openclaw
Version:
Multi-channel AI gateway with extensible messaging integrations
122 lines (121 loc) • 7.55 kB
JavaScript
import { S as supportsClaudeNativeMaxEffort } from "./anthropic-OLTjbWiq.mjs";
import { n as resolveClaudeThinkingProfile } from "./provider-claude-thinking-BxaYS_gB.mjs";
import "./provider-model-shared-BS-hKwsB.mjs";
import { c as buildProviderStreamFamilyHooks } from "./provider-stream-DqHVBNmN.mjs";
import "./provider-stream-family-B-IQkwR_.mjs";
import { T as resolveFoundryTargetProfileId, c as applyFoundryProfileBinding, d as buildFoundryModelConfig, f as buildFoundryProviderBaseUrl, g as isFoundryProviderApi, l as applyFoundryProviderConfig, o as PROVIDER_ID, p as extractFoundryEndpoint, v as normalizeFoundryEndpoint, w as resolveFoundryModelCapabilities } from "./shared-mMxUI8Cj.mjs";
import { t as prepareFoundryRuntimeAuth } from "./runtime-4jeXvq7r.mjs";
import { n as entraIdAuthMethod, t as apiKeyAuthMethod } from "./auth-wkN4thef.mjs";
//#region extensions/microsoft-foundry/provider.ts
const wrapOpenAIResponsesStreamFn = buildProviderStreamFamilyHooks("openai-responses-defaults").wrapStreamFn;
const wrapMicrosoftFoundryStreamFn = (ctx) => {
if (ctx.model?.api !== "openai-responses") return ctx.streamFn ?? null;
const baseStreamFn = ctx.streamFn;
if (!baseStreamFn) return wrapOpenAIResponsesStreamFn?.(ctx) ?? null;
const streamFnWithResponsesReplayIds = (model, context, options) => baseStreamFn(model, context, {
...options,
replayResponsesItemIds: true
});
return wrapOpenAIResponsesStreamFn?.({
...ctx,
streamFn: streamFnWithResponsesReplayIds
}) ?? streamFnWithResponsesReplayIds;
};
function buildMicrosoftFoundryProvider() {
return {
id: PROVIDER_ID,
label: "Microsoft Foundry",
docsPath: "/providers/models",
envVars: ["AZURE_OPENAI_API_KEY", "AZURE_OPENAI_ENDPOINT"],
auth: [entraIdAuthMethod, apiKeyAuthMethod],
onModelSelected: async (ctx) => {
const providerConfig = ctx.config.models?.providers?.[PROVIDER_ID];
if (!providerConfig || !providerConfig.baseUrl?.trim() || !Array.isArray(providerConfig.models) || !ctx.model.startsWith(`microsoft-foundry/`)) return;
const selectedModelId = ctx.model.slice(`${PROVIDER_ID}/`.length);
const configuredModels = providerConfig.models ?? [];
const existingModel = configuredModels.find((model) => model.id === selectedModelId);
const existingModelApi = isFoundryProviderApi(existingModel?.api) ? existingModel.api : void 0;
const providerApiForExistingModel = existingModel && isFoundryProviderApi(providerConfig.api) ? providerConfig.api : void 0;
const selectedModelCapabilities = resolveFoundryModelCapabilities(selectedModelId, existingModel?.name, existingModelApi ?? providerApiForExistingModel, existingModel?.input);
const providerEndpoint = normalizeFoundryEndpoint(providerConfig.baseUrl ?? "");
const selectedProviderEndpoint = extractFoundryEndpoint(existingModel?.baseUrl) ?? providerEndpoint;
const nextModels = configuredModels.map((model) => {
if (model.id !== selectedModelId) return model;
const selectedModelEndpoint = extractFoundryEndpoint(model.baseUrl) ?? providerEndpoint;
const selectedModelBaseUrl = buildFoundryProviderBaseUrl(selectedModelEndpoint, selectedModelId, selectedModelCapabilities.modelName, selectedModelCapabilities.api);
const nextModel = Object.assign({}, model, {
name: selectedModelCapabilities.modelName,
api: selectedModelCapabilities.api,
baseUrl: selectedModelBaseUrl,
reasoning: selectedModelCapabilities.reasoning || model.reasoning,
thinkingLevelMap: selectedModelCapabilities.thinkingLevelMap ?? model.thinkingLevelMap,
params: {
...model.params,
canonicalModelId: selectedModelCapabilities.modelName
},
input: selectedModelCapabilities.input
});
if (selectedModelCapabilities.compat) {
const explicitSupportsReasoningEffort = typeof model.compat?.supportsReasoningEffort === "boolean" ? model.compat.supportsReasoningEffort : void 0;
const preserveExplicitReasoningEffort = !selectedModelCapabilities.reasoning && model.reasoning && explicitSupportsReasoningEffort !== false;
const explicitMaxTokensField = typeof model.compat?.maxTokensField === "string" ? model.compat.maxTokensField : preserveExplicitReasoningEffort ? "max_completion_tokens" : void 0;
nextModel.compat = {
...model.compat,
...selectedModelCapabilities.compat,
...explicitSupportsReasoningEffort !== void 0 ? { supportsReasoningEffort: explicitSupportsReasoningEffort } : preserveExplicitReasoningEffort ? { supportsReasoningEffort: true } : void 0,
...explicitMaxTokensField ? { maxTokensField: explicitMaxTokensField } : {}
};
}
return nextModel;
});
if (!nextModels.some((model) => model.id === selectedModelId)) nextModels.push(buildFoundryModelConfig(providerEndpoint, selectedModelId, selectedModelCapabilities));
const nextProviderConfig = {
...providerConfig,
baseUrl: buildFoundryProviderBaseUrl(selectedProviderEndpoint, selectedModelId, selectedModelCapabilities.modelName, selectedModelCapabilities.api),
api: selectedModelCapabilities.api,
models: nextModels
};
const targetProfileId = resolveFoundryTargetProfileId(ctx.config);
if (targetProfileId) applyFoundryProfileBinding(ctx.config, targetProfileId);
applyFoundryProviderConfig(ctx.config, nextProviderConfig);
},
resolveThinkingProfile: ({ modelId, params }) => {
const modelName = typeof params?.canonicalModelId === "string" ? params.canonicalModelId : void 0;
const capabilities = resolveFoundryModelCapabilities(modelId, modelName);
if (!capabilities.reasoning || capabilities.api !== "anthropic-messages") return;
return resolveClaudeThinkingProfile(capabilities.modelName, void 0, { includeNativeMax: supportsClaudeNativeMaxEffort({ id: capabilities.modelName }) });
},
normalizeResolvedModel: ({ modelId, model }) => {
const endpoint = extractFoundryEndpoint(model.baseUrl ?? "");
if (!endpoint) return model;
const capabilities = resolveFoundryModelCapabilities(modelId, model.name, isFoundryProviderApi(model.api) ? model.api : void 0, model.input);
const explicitSupportsReasoningEffort = typeof model.compat?.supportsReasoningEffort === "boolean" ? model.compat.supportsReasoningEffort : void 0;
const preserveExplicitReasoningEffort = !capabilities.reasoning && model.reasoning;
const explicitMaxTokensField = typeof model.compat?.maxTokensField === "string" ? model.compat.maxTokensField : preserveExplicitReasoningEffort ? "max_completion_tokens" : void 0;
const compat = capabilities.compat ? {
...model.compat,
...capabilities.compat,
...explicitSupportsReasoningEffort !== void 0 ? { supportsReasoningEffort: explicitSupportsReasoningEffort } : preserveExplicitReasoningEffort ? { supportsReasoningEffort: true } : void 0,
...explicitMaxTokensField ? { maxTokensField: explicitMaxTokensField } : {}
} : void 0;
return {
...model,
name: capabilities.modelName,
api: capabilities.api,
reasoning: capabilities.reasoning || model.reasoning,
thinkingLevelMap: capabilities.thinkingLevelMap ?? model.thinkingLevelMap,
params: {
...model.params,
canonicalModelId: capabilities.modelName
},
input: capabilities.input,
baseUrl: buildFoundryProviderBaseUrl(endpoint, modelId, capabilities.modelName, capabilities.api),
...compat ? { compat } : {}
};
},
wrapStreamFn: wrapMicrosoftFoundryStreamFn,
prepareRuntimeAuth: prepareFoundryRuntimeAuth
};
}
//#endregion
export { buildMicrosoftFoundryProvider as t };