Persist Ollama chat history across navigation
This commit is contained in:
Hermes Agent
@@ -13,7 +13,7 @@ Native-like Hermes dashboard plugin for local Ollama model management and chat.
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- View Ollama's loaded-model memory split: total, GPU VRAM, and normal RAM/offload
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- View NVIDIA GPU telemetry when `nvidia-smi` is available
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The chat UI polls runtime memory once per second and keeps a short in-browser history for the current page session.
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The chat transcript and selected model are persisted in this browser, so navigating away from the plugin or reloading the dashboard does not clear the conversation. Use **Clear chat** to remove the saved transcript. Uploaded files remain temporary and are not stored in browser persistence.
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## Security limits
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Vendored
+36
-5
@@ -7,6 +7,26 @@
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var h = React.createElement;
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var fetchJSON = SDK.fetchJSON;
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var API = "/api/plugins/ollama-manager";
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var CHAT_STORAGE_KEY = "hermes.ollama-manager.chat.v1";
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function readSavedChat() {
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try {
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var raw = window.localStorage.getItem(CHAT_STORAGE_KEY);
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if (!raw) return { model: "", history: [] };
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var value = JSON.parse(raw);
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return {
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model: typeof value.model === "string" ? value.model : "",
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history: Array.isArray(value.history) ? value.history.filter(function (item) { return item && (item.role === "user" || item.role === "assistant") && typeof item.content === "string"; }).slice(-100) : []
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};
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} catch (_) {
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return { model: "", history: [] };
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}
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}
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function saveChat(model, history) {
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try {
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window.localStorage.setItem(CHAT_STORAGE_KEY, JSON.stringify({ model: model || "", history: history.slice(-100) }));
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} catch (_) {}
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}
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function fmtBytes(bytes) {
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if (bytes === null || bytes === undefined || Number(bytes) === 0) return "0 B";
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@@ -19,7 +39,11 @@
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try { return new Date(value * 1000 || value).toLocaleString(); } catch (_) { return value; }
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}
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function Badge(props) { return h("span", { className: "ollama-badge " + (props.tone || "") }, props.children); }
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function Button(props) { return h("button", Object.assign({ className: "ollama-button" }, props), props.children); }
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function Button(props) {
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var buttonProps = Object.assign({}, props);
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buttonProps.className = "ollama-button" + (props.className ? " " + props.className : "");
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return h("button", buttonProps, props.children);
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}
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function Empty(props) { return h("div", { className: "ollama-empty" }, props.children); }
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function CapabilityList(props) {
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@@ -113,17 +137,24 @@
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function ChatPanel(props) {
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var models = props.models || [];
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var modelState = React.useState(models[0] ? models[0].name : ""), model = modelState[0], setModel = modelState[1];
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var savedChatState = React.useState(function () { return readSavedChat(); })[0];
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var modelState = React.useState(savedChatState.model || (models[0] ? models[0].name : "")), model = modelState[0], setModel = modelState[1];
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var messageState = React.useState(""), message = messageState[0], setMessage = messageState[1];
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var urlState = React.useState(""), url = urlState[0], setUrl = urlState[1];
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var attachState = React.useState([]), attachments = attachState[0], setAttachments = attachState[1];
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var historyState = React.useState([]), history = historyState[0], setHistory = historyState[1];
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var historyState = React.useState(savedChatState.history), history = historyState[0], setHistory = historyState[1];
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var runtimeState = React.useState(null), runtime = runtimeState[0], setRuntime = runtimeState[1];
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var samplesState = React.useState([]), samples = samplesState[0], setSamples = samplesState[1];
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var busyState = React.useState(""), busy = busyState[0], setBusy = busyState[1];
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var noticeState = React.useState(null), notice = noticeState[0], setNotice = noticeState[1];
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React.useEffect(function () { if (!model && models[0]) setModel(models[0].name); }, [models, model]);
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React.useEffect(function () { saveChat(model, history); }, [model, history]);
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function clearChat() {
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setHistory([]);
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try { window.localStorage.removeItem(CHAT_STORAGE_KEY); } catch (_) {}
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setNotice({ ok: "Chat history cleared from this browser." });
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}
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function pollRuntime() { fetchJSON(API + "/runtime").then(function (value) { setRuntime(value); setSamples(function (old) { return old.concat([{ used: Number(value.memory_used_bytes || 0), total: Number(value.memory_total_bytes || 0) }]).slice(-60); }); }).catch(function () {}); }
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React.useEffect(function () { pollRuntime(); var timer = setInterval(pollRuntime, 1000); return function () { clearInterval(timer); }; }, []);
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@@ -141,7 +172,7 @@
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fetchJSON(API + "/chat", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(body) }).then(function (result) { var answer = result.message && result.message.content ? result.message.content : "(No response text returned.)"; setHistory(function (old) { return old.concat([{ role: "assistant", content: answer }]); }); setAttachments([]); setRuntime(result.runtime || runtime); setNotice({ ok: "Response complete. Live placement is shown below." }); pollRuntime(); }).catch(function (err) { setNotice({ error: err.message || String(err) }); }).finally(function () { setBusy(""); });
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}
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return h("section", { className: "ollama-chat" },
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h("div", { className: "ollama-chat-header" }, h("div", null, h("div", { className: "ollama-eyebrow" }, "LOCAL OLLAMA CHAT"), h("h2", null, "Chat with your selected model"), h("p", null, "Images are sent as Ollama vision inputs; PDFs and web pages are extracted as untrusted document text.")), h("div", { className: "ollama-chat-model" }, h("label", null, "Model", h("select", { value: model, onChange: function (event) { setModel(event.target.value); } }, models.map(function (item) { return h("option", { key: item.name, value: item.name }, item.name + (item.loaded ? " · loaded" : "")); }))), h(Button, { disabled: !model || busy === "load", onClick: loadModel }, busy === "load" ? "Loading…" : "Load model"))),
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h("div", { className: "ollama-chat-header" }, h("div", null, h("div", { className: "ollama-eyebrow" }, "LOCAL OLLAMA CHAT"), h("h2", null, "Chat with your selected model"), h("p", null, "Images are sent as Ollama vision inputs; PDFs and web pages are extracted as untrusted document text.")), h("div", { className: "ollama-chat-model" }, h("label", null, "Model", h("select", { value: model, onChange: function (event) { setModel(event.target.value); } }, models.map(function (item) { return h("option", { key: item.name, value: item.name }, item.name + (item.loaded ? " · loaded" : "")); }))), h(Button, { disabled: !model || busy === "load", onClick: loadModel }, busy === "load" ? "Loading…" : "Load model"), h(Button, { className: "secondary", disabled: !history.length || busy === "send", onClick: clearChat }, "Clear chat"))),
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notice && h("div", { className: "ollama-notice " + (notice.error ? "error" : "ok") }, notice.error || notice.ok),
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h(RuntimePanel, { runtime: runtime, samples: samples }),
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h("div", { className: "ollama-chat-layout" },
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@@ -170,7 +201,7 @@
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var jobs = data && data.jobs ? data.jobs.filter(function (job) { return job.state === "running"; }) : [];
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return h("main", { className: "ollama-page" }, h("header", { className: "ollama-hero" }, h("div", null, h("div", { className: "ollama-eyebrow" }, "LOCAL MODEL OPERATIONS"), h("h1", null, "Ollama Models"), h("p", null, "Inspect, chat with, download, update, and remove models from the local Ollama runtime.")), h("div", { className: "ollama-health" }, h(Badge, { tone: data && data.ollama && data.ollama.available ? "live" : "danger" }, data && data.ollama && data.ollama.available ? "Ollama online" : "Ollama unavailable"), data && data.ollama && h("span", null, "v" + (data.ollama.version || "unknown")), h(Button, { disabled: busy === "catalog", onClick: refreshCatalog }, busy === "catalog" ? "Refreshing…" : "Refresh catalog"))),
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notice && h("div", { className: "ollama-notice " + (notice.error ? "error" : "ok") }, notice.error || notice.ok),
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h("section", { className: "ollama-toolbar" }, h("div", { className: "ollama-tabs" }, h(Button, { className: tab === "chat" ? "selected" : "", onClick: function () { setTab("chat"); } }, "Chat"), h(Button, { className: tab === "installed" ? "selected" : "", onClick: function () { setTab("installed"); } }, "Installed (" + ((data && data.models) || []).length + ")"), h(Button, { className: tab === "popular" ? "selected" : "", onClick: function () { setTab("popular"); } }, "Top 20 popular (" + ((data && data.popular) || []).length + ")"), h(Button, { className: tab === "catalog" ? "selected" : "", onClick: function () { setTab("catalog"); } }, "Available downloads (" + ((data && data.catalog) || []).length + ")")), tab !== "chat" && h("input", { className: "ollama-search", value: query, placeholder: "Search models, capabilities, or strengths…", onChange: function (event) { setQuery(event.target.value); } })),
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h("section", { className: "ollama-toolbar" }, h("div", { className: "ollama-tabs" }, h(Button, { className: tab === "chat" ? "selected" : "", onClick: function () { setTab("chat"); } }, "Ollama Chat"), h(Button, { className: tab === "installed" ? "selected" : "", onClick: function () { setTab("installed"); } }, "Installed (" + ((data && data.models) || []).length + ")"), h(Button, { className: tab === "popular" ? "selected" : "", onClick: function () { setTab("popular"); } }, "Top 20 popular (" + ((data && data.popular) || []).length + ")"), h(Button, { className: tab === "catalog" ? "selected" : "", onClick: function () { setTab("catalog"); } }, "Available downloads (" + ((data && data.catalog) || []).length + ")")), tab !== "chat" && h("input", { className: "ollama-search", value: query, placeholder: "Search models, capabilities, or strengths…", onChange: function (event) { setQuery(event.target.value); } })),
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tab !== "chat" && h("div", { className: "ollama-info-strip" }, h("span", null, data && data.models ? data.models.filter(function (m) { return m.loaded; }).length + " currently loaded" : "Loading runtime state…"), h("span", null, "Catalog checked " + (data && data.catalog_updated_at ? fmtDate(data.catalog_updated_at) : "not yet")), h("span", null, "Next daily check " + (data && data.next_catalog_refresh ? fmtDate(data.next_catalog_refresh) : "01:00 Melbourne time") + " (1:00 AM Melbourne time)")),
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tab === "chat" && h(ChatPanel, { models: data && data.models ? data.models : [] }),
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tab === "popular" && h("p", { className: "ollama-popular-note" }, "Popular is limited to models with known size and RAM estimates at or below 30 GiB. Oversized families are represented by a smaller fitting variant when available."), jobs.length > 0 && h("section", { className: "ollama-jobs" }, jobs.map(function (job) { return h("div", { key: job.id }, h("strong", null, job.action + " · " + job.name), h("span", null, job.percent == null ? job.status : job.percent + "%")); })),
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@@ -3,7 +3,7 @@
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"label": "Ollama Models",
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"description": "Inspect, manage, and chat with local Ollama models, including images, PDFs, URLs, and live memory telemetry.",
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"icon": "Cpu",
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"version": "1.3.1",
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"version": "1.3.2",
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"tab": {"path": "/ollama-manager", "position": "after:models"},
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"entry": "dist/index.js",
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"css": "dist/style.css",
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+1
-1
@@ -1,5 +1,5 @@
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name: ollama-manager
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version: 1.3.1
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version: 1.3.2
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description: Native dashboard manager and chat interface for local Ollama models, attachments, URLs, and live runtime telemetry.
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python_dependencies:
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- "pypdf>=6.0,<7.0"
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