openclaw
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Multi-channel AI gateway with extensible messaging integrations
409 lines (408 loc) • 15.6 kB
JavaScript
import { g as readStringValue, o as normalizeLowercaseStringOrEmpty } from "./string-coerce-1VuiLaaR.mjs";
import { b as uniqueValues } from "./string-normalization-CECOqf64.mjs";
import { t as formatErrorMessage } from "./errors-O33D01XW.mjs";
import { r as normalizeProviderId } from "./provider-id-D1VImdKk.mjs";
import "./defaults-Jag53zwP.mjs";
import { i as resolveOpenAICodexAuthIdentity } from "./provider-openai-chatgpt-auth-fIvYFuQh.mjs";
import "./provider-oauth-runtime-B6eXjkVx.mjs";
import { n as buildManifestModelProviderConfig } from "./provider-catalog-Io9OWhUB.mjs";
import "./error-runtime-BmospGvZ.mjs";
import "./string-coerce-runtime-50qKeWeL.mjs";
import { r as buildFirstTemplateModel, t as matchesExactOrPrefix } from "./provider-model-id-match-BaRr80pd.mjs";
import "./provider-model-metadata-fSBArSt7.mjs";
import { a as isOpenAIApiBaseUrl, n as OPENAI_CODEX_RESPONSES_BASE_URL, o as isOpenAICodexBaseUrl } from "./base-url-BUR_8zW8.mjs";
import { t as OPENAI_CODEX_DEFAULT_MODEL } from "./default-models-CYEf1QuY.mjs";
import { d as OPENAI_GPT_55_PRO_MODEL_ID, g as OPENAI_GPT_56_VARIANT_MODEL_IDS, i as OPENAI_GPT_53_CODEX_SPARK_MODEL_ID, l as OPENAI_GPT_54_PRO_MODEL_ID, o as OPENAI_GPT_54_MINI_MODEL_ID, s as OPENAI_GPT_54_MODEL_ID, t as OPENAI_CHATGPT_MODERN_MODEL_IDS, u as OPENAI_GPT_55_MODEL_ID, v as OPENAI_GPT_6_MODEL_IDS } from "./model-route-contract-hw5lQEww.mjs";
import { t as modelCatalog } from "./openclaw.plugin-_vm__Dty.mjs";
import { t as OPENAI_DEFAULT_RUNTIME_CONTEXT_TOKENS } from "./shared-C588ZwAA.mjs";
import { n as resolveOpenAIUsageAuth, t as fetchOpenAIUsage } from "./usage-Cv9DLU-d.mjs";
//#region extensions/openai/openai-chatgpt-provider.ts
const PROVIDER_ID = "openai";
const OPENAI_MANIFEST_MODELS = buildManifestModelProviderConfig({
providerId: PROVIDER_ID,
catalog: modelCatalog.providers.openai
}).models;
const OPENAI_CODEX_GPT_56_THINKING_LEVEL_MAP = {
off: null,
xhigh: "xhigh",
max: "max"
};
const OPENAI_CODEX_GPT_56_NATIVE_CONTEXT_TOKENS = 372e3;
const OPENAI_CODEX_GPT_55_CODEX_CONTEXT_TOKENS = 4e5;
const OPENAI_CODEX_GPT_54_MAX_TOKENS = 128e3;
const OPENAI_CODEX_GPT_54_MINI_COST = {
input: .75,
output: 4.5,
cacheRead: .075,
cacheWrite: 0
};
const OPENAI_CODEX_FORWARD_COMPAT_PATCHES = /* @__PURE__ */ new Map([
[OPENAI_GPT_55_PRO_MODEL_ID, {
contextWindow: 1e6,
cost: {
input: 30,
output: 180,
cacheRead: 0,
cacheWrite: 0
}
}],
[OPENAI_GPT_54_MODEL_ID, {
contextWindow: 105e4,
cost: {
input: 2.5,
output: 15,
cacheRead: .25,
cacheWrite: 0
}
}],
[OPENAI_GPT_54_PRO_MODEL_ID, {
contextWindow: 105e4,
cost: {
input: 30,
output: 180,
cacheRead: 0,
cacheWrite: 0
}
}],
[OPENAI_GPT_54_MINI_MODEL_ID, {
contextWindow: 4e5,
cost: OPENAI_CODEX_GPT_54_MINI_COST
}],
[OPENAI_GPT_53_CODEX_SPARK_MODEL_ID, {
input: ["text"],
contextWindow: 128e3,
contextTokens: 128e3,
cost: OPENAI_CODEX_GPT_54_MINI_COST
}]
]);
const OPENAI_CODEX_GPT_54_TEMPLATE_MODEL_IDS = ["gpt-5.3-codex"];
/** Legacy codex rows first; fall back to catalog `gpt-5.4` when the API omits 5.3/5.2. */
const OPENAI_CODEX_GPT_54_CATALOG_SYNTH_TEMPLATE_MODEL_IDS = [...OPENAI_CODEX_GPT_54_TEMPLATE_MODEL_IDS, OPENAI_GPT_54_MODEL_ID];
const OPENAI_CODEX_GPT_55_PRO_TEMPLATE_MODEL_IDS = [
OPENAI_GPT_54_MODEL_ID,
OPENAI_GPT_54_PRO_MODEL_ID,
...OPENAI_CODEX_GPT_54_TEMPLATE_MODEL_IDS
];
const OPENAI_CODEX_IMAGE_CAPABLE_MODEL_IDS = [
...OPENAI_GPT_6_MODEL_IDS,
...OPENAI_GPT_56_VARIANT_MODEL_IDS,
OPENAI_GPT_55_MODEL_ID,
OPENAI_GPT_55_PRO_MODEL_ID,
OPENAI_GPT_54_MODEL_ID,
OPENAI_GPT_54_PRO_MODEL_ID,
OPENAI_GPT_54_MINI_MODEL_ID
];
function isOpenAIProvider(provider) {
return normalizeProviderId(provider ?? "") === PROVIDER_ID;
}
function normalizeCodexTransportFields(params) {
const useCodexTransport = !params.baseUrl || isOpenAIApiBaseUrl(params.baseUrl) || isOpenAICodexBaseUrl(params.baseUrl);
const api = useCodexTransport && (!params.api || params.api === "openai-responses" || params.api === "openai-completions") ? "openai-chatgpt-responses" : params.api ?? void 0;
return {
api,
baseUrl: api === "openai-chatgpt-responses" && useCodexTransport ? OPENAI_CODEX_RESPONSES_BASE_URL : params.baseUrl
};
}
function matchesOpenAICodexImageCapableModel(modelId, modelName) {
return [modelId, modelName].filter((value) => typeof value === "string").some((candidate) => matchesExactOrPrefix(candidate, OPENAI_CODEX_IMAGE_CAPABLE_MODEL_IDS));
}
function applyOpenAICodexImageInputCapability(params) {
if (Array.isArray(params.model.input) && params.model.input.includes("image")) return;
if (!matchesOpenAICodexImageCapableModel(params.modelId, params.model.name)) return;
return {
...params.model,
input: ["text", "image"]
};
}
function normalizeCodexTransport(model) {
const canonicalModelId = normalizeLowercaseStringOrEmpty(model.id) === "gpt-5.4-codex" ? OPENAI_GPT_54_MODEL_ID : model.id;
const canonicalName = normalizeLowercaseStringOrEmpty(model.name) === "gpt-5.4-codex" ? OPENAI_GPT_54_MODEL_ID : model.name;
const normalizedTransport = normalizeCodexTransportFields({
api: model.api,
baseUrl: model.baseUrl
});
const api = normalizedTransport.api ?? model.api;
const baseUrl = normalizedTransport.baseUrl ?? model.baseUrl;
if (api === model.api && baseUrl === model.baseUrl && canonicalModelId === model.id && canonicalName === model.name) return model;
return {
...model,
id: canonicalModelId,
name: canonicalName,
api,
baseUrl
};
}
function resolveCodexForwardCompatModel(ctx) {
const trimmedModelId = ctx.modelId.trim();
const lower = normalizeLowercaseStringOrEmpty(trimmedModelId);
const synthBaseUrl = ctx.providerConfig?.baseUrl ?? "https://chatgpt.com/backend-api/codex";
if (OPENAI_GPT_6_MODEL_IDS.some((modelId) => modelId === lower)) {
const catalogModel = OPENAI_MANIFEST_MODELS.find((model) => model.id === lower);
if (!catalogModel || catalogModel.contextWindow === void 0) return;
return {
...catalogModel,
contextWindow: catalogModel.contextWindow,
input: catalogModel.input.filter((item) => item === "text" || item === "image"),
...ctx.modelRegistry.find(PROVIDER_ID, trimmedModelId),
id: trimmedModelId,
provider: PROVIDER_ID,
api: "openai-chatgpt-responses",
baseUrl: synthBaseUrl
};
}
const isGpt56 = OPENAI_GPT_56_VARIANT_MODEL_IDS.some((modelId) => modelId === lower);
if (isGpt56 || lower === "gpt-5.5") {
const contextWindow = isGpt56 ? OPENAI_CODEX_GPT_56_NATIVE_CONTEXT_TOKENS : OPENAI_CODEX_GPT_55_CODEX_CONTEXT_TOKENS;
const registeredModel = withDefaultCodexContextMetadata({
model: ctx.modelRegistry.find(PROVIDER_ID, trimmedModelId),
baseUrl: synthBaseUrl,
contextWindow,
contextTokens: OPENAI_DEFAULT_RUNTIME_CONTEXT_TOKENS
});
const model = registeredModel ?? {
id: trimmedModelId,
name: trimmedModelId,
api: "openai-chatgpt-responses",
provider: PROVIDER_ID,
baseUrl: synthBaseUrl,
reasoning: true,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0
},
contextWindow,
contextTokens: 272e3,
maxTokens: OPENAI_CODEX_GPT_54_MAX_TOKENS
};
return isGpt56 ? {
...model,
thinkingLevelMap: registeredModel ? {
...OPENAI_CODEX_GPT_56_THINKING_LEVEL_MAP,
...registeredModel.thinkingLevelMap
} : OPENAI_CODEX_GPT_56_THINKING_LEVEL_MAP
} : model;
}
let templateIds;
let patch;
const knownPatch = OPENAI_CODEX_FORWARD_COMPAT_PATCHES.get(lower === "gpt-5.4-codex" ? OPENAI_GPT_54_MODEL_ID : lower);
if (knownPatch) {
templateIds = lower === "gpt-5.5-pro" ? OPENAI_CODEX_GPT_55_PRO_TEMPLATE_MODEL_IDS : OPENAI_CODEX_GPT_54_CATALOG_SYNTH_TEMPLATE_MODEL_IDS;
patch = {
contextTokens: OPENAI_DEFAULT_RUNTIME_CONTEXT_TOKENS,
maxTokens: OPENAI_CODEX_GPT_54_MAX_TOKENS,
...knownPatch,
...knownPatch.input ? { input: [...knownPatch.input] } : {}
};
} else if (ctx.agentRuntimeId === "codex" && ctx.authProfileId === void 0 && ctx.authProfileMode === void 0 && ctx.providerConfig?.auth === void 0) {
templateIds = OPENAI_GPT_56_VARIANT_MODEL_IDS;
patch = {
reasoning: true,
input: ["text", "image"],
thinkingLevelMap: OPENAI_CODEX_GPT_56_THINKING_LEVEL_MAP,
compat: {
supportsReasoningEffort: true,
supportedReasoningEfforts: [
"low",
"medium",
"high",
"xhigh",
"max"
]
}
};
} else return;
patch = {
...patch,
api: "openai-chatgpt-responses",
baseUrl: synthBaseUrl
};
const canonicalModelId = lower === "gpt-5.4-codex" ? OPENAI_GPT_54_MODEL_ID : trimmedModelId;
return buildFirstTemplateModel({
providerId: PROVIDER_ID,
modelId: canonicalModelId,
templateIds,
ctx,
patch
}) ?? {
id: canonicalModelId,
name: canonicalModelId,
api: "openai-chatgpt-responses",
provider: PROVIDER_ID,
baseUrl: synthBaseUrl,
reasoning: true,
input: patch?.input ?? ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0
},
contextWindow: patch?.contextWindow ?? 2e5,
contextTokens: patch?.contextTokens,
maxTokens: patch?.maxTokens ?? 2e5,
...patch?.thinkingLevelMap ? { thinkingLevelMap: patch.thinkingLevelMap } : {},
...patch?.compat ? { compat: patch.compat } : {}
};
}
function withDefaultCodexContextMetadata(params) {
if (!params.model) return;
const contextTokens = typeof params.model.contextTokens === "number" ? params.model.contextTokens : typeof params.model.contextWindow === "number" && params.model.contextWindow > 0 ? Math.min(params.contextTokens, params.model.contextWindow) : params.contextTokens;
const input = params.model.input?.includes("image") ? params.model.input : uniqueValues([...params.model.input ?? ["text"], "image"]);
return {
...params.model,
api: "openai-chatgpt-responses",
baseUrl: params.baseUrl,
input,
contextWindow: params.contextWindow,
contextTokens
};
}
function buildCodexCredentialExtra(identity) {
const extra = {
...identity.accountId ? { accountId: identity.accountId } : {},
...identity.chatgptPlanType ? { chatgptPlanType: identity.chatgptPlanType } : {}
};
return Object.keys(extra).length > 0 ? extra : void 0;
}
async function refreshOpenAICodexOAuthCredential(cred) {
try {
const { refreshOpenAICodexToken } = await import("./extensions/openai/openai-chatgpt-provider.runtime.js");
const refreshed = await refreshOpenAICodexToken(cred.refresh);
const identity = resolveOpenAICodexAuthIdentity({
access: refreshed.access,
email: cred.email
});
return {
...cred,
...refreshed,
type: "oauth",
provider: PROVIDER_ID,
email: identity.email ?? cred.email,
displayName: cred.displayName,
...buildCodexCredentialExtra(identity)
};
} catch (error) {
const message = formatErrorMessage(error);
if (/extract\s+accountid\s+from\s+token/i.test(message) && typeof cred.access === "string" && cred.access.trim().length > 0) return cred;
throw error;
}
}
function buildOpenAICodexAuthResult(buildResult, creds) {
const identity = resolveOpenAICodexAuthIdentity({
access: creds.access,
email: readStringValue(creds.email)
});
return buildResult({
providerId: PROVIDER_ID,
defaultModel: OPENAI_CODEX_DEFAULT_MODEL,
configPatch: { agents: { defaults: { models: { [OPENAI_CODEX_DEFAULT_MODEL]: {} } } } },
access: creds.access,
refresh: creds.refresh,
expires: creds.expires,
email: identity.email,
profileName: identity.profileName,
credentialExtra: buildCodexCredentialExtra(identity)
});
}
async function runOpenAICodexOAuth(ctx) {
const [{ loginOpenAICodexOAuth }, { buildOauthProviderAuthResult }] = await Promise.all([import("./extensions/openai/openai-chatgpt-oauth.runtime.js"), import("./plugin-sdk/provider-auth-result.js")]);
const creds = await loginOpenAICodexOAuth({
prompter: ctx.prompter,
runtime: ctx.runtime,
oauth: ctx.oauth,
isRemote: ctx.isRemote,
openUrl: ctx.openUrl,
signal: ctx.signal,
assertCurrent: ctx.assertCurrent,
onManualCodeInput: ctx.onManualCodeInput,
localBrowserMessage: "Complete sign-in in browser…"
});
if (!creds) return { profiles: [] };
return buildOpenAICodexAuthResult(buildOauthProviderAuthResult, creds);
}
async function runOpenAICodexDeviceCode(ctx) {
const spin = ctx.prompter.progress("Starting device code flow…");
try {
const [{ loginOpenAICodexDeviceCode }, { buildOauthProviderAuthResult }] = await Promise.all([import("./extensions/openai/openai-chatgpt-device-code.js"), import("./plugin-sdk/provider-auth-result.js")]);
const creds = await loginOpenAICodexDeviceCode({
...ctx.signal ? { signal: ctx.signal } : {},
assertCurrent: ctx.assertCurrent,
onProgress: (message) => spin.update(message),
onVerification: async ({ verificationUrl, userCode, expiresInMs }) => {
const expiresInMinutes = Math.max(1, Math.round(expiresInMs / 6e4));
const deviceCodeMessage = [ctx.isRemote ? "Open this URL in your LOCAL browser and enter the code below." : "Open this URL in your browser and enter the code below.", `URL: <${verificationUrl}>`].join("\n");
if (ctx.isRemote) await ctx.openUrl(verificationUrl);
if (ctx.prompter.deviceCode) await ctx.prompter.deviceCode({
title: "OpenAI Codex device code",
code: userCode,
expiresInMinutes,
message: "Enter this one-time code on the sign-in page."
});
else await ctx.prompter.note([
deviceCodeMessage,
`Code: ${userCode}`,
`Code expires in ${expiresInMinutes} minutes. Never share it.`
].join("\n"), "OpenAI Codex device code");
if (ctx.isRemote) {
ctx.runtime.log(`\nOpen this URL in your LOCAL browser:\n\n${verificationUrl}\n`);
return;
}
try {
await ctx.openUrl(verificationUrl);
ctx.runtime.log(`Open: ${verificationUrl}`);
} catch {
ctx.runtime.log(`Open manually: ${verificationUrl}`);
}
}
});
spin.stop("OpenAI device code complete");
return buildOpenAICodexAuthResult(buildOauthProviderAuthResult, creds);
} catch (error) {
spin.stop("OpenAI device code failed");
ctx.runtime.error(formatErrorMessage(error));
await ctx.prompter.note("Trouble with device code login? See https://docs.openclaw.ai/start/faq", "OAuth help");
throw error;
}
}
function buildOpenAIChatGPTAuthMethodRuns() {
return {
oauth: runOpenAICodexOAuth,
"device-code": runOpenAICodexDeviceCode
};
}
function buildOpenAICodexProviderHooks() {
return {
resolveDynamicModel: resolveCodexForwardCompatModel,
preferRuntimeResolvedModel: (ctx) => {
if (!isOpenAIProvider(ctx.provider)) return false;
const id = ctx.modelId.trim().toLowerCase();
return OPENAI_CHATGPT_MODERN_MODEL_IDS.some((modelId) => modelId === id);
},
normalizeResolvedModel: (ctx) => {
if (!isOpenAIProvider(ctx.provider)) return;
const transportNormalized = normalizeCodexTransport(ctx.model);
const imageCapable = applyOpenAICodexImageInputCapability({
modelId: ctx.modelId,
model: transportNormalized
}) ?? transportNormalized;
return imageCapable === ctx.model ? void 0 : imageCapable;
},
normalizeTransport: ({ provider, api, baseUrl }) => {
if (!isOpenAIProvider(provider)) return;
const normalized = normalizeCodexTransportFields({
api,
baseUrl
});
if (normalized.api === api && normalized.baseUrl === baseUrl) return;
return normalized;
},
resolveUsageAuth: resolveOpenAIUsageAuth,
fetchUsageSnapshot: fetchOpenAIUsage,
refreshOAuth: refreshOpenAICodexOAuthCredential
};
}
//#endregion
export { buildOpenAICodexProviderHooks as n, buildOpenAIChatGPTAuthMethodRuns as t };