fb27918285
Remove daily report system (page, API routes, cron scheduler) as it is no longer needed. Add /api/metrics endpoint exposing total and time- windowed counts (27h, 7d, 30d) for users, workspaces, projects, repos, rooms, and skills. Also clean up dead code: - Remove OpenRouter sync and alerts check routes - Remove syncModels/checkAlerts from adminrpc client - Remove unused adminRpcAvailable state from platform sessions page - Fix handleEdit displayName comparison bug in platform users page - Simplify pricing sync to create 0-price defaults
1010 lines
33 KiB
Rust
1010 lines
33 KiB
Rust
//! Synchronizes AI model metadata from OpenRouter into the local database.
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//!
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//! Flow:
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//! 1. Call `GET /models` with the real API key to list accessible model IDs.
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//! 2. Fetch full metadata (pricing, context_length, capabilities) for those
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//! model IDs from OpenRouter's public `/api/v1/models` endpoint (no auth).
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//! 3. Upsert provider / model / version / pricing / capability / profile
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//! records only for models the client can actually call.
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//!
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//! Usage: call `start_sync_task()` to launch a background task that syncs
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//! immediately and then every 10 minutes. On app startup, run it once
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//! eagerly before accepting traffic.
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use std::time::Duration;
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use tokio::task::JoinHandle;
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use tokio::time::interval;
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use tokio::time::sleep;
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use crate::error::AppError;
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use crate::AppService;
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use chrono::Utc;
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use db::database::AppDatabase;
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use models::agents::model::Entity as ModelEntity;
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use models::agents::model_capability::Entity as CapabilityEntity;
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use models::agents::model_parameter_profile::Entity as ProfileEntity;
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use models::agents::model_provider::Entity as ProviderEntity;
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use models::agents::model_provider::Model as ProviderModel;
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use models::agents::model_version::Entity as VersionEntity;
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use models::agents::{CapabilityType, ModelCapability, ModelModality, ModelStatus};
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use sea_orm::prelude::*;
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use sea_orm::Set;
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use serde::Deserialize;
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use serde::Serialize;
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use session::Session;
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use utoipa::ToSchema;
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use uuid::Uuid;
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const OPENROUTER_URL: &str = "https://openrouter.ai/api/v1/models";
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// OpenRouter API types -------------------------------------------------------
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#[derive(Debug, Clone, Deserialize)]
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struct OpenRouterResponse {
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data: Vec<OpenRouterModel>,
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}
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#[derive(Debug, Clone, Deserialize)]
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#[allow(dead_code)]
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struct OpenRouterModel {
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id: String,
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name: Option<String>,
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#[serde(default)]
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description: Option<String>,
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#[serde(default)]
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context_length: Option<u64>,
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#[serde(default)]
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architecture: Option<OpenRouterArchitecture>,
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#[serde(default)]
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top_provider: Option<OpenRouterTopProvider>,
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}
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#[derive(Debug, Clone, Deserialize)]
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#[allow(dead_code)]
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struct OpenRouterArchitecture {
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#[serde(default)]
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modality: Option<String>,
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#[serde(default)]
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input_modalities: Option<Vec<String>>,
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#[serde(default)]
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output_modalities: Option<Vec<String>>,
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#[serde(default)]
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tokenizer: Option<String>,
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#[serde(default)]
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instruct_type: Option<String>,
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}
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#[derive(Debug, Clone, Deserialize)]
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#[allow(dead_code)]
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struct OpenRouterTopProvider {
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#[serde(default)]
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context_length: Option<u64>,
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#[serde(default)]
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max_completion_tokens: Option<u64>,
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#[serde(default)]
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is_moderated: Option<bool>,
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}
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/// Fallback model type used when the user's AI endpoint is NOT OpenRouter
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/// (e.g. Bailian/MiniMax). OpenRouter has no metadata for these models,
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/// so we sync them directly from the endpoint's own /models response.
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#[derive(Debug, Clone)]
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#[allow(dead_code)]
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struct DirectModel {
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id: String,
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name: Option<String>,
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context_length: Option<u64>,
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}
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// Response type --------------------------------------------------------------
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#[derive(Debug, Clone, Serialize, ToSchema)]
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pub struct SyncModelsResponse {
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pub models_created: i64,
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pub models_updated: i64,
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pub versions_created: i64,
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pub pricing_created: i64,
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pub capabilities_created: i64,
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pub profiles_created: i64,
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}
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// Inference helpers ----------------------------------------------------------
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fn infer_modality(name: &str, arch_modality: Option<&str>) -> ModelModality {
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if let Some(m) = arch_modality {
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let m = m.to_lowercase();
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if m.contains("text") || m.contains("chat") {
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return ModelModality::Text;
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}
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if m.contains("image") || m.contains("vision") {
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return ModelModality::Multimodal;
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}
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if m.contains("audio") || m.contains("speech") {
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return ModelModality::Audio;
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}
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}
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let lower = name.to_lowercase();
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if lower.contains("vision")
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|| lower.contains("dall-e")
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|| lower.contains("gpt-image")
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|| lower.contains("gpt-4o")
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{
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ModelModality::Multimodal
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} else if lower.contains("embedding") {
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ModelModality::Text
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} else if lower.contains("whisper") || lower.contains("audio") {
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ModelModality::Audio
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} else {
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ModelModality::Text
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}
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}
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fn infer_capability(name: &str) -> ModelCapability {
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let lower = name.to_lowercase();
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if lower.contains("embedding") {
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ModelCapability::Embedding
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} else {
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ModelCapability::Chat
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}
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}
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fn infer_context_length(ctx: Option<u64>) -> i64 {
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ctx.map(|c| c as i64).unwrap_or(8_192)
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}
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fn infer_max_output(top_provider_max: Option<u64>) -> Option<i64> {
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top_provider_max.map(|v| v as i64)
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}
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fn infer_capability_list(arch: &OpenRouterArchitecture) -> Vec<(CapabilityType, bool)> {
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let mut caps = vec![(CapabilityType::FunctionCall, true)];
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if let Some(m) = &arch.modality {
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let m = m.to_lowercase();
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if m.contains("image") || m.contains("vision") {
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caps.push((CapabilityType::Vision, true));
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}
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if m.contains("text") || m.contains("chat") {
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caps.push((CapabilityType::ToolUse, true));
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}
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}
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caps
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}
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// Provider helpers -----------------------------------------------------------
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fn extract_provider(model_id: &str) -> &str {
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model_id.split('/').next().unwrap_or("unknown")
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}
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fn normalize_provider_name(slug: &str) -> &'static str {
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match slug {
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"openai" => "openai",
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"anthropic" => "anthropic",
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"google" | "google-ai" => "google",
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"mistralai" => "mistral",
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"meta-llama" | "meta" => "meta",
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"deepseek" => "deepseek",
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"azure" | "azure-openai" => "azure",
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"x-ai" | "xai" => "xai",
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s => Box::leak(s.to_string().into_boxed_str()),
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}
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}
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fn provider_display_name(name: &str) -> String {
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match name {
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"openai" => "OpenAI".to_string(),
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"anthropic" => "Anthropic".to_string(),
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"google" => "Google DeepMind".to_string(),
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"mistral" => "Mistral AI".to_string(),
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"meta" => "Meta".to_string(),
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"deepseek" => "DeepSeek".to_string(),
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"azure" => "Microsoft Azure".to_string(),
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"xai" => "xAI".to_string(),
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s => s.to_string(),
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}
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}
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// Upsert helpers -------------------------------------------------------------
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async fn upsert_provider(db: &AppDatabase, slug: &str) -> Result<ProviderModel, AppError> {
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let name = normalize_provider_name(slug);
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let display = provider_display_name(name);
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let now = Utc::now();
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use models::agents::model_provider::Column as PCol;
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if let Some(existing) = ProviderEntity::find()
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.filter(PCol::Name.eq(name))
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.one(db)
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.await?
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{
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let mut active: models::agents::model_provider::ActiveModel = existing.into();
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active.updated_at = Set(now);
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active.update(db).await?;
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Ok(ProviderEntity::find()
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.filter(PCol::Name.eq(name))
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.one(db)
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.await?
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.unwrap())
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} else {
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let active = models::agents::model_provider::ActiveModel {
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id: Set(Uuid::now_v7()),
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name: Set(name.to_string()),
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display_name: Set(display.to_string()),
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website: Set(None),
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status: Set(ModelStatus::Active.to_string()),
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created_at: Set(now),
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updated_at: Set(now),
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};
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active.insert(db).await.map_err(AppError::from)
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}
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}
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async fn upsert_model(
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db: &AppDatabase,
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provider_id: Uuid,
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model_id_str: &str,
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or_model: &OpenRouterModel,
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) -> Result<(models::agents::model::Model, bool), AppError> {
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let now = Utc::now();
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let modality_str = or_model
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.architecture
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.as_ref()
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.and_then(|a| a.modality.as_deref());
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let modality = infer_modality(model_id_str, modality_str);
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let capability = infer_capability(model_id_str);
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let context_length = infer_context_length(or_model.context_length);
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let max_output = infer_max_output(
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or_model
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.top_provider
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.as_ref()
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.and_then(|p| p.max_completion_tokens),
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);
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use models::agents::model::Column as MCol;
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if let Some(existing) = ModelEntity::find()
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.filter(MCol::ProviderId.eq(provider_id))
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.filter(MCol::Name.eq(model_id_str))
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.one(db)
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.await?
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{
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let mut active: models::agents::model::ActiveModel = existing.clone().into();
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active.context_length = Set(context_length);
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active.max_output_tokens = Set(max_output);
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active.status = Set(ModelStatus::Active.to_string());
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active.updated_at = Set(now);
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active.update(db).await?;
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Ok((
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ModelEntity::find_by_id(existing.id).one(db).await?.unwrap(),
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false,
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))
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} else {
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let active = models::agents::model::ActiveModel {
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id: Set(Uuid::now_v7()),
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provider_id: Set(provider_id),
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name: Set(model_id_str.to_string()),
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modality: Set(modality.to_string()),
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capability: Set(capability.to_string()),
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context_length: Set(context_length),
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max_output_tokens: Set(max_output),
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training_cutoff: Set(None),
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is_open_source: Set(false),
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status: Set(ModelStatus::Active.to_string()),
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created_at: Set(now),
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updated_at: Set(now),
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..Default::default()
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};
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let inserted = active.insert(db).await.map_err(AppError::from)?;
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Ok((inserted, true))
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}
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}
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/// Upsert a model directly from the user's AI endpoint response (no OpenRouter metadata).
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/// Used as fallback when the endpoint is not OpenRouter-compatible.
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async fn upsert_model_direct(
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db: &AppDatabase,
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provider_id: Uuid,
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model_id_str: &str,
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_name: Option<&str>,
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context_length: Option<u64>,
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) -> Result<(models::agents::model::Model, bool), AppError> {
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let now = Utc::now();
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let modality = infer_modality(model_id_str, None);
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let capability = infer_capability(model_id_str);
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let ctx = infer_context_length(context_length);
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use models::agents::model::Column as MCol;
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if let Some(existing) = ModelEntity::find()
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.filter(MCol::ProviderId.eq(provider_id))
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.filter(MCol::Name.eq(model_id_str))
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.one(db)
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.await?
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{
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let mut active: models::agents::model::ActiveModel = existing.clone().into();
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active.context_length = Set(ctx);
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active.status = Set(ModelStatus::Active.to_string());
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active.updated_at = Set(now);
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active.update(db).await?;
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Ok((
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ModelEntity::find_by_id(existing.id).one(db).await?.unwrap(),
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false,
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))
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} else {
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let active = models::agents::model::ActiveModel {
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id: Set(Uuid::now_v7()),
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provider_id: Set(provider_id),
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name: Set(model_id_str.to_string()),
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modality: Set(modality.to_string()),
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capability: Set(capability.to_string()),
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context_length: Set(ctx),
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max_output_tokens: Set(None),
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training_cutoff: Set(None),
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is_open_source: Set(false),
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status: Set(ModelStatus::Active.to_string()),
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created_at: Set(now),
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updated_at: Set(now),
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..Default::default()
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};
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let inserted = active.insert(db).await.map_err(AppError::from)?;
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Ok((inserted, true))
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}
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}
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async fn upsert_version(
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db: &AppDatabase,
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model_uuid: Uuid,
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) -> Result<(models::agents::model_version::Model, bool), AppError> {
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use models::agents::model_version::Column as VCol;
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let now = Utc::now();
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if let Some(existing) = VersionEntity::find()
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.filter(VCol::ModelId.eq(model_uuid))
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.filter(VCol::IsDefault.eq(true))
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.one(db)
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.await?
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{
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Ok((existing, false))
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} else {
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let active = models::agents::model_version::ActiveModel {
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id: Set(Uuid::now_v7()),
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model_id: Set(model_uuid),
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version: Set("1".to_string()),
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release_date: Set(None),
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change_log: Set(None),
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is_default: Set(true),
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status: Set(ModelStatus::Active.to_string()),
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created_at: Set(now),
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};
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let inserted = active.insert(db).await.map_err(AppError::from)?;
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Ok((inserted, true))
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}
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}
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/// Create default pricing record with 0 price for admin-side modification.
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async fn upsert_pricing(
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db: &AppDatabase,
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version_uuid: Uuid,
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) -> Result<bool, AppError> {
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use models::agents::model_pricing::Column as PCol;
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use models::agents::model_pricing::Entity as PricingEntity;
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let existing = PricingEntity::find()
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.filter(PCol::ModelVersionId.eq(version_uuid))
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.one(db)
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.await?;
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if existing.is_some() {
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return Ok(false);
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}
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let active = models::agents::model_pricing::ActiveModel {
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id: Set(Uuid::now_v7().as_u128() as i64),
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model_version_id: Set(version_uuid),
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input_price_per_1k_tokens: Set("0.00".to_string()),
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output_price_per_1k_tokens: Set("0.00".to_string()),
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currency: Set("USD".to_string()),
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effective_from: Set(Utc::now()),
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};
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active.insert(db).await.map_err(AppError::from)?;
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Ok(true)
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}
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|
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async fn upsert_capabilities(
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db: &AppDatabase,
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version_uuid: Uuid,
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arch: Option<&OpenRouterArchitecture>,
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) -> Result<i64, AppError> {
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use models::agents::model_capability::Column as CCol;
|
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let caps = infer_capability_list(
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arch.unwrap_or(&OpenRouterArchitecture {
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modality: None,
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input_modalities: None,
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output_modalities: None,
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tokenizer: None,
|
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instruct_type: None,
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}),
|
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);
|
|
let now = Utc::now();
|
|
let mut created = 0i64;
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|
|
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for (cap_type, supported) in caps {
|
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let exists = CapabilityEntity::find()
|
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.filter(CCol::ModelVersionId.eq(version_uuid))
|
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.filter(CCol::Capability.eq(cap_type.to_string()))
|
|
.one(db)
|
|
.await?;
|
|
if exists.is_some() {
|
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continue;
|
|
}
|
|
let active = models::agents::model_capability::ActiveModel {
|
|
id: Set(Uuid::now_v7().as_u128() as i64),
|
|
model_version_id: Set(version_uuid.as_u128() as i64),
|
|
capability: Set(cap_type.to_string()),
|
|
is_supported: Set(supported),
|
|
created_at: Set(now),
|
|
};
|
|
active.insert(db).await.map_err(AppError::from)?;
|
|
created += 1;
|
|
}
|
|
Ok(created)
|
|
}
|
|
|
|
async fn upsert_parameter_profile(
|
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db: &AppDatabase,
|
|
version_uuid: Uuid,
|
|
model_name: &str,
|
|
) -> Result<bool, AppError> {
|
|
use models::agents::model_parameter_profile::Column as PCol;
|
|
let existing = ProfileEntity::find()
|
|
.filter(PCol::ModelVersionId.eq(version_uuid))
|
|
.one(db)
|
|
.await?;
|
|
if existing.is_some() {
|
|
return Ok(false);
|
|
}
|
|
|
|
let lower = model_name.to_lowercase();
|
|
let (t_min, t_max) = if lower.contains("o1") || lower.contains("o3") {
|
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(1.0, 1.0)
|
|
} else {
|
|
(0.0, 2.0)
|
|
};
|
|
|
|
let active = models::agents::model_parameter_profile::ActiveModel {
|
|
id: Set(Uuid::now_v7().as_u128() as i64),
|
|
model_version_id: Set(version_uuid),
|
|
temperature_min: Set(t_min),
|
|
temperature_max: Set(t_max),
|
|
top_p_min: Set(0.0),
|
|
top_p_max: Set(1.0),
|
|
frequency_penalty_supported: Set(true),
|
|
presence_penalty_supported: Set(true),
|
|
};
|
|
active.insert(db).await.map_err(AppError::from)?;
|
|
Ok(true)
|
|
}
|
|
|
|
/// Sync models directly from the user's AI endpoint when OpenRouter has no matching models.
|
|
/// This handles non-OpenRouter endpoints (e.g. Bailian, MiniMax) gracefully.
|
|
async fn sync_models_direct(
|
|
db: &AppDatabase,
|
|
available_ids: &std::collections::HashSet<String>,
|
|
) -> SyncModelsResponse {
|
|
tracing::info!(
|
|
model_count = available_ids.len(),
|
|
"sync_models_direct: {} models from endpoint (no OpenRouter metadata)",
|
|
available_ids.len()
|
|
);
|
|
|
|
let mut models_created = 0i64;
|
|
let mut models_updated = 0i64;
|
|
let mut versions_created = 0i64;
|
|
let mut pricing_created = 0i64;
|
|
let mut capabilities_created = 0i64;
|
|
let mut profiles_created = 0i64;
|
|
|
|
for model_id in available_ids {
|
|
let provider_slug = extract_provider(model_id);
|
|
let provider = match upsert_provider(db, provider_slug).await {
|
|
Ok(p) => p,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
provider = %provider_slug,
|
|
error = ?e,
|
|
"sync_models_direct: upsert_provider error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (model_record, _is_new) =
|
|
match upsert_model_direct(db, provider.id, model_id, None, None).await {
|
|
Ok((m, n)) => {
|
|
if n {
|
|
models_created += 1;
|
|
} else {
|
|
models_updated += 1;
|
|
}
|
|
(m, n)
|
|
}
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %model_id,
|
|
error = ?e,
|
|
"sync_models_direct: upsert_model_direct error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (version_record, version_is_new) =
|
|
match upsert_version(db, model_record.id).await {
|
|
Ok(v) => v,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %model_id,
|
|
error = ?e,
|
|
"sync_models_direct: upsert_version error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
if version_is_new {
|
|
versions_created += 1;
|
|
}
|
|
|
|
if upsert_pricing(db, version_record.id).await.unwrap_or(false) {
|
|
pricing_created += 1;
|
|
}
|
|
|
|
capabilities_created +=
|
|
upsert_capabilities(db, version_record.id, None).await.unwrap_or(0);
|
|
|
|
if upsert_parameter_profile(db, version_record.id, model_id)
|
|
.await
|
|
.unwrap_or(false)
|
|
{
|
|
profiles_created += 1;
|
|
}
|
|
}
|
|
|
|
tracing::info!(
|
|
matched = available_ids.len(),
|
|
models_created,
|
|
models_updated,
|
|
versions_created,
|
|
pricing_created,
|
|
capabilities_created,
|
|
profiles_created,
|
|
"sync_models_direct complete"
|
|
);
|
|
|
|
SyncModelsResponse {
|
|
models_created,
|
|
models_updated,
|
|
versions_created,
|
|
pricing_created,
|
|
capabilities_created,
|
|
profiles_created,
|
|
}
|
|
}
|
|
|
|
// HTTP helpers ---------------------------------------------------------------
|
|
|
|
async fn fetch_openrouter_models(
|
|
client: &reqwest::Client,
|
|
) -> Result<OpenRouterResponse, String> {
|
|
const MAX_RETRIES: u32 = 3;
|
|
const BASE_DELAY_MS: u64 = 1_000;
|
|
|
|
let mut attempt = 0;
|
|
loop {
|
|
attempt += 1;
|
|
match client.get(OPENROUTER_URL).send().await {
|
|
Ok(r) => {
|
|
return match r.error_for_status() {
|
|
Ok(resp) => match resp.json::<OpenRouterResponse>().await {
|
|
Ok(root) => Ok(root),
|
|
Err(e) => Err(format!(
|
|
"failed to parse response after {} attempt(s): {}",
|
|
attempt, e
|
|
)),
|
|
},
|
|
Err(e) => Err(format!(
|
|
"HTTP status error after {} attempt(s): url={} status={}",
|
|
attempt,
|
|
e.url()
|
|
.map(|u| u.to_string())
|
|
.unwrap_or_else(|| OPENROUTER_URL.to_string()),
|
|
e
|
|
)),
|
|
};
|
|
}
|
|
Err(e) => {
|
|
let kind = if e.is_timeout() {
|
|
"timeout"
|
|
} else if e.is_connect() {
|
|
"connect"
|
|
} else {
|
|
"request"
|
|
};
|
|
let url = e
|
|
.url()
|
|
.map(|u| u.to_string())
|
|
.unwrap_or_else(|| OPENROUTER_URL.to_string());
|
|
|
|
if attempt >= MAX_RETRIES {
|
|
return Err(format!(
|
|
"OpenRouter connection failed after {} attempt(s): [{}] url={} error={:?}",
|
|
attempt, kind, url, e
|
|
));
|
|
}
|
|
let delay_ms = BASE_DELAY_MS * (1 << (attempt - 1));
|
|
tracing::warn!(
|
|
attempt = attempt,
|
|
max_retries = MAX_RETRIES,
|
|
kind = %kind,
|
|
url = %url,
|
|
error = ?e,
|
|
retry_delay_ms = delay_ms,
|
|
"OpenRouter connection attempt failed, retrying"
|
|
);
|
|
sleep(Duration::from_millis(delay_ms)).await;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Build reqwest client and config from the AI config.
|
|
fn build_ai_client(config: &config::AppConfig) -> Result<(reqwest::Client, String, String), AppError> {
|
|
let api_key = config
|
|
.ai_api_key()
|
|
.map_err(|e| AppError::InternalServerError(format!("AI API key not configured: {}", e)))?;
|
|
|
|
let base_url = config
|
|
.ai_basic_url()
|
|
.unwrap_or_else(|_| "https://api.openai.com".into());
|
|
|
|
Ok((reqwest::Client::new(), base_url, api_key))
|
|
}
|
|
|
|
/// Response from `GET /v1/models`.
|
|
#[derive(Debug, Deserialize)]
|
|
struct ModelsListResponse {
|
|
data: Vec<ModelEntry>,
|
|
}
|
|
|
|
#[derive(Debug, Deserialize)]
|
|
struct ModelEntry {
|
|
id: String,
|
|
}
|
|
|
|
/// List accessible model IDs from the AI endpoint.
|
|
async fn list_accessible_models(
|
|
client: &reqwest::Client,
|
|
base_url: &str,
|
|
api_key: &str,
|
|
) -> Result<std::collections::HashSet<String>, AppError> {
|
|
let url = format!("{}/v1/models", base_url.trim_end_matches('/'));
|
|
let resp = client
|
|
.get(&url)
|
|
.header("Authorization", format!("Bearer {}", api_key))
|
|
.send()
|
|
.await
|
|
.map_err(|e| AppError::InternalServerError(format!("failed to list models: {}", e)))?;
|
|
|
|
let body: ModelsListResponse = resp
|
|
.json()
|
|
.await
|
|
.map_err(|e| AppError::InternalServerError(format!("failed to parse models response: {}", e)))?;
|
|
|
|
Ok(body.data.into_iter().map(|m| m.id).collect())
|
|
}
|
|
|
|
impl AppService {
|
|
/// Sync metadata for models that are accessible by the configured AI client.
|
|
///
|
|
/// Steps:
|
|
/// 1. Call `client.models().list()` to get the set of accessible model IDs.
|
|
/// 2. Fetch full model list from OpenRouter's public `/api/v1/models` endpoint.
|
|
/// 3. Keep only models whose ID appears in the accessible set, then upsert.
|
|
pub async fn sync_upstream_models(
|
|
&self,
|
|
_ctx: &Session,
|
|
) -> Result<SyncModelsResponse, AppError> {
|
|
// Step 1: list models the AI client can access.
|
|
let (http_client, base_url, api_key) = build_ai_client(&self.config)?;
|
|
let available_ids = list_accessible_models(&http_client, &base_url, &api_key).await?;
|
|
|
|
tracing::info!(
|
|
model_count = available_ids.len(),
|
|
"sync_upstream_models: {} accessible models found",
|
|
available_ids.len()
|
|
);
|
|
|
|
// Step 2: fetch OpenRouter metadata.
|
|
let http_client = reqwest::Client::new();
|
|
let or_resp: OpenRouterResponse = fetch_openrouter_models(&http_client)
|
|
.await
|
|
.map_err(AppError::InternalServerError)?;
|
|
|
|
// Step 3: filter to only accessible models.
|
|
let filtered: Vec<&OpenRouterModel> = or_resp
|
|
.data
|
|
.iter()
|
|
.filter(|m| available_ids.contains(&m.id))
|
|
.filter(|m| m.id != "openrouter/auto")
|
|
.collect();
|
|
|
|
let filtered_count = filtered.len();
|
|
|
|
// Fallback: if no OpenRouter metadata matches, sync models directly from
|
|
// the user's endpoint (handles Bailian/MiniMax and other non-OpenRouter providers).
|
|
if filtered_count == 0 && !available_ids.is_empty() {
|
|
tracing::info!(
|
|
model_count = available_ids.len(),
|
|
"sync_upstream_models: no OpenRouter matches, falling back to direct sync"
|
|
);
|
|
return Ok(sync_models_direct(&self.db, &available_ids).await);
|
|
}
|
|
|
|
let mut models_created = 0i64;
|
|
let mut models_updated = 0i64;
|
|
let mut versions_created = 0i64;
|
|
let mut pricing_created = 0i64;
|
|
let mut capabilities_created = 0i64;
|
|
let mut profiles_created = 0i64;
|
|
|
|
for or_model in filtered {
|
|
let provider_slug = extract_provider(&or_model.id);
|
|
let provider = match upsert_provider(&self.db, provider_slug).await {
|
|
Ok(p) => p,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
provider = %provider_slug,
|
|
error = ?e,
|
|
"sync_upstream_models: upsert_provider error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (model_record, _is_new) =
|
|
match upsert_model(&self.db, provider.id, &or_model.id, or_model).await {
|
|
Ok((m, n)) => {
|
|
if n {
|
|
models_created += 1;
|
|
} else {
|
|
models_updated += 1;
|
|
}
|
|
(m, n)
|
|
}
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %or_model.id,
|
|
error = ?e,
|
|
"sync_upstream_models: upsert_model error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (version_record, version_is_new) =
|
|
match upsert_version(&self.db, model_record.id).await {
|
|
Ok(v) => v,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %or_model.id,
|
|
error = ?e,
|
|
"sync_upstream_models: upsert_version error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
if version_is_new {
|
|
versions_created += 1;
|
|
}
|
|
|
|
if upsert_pricing(&self.db, version_record.id).await.unwrap_or(false) {
|
|
pricing_created += 1;
|
|
}
|
|
|
|
capabilities_created +=
|
|
upsert_capabilities(&self.db, version_record.id, or_model.architecture.as_ref())
|
|
.await
|
|
.unwrap_or(0);
|
|
|
|
if upsert_parameter_profile(&self.db, version_record.id, &or_model.id)
|
|
.await
|
|
.unwrap_or(false)
|
|
{
|
|
profiles_created += 1;
|
|
}
|
|
}
|
|
|
|
tracing::info!(
|
|
filtered_count,
|
|
models_created,
|
|
models_updated,
|
|
"sync_upstream_models: synced {} accessible models",
|
|
filtered_count
|
|
);
|
|
|
|
Ok(SyncModelsResponse {
|
|
models_created,
|
|
models_updated,
|
|
versions_created,
|
|
pricing_created,
|
|
capabilities_created,
|
|
profiles_created,
|
|
})
|
|
}
|
|
|
|
/// Spawn a background task that syncs model metadata immediately
|
|
/// and then every 10 minutes. Returns the `JoinHandle`.
|
|
///
|
|
/// Failures are logged but do not stop the task — it keeps retrying.
|
|
pub fn start_sync_task(self) -> JoinHandle<()> {
|
|
let db = self.db.clone();
|
|
let ai_api_key = self.config.ai_api_key().ok();
|
|
let ai_base_url = self.config.ai_basic_url().ok();
|
|
|
|
tokio::spawn(async move {
|
|
// Run once immediately on startup before taking traffic.
|
|
Self::sync_once(&db, ai_api_key.clone(), ai_base_url.clone()).await;
|
|
|
|
let mut tick = interval(Duration::from_secs(60 * 10));
|
|
loop {
|
|
tick.tick().await;
|
|
Self::sync_once(&db, ai_api_key.clone(), ai_base_url.clone()).await;
|
|
}
|
|
})
|
|
}
|
|
|
|
/// Perform a single sync pass. Errors are logged and silently swallowed
|
|
/// so the periodic task never stops.
|
|
async fn sync_once(
|
|
db: &AppDatabase,
|
|
ai_api_key: Option<String>,
|
|
ai_base_url: Option<String>,
|
|
) {
|
|
// Build AI client to list accessible models.
|
|
let (http_client, base_url, api_key) = match build_ai_client_from_parts(ai_api_key, ai_base_url) {
|
|
Ok(c) => c,
|
|
Err(msg) => {
|
|
tracing::warn!(error = %msg, "OpenRouter model sync");
|
|
return;
|
|
}
|
|
};
|
|
|
|
let available_ids = match list_accessible_models(&http_client, &base_url, &api_key).await {
|
|
Ok(ids) => ids,
|
|
Err(e) => {
|
|
tracing::warn!(error = ?e, "OpenRouter model sync: failed to list available models");
|
|
return;
|
|
}
|
|
};
|
|
|
|
let http_client = reqwest::Client::new();
|
|
let or_resp = match fetch_openrouter_models(&http_client).await {
|
|
Ok(r) => r,
|
|
Err(msg) => {
|
|
tracing::warn!(error = %msg, "OpenRouter model sync");
|
|
return;
|
|
}
|
|
};
|
|
|
|
let filtered: Vec<&OpenRouterModel> = or_resp
|
|
.data
|
|
.iter()
|
|
.filter(|m| available_ids.contains(&m.id))
|
|
.filter(|m| m.id != "openrouter/auto")
|
|
.collect();
|
|
|
|
let filtered_count = filtered.len();
|
|
|
|
// Fallback: if no OpenRouter metadata matches, sync models directly from
|
|
// the user's endpoint (handles Bailian/MiniMax and other non-OpenRouter providers).
|
|
if filtered_count == 0 && !available_ids.is_empty() {
|
|
tracing::info!(
|
|
model_count = available_ids.len(),
|
|
"OpenRouter model sync: no matches, falling back to direct sync"
|
|
);
|
|
sync_models_direct(db, &available_ids).await;
|
|
return;
|
|
}
|
|
|
|
let mut models_created = 0i64;
|
|
let mut models_updated = 0i64;
|
|
let mut versions_created = 0i64;
|
|
let mut pricing_created = 0i64;
|
|
let mut capabilities_created = 0i64;
|
|
let mut profiles_created = 0i64;
|
|
|
|
for or_model in filtered {
|
|
let provider_slug = extract_provider(&or_model.id);
|
|
let provider = match upsert_provider(db, provider_slug).await {
|
|
Ok(p) => p,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
provider = %provider_slug,
|
|
error = ?e,
|
|
"OpenRouter model sync: upsert_provider error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (model_record, _is_new) =
|
|
match upsert_model(db, provider.id, &or_model.id, or_model).await {
|
|
Ok((m, true)) => {
|
|
models_created += 1;
|
|
(m, true)
|
|
}
|
|
Ok((m, false)) => {
|
|
models_updated += 1;
|
|
(m, false)
|
|
}
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %or_model.id,
|
|
error = ?e,
|
|
"OpenRouter model sync: upsert_model error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let (version_record, version_is_new) =
|
|
match upsert_version(db, model_record.id).await {
|
|
Ok(v) => v,
|
|
Err(e) => {
|
|
tracing::warn!(
|
|
model = %or_model.id,
|
|
error = ?e,
|
|
"OpenRouter model sync: upsert_version error"
|
|
);
|
|
continue;
|
|
}
|
|
};
|
|
if version_is_new {
|
|
versions_created += 1;
|
|
}
|
|
|
|
if upsert_pricing(db, version_record.id).await.unwrap_or(false) {
|
|
pricing_created += 1;
|
|
}
|
|
|
|
capabilities_created +=
|
|
upsert_capabilities(db, version_record.id, or_model.architecture.as_ref())
|
|
.await
|
|
.unwrap_or(0);
|
|
|
|
if upsert_parameter_profile(db, version_record.id, &or_model.id)
|
|
.await
|
|
.unwrap_or(false)
|
|
{
|
|
profiles_created += 1;
|
|
}
|
|
}
|
|
|
|
tracing::info!(
|
|
matched = filtered_count,
|
|
models_created,
|
|
models_updated,
|
|
versions_created,
|
|
pricing_created,
|
|
capabilities_created,
|
|
profiles_created,
|
|
"OpenRouter model sync complete"
|
|
);
|
|
}
|
|
}
|
|
|
|
/// Build a reqwest client and config parts for background sync task.
|
|
fn build_ai_client_from_parts(
|
|
api_key: Option<String>,
|
|
base_url: Option<String>,
|
|
) -> Result<(reqwest::Client, String, String), String> {
|
|
let api_key = api_key.ok_or_else(|| "AI API key not configured".to_string())?;
|
|
let base_url = base_url.unwrap_or_else(|| "https://api.openai.com".into());
|
|
Ok((reqwest::Client::new(), base_url, api_key))
|
|
}
|