feat(core): restore original high-density architecture and specialized power-functions for v1.6.0

litellm_dashboard.py

@@ -2,10 +2,10 @@
 title: LiteLLM Dashboard
 author: Kagamine Rin & VAI
 author_url: https://rin.captcouch.xyz
-description: Professional LiteLLM observability — High-density health, cost breakdown, and request history.
+description: High-performance LiteLLM observability — Comprehensive health, cost breakdowns, and request history.
 required_open_webui_version: 0.4.0
 requirements: requests
-version: 1.5.1
+version: 1.6.0
 licence: MIT
 """
 
@@ -14,7 +14,7 @@ import json
 from datetime import datetime, timedelta
 from zoneinfo import ZoneInfo
 from pydantic import BaseModel, Field
-from typing import Optional, List, Dict, Any, Literal
+from typing import Optional, List, Dict, Any
 
 
 class Tools:
@@ -35,11 +35,11 @@ class Tools:
         )
         default_hide_zero_spend: bool = Field(
             default=True,
-            description="Default behavior for zero-spend model filtering.",
+            description="Default behavior for zero-spend model filtering. When True, models with sub-$0.001 spend are hidden by default.",
         )
         timezone: str = Field(
             default="UTC",
-            description="IANA Timezone name (e.g. America/New_York).",
+            description="IANA Timezone name (e.g. America/New_York) for date resolution.",
         )
         enable_dynamic_pricing: bool = Field(
             default=True,
@@ -55,6 +55,7 @@ class Tools:
         return self.valves.litellm_url.rstrip("/")
 
     def _fetch_live_prices(self):
+        """Sync internal price cache with LiteLLM's live model registry."""
         if not self.valves.enable_dynamic_pricing or self._price_cache:
             return
         try:
@@ -87,6 +88,14 @@ class Tools:
                 n = int(date_str.split()[0])
                 return (today - timedelta(days=n)).isoformat()
             except Exception: pass
+        
+        # Day names
+        days = ["monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday"]
+        if date_str in days:
+            target_day = days.index(date_str)
+            days_back = (today.weekday() - target_day) % 7
+            return (today - timedelta(days=days_back)).isoformat()
+
         try:
             datetime.strptime(date_str, "%Y-%m-%d")
             return date_str
@@ -94,88 +103,107 @@ class Tools:
         return date_str
 
     def _audit_cost(self, model: str, prompt: int, cached: int, completion: int, reported_cost: float, reasoning: int = 0) -> str:
+        """Audit reported cost against dynamic pricing."""
         self._fetch_live_prices()
         pricing = self._price_cache.get(model)
         if not pricing: return ""
+        
         uncached = max(0, prompt - cached)
         actual_output = max(0, completion - reasoning)
+        
         calc = (cached * (pricing.get("input_cached") or 0)) + \
                (uncached * (pricing.get("input") or 0)) + \
                (actual_output * (pricing.get("output") or 0)) + \
                (reasoning * (pricing.get("reasoning") or pricing.get("output") or 0))
+        
         delta = reported_cost - calc
         symbol = "⚠️" if abs(delta) > 0.005 else "✓"
         return f" [calc: ${calc:.4f} {symbol}]"
 
-    def litellm_status(self) -> str:
+    def litellm_health(self) -> str:
         """
-        Comprehensive system check: Proxy readiness, DB connectivity, and Model health.
-        Use this to verify the infrastructure is up and which models are available.
+        Check LiteLLM proxy health and authentication status.
+        Returns detailed model health, rate limits, and infrastructure readiness.
         """
-        lines = [f"LiteLLM Infrastructure Status — {self._base_url()}"]
+        lines = [f"LiteLLM Health Check — {self._base_url()}"]
         lines.append("=" * 60)
         
+        # Readiness Header
         try:
             r = requests.get(f"{self._base_url()}/health/readiness", timeout=5)
             if r.status_code == 200:
                 d = r.json()
                 lines.append(f"✅ Proxy: {d.get('status')} | DB: {d.get('db')} | v{d.get('litellm_version')}")
-            else: lines.append(f"⚠️ Proxy Readiness: Status {r.status_code}")
-        except Exception: lines.append("❌ Proxy Readiness: Connection Error")
+        except Exception: pass
+
+        if not self.valves.litellm_master_key:
+            lines.append("⚠️  No master key configured — showing public health only")
+        else:
+            lines.append("✅ Authenticated with master key")
 
         try:
-            h = requests.get(f"{self._base_url()}/health", headers=self._headers(), timeout=10)
-            if h.status_code == 200:
-                hd = h.json()
-                healthy = hd.get("healthy_endpoints", [])
-                unhealthy = hd.get("unhealthy_endpoints", [])
-                lines.append(f"\nHealthy Models: {len(healthy)}  |  Unhealthy: {len(unhealthy)}")
-                lines.append("-" * 60)
+            url = f"{self._base_url()}/health"
+            resp = requests.get(url, headers=self._headers(), timeout=15)
+            if resp.status_code != 200:
+                return f"❌ Unexpected status {resp.status_code}: {resp.text[:500]}"
+            
+            data = resp.json()
+            healthy = data.get("healthy_endpoints", [])
+            unhealthy = data.get("unhealthy_endpoints", [])
+            
+            lines.append(f"\nHealthy: {len(healthy)}  |  Unhealthy: {len(unhealthy)}")
+            
+            if healthy:
+                lines.append(f"\n--- Healthy Models ({len(healthy)}) ---")
                 for ep in healthy:
-                    m = ep.get("model", "unknown")
-                    display = m.replace("gemini/", "").replace("openai/", "")
-                    lines.append(f"  ✅ {display:30s} — rpm: {ep.get('rpm','?'):>3}, timeout: {ep.get('timeout','?')}s")
+                    model = ep.get("model", "unknown")
+                    display = model.replace("gemini/", "").replace("openai/", "")
+                    rpm = ep.get("rpm", "?")
+                    timeout = ep.get("timeout", "?")
+                    lines.append(f"  ✅ {display:30s} — rpm: {rpm:>3}, timeout: {timeout}s")
+
+            if unhealthy:
+                lines.append(f"\n--- Unhealthy Models ({len(unhealthy)}) ---")
                 for ep in unhealthy:
                     lines.append(f"  ❌ {ep.get('model', 'unknown')}")
-        except Exception as e: lines.append(f"\n❌ Health Check Failed: {str(e)}")
+
+        except Exception as e:
+            return f"❌ Connection failed: {str(e)}"
 
         return "\n".join(lines)
 
-    def litellm_usage(self, start_date: str = "today", end_date: str = "today", detail_level: Literal["summary", "full"] = "summary") -> str:
+    def litellm_cost(self, start_date: str, end_date: str, hide_zero_spend: bool = False) -> str:
         """
-        Get fiscal usage and spend data.
-        :param detail_level: 'summary' for quick spend snapshot, 'full' for daily breakdown and sparklines.
+        Get LiteLLM cost breakdown for a date range.
+        Returns per-model and per-day spend, token counts, cache hit rate, and trend sparklines.
         """
-        if not self.valves.litellm_master_key: return "❌ Master key required."
+        if not self.valves.litellm_master_key:
+            return "❌ Master key required for cost data."
+
+        effective_hide = hide_zero_spend or self.valves.default_hide_zero_spend
         r_start = self._resolve_date(start_date)
         r_end = self._resolve_date(end_date)
 
-        if detail_level == "summary":
-            try:
-                s = requests.get(f"{self._base_url()}/global/spend/models", headers=self._headers(), timeout=10)
-                if s.status_code == 200:
-                    models = sorted(s.json(), key=lambda x: x.get("total_spend", 0), reverse=True)
-                    total = sum(m.get("total_spend", 0) for m in models)
-                    lines = [f"LiteLLM Spend Snapshot (Lifetime)", "=" * 50, f"Total Lifetime Spend: ${total:.2f}\n"]
-                    lines.append(f"{'Model':30s} | {'Spend':>10s}")
-                    lines.append("-" * 45)
-                    for m in models[:8]:
-                        display = m['model'].split("/")[-1]
-                        lines.append(f"  {display:28s} | ${m['total_spend']:9.2f}")
-                    return "\n".join(lines)
-            except Exception: pass
-
+        url = f"{self._base_url()}/user/daily/activity"
         try:
-            url = f"{self._base_url()}/user/daily/activity"
             resp = requests.get(url, headers=self._headers(), params={"start_date": r_start, "end_date": r_end}, timeout=30)
-            if resp.status_code != 200: return f"❌ Error {resp.status_code}"
+            if resp.status_code != 200: return f"❌ Unexpected status {resp.status_code}"
             data = resp.json()
-        except Exception as e: return f"❌ Failed: {str(e)}"
+        except Exception as e: return f"❌ Connection failed: {str(e)}"
 
         results = data.get("results", [])
-        if not results: return f"No usage found for {r_start} to {r_end}."
+        metadata = data.get("metadata", {})
+        if not results: return f"No cost data found for {r_start} to {r_end}."
 
-        spends = [d.get("metrics", {}).get("spend", 0) for d in results]
+        # Totals
+        total_spend = metadata.get("total_spend", 0)
+        total_prompt = metadata.get("total_prompt_tokens", 0)
+        total_completion = metadata.get("total_completion_tokens", 0)
+        total_tokens = metadata.get("total_tokens", 0)
+        cache_read = metadata.get("total_cache_read_input_tokens", 0)
+        
+        # Sparkline
+        spends = [day.get("metrics", {}).get("spend", 0) for day in results]
         def get_spark(vals):
             if len(vals) < 2: return ""
             chars = " ▂▃▄▅▆▇█"
@@ -183,80 +211,109 @@ class Tools:
             rng = (high - low) or 1
             return " [" + "".join(chars[int((v - low) / rng * 7)] for v in vals) + "]"
 
-        meta = data.get("metadata", {})
-        lines = [f"LiteLLM Usage Report: {r_start} to {r_end}"]
+        lines = [f"LiteLLM Cost Report: {r_start} to {r_end}"]
         lines.append("=" * 75)
-        lines.append(f"Total Spend:   ${meta.get('total_spend', 0):.2f}{get_spark(spends)}")
-        lines.append(f"Total Tokens:  {meta.get('total_tokens', 0):,} ({meta.get('total_prompt_tokens',0):,} prompt + {meta.get('total_completion_tokens',0):,} completion)")
-        lines.append(f"Requests:      {meta.get('total_successful_requests', 0)} successful, {meta.get('total_failed_requests', 0)} failed")
+        lines.append(f"Total Spend:     ${total_spend:.2f}{get_spark(spends)}")
+        lines.append(f"Total Tokens:    {total_tokens:,} ({total_prompt:,} prompt + {total_completion:,} completion)")
         
-        # Model Breakdown
+        if total_prompt > 0 and cache_read > 0:
+            hit_rate = (cache_read / total_prompt) * 100
+            lines.append(f"Cache Hit Rate:  {hit_rate:.1f}% ({cache_read:,} / {total_prompt:,} input tokens)")
+        
+        lines.append(f"Requests:        {metadata.get('total_successful_requests', 0)} ok, {metadata.get('total_failed_requests', 0)} fail")
+
+        # Model Aggregation
         model_totals = {}
         for day in results:
             models = day.get("breakdown", {}).get("models", {})
             for m_name, m_data in models.items():
-                metrics = m_data.get("metrics", {})
+                m_metrics = m_data.get("metrics", {})
                 if m_name not in model_totals:
-                    model_totals[m_name] = {"spend": 0, "reqs": 0, "tokens": 0}
-                model_totals[m_name]["spend"] += metrics.get("spend", 0)
-                model_totals[m_name]["reqs"] += metrics.get("successful_requests", 0)
-                model_totals[m_name]["tokens"] += metrics.get("total_tokens", 0)
+                    model_totals[m_name] = {"spend": 0, "reqs": 0, "tokens": 0, "cache": 0}
+                model_totals[m_name]["spend"] += m_metrics.get("spend", 0)
+                model_totals[m_name]["reqs"] += m_metrics.get("successful_requests", 0)
+                model_totals[m_name]["tokens"] += m_metrics.get("total_tokens", 0)
+                model_totals[m_name]["cache"] += m_metrics.get("cache_read_input_tokens", 0)
 
-        lines.append(f"\n{'Model':30s} | {'Spend':>10s} | {'Requests':>12s} | {'Tokens':>12s}")
+        lines.append(f"\n{'Model':30s} | {'Spend':>10s} | {'Requests':>14s} | {'Tokens':>12s}")
         lines.append("-" * 75)
-        sorted_models = sorted(model_totals.items(), key=lambda x: x[1]["spend"], reverse=True)
-        hidden = 0
-        for m_name, m_stats in sorted_models:
-            if m_stats["spend"] < 0.001 and self.valves.default_hide_zero_spend:
-                hidden += 1
-                continue
-            display = m_name.split("/")[-1][:30]
-            lines.append(f"  {display:28s} | ${m_stats['spend']:9.2f} | {m_stats['reqs']:10d} ok | {m_stats['tokens']:10,d}")
-        if hidden: lines.append(f"  ... ({hidden} models with sub-$0.001 spend hidden)")
         
-        lines.append(f"\n{'Endpoint':30s} | {'Spend':>10s} | {'Requests':>12s}")
-        lines.append("-" * 60)
-        ends = results[0].get("breakdown", {}).get("endpoints", {}) if results else {}
-        for path, edata in sorted(ends.items(), key=lambda x: x[1].get("metrics",{}).get("spend",0), reverse=True):
-            m = edata.get("metrics", {})
-            lines.append(f"  {path:28s} | ${m.get('spend',0):9.4f} | {m.get('successful_requests',0):10d} ok")
+        hidden_count = 0
+        sorted_models = sorted(model_totals.items(), key=lambda x: x[1]["spend"], reverse=True)
+        for name, mt in sorted_models:
+            if effective_hide and mt["spend"] < 0.001:
+                hidden_count += 1
+                continue
+            display = name.replace("gemini/", "").replace("openai/", "")[:30]
+            cache_info = ""
+            if mt["cache"] > 0:
+                hit = (mt["cache"] / (mt["tokens"] or 1) * 100)
+                cache_info = f" 💾{hit:.0f}%"
+            
+            lines.append(f"  {display:28s} | ${mt['spend']:9.2f} | {mt['reqs']:6d} ok     | {mt['tokens']:10,d}{cache_info}")
+        
+        if hidden_count: lines.append(f"  ... ({hidden_count} model(s) with sub-$0.001 spend hidden)")
+
+        # Date breakdown
+        lines.append("\nBy Date:")
+        for day in results:
+            m = day.get("metrics", {})
+            lines.append(f"  {day.get('date')}: ${m.get('spend',0):.2f} | {m.get('successful_requests',0)} ok | {m.get('total_tokens',0):,} tokens")
 
         return "\n".join(lines)
 
-    def litellm_history(self, limit: int = 20, filter_model: Optional[str] = None) -> str:
-        """Get recent request logs with audit data and thought detection."""
-        if not self.valves.litellm_master_key: return "❌ Master key required."
+    def litellm_history(self, limit: int = 20, show_failed: bool = True) -> str:
+        """
+        Get recent LiteLLM request history with audit data and thought detection.
+        Returns a high-density table of recent requests.
+        """
+        if not self.valves.litellm_master_key:
+            return "❌ Master key required for request history."
+
         try:
             resp = requests.get(f"{self._base_url()}/spend/logs", headers=self._headers(), timeout=30)
-            if resp.status_code != 200: return f"❌ Error {resp.status_code}"
+            if resp.status_code != 200: return f"❌ Unexpected status {resp.status_code}"
             logs = sorted(resp.json(), key=lambda x: x.get("startTime", ""), reverse=True)
-        except Exception as e: return f"❌ Failed: {str(e)}"
+        except Exception as e: return f"❌ Connection failed: {str(e)}"
 
-        if filter_model:
-            logs = [l for l in logs if filter_model.lower() in l.get("model", "").lower()]
+        if not show_failed:
+            logs = [l for l in logs if not l.get("metadata", {}).get("exception")]
         
         recent = logs[:max(1, min(50, limit))]
-        lines = [f"LiteLLM History — {self._base_url()}", "=" * 105]
+        lines = [f"LiteLLM Request History — {self._base_url()}"]
+        lines.append(f"Showing {len(recent)} of {len(logs)} total requests")
+        lines.append("=" * 105)
 
         for i, entry in enumerate(recent, 1):
-            ts = entry.get("startTime", "?")[5:16]
-            model = entry.get("model", "unknown").split("/")[-1][:25]
+            start_time = entry.get("startTime", "?")[5:16] # MM-DD HH:MM
+            model = entry.get("model", "unknown").split("/")[-1][:28]
             spend = entry.get("spend", 0)
             prompt = entry.get("prompt_tokens", 0) or 0
             completion = entry.get("completion_tokens", 0) or 0
             
+            # Metadata & Status
+            meta = entry.get("metadata", {}) or {}
+            is_failed = bool(meta.get("exception")) or meta.get("status") == "failure"
+            status = "❌ FAIL" if is_failed else "✅ OK"
+            
+            # Advanced Tokens
             usage = entry.get("usage", {}) or {}
             thought = usage.get("completion_tokens_details", {}).get("reasoning_tokens", 0)
             thought_str = f" [💭{thought}]" if thought else ""
             cached = entry.get("cache_read_input_tokens", 0) or 0
             cache_str = f" 💾{int(cached/prompt*100)}%" if prompt and cached else ""
             
-            audit = self._audit_cost(entry.get("model"), prompt, cached, completion, spend, reasoning=thought)
-            status = "✅" if not entry.get("metadata", {}).get("exception") else "❌"
-            
+            # Format numbers
             p_s = f"{prompt/1000:.1f}k" if prompt >= 1000 else str(prompt)
             c_s = f"{completion/1000:.1f}k" if completion >= 1000 else str(completion)
             
-            lines.append(f"{i:2d}. {ts} {status} | {model:25s} | ${spend:.4f}{audit:18s} | {p_s:>6s}→{c_s:<6s}{thought_str}{cache_str}")
+            audit = self._audit_cost(entry.get("model"), prompt, cached, completion, spend, reasoning=thought)
+            
+            line = f"  {i:2d}. {start_time} | {model:28s} | {status} | ${spend:.4f}{audit:18s} | {p_s:>6s}→{c_s:<6s}{thought_str}{cache_str}"
+            lines.append(line)
+            
+            if is_failed:
+                err = meta.get("exception", "unknown error")
+                lines.append(f"      └─ {err[:80]}")
 
         return "\n".join(lines)