AI Application
Claude Code
OpenCode
Codex CLI
Token management For the agentic era
Cut your LLM bills, increase long-horizon task success and session value. Keep your tools, providers and keys.
Built for teams turning agents into durable engineering leverage.
Unmanaged context
With Sleev
Sleev's optimization pipeline runs locally in the background
01What Is Sleev
A local context optimization layer for your agentic stack
A local context optimization
layer for your agentic stack
Sleev's gateway sits between your applications and providers, managing and optimizing session context in a cache-efficient manner. Optimizations run in the background and don't disrupt your workflows. The result: cheaper sessions that last longer while remaining in the smart zone, where attention naturally maps to signal.
Sleev gateway
Runs on your infra
Unmanaged context With Sleev
Provider
Anthropic
OpenAI
OpenRouter
Same tools Same providers Same keys
02Cost problem
The most valuable agent sessions are also the most expensive
As agents get more capable, they also get more expensive to run. Bigger context windows and longer sessions inherently turn progress into compounding token spend. Sleev is on a mission to fix this.
- Unmanaged agentic work is margin loss.
- The overage hides inside normal agent work.
Regular agentic session
Unmanaged session
With Sleev
Every request sends full history, compounding costs
T01
T02
T03
T04
T05
T06
T07
New request
Re-sent history
03Quality problem
Smaller context is not better context
Less only helps when the right context survives. Pruning, compaction, and heuristic-based compression can remove the wrong things: constraints, decisions, tool results... A good system has to distinguish disposable material from load-bearing one before it cuts.
Naive
Compaction
Compaction is one-shot, heavily lossy, and disrupts the flow.
Heuristic-based
Pruning
Compression
Some methods trim the oldest, largest, or everything first, and can be blind to what context the task still depends on.
Sleev
AI-assisted
Adaptive compression
Sleev's background optimization targets low-signal material while preserving task-critical data.
Anatomy of a long session with Sleev
Context window
Recent edits 24K
Current goals 22K
/ 20K
Constraints 26K
/ 26K
Relevant errors 20K
/ 25K
Tool outputs 17K
/ 113K
Stale explorations 7K
/ 88K
Logs, retries, debugging 5K
/ 47K
Preserved
Compressed
Context size
-73%
Unmanaged context 440K tokens
With Sleev 121K tokens
04Session value
Long sessions become durable
The longer the session, the more Sleev matters. It slows cost compounding while preserving the context agents need to stay productive. Sleev turns long sessions from a liability into leverage: sharper context, better accumulated learning, and more durable agent work.
Cost growth flattens
Context quality holds
Session value compounds
Session value over time
With Sleev
Unmanaged session
06Pilot
Validate Sleev
in your environment
Define a window, compare against your cost baseline, and survey users and workflows.
01
Pilot
5–20 Engineers
2–4 weeks
Same tools
Same keys
02
Measure
Savings Token and cost delta
Adoption Real usage beyond first impressions
Confidence Enough clean data to make a decision
03
Decide
Roll out
Savings and adoption are strong enough to expand.
Tune
Savings are real, usage needs work
Stop
Pilot does not earn its place
07Pricing
Predictable billing, measurable upside No token tax
$80
Per seat/mo
+ request-based billing
What counts as a billable request?
Sleev charges per request, based on which model is used (see pricing). Billable requests only apply after the optimization pipeline kicks in, usually around a context window of 60,000 tokens.
How do we forecast the monthly bill?
Use last month's request count by model, then plug those numbers into our pricing calculator.
Can we cap usage during the pilot?
Yes. Give us a pilot ceiling and we'll work with you to keep usage inside it.
What usage data do we get?
You can access real-time data through our CLI, TUI, and website dashboard: model, billable requests, token spend, savings, cache hit rate...