Spend fewer tokens. Lose less context.

Route, compress, cache, and budget every request before it hits the model.

Live request trace measured

Incoming context1,248 tokensrepo diff + test output + user prompt

Engine decisionroute + compactdiff_context_selection + model_route

Final payload815 tokensquality guard intact

Cost delta-73.3%

Latency delta-41 ms

Quality signalretained

Beforetool output x3, full diff, full retry log, sonnet

Afterunique failure window, active file diff, haiku

Observed route win73.3% less spend

factual QA request routed from sonnet to haiku

Token waste removed433 input tokens

diff, tool output, and repeated context compaction

Quality postureeval-backed

shadow labels, validation, and traceable ledger rows

Core system

One repeated grammar. Every request.

Ingest the request, select the smallest viable path, preserve the important context, then write the evidence back to the ledger.

Route less. keep more.

Score each request, preserve protected workloads, and move only the traffic that can safely run cheaper.

Preserve signal. cut waste.

Trim repeated logs, stale diffs, dead repo context, and oversized output budgets before the model ever sees them.

Measure every decision.

Every request lands in the immutable ledger with route, spend delta, token delta, and risk context attached.

Benchmarks

Show the delta early.

The product has to prove lower cost, lower waste, and preserved quality before it earns trust.

WorkloadBaselineOptimizedDeltaQuality

factual QA$0.000213$0.000057-73.3%retained

repo diff triage340 extra tokenstrimmed before forward-340 tokensguarded

test failure replay93 repeated tokensunique failure signature-93 tokensretained

How it works

Optimize every request before it hits the model.

Ingest

Read the request, classify the workload, and fingerprint the expensive parts.

Select

Choose the smallest viable context set, cache reuse path, and model tier.

Preserve

Apply safe compression only where the engine can explain why quality should hold.

Measure

Write the outcome, cost delta, and route trace back to the ledger and live layer.

Built with SkalpelAI

Concrete workloads, not vague claims.

Long-context agents

Trim stale turns, repeated evidence, and oversized budgets before each reasoning hop.

Repo indexing and coding agents

Fold repeated tool output, select only the active file graph, and keep routing conservative for code-heavy work.

Multi-step tool calls

Compact repeated planner chatter while preserving the tool outputs that actually change the next step.

Eval pipelines

Use the same traces and ledger rows to compare baseline vs optimized behavior without blind savings claims.

Get early access

We're rolling this out to a small group first.

Drop your email and we'll reach out as soon as your spot opens up.