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LatticeFlow AI GO!
GuidesAPI Reference
LatticeFlow AI GO!
Guides
GuidesAPI Reference

EXPLANATIONS

  • Overview
  • Model I/O Types

TUTORIALS

  • My First Evaluation
  • Run Evaluation From AI Atlas
  • How to write a sample-dependent scorer

GUIDES

  • Manage AI Apps
  • Run Evaluation from Atlas
  • Evaluations
    • Download and Upload Evidence
    • Caching
  • Tasks
    • System Tasks
  • Models
    • Integrate Simple Model
    • Integrate Stateful Model Endpoint
    • Integrate Custom Model
    • Model Adapters
  • Datasets
    • Dataset Generators
    • Regenerate Dataset
  • Advanced
    • Secrets
      • Manage Secrets
      • Use Secrets
    • User Management
    • Multi-tenancy Control Plane
    • Python Snippets
  • 🧪Policies
  • 🧪Install Agent Skills

INSTALLATION

  • Command Line Interface
  • Deployment
    • Upgrade
    • Advanced
      • Configuration

REFERENCE

  • CLI
  • AI Apps
  • Run
  • Evaluations
  • Policies
  • Tasks
  • Models
  • Model Adapters
  • Datasets
  • Dataset Generators
  • Config Specification
  • Task Result Logs
  • Trace
  • Metrics
    • Binary Classification
    • F1 Score
    • Frequency
    • Max
    • Mean
    • Min
    • Multiclass Classification
    • Precision
    • Python
    • Recall
    • Standard Deviation
  • Scorers
    • Text Similarity (BLEU Score)
    • Function Call Coverage
    • Labeler (via Model)
    • Model As A Judge Classifier
    • Model Scorer
    • Python Batch Scorer
    • Python Scorer
    • RAG Checker
    • String Equality
    • String Equality (Multiple Choice)
  • Solvers
    • Multi Turn Solver
    • Pass Through Solver
    • Python Solver
    • Single Turn Solver
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Solvers

A solver defines how the model under test is used and how its responses are collected. AI GO! provides declarative solvers for common interaction patterns, and a Python solver for cases that require fully custom logic.