Inference controls for more reliable LLM systems
Concordance offers inference-time scaffolding to modify token generation at each step of inference, giving developers new control levers for their agentic systems.
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Token interventions provide new control levers for developers
Treat your LLM like software—program conditional states while the model still exercises its best judgement. Concordance composes multiple interventions into a single stream-safe flow.
Flows
Forced tokens let the model prompt itself, guiding reasoning through each phase. Wrap complex agent steps in a reusable flow and apply it across prompts or tools.
JIT context
Load context only when the model needs it. Inject references, execute the task, then drop the tokens to keep the window light.
Custom schemas
Enforce exact structures across markdown, spreadsheets, SQL, or your own DSL. Concordance validates fields and retries automatically when the model drifts.
Custom sampling
Adaptive temperatures are already standard in proprietary inference. Bring them to your open-source stack with per-token sampling strategies and backtracking controls.
Blog posts
Deep dives into the Concordance stack, Tau2 benchmarks, and the research behind token-level control.
FAQ
A few of the common questions we hear while onboarding teams.
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