4K
text
decisions
Not listed
About this model
Span-01 is Respan's reasoning classifier designed for evaluating LLM and AI-agent traces against arbitrary behavior definitions written in natural language. Instead of generating text token by token, Span-01 processes a conversation trace and multiple behavior definitions in a single forward pass and returns calibrated probabilities indicating whether each behavior is present, absent, or not observable from the available evidence. It is trained for general classification reasoning and specialized for behavior detection, supporting use cases such as agent evaluation, guardrails, prompt-injection detection, hallucination monitoring, tool-misuse detection, user-frustration detection, escalation routing, safety monitoring, and large-scale production observability. Its architecture uses hyper-parallel definition branches and hybrid attention to efficiently evaluate multiple behaviors across long and complex traces.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.020 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.020 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
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- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/decisions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "respan/span-01", "state": { "task": "Delete inactive customer accounts" }, "questions": { "approve": { "type": "noul", "instructions": "Is this action safe to run automatically?", "criteria": { "true": "Reversible or low impact", "false": "Destructive or requires approval" } } } }'
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