feat(dash): improved frontend dashboard (#6)
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Co-authored-by: Sharang Parnerkar <parnerkarsharang@gmail.com>
Reviewed-on: #6
This commit was merged in pull request #6.
This commit is contained in:
2026-02-19 11:52:41 +00:00
parent f699976f4d
commit a588be306a
46 changed files with 4960 additions and 261 deletions

221
src/pages/providers.rs Normal file
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use dioxus::prelude::*;
use crate::components::PageHeader;
use crate::models::{EmbeddingEntry, LlmProvider, ModelEntry, ProviderConfig};
/// Providers page for configuring LLM and embedding model backends.
///
/// Two-column layout: left side has a configuration form, right side
/// shows the currently active provider status.
#[component]
pub fn ProvidersPage() -> Element {
let mut selected_provider = use_signal(|| LlmProvider::Ollama);
let mut selected_model = use_signal(|| "llama3.1:8b".to_string());
let mut selected_embedding = use_signal(|| "nomic-embed-text".to_string());
let mut api_key = use_signal(String::new);
let mut saved = use_signal(|| false);
let models = mock_models();
let embeddings = mock_embeddings();
// Filter models/embeddings by selected provider
let provider_val = selected_provider.read().clone();
let available_models: Vec<_> = models
.iter()
.filter(|m| m.provider == provider_val)
.collect();
let available_embeddings: Vec<_> = embeddings
.iter()
.filter(|e| e.provider == provider_val)
.collect();
let active_config = ProviderConfig {
provider: provider_val.clone(),
selected_model: selected_model.read().clone(),
selected_embedding: selected_embedding.read().clone(),
api_key_set: !api_key.read().is_empty(),
};
rsx! {
section { class: "providers-page",
PageHeader {
title: "Providers".to_string(),
subtitle: "Configure your LLM and embedding backends".to_string(),
}
div { class: "providers-layout",
div { class: "providers-form",
div { class: "form-group",
label { "Provider" }
select {
class: "form-select",
value: "{provider_val.label()}",
onchange: move |evt: Event<FormData>| {
let val = evt.value();
let prov = match val.as_str() {
"Hugging Face" => LlmProvider::HuggingFace,
"OpenAI" => LlmProvider::OpenAi,
"Anthropic" => LlmProvider::Anthropic,
_ => LlmProvider::Ollama,
};
selected_provider.set(prov);
saved.set(false);
},
option { value: "Ollama", "Ollama" }
option { value: "Hugging Face", "Hugging Face" }
option { value: "OpenAI", "OpenAI" }
option { value: "Anthropic", "Anthropic" }
}
}
div { class: "form-group",
label { "Model" }
select {
class: "form-select",
value: "{selected_model}",
onchange: move |evt: Event<FormData>| {
selected_model.set(evt.value());
saved.set(false);
},
for m in &available_models {
option { value: "{m.id}", "{m.name} ({m.context_window}k ctx)" }
}
}
}
div { class: "form-group",
label { "Embedding Model" }
select {
class: "form-select",
value: "{selected_embedding}",
onchange: move |evt: Event<FormData>| {
selected_embedding.set(evt.value());
saved.set(false);
},
for e in &available_embeddings {
option { value: "{e.id}", "{e.name} ({e.dimensions}d)" }
}
}
}
div { class: "form-group",
label { "API Key" }
input {
class: "form-input",
r#type: "password",
placeholder: "Enter API key...",
value: "{api_key}",
oninput: move |evt: Event<FormData>| {
api_key.set(evt.value());
saved.set(false);
},
}
}
button {
class: "btn-primary",
onclick: move |_| saved.set(true),
"Save Configuration"
}
if *saved.read() {
p { class: "form-success", "Configuration saved." }
}
}
div { class: "providers-status",
h3 { "Active Configuration" }
div { class: "status-card",
div { class: "status-row",
span { class: "status-label", "Provider" }
span { class: "status-value", "{active_config.provider.label()}" }
}
div { class: "status-row",
span { class: "status-label", "Model" }
span { class: "status-value", "{active_config.selected_model}" }
}
div { class: "status-row",
span { class: "status-label", "Embedding" }
span { class: "status-value", "{active_config.selected_embedding}" }
}
div { class: "status-row",
span { class: "status-label", "API Key" }
span { class: "status-value",
if active_config.api_key_set {
"Set"
} else {
"Not set"
}
}
}
}
}
}
}
}
}
/// Returns mock model entries for all providers.
fn mock_models() -> Vec<ModelEntry> {
vec![
ModelEntry {
id: "llama3.1:8b".into(),
name: "Llama 3.1 8B".into(),
provider: LlmProvider::Ollama,
context_window: 128,
},
ModelEntry {
id: "llama3.1:70b".into(),
name: "Llama 3.1 70B".into(),
provider: LlmProvider::Ollama,
context_window: 128,
},
ModelEntry {
id: "mistral:7b".into(),
name: "Mistral 7B".into(),
provider: LlmProvider::Ollama,
context_window: 32,
},
ModelEntry {
id: "meta-llama/Llama-3.1-8B".into(),
name: "Llama 3.1 8B".into(),
provider: LlmProvider::HuggingFace,
context_window: 128,
},
ModelEntry {
id: "gpt-4o".into(),
name: "GPT-4o".into(),
provider: LlmProvider::OpenAi,
context_window: 128,
},
ModelEntry {
id: "claude-sonnet-4-6".into(),
name: "Claude Sonnet 4.6".into(),
provider: LlmProvider::Anthropic,
context_window: 200,
},
]
}
/// Returns mock embedding entries for all providers.
fn mock_embeddings() -> Vec<EmbeddingEntry> {
vec![
EmbeddingEntry {
id: "nomic-embed-text".into(),
name: "Nomic Embed Text".into(),
provider: LlmProvider::Ollama,
dimensions: 768,
},
EmbeddingEntry {
id: "sentence-transformers/all-MiniLM-L6-v2".into(),
name: "MiniLM-L6-v2".into(),
provider: LlmProvider::HuggingFace,
dimensions: 384,
},
EmbeddingEntry {
id: "text-embedding-3-small".into(),
name: "Embedding 3 Small".into(),
provider: LlmProvider::OpenAi,
dimensions: 1536,
},
EmbeddingEntry {
id: "voyage-3".into(),
name: "Voyage 3".into(),
provider: LlmProvider::Anthropic,
dimensions: 1024,
},
]
}