IntentSharp

Overview

IntentSharp is a .NET library developed by C2Consultants that provides strongly typed, rule-validated artificial intelligence model calls for C# applications. It integrates directly into .NET workflows to convert unstructured input into native objects while validating responses against defined schemas and business logic. The system manages parse, check, and retry loops to handle model hallucinations and schema mismatches before code executes.

Key Features

• Strongly typed output — Maps model responses directly into native C# classes, records, lists, or custom types wrapped in a structured result container.
• Automated check and retry loop — Evaluates model output against programmed rules and automatically feeds failure messages back to the model within set attempt limits.
• Broad model support — Connects to OpenAI, Anthropic, or any provider implementing Microsoft's IChatClient abstraction across .NET 8, 9, and 10.
• File-based intent management — Stores intents, schema shapes, and checkpoints in versioned, reversible files that can be updated without recompiling application code.
• Pre-call validation and caching — Inspects inputs, applies caching rules, and enforces character limits up to 200,000 characters before initiating external model requests.
• Native code integration — Enables execution through attributes such as AIIntent on methods or via extension methods like TransformAsync and AIAsync on existing values.

Who It's For

IntentSharp is designed for .NET software developers, enterprise engineers, and backend teams building AI-powered features into C# applications. It is particularly relevant for organizations handling messy, semi-structured inputs like invoices, emails, and data tables that require deterministic output types. Teams building coding agents or customer-specific business rule pipelines also benefit from its decoupled file definitions.

Notable Strengths

IntentSharp distinguishes itself by working directly with modern .NET standards, operating across .NET 8, 9, and 10 via standard IChatClient interfaces. Instead of relying on opaque model confidence scores, its validation layer runs strictly in programmatic code and provides targeted error feedback directly back to LLMs when checks fail. Additionally, it offers straightforward commercial developer licensing starting at $349 per developer per year with a 30-day evaluation period.