SemanticGuard
SemanticGuard is an AI control plane and gateway designed to reduce LLM API costs through self-validating semantic caching while providing agent governance. It supports major providers including OpenAI, Anthropic, Google, Azure, Bedrock, and Mistral, and can be integrated with one line of code via the AI SDK fetch wrapper or by setting an environment variable to route Claude Code and Anthropic SDK clients. The platform audits every tool call made by LLM agents, classifies calls by risk (read, write, destructive) in real time, and enforces tenant-specific policies to allow, deny, or require approval. It also provides full attribution through headers such as x-sg-user-id, x-sg-agent-run-id, and x-sg-workspace-tag. Governance features are complemented by caching: a shadow mode measures potential savings on real traffic before caching is enabled, and the cache uses multi-layer verification and continuous AI-judged sampling, achieving a reported 50% median savings and 100% cache correctness on its public benchmark. SemanticGuard is offered as a freemium service with sign-up and dashboard access. It targets developers and enterprises seeking to cut API spend and gain visibility into agent actions, with upcoming features like human-in-loop approval, blast-radius previews, and MCP-layer proxy listed on its roadmap.
- Category
- LLM
- Pricing
- Freemium
Problem solved
SemanticGuard addresses the dual challenge of rising LLM API costs and lack of governance/auditability for AI agents. It reduces spending by caching semantically similar LLM responses and enforces policy on tool calls, preventing destructive actions while providing full audit trails.
Use cases
- Reduce LLM API costs with semantic caching for OpenAI, Anthropic, and Google
- Audit tool calls from Claude Code and Anthropic SDK clients
- Enforce risk-based policies to block destructive tool calls
- Measure potential savings in shadow mode before enabling caching
- Attribute every LLM action to user, agent run, and workspace for compliance
- Route multiple LLM providers through a single AI gateway
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- One-line integration with AI SDK and Claude Code
- Self-validating semantic cache with 100% measured correctness
- Built-in agent tool call auditing and policy enforcement
- Shadow mode to preview savings without changing production behavior
- Supports major LLM providers (OpenAI, Anthropic, Google, Azure, Bedrock, Mistral)
Cons
- Advanced governance features like human-in-loop approval are still on the roadmap
- Caching savings depend on request similarity and traffic patterns
- Freemium tier may have usage limits requiring a paid plan for larger workloads
- Initial governance integration focuses primarily on Claude Code and Anthropic SDK clients
Official website: https://www.semanticguard.dev/
Canonical LambdaBase page: https://www.lambdabase.com/tools/semanticguard