/
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| POST | `/api/chat/conversations/:id/summarize` | Summarize conversation via LLM, save as note |
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| GET | `/api/chat/status` | Check Ollama availability and model readiness (`{ollama, model, default_model}`) |
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| GET | `/api/chat/models` | List available Ollama models |
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| POST | `/api/chat/models/pull` | Pull/download a model from Ollama (background, body: `{model}`) |
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| POST | `/api/chat/models/pull` | Pull/download a model from Ollama via SSE streaming progress (body: `{model}`, response: SSE with `{status, completed, total}` events) |
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| POST | `/api/chat/models/delete` | Delete a model from Ollama (body: `{model}`) |
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| GET | `/api/settings` | Get all app settings as `{key: value}` dict |
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| PUT | `/api/settings` | Update settings (body: `{key: value, ...}`) |
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@@ -441,7 +442,7 @@ When adding a new migration, follow these conventions:
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- [x] **Configurable assistant name:** Default "Fable", editable in settings, injected into LLM system prompt and chat message labels
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- [x] **Settings page:** `/settings` route with assistant name form + model catalog
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- [x] **Model catalog:** 18 models across 3 categories (General Purpose, Coding, Uncensored / Creative Writing) with descriptions, sizes, and best-for labels
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- [x] **Model management:** Download (pull), select (set as default), and remove (delete from Ollama) with confirmation UI
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- [x] **Model management:** Download (pull with SSE progress streaming + live percentage in UI), select (set as default), and remove (delete from Ollama) with confirmation UI
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- [x] **Status indicator in nav bar:** Moved from per-component (ChatView/ChatPanel) to global AppHeader; green/yellow/red dot with label
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- [x] **Chat bubble layout:** User messages right-aligned (primary color bg), assistant messages left-aligned (card bg), speech bubble tails
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- [x] **Floating dark input bar:** `#1c1c1e` background, rounded corners, circular send button with arrow
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@@ -485,7 +486,7 @@ When adding a new migration, follow these conventions:
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- Dedicated `/chat` page with bubble-style messages (user right, assistant left), floating dark input bar
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- Slide-out chat panel accessible from any page, auto-includes note/task context
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- Settings page: configurable assistant name (default "Fable"), model catalog with 18 models in 3 categories
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- Model management: download, select, and remove models from the settings page
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- Model management: download (with live SSE progress percentage), select, and remove models from the settings page
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- Ollama status indicator in global nav bar (green/yellow/red dot) with 30s polling
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- Recent chats section on home page with quick "New Chat" button
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- HTML entity rendering fix (apostrophes in marked → DOMPurify pipeline)
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