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chore(gate): fix lint and formatting

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This commit is contained in:
Peter Steinberger
2026-01-18 06:01:09 +00:00
parent d1c85cb32d
commit d4bd387e0e
15 changed files with 244 additions and 231 deletions
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5
src/agents/bootstrap-files.test.ts
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@@ -4,10 +4,7 @@ import path from "node:path";
import { afterEach, beforeEach, describe, expect, it } from "vitest";
import {
resolveBootstrapContextForRun,
resolveBootstrapFilesForRun,
} from "./bootstrap-files.js";
import { resolveBootstrapContextForRun, resolveBootstrapFilesForRun } from "./bootstrap-files.js";
import {
clearInternalHooks,
registerInternalHook,

132
src/agents/pi-embedded-runner.run-embedded-pi-agent.appends-new-user-assistant-after-existing-transcript.test.ts
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@@ -146,78 +146,82 @@ const readSessionMessages = async (sessionFile: string) => {
};
describe("runEmbeddedPiAgent", () => {
it("appends new user + assistant after existing transcript entries", { timeout: 90_000 }, async () => {
const { SessionManager } = await import("@mariozechner/pi-coding-agent");
it(
"appends new user + assistant after existing transcript entries",
{ timeout: 90_000 },
async () => {
const { SessionManager } = await import("@mariozechner/pi-coding-agent");
const agentDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-agent-"));
const workspaceDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-workspace-"));
const sessionFile = path.join(workspaceDir, "session.jsonl");
const agentDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-agent-"));
const workspaceDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-workspace-"));
const sessionFile = path.join(workspaceDir, "session.jsonl");
const sessionManager = SessionManager.open(sessionFile);
sessionManager.appendMessage({
role: "user",
content: [{ type: "text", text: "seed user" }],
});
sessionManager.appendMessage({
role: "assistant",
content: [{ type: "text", text: "seed assistant" }],
stopReason: "stop",
api: "openai-responses",
provider: "openai",
model: "mock-1",
usage: {
input: 1,
output: 1,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 2,
cost: {
input: 0,
output: 0,
const sessionManager = SessionManager.open(sessionFile);
sessionManager.appendMessage({
role: "user",
content: [{ type: "text", text: "seed user" }],
});
sessionManager.appendMessage({
role: "assistant",
content: [{ type: "text", text: "seed assistant" }],
stopReason: "stop",
api: "openai-responses",
provider: "openai",
model: "mock-1",
usage: {
input: 1,
output: 1,
cacheRead: 0,
cacheWrite: 0,
total: 0,
totalTokens: 2,
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
total: 0,
},
},
},
timestamp: Date.now(),
});
timestamp: Date.now(),
});
const cfg = makeOpenAiConfig(["mock-1"]);
await ensureModels(cfg, agentDir);
const cfg = makeOpenAiConfig(["mock-1"]);
await ensureModels(cfg, agentDir);
await runEmbeddedPiAgent({
sessionId: "session:test",
sessionKey: testSessionKey,
sessionFile,
workspaceDir,
config: cfg,
prompt: "hello",
provider: "openai",
model: "mock-1",
timeoutMs: 5_000,
agentDir,
enqueue: immediateEnqueue,
});
await runEmbeddedPiAgent({
sessionId: "session:test",
sessionKey: testSessionKey,
sessionFile,
workspaceDir,
config: cfg,
prompt: "hello",
provider: "openai",
model: "mock-1",
timeoutMs: 5_000,
agentDir,
enqueue: immediateEnqueue,
});
const messages = await readSessionMessages(sessionFile);
const seedUserIndex = messages.findIndex(
(message) => message?.role === "user" && textFromContent(message.content) === "seed user",
);
const seedAssistantIndex = messages.findIndex(
(message) =>
message?.role === "assistant" && textFromContent(message.content) === "seed assistant",
);
const newUserIndex = messages.findIndex(
(message) => message?.role === "user" && textFromContent(message.content) === "hello",
);
const newAssistantIndex = messages.findIndex(
(message, index) => index > newUserIndex && message?.role === "assistant",
);
expect(seedUserIndex).toBeGreaterThanOrEqual(0);
expect(seedAssistantIndex).toBeGreaterThan(seedUserIndex);
expect(newUserIndex).toBeGreaterThan(seedAssistantIndex);
expect(newAssistantIndex).toBeGreaterThan(newUserIndex);
});
const messages = await readSessionMessages(sessionFile);
const seedUserIndex = messages.findIndex(
(message) => message?.role === "user" && textFromContent(message.content) === "seed user",
);
const seedAssistantIndex = messages.findIndex(
(message) =>
message?.role === "assistant" && textFromContent(message.content) === "seed assistant",
);
const newUserIndex = messages.findIndex(
(message) => message?.role === "user" && textFromContent(message.content) === "hello",
);
const newAssistantIndex = messages.findIndex(
(message, index) => index > newUserIndex && message?.role === "assistant",
);
expect(seedUserIndex).toBeGreaterThanOrEqual(0);
expect(seedAssistantIndex).toBeGreaterThan(seedUserIndex);
expect(newUserIndex).toBeGreaterThan(seedAssistantIndex);
expect(newAssistantIndex).toBeGreaterThan(newUserIndex);
},
);
it("persists multi-turn user/assistant ordering across runs", async () => {
const agentDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-agent-"));
const workspaceDir = await fs.mkdtemp(path.join(os.tmpdir(), "clawdbot-workspace-"));

1
src/agents/pi-embedded-runner/compact.ts
View File

@@ -23,7 +23,6 @@ import { getApiKeyForModel, resolveModelAuthMode } from "../model-auth.js";
import { ensureClawdbotModelsJson } from "../models-config.js";
import {
ensureSessionHeader,
resolveBootstrapMaxChars,
validateAnthropicTurns,
validateGeminiTurns,
} from "../pi-embedded-helpers.js";