EvalMesh
Gateway Online (12ms)
Acme Corp
SIGNATURE METRIC
Overall AI Reliability Score
94/100
+4 pts this week
Accuracy
98%
Hallucination
99.8%
Safety WAF
100%
Cost Score
92%
Latency Score
95%
Tool Success
100%
AI Requests
1.2M
+12% this month
Blocked Attacks
189
100% WAF Mitigation
Money Saved
$1,284
82% Semantic Cache
Proxy Latency
12 ms
Sub-15ms Target
Success Rate
99.98%
Healthy SLA
Security Score
96/100
Grade A+ Enterprise
Real-Time Request Volume & Latency Trend
SLA: 99.99%
The 4 Core Pillars Overview
πŸ›‘οΈ Security & Guardrails: Real-Time WAF, PII DLP, Tool RBAC
⚑ Cost & Performance: <5ms Semantic Cache, Smart Router, Loop Breaker
πŸ‘οΈ Observability & DevTools: Session Replay, Agent Graph, OTel Spans
🏒 Enterprise & Governance: SOC 2 / HIPAA Exporters, SSO/SCIM, PostgreSQL
1. Select or Type Sample Prompt Test
Agent Role: support_agent Model: gpt-4o
2. Real-Time Gateway Output & Audit Trace
Select a sample test prompt above or click "Run Live Gateway Test" to inspect real-time security scanning.
Prompt Injection WAF & PII Redactor Interactive Suite
[WAF ENGINE]: Active | 189 Attacks Blocked Today | 0 False Positives [PII DLP]: Redacting Emails, Credit Cards, SSNs, and IP Addresses before LLM egress.
IF role == "support_agent" AND tool_called == "delete_database" THEN BLOCK (403 Forbidden) IF action_cost > $10,000 THEN PAUSE_AGENT AND REQUEST_HUMAN_APPROVAL (Require 2 Approvers)
Semantic Prompt Cache & Smart Router Engine
[SEMANTIC CACHE]: 82% Hit Rate | $1,284 Saved | Average Latency: 3ms [SMART ROUTER]: Auto-downgraded 14,000 simple prompts from GPT-4o to GPT-4o-mini (Saved ~90% cost).
πŸ’‘ Insight: Routing FAQ queries to DeepSeek-V3 saves $820/month. [HA FAILOVER]: Active Chain -> OpenAI βž” Anthropic βž” DeepSeek βž” Ollama Local
Trace ID: trace_session_994821 β”œβ”€β”€ 1. User Request ("My credit card is 4111-2222-3333-4444") β”œβ”€β”€ 2. [EvalMesh DLP] Redacted -> "My credit card is [REDACTED_CREDIT_CARD]" β”œβ”€β”€ 3. [EvalMesh WAF] Jailbreak Scan -> PASS └── 4. Output -> Safe response generated in 12ms.
[AI COPILOT DEBUGGER]: * Root Cause: Agent loop caused by missing output JSON schema boundary. * Resolution: Wrap agent with @guardrail decorator (evalmesh.sdk).
SOC 2 Audit Exporter Status: ACTIVE | Cryptographic SHA-256 Tamper Proof Signature Enabled
PRODUCT POSITIONING & VISION
"EvalMesh is the control plane for production AI applications. It evaluates, secures, routes, monitors, and improves every AI request before it reaches your users."
Developers don't just get another proxy β€” they get a unified control plane that eliminates hours of manual testing, spreadsheet comparisons, and unexpected security incidents.

Key Problems Solved & Time Saved

1. AI Evaluation (Hours β†’ Minutes)
❌ Without: Manual testing of 100+ cases taking 2–4 hours.
βœ… With: 1-Click automated evaluation showing pass/fail & hallucination metrics.
Saves 3+ Hours / Release
2. Multi-Model Comparison
❌ Without: Copying outputs from OpenAI, Claude, Gemini into spreadsheets.
βœ… With: Single evaluation runs side-by-side across all models automatically.
Saves 60 Mins / Comparison
3. Prompt Version Tracking
❌ Without: Searching Git commit history for working prompts.
βœ… With: Every prompt version stored with its exact evaluation scores.
Instant 1-Click Rollback
4. Security & Data Protection
❌ Without: Users discover prompt leaks in production.
βœ… With: Real-Time WAF & PII DLP redact data & block jailbreaks inline.
Zero Production Vulnerabilities

The 10-Step Automated Pipeline

1
Step 1 β€” Connect AI Providers
Securely connect OpenAI, Anthropic, Gemini, Grok, DeepSeek, Ollama, & custom models into Encrypted Vault.
2
Step 2 β€” Connect the Application
Change single base URL endpoint to EvalMesh Gateway (http://localhost:8000/v1/chat/completions).
3
Step 3 β€” 10-Tier Request Pipeline Processing
Auth & Rate Limiter βž” Semantic Cache βž” Smart Cost Router βž” Circuit Breaker βž” WAF Firewall βž” PII DLP βž” Tool RBAC βž” Provider Gateway βž” Auto Evaluation.
4
Step 4 β€” Automatic Evaluation
Records Input/Output, Latency, Cost, Tokens, Model, Safety Score, & Hallucination Metrics automatically.
5
Step 5 β€” Regression Detection
Detects accuracy drops (e.g. 97% βž” 84%) instantly before customers notice.
6
Step 6 β€” Side-by-Side Multi-Model Comparison
Run one benchmark evaluation across GPT-5, Claude, Gemini, Llama, & DeepSeek simultaneously.
7
Step 7 β€” Deployment Protection (CI/CD Quality Gate)
GitHub Actions integration: Prompt changes undergo automated evaluation suite; blocks broken prompts from deploying.
8
Step 8 β€” Continuous Executive Monitoring
Real-time monitoring of requests, latency, cache hit rate, blocked injections, and estimated spend.
9
Step 9 β€” Multi-Channel Alerts
Instant alerts via Slack, Email, Discord, & PagerDuty when latency spikes or provider errors occur.
10
Step 10 β€” Automated Governance & Quality Reports
Generates automated weekly PDF/HTML reports detailing AI Quality, Cost Analysis, Security Incidents, & Hallucination Trends.
Step 1 of 7 β€” Create Organization & Workspace 14% Complete
🏒 Step 1 β€” Create Organization & Workspace

Setup your primary multi-tenant organization, workspace, and team roles.