Merge pull request 'chore: fix biome noExcessiveCognitiveComplexity warnings' (#458) from fix/444-biome-complexity-warnings into main

This commit is contained in:
2026-05-24 07:30:41 +00:00
2 changed files with 292 additions and 83 deletions
@@ -19,7 +19,14 @@ mock.module("../src/tools/index.js", () => ({
getBuiltinTools: () => [],
}));
import { executeTurnTools, runBuiltinLoop, shouldNudge } from "../src/loop.js";
import {
executeTurnTools,
extractFinalText,
runBuiltinLoop,
shouldInjectDeadlineWarning,
shouldNudge,
shouldProcessToolCalls,
} from "../src/loop.js";
const fakeProvider = {} as any;
const fakeToolCtx = {} as any;
@@ -154,3 +161,96 @@ describe("runBuiltinLoop integration", () => {
expect(original.length).toBe(1);
});
});
describe("shouldInjectDeadlineWarning", () => {
test("5.1 returns true when turn count reaches warning threshold and not yet warned", () => {
expect(shouldInjectDeadlineWarning(7, 10, false, false)).toBe(true);
});
test("5.2 returns false when already warned", () => {
expect(shouldInjectDeadlineWarning(7, 10, true, false)).toBe(false);
});
test("5.3 returns false when noTools is true", () => {
expect(shouldInjectDeadlineWarning(7, 10, false, true)).toBe(false);
});
test("5.4 returns false when turns remaining > DEADLINE_WARNING_TURNS", () => {
expect(shouldInjectDeadlineWarning(5, 10, false, false)).toBe(false);
});
test("5.5 returns true when exactly at warning threshold", () => {
expect(shouldInjectDeadlineWarning(7, 10, false, false)).toBe(true);
});
test("5.6 returns false when turns remaining is 0", () => {
expect(shouldInjectDeadlineWarning(10, 10, false, false)).toBe(false);
});
});
describe("shouldProcessToolCalls", () => {
test("6.1 returns true when toolCalls present and noTools=false", () => {
expect(shouldProcessToolCalls([{ id: "x", name: "read", arguments: "{}" }], false)).toBe(true);
});
test("6.2 returns false when toolCalls is null", () => {
expect(shouldProcessToolCalls(null, false)).toBe(false);
});
test("6.3 returns false when toolCalls is empty array", () => {
expect(shouldProcessToolCalls([], false)).toBe(false);
});
test("6.4 returns false when noTools=true", () => {
expect(shouldProcessToolCalls([{ id: "x", name: "read", arguments: "{}" }], true)).toBe(false);
});
test("6.5 returns true when multiple tool calls present", () => {
expect(
shouldProcessToolCalls(
[
{ id: "x1", name: "read", arguments: "{}" },
{ id: "x2", name: "write", arguments: "{}" },
],
false,
),
).toBe(true);
});
});
describe("extractFinalText", () => {
test("7.1 returns last assistant message content", () => {
const messages = [
{ role: "system" as const, content: "sys", tool_calls: null },
{ role: "assistant" as const, content: "first", tool_calls: null },
{ role: "assistant" as const, content: "last", tool_calls: null },
];
expect(extractFinalText(messages)).toBe("last");
});
test("7.2 returns empty string when no assistant messages", () => {
expect(extractFinalText([{ role: "system" as const, content: "sys", tool_calls: null }])).toBe(
"",
);
});
test("7.3 skips assistant messages with null content", () => {
const messages = [
{ role: "assistant" as const, content: "first", tool_calls: null },
{
role: "assistant" as const,
content: null,
tool_calls: [{ id: "x", name: "t", arguments: "{}" }],
},
{ role: "assistant" as const, content: "second", tool_calls: null },
];
expect(extractFinalText(messages)).toBe("second");
});
test("7.4 skips assistant messages with empty content", () => {
const messages = [
{ role: "assistant" as const, content: "first", tool_calls: null },
{ role: "assistant" as const, content: "", tool_calls: null },
{ role: "user" as const, content: "nudge", tool_calls: null },
];
expect(extractFinalText(messages)).toBe("first");
});
test("7.5 handles empty messages array", () => {
expect(extractFinalText([])).toBe("");
});
test("7.6 handles messages with only user and system roles", () => {
const messages = [
{ role: "system" as const, content: "sys", tool_calls: null },
{ role: "user" as const, content: "query", tool_calls: null },
];
expect(extractFinalText(messages)).toBe("");
});
});
+191 -82
View File
@@ -1,7 +1,12 @@
import type { ResolvedLlmProvider } from "@uncaged/workflow-agent-kit";
import { createLogger } from "@uncaged/workflow-util";
import { type ChatMessage, chatCompletionWithTools, type LlmToolCall } from "./llm/index.js";
import {
type ChatMessage,
chatCompletionWithTools,
type LlmToolCall,
type OpenAiToolDefinition,
} from "./llm/index.js";
import { appendSessionTurn } from "./session.js";
import {
builtinToolsToOpenAi,
@@ -80,10 +85,184 @@ export type ShouldNudgeOptions = {
const MAX_NUDGES = 3;
const DEADLINE_WARNING_TURNS = 3;
export function shouldInjectDeadlineWarning(
turn: number,
maxTurns: number,
alreadyWarned: boolean,
noTools: boolean,
): boolean {
const turnsRemaining = maxTurns - turn;
return (
!noTools && !alreadyWarned && turnsRemaining > 0 && turnsRemaining <= DEADLINE_WARNING_TURNS
);
}
export function shouldProcessToolCalls(toolCalls: LlmToolCall[] | null, noTools: boolean): boolean {
return !noTools && toolCalls !== null && toolCalls.length > 0;
}
export function extractFinalText(messages: ChatMessage[]): string {
for (let i = messages.length - 1; i >= 0; i--) {
const msg = messages[i];
if (
msg !== undefined &&
msg.role === "assistant" &&
msg.content !== null &&
msg.content.trim() !== ""
) {
return msg.content;
}
}
return "";
}
function injectDeadlineWarning(messages: ChatMessage[], turnsRemaining: number): void {
log("4NRXW6KT", `${turnsRemaining} turns remaining, injecting deadline warning`);
messages.push({
role: "user",
content:
`⚠️ You have ${turnsRemaining} turns remaining. ` +
"Wrap up your work and output the YAML frontmatter starting with `---`. " +
"If you cannot finish in time, output frontmatter with `status: failed` and describe what remains.",
});
}
type HandleTextOnlyTurnResult = {
shouldBreak: boolean;
finalText: string;
turnCount: number;
nudgeCount: number;
turnAdjustment: number;
};
async function handleTextOnlyTurn(
text: string,
messages: ChatMessage[],
storageRoot: string,
sessionId: string,
noTools: boolean,
turn: number,
maxTurns: number,
currentNudgeCount: number,
): Promise<HandleTextOnlyTurnResult> {
await appendTurn(storageRoot, sessionId, {
role: "assistant",
content: text,
toolCalls: null,
reasoning: null,
});
const turnCount = 1;
let nudgeCount = currentNudgeCount;
let turnAdjustment = 0;
if (shouldNudge({ noTools, text, turn, maxTurns })) {
nudgeCount += 1;
log("7FXQM2KN", `text-only turn without frontmatter, nudge ${nudgeCount}/${MAX_NUDGES}`);
const nudge =
"You stopped calling tools but your response does not start with the required `---` YAML frontmatter. " +
"Either continue using tools to complete your work, or output your final response starting with `---`.";
messages.push({ role: "user", content: nudge });
// Nudge doesn't consume turn budget (up to MAX_NUDGES)
if (nudgeCount <= MAX_NUDGES) {
turnAdjustment = -1;
}
return { shouldBreak: false, finalText: "", turnCount, nudgeCount, turnAdjustment };
}
return { shouldBreak: true, finalText: text, turnCount, nudgeCount, turnAdjustment };
}
async function handleToolCallTurn(
content: string,
toolCalls: LlmToolCall[],
messages: ChatMessage[],
storageRoot: string,
sessionId: string,
toolCtx: ToolContext,
): Promise<number> {
await appendTurn(storageRoot, sessionId, {
role: "assistant",
content,
toolCalls: mapToolCallsForPayload(toolCalls),
reasoning: null,
});
let turnCount = 1;
// Execute tools
turnCount += await executeTurnTools(toolCalls, toolCtx, messages, storageRoot, sessionId);
return turnCount;
}
export function shouldNudge({ noTools, text, turn, maxTurns }: ShouldNudgeOptions): boolean {
return !noTools && !text.trimStart().startsWith("---") && turn < maxTurns - 1;
}
type ProcessLoopIterationResult = {
shouldBreak: boolean;
finalText: string;
turnCount: number;
nudgeCount: number;
turnAdjustment: number;
};
async function processLoopIteration(
options: RunBuiltinLoopOptions,
messages: ChatMessage[],
openAiTools: OpenAiToolDefinition[],
turn: number,
nudgeCount: number,
): Promise<ProcessLoopIterationResult> {
const response = await chatCompletionWithTools(
options.provider,
messages,
openAiTools.length > 0 ? openAiTools : null,
);
// When noTools is set, ignore any tool_calls the LLM might still return
const effectiveToolCalls = options.noTools ? null : (response.toolCalls ?? null);
const assistantMessage: ChatMessage = {
role: "assistant",
content: response.content,
tool_calls: effectiveToolCalls,
};
messages.push(assistantMessage);
if (!shouldProcessToolCalls(effectiveToolCalls, options.noTools)) {
const text = response.content ?? "";
const result = await handleTextOnlyTurn(
text,
messages,
options.storageRoot,
options.sessionId,
options.noTools,
turn,
options.maxTurns,
nudgeCount,
);
return result;
}
// At this point, effectiveToolCalls is guaranteed to be non-null and non-empty
const turnCount = await handleToolCallTurn(
response.content ?? "",
effectiveToolCalls as LlmToolCall[],
messages,
options.storageRoot,
options.sessionId,
options.toolCtx,
);
return {
shouldBreak: false,
finalText: "",
turnCount,
nudgeCount,
turnAdjustment: 0,
};
}
/** Agent run loop: LLM ↔ tools until no tool_calls or maxTurns. */
export async function runBuiltinLoop(
options: RunBuiltinLoopOptions,
@@ -99,95 +278,25 @@ export async function runBuiltinLoop(
log("8K2M4N7P", `builtin loop turn ${turn + 1}/${options.maxTurns}`);
// Warn agent when approaching turn limit
const turnsRemaining = options.maxTurns - turn;
if (!options.noTools && !deadlineWarned && turnsRemaining <= DEADLINE_WARNING_TURNS) {
if (shouldInjectDeadlineWarning(turn, options.maxTurns, deadlineWarned, options.noTools)) {
deadlineWarned = true;
log("4NRXW6KT", `${turnsRemaining} turns remaining, injecting deadline warning`);
messages.push({
role: "user",
content:
`⚠️ You have ${turnsRemaining} turns remaining. ` +
"Wrap up your work and output the YAML frontmatter starting with `---`. " +
"If you cannot finish in time, output frontmatter with `status: failed` and describe what remains.",
});
const turnsRemaining = options.maxTurns - turn;
injectDeadlineWarning(messages, turnsRemaining);
}
const response = await chatCompletionWithTools(
options.provider,
messages,
openAiTools.length > 0 ? openAiTools : null,
);
const result = await processLoopIteration(options, messages, openAiTools, turn, nudgeCount);
turnCount += result.turnCount;
nudgeCount = result.nudgeCount;
turn += result.turnAdjustment;
// When noTools is set, ignore any tool_calls the LLM might still return
const effectiveToolCalls = options.noTools ? null : (response.toolCalls ?? null);
const assistantMessage: ChatMessage = {
role: "assistant",
content: response.content,
tool_calls: effectiveToolCalls,
};
messages.push(assistantMessage);
if (effectiveToolCalls === null || effectiveToolCalls.length === 0) {
const text = response.content ?? "";
await appendTurn(options.storageRoot, options.sessionId, {
role: "assistant",
content: text,
toolCalls: null,
reasoning: null,
});
turnCount += 1;
if (shouldNudge({ noTools: options.noTools, text, turn, maxTurns: options.maxTurns })) {
nudgeCount += 1;
log("7FXQM2KN", `text-only turn without frontmatter, nudge ${nudgeCount}/${MAX_NUDGES}`);
const nudge =
"You stopped calling tools but your response does not start with the required `---` YAML frontmatter. " +
"Either continue using tools to complete your work, or output your final response starting with `---`.";
messages.push({ role: "user", content: nudge });
// Nudge doesn't consume turn budget (up to MAX_NUDGES)
if (nudgeCount <= MAX_NUDGES) {
turn -= 1;
}
continue;
}
finalText = text;
if (result.shouldBreak) {
finalText = result.finalText;
break;
}
// Assistant turn with tool calls
await appendTurn(options.storageRoot, options.sessionId, {
role: "assistant",
content: response.content ?? "",
toolCalls: mapToolCallsForPayload(effectiveToolCalls),
reasoning: null,
});
turnCount += 1;
// Execute tools
turnCount += await executeTurnTools(
effectiveToolCalls,
options.toolCtx,
messages,
options.storageRoot,
options.sessionId,
);
}
if (finalText === "" && messages.length > 0) {
for (let i = messages.length - 1; i >= 0; i--) {
const msg = messages[i];
if (
msg !== undefined &&
msg.role === "assistant" &&
msg.content !== null &&
msg.content.trim() !== ""
) {
finalText = msg.content;
break;
}
}
if (finalText === "") {
finalText = extractFinalText(messages);
}
return { finalText, messages, turnCount };