genai 0.7.0-beta.24

Multi-AI Providers Library for Rust. (OpenAI, Gemini, Anthropic, Ollama, AWS Bedrock, Vertex, Groq, DeepSeek, Kimi, GLM and many more)
Documentation
use super::{DeepSeekAdapter, OllamaAdapter};
use crate::adapter::{Adapter, AdapterKind, ServiceType};
use crate::chat::{ChatOptions, ChatOptionsSet, ChatRequest, ReasoningEffort};
use crate::resolver::{AuthData, Endpoint};
use crate::{ModelIden, ServiceTarget};
use serde_json::Value;

type Result<T> = core::result::Result<T, Box<dyn std::error::Error>>;

// region:    --- DeepSeek

#[test]
fn test_deepseek_managed_body_thinking_enables_non_zero_effort() -> Result<()> {
	// -- Setup & Fixtures
	let reasoning_effort = Some(ReasoningEffort::Max);

	// -- Exec
	let payload = support_deepseek_payload(reasoning_effort)?;

	// -- Check
	assert_eq!(payload["thinking"]["type"], "enabled");
	assert_eq!(payload["reasoning_effort"], "max");

	Ok(())
}

#[test]
fn test_deepseek_managed_body_thinking_disables_zero_effort() -> Result<()> {
	// -- Setup & Fixtures
	let reasoning_effort = Some(ReasoningEffort::Zero);

	// -- Exec
	let payload = support_deepseek_payload(reasoning_effort)?;

	// -- Check
	assert_eq!(payload["thinking"]["type"], "disabled");
	assert!(payload.get("reasoning_effort").is_none());

	Ok(())
}

#[test]
fn test_deepseek_managed_body_thinking_omits_fields_without_effort() -> Result<()> {
	// -- Setup & Fixtures
	let reasoning_effort = None;

	// -- Exec
	let payload = support_deepseek_payload(reasoning_effort)?;

	// -- Check
	assert!(payload.get("thinking").is_none());
	assert!(payload.get("reasoning_effort").is_none());

	Ok(())
}

// endregion: --- DeepSeek

// region:    --- Ollama

#[test]
fn test_ollama_think_omitted_without_effort() -> Result<()> {
	// -- Setup & Fixtures
	let reasoning_effort = None;

	// -- Exec
	let payload = support_ollama_payload(reasoning_effort)?;

	// -- Check
	assert!(payload.get("think").is_none());

	Ok(())
}

#[test]
fn test_ollama_think_disabled_for_zero_effort() -> Result<()> {
	// -- Setup & Fixtures
	let reasoning_effort = Some(ReasoningEffort::Zero);

	// -- Exec
	let payload = support_ollama_payload(reasoning_effort)?;

	// -- Check
	assert_eq!(payload["think"], false);

	Ok(())
}

#[test]
fn test_ollama_think_maps_efforts_to_string_levels() -> Result<()> {
	// Note: Ollama has no "minimal" level, so Minimal maps to "low",
	//       and XHigh/Max both map to "max" (Ollama's highest level).
	for (effort, expected) in [
		(ReasoningEffort::Minimal, "low"),
		(ReasoningEffort::Low, "low"),
		(ReasoningEffort::Medium, "medium"),
		(ReasoningEffort::High, "high"),
		(ReasoningEffort::XHigh, "max"),
		(ReasoningEffort::Max, "max"),
	] {
		// -- Exec
		let payload = support_ollama_payload(Some(effort.clone()))?;

		// -- Check
		assert_eq!(payload["think"], expected, "unexpected think level for {effort:?}");
	}

	Ok(())
}

#[test]
fn test_ollama_think_enabled_for_budget_effort() -> Result<()> {
	// Note: Ollama has no token-budget knob, so Budget enables thinking at the model's default level.
	// -- Setup & Fixtures
	let reasoning_effort = Some(ReasoningEffort::Budget(1024));

	// -- Exec
	let payload = support_ollama_payload(reasoning_effort)?;

	// -- Check
	assert_eq!(payload["think"], true);

	Ok(())
}

// endregion: --- Ollama

// region:    --- Support

fn support_deepseek_payload(reasoning_effort: Option<ReasoningEffort>) -> Result<Value> {
	let chat_options = reasoning_effort.map(|effort| ChatOptions::default().with_reasoning_effort(effort));
	let options_set = ChatOptionsSet::default().with_chat_options(chat_options.as_ref());
	let request = DeepSeekAdapter::to_web_request_data(
		ServiceTarget {
			model: ModelIden::new(AdapterKind::DeepSeek, "deepseek-v4-flash"),
			auth: AuthData::from_single("test-key"),
			endpoint: Endpoint::from_static("https://api.deepseek.com/v1/"),
		},
		ServiceType::Chat,
		ChatRequest::from_user("hello"),
		options_set,
	)?;

	Ok(request.payload)
}

fn support_ollama_payload(reasoning_effort: Option<ReasoningEffort>) -> Result<Value> {
	let chat_options = reasoning_effort.map(|effort| ChatOptions::default().with_reasoning_effort(effort));
	let options_set = ChatOptionsSet::default().with_chat_options(chat_options.as_ref());
	let request = OllamaAdapter::to_web_request_data(
		ServiceTarget {
			model: ModelIden::new(AdapterKind::Ollama, "qwen3"),
			auth: AuthData::from_single("test-key"),
			endpoint: Endpoint::from_static("http://localhost:11434/"),
		},
		ServiceType::Chat,
		ChatRequest::from_user("hello"),
		options_set,
	)?;

	Ok(request.payload)
}

// endregion: --- Support