Multi-Model Reasoning Router

OrchestrAI

Route every query to the optimal reasoning approach. OrchestrAI analyzes incoming requests in real time and dispatches them to the best-fit model or reasoning engine — symbolic, case-based, neural, or hybrid — based on complexity, cost constraints, and latency requirements. Reduce API costs by up to 60% without sacrificing answer quality.

Start BuildingView Documentation

Key Features

Everything you need to integrate OrchestrAI into your production systems.

Intelligent Routing

Classify query complexity and automatically select the optimal reasoning engine. Simple factual lookups go to fast models; multi-step reasoning goes to deep thinkers.

Multi-Model Comparison

Run the same query across multiple models in parallel and return the highest-confidence answer. Built-in consensus scoring identifies when models agree and when they diverge.

Confidence Scoring

Every response includes a calibrated confidence score derived from model agreement, reasoning chain coherence, and historical accuracy on similar query types.

Fallback Chains

Define cascading fallback strategies. If the primary model times out or returns low confidence, OrchestrAI automatically escalates to the next model in the chain.

API Endpoints

Production-ready REST API endpoints. All requests require a valid API key in the Authorization header.

POST
/api/v1/orchestrai/route

Route a query to the optimal model. Accepts a query string, optional constraints (max_cost, max_latency, preferred_models), and returns the routed response with metadata.

POST
/api/v1/orchestrai/compare

Run a query across multiple models simultaneously. Returns ranked responses with individual confidence scores, consensus analysis, and a recommended best answer.

Example Request

curl
curl -X POST \
  https://api.bolor.ai/api/v1/orchestrai/route \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
  "query": "Your input here",
  "options": {
    "max_latency_ms": 5000,
    "min_confidence": 0.8
  }
}'

Use Cases

See how teams are using OrchestrAI in production today.

01

Complex Decision Support

Financial institutions use OrchestrAI to route risk assessment queries to symbolic reasoning for rule-based checks and neural models for pattern recognition, combining both for comprehensive analysis.

02

Research Analysis

Research teams route literature review queries to cost-effective models and reserve expensive deep-reasoning models for hypothesis evaluation and experimental design, cutting costs while maintaining rigor.

03

Multi-Perspective Reasoning

Legal teams use the compare endpoint to get multiple model perspectives on contract clauses, identifying consensus interpretations and flagging areas where models disagree for human review.

Start Building with OrchestrAI

Get your API key and make your first call in under 5 minutes. Free tier includes 100 requests per hour.

Get Started FreeRead the Docs