Merge pull request #4603 from mattiacerutti/fix/openai-codex-model-list

fix(ai): update OpenAI Codex model list
This commit is contained in:
Mario Zechner
2026-05-17 20:54:53 +02:00
committed by GitHub
16 changed files with 148 additions and 179 deletions

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@@ -240,9 +240,6 @@ function applyThinkingLevelMetadata(model: Model<any>): void {
if (model.provider === "openai-codex" && supportsOpenAiXhigh(model.id)) { if (model.provider === "openai-codex" && supportsOpenAiXhigh(model.id)) {
mergeThinkingLevelMap(model, { minimal: "low" }); mergeThinkingLevelMap(model, { minimal: "low" });
} }
if (model.provider === "openai-codex" && model.id === "gpt-5.1-codex-mini") {
mergeThinkingLevelMap(model, { minimal: "medium", low: "medium", medium: "medium", high: "high" });
}
if (model.provider === "openrouter" && model.id.startsWith("inception/mercury-2")) { if (model.provider === "openrouter" && model.id.startsWith("inception/mercury-2")) {
// Mercury 2 in instant mode (reasoning_effort: "none") disables tool calling. // Mercury 2 in instant mode (reasoning_effort: "none") disables tool calling.
// Mark "off" unsupported so the openai-completions provider omits the reasoning param // Mark "off" unsupported so the openai-completions provider omits the reasoning param
@@ -1500,42 +1497,6 @@ async function generateModels() {
const CODEX_CONTEXT = 272000; const CODEX_CONTEXT = 272000;
const CODEX_MAX_TOKENS = 128000; const CODEX_MAX_TOKENS = 128000;
const codexModels: Model<"openai-codex-responses">[] = [ const codexModels: Model<"openai-codex-responses">[] = [
{
id: "gpt-5.1",
name: "GPT-5.1",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 1.25, output: 10, cacheRead: 0.125, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{
id: "gpt-5.1-codex-max",
name: "GPT-5.1 Codex Max",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 1.25, output: 10, cacheRead: 0.125, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{
id: "gpt-5.1-codex-mini",
name: "GPT-5.1 Codex Mini",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 0.25, output: 2, cacheRead: 0.025, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{ {
id: "gpt-5.2", id: "gpt-5.2",
name: "GPT-5.2", name: "GPT-5.2",
@@ -1548,18 +1509,6 @@ async function generateModels() {
contextWindow: CODEX_CONTEXT, contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS, maxTokens: CODEX_MAX_TOKENS,
}, },
{
id: "gpt-5.2-codex",
name: "GPT-5.2 Codex",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 1.75, output: 14, cacheRead: 0.175, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{ {
id: "gpt-5.3-codex", id: "gpt-5.3-codex",
name: "GPT-5.3 Codex", name: "GPT-5.3 Codex",
@@ -1572,6 +1521,18 @@ async function generateModels() {
contextWindow: CODEX_CONTEXT, contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS, maxTokens: CODEX_MAX_TOKENS,
}, },
{
id: "gpt-5.3-codex-spark",
name: "GPT-5.3 Codex Spark",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text"],
cost: { input: 1.75, output: 14, cacheRead: 0.175, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{ {
id: "gpt-5.4", id: "gpt-5.4",
name: "GPT-5.4", name: "GPT-5.4",
@@ -1584,6 +1545,42 @@ async function generateModels() {
contextWindow: CODEX_CONTEXT, contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS, maxTokens: CODEX_MAX_TOKENS,
}, },
{
id: "gpt-5.4-fast",
name: "GPT-5.4 Fast",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 5, output: 30, cacheRead: 0.5, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{
id: "gpt-5.4-mini",
name: "GPT-5.4 mini",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 0.75, output: 4.5, cacheRead: 0.075, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{
id: "gpt-5.4-mini-fast",
name: "GPT-5.4 mini Fast",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text", "image"],
cost: { input: 1.5, output: 9, cacheRead: 0.15, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS,
},
{ {
id: "gpt-5.5", id: "gpt-5.5",
name: "GPT-5.5", name: "GPT-5.5",
@@ -1597,29 +1594,17 @@ async function generateModels() {
maxTokens: CODEX_MAX_TOKENS, maxTokens: CODEX_MAX_TOKENS,
}, },
{ {
id: "gpt-5.4-mini", id: "gpt-5.5-fast",
name: "GPT-5.4 Mini", name: "GPT-5.5 Fast",
api: "openai-codex-responses", api: "openai-codex-responses",
provider: "openai-codex", provider: "openai-codex",
baseUrl: CODEX_BASE_URL, baseUrl: CODEX_BASE_URL,
reasoning: true, reasoning: true,
input: ["text", "image"], input: ["text", "image"],
cost: { input: 0.75, output: 4.5, cacheRead: 0.075, cacheWrite: 0 }, cost: { input: 12.5, output: 75, cacheRead: 1.25, cacheWrite: 0 },
contextWindow: CODEX_CONTEXT, contextWindow: CODEX_CONTEXT,
maxTokens: CODEX_MAX_TOKENS, maxTokens: CODEX_MAX_TOKENS,
}, },
{
id: "gpt-5.3-codex-spark",
name: "GPT-5.3 Codex Spark",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: CODEX_BASE_URL,
reasoning: true,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 128000,
maxTokens: CODEX_MAX_TOKENS,
},
]; ];
allModels.push(...codexModels); allModels.push(...codexModels);

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@@ -7155,58 +7155,6 @@ export const MODELS = {
} satisfies Model<"openai-responses">, } satisfies Model<"openai-responses">,
}, },
"openai-codex": { "openai-codex": {
"gpt-5.1": {
id: "gpt-5.1",
name: "GPT-5.1",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
input: ["text", "image"],
cost: {
input: 1.25,
output: 10,
cacheRead: 0.125,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.1-codex-max": {
id: "gpt-5.1-codex-max",
name: "GPT-5.1 Codex Max",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
input: ["text", "image"],
cost: {
input: 1.25,
output: 10,
cacheRead: 0.125,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.1-codex-mini": {
id: "gpt-5.1-codex-mini",
name: "GPT-5.1 Codex Mini",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
thinkingLevelMap: {"minimal":"medium","low":"medium","medium":"medium","high":"high"},
input: ["text", "image"],
cost: {
input: 0.25,
output: 2,
cacheRead: 0.025,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.2": { "gpt-5.2": {
id: "gpt-5.2", id: "gpt-5.2",
name: "GPT-5.2", name: "GPT-5.2",
@@ -7225,24 +7173,6 @@ export const MODELS = {
contextWindow: 272000, contextWindow: 272000,
maxTokens: 128000, maxTokens: 128000,
} satisfies Model<"openai-codex-responses">, } satisfies Model<"openai-codex-responses">,
"gpt-5.2-codex": {
id: "gpt-5.2-codex",
name: "GPT-5.2 Codex",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"},
input: ["text", "image"],
cost: {
input: 1.75,
output: 14,
cacheRead: 0.175,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.3-codex": { "gpt-5.3-codex": {
id: "gpt-5.3-codex", id: "gpt-5.3-codex",
name: "GPT-5.3 Codex", name: "GPT-5.3 Codex",
@@ -7271,12 +7201,12 @@ export const MODELS = {
thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"}, thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"},
input: ["text"], input: ["text"],
cost: { cost: {
input: 0, input: 1.75,
output: 0, output: 14,
cacheRead: 0, cacheRead: 0.175,
cacheWrite: 0, cacheWrite: 0,
}, },
contextWindow: 128000, contextWindow: 272000,
maxTokens: 128000, maxTokens: 128000,
} satisfies Model<"openai-codex-responses">, } satisfies Model<"openai-codex-responses">,
"gpt-5.4": { "gpt-5.4": {
@@ -7297,9 +7227,27 @@ export const MODELS = {
contextWindow: 272000, contextWindow: 272000,
maxTokens: 128000, maxTokens: 128000,
} satisfies Model<"openai-codex-responses">, } satisfies Model<"openai-codex-responses">,
"gpt-5.4-fast": {
id: "gpt-5.4-fast",
name: "GPT-5.4 Fast",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"},
input: ["text", "image"],
cost: {
input: 5,
output: 30,
cacheRead: 0.5,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.4-mini": { "gpt-5.4-mini": {
id: "gpt-5.4-mini", id: "gpt-5.4-mini",
name: "GPT-5.4 Mini", name: "GPT-5.4 mini",
api: "openai-codex-responses", api: "openai-codex-responses",
provider: "openai-codex", provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api", baseUrl: "https://chatgpt.com/backend-api",
@@ -7315,6 +7263,24 @@ export const MODELS = {
contextWindow: 272000, contextWindow: 272000,
maxTokens: 128000, maxTokens: 128000,
} satisfies Model<"openai-codex-responses">, } satisfies Model<"openai-codex-responses">,
"gpt-5.4-mini-fast": {
id: "gpt-5.4-mini-fast",
name: "GPT-5.4 mini Fast",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"},
input: ["text", "image"],
cost: {
input: 1.5,
output: 9,
cacheRead: 0.15,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
"gpt-5.5": { "gpt-5.5": {
id: "gpt-5.5", id: "gpt-5.5",
name: "GPT-5.5", name: "GPT-5.5",
@@ -7333,6 +7299,24 @@ export const MODELS = {
contextWindow: 272000, contextWindow: 272000,
maxTokens: 128000, maxTokens: 128000,
} satisfies Model<"openai-codex-responses">, } satisfies Model<"openai-codex-responses">,
"gpt-5.5-fast": {
id: "gpt-5.5-fast",
name: "GPT-5.5 Fast",
api: "openai-codex-responses",
provider: "openai-codex",
baseUrl: "https://chatgpt.com/backend-api",
reasoning: true,
thinkingLevelMap: {"xhigh":"xhigh","minimal":"low"},
input: ["text", "image"],
cost: {
input: 12.5,
output: 75,
cacheRead: 1.25,
cacheWrite: 0,
},
contextWindow: 272000,
maxTokens: 128000,
} satisfies Model<"openai-codex-responses">,
}, },
"opencode": { "opencode": {
"big-pickle": { "big-pickle": {

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@@ -276,12 +276,12 @@ describe("AI Providers Abort Tests", () => {
describe("OpenAI Codex Provider Abort", () => { describe("OpenAI Codex Provider Abort", () => {
it.skipIf(!openaiCodexToken)("should abort mid-stream", { retry: 3 }, async () => { it.skipIf(!openaiCodexToken)("should abort mid-stream", { retry: 3 }, async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testAbortSignal(llm, { apiKey: openaiCodexToken }); await testAbortSignal(llm, { apiKey: openaiCodexToken });
}); });
it.skipIf(!openaiCodexToken)("should handle immediate abort", { retry: 3 }, async () => { it.skipIf(!openaiCodexToken)("should handle immediate abort", { retry: 3 }, async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testImmediateAbort(llm, { apiKey: openaiCodexToken }); await testImmediateAbort(llm, { apiKey: openaiCodexToken });
}); });
}); });

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@@ -228,9 +228,9 @@ describe("Context overflow error handling", () => {
describe("OpenAI Codex (OAuth)", () => { describe("OpenAI Codex (OAuth)", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should detect overflow via isContextOverflow", "gpt-5.5 - should detect overflow via isContextOverflow",
async () => { async () => {
const model = getModel("openai-codex", "gpt-5.2-codex"); const model = getModel("openai-codex", "gpt-5.5");
const result = await testContextOverflow(model, openaiCodexToken!); const result = await testContextOverflow(model, openaiCodexToken!);
logResult(result); logResult(result);

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@@ -67,7 +67,7 @@ const PROVIDER_MODEL_PAIRS: ProviderModelPair[] = [
{ provider: "openai", model: "gpt-5-mini", label: "openai-responses-gpt-5-mini" }, { provider: "openai", model: "gpt-5-mini", label: "openai-responses-gpt-5-mini" },
{ provider: "azure-openai-responses", model: "gpt-4o-mini", label: "azure-openai-responses-gpt-4o-mini" }, { provider: "azure-openai-responses", model: "gpt-4o-mini", label: "azure-openai-responses-gpt-4o-mini" },
// OpenAI Codex // OpenAI Codex
{ provider: "openai-codex", model: "gpt-5.2-codex", label: "openai-codex-gpt-5.2-codex" }, { provider: "openai-codex", model: "gpt-5.5", label: "openai-codex-gpt-5.5" },
// GitHub Copilot // GitHub Copilot
{ provider: "github-copilot", model: "claude-sonnet-4.5", label: "copilot-claude-sonnet-4.5" }, { provider: "github-copilot", model: "claude-sonnet-4.5", label: "copilot-claude-sonnet-4.5" },
{ provider: "github-copilot", model: "gpt-5.1-codex", label: "copilot-gpt-5.1-codex" }, { provider: "github-copilot", model: "gpt-5.1-codex", label: "copilot-gpt-5.1-codex" },

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@@ -704,37 +704,37 @@ describe("AI Providers Empty Message Tests", () => {
describe("OpenAI Codex Provider Empty Messages", () => { describe("OpenAI Codex Provider Empty Messages", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty content array", "gpt-5.5 - should handle empty content array",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testEmptyMessage(llm, { apiKey: openaiCodexToken }); await testEmptyMessage(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty string content", "gpt-5.5 - should handle empty string content",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testEmptyStringMessage(llm, { apiKey: openaiCodexToken }); await testEmptyStringMessage(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle whitespace-only content", "gpt-5.5 - should handle whitespace-only content",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testWhitespaceOnlyMessage(llm, { apiKey: openaiCodexToken }); await testWhitespaceOnlyMessage(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle empty assistant message in conversation", "gpt-5.5 - should handle empty assistant message in conversation",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testEmptyAssistantMessage(llm, { apiKey: openaiCodexToken }); await testEmptyAssistantMessage(llm, { apiKey: openaiCodexToken });
}, },
); );

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@@ -481,19 +481,19 @@ describe("Tool Results with Images", () => {
describe("OpenAI Codex Provider", () => { describe("OpenAI Codex Provider", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle tool result with only image", "gpt-5.5 - should handle tool result with only image",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await handleToolWithImageResult(llm, { apiKey: openaiCodexToken }); await handleToolWithImageResult(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle tool result with text and image", "gpt-5.5 - should handle tool result with text and image",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await handleToolWithTextAndImageResult(llm, { apiKey: openaiCodexToken }); await handleToolWithTextAndImageResult(llm, { apiKey: openaiCodexToken });
}, },
); );

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@@ -8,7 +8,7 @@ const codexToken = await resolveApiKey("openai-codex");
describe("openai-codex cache affinity e2e", () => { describe("openai-codex cache affinity e2e", () => {
it.skipIf(!codexToken)("handles SSE requests with aligned cache-affinity identifiers", async () => { it.skipIf(!codexToken)("handles SSE requests with aligned cache-affinity identifiers", async () => {
const model = getModel("openai-codex", "gpt-5.3-codex"); const model = getModel("openai-codex", "gpt-5.5");
const sessionId = "0195d6e4-4cf9-7f44-a2d8-f8f7f49ee9d3"; const sessionId = "0195d6e4-4cf9-7f44-a2d8-f8f7f49ee9d3";
const context: Context = { const context: Context = {
systemPrompt: "You are a helpful assistant. Reply exactly as requested.", systemPrompt: "You are a helpful assistant. Reply exactly as requested.",

View File

@@ -18,7 +18,7 @@ const usage: Usage = {
describe("OpenAI Responses foreign tool call ID normalization", () => { describe("OpenAI Responses foreign tool call ID normalization", () => {
it("hashes foreign Copilot tool item IDs into a bounded Codex-safe fc_<hash> shape", () => { it("hashes foreign Copilot tool item IDs into a bounded Codex-safe fc_<hash> shape", () => {
const model = getModel("openai-codex", "gpt-5.3-codex"); const model = getModel("openai-codex", "gpt-5.5");
const assistant: AssistantMessage = { const assistant: AssistantMessage = {
role: "assistant", role: "assistant",
content: [ content: [
@@ -31,7 +31,7 @@ describe("OpenAI Responses foreign tool call ID normalization", () => {
], ],
api: "openai-responses", api: "openai-responses",
provider: "github-copilot", provider: "github-copilot",
model: "gpt-5.3-codex", model: "gpt-5.5",
usage, usage,
stopReason: "toolUse", stopReason: "toolUse",
timestamp: Date.now() - 2000, timestamp: Date.now() - 2000,

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@@ -183,8 +183,8 @@ describe("Responses API tool result images", () => {
); );
}); });
describe("OpenAI Codex Responses Provider (gpt-5.2-codex)", () => { describe("OpenAI Codex Responses Provider (gpt-5.5)", () => {
const model = getModel("openai-codex", "gpt-5.2-codex"); const model = getModel("openai-codex", "gpt-5.5");
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"should send tool result images in function_call_output", "should send tool result images in function_call_output",

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@@ -114,7 +114,7 @@ describe("responseId E2E Tests", () => {
describe("OpenAI Codex Provider", () => { describe("OpenAI Codex Provider", () => {
it.skipIf(!openaiCodexToken)("should expose responseId", { retry: 3, timeout: 30000 }, async () => { it.skipIf(!openaiCodexToken)("should expose responseId", { retry: 3, timeout: 30000 }, async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await expectResponseId(llm, { apiKey: openaiCodexToken }); await expectResponseId(llm, { apiKey: openaiCodexToken });
}); });
}); });

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@@ -309,10 +309,10 @@ describe("Token Statistics on Abort", () => {
describe("OpenAI Codex Provider", () => { describe("OpenAI Codex Provider", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should include token stats when aborted mid-stream", "gpt-5.5 - should include token stats when aborted mid-stream",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testTokensOnAbort(llm, { apiKey: openaiCodexToken }); await testTokensOnAbort(llm, { apiKey: openaiCodexToken });
}, },
); );

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@@ -38,7 +38,7 @@ const echoTool: Tool<typeof echoToolSchema> = {
* *
* 1. Use github-copilot gpt-5.2-codex to generate a tool call * 1. Use github-copilot gpt-5.2-codex to generate a tool call
* 2. Switch to openrouter openai/gpt-5.2-codex and complete * 2. Switch to openrouter openai/gpt-5.2-codex and complete
* 3. Switch to openai-codex gpt-5.2-codex and complete * 3. Switch to openai-codex gpt-5.5 and complete
* *
* Both should succeed without "call_id too long" errors. * Both should succeed without "call_id too long" errors.
*/ */
@@ -117,7 +117,7 @@ describe("Tool Call ID Normalization - Live Handoff", () => {
"github-copilot -> openai-codex should normalize pipe-separated IDs", "github-copilot -> openai-codex should normalize pipe-separated IDs",
async () => { async () => {
const copilotModel = getModel("github-copilot", "gpt-5.2-codex"); const copilotModel = getModel("github-copilot", "gpt-5.2-codex");
const codexModel = getModel("openai-codex", "gpt-5.2-codex"); const codexModel = getModel("openai-codex", "gpt-5.5");
// Step 1: Generate tool call with github-copilot // Step 1: Generate tool call with github-copilot
const userMessage: Message = { const userMessage: Message = {
@@ -266,7 +266,7 @@ describe("Tool Call ID Normalization - Prefilled Context", () => {
it.skipIf(!codexToken)( it.skipIf(!codexToken)(
"openai-codex should handle prefilled context with long pipe-separated IDs", "openai-codex should handle prefilled context with long pipe-separated IDs",
async () => { async () => {
const model = getModel("openai-codex", "gpt-5.2-codex"); const model = getModel("openai-codex", "gpt-5.5");
const messages = buildPrefilledMessages(); const messages = buildPrefilledMessages();
const response = await completeSimple( const response = await completeSimple(

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@@ -317,10 +317,10 @@ describe("Tool Call Without Result Tests", () => {
describe("OpenAI Codex Provider", () => { describe("OpenAI Codex Provider", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should filter out tool calls without corresponding tool results", "gpt-5.5 - should filter out tool calls without corresponding tool results",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const model = getModel("openai-codex", "gpt-5.2-codex"); const model = getModel("openai-codex", "gpt-5.5");
await testToolCallWithoutResult(model, { apiKey: openaiCodexToken }); await testToolCallWithoutResult(model, { apiKey: openaiCodexToken });
}, },
); );

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@@ -771,10 +771,10 @@ describe("totalTokens field", () => {
describe("OpenAI Codex (OAuth)", () => { describe("OpenAI Codex (OAuth)", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should return totalTokens equal to sum of components", "gpt-5.5 - should return totalTokens equal to sum of components",
{ retry: 3, timeout: 60000 }, { retry: 3, timeout: 60000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
console.log(`\nOpenAI Codex / ${llm.id}:`); console.log(`\nOpenAI Codex / ${llm.id}:`);
const { first, second } = await testTotalTokensWithCache(llm, { apiKey: openaiCodexToken }); const { first, second } = await testTotalTokensWithCache(llm, { apiKey: openaiCodexToken });

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@@ -746,28 +746,28 @@ describe("AI Providers Unicode Surrogate Pair Tests", () => {
describe("OpenAI Codex Provider Unicode Handling", () => { describe("OpenAI Codex Provider Unicode Handling", () => {
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle emoji in tool results", "gpt-5.5 - should handle emoji in tool results",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testEmojiInToolResults(llm, { apiKey: openaiCodexToken }); await testEmojiInToolResults(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle real-world LinkedIn comment data with emoji", "gpt-5.5 - should handle real-world LinkedIn comment data with emoji",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testRealWorldLinkedInData(llm, { apiKey: openaiCodexToken }); await testRealWorldLinkedInData(llm, { apiKey: openaiCodexToken });
}, },
); );
it.skipIf(!openaiCodexToken)( it.skipIf(!openaiCodexToken)(
"gpt-5.2-codex - should handle unpaired high surrogate (0xD83D) in tool results", "gpt-5.5 - should handle unpaired high surrogate (0xD83D) in tool results",
{ retry: 3, timeout: 30000 }, { retry: 3, timeout: 30000 },
async () => { async () => {
const llm = getModel("openai-codex", "gpt-5.2-codex"); const llm = getModel("openai-codex", "gpt-5.5");
await testUnpairedHighSurrogate(llm, { apiKey: openaiCodexToken }); await testUnpairedHighSurrogate(llm, { apiKey: openaiCodexToken });
}, },
); );