mirror of
https://github.com/open-jarvis/OpenJarvis.git
synced 2026-08-14 08:52:06 +00:00
Compare commits
4
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Elliot Slusky
|
a0187e40e6 | ||
|
Jon Saad-FalconandClaude Opus 4.8
|
d32f20f9b3 | ||
|
github-actions[bot]
|
0b552cbcb5 | ||
|
github-actions[bot]
|
19fd3c8d2b |
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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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}
|
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}
|
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|
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Generated
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@@ -3777,9 +3777,9 @@
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@@ -3794,9 +3794,9 @@
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|
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@@ -3811,13 +3811,16 @@
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@@ -3828,13 +3831,16 @@
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"license": "Apache-2.0 OR MIT",
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"optional": true,
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@@ -3845,13 +3851,16 @@
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"license": "Apache-2.0 OR MIT",
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"optional": true,
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"os": [
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@@ -3862,13 +3871,16 @@
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"license": "Apache-2.0 OR MIT",
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"optional": true,
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@@ -3879,13 +3891,16 @@
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@@ -3896,9 +3911,9 @@
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@@ -3913,9 +3928,9 @@
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|
||||
"@vitejs/plugin-react": "^4.3.4",
|
||||
|
||||
+211
-44
@@ -9,7 +9,7 @@ use tokio::sync::Mutex;
|
||||
const OLLAMA_PORT: u16 = 11434;
|
||||
const JARVIS_PORT: u16 = 8000;
|
||||
|
||||
/// Small, fast model pulled at startup so the app opens quickly.
|
||||
/// Small, fast model used when startup needs a default Ollama tag.
|
||||
const STARTUP_MODEL: &str = "qwen3.5:4b";
|
||||
|
||||
/// Tiny fallback model if even the startup model can't be pulled.
|
||||
@@ -104,7 +104,7 @@ fn default_local_model(ram_gb: f64) -> &'static str {
|
||||
struct BootPlan {
|
||||
/// Whether to start and wait for the bundled Ollama.
|
||||
launch_ollama: bool,
|
||||
/// The single Ollama model to pull (None for custom endpoints).
|
||||
/// The preferred Ollama model (None for custom endpoints).
|
||||
model_to_pull: Option<String>,
|
||||
/// Optional `(engine_key, bare_host)` override for a custom endpoint,
|
||||
/// e.g. `("lmstudio", "http://localhost:1234")`. Written into
|
||||
@@ -608,6 +608,69 @@ async fn wait_for_jarvis_health(
|
||||
}
|
||||
|
||||
async fn ollama_has_model(model: &str) -> bool {
|
||||
let models = ollama_model_names().await;
|
||||
matching_installed_model(&models, model).is_some()
|
||||
}
|
||||
|
||||
fn parse_ollama_model_names(body: &serde_json::Value) -> Vec<String> {
|
||||
body.get("models")
|
||||
.and_then(|m| m.as_array())
|
||||
.map(|models| {
|
||||
models
|
||||
.iter()
|
||||
.filter_map(|m| {
|
||||
m.get("name")
|
||||
.or_else(|| m.get("model"))
|
||||
.and_then(|n| n.as_str())
|
||||
})
|
||||
.filter(|name| !name.trim().is_empty())
|
||||
.map(|name| name.to_string())
|
||||
.collect()
|
||||
})
|
||||
.unwrap_or_default()
|
||||
}
|
||||
|
||||
fn model_names_match(installed: &str, requested: &str) -> bool {
|
||||
installed == requested
|
||||
|| installed.strip_suffix(":latest") == Some(requested)
|
||||
|| requested.strip_suffix(":latest") == Some(installed)
|
||||
}
|
||||
|
||||
fn matching_installed_model(models: &[String], requested: &str) -> Option<String> {
|
||||
models
|
||||
.iter()
|
||||
.find(|model| model_names_match(model, requested))
|
||||
.cloned()
|
||||
}
|
||||
|
||||
fn model_name_looks_embedding_only(model: &str) -> bool {
|
||||
let name = model.to_ascii_lowercase();
|
||||
["embed", "embedding", "rerank", "minilm", "bge-", "bge_", "e5-", "e5_"]
|
||||
.iter()
|
||||
.any(|marker| name.contains(marker))
|
||||
}
|
||||
|
||||
fn preferred_installed_model(models: &[String]) -> Option<String> {
|
||||
models
|
||||
.iter()
|
||||
.find(|model| !model.trim().is_empty() && !model_name_looks_embedding_only(model))
|
||||
.or_else(|| models.iter().find(|model| !model.trim().is_empty()))
|
||||
.cloned()
|
||||
}
|
||||
|
||||
fn startup_installed_model(requested_model: &str, installed_models: &[String]) -> Option<String> {
|
||||
matching_installed_model(installed_models, requested_model)
|
||||
.or_else(|| preferred_installed_model(installed_models))
|
||||
}
|
||||
|
||||
fn should_persist_resolved_model(cfg: &InferenceConfig) -> bool {
|
||||
cfg.model
|
||||
.as_deref()
|
||||
.map(|model| model.trim().is_empty())
|
||||
.unwrap_or(true)
|
||||
}
|
||||
|
||||
async fn ollama_model_names() -> Vec<String> {
|
||||
let url = format!("http://127.0.0.1:{}/api/tags", OLLAMA_PORT);
|
||||
let client = reqwest::Client::builder()
|
||||
.timeout(Duration::from_secs(5))
|
||||
@@ -615,21 +678,10 @@ async fn ollama_has_model(model: &str) -> bool {
|
||||
.unwrap();
|
||||
if let Ok(resp) = client.get(&url).send().await {
|
||||
if let Ok(body) = resp.json::<serde_json::Value>().await {
|
||||
if let Some(models) = body.get("models").and_then(|m| m.as_array()) {
|
||||
return models.iter().any(|m| {
|
||||
m.get("name")
|
||||
.and_then(|n| n.as_str())
|
||||
.map(|n| {
|
||||
n == model
|
||||
|| n.strip_suffix(":latest") == Some(model)
|
||||
|| model.strip_suffix(":latest") == Some(n)
|
||||
})
|
||||
.unwrap_or(false)
|
||||
});
|
||||
}
|
||||
return parse_ollama_model_names(&body);
|
||||
}
|
||||
}
|
||||
false
|
||||
Vec::new()
|
||||
}
|
||||
|
||||
async fn pull_model(model: &str) -> Result<(), String> {
|
||||
@@ -751,7 +803,7 @@ async fn boot_backend(backend: SharedBackend, status: SharedStatus) {
|
||||
.into();
|
||||
}
|
||||
|
||||
// For the Ollama path, the model pull may fall back to FALLBACK_MODEL; we
|
||||
// For the Ollama path, model resolution may fall back to FALLBACK_MODEL; we
|
||||
// record what is actually available here so the serve command below uses
|
||||
// it instead of the originally-planned tag. None on the custom path.
|
||||
let mut serve_model_override: Option<String> = None;
|
||||
@@ -798,8 +850,8 @@ async fn boot_backend(backend: SharedBackend, status: SharedStatus) {
|
||||
s.detail = "Inference engine ready.".into();
|
||||
}
|
||||
|
||||
// Phase 2: Pull the single default model (see default_local_model /
|
||||
// boot_plan). We deliberately do NOT pull any others.
|
||||
// Phase 2: Resolve one model to serve. Prefer an installed model on
|
||||
// first run so startup does not depend on a download succeeding.
|
||||
let model = plan
|
||||
.model_to_pull
|
||||
.clone()
|
||||
@@ -810,41 +862,63 @@ async fn boot_backend(backend: SharedBackend, status: SharedStatus) {
|
||||
s.detail = format!("Checking for {}...", model);
|
||||
}
|
||||
|
||||
if !ollama_has_model(&model).await {
|
||||
let installed_models = ollama_model_names().await;
|
||||
let resolved_model = if let Some(installed) = startup_installed_model(&model, &installed_models) {
|
||||
installed
|
||||
} else {
|
||||
{
|
||||
let mut s = status.lock().await;
|
||||
s.detail = format!("Downloading {}... (this may take a minute)", model);
|
||||
}
|
||||
if let Err(e) = pull_model(&model).await {
|
||||
// If the chosen model fails, try the tiny fallback
|
||||
eprintln!("Warning: failed to pull {}: {}", model, e);
|
||||
if !ollama_has_model(FALLBACK_MODEL).await {
|
||||
{
|
||||
let mut s = status.lock().await;
|
||||
s.detail = format!("Downloading {}...", FALLBACK_MODEL);
|
||||
}
|
||||
if let Err(e2) = pull_model(FALLBACK_MODEL).await {
|
||||
let mut s = status.lock().await;
|
||||
s.error = Some(format!("Failed to download model: {}", e2));
|
||||
return;
|
||||
match pull_model(&model).await {
|
||||
Ok(()) => model.clone(),
|
||||
Err(e) => {
|
||||
eprintln!("Warning: failed to pull {}: {}", model, e);
|
||||
|
||||
// If a local model appeared while pulling, use it instead of
|
||||
// making startup depend on another network pull.
|
||||
if let Some(installed) = preferred_installed_model(&ollama_model_names().await) {
|
||||
installed
|
||||
} else if ollama_has_model(FALLBACK_MODEL).await {
|
||||
FALLBACK_MODEL.to_string()
|
||||
} else {
|
||||
{
|
||||
let mut s = status.lock().await;
|
||||
s.detail = format!("Downloading {}...", FALLBACK_MODEL);
|
||||
}
|
||||
if let Err(e2) = pull_model(FALLBACK_MODEL).await {
|
||||
if let Some(installed) =
|
||||
preferred_installed_model(&ollama_model_names().await)
|
||||
{
|
||||
installed
|
||||
} else {
|
||||
let mut s = status.lock().await;
|
||||
s.error = Some(format!("Failed to download model: {}", e2));
|
||||
return;
|
||||
}
|
||||
} else {
|
||||
FALLBACK_MODEL.to_string()
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
if resolved_model != model {
|
||||
let mut s = status.lock().await;
|
||||
s.detail = format!("Using installed model {}.", resolved_model);
|
||||
}
|
||||
|
||||
// The pull may have fallen back to FALLBACK_MODEL; serve and persist
|
||||
// whatever is actually available now, not the originally-planned tag.
|
||||
let resolved_model = if ollama_has_model(&model).await {
|
||||
model
|
||||
} else {
|
||||
FALLBACK_MODEL.to_string()
|
||||
};
|
||||
serve_model_override = Some(resolved_model.clone());
|
||||
|
||||
// Persist the resolved model so Settings shows it and future boots reuse it.
|
||||
let mut persisted = cfg.clone();
|
||||
persisted.model = Some(resolved_model);
|
||||
let _ = write_inference_config(&persisted);
|
||||
// Persist only first-run/default resolution. If the user explicitly
|
||||
// configured a model, do not overwrite that choice with a temporary
|
||||
// fallback selected just to keep startup nonfatal.
|
||||
if should_persist_resolved_model(&cfg) {
|
||||
let mut persisted = cfg.clone();
|
||||
persisted.model = Some(resolved_model);
|
||||
let _ = write_inference_config(&persisted);
|
||||
}
|
||||
|
||||
{
|
||||
let mut s = status.lock().await;
|
||||
@@ -2647,8 +2721,10 @@ pub fn run() {
|
||||
mod tests {
|
||||
use super::{
|
||||
boot_plan, default_local_model, format_uv_sync_failure, format_uv_sync_spawn_error,
|
||||
normalize_host, parse_inference_config, upsert_engine_host, uv_sync_stderr_tail,
|
||||
InferenceConfig, SourceKind,
|
||||
matching_installed_model, model_names_match, normalize_host, parse_inference_config,
|
||||
parse_ollama_model_names, preferred_installed_model, should_persist_resolved_model,
|
||||
startup_installed_model,
|
||||
upsert_engine_host, uv_sync_stderr_tail, InferenceConfig, SourceKind,
|
||||
};
|
||||
use std::path::Path;
|
||||
|
||||
@@ -2730,6 +2806,97 @@ mod tests {
|
||||
assert_eq!(default_local_model(1.0), super::FALLBACK_MODEL);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_ollama_model_names_reads_nonempty_names() {
|
||||
let body = serde_json::json!({
|
||||
"models": [
|
||||
{"name": "llama3.2:latest"},
|
||||
{"name": ""},
|
||||
{"name": "qwen3.5:4b"},
|
||||
{"model": "mistral:latest"}
|
||||
]
|
||||
});
|
||||
assert_eq!(
|
||||
parse_ollama_model_names(&body),
|
||||
vec![
|
||||
"llama3.2:latest".to_string(),
|
||||
"qwen3.5:4b".to_string(),
|
||||
"mistral:latest".to_string()
|
||||
]
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn model_names_match_treats_latest_as_optional() {
|
||||
assert!(model_names_match("llama3.2:latest", "llama3.2"));
|
||||
assert!(model_names_match("llama3.2", "llama3.2:latest"));
|
||||
assert!(model_names_match("qwen3.5:4b", "qwen3.5:4b"));
|
||||
assert!(!model_names_match("llama3.2:latest", "qwen3.5:4b"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn installed_model_helpers_pick_matching_or_first_model() {
|
||||
let models = vec!["llama3.2:latest".to_string(), "qwen3.5:4b".to_string()];
|
||||
assert_eq!(
|
||||
matching_installed_model(&models, "llama3.2"),
|
||||
Some("llama3.2:latest".to_string())
|
||||
);
|
||||
assert_eq!(
|
||||
preferred_installed_model(&models),
|
||||
Some("llama3.2:latest".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn preferred_installed_model_skips_embedding_names_when_chat_model_exists() {
|
||||
let models = vec![
|
||||
"nomic-embed-text:latest".to_string(),
|
||||
"llama3.2:latest".to_string(),
|
||||
];
|
||||
assert_eq!(
|
||||
preferred_installed_model(&models),
|
||||
Some("llama3.2:latest".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn startup_installed_model_uses_existing_model_for_defaults() {
|
||||
let models = vec!["llama3.2:latest".to_string()];
|
||||
assert_eq!(
|
||||
startup_installed_model("qwen3.5:4b", &models),
|
||||
Some("llama3.2:latest".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn startup_installed_model_uses_existing_model_when_configured_model_missing() {
|
||||
let models = vec!["llama3.2:latest".to_string()];
|
||||
assert_eq!(
|
||||
startup_installed_model("qwen3.5:4b", &models),
|
||||
Some("llama3.2:latest".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn resolved_model_is_only_persisted_when_no_model_was_configured() {
|
||||
let default_cfg = InferenceConfig { kind: SourceKind::Ollama, ..Default::default() };
|
||||
assert!(should_persist_resolved_model(&default_cfg));
|
||||
|
||||
let empty_cfg = InferenceConfig {
|
||||
kind: SourceKind::Ollama,
|
||||
model: Some(" ".into()),
|
||||
..Default::default()
|
||||
};
|
||||
assert!(should_persist_resolved_model(&empty_cfg));
|
||||
|
||||
let user_cfg = InferenceConfig {
|
||||
kind: SourceKind::Ollama,
|
||||
model: Some("qwen3.5:9b".into()),
|
||||
..Default::default()
|
||||
};
|
||||
assert!(!should_persist_resolved_model(&user_cfg));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_defaults_to_ollama_when_file_missing_or_garbage() {
|
||||
assert!(matches!(parse_inference_config("").kind, SourceKind::Ollama));
|
||||
|
||||
Reference in New Issue
Block a user