mirror of
https://github.com/CherryHQ/cherry-studio.git
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d10f6242f2
Replace Yarn usage with pnpm in CI workflows to standardize package management and leverage pnpm's store/cache behavior. - Use pnpm/action-setup to install pnpm (v) instead of enabling corepack and preparing Yarn. - Retrieve pnpm store path and update cache actions to cache the pnpm store and use pnpm-lock.yaml for cache keys and restores. - Replace yarn commands with pnpm equivalents across workflows: install, i18n:sync/translate, format, build:* and tsx invocation. - Avoid committing lockfile changes by resetting pnpm-lock.yaml instead of yarn.lock when checking for changes. - Update install flags: use pnpm install --frozen-lockfile / --install semantics where appropriate. These changes unify dependency tooling, improve caching correctness, and ensure CI uses pnpm-specific lockfile and cache paths.
75 lines
3.0 KiB
Diff
75 lines
3.0 KiB
Diff
diff --git a/dist/index.js b/dist/index.js
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index 130094d194ea1e8e7d3027d07d82465741192124..4d13dcee8c962ca9ee8f1c3d748f8ffe6a3cfb47 100644
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--- a/dist/index.js
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+++ b/dist/index.js
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@@ -290,6 +290,7 @@ var openaiChatResponseSchema = (0, import_provider_utils3.lazyValidator)(
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message: import_v42.z.object({
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role: import_v42.z.literal("assistant").nullish(),
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content: import_v42.z.string().nullish(),
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+ reasoning_content: import_v42.z.string().nullish(),
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tool_calls: import_v42.z.array(
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import_v42.z.object({
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id: import_v42.z.string().nullish(),
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@@ -356,6 +357,7 @@ var openaiChatChunkSchema = (0, import_provider_utils3.lazyValidator)(
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delta: import_v42.z.object({
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role: import_v42.z.enum(["assistant"]).nullish(),
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content: import_v42.z.string().nullish(),
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+ reasoning_content: import_v42.z.string().nullish(),
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tool_calls: import_v42.z.array(
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import_v42.z.object({
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index: import_v42.z.number(),
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@@ -814,6 +816,13 @@ var OpenAIChatLanguageModel = class {
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if (text != null && text.length > 0) {
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content.push({ type: "text", text });
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}
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+ const reasoning = choice.message.reasoning_content;
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+ if (reasoning != null && reasoning.length > 0) {
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+ content.push({
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+ type: 'reasoning',
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+ text: reasoning
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+ });
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+ }
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for (const toolCall of (_a = choice.message.tool_calls) != null ? _a : []) {
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content.push({
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type: "tool-call",
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@@ -895,6 +904,7 @@ var OpenAIChatLanguageModel = class {
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};
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let metadataExtracted = false;
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let isActiveText = false;
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+ let isActiveReasoning = false;
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const providerMetadata = { openai: {} };
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return {
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stream: response.pipeThrough(
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@@ -952,6 +962,21 @@ var OpenAIChatLanguageModel = class {
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return;
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}
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const delta = choice.delta;
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+ const reasoningContent = delta.reasoning_content;
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+ if (reasoningContent) {
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+ if (!isActiveReasoning) {
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+ controller.enqueue({
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+ type: 'reasoning-start',
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+ id: 'reasoning-0',
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+ });
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+ isActiveReasoning = true;
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+ }
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+ controller.enqueue({
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+ type: 'reasoning-delta',
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+ id: 'reasoning-0',
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+ delta: reasoningContent,
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+ });
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+ }
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if (delta.content != null) {
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if (!isActiveText) {
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controller.enqueue({ type: "text-start", id: "0" });
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@@ -1064,6 +1089,9 @@ var OpenAIChatLanguageModel = class {
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}
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},
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flush(controller) {
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+ if (isActiveReasoning) {
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+ controller.enqueue({ type: 'reasoning-end', id: 'reasoning-0' });
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+ }
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if (isActiveText) {
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controller.enqueue({ type: "text-end", id: "0" });
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}
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