Spend that is measured, not promised
Semantic cache, compression by content type and model routing. Budgets per project, team and key, overspend alerts and chargeback.
- Semantic cache
- Smart compression
- Model routing
- Budgets & chargeback
AI trust platform
The control plane for enterprise AI agents.
Every call routed, every exchange traced, every policy enforced before the model answers.
- tokens, up to
- −45%
- tokens, up to
- varies by workload, measured per run
- lines of code to change
- 0
- lines of code to change
- OpenAI & Anthropic compatible
- models in the catalogue
- 800+
- models in the catalogue
- one gateway, every provider
- on-premise possible
- 100%
- on-premise possible
- containerised runtime
Works with the stack your teams already run
OpenAIAnthropicGeminiMistralLlamaDeepSeekGrokOllamaLangChainLangGraphCrewAIn8nLibreChatClaude Code
Product tour
See the console in under a minute.
The agentic graph, real KPIs, compression, FinOps and Zero Trust policies: the TokenSaver console, as your teams will use it.
Architecture
One control plane. Enforcement on the data path.
The only inline enforcement on the request/response path
PII, secrets and injections are handled on the same request: before a prompt reaches the model, and before a response reaches your developers.
Use the gateway you already run
LiteLLM, Agentgateway or native TokenSaver. OpenAI and Anthropic compatible, zero line of code to change.
TokenSaver control plane
Observability
FinOps
Governance
Cyber
TokenSaver runtime · model agnostic · 100% on-premise possible
Policy enforcement↓↑Telemetry
Your data plane
Agents
⇄TokenSaver gateway
⇄Models & MCP tools
Auditable by design
Every decision is recorded with who triggered it and what happened. Signed traces, ready for your SIEM and the EU AI Act.
Fleet intelligence
A unified view of every agent, every developer, every token and every euro spent.
The agentic graph
See every agent. Steer every exchange.
Agents, models and MCP tools in one live graph: what each call costs, which policy applied, and the replay of any run for audit.
Agentic graphLive
AgentsModelsMCP tools
Illustrative simulation of a governed fleet. In the product, the same graph is built from your real traffic.
Three pillars
Optimise every token. Audit every agent.
Finally see what your agents do
Every exchange between agents, models and MCP tools in one interactive graph. Live steering, and replay of any run for audit.
- Agent hierarchy
- Run timeline
- Step detail & tokens
- Replay
The policy applies before the model
Zero Trust by default: PII and secrets filtered, injections blocked, tool allowlists, exportable traces for your SIEM.
- Default deny
- Anti-injection
- PII, PHI & secrets
- Signed traces
New · 100% free · No API key
Open source · MIT · tokensaver-egress
Your Claude Code plan, now observable.
Use your existing subscription, for example your Claude Code plan, through TokenSaver: no LLM API key needed, 100% free. A lightweight local proxy; traffic still goes to the real provider and every run shows up in the console.
Prefer your own LLM keys? tokensaver-cli gives you BYOK and every TokenSaver feature from the terminal. →Building your own app? tokensaver-sdk brings the control plane to your Python code. →$ pip install -U tokensaver-egress
$ tokensaver-egress setup
$ tokensaver-egress claude
# every call now shows up in the console
Experience the AI control plane.
Personalised demo, governed 30-day POC, Early Adopter pricing.
Member of La French Tech Aix-Marseille