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import { OpenAIService } from "../src/openai-service";
import type { ChatCompletionRequest, ToolDefinition } from "../src/types";
describe("Rate Limiting and Error Handling", () => {
let openAIService: OpenAIService;
beforeEach(() => {
openAIService = new OpenAIService();
});
const sampleTools: ToolDefinition[] = [
{
type: "function",
function: {
name: "get_current_time",
description: "Get the current time",
},
},
{
type: "function",
function: {
name: "calculate",
description: "Perform mathematical calculations",
parameters: {
type: "object",
properties: {
expression: {
type: "string",
description: "Mathematical expression to evaluate",
},
},
required: ["expression"],
},
},
},
];
describe("Duck.ai API Error Handling", () => {
it("should handle rate limiting gracefully with fallback", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "What time is it?" }],
tools: sampleTools,
tool_choice: "required",
};
// Mock Duck.ai to throw rate limit error
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () => {
throw new Error("429 Too Many Requests");
};
try {
const response = await openAIService.createChatCompletion(request);
// Should still work with fallback mechanism
expect(response.choices[0].finish_reason).toBe("tool_calls");
expect(response.choices[0].message.tool_calls).toHaveLength(1);
expect(response.choices[0].message.tool_calls![0].function.name).toBe(
"get_current_time"
);
} catch (error) {
// If it throws, it should be handled gracefully
expect(error).toBeInstanceOf(Error);
} finally {
// Restore original method
openAIService["duckAI"].chat = originalChat;
}
});
it("should handle empty responses with tool_choice required", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Calculate 5 + 3" }],
tools: sampleTools,
tool_choice: "required",
};
// Mock Duck.ai to return empty response
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () => "";
const response = await openAIService.createChatCompletion(request);
// Should generate appropriate function call based on user input
expect(response.choices[0].finish_reason).toBe("tool_calls");
expect(response.choices[0].message.tool_calls).toHaveLength(1);
// Should choose calculate function based on the math expression in the message
expect(response.choices[0].message.tool_calls![0].function.name).toBe(
"calculate"
);
// Restore original method
openAIService["duckAI"].chat = originalChat;
});
it("should handle network errors gracefully", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Hello" }],
tools: sampleTools,
};
// Mock Duck.ai to throw network error
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () => {
throw new Error("Network error");
};
try {
await openAIService.createChatCompletion(request);
// If it doesn't throw, that's fine - it means fallback worked
} catch (error) {
// If it throws, the error should be properly handled
expect(error).toBeInstanceOf(Error);
expect((error as Error).message).toContain("Network error");
} finally {
// Restore original method
openAIService["duckAI"].chat = originalChat;
}
});
it("should handle malformed responses from Duck.ai", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Test" }],
tools: sampleTools,
};
// Mock Duck.ai to return malformed response
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () =>
"This is not JSON and not a function call";
const response = await openAIService.createChatCompletion(request);
// Should handle as regular response
expect(response.choices[0].message.role).toBe("assistant");
expect(response.choices[0].message.content).toBe(
"This is not JSON and not a function call"
);
expect(response.choices[0].finish_reason).toBe("stop");
// Restore original method
openAIService["duckAI"].chat = originalChat;
});
it("should handle partial JSON responses", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Test" }],
tools: sampleTools,
};
// Mock Duck.ai to return partial JSON
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () =>
'{"tool_calls": [{"id": "call_1", "type": "function"';
const response = await openAIService.createChatCompletion(request);
// Should handle as regular response since JSON is malformed
expect(response.choices[0].message.role).toBe("assistant");
expect(response.choices[0].finish_reason).toBe("stop");
// Restore original method
openAIService["duckAI"].chat = originalChat;
});
});
describe("Resilience Testing", () => {
it("should handle rapid consecutive requests", async () => {
const requests = Array.from({ length: 5 }, (_, i) => ({
model: "gpt-4o-mini",
messages: [{ role: "user", content: `Test message ${i}` }],
tools: sampleTools,
}));
// Mock Duck.ai with varying responses
const originalChat = openAIService["duckAI"].chat;
let callCount = 0;
openAIService["duckAI"].chat = async () => {
callCount++;
if (callCount % 2 === 0) {
throw new Error("Rate limited");
}
return `Response ${callCount}`;
};
const results = await Promise.allSettled(
requests.map((req) => openAIService.createChatCompletion(req))
);
// All requests should either succeed or fail gracefully
results.forEach((result, index) => {
if (result.status === "fulfilled") {
expect(result.value.choices[0].message.role).toBe("assistant");
} else {
expect(result.reason).toBeInstanceOf(Error);
}
});
// Restore original method
openAIService["duckAI"].chat = originalChat;
});
it("should maintain function execution capability during API issues", async () => {
// Test that built-in functions still work even if Duck.ai is down
const toolCall = {
id: "call_1",
type: "function" as const,
function: {
name: "get_current_time",
arguments: "{}",
},
};
const result = await openAIService.executeToolCall(toolCall);
expect(result).toMatch(/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}/);
});
it("should handle streaming errors gracefully", async () => {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Test streaming" }],
stream: true,
};
// Mock Duck.ai to throw error during streaming
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () => {
throw new Error("Streaming error");
};
try {
const stream = await openAIService.createChatCompletionStream(request);
const reader = stream.getReader();
// Should handle error in stream
const { done, value } = await reader.read();
if (value) {
const text = new TextDecoder().decode(value);
expect(text).toContain("data:");
}
} catch (error) {
// Error should be handled gracefully
expect(error).toBeInstanceOf(Error);
} finally {
// Restore original method
openAIService["duckAI"].chat = originalChat;
}
});
});
describe("Fallback Mechanisms", () => {
it("should use intelligent function selection when Duck.ai fails", async () => {
const testCases = [
{
message: "What time is it now?",
expectedFunction: "get_current_time",
},
{
message: "Calculate 15 * 8 + 42",
expectedFunction: "calculate",
},
{
message: "Please compute 2 + 2",
expectedFunction: "calculate",
},
];
// Mock Duck.ai to always fail
const originalChat = openAIService["duckAI"].chat;
openAIService["duckAI"].chat = async () => {
throw new Error("API unavailable");
};
for (const testCase of testCases) {
const request: ChatCompletionRequest = {
model: "gpt-4o-mini",
messages: [{ role: "user", content: testCase.message }],
tools: sampleTools,
tool_choice: "required",
};
try {
const response = await openAIService.createChatCompletion(request);
if (response.choices[0].finish_reason === "tool_calls") {
expect(
response.choices[0].message.tool_calls![0].function.name
).toBe(testCase.expectedFunction);
}
} catch (error) {
// Fallback might not always work, but should not crash
expect(error).toBeInstanceOf(Error);
}
}
// Restore original method
openAIService["duckAI"].chat = originalChat;
});
});
});
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