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deerflow-code/frontend-web/src/core/messages/utils.ts
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董宏凯andCursor f4c7d41a60 fix: accept vLLM thinking in reasoning or reasoning_content
Newer vLLM parsers put CoT in reasoning; older builds and DeepSeek still use reasoning_content. Canonicalize to the UI field and echo only the original wire field so other ChatOpenAI models stay unchanged. Point qwen3.6 at VllmChatModel.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-09-09 22:46:08 +08:00

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import type { AIMessage, Message } from "@langchain/langgraph-sdk";
import { hasSearchResultPayload } from "@/core/messages/search-results";
interface GenericMessageGroup<T = string> {
type: T;
id: string | undefined;
messages: Message[];
}
interface HumanMessageGroup extends GenericMessageGroup<"human"> {}
interface AssistantProcessingGroup extends GenericMessageGroup<"assistant:processing"> {}
interface AssistantMessageGroup extends GenericMessageGroup<"assistant"> {}
interface AssistantPresentFilesGroup extends GenericMessageGroup<"assistant:present-files"> {}
interface AssistantClarificationGroup extends GenericMessageGroup<"assistant:clarification"> {}
interface AssistantSetupAgentApprovalGroup extends GenericMessageGroup<"assistant:setup-agent-approval"> {}
interface AssistantSetupWritingApprovalGroup extends GenericMessageGroup<"assistant:setup-writing-approval"> {}
interface AssistantSetupReportStructureApprovalGroup extends GenericMessageGroup<"assistant:setup-report-structure-approval"> {}
interface AssistantResearchApprovalGroup extends GenericMessageGroup<"assistant:research-approval"> {}
interface AssistantTaskReportImportGroup extends GenericMessageGroup<"assistant:task-report-import"> {}
interface AssistantBusinessCardGroup extends GenericMessageGroup<"assistant:business-card"> {}
interface AssistantSubagentGroup extends GenericMessageGroup<"assistant:subagent"> {}
type MessageGroup =
| HumanMessageGroup
| AssistantProcessingGroup
| AssistantMessageGroup
| AssistantPresentFilesGroup
| AssistantClarificationGroup
| AssistantSetupAgentApprovalGroup
| AssistantSetupWritingApprovalGroup
| AssistantSetupReportStructureApprovalGroup
| AssistantResearchApprovalGroup
| AssistantTaskReportImportGroup
| AssistantBusinessCardGroup
| AssistantSubagentGroup;
export function groupMessages<T>(
messages: Message[],
mapper: (group: MessageGroup) => T,
): T[] {
if (messages.length === 0) {
return [];
}
const groups: MessageGroup[] = [];
// Returns the last group if it can still accept tool messages
// (i.e. it's an in-flight processing group, not a terminal human/assistant group).
function lastOpenGroup() {
const last = groups[groups.length - 1];
if (
last &&
last.type !== "human" &&
last.type !== "assistant" &&
last.type !== "assistant:clarification" &&
last.type !== "assistant:setup-agent-approval" &&
last.type !== "assistant:setup-writing-approval" &&
last.type !== "assistant:setup-report-structure-approval" &&
last.type !== "assistant:research-approval" &&
last.type !== "assistant:business-card"
) {
return last;
}
return null;
}
for (const message of messages) {
if (isHiddenFromUIMessage(message)) {
continue;
}
if (message.name === "todo_reminder") {
continue;
}
if (message.type === "human") {
groups.push({ id: message.id, type: "human", messages: [message] });
continue;
}
if (message.type === "tool") {
if (isClarificationToolMessage(message)) {
// Add to the preceding processing group to preserve tool-call association,
// then also open a standalone clarification group for prominent display.
lastOpenGroup()?.messages.push(message);
groups.push({
id: message.id,
type: "assistant:clarification",
messages: [message],
});
} else if (isSetupAgentApprovalToolMessage(message)) {
lastOpenGroup()?.messages.push(message);
groups.push({
id: message.id,
type: "assistant:setup-agent-approval",
messages: [message],
});
} else if (isSetupWritingApprovalToolMessage(message)) {
lastOpenGroup()?.messages.push(message);
groups.push({
id: message.id,
type: "assistant:setup-writing-approval",
messages: [message],
});
} else if (isSetupReportStructureApprovalToolMessage(message)) {
lastOpenGroup()?.messages.push(message);
groups.push({
id: message.id,
type: "assistant:setup-report-structure-approval",
messages: [message],
});
} else {
const open = lastOpenGroup();
if (open) {
open.messages.push(message);
} else {
// After 用户协助 the last group is human/clarification, so later
// write_file results have nowhere to attach. Opening a processing
// group keeps them renderable and avoids console.error(full message)
// on every MessageList render (that froze the SSE thread).
groups.push({
id: message.id,
type: "assistant:processing",
messages: [message],
});
}
}
continue;
}
if (message.type === "ai") {
// Multi-round RAG keeps rounds/retrievals on additional_kwargs while the
// visible answer is still empty. The default rule below only opens an
// assistant bubble when hasContent() is true, which would swallow the
// live thinking cards until the final answer arrives (or forever, if the
// turn is think/search-only). Force a normal assistant row so
// MessageListItem can render MultiRoundRagAssistantBody immediately.
if (message.additional_kwargs?.multi_round_rag === true) {
groups.push({ id: message.id, type: "assistant", messages: [message] });
continue;
}
// Deep-research interaction card: virtual ai messages injected by the
// workbench (additional_kwargs.setup_research_approval) render through
// the host-provided slot. Writing phases use ordinary virtual tool calls
// and completed summaries remain normal assistant messages.
if (hasResearchApproval(message)) {
groups.push({
id: message.id,
type: "assistant:research-approval",
messages: [message],
});
continue;
}
// agentfx「入库」协助卡:虚拟 ai 消息(additional_kwargs.task_report_import_approval),
// 由任务工作区宿主(AgentChatPage taskBind)注入,经 taskReportImportSlot 渲染。
if (hasTaskReportImportApproval(message)) {
groups.push({
id: message.id,
type: "assistant:task-report-import",
messages: [message],
});
continue;
}
// 通用业务卡(报告协作方案组/命令确认/报告入口等):虚拟 ai 消息
// (additional_kwargs.report_collaboration_card),由宿主注入并经
// businessCardSlot 渲染;不传插槽的页面零渲染、零行为变化。
if (hasBusinessCard(message)) {
groups.push({
id: message.id,
type: "assistant:business-card",
messages: [message],
});
continue;
}
if (hasPresentFiles(message)) {
groups.push({
id: message.id,
type: "assistant:present-files",
messages: [message],
});
} else if (hasOnlyDeepResearchProgress(message)) {
// 写作模式把进度条插在同一次 `deep_research_report` 之后,必须并进
// 当前 processing 组,总结才能排在整条步骤条下面。新一轮写作前面
// 会有 human/assistant 隔开,不会误并到上一轮的条上。
const lastGroup = groups[groups.length - 1];
if (lastGroup?.type === "assistant:processing" && groupHasDeepResearchReport(lastGroup)) {
lastGroup.messages.push(message);
} else {
groups.push({
id: message.id,
type: "assistant:processing",
messages: [message],
});
}
} else if (hasSubagent(message)) {
groups.push({
id: message.id,
type: "assistant:subagent",
messages: [message],
});
} else if (hasReasoning(message) || hasToolCalls(message)) {
const lastGroup = groups[groups.length - 1];
// Accumulate consecutive intermediate AI messages into one processing group.
if (lastGroup?.type !== "assistant:processing") {
groups.push({
id: message.id,
type: "assistant:processing",
messages: [message],
});
} else {
lastGroup.messages.push(message);
}
}
// Not an else-if: a message with reasoning + content (but no tool calls) goes
// into the processing group above AND gets its own assistant bubble here.
if (hasContent(message) && !hasToolCalls(message)) {
groups.push({ id: message.id, type: "assistant", messages: [message] });
}
}
}
return groups
.map(mapper)
.filter((result) => result !== undefined && result !== null) as T[];
}
export function extractTextFromMessage(message: Message) {
const payload = extractToolResultPayload(message);
if (typeof payload === "string") {
return payload;
}
if (payload && typeof payload === "object") {
try {
return JSON.stringify(payload);
} catch {
return "";
}
}
return "";
}
/**
* Tool / skill 返回值可能是 JSON 字符串,也可能是结构化对象
*(如内网检索:{ success, query, count, results: [{ title, content_preview }] })。
*/
export function extractToolResultPayload(
message: Message,
): string | Record<string, unknown> | undefined {
const { content } = message;
if (typeof content === "string") {
const trimmed = content.trim();
return trimmed || undefined;
}
if (content && typeof content === "object" && !Array.isArray(content)) {
return content as Record<string, unknown>;
}
if (Array.isArray(content)) {
const textParts: string[] = [];
for (const part of content) {
if (!part || typeof part !== "object") {
continue;
}
const block = part as Record<string, unknown>;
if (block.type === "text" && typeof block.text === "string") {
textParts.push(block.text);
continue;
}
if (block.type === "json" && block.json && typeof block.json === "object") {
return block.json as Record<string, unknown>;
}
if (hasSearchResultPayload(block)) {
return block;
}
}
const joined = textParts.join("\n").trim();
return joined || undefined;
}
return undefined;
}
const THINK_TAG_RE = /<think>\s*([\s\S]*?)\s*<\/think>/g;
const THINK_OPEN = "<think>";
function splitInlineReasoning(content: string) {
const reasoningParts: string[] = [];
// 1) 先抽出所有**已闭合**的 <think>...</think>。
let working = content.replace(THINK_TAG_RE, (_, reasoning: string) => {
const normalized = reasoning.trim();
if (normalized) {
reasoningParts.push(normalized);
}
return "";
});
// 2) 流式中常见**未闭合**的 <think>(还没等到 </think> 就先到达):把开标签之后的内容
// 当作「实时思考」抽到 reasoning、从答案正文里移除。否则模型慢/先思考时,用户既会看到
// 字面 "<think>",又会因答案区长时间空白而以为卡死。这样思考内容会实时流进思考区。
const openIdx = working.indexOf(THINK_OPEN);
if (openIdx !== -1 && !working.slice(openIdx).includes("</think>")) {
const partial = working.slice(openIdx + THINK_OPEN.length).trim();
if (partial) {
reasoningParts.push(partial);
}
working = working.slice(0, openIdx);
}
return {
content: working.trim(),
reasoning: reasoningParts.length > 0 ? reasoningParts.join("\n\n") : null,
};
}
function splitInlineReasoningFromAIMessage(message: Message) {
if (message.type !== "ai" || typeof message.content !== "string") {
return null;
}
return splitInlineReasoning(message.content);
}
export function extractContentFromMessage(message: Message) {
if (typeof message.content === "string") {
return (
splitInlineReasoningFromAIMessage(message)?.content ??
message.content.trim()
);
}
if (Array.isArray(message.content)) {
return message.content
.map((content) => {
switch (content.type) {
case "text":
return content.text;
case "image_url":
const imageURL = extractURLFromImageURLContent(content.image_url);
return `![image](${imageURL})`;
default:
return "";
}
})
.join("\n")
.trim();
}
return "";
}
export function extractReasoningContentFromMessage(message: Message) {
if (message.type !== "ai") {
return null;
}
if (message.additional_kwargs) {
const reasoningContent = message.additional_kwargs.reasoning_content;
if (typeof reasoningContent === "string") {
return reasoningContent;
}
// Newer vLLM puts thinking in `reasoning` instead of `reasoning_content`.
const reasoning = message.additional_kwargs.reasoning;
if (typeof reasoning === "string") {
return reasoning;
}
}
if (Array.isArray(message.content)) {
const part = message.content[0];
if (part && "thinking" in part) {
return part.thinking as string;
}
}
if (typeof message.content === "string") {
return splitInlineReasoning(message.content).reasoning;
}
return null;
}
export function removeReasoningContentFromMessage(message: Message) {
if (message.type !== "ai" || !message.additional_kwargs) {
return;
}
delete message.additional_kwargs.reasoning_content;
}
export function extractURLFromImageURLContent(
content:
| string
| {
url: string;
},
) {
if (typeof content === "string") {
return content;
}
return content.url;
}
export function hasContent(message: Message) {
if (typeof message.content === "string") {
return (
(
splitInlineReasoningFromAIMessage(message)?.content ??
message.content.trim()
).length > 0
);
}
if (Array.isArray(message.content)) {
return message.content.length > 0;
}
return false;
}
export function hasReasoning(message: Message) {
if (message.type !== "ai") {
return false;
}
if (typeof message.additional_kwargs?.reasoning_content === "string") {
return true;
}
if (typeof message.additional_kwargs?.reasoning === "string") {
return true;
}
if (Array.isArray(message.content)) {
const part = message.content[0];
// Compatible with the Anthropic gateway
return (part as unknown as { type: "thinking" })?.type === "thinking";
}
if (typeof message.content === "string") {
return splitInlineReasoning(message.content).reasoning !== null;
}
return false;
}
export function hasToolCalls(message: Message) {
return (
message.type === "ai" && message.tool_calls && message.tool_calls.length > 0
);
}
export function hasPresentFiles(message: Message) {
return (
message.type === "ai" &&
message.tool_calls?.some((toolCall) => toolCall.name === "present_files")
);
}
export function hasOnlyDeepResearchProgress(message: Message) {
return (
message.type === "ai" &&
Boolean(message.tool_calls?.length) &&
message.tool_calls!.every((toolCall) => toolCall.name === "deep_research_progress")
);
}
function groupHasDeepResearchReport(group: MessageGroup): boolean {
return group.messages.some(
(message) =>
message.type === "ai" &&
Boolean(message.tool_calls?.some((toolCall) => toolCall.name === "deep_research_report")),
);
}
export function isClarificationToolMessage(message: Message) {
return message.type === "tool" && message.name === "ask_clarification";
}
export function isSetupAgentApprovalToolMessage(message: Message) {
return (
message.type === "tool" &&
message.name === "setup_agent" &&
typeof message.additional_kwargs?.setup_agent_approval === "object" &&
message.additional_kwargs.setup_agent_approval !== null
);
}
export function isSetupWritingApprovalToolMessage(message: Message) {
return (
message.type === "tool" &&
message.name === "setup_writing" &&
typeof message.additional_kwargs?.setup_writing_approval === "object" &&
message.additional_kwargs.setup_writing_approval !== null
);
}
export function isSetupReportStructureApprovalToolMessage(message: Message) {
return (
message.type === "tool" &&
message.name === "setup_report_structure" &&
typeof message.additional_kwargs?.setup_report_structure_approval === "object" &&
message.additional_kwargs.setup_report_structure_approval !== null
);
}
export function hasResearchApproval(message: Message) {
return (
message.type === "ai" &&
typeof message.additional_kwargs?.setup_research_approval === "object" &&
message.additional_kwargs.setup_research_approval !== null
);
}
/** agentfx「入库」协助卡:宿主注入的虚拟 ai 消息(additional_kwargs.task_report_import_approval)。 */
export function hasTaskReportImportApproval(message: Message) {
return (
message.type === "ai" &&
typeof message.additional_kwargs?.task_report_import_approval === "object" &&
message.additional_kwargs.task_report_import_approval !== null
);
}
/**
* 通用业务卡(报告协作等页面):宿主注入的虚拟 ai 消息
* (additional_kwargs.report_collaboration_card),经 MessageList 的
* businessCardSlot 渲染。集中在此识别,业务卡 payload 结构由各页面自定义。
*/
export function hasBusinessCard(message: Message) {
return (
message.type === "ai" &&
typeof message.additional_kwargs?.report_collaboration_card === "object" &&
message.additional_kwargs.report_collaboration_card !== null
);
}
export function extractPresentFilesFromMessage(message: Message) {
if (message.type !== "ai" || !hasPresentFiles(message)) {
return [];
}
const files: string[] = [];
for (const toolCall of message.tool_calls ?? []) {
if (
toolCall.name === "present_files" &&
Array.isArray(toolCall.args.filepaths)
) {
files.push(...(toolCall.args.filepaths as string[]));
}
}
return files;
}
export function hasSubagent(message: AIMessage) {
for (const toolCall of message.tool_calls ?? []) {
if (toolCall.name === "task") {
return true;
}
}
return false;
}
export function findToolCallResult(
toolCallId: string,
messages: Message[],
toolName?: string,
): string | Record<string, unknown> | undefined {
for (const message of messages) {
if (message.type !== "tool" || message.tool_call_id !== toolCallId) {
continue;
}
const payload = extractToolResultPayload(message);
if (payload !== undefined) {
return payload;
}
}
// updates 流里偶发缺少 tool_call_id,但 content 已是检索结构
if (toolName) {
for (const message of messages) {
if (message.type !== "tool" || message.name !== toolName) {
continue;
}
if (message.tool_call_id && message.tool_call_id !== toolCallId) {
continue;
}
const payload = extractToolResultPayload(message);
if (payload !== undefined && hasSearchResultPayload(payload)) {
return payload;
}
}
}
return undefined;
}
export function isHiddenFromUIMessage(message: Message) {
if (message.additional_kwargs?.hide_from_ui === true) {
return true;
}
// Conversation-summary messages are context for the model only — never shown
// to the user. New summaries are injected transiently (never persisted), but
// threads compacted by older builds still carry a persisted `name: "summary"`
// HumanMessage, so hide those too.
if (message.name === "summary") {
return true;
}
return false;
}
/**
* Represents a file stored in message additional_kwargs.files.
* Used for optimistic UI (uploading state) and structured file metadata.
*/
export interface FileInMessage {
filename: string;
size: number; // bytes
path?: string; // virtual path, may not be set during upload
status?: "uploading" | "uploaded";
}
/**
* Strip <uploaded_files> tag from message content.
* Returns the content with the tag removed.
*/
export function stripUploadedFilesTag(content: string): string {
return content
.replace(/<uploaded_files>[\s\S]*?<\/uploaded_files>/g, "")
.trim();
}
/** Strip injected <artifact ...>...</artifact> blocks from human message display. */
export function stripArtifactTag(content: string): string {
return content
.replace(/<artifact[^>]*>[\s\S]*?<\/artifact>/g, "")
.trim();
}
export function parseUploadedFiles(content: string): FileInMessage[] {
// Match <uploaded_files>...</uploaded_files> tag
const uploadedFilesRegex = /<uploaded_files>([\s\S]*?)<\/uploaded_files>/;
// eslint-disable-next-line @typescript-eslint/prefer-regexp-exec
const match = content.match(uploadedFilesRegex);
if (!match) {
return [];
}
const uploadedFilesContent = match[1];
// Check if it's "No files have been uploaded yet."
if (uploadedFilesContent?.includes("No files have been uploaded yet.")) {
return [];
}
// NOTE: do NOT bail on "(empty)" here. The backend writes "(empty)" only for
// the "uploaded in this message" section; files uploaded in previous messages
// are still listed below it. Bailing dropped those valid entries. The file
// regex below naturally skips the "(empty)" line, so parsing stays correct.
// Parse file list
// Format: - filename (size)\n Path: /path/to/file
const fileRegex = /- ([^\n(]+)\s*\(([^)]+)\)\s*\n\s*Path:\s*([^\n]+)/g;
const files: FileInMessage[] = [];
let fileMatch;
while ((fileMatch = fileRegex.exec(uploadedFilesContent ?? "")) !== null) {
files.push({
filename: fileMatch[1].trim(),
size: parseInt(fileMatch[2].trim(), 10) ?? 0,
path: fileMatch[3].trim(),
});
}
return files;
}