server/webui: cleanup dual representation approach, simplify to openai-compat (#21090)

* server/webui: cleanup dual representation approach, simplify to openai-compat

* feat: Fix regression for Agentic Loop UI

* chore: update webui build output

* refactor: Post-review code improvements

* chore: update webui build output

* refactor: Cleanup

* chore: update webui build output

---------

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte

@@ -4,7 +4,7 @@
 	import { getChatActionsContext, setMessageEditContext } from '$lib/contexts';
 	import { chatStore, pendingEditMessageId } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { DatabaseService } from '$lib/services';
+	import { DatabaseService } from '$lib/services/database.service';
 	import { SYSTEM_MESSAGE_PLACEHOLDER } from '$lib/constants';
 	import { MessageRole, AttachmentType } from '$lib/enums';
 	import {
@@ -19,6 +19,7 @@
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		isLastAssistantMessage?: boolean;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 	}
@@ -26,6 +27,7 @@
 	let {
 		class: className = '',
 		message,
+		toolMessages = [],
 		isLastAssistantMessage = false,
 		siblingInfo = null
 	}: Props = $props();
@@ -302,6 +304,7 @@
 		{deletionInfo}
 		{isLastAssistantMessage}
 		{message}
+		{toolMessages}
 		messageContent={message.content}
 		onConfirmDelete={handleConfirmDelete}
 		onContinue={handleContinue}

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte

@@ -6,42 +6,42 @@
 		SyntaxHighlightedCode
 	} from '$lib/components/app';
 	import { config } from '$lib/stores/settings.svelte';
-	import { Wrench, Loader2, AlertTriangle, Brain } from '@lucide/svelte';
+	import { Wrench, Loader2, Brain } from '@lucide/svelte';
-	import { AgenticSectionType, AttachmentType, FileTypeText } from '$lib/enums';
+	import { AgenticSectionType, FileTypeText } from '$lib/enums';
 	import { formatJsonPretty } from '$lib/utils';
-	import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
+	import {
-	import { parseAgenticContent, type AgenticSection } from '$lib/utils';
+		deriveAgenticSections,
-	import type { DatabaseMessage, DatabaseMessageExtraImageFile } from '$lib/types/database';
+		parseToolResultWithImages,
+		type AgenticSection,
+		type ToolResultLine
+	} from '$lib/utils';
+	import type { DatabaseMessage } from '$lib/types/database';
 	import type { ChatMessageAgenticTimings, ChatMessageAgenticTurnStats } from '$lib/types/chat';
 	import { ChatMessageStatsView } from '$lib/enums';
 
 	interface Props {
-		message?: DatabaseMessage;
+		message: DatabaseMessage;
-		content: string;
+		toolMessages?: DatabaseMessage[];
 		isStreaming?: boolean;
 		highlightTurns?: boolean;
 	}
 
-	type ToolResultLine = {
+	let { message, toolMessages = [], isStreaming = false, highlightTurns = false }: Props = $props();
-		text: string;
-		image?: DatabaseMessageExtraImageFile;
-	};
-
-	let { content, message, isStreaming = false, highlightTurns = false }: Props = $props();
 
 	let expandedStates: Record<number, boolean> = $state({});
 
-	const sections = $derived(parseAgenticContent(content));
 	const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
 	const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
 
-	// Parse toolResults with images only when sections or message.extra change
+	const sections = $derived(deriveAgenticSections(message, toolMessages, []));
+
+	// Parse tool results with images
 	const sectionsParsed = $derived(
 		sections.map((section) => ({
 			...section,
 			parsedLines: section.toolResult
-				? parseToolResultWithImages(section.toolResult, message?.extra)
+				? parseToolResultWithImages(section.toolResult, section.toolResultExtras || message?.extra)
-				: []
+				: ([] as ToolResultLine[])
 		}))
 	);
 
@@ -107,26 +107,6 @@
 		expandedStates[index] = !currentState;
 	}
 
-	function parseToolResultWithImages(
-		toolResult: string,
-		extras?: DatabaseMessage['extra']
-	): ToolResultLine[] {
-		const lines = toolResult.split(NEWLINE_SEPARATOR);
-
-		return lines.map((line) => {
-			const match = line.match(ATTACHMENT_SAVED_REGEX);
-			if (!match || !extras) return { text: line };
-
-			const attachmentName = match[1];
-			const image = extras.find(
-				(e): e is DatabaseMessageExtraImageFile =>
-					e.type === AttachmentType.IMAGE && e.name === attachmentName
-			);
-
-			return { text: line, image };
-		});
-	}
-
 	function buildTurnAgenticTimings(stats: ChatMessageAgenticTurnStats): ChatMessageAgenticTimings {
 		return {
 			turns: 1,
@@ -144,9 +124,8 @@
 			<MarkdownContent content={section.content} attachments={message?.extra} />
 		</div>
 	{:else if section.type === AgenticSectionType.TOOL_CALL_STREAMING}
-		{@const streamingIcon = isStreaming ? Loader2 : AlertTriangle}
+		{@const streamingIcon = isStreaming ? Loader2 : Loader2}
-		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4 text-yellow-500'}
+		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4'}
-		{@const streamingSubtitle = isStreaming ? '' : 'incomplete'}
 
 		<CollapsibleContentBlock
 			open={isExpanded(index, section)}
@@ -154,7 +133,7 @@
 			icon={streamingIcon}
 			iconClass={streamingIconClass}
 			title={section.toolName || 'Tool call'}
-			subtitle={streamingSubtitle}
+			subtitle={isStreaming ? '' : 'incomplete'}
 			{isStreaming}
 			onToggle={() => toggleExpanded(index, section)}
 		>

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte

@@ -15,7 +15,7 @@
 	import { Check, X } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import { Checkbox } from '$lib/components/ui/checkbox';
-	import { AGENTIC_TAGS, INPUT_CLASSES, REASONING_TAGS } from '$lib/constants';
+	import { INPUT_CLASSES } from '$lib/constants';
 	import { MessageRole, KeyboardKey, ChatMessageStatsView } from '$lib/enums';
 	import Label from '$lib/components/ui/label/label.svelte';
 	import { config } from '$lib/stores/settings.svelte';
@@ -23,6 +23,8 @@
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { ServerModelStatus } from '$lib/enums';
 
+	import { hasAgenticContent } from '$lib/utils';
+
 	interface Props {
 		class?: string;
 		deletionInfo: {
@@ -33,6 +35,7 @@
 		} | null;
 		isLastAssistantMessage?: boolean;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		messageContent: string | undefined;
 		onCopy: () => void;
 		onConfirmDelete: () => void;
@@ -53,6 +56,7 @@
 		deletionInfo,
 		isLastAssistantMessage = false,
 		message,
+		toolMessages = [],
 		messageContent,
 		onConfirmDelete,
 		onContinue,
@@ -84,10 +88,8 @@
 		}
 	}
 
-	const hasAgenticMarkers = $derived(
+	const isAgentic = $derived(hasAgenticContent(message, toolMessages));
-		messageContent?.includes(AGENTIC_TAGS.TOOL_CALL_START) ?? false
+	const hasReasoning = $derived(!!message.reasoningContent);
-	);
-	const hasReasoningMarkers = $derived(messageContent?.includes(REASONING_TAGS.START) ?? false);
 	const processingState = useProcessingState();
 
 	let currentConfig = $derived(config());
@@ -145,7 +147,7 @@
 	}
 
 	let highlightAgenticTurns = $derived(
-		hasAgenticMarkers &&
+		isAgentic &&
 			(currentConfig.alwaysShowAgenticTurns || activeStatsView === ChatMessageStatsView.SUMMARY)
 	);
 
@@ -160,13 +162,14 @@
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
 			hasNoContent &&
+			!isAgentic &&
 			isLastAssistantMessage
 	);
 
 	let showProcessingInfoBottom = $derived(
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
-			!hasNoContent &&
+			(!hasNoContent || isAgentic) &&
 			isLastAssistantMessage
 	);
 
@@ -252,10 +255,10 @@
 			<pre class="raw-output">{messageContent || ''}</pre>
 		{:else}
 			<ChatMessageAgenticContent
-				content={messageContent || ''}
+				{message}
+				{toolMessages}
 				isStreaming={isChatStreaming()}
 				highlightTurns={highlightAgenticTurns}
-				{message}
 			/>
 		{/if}
 	{:else}
@@ -344,9 +347,7 @@
 			{onCopy}
 			{onEdit}
 			{onRegenerate}
-			onContinue={currentConfig.enableContinueGeneration && !hasReasoningMarkers
+			onContinue={currentConfig.enableContinueGeneration && !hasReasoning ? onContinue : undefined}
-				? onContinue
-				: undefined}
 			{onForkConversation}
 			{onDelete}
 			{onConfirmDelete}

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte

@@ -6,7 +6,12 @@
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { copyToClipboard, formatMessageForClipboard, getMessageSiblings } from '$lib/utils';
+	import {
+		copyToClipboard,
+		formatMessageForClipboard,
+		getMessageSiblings,
+		hasAgenticContent
+	} from '$lib/utils';
 
 	interface Props {
 		class?: string;
@@ -119,32 +124,75 @@
 			? messages
 			: messages.filter((msg) => msg.type !== MessageRole.SYSTEM);
 
-		let lastAssistantIndex = -1;
+		// Build display entries, grouping agentic sessions into single entries.
+		// An agentic session = assistant(with tool_calls) → tool → assistant → tool → ... → assistant(final)
+		const result: Array<{
+			message: DatabaseMessage;
+			toolMessages: DatabaseMessage[];
+			isLastAssistantMessage: boolean;
+			siblingInfo: ChatMessageSiblingInfo;
+		}> = [];
 
-		for (let i = filteredMessages.length - 1; i >= 0; i--) {
+		for (let i = 0; i < filteredMessages.length; i++) {
-			if (filteredMessages[i].role === MessageRole.ASSISTANT) {
+			const msg = filteredMessages[i];
-				lastAssistantIndex = i;
 
+			// Skip tool messages - they're grouped with preceding assistant
+			if (msg.role === MessageRole.TOOL) continue;
+
+			const toolMessages: DatabaseMessage[] = [];
+			if (msg.role === MessageRole.ASSISTANT && hasAgenticContent(msg)) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length) {
+					const next = filteredMessages[j];
+
+					if (next.role === MessageRole.TOOL) {
+						toolMessages.push(next);
+
+						j++;
+					} else if (next.role === MessageRole.ASSISTANT) {
+						toolMessages.push(next);
+
+						j++;
+					} else {
+						break;
+					}
+				}
+
+				i = j - 1;
+			} else if (msg.role === MessageRole.ASSISTANT) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length && filteredMessages[j].role === MessageRole.TOOL) {
+					toolMessages.push(filteredMessages[j]);
+					j++;
+				}
+			}
+
+			const siblingInfo = getMessageSiblings(allConversationMessages, msg.id);
+
+			result.push({
+				message: msg,
+				toolMessages,
+				isLastAssistantMessage: false,
+				siblingInfo: siblingInfo || {
+					message: msg,
+					siblingIds: [msg.id],
+					currentIndex: 0,
+					totalSiblings: 1
+				}
+			});
+		}
+
+		// Mark the last assistant message
+		for (let i = result.length - 1; i >= 0; i--) {
+			if (result[i].message.role === MessageRole.ASSISTANT) {
+				result[i].isLastAssistantMessage = true;
 				break;
 			}
 		}
 
-		return filteredMessages.map((message, index) => {
+		return result;
-			const siblingInfo = getMessageSiblings(allConversationMessages, message.id);
-			const isLastAssistantMessage =
-				message.role === MessageRole.ASSISTANT && index === lastAssistantIndex;
-
-			return {
-				message,
-				isLastAssistantMessage,
-				siblingInfo: siblingInfo || {
-					message,
-					siblingIds: [message.id],
-					currentIndex: 0,
-					totalSiblings: 1
-				}
-			};
-		});
 	});
 </script>
 
@@ -152,11 +200,12 @@
 	class="flex h-full flex-col space-y-10 pt-24 {className}"
 	style="height: auto; min-height: calc(100dvh - 14rem);"
 >
-	{#each displayMessages as { message, isLastAssistantMessage, siblingInfo } (message.id)}
+	{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)}
 		<div use:fadeInView>
 			<ChatMessage
 				class="mx-auto w-full max-w-[48rem]"
 				{message}
+				{toolMessages}
 				{isLastAssistantMessage}
 				{siblingInfo}
 			/>

tools/server/webui/src/lib/components/app/chat/index.ts

@@ -425,21 +425,16 @@ export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
 /**
  * **ChatMessageAgenticContent** - Agentic workflow output display
  *
- * Specialized renderer for assistant messages containing agentic workflow markers.
+ * Specialized renderer for assistant messages with tool calls and reasoning.
- * Parses structured content and displays tool calls and reasoning blocks as
+ * Derives display sections from structured message data (toolCalls, reasoningContent,
- * interactive collapsible sections with real-time streaming support.
+ * and child tool result messages) and renders them as interactive collapsible sections.
  *
  * **Architecture:**
- * - Uses `parseAgenticContent()` from `$lib/utils` to parse markers
+ * - Uses `deriveAgenticSections()` from `$lib/utils` to build sections from structured data
  * - Renders sections as CollapsibleContentBlock components
  * - Handles streaming state for progressive content display
  * - Falls back to MarkdownContent for plain text sections
  *
- * **Marker Format:**
- * - Tool calls: in constants/agentic.ts (AGENTIC_TAGS)
- * - Reasoning: in constants/agentic.ts (REASONING_TAGS)
- * - Partial markers handled gracefully during streaming
- *
  * **Execution States:**
  * - **Streaming**: Animated spinner, block expanded, auto-scroll enabled
  * - **Pending**: Waiting indicator for queued tool calls

tools/server/webui/src/lib/constants/agentic.ts

@@ -15,8 +15,11 @@ export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = {
 	maxToolPreviewLines: 25
 } as const;
 
-// Agentic tool call tag markers
+/**
-export const AGENTIC_TAGS = {
+ * @deprecated Legacy marker tags - only used for migration of old stored messages.
+ * New messages use structured fields (reasoningContent, toolCalls, toolCallId).
+ */
+export const LEGACY_AGENTIC_TAGS = {
 	TOOL_CALL_START: '<<<AGENTIC_TOOL_CALL_START>>>',
 	TOOL_CALL_END: '<<<AGENTIC_TOOL_CALL_END>>>',
 	TOOL_NAME_PREFIX: '<<<TOOL_NAME:',
@@ -25,39 +28,25 @@ export const AGENTIC_TAGS = {
 	TAG_SUFFIX: '>>>'
 } as const;
 
-export const REASONING_TAGS = {
+/**
+ * @deprecated Legacy reasoning tags - only used for migration of old stored messages.
+ * New messages use the dedicated reasoningContent field.
+ */
+export const LEGACY_REASONING_TAGS = {
 	START: '<<<reasoning_content_start>>>',
 	END: '<<<reasoning_content_end>>>'
 } as const;
 
-// Regex for trimming leading/trailing newlines
+/**
-export const TRIM_NEWLINES_REGEX = /^\n+|\n+$/g;
+ * @deprecated Legacy regex patterns - only used for migration of old stored messages.
-
+ */
-// Regex patterns for parsing agentic content
+export const LEGACY_AGENTIC_REGEX = {
-export const AGENTIC_REGEX = {
-	// Matches completed tool calls (with END marker)
 	COMPLETED_TOOL_CALL:
 		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches pending tool call (has NAME and ARGS but no END)
-	PENDING_TOOL_CALL:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*)$/,
-	// Matches partial tool call (has START and NAME, ARGS still streaming)
-	PARTIAL_WITH_NAME:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*)$/,
-	// Matches early tool call (just START marker)
-	EARLY_MATCH: /<<<AGENTIC_TOOL_CALL_START>>>([\s\S]*)$/,
-	// Matches partial marker at end of content
-	PARTIAL_MARKER: /<<<[A-Za-z_]*$/,
-	// Matches reasoning content blocks (including tags)
 	REASONING_BLOCK: /<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,
-	// Captures the reasoning text between start/end tags
 	REASONING_EXTRACT: /<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/,
-	// Matches an opening reasoning tag and any remaining content (unterminated)
 	REASONING_OPEN: /<<<reasoning_content_start>>>[\s\S]*$/,
-	// Matches a complete agentic tool call display block (start to end marker)
 	AGENTIC_TOOL_CALL_BLOCK: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*?<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches a pending/partial agentic tool call (start marker with no matching end)
 	AGENTIC_TOOL_CALL_OPEN: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,
-	// Matches tool name inside content
+	HAS_LEGACY_MARKERS: /<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/
-	TOOL_NAME_EXTRACT: /<<<TOOL_NAME:([^>]+)>>>/
 } as const;

tools/server/webui/src/lib/services/chat.service.ts

@@ -1,6 +1,7 @@
-import { getJsonHeaders, formatAttachmentText, isAbortError } from '$lib/utils';
+import { getJsonHeaders } from '$lib/utils/api-headers';
+import { formatAttachmentText } from '$lib/utils/formatters';
+import { isAbortError } from '$lib/utils/abort';
 import {
-	AGENTIC_REGEX,
 	ATTACHMENT_LABEL_PDF_FILE,
 	ATTACHMENT_LABEL_MCP_PROMPT,
 	ATTACHMENT_LABEL_MCP_RESOURCE
@@ -17,38 +18,6 @@ import type { DatabaseMessageExtraMcpPrompt, DatabaseMessageExtraMcpResource } f
 import { modelsStore } from '$lib/stores/models.svelte';
 
 export class ChatService {
-	private static stripReasoningContent(
-		content: ApiChatMessageData['content'] | null | undefined
-	): ApiChatMessageData['content'] | null | undefined {
-		if (!content) {
-			return content;
-		}
-
-		if (typeof content === 'string') {
-			return content
-				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
-		}
-
-		if (!Array.isArray(content)) {
-			return content;
-		}
-
-		return content.map((part: ApiChatMessageContentPart) => {
-			if (part.type !== ContentPartType.TEXT || !part.text) return part;
-			return {
-				...part,
-				text: part.text
-					.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-					.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
-			};
-		});
-	}
-
 	/**
 	 *
 	 *
@@ -57,46 +26,6 @@ export class ChatService {
 	 *
 	 */
 
-	/**
-	 * Extracts reasoning text from content that contains internal reasoning tags.
-	 * Returns the concatenated reasoning content or undefined if none found.
-	 */
-	private static extractReasoningFromContent(
-		content: ApiChatMessageData['content'] | null | undefined
-	): string | undefined {
-		if (!content) return undefined;
-
-		const extractFromString = (text: string): string => {
-			const parts: string[] = [];
-			// Use a fresh regex instance to avoid shared lastIndex state
-			const re = new RegExp(AGENTIC_REGEX.REASONING_EXTRACT.source);
-			let match = re.exec(text);
-			while (match) {
-				parts.push(match[1]);
-				// advance past the matched portion and retry
-				text = text.slice(match.index + match[0].length);
-				match = re.exec(text);
-			}
-			return parts.join('');
-		};
-
-		if (typeof content === 'string') {
-			const result = extractFromString(content);
-			return result || undefined;
-		}
-
-		if (!Array.isArray(content)) return undefined;
-
-		const parts: string[] = [];
-		for (const part of content) {
-			if (part.type === ContentPartType.TEXT && part.text) {
-				const result = extractFromString(part.text);
-				if (result) parts.push(result);
-			}
-		}
-		return parts.length > 0 ? parts.join('') : undefined;
-	}
-
 	/**
 	 * Sends a chat completion request to the llama.cpp server.
 	 * Supports both streaming and non-streaming responses with comprehensive parameter configuration.
@@ -201,20 +130,15 @@ export class ChatService {
 
 		const requestBody: ApiChatCompletionRequest = {
 			messages: normalizedMessages.map((msg: ApiChatMessageData) => {
-				// Always strip internal reasoning/agentic tags from content
-				const cleanedContent = ChatService.stripReasoningContent(msg.content);
 				const mapped: ApiChatCompletionRequest['messages'][0] = {
 					role: msg.role,
-					content: cleanedContent,
+					content: msg.content,
 					tool_calls: msg.tool_calls,
 					tool_call_id: msg.tool_call_id
 				};
-				// When preserving reasoning, extract it from raw content and send as separate field
+				// Include reasoning_content from the dedicated field
-				if (!excludeReasoningFromContext) {
+				if (!excludeReasoningFromContext && msg.reasoning_content) {
-					const reasoning = ChatService.extractReasoningFromContent(msg.content);
+					mapped.reasoning_content = msg.reasoning_content;
-					if (reasoning) {
-						mapped.reasoning_content = reasoning;
-					}
 				}
 				return mapped;
 			}),
@@ -726,6 +650,10 @@ export class ChatService {
 				content: message.content
 			};
 
+			if (message.reasoningContent) {
+				result.reasoning_content = message.reasoningContent;
+			}
+
 			if (toolCalls && toolCalls.length > 0) {
 				result.tool_calls = toolCalls;
 			}
@@ -854,6 +782,9 @@ export class ChatService {
 			role: message.role as MessageRole,
 			content: contentParts
 		};
+		if (message.reasoningContent) {
+			result.reasoning_content = message.reasoningContent;
+		}
 		if (toolCalls && toolCalls.length > 0) {
 			result.tool_calls = toolCalls;
 		}

tools/server/webui/src/lib/stores/agentic.svelte.ts

@@ -7,6 +7,10 @@
  * - Session state management
  * - Turn limit enforcement
  *
+ * Each agentic turn produces separate DB messages:
+ * - One assistant message per LLM turn (with tool_calls if any)
+ * - One tool result message per tool call execution
+ *
  * **Architecture & Relationships:**
  * - **ChatService**: Stateless API layer (sendMessage, streaming)
  * - **mcpStore**: MCP connection management and tool execution
@@ -16,7 +20,6 @@
  * @see mcpStore in stores/mcp.svelte.ts for MCP operations
  */
 
-import { SvelteMap } from 'svelte/reactivity';
 import { ChatService } from '$lib/services';
 import { config } from '$lib/stores/settings.svelte';
 import { mcpStore } from '$lib/stores/mcp.svelte';
@@ -24,7 +27,6 @@ import { modelsStore } from '$lib/stores/models.svelte';
 import { isAbortError } from '$lib/utils';
 import {
 	DEFAULT_AGENTIC_CONFIG,
-	AGENTIC_TAGS,
 	NEWLINE_SEPARATOR,
 	TURN_LIMIT_MESSAGE,
 	LLM_ERROR_BLOCK_START,
@@ -193,17 +195,6 @@ class AgenticStore {
 
 	async runAgenticFlow(params: AgenticFlowParams): Promise<AgenticFlowResult> {
 		const { conversationId, messages, options = {}, callbacks, signal, perChatOverrides } = params;
-		const {
-			onChunk,
-			onReasoningChunk,
-			onToolCallChunk,
-			onAttachments,
-			onModel,
-			onComplete,
-			onError,
-			onTimings,
-			onTurnComplete
-		} = callbacks;
 
 		const agenticConfig = this.getConfig(config(), perChatOverrides);
 		if (!agenticConfig.enabled) return { handled: false };
@@ -253,24 +244,14 @@ class AgenticStore {
 				options,
 				tools,
 				agenticConfig,
-				callbacks: {
+				callbacks,
-					onChunk,
-					onReasoningChunk,
-					onToolCallChunk,
-					onAttachments,
-					onModel,
-					onComplete,
-					onError,
-					onTimings,
-					onTurnComplete
-				},
 				signal
 			});
 			return { handled: true };
 		} catch (error) {
 			const normalizedError = error instanceof Error ? error : new Error(String(error));
 			this.updateSession(conversationId, { lastError: normalizedError });
-			onError?.(normalizedError);
+			callbacks.onError?.(normalizedError);
 			return { handled: true, error: normalizedError };
 		} finally {
 			this.updateSession(conversationId, { isRunning: false });
@@ -295,17 +276,20 @@ class AgenticStore {
 		const {
 			onChunk,
 			onReasoningChunk,
-			onToolCallChunk,
+			onToolCallsStreaming,
 			onAttachments,
 			onModel,
-			onComplete,
+			onAssistantTurnComplete,
+			createToolResultMessage,
+			createAssistantMessage,
+			onFlowComplete,
 			onTimings,
 			onTurnComplete
 		} = callbacks;
 
 		const sessionMessages: AgenticMessage[] = toAgenticMessages(messages);
-		const allToolCalls: ApiChatCompletionToolCall[] = [];
 		let capturedTimings: ChatMessageTimings | undefined;
+		let totalToolCallCount = 0;
 
 		const agenticTimings: ChatMessageAgenticTimings = {
 			turns: 0,
@@ -316,12 +300,7 @@ class AgenticStore {
 			llm: { predicted_n: 0, predicted_ms: 0, prompt_n: 0, prompt_ms: 0 }
 		};
 		const maxTurns = agenticConfig.maxTurns;
-		const maxToolPreviewLines = agenticConfig.maxToolPreviewLines;
 
-		// Resolve effective model for vision capability checks.
-		// In ROUTER mode, options.model is always set by the caller.
-		// In MODEL mode, options.model is undefined; use the single loaded model
-		// which carries modalities bridged from /props.
 		const effectiveModel = options.model || modelsStore.models[0]?.model || '';
 
 		for (let turn = 0; turn < maxTurns; turn++) {
@@ -329,23 +308,20 @@ class AgenticStore {
 			agenticTimings.turns = turn + 1;
 
 			if (signal?.aborted) {
-				onComplete?.(
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
-					'',
-					undefined,
-					this.buildFinalTimings(capturedTimings, agenticTimings),
-					undefined
-				);
 				return;
 			}
 
+			// For turns > 0, create a new assistant message via callback
+			if (turn > 0 && createAssistantMessage) {
+				await createAssistantMessage();
+			}
+
 			let turnContent = '';
+			let turnReasoningContent = '';
 			let turnToolCalls: ApiChatCompletionToolCall[] = [];
 			let lastStreamingToolCallName = '';
 			let lastStreamingToolCallArgsLength = 0;
-			const emittedToolCallStates = new SvelteMap<
-				number,
-				{ emittedOnce: boolean; lastArgs: string }
-			>();
 			let turnTimings: ChatMessageTimings | undefined;
 
 			const turnStats: ChatMessageAgenticTurnStats = {
@@ -366,30 +342,15 @@ class AgenticStore {
 							turnContent += chunk;
 							onChunk?.(chunk);
 						},
-						onReasoningChunk,
+						onReasoningChunk: (chunk: string) => {
+							turnReasoningContent += chunk;
+							onReasoningChunk?.(chunk);
+						},
 						onToolCallChunk: (serialized: string) => {
 							try {
 								turnToolCalls = JSON.parse(serialized) as ApiChatCompletionToolCall[];
-								for (let i = 0; i < turnToolCalls.length; i++) {
+								onToolCallsStreaming?.(turnToolCalls);
-									const toolCall = turnToolCalls[i];
+
-									const toolName = toolCall.function?.name ?? '';
-									const toolArgs = toolCall.function?.arguments ?? '';
-									const state = emittedToolCallStates.get(i) || {
-										emittedOnce: false,
-										lastArgs: ''
-									};
-									if (!state.emittedOnce) {
-										const output = `\n\n${AGENTIC_TAGS.TOOL_CALL_START}\n${AGENTIC_TAGS.TOOL_NAME_PREFIX}${toolName}${AGENTIC_TAGS.TAG_SUFFIX}\n${AGENTIC_TAGS.TOOL_ARGS_START}\n${toolArgs}`;
-										onChunk?.(output);
-										state.emittedOnce = true;
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									} else if (toolArgs.length > state.lastArgs.length) {
-										onChunk?.(toolArgs.slice(state.lastArgs.length));
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									}
-								}
 								if (turnToolCalls.length > 0 && turnToolCalls[0]?.function) {
 									const name = turnToolCalls[0].function.name || '';
 									const args = turnToolCalls[0].function.arguments || '';
@@ -442,77 +403,84 @@ class AgenticStore {
 				}
 			} catch (error) {
 				if (signal?.aborted) {
-					onComplete?.(
+					// Save whatever we have for this turn before exiting
-						'',
+					await onAssistantTurnComplete?.(
-						undefined,
+						turnContent,
+						turnReasoningContent || undefined,
 						this.buildFinalTimings(capturedTimings, agenticTimings),
 						undefined
 					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 				const normalizedError = error instanceof Error ? error : new Error('LLM stream error');
+				// Save error as content in the current turn
 				onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`);
-				onComplete?.(
+				await onAssistantTurnComplete?.(
-					'',
+					turnContent + `${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,
-					undefined,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
-
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				throw normalizedError;
 			}
 
+			// No tool calls = final turn, save and complete
 			if (turnToolCalls.length === 0) {
 				agenticTimings.perTurn!.push(turnStats);
 
-				onComplete?.(
+				const finalTimings = this.buildFinalTimings(capturedTimings, agenticTimings);
-					'',
+
-					undefined,
+				await onAssistantTurnComplete?.(
-					this.buildFinalTimings(capturedTimings, agenticTimings),
+					turnContent,
+					turnReasoningContent || undefined,
+					finalTimings,
 					undefined
 				);
 
+				if (finalTimings) onTurnComplete?.(finalTimings);
+
+				onFlowComplete?.(finalTimings);
+
 				return;
 			}
 
+			// Normalize and save assistant turn with tool calls
 			const normalizedCalls = this.normalizeToolCalls(turnToolCalls);
 			if (normalizedCalls.length === 0) {
-				onComplete?.(
+				await onAssistantTurnComplete?.(
-					'',
+					turnContent,
-					undefined,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				return;
 			}
 
-			for (const call of normalizedCalls) {
+			totalToolCallCount += normalizedCalls.length;
-				allToolCalls.push({
+			this.updateSession(conversationId, { totalToolCalls: totalToolCallCount });
-					id: call.id,
-					type: call.type,
-					function: call.function ? { ...call.function } : undefined
-				});
-			}
 
-			this.updateSession(conversationId, { totalToolCalls: allToolCalls.length });
+			// Save the assistant message with its tool calls
-			onToolCallChunk?.(JSON.stringify(allToolCalls));
+			await onAssistantTurnComplete?.(
+				turnContent,
+				turnReasoningContent || undefined,
+				turnTimings,
+				normalizedCalls
+			);
 
+			// Add assistant message to session history
 			sessionMessages.push({
 				role: MessageRole.ASSISTANT,
 				content: turnContent || undefined,
 				tool_calls: normalizedCalls
 			});
 
+			// Execute each tool call and create result messages
 			for (const toolCall of normalizedCalls) {
 				if (signal?.aborted) {
-					onComplete?.(
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
 					return;
 				}
 
@@ -530,13 +498,7 @@ class AgenticStore {
 					result = executionResult.content;
 				} catch (error) {
 					if (isAbortError(error)) {
-						onComplete?.(
+						onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
-							'',
-							undefined,
-							this.buildFinalTimings(capturedTimings, agenticTimings),
-							undefined
-						);
-
 						return;
 					}
 					result = `Error: ${error instanceof Error ? error.message : String(error)}`;
@@ -557,21 +519,27 @@ class AgenticStore {
 				turnStats.toolsMs += Math.round(toolDurationMs);
 
 				if (signal?.aborted) {
-					onComplete?.(
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
 					return;
 				}
 
 				const { cleanedResult, attachments } = this.extractBase64Attachments(result);
-				if (attachments.length > 0) onAttachments?.(attachments);
 
-				this.emitToolCallResult(cleanedResult, maxToolPreviewLines, onChunk);
+				// Create the tool result message in the DB
+				let toolResultMessage: DatabaseMessage | undefined;
+				if (createToolResultMessage) {
+					toolResultMessage = await createToolResultMessage(
+						toolCall.id,
+						cleanedResult,
+						attachments.length > 0 ? attachments : undefined
+					);
+				}
 
+				if (attachments.length > 0 && toolResultMessage) {
+					onAttachments?.(toolResultMessage.id, attachments);
+				}
+
+				// Build content parts for session history (including images for vision models)
 				const contentParts: ApiChatMessageContentPart[] = [
 					{ type: ContentPartType.TEXT, text: cleanedResult }
 				];
@@ -605,8 +573,15 @@ class AgenticStore {
 			}
 		}
 
+		// Turn limit reached
 		onChunk?.(TURN_LIMIT_MESSAGE);
-		onComplete?.('', undefined, this.buildFinalTimings(capturedTimings, agenticTimings), undefined);
+		await onAssistantTurnComplete?.(
+			TURN_LIMIT_MESSAGE,
+			undefined,
+			this.buildFinalTimings(capturedTimings, agenticTimings),
+			undefined
+		);
+		onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 	}
 
 	private buildFinalTimings(
@@ -633,23 +608,6 @@ class AgenticStore {
 		}));
 	}
 
-	private emitToolCallResult(
-		result: string,
-		maxLines: number,
-		emit?: (chunk: string) => void
-	): void {
-		if (!emit) {
-			return;
-		}
-
-		let output = `${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_ARGS_END}`;
-		const lines = result.split(NEWLINE_SEPARATOR);
-		const trimmedLines = lines.length > maxLines ? lines.slice(-maxLines) : lines;
-
-		output += `${NEWLINE_SEPARATOR}${trimmedLines.join(NEWLINE_SEPARATOR)}${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_CALL_END}${NEWLINE_SEPARATOR}`;
-		emit(output);
-	}
-
 	private extractBase64Attachments(result: string): {
 		cleanedResult: string;
 		attachments: DatabaseMessageExtra[];

tools/server/webui/src/lib/stores/chat.svelte.ts

@@ -12,7 +12,8 @@
  */
 
 import { SvelteMap } from 'svelte/reactivity';
-import { DatabaseService, ChatService } from '$lib/services';
+import { DatabaseService } from '$lib/services/database.service';
+import { ChatService } from '$lib/services/chat.service';
 import { conversationsStore } from '$lib/stores/conversations.svelte';
 import { config } from '$lib/stores/settings.svelte';
 import { agenticStore } from '$lib/stores/agentic.svelte';
@@ -34,7 +35,6 @@ import {
 import {
 	MAX_INACTIVE_CONVERSATION_STATES,
 	INACTIVE_CONVERSATION_STATE_MAX_AGE_MS,
-	REASONING_TAGS,
 	SYSTEM_MESSAGE_PLACEHOLDER
 } from '$lib/constants';
 import type {
@@ -50,15 +50,6 @@ interface ConversationStateEntry {
 	lastAccessed: number;
 }
 
-const countOccurrences = (source: string, token: string): number =>
-	source ? source.split(token).length - 1 : 0;
-const hasUnclosedReasoningTag = (content: string): boolean =>
-	countOccurrences(content, REASONING_TAGS.START) > countOccurrences(content, REASONING_TAGS.END);
-const wrapReasoningContent = (content: string, reasoningContent?: string): string => {
-	if (!reasoningContent) return content;
-	return `${REASONING_TAGS.START}${reasoningContent}${REASONING_TAGS.END}${content}`;
-};
-
 class ChatStore {
 	activeProcessingState = $state<ApiProcessingState | null>(null);
 	currentResponse = $state('');
@@ -557,83 +548,76 @@ class ChatStore {
 				await modelsStore.fetchModelProps(effectiveModel);
 		}
 
-		let streamedContent = '',
+		// Mutable state for the current message being streamed
-			streamedToolCallContent = '',
+		let currentMessageId = assistantMessage.id;
-			isReasoningOpen = false,
+		let streamedContent = '';
-			hasStreamedChunks = false,
+		let streamedReasoningContent = '';
-			resolvedModel: string | null = null,
+		let resolvedModel: string | null = null;
-			modelPersisted = false;
+		let modelPersisted = false;
-		let streamedExtras: DatabaseMessageExtra[] = assistantMessage.extra
+		const convId = assistantMessage.convId;
-			? JSON.parse(JSON.stringify(assistantMessage.extra))
+
-			: [];
 		const recordModel = (modelName: string | null | undefined, persistImmediately = true): void => {
 			if (!modelName) return;
 			const n = normalizeModelName(modelName);
 			if (!n || n === resolvedModel) return;
 			resolvedModel = n;
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { model: n });
 			if (persistImmediately && !modelPersisted) {
 				modelPersisted = true;
-				DatabaseService.updateMessage(assistantMessage.id, { model: n }).catch(() => {
+				DatabaseService.updateMessage(currentMessageId, { model: n }).catch(() => {
 					modelPersisted = false;
 					resolvedModel = null;
 				});
 			}
 		};
-		const updateStreamingContent = () => {
+
-			this.setChatStreaming(assistantMessage.convId, streamedContent, assistantMessage.id);
+		const updateStreamingUI = () => {
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			this.setChatStreaming(convId, streamedContent, currentMessageId);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { content: streamedContent });
 		};
-		const appendContentChunk = (chunk: string) => {
+
-			if (isReasoningOpen) {
+		const cleanupStreamingState = () => {
-				streamedContent += REASONING_TAGS.END;
+			this.setStreamingActive(false);
-				isReasoningOpen = false;
+			this.setChatLoading(convId, false);
-			}
+			this.clearChatStreaming(convId);
-			streamedContent += chunk;
+			this.setProcessingState(convId, null);
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const appendReasoningChunk = (chunk: string) => {
-			if (!isReasoningOpen) {
-				streamedContent += REASONING_TAGS.START;
-				isReasoningOpen = true;
-			}
-			streamedContent += chunk;
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const finalizeReasoning = () => {
-			if (isReasoningOpen) {
-				streamedContent += REASONING_TAGS.END;
-				isReasoningOpen = false;
-			}
 		};
+
 		this.setStreamingActive(true);
-		this.setActiveProcessingConversation(assistantMessage.convId);
+		this.setActiveProcessingConversation(convId);
-		const abortController = this.getOrCreateAbortController(assistantMessage.convId);
+		const abortController = this.getOrCreateAbortController(convId);
+
 		const streamCallbacks: ChatStreamCallbacks = {
-			onChunk: (chunk: string) => appendContentChunk(chunk),
+			onChunk: (chunk: string) => {
-			onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
+				streamedContent += chunk;
-			onToolCallChunk: (chunk: string) => {
+				updateStreamingUI();
-				const c = chunk.trim();
-				if (!c) return;
-				streamedToolCallContent = c;
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-				conversationsStore.updateMessageAtIndex(idx, { toolCalls: streamedToolCallContent });
 			},
-			onAttachments: (extras: DatabaseMessageExtra[]) => {
+			onReasoningChunk: (chunk: string) => {
+				streamedReasoningContent += chunk;
+				// Update UI to show reasoning is being received
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, {
+					reasoningContent: streamedReasoningContent
+				});
+			},
+			onToolCallsStreaming: (toolCalls) => {
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, { toolCalls: JSON.stringify(toolCalls) });
+			},
+			onAttachments: (messageId: string, extras: DatabaseMessageExtra[]) => {
 				if (!extras.length) return;
-				streamedExtras = [...streamedExtras, ...extras];
+				const idx = conversationsStore.findMessageIndex(messageId);
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				if (idx === -1) return;
-				conversationsStore.updateMessageAtIndex(idx, { extra: streamedExtras });
+				const msg = conversationsStore.activeMessages[idx];
-				DatabaseService.updateMessage(assistantMessage.id, { extra: streamedExtras }).catch(
+				const updatedExtras = [...(msg.extra || []), ...extras];
-					console.error
+				conversationsStore.updateMessageAtIndex(idx, { extra: updatedExtras });
-				);
+				DatabaseService.updateMessage(messageId, { extra: updatedExtras }).catch(console.error);
 			},
 			onModel: (modelName: string) => recordModel(modelName),
 			onTurnComplete: (intermediateTimings: ChatMessageTimings) => {
+				// Update the first assistant message with cumulative agentic timings
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				conversationsStore.updateMessageAtIndex(idx, { timings: intermediateTimings });
 			},
@@ -651,56 +635,104 @@ class ChatStore {
 						cache_n: timings?.cache_n || 0,
 						prompt_progress: promptProgress
 					},
-					assistantMessage.convId
+					convId
 				);
 			},
-			onComplete: async (
+			onAssistantTurnComplete: async (
-				finalContent?: string,
+				content: string,
-				reasoningContent?: string,
+				reasoningContent: string | undefined,
-				timings?: ChatMessageTimings,
+				timings: ChatMessageTimings | undefined,
-				toolCallContent?: string
+				toolCalls: import('$lib/types/api').ApiChatCompletionToolCall[] | undefined
 			) => {
-				this.setStreamingActive(false);
-				finalizeReasoning();
-				const combinedContent = hasStreamedChunks
-					? streamedContent
-					: wrapReasoningContent(finalContent || '', reasoningContent);
 				const updateData: Record<string, unknown> = {
-					content: combinedContent,
+					content,
-					toolCalls: toolCallContent || streamedToolCallContent,
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : '',
 					timings
 				};
-				if (streamedExtras.length > 0) updateData.extra = streamedExtras;
 				if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
-				await DatabaseService.updateMessage(assistantMessage.id, updateData);
+				await DatabaseService.updateMessage(currentMessageId, updateData);
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
 				const uiUpdate: Partial<DatabaseMessage> = {
-					content: combinedContent,
+					content,
-					toolCalls: updateData.toolCalls as string
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : ''
 				};
-				if (streamedExtras.length > 0) uiUpdate.extra = streamedExtras;
 				if (timings) uiUpdate.timings = timings;
 				if (resolvedModel) uiUpdate.model = resolvedModel;
 				conversationsStore.updateMessageAtIndex(idx, uiUpdate);
-				await conversationsStore.updateCurrentNode(assistantMessage.id);
+				await conversationsStore.updateCurrentNode(currentMessageId);
-				if (onComplete) await onComplete(combinedContent);
+			},
-				this.setChatLoading(assistantMessage.convId, false);
+			createToolResultMessage: async (
-				this.clearChatStreaming(assistantMessage.convId);
+				toolCallId: string,
-				this.setProcessingState(assistantMessage.convId, null);
+				content: string,
+				extras?: DatabaseMessageExtra[]
+			) => {
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content,
+						toolCallId,
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						extra: extras
+					},
+					currentMessageId
+				);
+				conversationsStore.addMessageToActive(msg);
+				await conversationsStore.updateCurrentNode(msg.id);
+				return msg;
+			},
+			createAssistantMessage: async () => {
+				// Reset streaming state for new message
+				streamedContent = '';
+				streamedReasoningContent = '';
+
+				const lastMsg =
+					conversationsStore.activeMessages[conversationsStore.activeMessages.length - 1];
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.ASSISTANT,
+						content: '',
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						model: resolvedModel
+					},
+					lastMsg.id
+				);
+				conversationsStore.addMessageToActive(msg);
+				currentMessageId = msg.id;
+				return msg;
+			},
+			onFlowComplete: (finalTimings?: ChatMessageTimings) => {
+				if (finalTimings) {
+					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+
+					conversationsStore.updateMessageAtIndex(idx, { timings: finalTimings });
+					DatabaseService.updateMessage(assistantMessage.id, { timings: finalTimings }).catch(
+						console.error
+					);
+				}
+
+				cleanupStreamingState();
+
+				if (onComplete) onComplete(streamedContent);
 				if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
 			},
 			onError: (error: Error) => {
 				this.setStreamingActive(false);
 				if (isAbortError(error)) {
-					this.setChatLoading(assistantMessage.convId, false);
+					cleanupStreamingState();
-					this.clearChatStreaming(assistantMessage.convId);
-					this.setProcessingState(assistantMessage.convId, null);
 					return;
 				}
 				console.error('Streaming error:', error);
-				this.setChatLoading(assistantMessage.convId, false);
+				cleanupStreamingState();
-				this.clearChatStreaming(assistantMessage.convId);
-				this.setProcessingState(assistantMessage.convId, null);
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				if (idx !== -1) {
 					const failedMessage = conversationsStore.removeMessageAtIndex(idx);
@@ -717,12 +749,13 @@ class ChatStore {
 				if (onError) onError(error);
 			}
 		};
+
 		const perChatOverrides = conversationsStore.activeConversation?.mcpServerOverrides;
 
 		const agenticConfig = agenticStore.getConfig(config(), perChatOverrides);
 		if (agenticConfig.enabled) {
 			const agenticResult = await agenticStore.runAgenticFlow({
-				conversationId: assistantMessage.convId,
+				conversationId: convId,
 				messages: allMessages,
 				options: { ...this.getApiOptions(), ...(effectiveModel ? { model: effectiveModel } : {}) },
 				callbacks: streamCallbacks,
@@ -732,16 +765,50 @@ class ChatStore {
 			if (agenticResult.handled) return;
 		}
 
-		const completionOptions = {
+		// Non-agentic path: direct streaming into the single assistant message
-			...this.getApiOptions(),
-			...(effectiveModel ? { model: effectiveModel } : {}),
-			...streamCallbacks
-		};
-
 		await ChatService.sendMessage(
 			allMessages,
-			completionOptions,
+			{
-			assistantMessage.convId,
+				...this.getApiOptions(),
+				...(effectiveModel ? { model: effectiveModel } : {}),
+				stream: true,
+				onChunk: streamCallbacks.onChunk,
+				onReasoningChunk: streamCallbacks.onReasoningChunk,
+				onModel: streamCallbacks.onModel,
+				onTimings: streamCallbacks.onTimings,
+				onComplete: async (
+					finalContent?: string,
+					reasoningContent?: string,
+					timings?: ChatMessageTimings,
+					toolCalls?: string
+				) => {
+					const content = streamedContent || finalContent || '';
+					const reasoning = streamedReasoningContent || reasoningContent;
+					const updateData: Record<string, unknown> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || '',
+						timings
+					};
+					if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
+					await DatabaseService.updateMessage(currentMessageId, updateData);
+					const idx = conversationsStore.findMessageIndex(currentMessageId);
+					const uiUpdate: Partial<DatabaseMessage> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || ''
+					};
+					if (timings) uiUpdate.timings = timings;
+					if (resolvedModel) uiUpdate.model = resolvedModel;
+					conversationsStore.updateMessageAtIndex(idx, uiUpdate);
+					await conversationsStore.updateCurrentNode(currentMessageId);
+					cleanupStreamingState();
+					if (onComplete) await onComplete(content);
+					if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+				},
+				onError: streamCallbacks.onError
+			},
+			convId,
 			abortController.signal
 		);
 	}
@@ -1033,56 +1100,40 @@ class ChatStore {
 			}
 
 			const originalContent = dbMessage.content;
+			const originalReasoning = dbMessage.reasoningContent || '';
 			const conversationContext = conversationsStore.activeMessages.slice(0, idx);
 			const contextWithContinue = [
 				...conversationContext,
 				{ role: MessageRole.ASSISTANT as const, content: originalContent }
 			];
 
-			let appendedContent = '',
+			let appendedContent = '';
-				hasReceivedContent = false,
+			let appendedReasoning = '';
-				isReasoningOpen = hasUnclosedReasoningTag(originalContent);
+			let hasReceivedContent = false;
 
 			const updateStreamingContent = (fullContent: string) => {
 				this.setChatStreaming(msg.convId, fullContent, msg.id);
 				conversationsStore.updateMessageAtIndex(idx, { content: fullContent });
 			};
 
-			const appendContentChunk = (chunk: string) => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const appendReasoningChunk = (chunk: string) => {
-				if (!isReasoningOpen) {
-					appendedContent += REASONING_TAGS.START;
-					isReasoningOpen = true;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const finalizeReasoning = () => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-			};
-
 			const abortController = this.getOrCreateAbortController(msg.convId);
 
 			await ChatService.sendMessage(
 				contextWithContinue,
 				{
 					...this.getApiOptions(),
-					onChunk: (chunk: string) => appendContentChunk(chunk),
+					onChunk: (chunk: string) => {
-					onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
+						appendedContent += chunk;
+						hasReceivedContent = true;
+						updateStreamingContent(originalContent + appendedContent);
+					},
+					onReasoningChunk: (chunk: string) => {
+						appendedReasoning += chunk;
+						hasReceivedContent = true;
+						conversationsStore.updateMessageAtIndex(idx, {
+							reasoningContent: originalReasoning + appendedReasoning
+						});
+					},
 					onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
 						const tokensPerSecond =
 							timings?.predicted_ms && timings?.predicted_n
@@ -1105,21 +1156,23 @@ class ChatStore {
 						reasoningContent?: string,
 						timings?: ChatMessageTimings
 					) => {
-						finalizeReasoning();
+						const finalAppendedContent = hasReceivedContent ? appendedContent : finalContent || '';
-
+						const finalAppendedReasoning = hasReceivedContent
-						const appendedFromCompletion = hasReceivedContent
+							? appendedReasoning
-							? appendedContent
+							: reasoningContent || '';
-							: wrapReasoningContent(finalContent || '', reasoningContent);
+						const fullContent = originalContent + finalAppendedContent;
-						const fullContent = originalContent + appendedFromCompletion;
+						const fullReasoning = originalReasoning + finalAppendedReasoning || undefined;
 
 						await DatabaseService.updateMessage(msg.id, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
 
 						conversationsStore.updateMessageAtIndex(idx, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
@@ -1135,11 +1188,13 @@ class ChatStore {
 							if (hasReceivedContent && appendedContent) {
 								await DatabaseService.updateMessage(msg.id, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 
 								conversationsStore.updateMessageAtIndex(idx, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 							}

tools/server/webui/src/lib/stores/conversations.svelte.ts

@@ -23,7 +23,7 @@ import { browser } from '$app/environment';
 import { toast } from 'svelte-sonner';
 import { DatabaseService } from '$lib/services/database.service';
 import { config } from '$lib/stores/settings.svelte';
-import { filterByLeafNodeId, findLeafNode } from '$lib/utils';
+import { filterByLeafNodeId, findLeafNode, runLegacyMigration } from '$lib/utils';
 import type { McpServerOverride } from '$lib/types/database';
 import { MessageRole } from '$lib/enums';
 import {
@@ -128,6 +128,10 @@ class ConversationsStore {
 		if (this.isInitialized) return;
 
 		try {
+			// @deprecated Legacy migration for old marker-based messages.
+			// Remove once all users have migrated to the structured format.
+			await runLegacyMigration();
+
 			await this.loadConversations();
 			this.isInitialized = true;
 		} catch (error) {

tools/server/webui/src/lib/types/agentic.d.ts

@@ -2,6 +2,7 @@ import type { MessageRole } from '$lib/enums';
 import { ToolCallType } from '$lib/enums';
 import type {
 	ApiChatCompletionRequest,
+	ApiChatCompletionToolCall,
 	ApiChatMessageContentPart,
 	ApiChatMessageData
 } from './api';
@@ -70,22 +71,48 @@ export interface AgenticSession {
 }
 
 /**
- * Callbacks for agentic flow execution
+ * Callbacks for agentic flow execution.
+ *
+ * The agentic loop creates separate DB messages for each turn:
+ * - assistant messages (one per LLM turn, with tool_calls if any)
+ * - tool result messages (one per tool call execution)
+ *
+ * The first assistant message is created by the caller before starting the flow.
+ * Subsequent messages are created via createToolResultMessage / createAssistantMessage.
  */
 export interface AgenticFlowCallbacks {
+	/** Content chunk for the current assistant message */
 	onChunk?: (chunk: string) => void;
+	/** Reasoning content chunk for the current assistant message */
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (serializedToolCalls: string) => void;
+	/** Tool calls being streamed (partial, accumulating) for the current turn */
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
+	/** Attachments extracted from tool results */
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
+	/** Model name detected from response */
 	onModel?: (model: string) => void;
-	onComplete?: (
+	/** Current assistant turn's streaming is complete - save to DB */
+	onAssistantTurnComplete?: (
 		content: string,
-		reasoningContent?: string,
+		reasoningContent: string | undefined,
-		timings?: ChatMessageTimings,
+		timings: ChatMessageTimings | undefined,
-		toolCalls?: string
+		toolCalls: ApiChatCompletionToolCall[] | undefined
-	) => void;
+	) => Promise<void>;
+	/** Create a tool result message in the DB tree */
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	/** Create a new assistant message for the next agentic turn */
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	/** Entire agentic flow is complete */
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
+	/** Error during flow */
 	onError?: (error: Error) => void;
+	/** Timing updates during streaming */
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
+	/** An agentic turn (LLM + tool execution) completed - intermediate timing update */
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }
 

tools/server/webui/src/lib/types/chat.d.ts

@@ -1,5 +1,6 @@
 import type { ErrorDialogType } from '$lib/enums';
-import type { DatabaseMessageExtra } from './database';
+import type { ApiChatCompletionToolCall } from './api';
+import type { DatabaseMessage, DatabaseMessageExtra } from './database';
 
 export interface ChatUploadedFile {
 	id: string;
@@ -99,21 +100,28 @@ export interface ChatMessageToolCallTiming {
 }
 
 /**
- * Callbacks for streaming chat responses
+ * Callbacks for streaming chat responses (used by both agentic and non-agentic paths)
  */
 export interface ChatStreamCallbacks {
 	onChunk?: (chunk: string) => void;
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (chunk: string) => void;
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
 	onModel?: (model: string) => void;
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
-	onComplete?: (
+	onAssistantTurnComplete?: (
-		content?: string,
+		content: string,
-		reasoningContent?: string,
+		reasoningContent: string | undefined,
-		timings?: ChatMessageTimings,
+		timings: ChatMessageTimings | undefined,
-		toolCallContent?: string
+		toolCalls: ApiChatCompletionToolCall[] | undefined
-	) => void;
+	) => Promise<void>;
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
 	onError?: (error: Error) => void;
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }

tools/server/webui/src/lib/types/database.d.ts

@@ -92,6 +92,8 @@ export interface DatabaseMessage {
 	 * @deprecated - left for backward compatibility
 	 */
 	thinking?: string;
+	/** Reasoning content produced by the model (separate from visible content) */
+	reasoningContent?: string;
 	/** Serialized JSON array of tool calls made by assistant messages */
 	toolCalls?: string;
 	/** Tool call ID for tool result messages (role: 'tool') */

tools/server/webui/src/lib/utils/agentic.ts

@@ -1,8 +1,15 @@
-import { AgenticSectionType } from '$lib/enums';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
-import { AGENTIC_TAGS, AGENTIC_REGEX, REASONING_TAGS, TRIM_NEWLINES_REGEX } from '$lib/constants';
+import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+import type {
+	DatabaseMessage,
+	DatabaseMessageExtra,
+	DatabaseMessageExtraImageFile
+} from '$lib/types/database';
+import { AttachmentType } from '$lib/enums';
 
 /**
- * Represents a parsed section of agentic content
+ * Represents a parsed section of agentic content for display
  */
 export interface AgenticSection {
 	type: AgenticSectionType;
@@ -10,63 +17,70 @@ export interface AgenticSection {
 	toolName?: string;
 	toolArgs?: string;
 	toolResult?: string;
+	toolResultExtras?: DatabaseMessageExtra[];
 }
 
 /**
- * Represents a segment of content that may contain reasoning blocks
+ * Represents a tool result line that may reference an image attachment
  */
-type ReasoningSegment = {
+export type ToolResultLine = {
-	type:
+	text: string;
-		| AgenticSectionType.TEXT
+	image?: DatabaseMessageExtraImageFile;
-		| AgenticSectionType.REASONING
-		| AgenticSectionType.REASONING_PENDING;
-	content: string;
 };
 
 /**
- * Parses agentic content into structured sections
+ * Derives display sections from a single assistant message and its direct tool results.
  *
- * Main parsing function that processes content containing:
+ * @param message - The assistant message
- * - Tool calls (completed, pending, or streaming)
+ * @param toolMessages - Tool result messages for this assistant's tool_calls
- * - Reasoning blocks (completed or streaming)
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
- * - Regular text content
- *
- * The parser handles chronological display of agentic flow output, maintaining
- * the order of operations and properly identifying different states of tool calls
- * and reasoning blocks during streaming.
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of structured agentic sections ready for display
- *
- * @example
- * ```typescript
- * const content = "Some text <<<AGENTIC_TOOL_CALL>>>tool_name...";
- * const sections = parseAgenticContent(content);
- * // Returns: [{ type: 'text', content: 'Some text' }, { type: 'tool_call_streaming', ... }]
- * ```
  */
-export function parseAgenticContent(rawContent: string): AgenticSection[] {
+function deriveSingleTurnSections(
-	if (!rawContent) return [];
+	message: DatabaseMessage,
-
+	toolMessages: DatabaseMessage[] = [],
-	const segments = splitReasoningSegments(rawContent);
+	streamingToolCalls: ApiChatCompletionToolCall[] = []
+): AgenticSection[] {
 	const sections: AgenticSection[] = [];
 
-	for (const segment of segments) {
+	// 1. Reasoning content (from dedicated field)
-		if (segment.type === AgenticSectionType.TEXT) {
+	if (message.reasoningContent) {
-			sections.push(...parseToolCallContent(segment.content));
-			continue;
-		}
-
-		if (segment.type === AgenticSectionType.REASONING) {
-			if (segment.content.trim()) {
-				sections.push({ type: AgenticSectionType.REASONING, content: segment.content });
-			}
-			continue;
-		}
-
 		sections.push({
-			type: AgenticSectionType.REASONING_PENDING,
+			type: AgenticSectionType.REASONING,
-			content: segment.content
+			content: message.reasoningContent
+		});
+	}
+
+	// 2. Text content
+	if (message.content?.trim()) {
+		sections.push({
+			type: AgenticSectionType.TEXT,
+			content: message.content
+		});
+	}
+
+	// 3. Persisted tool calls (from message.toolCalls field)
+	const toolCalls = parseToolCalls(message.toolCalls);
+	for (const tc of toolCalls) {
+		const resultMsg = toolMessages.find((m) => m.toolCallId === tc.id);
+		sections.push({
+			type: resultMsg ? AgenticSectionType.TOOL_CALL : AgenticSectionType.TOOL_CALL_PENDING,
+			content: resultMsg?.content || '',
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments,
+			toolResult: resultMsg?.content,
+			toolResultExtras: resultMsg?.extra
+		});
+	}
+
+	// 4. Streaming tool calls (not yet persisted - currently being received)
+	for (const tc of streamingToolCalls) {
+		// Skip if already in persisted tool calls
+		if (tc.id && toolCalls.find((t) => t.id === tc.id)) continue;
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL_STREAMING,
+			content: '',
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments
 		});
 	}
 
@@ -74,211 +88,123 @@ export function parseAgenticContent(rawContent: string): AgenticSection[] {
 }
 
 /**
- * Parses content containing tool call markers
+ * Derives display sections from structured message data.
  *
- * Identifies and extracts tool calls from content, handling:
+ * Handles both single-turn (one assistant + its tool results) and multi-turn
- * - Completed tool calls with name, arguments, and results
+ * agentic sessions (multiple assistant + tool messages grouped together).
- * - Pending tool calls (execution in progress)
- * - Streaming tool calls (arguments being received)
- * - Early-stage tool calls (just started)
  *
- * @param rawContent - The raw content string to parse
+ * When `toolMessages` contains continuation assistant messages (from multi-turn
- * @returns Array of agentic sections representing tool calls and text
+ * agentic flows), they are processed in order to produce sections across all turns.
+ *
+ * @param message - The first/anchor assistant message
+ * @param toolMessages - Tool result messages and continuation assistant messages
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
+ * @param isStreaming - Whether the message is currently being streamed
  */
-function parseToolCallContent(rawContent: string): AgenticSection[] {
+export function deriveAgenticSections(
-	if (!rawContent) return [];
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = [],
+	streamingToolCalls: ApiChatCompletionToolCall[] = []
+): AgenticSection[] {
+	const hasAssistantContinuations = toolMessages.some((m) => m.role === MessageRole.ASSISTANT);
+
+	if (!hasAssistantContinuations) {
+		return deriveSingleTurnSections(message, toolMessages, streamingToolCalls);
+	}
 
 	const sections: AgenticSection[] = [];
 
-	const completedToolCallRegex = new RegExp(AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+	const firstTurnToolMsgs = collectToolMessages(toolMessages, 0);
+	sections.push(...deriveSingleTurnSections(message, firstTurnToolMsgs));
 
-	let lastIndex = 0;
+	let i = firstTurnToolMsgs.length;
-	let match;
 
-	while ((match = completedToolCallRegex.exec(rawContent)) !== null) {
+	while (i < toolMessages.length) {
-		if (match.index > lastIndex) {
+		const msg = toolMessages[i];
-			const textBefore = rawContent.slice(lastIndex, match.index).trim();
+
-			if (textBefore) {
+		if (msg.role === MessageRole.ASSISTANT) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
+			const turnToolMsgs = collectToolMessages(toolMessages, i + 1);
-			}
+			const isLastTurn = i + 1 + turnToolMsgs.length >= toolMessages.length;
+
+			sections.push(
+				...deriveSingleTurnSections(msg, turnToolMsgs, isLastTurn ? streamingToolCalls : [])
+			);
+
+			i += 1 + turnToolMsgs.length;
+		} else {
+			i++;
 		}
-
-		const toolName = match[1];
-		const toolArgs = match[2];
-		const toolResult = match[3].replace(TRIM_NEWLINES_REGEX, '');
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL,
-			content: toolResult,
-			toolName,
-			toolArgs,
-			toolResult
-		});
-
-		lastIndex = match.index + match[0].length;
-	}
-
-	const remainingContent = rawContent.slice(lastIndex);
-
-	const pendingMatch = remainingContent.match(AGENTIC_REGEX.PENDING_TOOL_CALL);
-	const partialWithNameMatch = remainingContent.match(AGENTIC_REGEX.PARTIAL_WITH_NAME);
-	const earlyMatch = remainingContent.match(AGENTIC_REGEX.EARLY_MATCH);
-
-	if (pendingMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const toolName = pendingMatch[1];
-		const toolArgs = pendingMatch[2];
-		const streamingResult = (pendingMatch[3] || '').replace(TRIM_NEWLINES_REGEX, '');
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_PENDING,
-			content: streamingResult,
-			toolName,
-			toolArgs,
-			toolResult: streamingResult || undefined
-		});
-	} else if (partialWithNameMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const partialArgs = partialWithNameMatch[2] || '';
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_STREAMING,
-			content: '',
-			toolName: partialWithNameMatch[1],
-			toolArgs: partialArgs || undefined,
-			toolResult: undefined
-		});
-	} else if (earlyMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const nameMatch = earlyMatch[1]?.match(AGENTIC_REGEX.TOOL_NAME_EXTRACT);
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_STREAMING,
-			content: '',
-			toolName: nameMatch?.[1],
-			toolArgs: undefined,
-			toolResult: undefined
-		});
-	} else if (lastIndex < rawContent.length) {
-		let remainingText = rawContent.slice(lastIndex).trim();
-
-		const partialMarkerMatch = remainingText.match(AGENTIC_REGEX.PARTIAL_MARKER);
-
-		if (partialMarkerMatch) {
-			remainingText = remainingText.slice(0, partialMarkerMatch.index).trim();
-		}
-
-		if (remainingText) {
-			sections.push({ type: AgenticSectionType.TEXT, content: remainingText });
-		}
-	}
-
-	if (sections.length === 0 && rawContent.trim()) {
-		sections.push({ type: AgenticSectionType.TEXT, content: rawContent });
 	}
 
 	return sections;
 }
 
 /**
- * Strips partial marker from text content
+ * Collect consecutive tool messages starting at `startIndex`.
- *
- * Removes incomplete agentic markers (e.g., "<<<", "<<<AGENTIC") that may appear
- * at the end of streaming content.
- *
- * @param text - The text content to process
- * @returns Text with partial markers removed
  */
-function stripPartialMarker(text: string): string {
+function collectToolMessages(messages: DatabaseMessage[], startIndex: number): DatabaseMessage[] {
-	const partialMarkerMatch = text.match(AGENTIC_REGEX.PARTIAL_MARKER);
+	const result: DatabaseMessage[] = [];
 
-	if (partialMarkerMatch) {
+	for (let i = startIndex; i < messages.length; i++) {
-		return text.slice(0, partialMarkerMatch.index).trim();
+		if (messages[i].role === MessageRole.TOOL) {
+			result.push(messages[i]);
+		} else {
+			break;
+		}
 	}
 
-	return text;
+	return result;
 }
 
 /**
- * Splits raw content into segments based on reasoning blocks
+ * Parse tool result text into lines, matching image attachments by name.
- *
- * Identifies and extracts reasoning content wrapped in REASONING_TAGS.START/END markers,
- * separating it from regular text content. Handles both complete and incomplete
- * (streaming) reasoning blocks.
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of reasoning segments with their types and content
  */
-function splitReasoningSegments(rawContent: string): ReasoningSegment[] {
+export function parseToolResultWithImages(
-	if (!rawContent) return [];
+	toolResult: string,
+	extras?: DatabaseMessageExtra[]
+): ToolResultLine[] {
+	const lines = toolResult.split(NEWLINE_SEPARATOR);
+	return lines.map((line) => {
+		const match = line.match(ATTACHMENT_SAVED_REGEX);
+		if (!match || !extras) return { text: line };
 
-	const segments: ReasoningSegment[] = [];
+		const attachmentName = match[1];
-	let cursor = 0;
+		const image = extras.find(
+			(e): e is DatabaseMessageExtraImageFile =>
+				e.type === AttachmentType.IMAGE && e.name === attachmentName
+		);
 
-	while (cursor < rawContent.length) {
+		return { text: line, image };
-		const startIndex = rawContent.indexOf(REASONING_TAGS.START, cursor);
+	});
+}
 
-		if (startIndex === -1) {
+/**
-			const remainingText = rawContent.slice(cursor);
+ * Safely parse the toolCalls JSON string from a DatabaseMessage.
+ */
+function parseToolCalls(toolCallsJson?: string): ApiChatCompletionToolCall[] {
+	if (!toolCallsJson) return [];
 
-			if (remainingText) {
+	try {
-				segments.push({ type: AgenticSectionType.TEXT, content: remainingText });
+		const parsed = JSON.parse(toolCallsJson);
-			}
 
-			break;
+		return Array.isArray(parsed) ? parsed : [];
-		}
+	} catch {
+		return [];
+	}
+}
 
-		if (startIndex > cursor) {
+/**
-			const textBefore = rawContent.slice(cursor, startIndex);
+ * Check if a message has agentic content (tool calls or is part of an agentic flow).
+ */
+export function hasAgenticContent(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = []
+): boolean {
+	if (message.toolCalls) {
+		const tc = parseToolCalls(message.toolCalls);
 
-			if (textBefore) {
+		if (tc.length > 0) return true;
-				segments.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const contentStart = startIndex + REASONING_TAGS.START.length;
-		const endIndex = rawContent.indexOf(REASONING_TAGS.END, contentStart);
-
-		if (endIndex === -1) {
-			const pendingContent = rawContent.slice(contentStart);
-
-			segments.push({
-				type: AgenticSectionType.REASONING_PENDING,
-				content: stripPartialMarker(pendingContent)
-			});
-
-			break;
-		}
-
-		const reasoningContent = rawContent.slice(contentStart, endIndex);
-		segments.push({ type: AgenticSectionType.REASONING, content: reasoningContent });
-		cursor = endIndex + REASONING_TAGS.END.length;
 	}
 
-	return segments;
+	return toolMessages.length > 0;
 }

tools/server/webui/src/lib/utils/index.ts

@@ -149,8 +149,17 @@ export { parseHeadersToArray, serializeHeaders } from './headers';
 // Favicon utilities
 export { getFaviconUrl } from './favicon';
 
-// Agentic content parsing utilities
+// Agentic content utilities (structured section derivation)
-export { parseAgenticContent, type AgenticSection } from './agentic';
+export {
+	deriveAgenticSections,
+	parseToolResultWithImages,
+	hasAgenticContent,
+	type AgenticSection,
+	type ToolResultLine
+} from './agentic';
+
+// Legacy migration utilities
+export { runLegacyMigration, isMigrationNeeded } from './legacy-migration';
 
 // Cache utilities
 export { TTLCache, ReactiveTTLMap, type TTLCacheOptions } from './cache-ttl';

tools/server/webui/src/lib/utils/legacy-migration.ts

@@ -0,0 +1,345 @@
+/**
+ * @deprecated Legacy migration utility — remove at some point in the future once all users have migrated to the new structured agentic message format.
+ *
+ * Converts old marker-based agentic messages to the new structured format
+ * with separate messages per turn.
+ *
+ * Old format: Single assistant message with markers in content:
+ *   <<<reasoning_content_start>>>...<<<reasoning_content_end>>>
+ *   <<<AGENTIC_TOOL_CALL_START>>>...<<<AGENTIC_TOOL_CALL_END>>>
+ *
+ * New format: Separate messages per turn:
+ *   - assistant (content + reasoningContent + toolCalls)
+ *   - tool (toolCallId + content)
+ *   - assistant (next turn)
+ *   - ...
+ */
+
+import { LEGACY_AGENTIC_REGEX, LEGACY_REASONING_TAGS } from '$lib/constants';
+import { DatabaseService } from '$lib/services/database.service';
+import { MessageRole, MessageType } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+
+const MIGRATION_DONE_KEY = 'llama-webui-migration-v2-done';
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Check if migration has been performed.
+ */
+export function isMigrationNeeded(): boolean {
+	try {
+		return !localStorage.getItem(MIGRATION_DONE_KEY);
+	} catch {
+		return false;
+	}
+}
+
+/**
+ * Mark migration as done.
+ */
+function markMigrationDone(): void {
+	try {
+		localStorage.setItem(MIGRATION_DONE_KEY, String(Date.now()));
+	} catch {
+		// Ignore localStorage errors
+	}
+}
+
+/**
+ * Check if a message has legacy markers in its content.
+ */
+function hasLegacyMarkers(message: DatabaseMessage): boolean {
+	if (!message.content) return false;
+	return LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test(message.content);
+}
+
+/**
+ * Extract reasoning content from legacy marker format.
+ */
+function extractLegacyReasoning(content: string): { reasoning: string; cleanContent: string } {
+	let reasoning = '';
+	let cleanContent = content;
+
+	// Extract all reasoning blocks
+	const re = new RegExp(LEGACY_AGENTIC_REGEX.REASONING_EXTRACT.source, 'g');
+	let match;
+	while ((match = re.exec(content)) !== null) {
+		reasoning += match[1];
+	}
+
+	// Remove reasoning tags from content
+	cleanContent = cleanContent
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '');
+
+	return { reasoning, cleanContent };
+}
+
+/**
+ * Parse legacy content with tool call markers into structured turns.
+ */
+interface ParsedTurn {
+	textBefore: string;
+	toolCalls: Array<{
+		name: string;
+		args: string;
+		result: string;
+	}>;
+}
+
+function parseLegacyToolCalls(content: string): ParsedTurn[] {
+	const turns: ParsedTurn[] = [];
+	const regex = new RegExp(LEGACY_AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+
+	let lastIndex = 0;
+	let currentTurn: ParsedTurn = { textBefore: '', toolCalls: [] };
+	let match;
+
+	while ((match = regex.exec(content)) !== null) {
+		const textBefore = content.slice(lastIndex, match.index).trim();
+
+		// If there's text between tool calls and we already have tool calls,
+		// that means a new turn started (text after tool results = new LLM turn)
+		if (textBefore && currentTurn.toolCalls.length > 0) {
+			turns.push(currentTurn);
+			currentTurn = { textBefore, toolCalls: [] };
+		} else if (textBefore && currentTurn.toolCalls.length === 0) {
+			currentTurn.textBefore = textBefore;
+		}
+
+		currentTurn.toolCalls.push({
+			name: match[1],
+			args: match[2],
+			result: match[3].replace(/^\n+|\n+$/g, '')
+		});
+
+		lastIndex = match.index + match[0].length;
+	}
+
+	// Any remaining text after the last tool call
+	const remainingText = content.slice(lastIndex).trim();
+
+	if (currentTurn.toolCalls.length > 0) {
+		turns.push(currentTurn);
+	}
+
+	// If there's text after all tool calls, it's the final assistant response
+	if (remainingText) {
+		// Remove any partial/open markers
+		const cleanRemaining = remainingText
+			.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
+			.trim();
+		if (cleanRemaining) {
+			turns.push({ textBefore: cleanRemaining, toolCalls: [] });
+		}
+	}
+
+	// If no tool calls found at all, return the original content as a single turn
+	if (turns.length === 0) {
+		turns.push({ textBefore: content.trim(), toolCalls: [] });
+	}
+
+	return turns;
+}
+
+/**
+ * Migrate a single conversation's messages from legacy format to new format.
+ */
+async function migrateConversation(convId: string): Promise<number> {
+	const allMessages = await DatabaseService.getConversationMessages(convId);
+	let migratedCount = 0;
+
+	for (const message of allMessages) {
+		if (message.role !== MessageRole.ASSISTANT) continue;
+		if (!hasLegacyMarkers(message)) {
+			// Still check for reasoning-only markers (no tool calls)
+			if (message.content?.includes(LEGACY_REASONING_TAGS.START)) {
+				const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+				await DatabaseService.updateMessage(message.id, {
+					content: cleanContent.trim(),
+					reasoningContent: reasoning || undefined
+				});
+				migratedCount++;
+			}
+			continue;
+		}
+
+		// Has agentic markers - full migration needed
+		const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+		const turns = parseLegacyToolCalls(cleanContent);
+
+		// Parse existing toolCalls JSON to try to match IDs
+		let existingToolCalls: Array<{ id: string; function?: { name: string; arguments: string } }> =
+			[];
+		if (message.toolCalls) {
+			try {
+				existingToolCalls = JSON.parse(message.toolCalls);
+			} catch {
+				// Ignore
+			}
+		}
+
+		// First turn uses the existing message
+		const firstTurn = turns[0];
+		if (!firstTurn) continue;
+
+		// Match tool calls from the first turn to existing IDs
+		const firstTurnToolCalls = firstTurn.toolCalls.map((tc, i) => {
+			const existing =
+				existingToolCalls.find((e) => e.function?.name === tc.name) || existingToolCalls[i];
+			return {
+				id: existing?.id || `legacy_tool_${i}`,
+				type: 'function' as const,
+				function: { name: tc.name, arguments: tc.args }
+			};
+		});
+
+		// Update the existing message for the first turn
+		await DatabaseService.updateMessage(message.id, {
+			content: firstTurn.textBefore,
+			reasoningContent: reasoning || undefined,
+			toolCalls: firstTurnToolCalls.length > 0 ? JSON.stringify(firstTurnToolCalls) : ''
+		});
+
+		let currentParentId = message.id;
+		let toolCallIdCounter = existingToolCalls.length;
+
+		// Create tool result messages for the first turn
+		for (let i = 0; i < firstTurn.toolCalls.length; i++) {
+			const tc = firstTurn.toolCalls[i];
+			const toolCallId = firstTurnToolCalls[i]?.id || `legacy_tool_${i}`;
+
+			const toolMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.TOOL,
+					content: tc.result,
+					toolCallId,
+					timestamp: message.timestamp + i + 1,
+					toolCalls: '',
+					children: []
+				},
+				currentParentId
+			);
+			currentParentId = toolMsg.id;
+		}
+
+		// Create messages for subsequent turns
+		for (let turnIdx = 1; turnIdx < turns.length; turnIdx++) {
+			const turn = turns[turnIdx];
+
+			const turnToolCalls = turn.toolCalls.map((tc, i) => {
+				const idx = toolCallIdCounter + i;
+				const existing = existingToolCalls[idx];
+				return {
+					id: existing?.id || `legacy_tool_${idx}`,
+					type: 'function' as const,
+					function: { name: tc.name, arguments: tc.args }
+				};
+			});
+			toolCallIdCounter += turn.toolCalls.length;
+
+			// Create assistant message for this turn
+			const assistantMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.ASSISTANT,
+					content: turn.textBefore,
+					timestamp: message.timestamp + turnIdx * 100,
+					toolCalls: turnToolCalls.length > 0 ? JSON.stringify(turnToolCalls) : '',
+					children: [],
+					model: message.model
+				},
+				currentParentId
+			);
+			currentParentId = assistantMsg.id;
+
+			// Create tool result messages for this turn
+			for (let i = 0; i < turn.toolCalls.length; i++) {
+				const tc = turn.toolCalls[i];
+				const toolCallId = turnToolCalls[i]?.id || `legacy_tool_${toolCallIdCounter + i}`;
+
+				const toolMsg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content: tc.result,
+						toolCallId,
+						timestamp: message.timestamp + turnIdx * 100 + i + 1,
+						toolCalls: '',
+						children: []
+					},
+					currentParentId
+				);
+				currentParentId = toolMsg.id;
+			}
+		}
+
+		// Re-parent any children of the original message to the last created message
+		// (the original message's children list was the next user message or similar)
+		if (message.children.length > 0 && currentParentId !== message.id) {
+			for (const childId of message.children) {
+				// Skip children we just created (they were already properly parented)
+				const child = allMessages.find((m) => m.id === childId);
+				if (!child) continue;
+				// Only re-parent non-tool messages that were original children
+				if (child.role !== MessageRole.TOOL) {
+					await DatabaseService.updateMessage(childId, { parent: currentParentId });
+					// Add to new parent's children
+					const newParent = await DatabaseService.getConversationMessages(convId).then((msgs) =>
+						msgs.find((m) => m.id === currentParentId)
+					);
+					if (newParent && !newParent.children.includes(childId)) {
+						await DatabaseService.updateMessage(currentParentId, {
+							children: [...newParent.children, childId]
+						});
+					}
+				}
+			}
+			// Clear re-parented children from the original message
+			await DatabaseService.updateMessage(message.id, { children: [] });
+		}
+
+		migratedCount++;
+	}
+
+	return migratedCount;
+}
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Run the full migration across all conversations.
+ * This should be called once at app startup if migration is needed.
+ */
+export async function runLegacyMigration(): Promise<void> {
+	if (!isMigrationNeeded()) return;
+
+	console.log('[Migration] Starting legacy message format migration...');
+
+	try {
+		const conversations = await DatabaseService.getAllConversations();
+		let totalMigrated = 0;
+
+		for (const conv of conversations) {
+			const count = await migrateConversation(conv.id);
+			totalMigrated += count;
+		}
+
+		if (totalMigrated > 0) {
+			console.log(
+				`[Migration] Migrated ${totalMigrated} messages across ${conversations.length} conversations`
+			);
+		} else {
+			console.log('[Migration] No legacy messages found, marking as done');
+		}
+
+		markMigrationDone();
+	} catch (error) {
+		console.error('[Migration] Failed to migrate legacy messages:', error);
+		// Still mark as done to avoid infinite retry loops
+		markMigrationDone();
+	}
+}

tools/server/webui/tests/unit/agentic-sections.test.ts

@@ -0,0 +1,211 @@
+import { describe, it, expect } from 'vitest';
+import { deriveAgenticSections, hasAgenticContent } from '$lib/utils/agentic';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+
+function makeAssistant(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'ast-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.ASSISTANT,
+		content: overrides.content ?? '',
+		parent: null,
+		children: [],
+		...overrides
+	} as DatabaseMessage;
+}
+
+function makeToolMsg(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'tool-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.TOOL,
+		content: overrides.content ?? 'tool result',
+		parent: null,
+		children: [],
+		toolCallId: overrides.toolCallId ?? 'call_1',
+		...overrides
+	} as DatabaseMessage;
+}
+
+describe('deriveAgenticSections', () => {
+	it('returns empty array for assistant with no content', () => {
+		const msg = makeAssistant({ content: '' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toEqual([]);
+	});
+
+	it('returns text section for simple assistant message', () => {
+		const msg = makeAssistant({ content: 'Hello world' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Hello world');
+	});
+
+	it('returns reasoning + text for message with reasoning', () => {
+		const msg = makeAssistant({
+			content: 'Answer is 4.',
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[0].content).toBe('Let me think...');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+	});
+
+	it('single turn: assistant with tool calls and results', () => {
+		const msg = makeAssistant({
+			content: 'Let me check.',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"test"}' } }
+			])
+		});
+		const toolResult = makeToolMsg({
+			toolCallId: 'call_1',
+			content: 'Found 3 results'
+		});
+		const sections = deriveAgenticSections(msg, [toolResult]);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('Found 3 results');
+	});
+
+	it('single turn: pending tool call without result', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'bash', arguments: '{}' } }
+			])
+		});
+		const sections = deriveAgenticSections(msg, []);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL_PENDING);
+		expect(sections[0].toolName).toBe('bash');
+	});
+
+	it('multi-turn: two assistant turns grouped as one session', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: 'Turn 1 text',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"foo"}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'result 1' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Final answer based on results.'
+		});
+
+		// toolMessages contains both tool result and continuation assistant
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2]);
+		expect(sections).toHaveLength(3);
+		// Turn 1
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Turn 1 text');
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('result 1');
+		// Turn 2 (final)
+		expect(sections[2].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[2].content).toBe('Final answer based on results.');
+	});
+
+	it('multi-turn: three turns with tool calls', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: '',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'list_files', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'file1 file2' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Reading file1...',
+			toolCalls: JSON.stringify([
+				{
+					id: 'call_2',
+					type: 'function',
+					function: { name: 'read_file', arguments: '{"path":"file1"}' }
+				}
+			])
+		});
+		const tool2 = makeToolMsg({ id: 'tool-2', toolCallId: 'call_2', content: 'contents of file1' });
+		const assistant3 = makeAssistant({
+			id: 'ast-3',
+			content: 'Here is the analysis.',
+			reasoningContent: 'The file contains...'
+		});
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2, tool2, assistant3]);
+		// Turn 1: tool_call (no text since content is empty)
+		// Turn 2: text + tool_call
+		// Turn 3: reasoning + text
+		expect(sections).toHaveLength(5);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[0].toolName).toBe('list_files');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].content).toBe('Reading file1...');
+		expect(sections[2].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[2].toolName).toBe('read_file');
+		expect(sections[3].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[4].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[4].content).toBe('Here is the analysis.');
+	});
+
+	it('multi-turn: streaming tool calls on last turn', () => {
+		const assistant1 = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ toolCallId: 'call_1', content: 'result' });
+		const assistant2 = makeAssistant({ id: 'ast-2', content: '' });
+
+		const streamingToolCalls: ApiChatCompletionToolCall[] = [
+			{ id: 'call_2', type: 'function', function: { name: 'write_file', arguments: '{"pa' } }
+		];
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2], streamingToolCalls);
+		// Turn 1: tool_call
+		// Turn 2 (streaming): streaming tool call
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL)).toBe(true);
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL_STREAMING)).toBe(true);
+	});
+});
+
+describe('hasAgenticContent', () => {
+	it('returns false for plain assistant', () => {
+		const msg = makeAssistant({ content: 'Just text' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+
+	it('returns true when message has toolCalls', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
+			])
+		});
+		expect(hasAgenticContent(msg)).toBe(true);
+	});
+
+	it('returns true when toolMessages are provided', () => {
+		const msg = makeAssistant();
+		const tool = makeToolMsg();
+		expect(hasAgenticContent(msg, [tool])).toBe(true);
+	});
+
+	it('returns false for empty toolCalls JSON', () => {
+		const msg = makeAssistant({ toolCalls: '[]' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+});

tools/server/webui/tests/unit/agentic-strip.test.ts

@@ -1,17 +1,22 @@
 import { describe, it, expect } from 'vitest';
-import { AGENTIC_REGEX } from '$lib/constants/agentic';
+import { LEGACY_AGENTIC_REGEX } from '$lib/constants/agentic';
 
-// Mirror the logic in ChatService.stripReasoningContent so we can test it in isolation.
+/**
-// The real function is private static, so we replicate the strip pipeline here.
+ * Tests for legacy marker stripping (used in migration).
-function stripContextMarkers(content: string): string {
+ * The new system does not embed markers in content - these tests verify
+ * the legacy regex patterns still work for the migration code.
+ */
+
+// Mirror the legacy stripping logic used during migration
+function stripLegacyContextMarkers(content: string): string {
 	return content
-		.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
-		.replace(AGENTIC_REGEX.REASONING_OPEN, '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK.source, 'g'), '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
+		.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
 }
 
-// A realistic complete tool call block as stored in message.content after a turn.
+// A realistic complete tool call block as stored in old message.content
 const COMPLETE_BLOCK =
 	'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
 	'<<<TOOL_NAME:bash_tool>>>\n' +
@@ -30,11 +35,10 @@ const OPEN_BLOCK =
 	'<<<TOOL_ARGS_END>>>\n' +
 	'partial output...';
 
-describe('agentic marker stripping for context', () => {
+describe('legacy agentic marker stripping (for migration)', () => {
 	it('strips a complete tool call block, leaving surrounding text', () => {
 		const input = 'Before.' + COMPLETE_BLOCK + 'After.';
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
-		// markers gone; residual newlines between fragments are fine
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('Before.');
 		expect(result).toContain('After.');
@@ -42,7 +46,7 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips multiple complete tool call blocks', () => {
 		const input = 'A' + COMPLETE_BLOCK + 'B' + COMPLETE_BLOCK + 'C';
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('A');
 		expect(result).toContain('B');
@@ -51,19 +55,19 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips an open/partial tool call block (no END marker)', () => {
 		const input = 'Lead text.' + OPEN_BLOCK;
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).toBe('Lead text.');
 		expect(result).not.toContain('<<<');
 	});
 
 	it('does not alter content with no markers', () => {
 		const input = 'Just a normal assistant response.';
-		expect(stripContextMarkers(input)).toBe(input);
+		expect(stripLegacyContextMarkers(input)).toBe(input);
 	});
 
 	it('strips reasoning block independently', () => {
 		const input = '<<<reasoning_content_start>>>think hard<<<reasoning_content_end>>>Answer.';
-		expect(stripContextMarkers(input)).toBe('Answer.');
+		expect(stripLegacyContextMarkers(input)).toBe('Answer.');
 	});
 
 	it('strips both reasoning and agentic blocks together', () => {
@@ -71,11 +75,21 @@ describe('agentic marker stripping for context', () => {
 			'<<<reasoning_content_start>>>plan<<<reasoning_content_end>>>' +
 			'Some text.' +
 			COMPLETE_BLOCK;
-		expect(stripContextMarkers(input)).not.toContain('<<<');
+		expect(stripLegacyContextMarkers(input)).not.toContain('<<<');
-		expect(stripContextMarkers(input)).toContain('Some text.');
+		expect(stripLegacyContextMarkers(input)).toContain('Some text.');
 	});
 
 	it('empty string survives', () => {
-		expect(stripContextMarkers('')).toBe('');
+		expect(stripLegacyContextMarkers('')).toBe('');
+	});
+
+	it('detects legacy markers', () => {
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('normal text')).toBe(false);
+		expect(
+			LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('text<<<AGENTIC_TOOL_CALL_START>>>more')
+		).toBe(true);
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('<<<reasoning_content_start>>>think')).toBe(
+			true
+		);
 	});
 });

tools/server/webui/tests/unit/reasoning-context.test.ts

@@ -1,196 +1,89 @@
 import { describe, it, expect } from 'vitest';
-import { AGENTIC_REGEX, REASONING_TAGS } from '$lib/constants/agentic';
+import { MessageRole } from '$lib/enums';
-import { ContentPartType } from '$lib/enums';
 
-// Replicate ChatService.extractReasoningFromContent (private static)
+/**
-function extractReasoningFromContent(
+ * Tests for the new reasoning content handling.
-	content: string | Array<{ type: string; text?: string }> | null | undefined
+ * In the new architecture, reasoning content is stored in a dedicated
-): string | undefined {
+ * `reasoningContent` field on DatabaseMessage, not embedded in content with tags.
-	if (!content) return undefined;
+ * The API sends it as `reasoning_content` on ApiChatMessageData.
+ */
 
-	const extractFromString = (text: string): string => {
+describe('reasoning content in new structured format', () => {
-		const parts: string[] = [];
+	it('reasoning is stored as separate field, not in content', () => {
-		const re = new RegExp(AGENTIC_REGEX.REASONING_EXTRACT.source);
+		// Simulate what the new chat store does
-		let match = re.exec(text);
+		const message = {
-		while (match) {
+			content: 'The answer is 4.',
-			parts.push(match[1]);
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
-			text = text.slice(match.index + match[0].length);
-			match = re.exec(text);
-		}
-		return parts.join('');
-	};
-
-	if (typeof content === 'string') {
-		const result = extractFromString(content);
-		return result || undefined;
-	}
-
-	if (!Array.isArray(content)) return undefined;
-
-	const parts: string[] = [];
-	for (const part of content) {
-		if (part.type === ContentPartType.TEXT && part.text) {
-			const result = extractFromString(part.text);
-			if (result) parts.push(result);
-		}
-	}
-	return parts.length > 0 ? parts.join('') : undefined;
-}
-
-// Replicate ChatService.stripReasoningContent (private static)
-function stripReasoningContent(
-	content: string | Array<{ type: string; text?: string }> | null | undefined
-): typeof content {
-	if (!content) return content;
-
-	if (typeof content === 'string') {
-		return content
-			.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-			.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-			.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-			.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
-	}
-
-	if (!Array.isArray(content)) return content;
-
-	return content.map((part) => {
-		if (part.type !== ContentPartType.TEXT || !part.text) return part;
-		return {
-			...part,
-			text: part.text
-				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
 		};
-	});
-}
 
-// Simulate the message mapping logic from ChatService.sendMessage
+		// Content should be clean
-function buildApiMessage(
+		expect(message.content).not.toContain('<<<');
-	content: string,
+		expect(message.content).toBe('The answer is 4.');
-	excludeReasoningFromContext: boolean
+
-): { role: string; content: string; reasoning_content?: string } {
+		// Reasoning in dedicated field
-	const cleaned = stripReasoningContent(content) as string;
+		expect(message.reasoningContent).toBe('Let me think: 2+2=4, basic arithmetic.');
-	const mapped: { role: string; content: string; reasoning_content?: string } = {
+	});
-		role: 'assistant',
+
-		content: cleaned
+	it('convertDbMessageToApiChatMessageData includes reasoning_content', () => {
-	};
+		// Simulate the conversion logic
-	if (!excludeReasoningFromContext) {
+		const dbMessage = {
-		const reasoning = extractReasoningFromContent(content);
+			role: MessageRole.ASSISTANT,
-		if (reasoning) {
+			content: 'The answer is 4.',
-			mapped.reasoning_content = reasoning;
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
+		};
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
 		}
-	}
-	return mapped;
-}
 
-// Helper: wrap reasoning the same way the chat store does during streaming
+		expect(apiMessage.content).toBe('The answer is 4.');
-function wrapReasoning(reasoning: string, content: string): string {
+		expect(apiMessage.reasoning_content).toBe('Let me think: 2+2=4, basic arithmetic.');
-	return `${REASONING_TAGS.START}${reasoning}${REASONING_TAGS.END}${content}`;
+		// No internal tags leak into either field
-}
+		expect(apiMessage.content).not.toContain('<<<');
-
+		expect(apiMessage.reasoning_content).not.toContain('<<<');
-describe('reasoning content extraction', () => {
-	it('extracts reasoning from tagged string content', () => {
-		const input = wrapReasoning('step 1, step 2', 'The answer is 42.');
-		const result = extractReasoningFromContent(input);
-		expect(result).toBe('step 1, step 2');
 	});
 
-	it('returns undefined when no reasoning tags present', () => {
+	it('API message excludes reasoning when excludeReasoningFromContext is true', () => {
-		expect(extractReasoningFromContent('Just a normal response.')).toBeUndefined();
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'The answer is 4.',
+			reasoningContent: 'internal thinking'
+		};
+
+		const excludeReasoningFromContext = true;
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (!excludeReasoningFromContext && dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
+
+		expect(apiMessage.content).toBe('The answer is 4.');
+		expect(apiMessage.reasoning_content).toBeUndefined();
 	});
 
-	it('returns undefined for null/empty input', () => {
+	it('handles messages with no reasoning', () => {
-		expect(extractReasoningFromContent(null)).toBeUndefined();
+		const dbMessage = {
-		expect(extractReasoningFromContent(undefined)).toBeUndefined();
+			role: MessageRole.ASSISTANT,
-		expect(extractReasoningFromContent('')).toBeUndefined();
+			content: 'No reasoning here.',
-	});
+			reasoningContent: undefined
+		};
 
-	it('extracts reasoning from content part arrays', () => {
+		const apiMessage: Record<string, unknown> = {
-		const input = [
+			role: dbMessage.role,
-			{
+			content: dbMessage.content
-				type: ContentPartType.TEXT,
+		};
-				text: wrapReasoning('thinking hard', 'result')
+		if (dbMessage.reasoningContent) {
-			}
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
-		];
+		}
-		expect(extractReasoningFromContent(input)).toBe('thinking hard');
-	});
 
-	it('handles multiple reasoning blocks', () => {
+		expect(apiMessage.content).toBe('No reasoning here.');
-		const input =
+		expect(apiMessage.reasoning_content).toBeUndefined();
-			REASONING_TAGS.START +
-			'block1' +
-			REASONING_TAGS.END +
-			'middle' +
-			REASONING_TAGS.START +
-			'block2' +
-			REASONING_TAGS.END +
-			'end';
-		expect(extractReasoningFromContent(input)).toBe('block1block2');
-	});
-
-	it('ignores non-text content parts', () => {
-		const input = [{ type: 'image_url', text: wrapReasoning('hidden', 'img') }];
-		expect(extractReasoningFromContent(input)).toBeUndefined();
-	});
-});
-
-describe('strip reasoning content', () => {
-	it('removes reasoning tags from string content', () => {
-		const input = wrapReasoning('internal thoughts', 'visible answer');
-		expect(stripReasoningContent(input)).toBe('visible answer');
-	});
-
-	it('removes reasoning from content part arrays', () => {
-		const input = [
-			{
-				type: ContentPartType.TEXT,
-				text: wrapReasoning('thoughts', 'answer')
-			}
-		];
-		const result = stripReasoningContent(input) as Array<{ type: string; text?: string }>;
-		expect(result[0].text).toBe('answer');
-	});
-});
-
-describe('API message building with reasoning preservation', () => {
-	const storedContent = wrapReasoning('Let me think: 2+2=4, basic arithmetic.', 'The answer is 4.');
-
-	it('preserves reasoning_content when excludeReasoningFromContext is false', () => {
-		const msg = buildApiMessage(storedContent, false);
-		expect(msg.content).toBe('The answer is 4.');
-		expect(msg.reasoning_content).toBe('Let me think: 2+2=4, basic arithmetic.');
-		// no internal tags leak into either field
-		expect(msg.content).not.toContain('<<<');
-		expect(msg.reasoning_content).not.toContain('<<<');
-	});
-
-	it('strips reasoning_content when excludeReasoningFromContext is true', () => {
-		const msg = buildApiMessage(storedContent, true);
-		expect(msg.content).toBe('The answer is 4.');
-		expect(msg.reasoning_content).toBeUndefined();
-	});
-
-	it('handles content with no reasoning in both modes', () => {
-		const plain = 'No reasoning here.';
-		const msgPreserve = buildApiMessage(plain, false);
-		const msgExclude = buildApiMessage(plain, true);
-		expect(msgPreserve.content).toBe(plain);
-		expect(msgPreserve.reasoning_content).toBeUndefined();
-		expect(msgExclude.content).toBe(plain);
-		expect(msgExclude.reasoning_content).toBeUndefined();
-	});
-
-	it('cleans agentic tool call blocks from content even when preserving reasoning', () => {
-		const input =
-			wrapReasoning('plan', 'text') +
-			'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
-			'<<<TOOL_NAME:bash>>>\n' +
-			'<<<TOOL_ARGS_START>>>\n{}\n<<<TOOL_ARGS_END>>>\nout\n' +
-			'<<<AGENTIC_TOOL_CALL_END>>>\n';
-		const msg = buildApiMessage(input, false);
-		expect(msg.content).not.toContain('<<<');
-		expect(msg.reasoning_content).toBe('plan');
 	});
 });