clust
A Rust client for the Anthropic Claude API.
Features
- Full API Coverage: Complete implementation of the Messages API
- Type Safety: Strongly typed request and response structures
- Async/Await: Built on top of
tokio
and reqwest
- Streaming Support: Real-time streaming of responses
- Error Handling: Comprehensive error types and handling
- Builder Pattern: Fluent API for constructing requests
- Cache Control: Support for granular cache control with TTL options
- 1-Hour Caching: Extended cache TTL support for longer caching periods
Installation
Add this to your Cargo.toml
:
[dependencies]
clust = "0.9"
tokio = { version = "1.0", features = ["full"] }
Quick Start
use clust::Client;
use clust::messages::{MessagesRequestBody, ClaudeModel, Message, MaxTokens};
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let client = Client::from_env()?;
let model = ClaudeModel::Claude3Sonnet20240229;
let max_tokens = MaxTokens::new(1024, model)?;
let request_body = MessagesRequestBody {
model,
max_tokens,
messages: vec![Message::user("Hello, Claude!")],
..Default::default()
};
let response = client.create_a_message(request_body).await?;
println!("Response: {}", response.content[0].text());
Ok(())
}
Advanced System Prompts with Cache Control
You can create advanced system prompts with granular cache control for individual content blocks. This allows you to cache specific parts of your system prompt while keeping others dynamic.
use clust::messages::{MessagesRequestBody, ClaudeModel, Message, MaxTokens, SystemPrompt, CacheControl};
let system_prompt = SystemPrompt::from_text_blocks_with_cache_control(vec![
("You are a helpful assistant.", None), (
"You have access to the following information that should be cached: The weather in New York is currently sunny with a temperature of 72°F.",
Some(CacheControl::default()), ),
]);
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("What's the weather like?")],
system: Some(system_prompt),
..Default::default()
};
You can also create content blocks directly with cache control:
use clust::messages::{ContentBlock, TextContentBlock, CacheControl, SystemPrompt};
let content_block = ContentBlock::Text(
TextContentBlock::new_with_cache_control(
"This content will be cached",
CacheControl::default(),
),
);
let system_prompt = SystemPrompt::from_content_blocks(vec![content_block]);
This approach allows for fine-grained control over what gets cached, improving performance and reducing costs for repeated requests with the same content.
1-Hour Caching Support
The library supports extended cache TTL with 1-hour caching periods. When you specify a 1-hour TTL, the client automatically adds the required beta header.
Basic 1-Hour Cache Usage
use clust::messages::{
CacheControl, CacheTtl, ClaudeModel, ContentBlock, MaxTokens, Message,
MessagesRequestBody, Role, SystemPrompt, TextContentBlock,
};
let system_prompt = SystemPrompt::from_text_blocks_with_cache_control(vec![
("You are a helpful assistant.", None), (
"You have access to the following information that should be cached for 1 hour: The weather in New York is currently sunny with a temperature of 72°F.",
Some(CacheControl {
_type: clust::messages::CacheControlType::Ephemeral,
ttl: Some(CacheTtl::OneHour),
}),
),
]);
let message = Message {
role: Role::User,
content: vec![ContentBlock::Text(
TextContentBlock::new_with_cache_control(
"What's the weather like in New York?",
CacheControl {
_type: clust::messages::CacheControlType::Ephemeral,
ttl: Some(CacheTtl::OneHour),
},
),
)],
};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![message],
system: Some(system_prompt),
..Default::default()
};
let response = client.create_a_message(request_body).await?;
if let Some(cache_creation) = response.usage.cache_creation {
println!("5m cache input tokens: {}", cache_creation.ephemeral_5m_input_tokens);
println!("1h cache input tokens: {}", cache_creation.ephemeral_1h_input_tokens);
}
Cache Control Options
The CacheControl
struct supports the following TTL options:
- Default (5 minutes):
CacheControl::default()
or ttl: None
- 5 minutes:
ttl: Some(CacheTtl::FiveMinutes)
- 1 hour:
ttl: Some(CacheTtl::OneHour)
When using 1-hour TTL, the client automatically adds the extended-cache-ttl-2025-04-11
beta header to the request.
Cache Control in Content Blocks
You can apply cache control to individual content blocks:
use clust::messages::{ContentBlock, TextContentBlock, CacheControl, CacheTtl};
let cached_block = ContentBlock::Text(
TextContentBlock::new_with_cache_control(
"This content will be cached for 1 hour",
CacheControl {
_type: clust::messages::CacheControlType::Ephemeral,
ttl: Some(CacheTtl::OneHour),
},
),
);
let short_cached_block = ContentBlock::Text(
TextContentBlock::new_with_cache_control(
"This content will be cached for 5 minutes",
CacheControl {
_type: clust::messages::CacheControlType::Ephemeral,
ttl: Some(CacheTtl::FiveMinutes),
},
),
);
let uncached_block = ContentBlock::Text(TextContentBlock::new("This content won't be cached"));
Streaming
For real-time streaming of responses:
use clust::messages::{MessagesRequestBody, ClaudeModel, Message, MaxTokens, StreamOption};
use tokio_stream::StreamExt;
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Tell me a story")],
stream: Some(StreamOption::ReturnStream),
..Default::default()
};
let mut stream = client.create_a_message_stream(request_body).await?;
while let Some(chunk) = stream.next().await {
match chunk {
Ok(chunk) => {
println!("Chunk: {:?}", chunk);
}
Err(error) => {
eprintln!("Error: {:?}", error);
}
}
}
Error Handling
The library provides comprehensive error handling:
use clust::messages::MessagesError;
match client.create_a_message(request_body).await {
Ok(response) => {
println!("Success: {}", response.content[0].text());
}
Err(MessagesError::ApiError(api_error)) => {
eprintln!("API Error: {}", api_error);
}
Err(MessagesError::ClientError(client_error)) => {
eprintln!("Client Error: {}", client_error);
}
Err(MessagesError::StreamOptionMismatch) => {
eprintln!("Stream option mismatch");
}
}
Builder Pattern
You can use the builder pattern for constructing requests:
use clust::messages::{MessagesRequestBuilder, ClaudeModel, Message};
let request_body = MessagesRequestBuilder::new(ClaudeModel::Claude3Sonnet20240229)
.messages(vec![Message::user("Hello, Claude!")])
.max_tokens(MaxTokens::new(1024, ClaudeModel::Claude3Sonnet20240229)?)
.temperature(Temperature::new(0.7)?)
.build();
Examples
See the examples directory for more detailed usage examples:
API Reference
The request body is defined by clust::messages::MessagesRequestBody
.
See also MessagesRequestBody
for other options.
Basic Usage
use clust::messages::MessagesRequestBody;
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
..Default::default()
};
With System Prompt
use clust::messages::{MessagesRequestBody, SystemPrompt};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
system: Some(SystemPrompt::new("You are a helpful assistant.")),
..Default::default()
};
With Metadata
use clust::messages::{MessagesRequestBody, Metadata, UserId};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
metadata: Some(Metadata::new(UserId::new("user-123"))),
..Default::default()
};
With Stop Sequences
use clust::messages::{MessagesRequestBody, StopSequence};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
stop_sequences: Some(vec![StopSequence::new("END")]),
..Default::default()
};
With Temperature
use clust::messages::{MessagesRequestBody, Temperature};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
temperature: Some(Temperature::new(0.7)?),
..Default::default()
};
With Tools
use clust::messages::{MessagesRequestBody, ToolDefinition};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
tools: Some(vec![ToolDefinition::new("get_weather", "Get the weather")]),
..Default::default()
};
With Top P
use clust::messages::{MessagesRequestBody, TopP};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
top_p: Some(TopP::new(0.9)?),
..Default::default()
};
With Top K
use clust::messages::{MessagesRequestBody, TopK};
let request_body = MessagesRequestBody {
model: ClaudeModel::Claude3Sonnet20240229,
max_tokens: MaxTokens::new(1024, model)?,
messages: vec![Message::user("Hello, Claude!")],
top_k: Some(TopK::new(40)?),
..Default::default()
};
License
Licensed under either of
at your option.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.