mirror of
https://github.com/getcompanion-ai/co-mono.git
synced 2026-04-15 20:03:05 +00:00
a055fd4481
- Renamed AppMessage to AgentMessage throughout - New agent-loop.ts with AgentLoopContext, AgentLoopConfig - Removed transport abstraction, Agent now takes streamFn directly - Extracted streamProxy to proxy.ts utility - Removed agent-loop from pi-ai (now in agent package) - Updated consumers (coding-agent, mom) for AgentMessage rename - Tests updated but some consumers still need migration Known issues: - AgentTool, AgentToolResult not exported from pi-ai - Attachment not exported from pi-agent-core - ProviderTransport removed but still referenced - messageTransformer -> convertToLlm migration incomplete - CustomMessages declaration merging not working properly
484 lines
14 KiB
TypeScript
484 lines
14 KiB
TypeScript
import type { AssistantMessage, Model, ToolResultMessage, UserMessage } from "@mariozechner/pi-ai";
|
|
import { getModel } from "@mariozechner/pi-ai";
|
|
import { describe, expect, it } from "vitest";
|
|
import { Agent } from "../src/index.js";
|
|
import { calculateTool } from "./utils/calculate.js";
|
|
|
|
async function basicPrompt(model: Model<any>) {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant. Keep your responses concise.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [],
|
|
},
|
|
});
|
|
|
|
await agent.prompt("What is 2+2? Answer with just the number.");
|
|
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
expect(agent.state.messages.length).toBe(2);
|
|
expect(agent.state.messages[0].role).toBe("user");
|
|
expect(agent.state.messages[1].role).toBe("assistant");
|
|
|
|
const assistantMessage = agent.state.messages[1];
|
|
if (assistantMessage.role !== "assistant") throw new Error("Expected assistant message");
|
|
expect(assistantMessage.content.length).toBeGreaterThan(0);
|
|
|
|
const textContent = assistantMessage.content.find((c) => c.type === "text");
|
|
expect(textContent).toBeDefined();
|
|
if (textContent?.type !== "text") throw new Error("Expected text content");
|
|
expect(textContent.text).toContain("4");
|
|
}
|
|
|
|
async function toolExecution(model: Model<any>) {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant. Always use the calculator tool for math.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [calculateTool],
|
|
},
|
|
});
|
|
|
|
await agent.prompt("Calculate 123 * 456 using the calculator tool.");
|
|
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
expect(agent.state.messages.length).toBeGreaterThanOrEqual(3);
|
|
|
|
const toolResultMsg = agent.state.messages.find((m) => m.role === "toolResult");
|
|
expect(toolResultMsg).toBeDefined();
|
|
if (toolResultMsg?.role !== "toolResult") throw new Error("Expected tool result message");
|
|
const textContent =
|
|
toolResultMsg.content
|
|
?.filter((c) => c.type === "text")
|
|
.map((c: any) => c.text)
|
|
.join("\n") || "";
|
|
expect(textContent).toBeDefined();
|
|
|
|
const expectedResult = 123 * 456;
|
|
expect(textContent).toContain(String(expectedResult));
|
|
|
|
const finalMessage = agent.state.messages[agent.state.messages.length - 1];
|
|
if (finalMessage.role !== "assistant") throw new Error("Expected final assistant message");
|
|
const finalText = finalMessage.content.find((c) => c.type === "text");
|
|
expect(finalText).toBeDefined();
|
|
if (finalText?.type !== "text") throw new Error("Expected text content");
|
|
// Check for number with or without comma formatting
|
|
const hasNumber =
|
|
finalText.text.includes(String(expectedResult)) ||
|
|
finalText.text.includes("56,088") ||
|
|
finalText.text.includes("56088");
|
|
expect(hasNumber).toBe(true);
|
|
}
|
|
|
|
async function abortExecution(model: Model<any>) {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [calculateTool],
|
|
},
|
|
});
|
|
|
|
const promptPromise = agent.prompt("Calculate 100 * 200, then 300 * 400, then sum the results.");
|
|
|
|
setTimeout(() => {
|
|
agent.abort();
|
|
}, 100);
|
|
|
|
await promptPromise;
|
|
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
expect(agent.state.messages.length).toBeGreaterThanOrEqual(2);
|
|
|
|
const lastMessage = agent.state.messages[agent.state.messages.length - 1];
|
|
if (lastMessage.role !== "assistant") throw new Error("Expected assistant message");
|
|
expect(lastMessage.stopReason).toBe("aborted");
|
|
expect(lastMessage.errorMessage).toBeDefined();
|
|
expect(agent.state.error).toBeDefined();
|
|
expect(agent.state.error).toBe(lastMessage.errorMessage);
|
|
}
|
|
|
|
async function stateUpdates(model: Model<any>) {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [],
|
|
},
|
|
});
|
|
|
|
const events: Array<string> = [];
|
|
|
|
agent.subscribe((event) => {
|
|
events.push(event.type);
|
|
});
|
|
|
|
await agent.prompt("Count from 1 to 5.");
|
|
|
|
// Should have received lifecycle events
|
|
expect(events).toContain("agent_start");
|
|
expect(events).toContain("agent_end");
|
|
expect(events).toContain("message_start");
|
|
expect(events).toContain("message_end");
|
|
// May have message_update events during streaming
|
|
const hasMessageUpdates = events.some((e) => e === "message_update");
|
|
expect(hasMessageUpdates).toBe(true);
|
|
|
|
// Check final state
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
expect(agent.state.messages.length).toBe(2); // User message + assistant response
|
|
}
|
|
|
|
async function multiTurnConversation(model: Model<any>) {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [],
|
|
},
|
|
});
|
|
|
|
await agent.prompt("My name is Alice.");
|
|
expect(agent.state.messages.length).toBe(2);
|
|
|
|
await agent.prompt("What is my name?");
|
|
expect(agent.state.messages.length).toBe(4);
|
|
|
|
const lastMessage = agent.state.messages[3];
|
|
if (lastMessage.role !== "assistant") throw new Error("Expected assistant message");
|
|
const lastText = lastMessage.content.find((c) => c.type === "text");
|
|
if (lastText?.type !== "text") throw new Error("Expected text content");
|
|
expect(lastText.text.toLowerCase()).toContain("alice");
|
|
}
|
|
|
|
describe("Agent E2E Tests", () => {
|
|
describe.skipIf(!process.env.GEMINI_API_KEY)("Google Provider (gemini-2.5-flash)", () => {
|
|
const model = getModel("google", "gemini-2.5-flash");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.OPENAI_API_KEY)("OpenAI Provider (gpt-4o-mini)", () => {
|
|
const model = getModel("openai", "gpt-4o-mini");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.ANTHROPIC_API_KEY)("Anthropic Provider (claude-haiku-4-5)", () => {
|
|
const model = getModel("anthropic", "claude-haiku-4-5");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.XAI_API_KEY)("xAI Provider (grok-3)", () => {
|
|
const model = getModel("xai", "grok-3");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.GROQ_API_KEY)("Groq Provider (openai/gpt-oss-20b)", () => {
|
|
const model = getModel("groq", "openai/gpt-oss-20b");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.CEREBRAS_API_KEY)("Cerebras Provider (gpt-oss-120b)", () => {
|
|
const model = getModel("cerebras", "gpt-oss-120b");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.ZAI_API_KEY)("zAI Provider (glm-4.5-air)", () => {
|
|
const model = getModel("zai", "glm-4.5-air");
|
|
|
|
it("should handle basic text prompt", async () => {
|
|
await basicPrompt(model);
|
|
});
|
|
|
|
it("should execute tools correctly", async () => {
|
|
await toolExecution(model);
|
|
});
|
|
|
|
it("should handle abort during execution", async () => {
|
|
await abortExecution(model);
|
|
});
|
|
|
|
it("should emit state updates during streaming", async () => {
|
|
await stateUpdates(model);
|
|
});
|
|
|
|
it("should maintain context across multiple turns", async () => {
|
|
await multiTurnConversation(model);
|
|
});
|
|
});
|
|
});
|
|
|
|
describe("Agent.continue()", () => {
|
|
describe("validation", () => {
|
|
it("should throw when no messages in context", async () => {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "Test",
|
|
model: getModel("anthropic", "claude-haiku-4-5"),
|
|
},
|
|
});
|
|
|
|
await expect(agent.continue()).rejects.toThrow("No messages to continue from");
|
|
});
|
|
|
|
it("should throw when last message is assistant", async () => {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "Test",
|
|
model: getModel("anthropic", "claude-haiku-4-5"),
|
|
},
|
|
});
|
|
|
|
const assistantMessage: AssistantMessage = {
|
|
role: "assistant",
|
|
content: [{ type: "text", text: "Hello" }],
|
|
api: "anthropic-messages",
|
|
provider: "anthropic",
|
|
model: "claude-haiku-4-5",
|
|
usage: {
|
|
input: 0,
|
|
output: 0,
|
|
cacheRead: 0,
|
|
cacheWrite: 0,
|
|
totalTokens: 0,
|
|
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
|
|
},
|
|
stopReason: "stop",
|
|
timestamp: Date.now(),
|
|
};
|
|
agent.replaceMessages([assistantMessage]);
|
|
|
|
await expect(agent.continue()).rejects.toThrow("Cannot continue from message role: assistant");
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.ANTHROPIC_API_KEY)("continue from user message", () => {
|
|
const model = getModel("anthropic", "claude-haiku-4-5");
|
|
|
|
it("should continue and get response when last message is user", async () => {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt: "You are a helpful assistant. Follow instructions exactly.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [],
|
|
},
|
|
});
|
|
|
|
// Manually add a user message without calling prompt()
|
|
const userMessage: UserMessage = {
|
|
role: "user",
|
|
content: [{ type: "text", text: "Say exactly: HELLO WORLD" }],
|
|
timestamp: Date.now(),
|
|
};
|
|
agent.replaceMessages([userMessage]);
|
|
|
|
// Continue from the user message
|
|
await agent.continue();
|
|
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
expect(agent.state.messages.length).toBe(2);
|
|
expect(agent.state.messages[0].role).toBe("user");
|
|
expect(agent.state.messages[1].role).toBe("assistant");
|
|
|
|
const assistantMsg = agent.state.messages[1] as AssistantMessage;
|
|
const textContent = assistantMsg.content.find((c) => c.type === "text");
|
|
expect(textContent).toBeDefined();
|
|
if (textContent?.type === "text") {
|
|
expect(textContent.text.toUpperCase()).toContain("HELLO WORLD");
|
|
}
|
|
});
|
|
});
|
|
|
|
describe.skipIf(!process.env.ANTHROPIC_API_KEY)("continue from tool result", () => {
|
|
const model = getModel("anthropic", "claude-haiku-4-5");
|
|
|
|
it("should continue and process tool results", async () => {
|
|
const agent = new Agent({
|
|
initialState: {
|
|
systemPrompt:
|
|
"You are a helpful assistant. After getting a calculation result, state the answer clearly.",
|
|
model,
|
|
thinkingLevel: "off",
|
|
tools: [calculateTool],
|
|
},
|
|
});
|
|
|
|
// Set up a conversation state as if tool was just executed
|
|
const userMessage: UserMessage = {
|
|
role: "user",
|
|
content: [{ type: "text", text: "What is 5 + 3?" }],
|
|
timestamp: Date.now(),
|
|
};
|
|
|
|
const assistantMessage: AssistantMessage = {
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "text", text: "Let me calculate that." },
|
|
{ type: "toolCall", id: "calc-1", name: "calculate", arguments: { expression: "5 + 3" } },
|
|
],
|
|
api: "anthropic-messages",
|
|
provider: "anthropic",
|
|
model: "claude-haiku-4-5",
|
|
usage: {
|
|
input: 0,
|
|
output: 0,
|
|
cacheRead: 0,
|
|
cacheWrite: 0,
|
|
totalTokens: 0,
|
|
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
|
|
},
|
|
stopReason: "toolUse",
|
|
timestamp: Date.now(),
|
|
};
|
|
|
|
const toolResult: ToolResultMessage = {
|
|
role: "toolResult",
|
|
toolCallId: "calc-1",
|
|
toolName: "calculate",
|
|
content: [{ type: "text", text: "5 + 3 = 8" }],
|
|
isError: false,
|
|
timestamp: Date.now(),
|
|
};
|
|
|
|
agent.replaceMessages([userMessage, assistantMessage, toolResult]);
|
|
|
|
// Continue from the tool result
|
|
await agent.continue();
|
|
|
|
expect(agent.state.isStreaming).toBe(false);
|
|
// Should have added an assistant response
|
|
expect(agent.state.messages.length).toBeGreaterThanOrEqual(4);
|
|
|
|
const lastMessage = agent.state.messages[agent.state.messages.length - 1];
|
|
expect(lastMessage.role).toBe("assistant");
|
|
|
|
if (lastMessage.role === "assistant") {
|
|
const textContent = lastMessage.content
|
|
.filter((c) => c.type === "text")
|
|
.map((c) => (c as { type: "text"; text: string }).text)
|
|
.join(" ");
|
|
// Should mention 8 in the response
|
|
expect(textContent).toMatch(/8/);
|
|
}
|
|
});
|
|
});
|
|
});
|