mirror of
https://github.com/farion1231/cc-switch.git
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3c3d417457
* Enable Codex goals in provider templates * feat: add Codex goal mode toggle - Remove forced goals=true from Codex provider presets and custom templates. - Add a Codex provider editor switch that updates [features].goals on demand. - Update docs, i18n, and regression coverage for the optional Goal mode flow. --------- Co-authored-by: Jason <farion1231@gmail.com>
408 lines
12 KiB
TypeScript
408 lines
12 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import {
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extractCodexBaseUrl,
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extractCodexExperimentalBearerToken,
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extractCodexModelName,
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extractCodexTopLevelInt,
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isCodexGoalModeEnabled,
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removeCodexTopLevelField,
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setCodexBaseUrl,
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setCodexGoalMode,
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setCodexModelName,
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setCodexTopLevelInt,
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updateCodexExperimentalBearerToken,
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} from "@/utils/providerConfigUtils";
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describe("Codex TOML utils", () => {
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it("removes base_url line when set to empty", () => {
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const input = [
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'model_provider = "openai"',
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'base_url = "https://api.example.com/v1"',
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'model = "gpt-5-codex"',
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"",
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].join("\n");
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const output = setCodexBaseUrl(input, "");
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expect(output).not.toMatch(/^\s*base_url\s*=/m);
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expect(extractCodexBaseUrl(output)).toBeUndefined();
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expect(extractCodexModelName(output)).toBe("gpt-5-codex");
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});
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it("removes only the top-level model line when set to empty", () => {
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const input = [
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'model_provider = "openai"',
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'base_url = "https://api.example.com/v1"',
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'model = "gpt-5-codex"',
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"",
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"[profiles.default]",
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'model = "profile-model"',
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"",
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].join("\n");
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const output = setCodexModelName(input, "");
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expect(output).not.toMatch(/^model\s*=\s*"gpt-5-codex"$/m);
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expect(output).toMatch(/^\[profiles\.default\]\nmodel = "profile-model"$/m);
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expect(extractCodexModelName(output)).toBeUndefined();
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expect(extractCodexBaseUrl(output)).toBe("https://api.example.com/v1");
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});
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it("updates existing values when non-empty", () => {
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const input = [
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'model_provider = "openai"',
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"base_url = 'https://old.example/v1'",
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'model = "old-model"',
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"",
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].join("\n");
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const output1 = setCodexBaseUrl(input, " https://new.example/v1 \n");
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expect(extractCodexBaseUrl(output1)).toBe("https://new.example/v1");
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const output2 = setCodexModelName(output1, " new-model \n");
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expect(extractCodexModelName(output2)).toBe("new-model");
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});
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it("reads and writes base_url in the active provider section", () => {
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const input = [
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'model_provider = "custom"',
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'model = "gpt-5.4"',
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"",
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"[model_providers.custom]",
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'name = "custom"',
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'wire_api = "responses"',
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"",
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"[profiles.default]",
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'approval_policy = "never"',
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"",
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].join("\n");
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const output = setCodexBaseUrl(input, "https://api.example.com/v1");
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expect(output).toContain(
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'[model_providers.custom]\nname = "custom"\nwire_api = "responses"\nbase_url = "https://api.example.com/v1"',
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);
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expect(extractCodexBaseUrl(output)).toBe("https://api.example.com/v1");
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});
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it("recovers a single misplaced base_url from another section", () => {
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const input = [
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'model_provider = "custom"',
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'model = "gpt-5.4"',
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"",
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"[model_providers.custom]",
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'name = "custom"',
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'wire_api = "responses"',
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"",
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"[profiles.default]",
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'approval_policy = "never"',
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'base_url = "https://wrong.example/v1"',
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"",
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].join("\n");
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expect(extractCodexBaseUrl(input)).toBe("https://wrong.example/v1");
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const output = setCodexBaseUrl(input, "https://fixed.example/v1");
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expect(output).toContain(
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'[model_providers.custom]\nname = "custom"\nwire_api = "responses"\nbase_url = "https://fixed.example/v1"',
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);
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expect(output).not.toContain("https://wrong.example/v1");
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expect(output.match(/base_url\s*=/g)).toHaveLength(1);
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});
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it("does not treat mcp_servers base_url as provider base_url", () => {
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const input = [
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'model_provider = "azure"',
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'model = "gpt-4"',
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"",
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"[model_providers.azure]",
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'name = "Azure OpenAI"',
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'wire_api = "responses"',
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"",
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"[mcp_servers.my_server]",
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'base_url = "http://localhost:8080"',
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"",
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].join("\n");
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expect(extractCodexBaseUrl(input)).toBeUndefined();
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const output = setCodexBaseUrl(input, "https://new.azure/v1");
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expect(output).toContain(
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'[model_providers.azure]\nname = "Azure OpenAI"\nwire_api = "responses"\nbase_url = "https://new.azure/v1"',
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);
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expect(output).toContain(
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'[mcp_servers.my_server]\nbase_url = "http://localhost:8080"',
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);
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});
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it("reads model only from the top-level config", () => {
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const input = [
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'model_provider = "custom"',
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"",
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"[profiles.default]",
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'model = "profile-model"',
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"",
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].join("\n");
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expect(extractCodexModelName(input)).toBeUndefined();
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});
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it("handles single-quoted values", () => {
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const input = "base_url = 'https://api.example.com/v1'\nmodel = 'gpt-5'\n";
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expect(extractCodexBaseUrl(input)).toBe("https://api.example.com/v1");
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expect(extractCodexModelName(input)).toBe("gpt-5");
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});
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it("reads, writes, and removes top-level integer metadata fields", () => {
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const input = [
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'model_provider = "custom"',
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'model = "deepseek-v4-flash"',
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"",
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"[model_providers.custom]",
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'name = "DeepSeek"',
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"",
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].join("\n");
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const withContext = setCodexTopLevelInt(
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input,
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"model_context_window",
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128000,
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);
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const withCompact = setCodexTopLevelInt(
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withContext,
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"model_auto_compact_token_limit",
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90000,
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);
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expect(extractCodexTopLevelInt(withCompact, "model_context_window")).toBe(
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128000,
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);
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expect(
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extractCodexTopLevelInt(withCompact, "model_auto_compact_token_limit"),
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).toBe(90000);
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expect(withCompact).toMatch(/^model_context_window = 128000$/m);
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expect(withCompact).toMatch(/^model_auto_compact_token_limit = 90000$/m);
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const removed = removeCodexTopLevelField(
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withCompact,
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"model_context_window",
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);
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expect(
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extractCodexTopLevelInt(removed, "model_context_window"),
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).toBeUndefined();
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expect(removed).toContain("[model_providers.custom]");
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});
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it("adds Goal mode under the top-level features table", () => {
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const input = [
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'model_provider = "custom"',
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'model = "gpt-5.4"',
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"",
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"[model_providers.custom]",
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'name = "custom"',
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"",
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].join("\n");
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const output = setCodexGoalMode(input, true);
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expect(isCodexGoalModeEnabled(output)).toBe(true);
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expect(output).toContain(
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'model = "gpt-5.4"\n\n[features]\ngoals = true\n\n[model_providers.custom]',
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);
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});
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it("removes Goal mode without deleting other feature flags", () => {
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const input = [
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'model_provider = "custom"',
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"",
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"[features]",
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"goals = true",
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"experimental_resume = true",
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"",
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"[model_providers.custom]",
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'name = "custom"',
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"",
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].join("\n");
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const output = setCodexGoalMode(input, false);
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expect(isCodexGoalModeEnabled(output)).toBe(false);
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expect(output).toContain("[features]\nexperimental_resume = true");
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expect(output).not.toMatch(/^\s*goals\s*=/m);
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});
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it("removes the features table when disabling the only Goal mode flag", () => {
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const input = [
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'model_provider = "custom"',
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"",
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"[features]",
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"goals = true",
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"",
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"[model_providers.custom]",
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'name = "custom"',
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"",
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].join("\n");
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const output = setCodexGoalMode(input, false);
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expect(isCodexGoalModeEnabled(output)).toBe(false);
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expect(output).not.toContain("[features]");
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expect(output).toContain("[model_providers.custom]");
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});
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it("preserves feature-section comments when disabling Goal mode", () => {
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const input = [
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'model_provider = "custom"',
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"",
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"[features]",
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"# Keep this note",
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"goals = true",
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"",
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"[model_providers.custom]",
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'name = "custom"',
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"",
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].join("\n");
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const output = setCodexGoalMode(input, false);
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expect(isCodexGoalModeEnabled(output)).toBe(false);
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expect(output).toContain("[features]\n# Keep this note");
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expect(output).not.toMatch(/^\s*goals\s*=/m);
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});
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// P3 回归: 不能在 config 没用 bearer token 模式时, 误为它新增一行
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it("updateCodexExperimentalBearerToken leaves config without the token alone", () => {
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const input = [
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'model_provider = "openai"',
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'base_url = "https://api.example.com/v1"',
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"",
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].join("\n");
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expect(updateCodexExperimentalBearerToken(input, "new-key")).toBe(input);
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expect(updateCodexExperimentalBearerToken(input, "")).toBe(input);
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});
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// P3 回归: bearer 模式下清空 API key 必须真正擦掉 token, 让 pickCodexApiKey 的 fallback 找不到
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it("updateCodexExperimentalBearerToken removes the token line when set to empty", () => {
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const input = [
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'model_provider = "thirdparty"',
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"",
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"[model_providers.thirdparty]",
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'name = "Thirdparty"',
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'base_url = "https://thirdparty.example/v1"',
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'experimental_bearer_token = "old-key"',
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"requires_openai_auth = true",
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"",
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].join("\n");
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const cleared = updateCodexExperimentalBearerToken(input, "");
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expect(extractCodexExperimentalBearerToken(cleared)).toBeUndefined();
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expect(cleared).toMatch(/requires_openai_auth = true/);
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expect(cleared).toMatch(/base_url = "https:\/\/thirdparty\.example\/v1"/);
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});
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it("updateCodexExperimentalBearerToken replaces the token inside the active model_providers section", () => {
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const input = [
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'model_provider = "thirdparty"',
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"",
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"[model_providers.thirdparty]",
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'experimental_bearer_token = "old-key"',
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"",
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].join("\n");
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const updated = updateCodexExperimentalBearerToken(input, "new-key");
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expect(extractCodexExperimentalBearerToken(updated)).toBe("new-key");
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expect(updated).not.toMatch(/old-key/);
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});
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it("updateCodexExperimentalBearerToken escapes basic TOML strings and keeps comments", () => {
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const input = [
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'model_provider = "thirdparty"',
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"",
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"[model_providers.thirdparty]",
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'experimental_bearer_token = "old-key" # vendor token',
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"",
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].join("\n");
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const updated = updateCodexExperimentalBearerToken(input, 'abc"def\\ghi');
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expect(updated).toContain(
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'experimental_bearer_token = "abc\\"def\\\\ghi" # vendor token',
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);
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expect(extractCodexExperimentalBearerToken(updated)).toBe('abc"def\\ghi');
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});
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it("updateCodexExperimentalBearerToken escapes all TOML control characters", () => {
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const input = [
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'model_provider = "thirdparty"',
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"",
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"[model_providers.thirdparty]",
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'experimental_bearer_token = "old-key"',
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"",
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].join("\n");
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const updated = updateCodexExperimentalBearerToken(
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input,
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"a\u0000b\u0001c\u001fd",
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);
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expect(updated).toContain(
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'experimental_bearer_token = "a\\u0000b\\u0001c\\u001fd"',
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);
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expect(extractCodexExperimentalBearerToken(updated)).toBe(
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"a\u0000b\u0001c\u001fd",
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);
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});
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it("updateCodexExperimentalBearerToken can replace an already escaped basic string", () => {
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const input = [
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'model_provider = "thirdparty"',
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"",
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"[model_providers.thirdparty]",
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'experimental_bearer_token = "old\\"key" # vendor token',
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"",
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].join("\n");
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const updated = updateCodexExperimentalBearerToken(input, "new-key");
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expect(updated).toContain(
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'experimental_bearer_token = "new-key" # vendor token',
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);
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expect(extractCodexExperimentalBearerToken(updated)).toBe("new-key");
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});
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it("extractCodexExperimentalBearerToken ignores reserved provider tables", () => {
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const input = [
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'model_provider = "openai"',
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'experimental_bearer_token = "top-level-key"',
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"",
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"[model_providers.openai]",
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'experimental_bearer_token = "stale-table-key"',
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"",
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].join("\n");
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expect(extractCodexExperimentalBearerToken(input)).toBe("top-level-key");
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});
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it("extractCodexExperimentalBearerToken reads only top-level model_provider", () => {
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const input = [
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'experimental_bearer_token = "top-level-key"',
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"",
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"[profiles.work]",
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'model_provider = "fake"',
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"",
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"[model_providers.fake]",
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'experimental_bearer_token = "wrong-key"',
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"",
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].join("\n");
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expect(extractCodexExperimentalBearerToken(input)).toBe("top-level-key");
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});
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});
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