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show reasoning in frontend

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fretuks
2026-09-21 19:50:16 +02:00
parent 8c13f50bd1
commit ceb3c752ff
12 changed files with 104 additions and 40 deletions
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README.md
+2
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@@ -51,6 +51,8 @@ The server is configured around an Ollama-compatible API surface:
`qwen3:14b` is the default model for chat and roleplay. The model selector loads available models from `/tags` and selects `qwen3:14b` when available (otherwise the first returned model). Existing chats retain their saved model selection.
Chat replies display Ollama's optional `message.thinking` output in a collapsed “Reasoning” section above the answer, updated through SSE `thinking` events during generation. This text is stored separately from the answer and excluded from conversation prompts. An additive SQLite migration preserves it when reopening chats; exports, imports and branches preserve it too. Models without thinking output show no section.
The refactor adds explicit upstream timeout handling, cached model listing, and `GET /health` for degraded-state visibility.
## Schema Notes
public/app/api.js
+1
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@@ -58,6 +58,7 @@ export async function stream(url, data, handlers = {}) {
const event = eventLine.slice(6).trim();
const payload = JSON.parse(dataLine.slice(5).trim());
if (event === "chunk" && handlers.onChunk) handlers.onChunk(payload);
if (event === "thinking" && handlers.onThinking) handlers.onThinking(payload);
if (event === "status" && handlers.onStatus) handlers.onStatus(payload);
if (event === "done" && handlers.onDone) handlers.onDone(payload);
if (event === "error" && handlers.onError) handlers.onError(payload);
public/script.js
+8
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@@ -1,5 +1,6 @@
import {del, get, post, put, stream} from "./app/api.js?v=20260909-account-controls";
import {appendSources, createWebSearchToggle} from "./app/webSearch.js";
import {updateReasoning} from "./app/reasoning.js";
import {closeChatDrawer, openChatDrawer} from "./app/chatDrawer.js?v=20260909-account-controls";
import {onboardingPrompts, requestedChatId} from "./app/constants.js?v=20260909-account-controls";
import {getModelProfile} from "./app/modelProfiles.js?v=20260909-account-controls";
@@ -741,6 +742,7 @@ function addMessage(contentOrMessage, isUser = false, isLoading = false, options
}
msgDiv.append(header, body);
if (!isMessageUser) updateReasoning(msgDiv, message.thinking);
if (!isMessageUser) appendSources(msgDiv, message.sources);
if (message.deliveryStatus === "failed" && message.errorMessage) {
const error = document.createElement("p");
@@ -1832,7 +1834,13 @@ async function sendMessage() {
loadingLabel.textContent = status === "searching" ? "Searching the web..."
: sourceCount === 0 ? "No web results found. Generating response..." : "Generating response...";
},
onThinking: ({fullThinking}) => {
updateReasoning(loadingMsg, fullThinking, true);
loadingLabel.textContent = "Thinking…";
},
onChunk: ({fullReply}) => {
const reasoningSummary = loadingMsg.querySelector(".msg-reasoning summary");
if (reasoningSummary) reasoningSummary.textContent = "Reasoning";
if (loadingBody) {
loadingShell?.classList.add("hidden");
loadingBody.classList.add("has-content");
public/style.css
+20
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@@ -1,5 +1,25 @@
/* Elsewhere design system. */
.msg-reasoning {
margin: 0 0 12px;
padding: 10px 14px;
border: 1px solid var(--border);
border-radius: var(--radius-sm);
background: var(--surface-soft);
color: var(--text-soft);
font-size: .875rem;
}
.msg-reasoning summary { cursor: pointer; font-weight: 600; }
.msg-reasoning summary:focus-visible { outline: 2px solid var(--brand); outline-offset: 4px; }
.msg-reasoning-content {
margin-top: 10px;
max-height: 320px;
overflow: auto;
white-space: pre-wrap;
overflow-wrap: anywhere;
line-height: 1.6;
}
/* ---------- Foundation ---------- */
:root {
color-scheme: light;
src/db/repositories.js
+13 -8
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@@ -195,8 +195,9 @@ export function createRepositories(db, config) {
insertChatMessage: db.prepare("INSERT INTO chat_messages (chat_id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"),
updateChatMessageDelivery: db.prepare("UPDATE chat_messages SET delivery_status = ?, error_message = ? WHERE id = ? AND chat_id = ?"),
updateChatMessageSources: db.prepare("UPDATE chat_messages SET sources = ? WHERE id = ? AND chat_id = ?"),
updateChatMessageThinking: db.prepare("UPDATE chat_messages SET thinking = ? WHERE id = ? AND chat_id = ?"),
getChatMessages: db.prepare(`
SELECT sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
SELECT thinking, sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
FROM chat_messages
WHERE chat_id = ?
ORDER BY id
@@ -236,7 +237,7 @@ export function createRepositories(db, config) {
JOIN branch child ON child.parent_message_id = parent.id
)
SELECT id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used,
retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at, sources
retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at, sources, thinking
FROM branch
WHERE delivery_status = 'complete'
ORDER BY id
@@ -252,7 +253,7 @@ export function createRepositories(db, config) {
JOIN branch child ON child.parent_message_id = parent.id
)
SELECT id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used,
retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at, sources
retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at, sources, thinking
FROM branch ORDER BY id
`),
getSiblingChatMessages: db.prepare(`
@@ -271,13 +272,13 @@ export function createRepositories(db, config) {
SELECT cm.* FROM chat_messages cm JOIN descendants d ON d.id = cm.id ORDER BY cm.id DESC LIMIT 1
`),
getChatMessageById: db.prepare(`
SELECT sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
SELECT thinking, sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
FROM chat_messages
WHERE id = ?
AND chat_id = ?
`),
getChatMessageByIndex: db.prepare(`
SELECT sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
SELECT thinking, sources, id, role, content, model_name, retry_variants, retry_active_index, retry_retries_used, retry_prompt_message_id, delivery_status, error_message, parent_message_id, created_at
FROM chat_messages
WHERE chat_id = ?
ORDER BY id
@@ -738,7 +739,7 @@ export function createRepositories(db, config) {
return statements.deleteUser.run(username);
});
const completeChatTurnTransaction = db.transaction((chatId, userMessageId, assistantContent, retryState, modelName, sources) => {
const completeChatTurnTransaction = db.transaction((chatId, userMessageId, assistantContent, retryState, modelName, sources, thinking) => {
const assistantResult = statements.insertChatMessage.run(
chatId,
"bot",
@@ -754,6 +755,7 @@ export function createRepositories(db, config) {
);
statements.updateChatMessageDelivery.run("complete", null, userMessageId, chatId);
if (sources) statements.updateChatMessageSources.run(JSON.stringify(sources), assistantResult.lastInsertRowid, chatId);
if (thinking) statements.updateChatMessageThinking.run(thinking, assistantResult.lastInsertRowid, chatId);
statements.setChatActiveLeafById.run(assistantResult.lastInsertRowid, chatId);
return assistantResult;
});
@@ -866,6 +868,7 @@ export function createRepositories(db, config) {
);
if (message.sourceId != null) importedMessageIds.set(message.sourceId, Number(result.lastInsertRowid));
if (message.sources) statements.updateChatMessageSources.run(JSON.stringify(message.sources), result.lastInsertRowid, chatId);
if (message.thinking) statements.updateChatMessageThinking.run(message.thinking, result.lastInsertRowid, chatId);
}
statements.updateChatGenerationSettings.run(
chat.preferred_model ?? null,
@@ -1015,8 +1018,10 @@ export function createRepositories(db, config) {
insertBranchChatMessageTransaction(chatId, role, content, retryState, modelName, deliveryStatus, errorMessage, parentMessageId),
updateChatMessageDelivery: (chatId, messageId, deliveryStatus, errorMessage = null) =>
statements.updateChatMessageDelivery.run(deliveryStatus, errorMessage, messageId, chatId),
completeChatTurn: (chatId, userMessageId, assistantContent, retryState, modelName = null, sources = null) =>
completeChatTurnTransaction(chatId, userMessageId, assistantContent, retryState, modelName, sources),
completeChatTurn: (chatId, userMessageId, assistantContent, retryState, modelName = null, sources = null, thinking = null) =>
completeChatTurnTransaction(chatId, userMessageId, assistantContent, retryState, modelName, sources, thinking),
updateChatMessageThinking: (chatId, messageId, thinking) =>
statements.updateChatMessageThinking.run(thinking, messageId, chatId),
updateChatMessageSources: (chatId, messageId, sources) =>
statements.updateChatMessageSources.run(JSON.stringify(sources), messageId, chatId),
failChatTurn: (chatId, userMessageId, errorMessage, parentMessageId = null) =>
src/db/schema.js
+1
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@@ -274,6 +274,7 @@ export function runMigrations(db, {dropLegacyChats = true} = {}) {
const chatMessageColumns = db.prepare("PRAGMA table_info(chat_messages)").all();
ensureColumn("chat_messages", chatMessageColumns, "sources", "ALTER TABLE chat_messages ADD COLUMN sources TEXT");
ensureColumn("chat_messages", chatMessageColumns, "thinking", "ALTER TABLE chat_messages ADD COLUMN thinking TEXT");
const hadParentMessageId = chatMessageColumns.some((column) => column.name === "parent_message_id");
ensureColumn("chat_messages", chatMessageColumns, "model_name", "ALTER TABLE chat_messages ADD COLUMN model_name TEXT");
ensureColumn("chat_messages", chatMessageColumns, "retry_variants", "ALTER TABLE chat_messages ADD COLUMN retry_variants TEXT");
src/routes/chats.js
+1
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@@ -447,6 +447,7 @@ export function createChatsRouter({repositories, chatService, modelService, conf
message: req.validatedBody.message,
model: req.validatedBody.model,
onChunk: (chunk, fullReply) => sendEvent("chunk", {chunk, fullReply}),
onThinking: (chunk, fullThinking) => sendEvent("thinking", {chunk, fullThinking}),
webSearch: req.validatedBody.webSearch,
onStatus: (status) => sendEvent("status", status),
signal: generationController.signal
src/routes/personas.js
+8 -2
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@@ -254,7 +254,9 @@ export function createPersonasRouter({repositories, chatService, modelService, c
repositories.updateChatScene(chat.id, user, scenarioPrompt, sceneSummary);
chat = repositories.getChat(chat.id, user);
try {
let thinking = "";
const opener = await chatService.generateRoleplayOpener({
onThinking: (_chunk, fullThinking) => { thinking = fullThinking; },
selectedModel: "qwen3:14b",
assistantPersona: persona,
userPersona,
@@ -264,12 +266,13 @@ export function createPersonasRouter({repositories, chatService, modelService, c
if (!opener || chatService.containsUserVoiceInRoleplayOpener(opener, userPersona)) {
return res.json({persona, chat, existing: false, generatedInitialMessage: false});
}
chatService.insertChatMessage(chat.id, "bot", opener, {
const inserted = chatService.insertChatMessage(chat.id, "bot", opener, {
retryVariants: [opener],
retryActiveIndex: 0,
retryRetriesUsed: 0,
retryPromptMessageId: null
});
if (thinking) repositories.updateChatMessageThinking(chat.id, Number(inserted.lastInsertRowid), thinking);
repositories.touchChat(chat.id, user);
return res.json({persona, chat: repositories.getChat(chat.id, user), existing: false, generatedInitialMessage: true, opener});
} catch {
@@ -307,7 +310,9 @@ export function createPersonasRouter({repositories, chatService, modelService, c
chat = repositories.getChat(chat.id, user);
try {
let thinking = "";
const opener = await chatService.generateRoleplayOpener({
onThinking: (_chunk, fullThinking) => { thinking = fullThinking; },
selectedModel: model,
assistantPersona,
userPersona,
@@ -317,12 +322,13 @@ export function createPersonasRouter({repositories, chatService, modelService, c
if (!opener || chatService.containsUserVoiceInRoleplayOpener(opener, userPersona)) {
return res.json({chat, existing: false, generatedInitialMessage: false, degraded: true});
}
chatService.insertChatMessage(chat.id, "bot", opener, {
const inserted = chatService.insertChatMessage(chat.id, "bot", opener, {
retryVariants: [opener],
retryActiveIndex: 0,
retryRetriesUsed: 0,
retryPromptMessageId: null
});
if (thinking) repositories.updateChatMessageThinking(chat.id, Number(inserted.lastInsertRowid), thinking);
repositories.touchChat(chat.id, user);
return res.json({chat: repositories.getChat(chat.id, user), existing: false, generatedInitialMessage: true, opener});
} catch (error) {
src/services/chatMessageHelpers.js
+1
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@@ -41,6 +41,7 @@ export function formatChatMessage(row) {
id: row.id,
role: row.role,
content: row.content,
...(row.thinking ? {thinking: row.thinking} : {}),
...(row.sources ? {sources: parseSources(row.sources)} : {}),
modelName: row.model_name || null,
retryVariants,
src/services/chatService.js
+31 -17
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@@ -168,7 +168,7 @@ export function createChatService(repositories, modelService, config, webSearchP
return repositories.createChat(user, persona.name, persona.id, userPersonaId, scenarioPrompt, scenarioSummary);
};
const generateRoleplayOpener = async ({selectedModel = "qwen3:14b", assistantPersona, userPersona, scenarioPrompt, sceneSummary}) => {
const generateRoleplayOpener = async ({selectedModel = "qwen3:14b", assistantPersona, userPersona, scenarioPrompt, sceneSummary, onThinking = null}) => {
const baseMessages = [
{role: "system", content: buildPersonaPrompt(assistantPersona)},
...(userPersona ? [{role: "system", content: buildUserPersonaPrompt(userPersona)}] : []),
@@ -176,11 +176,12 @@ export function createChatService(repositories, modelService, config, webSearchP
{role: "user", content: buildRoleplayOpenerPrompt({assistantPersona, userPersona, scenarioPrompt, sceneSummary})}
];
let opener = await modelService.generateReply(selectedModel, baseMessages);
let opener = await modelService.generateReply(selectedModel, baseMessages, {onThinking});
if (!containsUserVoiceInRoleplayOpener(opener, userPersona)) {
return opener;
}
onThinking?.("", "");
return modelService.generateReply(selectedModel, [
...baseMessages,
{role: "assistant", content: opener || ""},
@@ -188,15 +189,16 @@ export function createChatService(repositories, modelService, config, webSearchP
role: "user",
content: "Rewrite this opening. Hard rule: only the assistant character may speak or act. Never write or imply user speech, thoughts, feelings, reactions, decisions, actions, or labels like 'User:'/'You:'. Stop before the user's reply."
}
]);
], {onThinking});
};
const generateValidatedRoleplayReply = async ({selectedModel, messagesPayload, userPersona, signal = null, generation = {}}) => {
let reply = await modelService.generateReply(selectedModel, messagesPayload, {signal, generation});
const generateValidatedRoleplayReply = async ({selectedModel, messagesPayload, userPersona, signal = null, generation = {}, onThinking = null}) => {
let reply = await modelService.generateReply(selectedModel, messagesPayload, {signal, generation, onThinking});
if (reply && !containsUserVoiceInRoleplayOpener(reply, userPersona)) {
return reply;
}
onThinking?.("", "");
reply = await modelService.generateReply(selectedModel, [
...messagesPayload,
{role: "assistant", content: reply || ""},
@@ -204,7 +206,7 @@ export function createChatService(repositories, modelService, config, webSearchP
role: "user",
content: "Rewrite your last reply. Hard rule: only the assistant character may speak or act. Never write or imply user speech, thoughts, feelings, reactions, decisions, or actions. Stop before the user's reply."
}
], {signal, generation});
], {signal, generation, onThinking});
if (!reply || containsUserVoiceInRoleplayOpener(reply, userPersona)) {
return null;
@@ -283,7 +285,9 @@ export function createChatService(repositories, modelService, config, webSearchP
if (!activePersona || !session.scenario_summary) {
return {error: "No previous user prompt found for retry"};
}
let thinking = "";
const opener = await generateRoleplayOpener({
onThinking: (_chunk, fullThinking) => { thinking = fullThinking; },
selectedModel,
assistantPersona: activePersona,
userPersona: activeUserPersona,
@@ -293,7 +297,7 @@ export function createChatService(repositories, modelService, config, webSearchP
if (!opener || containsUserVoiceInRoleplayOpener(opener, activeUserPersona)) {
return {error: "Failed to regenerate message"};
}
return {fullReply: opener, promptMessageId: null};
return {fullReply: opener, thinking, promptMessageId: null};
}
const {messagesPayload} = buildConversationContext({
@@ -306,15 +310,17 @@ export function createChatService(repositories, modelService, config, webSearchP
});
const styledPayload = appendRetryStyleInstruction(messagesPayload, retryStyle);
let thinking = "";
const onThinking = (_chunk, fullThinking) => { thinking = fullThinking; };
const fullReply = activePersona
? await generateValidatedRoleplayReply({selectedModel, messagesPayload: styledPayload, userPersona: activeUserPersona, signal, generation})
: await modelService.generateReply(selectedModel, styledPayload, {signal, generation});
? await generateValidatedRoleplayReply({selectedModel, messagesPayload: styledPayload, userPersona: activeUserPersona, signal, generation, onThinking})
: await modelService.generateReply(selectedModel, styledPayload, {signal, generation, onThinking});
if (!fullReply) return {error: "Failed to regenerate message"};
return {fullReply, promptMessageId: promptMessage.id};
return {fullReply, thinking, promptMessageId: promptMessage.id};
};
const generateChatTurn = ({user, chatId, message, model, webSearch = false, onStatus = null, onChunk = null, signal = null, parentMessageId = undefined}) =>
const generateChatTurn = ({user, chatId, message, model, webSearch = false, onStatus = null, onChunk = null, onThinking = null, signal = null, parentMessageId = undefined}) =>
withChatGenerationLock(chatId, async () => {
await (summaryQueues.get(chatId) || Promise.resolve());
const session = repositories.getChat(chatId, user);
@@ -335,6 +341,11 @@ export function createChatService(repositories, modelService, config, webSearchP
const userMessageId = Number(inserted?.lastInsertRowid);
try {
let sources = null;
let thinking = "";
const captureThinking = (chunk, fullThinking) => {
thinking = fullThinking;
onThinking?.(chunk, fullThinking);
};
let payload;
const fullReply = await withActiveGeneration(chatId, signal, async (activeSignal) => {
if (webSearch) {
@@ -375,11 +386,12 @@ export function createChatService(repositories, modelService, config, webSearchP
messagesPayload: payload.messagesPayload,
userPersona: payload.activeUserPersona,
signal: activeSignal,
generation
generation,
onThinking: captureThinking
})
: onChunk
? modelService.streamReply(effectiveModel, payload.messagesPayload, onChunk, {signal: activeSignal, generation})
: modelService.generateReply(effectiveModel, payload.messagesPayload, {signal: activeSignal, generation});
? modelService.streamReply(effectiveModel, payload.messagesPayload, onChunk, {signal: activeSignal, generation, onThinking: captureThinking})
: modelService.generateReply(effectiveModel, payload.messagesPayload, {signal: activeSignal, generation, onThinking: captureThinking});
});
if (!fullReply) {
@@ -394,7 +406,7 @@ export function createChatService(repositories, modelService, config, webSearchP
retryRetriesUsed: 0,
retryPromptMessageId: null
};
repositories.completeChatTurn(chatId, userMessageId, fullReply, retryState, effectiveModel, sources);
repositories.completeChatTurn(chatId, userMessageId, fullReply, retryState, effectiveModel, sources, thinking);
repositories.touchChat(chatId, user);
scheduleContextSummaryUpdate({user, chatId, selectedModel: effectiveModel});
return {reply: fullReply, userMessageId, ...(sources ? {sources} : {})};
@@ -471,6 +483,7 @@ export function createChatService(repositories, modelService, config, webSearchP
);
parentMessageId = Number(inserted.lastInsertRowid);
if (sourceMessage.sources) repositories.updateChatMessageSources(clonedChat.id, parentMessageId, parseSources(sourceMessage.sources));
if (sourceMessage.thinking) repositories.updateChatMessageThinking(clonedChat.id, parentMessageId, sourceMessage.thinking);
}
} catch (error) {
repositories.deleteChat(clonedChat.id, user);
@@ -498,8 +511,8 @@ export function createChatService(repositories, modelService, config, webSearchP
async sendChatMessage({user, chatId, message, model, webSearch = false}) {
return generateChatTurn({user, chatId, message, model, webSearch});
},
async streamChatMessage({user, chatId, message, model, webSearch = false, onStatus, onChunk, signal = null}) {
return generateChatTurn({user, chatId, message, model, webSearch, onStatus, onChunk, signal});
async streamChatMessage({user, chatId, message, model, webSearch = false, onStatus, onChunk, onThinking, signal = null}) {
return generateChatTurn({user, chatId, message, model, webSearch, onStatus, onChunk, onThinking, signal});
},
async retryMessage({user, chatId, selectedModel, targetMessage, retryStyle = null}) {
return withChatGenerationLock(chatId, async () => {
@@ -532,6 +545,7 @@ export function createChatService(repositories, modelService, config, webSearchP
chatId, "bot", retryResult.fullReply, retryState, model, "complete", null, freshTarget.parent_message_id
);
if (freshTarget.sources) repositories.updateChatMessageSources(chatId, Number(inserted.lastInsertRowid), parseSources(freshTarget.sources));
if (retryResult.thinking) repositories.updateChatMessageThinking(chatId, Number(inserted.lastInsertRowid), retryResult.thinking);
repositories.updateChatContextSummary(chatId, user, null, 0);
repositories.touchChat(chatId, user);
const message = formatChatMessage(repositories.getChatMessage(chatId, Number(inserted.lastInsertRowid)));
src/services/modelService.js
+17 -13
View File
@@ -74,7 +74,7 @@ export function createModelService(config, overrides = {}) {
}
};
const readStreamingReply = async (response, onChunk = null) => {
const readStreamingReply = async (response, onChunk = null, onThinking = null) => {
if (!response.body) {
throw new ModelServiceError("MODEL_BAD_RESPONSE", "Model backend returned no body.", 502);
}
@@ -83,6 +83,18 @@ export function createModelService(config, overrides = {}) {
const decoder = new TextDecoder();
let buffer = "";
let fullReply = "";
let fullThinking = "";
const consume = (line) => {
const data = JSON.parse(line);
if (data.message?.thinking) {
fullThinking += data.message.thinking;
onThinking?.(data.message.thinking, fullThinking);
}
if (data.message?.content) {
fullReply += data.message.content;
onChunk?.(data.message.content, fullReply);
}
};
while (true) {
const {value, done} = await reader.read();
@@ -93,20 +105,12 @@ export function createModelService(config, overrides = {}) {
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
const data = JSON.parse(trimmed);
if (data.message?.content) {
fullReply += data.message.content;
if (onChunk) onChunk(data.message.content, fullReply);
}
consume(trimmed);
}
}
if (buffer.trim()) {
const data = JSON.parse(buffer.trim());
if (data.message?.content) {
fullReply += data.message.content;
if (onChunk) onChunk(data.message.content, fullReply);
}
consume(buffer.trim());
}
return fullReply.trim();
@@ -146,7 +150,7 @@ export function createModelService(config, overrides = {}) {
throw new ModelServiceError("MODEL_UPSTREAM_ERROR", `Model backend returned ${response.status}.`, 502);
}
return readStreamingReply(response);
return readStreamingReply(response, null, options.onThinking);
}, options.signal);
lastHealth = {ok: true, checkedAt: new Date().toISOString(), error: null, latencyMs: Date.now() - startedAt};
return fullReply;
@@ -184,7 +188,7 @@ export function createModelService(config, overrides = {}) {
throw new ModelServiceError("MODEL_UPSTREAM_ERROR", `Model backend returned ${response.status}.`, 502);
}
return readStreamingReply(response, onChunk);
return readStreamingReply(response, onChunk, options.onThinking);
}, options.signal);
lastHealth = {ok: true, checkedAt: new Date().toISOString(), error: null, latencyMs: Date.now() - startedAt};
return fullReply;
src/services/workspaceImportService.js
+1
View File
@@ -85,6 +85,7 @@ function validateMessage(message, chatIndex, messageIndex, errors) {
role: role === "assistant" ? "bot" : role,
content,
model_name: optionalText(message.model_name || message.modelName),
thinking: optionalText(message.thinking),
...(message.sources ? {sources: parseSources(message.sources)} : {}),
retryVariants,
retryActiveIndex: Number.isInteger(Number(message.retryActiveIndex ?? message.retry_active_index))