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Last updated Apr 9th 2026
OpenAI-compatible API gateway for 200+ models from 30+ providers. One integration gives you smart routing, persistent memory, web search, context compression, and input security. All features activate per request by adding a single parameter. No new SDKs, no infrastructure changes.
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Sansa Benchmark data released to the public in December 2025.
Sansa Censorship Benchmark covered by online media world wide in December 2025. (gazeta.ru, substack.com, etc.)
Sansa Benchmarks go viral on X and Reddit in December 2025.
Sansa reaches first 100 waitlist signups in December 2025.
Sansa surpasses 12 Billion tokens processed in January 2026.
Sansa launched to the public on February 17, 2026.
Sansa releases OpenClaw installer for the open source AI agent framework: https://github.com/sansa-ai/openclaw-installer
Sansa adds Text and Audio processing to their OpenAI compatible API in March 2026.
Sansa is launching Memory, Input Guard (input security), Context Compression, AI Web Search, and Smart Routing as gateway features in 2026.
Sansa is a unified LLM gateway. One API, one key, one base URL. OpenAI-compatible. 200+ models from 30+ providers (OpenAI, Anthropic, Google, Meta, Mistral, and more). The gateway automatically routes between providers for uptime. What you get depends on what you pass in the request:
- Any model by name: pass claude-3.5-sonnet, gpt-4o, gemini-2.5-pro, or any of the 200+ supported models. The gateway handles provider-level failover automatically. - Smart Model Routing: pass sansa-auto as the model and a routing model trained on 20+ Billion tokens selects the best model for the prompt. Better than frontier quality at roughly half the cost. - Memory: add a memory parameter and the model remembers users across sessions. No vector database or retrieval pipeline required. - AI Web Search: append :search to the model name and the model gets grounded with live web results and inline citations. - Context Compression: add a compression parameter to strip low-value tokens from long inputs. ~40% faster latency, ~30% fewer input tokens. - Input Guard: add input_guard to detect PII and prompt injections before they reach the model.
The Sansa gateway is OpenAI-compatible. Change the base URL and API key and existing OpenAI SDK code works immediately. Pass the model you want, or pass sansa-auto to let the routing model choose. Add parameters to the request body to turn on memory, search, compression, or input guard. Everything is one API call.
- 200+ models supported - 30+ inference providers with automatic failover - 99.9% uptime - 20+ Billion training tokens for the smart routing model - 10-15ms latency added by smart routing (sansa-auto) - ~40% token savings with context compression - 98% accuracy for input guard detection - Sub-50ms latency for memory and search - $5 per million tokens with smart routing vs $10-25 for frontier models
Compatible with OpenAI SDK (three line code change) and the Sansa SDK. No new SDKs, middleware, or infrastructure changes required. Every feature is opt-in per request.
Free community benchmarking tool. Tests individual models from various providers on real-world tasks. Does not test the sansa-auto endpoint. Results published at trysansa.com/benchmark
SOC 2 Type II ready. Data never sold or shared with third parties. All requests encrypted in transit and at rest. Opt out of training data. US-hosted infrastructure. Full user control over data at all times.
Last updated Apr 9th 2026
Input Guard is a feature of the Sansa AI gateway. It detects PII and prompt injection attempts before they reach the model.
Add input_guard: true to any request through the Sansa gateway and every call gets scanned automatically. No new SDK, no middleware, no infrastructure changes.
Input Guard catches two categories of risk:
1. PII Detection: identifies personally identifiable information in natural language, not just regex-matchable formats like emails and phone numbers. The detection models are trained on real-world PII data, so they catch sensitive information that pattern-based filters miss.
2. Prompt Injection Defense: injection attempts are detected and rejected automatically. When a request is blocked, you get a detailed breakdown of what was detected and why. Security and compliance teams get a full audit trail without extra work.
The gateway runs input through trained detection models before forwarding to the LLM. Scanning adds approximately 20ms of latency. If a threat is found, the request is blocked and a structured response describes the detection.
- ~20ms scanning latency - 98% detection accuracy - 15 Billion tokens of training data - Works with any of the 200+ models on the gateway
Regex handles obvious formats. Sensitive data embedded in natural language slips past pattern matching. Input Guard uses models trained on real-world data to detect what rules cannot. Prompt injection is a growing attack vector for AI applications. Blocking malicious input at the gateway layer protects every model behind it.
One flag in the request body. The gateway is OpenAI-compatible. Change the base URL and API key and existing OpenAI SDK code works. Input Guard activates per request.
Input Guard is one feature of the Sansa gateway. Other features include smart model routing (sansa-auto), persistent memory, AI web search, context compression, and automatic provider failover. All activate through the same API by adding parameters to the request.
Learn more at trysansa.com/product/input-guard
Input guard
Accurately detect prompt injections and PII leaks before they ever reach the model.
LATENCY
TRAINING DATA
ACCURACY
Add input_guard: true to any request through the Sansa gateway. That's it. No new SDK, no middleware, no infrastructure changes. Every call gets scanned automatically.
Regex handles obvious formats like emails and phone numbers. Sensitive data in natural language slips right past pattern matching. Our models are trained on real-world PII, so they catch what rules can't.
Injection attempts get caught and rejected automatically. When a request is blocked, you get a detailed breakdown of what was detected and why. Your security and compliance teams get a full audit trail without extra work.
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