use std::sync::Arc;
use std::sync::atomic::{AtomicUsize, Ordering};
use async_trait::async_trait;
use rustic_ai::{
Agent, FunctionTool, Model, ModelMessage, ModelRequestParameters, ModelResponse,
ModelResponsePart, RequestUsage, RunInput, ToolCallPart, UsageLimits, UserContent,
};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use serde_json::json;
struct SequenceModel {
responses: Arc<Vec<ModelResponse>>,
call_index: AtomicUsize,
}
impl SequenceModel {
fn new(responses: Vec<ModelResponse>) -> Self {
Self {
responses: Arc::new(responses),
call_index: AtomicUsize::new(0),
}
}
}
#[async_trait]
impl Model for SequenceModel {
fn name(&self) -> &str {
"sequence-model"
}
async fn request(
&self,
_messages: &[ModelMessage],
_settings: Option<&rustic_ai::ModelSettings>,
_params: &ModelRequestParameters,
) -> Result<ModelResponse, rustic_ai::model::ModelError> {
let index = self.call_index.fetch_add(1, Ordering::SeqCst);
let response = if index >= self.responses.len() {
self.responses
.last()
.cloned()
.unwrap_or_else(|| text_response(""))
} else {
self.responses[index].clone()
};
Ok(response)
}
}
fn text_response(text: &str) -> ModelResponse {
ModelResponse {
parts: vec![ModelResponsePart::Text(rustic_ai::TextPart {
content: text.to_string(),
})],
usage: None,
model_name: Some("sequence".to_string()),
finish_reason: Some("stop".to_string()),
}
}
fn text_response_with_usage(text: &str, input_tokens: u64, output_tokens: u64) -> ModelResponse {
ModelResponse {
parts: vec![ModelResponsePart::Text(rustic_ai::TextPart {
content: text.to_string(),
})],
usage: Some(RequestUsage {
input_tokens,
output_tokens,
..Default::default()
}),
model_name: Some("sequence".to_string()),
finish_reason: Some("stop".to_string()),
}
}
fn tool_call_response_with_usage(
name: &str,
args: serde_json::Value,
input_tokens: u64,
output_tokens: u64,
) -> ModelResponse {
ModelResponse {
parts: vec![ModelResponsePart::ToolCall(ToolCallPart {
id: "call-1".to_string(),
name: name.to_string(),
arguments: args,
})],
usage: Some(RequestUsage {
input_tokens,
output_tokens,
..Default::default()
}),
model_name: Some("sequence".to_string()),
finish_reason: Some("tool_call".to_string()),
}
}
#[derive(Debug, Clone, Deserialize, JsonSchema)]
struct AddArgs {
a: i32,
b: i32,
}
#[derive(Debug, Clone, Serialize)]
struct AddResult {
sum: i32,
}
fn add_tool() -> FunctionTool<()> {
FunctionTool::new("add", "add two numbers", |_, args: AddArgs| async move {
Ok(AddResult {
sum: args.a + args.b,
})
})
.expect("tool creation should succeed")
}
#[tokio::test]
async fn usage_requests_increments_without_usage_payload() {
let model = Arc::new(SequenceModel::new(vec![text_response("ok")]));
let agent = Agent::new(model);
let input = RunInput::new(
vec![UserContent::Text("hello".to_string())],
vec![],
(),
UsageLimits::default(),
);
let result = agent.run(input).await.expect("run succeeds");
assert_eq!(result.usage.requests, 1);
}
#[tokio::test]
async fn usage_accumulates_tokens_from_payload() {
let model = Arc::new(SequenceModel::new(vec![
tool_call_response_with_usage("add", json!({"a": 1, "b": 2}), 3, 2),
text_response_with_usage("ok", 1, 4),
]));
let mut agent = Agent::new(model);
agent.tool(add_tool());
let input = RunInput::new(
vec![UserContent::Text("hello".to_string())],
vec![],
(),
UsageLimits {
request_limit: Some(2),
..Default::default()
},
);
let result = agent.run(input).await.expect("run succeeds");
assert_eq!(result.usage.requests, 2);
assert_eq!(result.usage.input_tokens, 4);
assert_eq!(result.usage.output_tokens, 6);
}