# GPT-5 Support in OpenAI SDK
## ✅ **Complete GPT-5 Support Added**
The SDK now includes comprehensive support for all GPT-5 features and capabilities, fully compatible with the Responses API.
### 🚀 **Key Features Implemented**
#### 1. **Model Family Support**
```rust
// All GPT-5 model variants
pub const GPT_5: &str = "gpt-5";
pub const GPT_5_MINI: &str = "gpt-5-mini";
pub const GPT_5_NANO: &str = "gpt-5-nano";
pub const GPT_5_CHAT_LATEST: &str = "gpt-5-chat-latest";
// Dated snapshots for production pinning
pub const GPT_5_2025_01_01: &str = "gpt-5-2025-01-01";
pub const GPT_5_MINI_2025_01_01: &str = "gpt-5-mini-2025-01-01";
pub const GPT_5_NANO_2025_01_01: &str = "gpt-5-nano-2025-01-01";
```
#### 2. **Reasoning Effort Control**
```rust
pub enum ReasoningEffort {
Minimal, // Fastest time-to-first-token
Low, // Balance of speed and quality
Medium, // Default, good for most tasks
High, // Most thorough reasoning
}
// Usage
let response = api.create_reasoned_response(
"gpt-5",
"Complex question here",
ReasoningEffort::High,
Verbosity::Medium
).await?;
```
#### 3. **Verbosity Settings**
```rust
pub enum Verbosity {
Low, // Concise answers
Medium, // Balanced responses
High, // Detailed explanations
}
// Fast, concise response
let response = api.create_fast_response(
"gpt-5",
"What is 42?",
Verbosity::Low
).await?;
```
#### 4. **Chain of Thought (CoT) Support**
```rust
// Multi-turn conversations with previous response ID
let first = api.create_complex_response(input, None).await?;
// Continue with CoT from previous response
if let Some(id) = first.id {
let followup = api.continue_conversation(
"gpt-5",
"Follow-up question",
id, // Passes reasoning to next turn
ReasoningEffort::Low // Less reasoning needed
).await?;
}
```
#### 5. **Optimized Methods for Different Use Cases**
##### For Coding Tasks:
```rust
let response = api.create_coding_response(
"Write a Python function for quicksort",
Verbosity::Medium
).await?;
```
##### For Complex Reasoning:
```rust
let response = api.create_complex_response(
"Analyze this quantum mechanics problem",
Some("Show step-by-step reasoning".to_string())
).await?;
```
##### For Fast Responses:
```rust
let response = api.create_minimal_response(
"gpt-5-nano",
"Classify sentiment: 'Great product!'"
).await?;
```
##### For Cost Optimization:
```rust
let response = api.create_cost_optimized_response(
"Explain photosynthesis"
).await?; // Uses gpt-5-mini
```
##### For High Throughput:
```rust
let response = api.create_high_throughput_response(
"Simple classification task"
).await?; // Uses gpt-5-nano
```
### 📦 **Request Builder Pattern**
Fluent API for building GPT-5 requests:
```rust
let request = GPT5RequestBuilder::new()
.gpt5() // Select model
.input("Your question here")
.instructions("Be concise")
.minimal_reasoning() // Fastest reasoning
.low_verbosity() // Short answers
.temperature(0.3) // Low randomness
.max_tokens(100) // Limit output
.previous_response(prev_id) // Chain of thought
.build()?;
```
### 🎯 **Model Selection Helper**
Automatic model selection based on use case:
```rust
// Get recommended model for task type
let model = GPT5ModelSelector::for_complex_reasoning(); // gpt-5
let model = GPT5ModelSelector::for_cost_optimized(); // gpt-5-mini
let model = GPT5ModelSelector::for_high_throughput(); // gpt-5-nano
let model = GPT5ModelSelector::for_coding(); // gpt-5
let model = GPT5ModelSelector::for_chat(); // gpt-5-chat-latest
// Migration recommendations
let new_model = GPT5ModelSelector::migration_from("o3"); // gpt-5
let new_model = GPT5ModelSelector::migration_from("gpt-4.1"); // gpt-5
```
### 🔧 **Integration with Existing Features**
GPT-5 features work seamlessly with:
- **Function Calling**: Minimal reasoning for tool selection
- **Custom Tools**: Grammar-constrained outputs
- **Structured Outputs**: JSON schema validation
- **Streaming**: Real-time token generation (coming soon)
- **Batch API**: Process multiple GPT-5 requests efficiently
### 📊 **Performance Guidelines**
| Simple Q&A | gpt-5-nano | Minimal | Low | Fastest, cheapest |
| Code Generation | gpt-5 | Medium | Medium-High | Best quality |
| Complex Analysis | gpt-5 | High | High | Most thorough |
| Chat Applications | gpt-5-chat-latest | Low-Medium | Medium | Optimized for conversation |
| Cost-Sensitive | gpt-5-mini | Low | Medium | Good balance |
### 🚀 **Quick Start Example**
```rust
use openai_rust_sdk::{
api::GPT5Api,
models::gpt5::{ReasoningEffort, Verbosity, models},
};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let api = GPT5Api::new(std::env::var("OPENAI_API_KEY")?)?;
// Fast response with minimal reasoning
let quick = api.create_minimal_response(
models::GPT_5_NANO,
"What's 2+2?"
).await?;
println!("Quick answer: {}", quick.output_text());
// Complex reasoning task
let complex = api.create_complex_response(
"Explain how transformers work in LLMs",
Some("Use analogies suitable for a CS student".to_string())
).await?;
println!("Detailed explanation: {}", complex.output_text());
Ok(())
}
```
### 📝 **Migration from Older Models**
Moving from older models to GPT-5:
| o3 | gpt-5 | Medium-High | Similar reasoning capabilities |
| gpt-4.1 | gpt-5 | Minimal-Low | Faster with better results |
| o4-mini | gpt-5-mini | Low-Medium | Cost-optimized alternative |
| gpt-4.1-nano | gpt-5-nano | Minimal | High-throughput replacement |
### ✨ **Best Practices**
1. **Use minimal reasoning** for simple tasks to reduce latency
2. **Set low verbosity** when you just need the answer
3. **Use previous_response_id** for multi-turn conversations to avoid re-reasoning
4. **Pin to specific model snapshots** in production (e.g., `gpt-5-2025-01-01`)
5. **Choose the right model** for your use case (complexity vs. cost vs. speed)
6. **Combine with function calling** using minimal reasoning for tool selection
7. **Add preambles** in instructions for better tool calling accuracy
### 🔌 **Full API Compatibility**
All GPT-5 features are compatible with the Responses API endpoints:
- `/v1/responses` - Main endpoint for GPT-5 models
- Supports all parameters: `reasoning`, `text`, `previous_response_id`
- Works with tools, structured outputs, and streaming
- Maintains backward compatibility with existing code
The SDK is now fully equipped to leverage GPT-5's advanced capabilities for complex reasoning, code generation, and agentic tasks with optimal performance settings.