Merge branch 'feat/ai-trace-thread' into feat/ai-trace-thread-normalize

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

.github/workflows/integrationci.yaml

@@ -68,6 +68,7 @@ jobs:
           - semconvfamilies
           - serviceaccount
           - spanmapper
+          - tracedetail
           - querier_json_body
           - querier_skip_resource_fingerprint
           - ttl

docs/api/openapi.yml

@@ -1,5 +1,44 @@
 components:
   schemas:
+    AiobservabilitytypesMessage:
+      properties:
+        content:
+          items:
+            $ref: '#/components/schemas/AiobservabilitytypesPart'
+          type: array
+        finishReason:
+          type: string
+        role:
+          type: string
+      required:
+      - content
+      type: object
+    AiobservabilitytypesPart:
+      properties:
+        arguments: {}
+        content:
+          type: string
+        id:
+          type: string
+        isError:
+          type: boolean
+        name:
+          type: string
+        toolCallId:
+          type: string
+        type:
+          $ref: '#/components/schemas/AiobservabilitytypesPartType'
+      required:
+      - type
+      type: object
+    AiobservabilitytypesPartType:
+      enum:
+      - text
+      - thinking
+      - tool_call
+      - tool_result
+      - generic
+      type: string
     AlertmanagertypesChannel:
       properties:
         createdAt:
@@ -9693,6 +9732,19 @@ components:
       required:
       - aggregations
       type: object
+    SpantypesGettableTraceThread:
+      properties:
+        nextCursor:
+          type: string
+        prevCursor:
+          type: string
+        spans:
+          items:
+            $ref: '#/components/schemas/SpantypesThreadSpan'
+          type: array
+      required:
+      - spans
+      type: object
     SpantypesGettableWaterfallTrace:
       properties:
         endTimestampMillis:
@@ -10007,6 +10059,92 @@ components:
           nullable: true
           type: object
       type: object
+    SpantypesThreadSpan:
+      properties:
+        attributes:
+          additionalProperties: {}
+          nullable: true
+          type: object
+        db_name:
+          type: string
+        db_operation:
+          type: string
+        duration_nano:
+          minimum: 0
+          type: integer
+        events:
+          items:
+            $ref: '#/components/schemas/SpantypesEvent'
+          nullable: true
+          type: array
+        external_http_method:
+          type: string
+        external_http_url:
+          type: string
+        flags:
+          minimum: 0
+          type: integer
+        formatted_input:
+          items:
+            $ref: '#/components/schemas/AiobservabilitytypesMessage'
+          type: array
+        formatted_output:
+          items:
+            $ref: '#/components/schemas/AiobservabilitytypesMessage'
+          type: array
+        has_children:
+          type: boolean
+        has_error:
+          type: boolean
+        http_host:
+          type: string
+        http_method:
+          type: string
+        http_url:
+          type: string
+        is_remote:
+          type: string
+        kind_string:
+          type: string
+        level:
+          minimum: 0
+          type: integer
+        name:
+          type: string
+        parent_span_id:
+          type: string
+        references:
+          items:
+            $ref: '#/components/schemas/SpantypesOtelSpanRef'
+          type: array
+        resource:
+          additionalProperties:
+            type: string
+          nullable: true
+          type: object
+        response_status_code:
+          type: string
+        span_id:
+          type: string
+        status_code:
+          type: integer
+        status_code_string:
+          type: string
+        status_message:
+          type: string
+        sub_tree_node_count:
+          minimum: 0
+          type: integer
+        time_unix:
+          minimum: 0
+          type: integer
+        trace_id:
+          type: string
+        trace_state:
+          type: string
+      required:
+      - references
+      type: object
     SpantypesUpdatableSpanMapper:
       properties:
         config:
@@ -15731,6 +15869,90 @@ paths:
       tags:
       - tracedetail
       x-signoz-stability: alpha
+  /api/v1/traces/{traceID}/thread:
+    get:
+      deprecated: false
+      description: Returns the spans carrying gen_ai input or output messages in timestamp
+        order, each with the messages normalised into formatted_input and formatted_output.
+        Pass nextCursor as after or prevCursor as before to page, or spanId to open
+        the page around a span.
+      operationId: GetTraceThread
+      parameters:
+      - in: query
+        name: limit
+        schema:
+          type: integer
+      - in: query
+        name: after
+        schema:
+          type: string
+      - in: query
+        name: before
+        schema:
+          type: string
+      - in: query
+        name: spanId
+        schema:
+          type: string
+      - in: path
+        name: traceID
+        required: true
+        schema:
+          type: string
+      responses:
+        "200":
+          content:
+            application/json:
+              schema:
+                properties:
+                  data:
+                    $ref: '#/components/schemas/SpantypesGettableTraceThread'
+                  status:
+                    type: string
+                required:
+                - status
+                - data
+                type: object
+          description: OK
+        "400":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Bad Request
+        "401":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Unauthorized
+        "403":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Forbidden
+        "404":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Not Found
+        "500":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Internal Server Error
+      security:
+      - api_key:
+        - VIEWER
+      - tokenizer:
+        - VIEWER
+      summary: Get thread view for a trace
+      tags:
+      - tracedetail
+      x-signoz-stability: alpha
   /api/v1/user/me:
     get:
       deprecated: true

frontend/src/api/generated/services/sigNoz.schemas.ts

@@ -4,6 +4,53 @@
  * * regenerate with 'pnpm generate:api'
  * SigNoz
  */
+export enum AiobservabilitytypesPartTypeDTO {
+	text = 'text',
+	thinking = 'thinking',
+	tool_call = 'tool_call',
+	tool_result = 'tool_result',
+	generic = 'generic',
+}
+export interface AiobservabilitytypesPartDTO {
+	arguments?: unknown;
+	/**
+	 * @type string
+	 */
+	content?: string;
+	/**
+	 * @type string
+	 */
+	id?: string;
+	/**
+	 * @type boolean
+	 */
+	isError?: boolean;
+	/**
+	 * @type string
+	 */
+	name?: string;
+	/**
+	 * @type string
+	 */
+	toolCallId?: string;
+	type: AiobservabilitytypesPartTypeDTO;
+}
+
+export interface AiobservabilitytypesMessageDTO {
+	/**
+	 * @type array
+	 */
+	content: AiobservabilitytypesPartDTO[];
+	/**
+	 * @type string
+	 */
+	finishReason?: string;
+	/**
+	 * @type string
+	 */
+	role?: string;
+}
+
 export interface AlertmanagertypesChannelDTO {
 	/**
 	 * @type string
@@ -11209,6 +11256,169 @@ export interface SpantypesOtelSpanRefDTO {
 	traceId?: string;
 }
 
+export type SpantypesThreadSpanDTOAttributesAnyOf = { [key: string]: unknown };
+
+/**
+ * @nullable
+ */
+export type SpantypesThreadSpanDTOAttributes =
+	SpantypesThreadSpanDTOAttributesAnyOf | null;
+
+export type SpantypesThreadSpanDTOResourceAnyOf = { [key: string]: string };
+
+/**
+ * @nullable
+ */
+export type SpantypesThreadSpanDTOResource =
+	SpantypesThreadSpanDTOResourceAnyOf | null;
+
+export interface SpantypesThreadSpanDTO {
+	/**
+	 * @type object,null
+	 */
+	attributes?: SpantypesThreadSpanDTOAttributes;
+	/**
+	 * @type string
+	 */
+	db_name?: string;
+	/**
+	 * @type string
+	 */
+	db_operation?: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	duration_nano?: number;
+	/**
+	 * @type array,null
+	 */
+	events?: SpantypesEventDTO[] | null;
+	/**
+	 * @type string
+	 */
+	external_http_method?: string;
+	/**
+	 * @type string
+	 */
+	external_http_url?: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	flags?: number;
+	/**
+	 * @type array
+	 */
+	formatted_input?: AiobservabilitytypesMessageDTO[];
+	/**
+	 * @type array
+	 */
+	formatted_output?: AiobservabilitytypesMessageDTO[];
+	/**
+	 * @type boolean
+	 */
+	has_children?: boolean;
+	/**
+	 * @type boolean
+	 */
+	has_error?: boolean;
+	/**
+	 * @type string
+	 */
+	http_host?: string;
+	/**
+	 * @type string
+	 */
+	http_method?: string;
+	/**
+	 * @type string
+	 */
+	http_url?: string;
+	/**
+	 * @type string
+	 */
+	is_remote?: string;
+	/**
+	 * @type string
+	 */
+	kind_string?: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	level?: number;
+	/**
+	 * @type string
+	 */
+	name?: string;
+	/**
+	 * @type string
+	 */
+	parent_span_id?: string;
+	/**
+	 * @type array
+	 */
+	references: SpantypesOtelSpanRefDTO[];
+	/**
+	 * @type object,null
+	 */
+	resource?: SpantypesThreadSpanDTOResource;
+	/**
+	 * @type string
+	 */
+	response_status_code?: string;
+	/**
+	 * @type string
+	 */
+	span_id?: string;
+	/**
+	 * @type integer
+	 */
+	status_code?: number;
+	/**
+	 * @type string
+	 */
+	status_code_string?: string;
+	/**
+	 * @type string
+	 */
+	status_message?: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	sub_tree_node_count?: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	time_unix?: number;
+	/**
+	 * @type string
+	 */
+	trace_id?: string;
+	/**
+	 * @type string
+	 */
+	trace_state?: string;
+}
+
+export interface SpantypesGettableTraceThreadDTO {
+	/**
+	 * @type string
+	 */
+	nextCursor?: string;
+	/**
+	 * @type string
+	 */
+	prevCursor?: string;
+	/**
+	 * @type array
+	 */
+	spans: SpantypesThreadSpanDTO[];
+}
+
 export type SpantypesWaterfallSpanDTOAttributesAnyOf = {
 	[key: string]: unknown;
 };
@@ -12882,6 +13092,40 @@ export type GetTraceAggregations200 = {
 	status: string;
 };
 
+export type GetTraceThreadPathParameters = {
+	traceID: string;
+};
+export type GetTraceThreadParams = {
+	/**
+	 * @type integer
+	 * @description undefined
+	 */
+	limit?: number;
+	/**
+	 * @type string
+	 * @description undefined
+	 */
+	after?: string;
+	/**
+	 * @type string
+	 * @description undefined
+	 */
+	before?: string;
+	/**
+	 * @type string
+	 * @description undefined
+	 */
+	spanId?: string;
+};
+
+export type GetTraceThread200 = {
+	data: SpantypesGettableTraceThreadDTO;
+	/**
+	 * @type string
+	 */
+	status: string;
+};
+
 export type ListUserPreferences200 = {
 	/**
 	 * @type array

frontend/src/api/generated/services/tracedetail/index.ts

@@ -4,11 +4,17 @@
  * * regenerate with 'pnpm generate:api'
  * SigNoz
  */
-import { useMutation } from 'react-query';
+import { useMutation, useQuery } from 'react-query';
 import type {
+	InvalidateOptions,
 	MutationFunction,
+	QueryClient,
+	QueryFunction,
+	QueryKey,
 	UseMutationOptions,
 	UseMutationResult,
+	UseQueryOptions,
+	UseQueryResult,
 } from 'react-query';
 
 import type {
@@ -16,6 +22,9 @@ import type {
 	GetFlamegraphPathParameters,
 	GetTraceAggregations200,
 	GetTraceAggregationsPathParameters,
+	GetTraceThread200,
+	GetTraceThreadParams,
+	GetTraceThreadPathParameters,
 	GetWaterfallV4200,
 	GetWaterfallV4PathParameters,
 	RenderErrorResponseDTO,
@@ -27,6 +36,26 @@ import type {
 import { GeneratedAPIInstance } from '../../../generatedAPIInstance';
 import type { ErrorType, BodyType } from '../../../generatedAPIInstance';
 
+const withQueryKey = <T extends object, K>(
+	query: T,
+	queryKey: K,
+): T & { queryKey: K } => {
+	const result = { queryKey } as T & { queryKey: K };
+	for (const key of Object.keys(query)) {
+		// The explicit queryKey always wins, matching the previous
+		// `{ ...query, queryKey }` spread where it was set last.
+		if (key === 'queryKey') {
+			continue;
+		}
+		Object.defineProperty(result, key, {
+			enumerable: true,
+			configurable: true,
+			get: () => (query as Record<string, unknown>)[key],
+		});
+	}
+	return result;
+};
+
 /**
  * Computes span aggregations grouped by requested field.
  * @summary Get aggregations for a trace
@@ -127,6 +156,121 @@ export const useGetTraceAggregations = <
 > => {
 	return useMutation(getGetTraceAggregationsMutationOptions(options));
 };
+/**
+ * Returns the spans carrying gen_ai input or output messages in timestamp order, each with the messages normalised into formatted_input and formatted_output. Pass nextCursor as after or prevCursor as before to page, or spanId to open the page around a span.
+ * @summary Get thread view for a trace
+ */
+export const getTraceThread = (
+	{ traceID }: GetTraceThreadPathParameters,
+	params?: GetTraceThreadParams,
+	signal?: AbortSignal,
+) => {
+	return GeneratedAPIInstance<GetTraceThread200>({
+		url: `/api/v1/traces/${traceID}/thread`,
+		method: 'GET',
+		params,
+		signal,
+	});
+};
+
+export const getGetTraceThreadQueryKey = (
+	{ traceID }: GetTraceThreadPathParameters,
+	params?: GetTraceThreadParams,
+) => {
+	return [
+		`/api/v1/traces/${traceID}/thread`,
+		...(params ? [params] : []),
+	] as const;
+};
+
+export const getGetTraceThreadQueryOptions = <
+	TData = Awaited<ReturnType<typeof getTraceThread>>,
+	TError = ErrorType<RenderErrorResponseDTO>,
+>(
+	{ traceID }: GetTraceThreadPathParameters,
+	params?: GetTraceThreadParams,
+	options?: {
+		query?: UseQueryOptions<
+			Awaited<ReturnType<typeof getTraceThread>>,
+			TError,
+			TData
+		>;
+	},
+) => {
+	const { query: queryOptions } = options ?? {};
+
+	const queryKey =
+		queryOptions?.queryKey ?? getGetTraceThreadQueryKey({ traceID }, params);
+
+	const queryFn: QueryFunction<Awaited<ReturnType<typeof getTraceThread>>> = ({
+		signal,
+	}) => getTraceThread({ traceID }, params, signal);
+
+	return {
+		queryKey,
+		queryFn,
+		enabled: traceID !== null && traceID !== undefined,
+		...queryOptions,
+	} as UseQueryOptions<
+		Awaited<ReturnType<typeof getTraceThread>>,
+		TError,
+		TData
+	> & { queryKey: QueryKey };
+};
+
+export type GetTraceThreadQueryResult = NonNullable<
+	Awaited<ReturnType<typeof getTraceThread>>
+>;
+export type GetTraceThreadQueryError = ErrorType<RenderErrorResponseDTO>;
+
+/**
+ * @summary Get thread view for a trace
+ */
+
+export function useGetTraceThread<
+	TData = Awaited<ReturnType<typeof getTraceThread>>,
+	TError = ErrorType<RenderErrorResponseDTO>,
+>(
+	{ traceID }: GetTraceThreadPathParameters,
+	params?: GetTraceThreadParams,
+	options?: {
+		query?: UseQueryOptions<
+			Awaited<ReturnType<typeof getTraceThread>>,
+			TError,
+			TData
+		>;
+	},
+): UseQueryResult<TData, TError> & { queryKey: QueryKey } {
+	const queryOptions = getGetTraceThreadQueryOptions(
+		{ traceID },
+		params,
+		options,
+	);
+
+	const query = useQuery(queryOptions) as UseQueryResult<TData, TError> & {
+		queryKey: QueryKey;
+	};
+
+	return withQueryKey(query, queryOptions.queryKey);
+}
+
+/**
+ * @summary Get thread view for a trace
+ */
+export const invalidateGetTraceThread = async (
+	queryClient: QueryClient,
+	{ traceID }: GetTraceThreadPathParameters,
+	params?: GetTraceThreadParams,
+	options?: InvalidateOptions,
+): Promise<QueryClient> => {
+	await queryClient.invalidateQueries(
+		{ queryKey: getGetTraceThreadQueryKey({ traceID }, params) },
+		options,
+	);
+
+	return queryClient;
+};
+
 /**
  * Returns the flamegraph view of spans for a given trace ID.
  * @summary Get flamegraph view for a trace

frontend/src/pages/TraceDetailsV3/EntityMetadata/EntityMetadataItem.tsx

@@ -5,23 +5,18 @@ import { Typography } from '@signozhq/ui/typography';
 import styles from './EntityMetadataItem.module.scss';
 
 interface EntityMetadataItemProps {
-	tooltip: ReactNode;
-	tooltipClassName?: string;
+	tooltip: string;
 	icon?: ReactNode;
 	children: ReactNode;
 }
 
 function EntityMetadataItem({
 	tooltip,
-	tooltipClassName,
 	icon,
 	children,
 }: EntityMetadataItemProps): JSX.Element {
 	return (
-		<TooltipSimple
-			title={tooltip}
-			tooltipContentProps={{ className: tooltipClassName }}
-		>
+		<TooltipSimple title={tooltip}>
 			<span className={styles.item}>
 				{icon}
 				<Typography.Text as="span">{children}</Typography.Text>
@@ -32,7 +27,6 @@ function EntityMetadataItem({
 
 EntityMetadataItem.defaultProps = {
 	icon: null,
-	tooltipClassName: undefined,
 };
 
 export default EntityMetadataItem;

frontend/src/pages/TraceDetailsV3/EntityMetadata/EntityMetadataRow.module.scss

@@ -8,7 +8,3 @@
 	// Keep Typography.Text at the row's size (it reads this var, not inherited font-size).
 	--typography-font-size: var(--periscope-font-size-base);
 }
-
-.tokenTooltip {
-	min-width: 160px;
-}

frontend/src/pages/TraceDetailsV3/EntityMetadata/EntityMetadataRow.tsx

@@ -1,21 +1,11 @@
-import {
-	CalendarClock,
-	CircleDollarSign,
-	Coins,
-	Server,
-	Timer,
-} from '@signozhq/icons';
+import { CalendarClock, Server, Timer } from '@signozhq/icons';
 import { Badge } from '@signozhq/ui/badge';
 import cx from 'classnames';
 import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
 import HttpStatusBadge from 'components/HttpStatusBadge/HttpStatusBadge';
 
-import { formatCost, formatTokens } from '../SpanHoverCard/aiUsage';
-import { TraceTokenUsage } from '../TraceDetailsHeader/types';
 import EntityMetadataItem from './EntityMetadataItem';
-import TokenUsageTooltip from './TokenUsageTooltip';
 
-import tooltipStyles from '../TraceTooltip/TraceTooltip.module.scss';
 import styles from './EntityMetadataRow.module.scss';
 
 interface EntityMetadataRowProps {
@@ -26,8 +16,6 @@ interface EntityMetadataRowProps {
 	execTimePercent?: number;
 	timestamp?: string;
 	statusCode?: string | number;
-	tokens?: TraceTokenUsage;
-	cost?: number | null;
 }
 
 const ICON_SIZE = 14;
@@ -44,8 +32,6 @@ function EntityMetadataRow({
 	execTimePercent,
 	timestamp,
 	statusCode,
-	tokens,
-	cost,
 }: EntityMetadataRowProps): JSX.Element {
 	const entityLabel = entity === 'trace' ? 'Trace' : 'Span';
 	const durationTooltip =
@@ -105,25 +91,6 @@ function EntityMetadataRow({
 					<HttpStatusBadge statusCode={statusCode} />
 				</EntityMetadataItem>
 			)}
-
-			{tokens && (
-				<EntityMetadataItem
-					tooltip={<TokenUsageTooltip tokens={tokens} />}
-					tooltipClassName={tooltipStyles.tooltipContent}
-					icon={<Coins size={ICON_SIZE} />}
-				>
-					Tokens: {formatTokens(tokens.input)} → {formatTokens(tokens.output)}
-				</EntityMetadataItem>
-			)}
-
-			{cost != null && (
-				<EntityMetadataItem
-					tooltip="Total cost"
-					icon={<CircleDollarSign size={ICON_SIZE} />}
-				>
-					{formatCost(cost)}
-				</EntityMetadataItem>
-			)}
 		</div>
 	);
 }
@@ -135,8 +102,6 @@ EntityMetadataRow.defaultProps = {
 	execTimePercent: undefined,
 	timestamp: undefined,
 	statusCode: undefined,
-	tokens: undefined,
-	cost: undefined,
 };
 
 export default EntityMetadataRow;

frontend/src/pages/TraceDetailsV3/EntityMetadata/TokenUsageTooltip.tsx

@@ -1,38 +0,0 @@
-import { formatTokens } from '../SpanHoverCard/aiUsage';
-import TooltipRow from '../TraceTooltip/TooltipRow';
-import TooltipSection from '../TraceTooltip/TooltipSection';
-import { TraceTokenUsage } from '../TraceDetailsHeader/types';
-
-import tooltipStyles from '../TraceTooltip/TraceTooltip.module.scss';
-import styles from './EntityMetadataRow.module.scss';
-
-interface TokenUsageTooltipProps {
-	tokens: TraceTokenUsage;
-}
-
-function TokenUsageTooltip({ tokens }: TokenUsageTooltipProps): JSX.Element {
-	const { input, output, cacheRead, cacheWrite, reasoning } = tokens;
-
-	return (
-		<div className={`${tooltipStyles.body} ${styles.tokenTooltip}`}>
-			<TooltipSection>
-				<TooltipRow label="Tokens" value={formatTokens(input + output)} isTotal />
-			</TooltipSection>
-			<TooltipSection>
-				<TooltipRow label="Input" value={formatTokens(input)} />
-				<TooltipRow label="Output" value={formatTokens(output)} />
-				{cacheRead !== undefined && (
-					<TooltipRow label="Cache read" value={formatTokens(cacheRead)} />
-				)}
-				{cacheWrite !== undefined && (
-					<TooltipRow label="Cache write" value={formatTokens(cacheWrite)} />
-				)}
-				{reasoning !== undefined && (
-					<TooltipRow label="Reasoning" value={formatTokens(reasoning)} />
-				)}
-			</TooltipSection>
-		</div>
-	);
-}
-
-export default TokenUsageTooltip;

frontend/src/pages/TraceDetailsV3/SpanHintBadge/SpanHintBadge.tsx

@@ -1,37 +0,0 @@
-import { CSSProperties } from 'react';
-import { Badge } from '@signozhq/ui/badge';
-import HttpStatusBadge from 'components/HttpStatusBadge/HttpStatusBadge';
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-import { getAiSpanKind } from '../utils/genAi';
-import { AI_SPAN_BADGES } from './constants';
-
-interface SpanHintBadgeProps {
-	span: SpanV3;
-}
-
-function SpanHintBadge({ span }: SpanHintBadgeProps): JSX.Element | null {
-	const aiSpanKind = getAiSpanKind(span);
-
-	if (aiSpanKind) {
-		const { label, color } = AI_SPAN_BADGES[aiSpanKind];
-		return (
-			<Badge
-				variant="outline"
-				// The outline variant derives text, fill and border from this color.
-				style={{ '--badge-background': color } as CSSProperties}
-				data-testid={`span-hint-badge-${aiSpanKind}`}
-			>
-				{label}
-			</Badge>
-		);
-	}
-
-	if (!span.response_status_code) {
-		return null;
-	}
-
-	return <HttpStatusBadge statusCode={span.response_status_code} />;
-}
-
-export default SpanHintBadge;

frontend/src/pages/TraceDetailsV3/SpanHintBadge/__tests__/SpanHintBadge.test.tsx

@@ -1,39 +0,0 @@
-import { render, screen } from '@testing-library/react';
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-import SpanHintBadge from '../SpanHintBadge';
-
-const spanWith = (
-	attributes: Record<string, string | number>,
-	responseStatusCode = '',
-): SpanV3 =>
-	({
-		attributes,
-		resource: {},
-		response_status_code: responseStatusCode,
-	}) as unknown as SpanV3;
-
-describe('SpanHintBadge', () => {
-	it.each([
-		[{ 'gen_ai.request.model': 'gpt-4o' }, 'LLM'],
-		[{ 'gen_ai.tool.name': 'search' }, 'TOOL'],
-		[{ 'gen_ai.agent.name': 'planner' }, 'AGENT'],
-	])('shows only the AI badge for %p', (attributes, label) => {
-		render(<SpanHintBadge span={spanWith(attributes, '200')} />);
-
-		expect(screen.getByText(label)).toBeInTheDocument();
-		expect(screen.queryByText('200')).not.toBeInTheDocument();
-	});
-
-	it('falls back to the HTTP status code for non-AI spans', () => {
-		render(<SpanHintBadge span={spanWith({}, '503')} />);
-
-		expect(screen.getByText('503')).toBeInTheDocument();
-	});
-
-	it('renders nothing for a non-AI span without a status code', () => {
-		const { container } = render(<SpanHintBadge span={spanWith({})} />);
-
-		expect(container).toBeEmptyDOMElement();
-	});
-});

frontend/src/pages/TraceDetailsV3/SpanHintBadge/constants.ts

@@ -1,10 +0,0 @@
-import { AiSpanKind } from '../utils/genAi';
-
-export const AI_SPAN_BADGES: Record<
-	AiSpanKind,
-	{ label: string; color: string }
-> = {
-	[AiSpanKind.Llm]: { label: 'LLM', color: 'rgba(155, 255, 0, 1)' },
-	[AiSpanKind.Tool]: { label: 'TOOL', color: 'rgba(255, 209, 0, 1)' },
-	[AiSpanKind.Agent]: { label: 'AGENT', color: 'rgba(255, 10, 138, 1)' },
-};

frontend/src/pages/TraceDetailsV3/SpanHoverCard/SpanHoverCard.module.scss

@@ -12,16 +12,37 @@
 	// Hover card may be rendered while the SpanDetailsPanel is docked as
 	// a FloatingPanel (z-index 999); bump above the default tooltip z-index.
 	--tooltip-z-index: 1000;
+	background-color: var(--l1-background);
+	padding: 8px 12px;
+	border-radius: 4px;
+	box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
+	border: 1px solid var(--l2-border);
+	color: var(--l1-foreground);
 }
 
 .content {
-	min-width: 220px;
-	max-width: 320px;
+	font-size: 12px;
+	color: var(--l1-foreground);
 }
 
-.header {
-	display: flex;
-	flex-direction: column;
-	gap: 4px;
-	padding-bottom: 8px;
+.name {
+	font-weight: 600;
+	margin-bottom: 4px;
+}
+
+.row {
+	line-height: 1.5;
+	color: var(--l2-foreground);
+}
+
+.preview {
+	// container for additional preview rows
+}
+
+.previewKey {
+	color: var(--l2-foreground);
+}
+
+.previewValue {
+	color: var(--l1-foreground);
 }

frontend/src/pages/TraceDetailsV3/SpanHoverCard/SpanHoverCard.tsx

@@ -4,8 +4,6 @@ import {
 	TooltipProvider,
 	TooltipTrigger,
 } from '@signozhq/ui/tooltip';
-import { Typography } from '@signozhq/ui/typography';
-import cx from 'classnames';
 import { convertTimeToRelevantUnit } from 'utils/traceUtils';
 import { useIsDarkMode } from 'hooks/useDarkMode';
 import { useTraceStore } from 'pages/TraceDetailsV3/stores/traceStore';
@@ -14,12 +12,6 @@ import { useMemo } from 'react';
 import { SpanV3 } from 'types/api/trace/getTraceV3';
 import { toFixed } from 'utils/toFixed';
 
-import { getSpanAiDetails, SpanAiDetails } from './aiUsage';
-import SpanUsageBreakdown from './SpanUsageBreakdown';
-import TooltipRow from '../TraceTooltip/TooltipRow';
-import TooltipSection from '../TraceTooltip/TooltipSection';
-
-import tooltipStyles from '../TraceTooltip/TraceTooltip.module.scss';
 import styles from './SpanHoverCard.module.scss';
 
 /**
@@ -46,7 +38,6 @@ export interface SpanTooltipContentProps {
 	relativeStartMs: number;
 	durationMs: number;
 	previewRows?: SpanPreviewRow[];
-	ai?: SpanAiDetails;
 }
 
 export function SpanTooltipContent({
@@ -56,46 +47,33 @@ export function SpanTooltipContent({
 	relativeStartMs,
 	durationMs,
 	previewRows,
-	ai,
 }: SpanTooltipContentProps): JSX.Element {
 	const { time: formattedDuration, timeUnitName } =
 		convertTimeToRelevantUnit(durationMs);
 
 	return (
-		<div className={cx(tooltipStyles.body, styles.content)}>
-			<div className={styles.header}>
-				<Typography.Text className={tooltipStyles.title} style={{ color }}>
-					{spanName}
-				</Typography.Text>
-				{ai?.usage && (
-					<Typography.Text size="small" weight="medium">
-						Usage Breakdown
-					</Typography.Text>
-				)}
+		<div className={styles.content}>
+			<div className={styles.name} style={{ color }}>
+				{spanName}
+			</div>
+			<div className={styles.row}>status: {hasError ? 'error' : 'ok'}</div>
+			<div className={styles.row}>start: {toFixed(relativeStartMs, 2)} ms</div>
+			<div className={styles.row}>
+				duration: {toFixed(formattedDuration, 2)} {timeUnitName}
 			</div>
-			{ai?.usage && <SpanUsageBreakdown usage={ai.usage} />}
-			<TooltipSection>
-				{ai?.model && <TooltipRow label="model" value={ai.model} />}
-				{ai?.toolName && <TooltipRow label="tool" value={ai.toolName} />}
-				{ai?.agentName && <TooltipRow label="agent" value={ai.agentName} />}
-				<TooltipRow label="status" value={hasError ? 'error' : 'ok'} />
-				<TooltipRow label="start" value={`${toFixed(relativeStartMs, 2)} ms`} />
-				<TooltipRow
-					label="duration"
-					value={`${toFixed(formattedDuration, 2)} ${timeUnitName}`}
-				/>
-			</TooltipSection>
 			{previewRows && previewRows.length > 0 && (
-				<TooltipSection>
+				<div className={styles.preview}>
 					{previewRows.map((row) => (
-						<TooltipRow
+						<div
 							key={row.key}
-							label={row.key}
-							value={row.value}
-							testId={`span-hover-card-preview-${row.key}`}
-						/>
+							className={styles.row}
+							data-testid={`span-hover-card-preview-${row.key}`}
+						>
+							<span className={styles.previewKey}>{row.key}:</span>{' '}
+							<span className={styles.previewValue}>{row.value}</span>
+						</div>
 					))}
-				</TooltipSection>
+				</div>
 			)}
 		</div>
 	);
@@ -159,7 +137,6 @@ export function SpanHoverCard({
 				relativeStartMs: span.timestamp - traceStartTime,
 				durationMs: span.duration_nano / 1e6,
 				previewRows,
-				ai: getSpanAiDetails(span),
 			},
 		};
 	}, [
@@ -189,7 +166,7 @@ export function SpanHoverCard({
 					side="right"
 					align="start"
 					sideOffset={8}
-					className={cx(tooltipStyles.tooltipContent, styles.popover)}
+					className={styles.popover}
 				>
 					{hoverCardData && <SpanTooltipContent {...hoverCardData.tooltip} />}
 				</TooltipContent>

frontend/src/pages/TraceDetailsV3/SpanHoverCard/SpanUsageBreakdown.tsx

@@ -1,47 +0,0 @@
-import {
-	formatCost,
-	formatTokens,
-	getUsageTotals,
-	SpanAiUsage,
-} from './aiUsage';
-import TooltipRow from '../TraceTooltip/TooltipRow';
-import TooltipSection from '../TraceTooltip/TooltipSection';
-
-interface SpanUsageBreakdownProps {
-	usage: SpanAiUsage;
-}
-
-function SpanUsageBreakdown({ usage }: SpanUsageBreakdownProps): JSX.Element {
-	const { outputTokens = 0, cacheReadTokens, cacheCreationTokens, cost } = usage;
-	const { inputUsage, totalUsage } = getUsageTotals(usage);
-
-	return (
-		<>
-			<TooltipSection>
-				<TooltipRow label="Input usage" value={formatTokens(inputUsage)} isTotal />
-				{cacheReadTokens !== undefined && (
-					<TooltipRow label="cache read" value={formatTokens(cacheReadTokens)} />
-				)}
-				{cacheCreationTokens !== undefined && (
-					<TooltipRow
-						label="cache creation"
-						value={formatTokens(cacheCreationTokens)}
-					/>
-				)}
-			</TooltipSection>
-			<TooltipSection>
-				<TooltipRow
-					label="Output usage"
-					value={formatTokens(outputTokens)}
-					isTotal
-				/>
-			</TooltipSection>
-			<TooltipSection>
-				<TooltipRow label="Total usage" value={formatTokens(totalUsage)} isTotal />
-				{cost !== undefined && <TooltipRow label="cost" value={formatCost(cost)} />}
-			</TooltipSection>
-		</>
-	);
-}
-
-export default SpanUsageBreakdown;

frontend/src/pages/TraceDetailsV3/SpanHoverCard/__tests__/SpanTooltipContent.test.tsx

@@ -1,144 +0,0 @@
-import { render, screen } from '@testing-library/react';
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-import { getSpanAiDetails, getUsageTotals } from '../aiUsage';
-import { SpanTooltipContent } from '../SpanHoverCard';
-
-const baseProps = {
-	spanName: 'chat gpt-4o',
-	color: '#fff',
-	hasError: false,
-	relativeStartMs: 268,
-	durationMs: 1110,
-};
-
-const spanWith = (attributes: Record<string, string | number>): SpanV3 =>
-	({ attributes, resource: {} }) as unknown as SpanV3;
-
-const usageAttributes = {
-	'gen_ai.usage.input_tokens': 1000,
-	'gen_ai.usage.output_tokens': 200,
-	'gen_ai.usage.cache_read.input_tokens': 600,
-	'gen_ai.usage.cache_creation.input_tokens': 100,
-};
-
-describe('getSpanAiDetails', () => {
-	it('returns undefined for a span without gen_ai attributes', () => {
-		expect(getSpanAiDetails(spanWith({ 'http.method': 'GET' }))).toBeUndefined();
-	});
-
-	it('reads model, tool, agent, token usage and cost', () => {
-		expect(
-			getSpanAiDetails(
-				spanWith({
-					'gen_ai.request.model': 'gpt-4o',
-					'gen_ai.tool.name': 'search',
-					'gen_ai.agent.name': 'planner',
-					'gen_ai.usage.input_tokens': '120',
-					'gen_ai.usage.output_tokens': 30,
-					'signoz.gen_ai.usage.tokens.cost': '0.00000056',
-				}),
-			),
-		).toStrictEqual({
-			model: 'gpt-4o',
-			toolName: 'search',
-			agentName: 'planner',
-			usage: {
-				inputTokens: 120,
-				outputTokens: 30,
-				cacheReadTokens: undefined,
-				cacheCreationTokens: undefined,
-				cost: 0.00000056,
-				isAnthropic: false,
-			},
-		});
-	});
-
-	it.each<Record<string, string>>([
-		{ 'gen_ai.provider.name': 'Anthropic' },
-		{ 'gen_ai.system': 'anthropic' },
-		{ 'gen_ai.response.model': 'claude-sonnet-4' },
-		{ 'gen_ai.request.model': 'anthropic.claude-v2' },
-	])('detects Anthropic from %p', (attributes) => {
-		expect(
-			getSpanAiDetails(spanWith({ ...usageAttributes, ...attributes }))?.usage
-				?.isAnthropic,
-		).toBe(true);
-	});
-});
-
-describe('getUsageTotals', () => {
-	it('adds cache tokens to input for Anthropic', () => {
-		const usage = getSpanAiDetails(
-			spanWith({ ...usageAttributes, 'gen_ai.provider.name': 'anthropic' }),
-		)?.usage;
-
-		expect(usage && getUsageTotals(usage)).toStrictEqual({
-			inputUsage: 1700,
-			totalUsage: 1900,
-		});
-	});
-
-	it('treats input as already including cache tokens for other providers', () => {
-		const usage = getSpanAiDetails(
-			spanWith({ ...usageAttributes, 'gen_ai.provider.name': 'openai' }),
-		)?.usage;
-
-		expect(usage && getUsageTotals(usage)).toStrictEqual({
-			inputUsage: 1000,
-			totalUsage: 1200,
-		});
-	});
-});
-
-describe('SpanTooltipContent', () => {
-	it('renders status, start and duration for a non-AI span', () => {
-		render(<SpanTooltipContent {...baseProps} />);
-
-		expect(screen.getByText('chat gpt-4o')).toBeInTheDocument();
-		expect(screen.getByText('ok')).toBeInTheDocument();
-		expect(screen.getByText('268 ms')).toBeInTheDocument();
-		expect(screen.getByText('1.11 s')).toBeInTheDocument();
-		expect(screen.queryByText('Usage Breakdown')).not.toBeInTheDocument();
-	});
-
-	it('renders the usage breakdown with cache rows and cost', () => {
-		render(
-			<SpanTooltipContent
-				{...baseProps}
-				ai={{
-					model: 'gpt-4o',
-					usage: {
-						inputTokens: 1000,
-						outputTokens: 200,
-						cacheReadTokens: 600,
-						cacheCreationTokens: 100,
-						cost: 0.00000056,
-						isAnthropic: false,
-					},
-				}}
-			/>,
-		);
-
-		expect(screen.getByText('Usage Breakdown')).toBeInTheDocument();
-		expect(screen.getByText('1,000')).toBeInTheDocument();
-		expect(screen.getByText('cache read')).toBeInTheDocument();
-		expect(screen.getByText('600')).toBeInTheDocument();
-		expect(screen.getByText('cache creation')).toBeInTheDocument();
-		expect(screen.getByText('1,200')).toBeInTheDocument();
-		expect(screen.getByText('$ 0.00000056')).toBeInTheDocument();
-	});
-
-	it('hides cache rows and cost when the attributes are absent', () => {
-		render(
-			<SpanTooltipContent
-				{...baseProps}
-				ai={{ usage: { inputTokens: 10, outputTokens: 5, isAnthropic: false } }}
-			/>,
-		);
-
-		expect(screen.queryByText('cache read')).not.toBeInTheDocument();
-		expect(screen.queryByText('cache creation')).not.toBeInTheDocument();
-		expect(screen.queryByText('cost')).not.toBeInTheDocument();
-	});
-});

frontend/src/pages/TraceDetailsV3/SpanHoverCard/aiUsage.ts

@@ -1,97 +0,0 @@
-import { getSpanAttribute } from 'pages/TraceDetailsV3/utils';
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-import { GEN_AI_KEYS } from '../utils/genAi';
-
-export interface SpanAiUsage {
-	inputTokens?: number;
-	outputTokens?: number;
-	cacheReadTokens?: number;
-	cacheCreationTokens?: number;
-	cost?: number;
-	isAnthropic: boolean;
-}
-
-export interface SpanAiDetails {
-	model?: string;
-	toolName?: string;
-	agentName?: string;
-	usage?: SpanAiUsage;
-}
-
-function getNumber(span: SpanV3, key: string): number | undefined {
-	const value = getSpanAttribute(span, key);
-	if (value === undefined || value === '') {
-		return undefined;
-	}
-	const parsed = Number(value);
-	return Number.isFinite(parsed) ? parsed : undefined;
-}
-
-function isAnthropicSpan(span: SpanV3): boolean {
-	const provider = (
-		getSpanAttribute(span, GEN_AI_KEYS.providerName) ??
-		getSpanAttribute(span, GEN_AI_KEYS.system) ??
-		''
-	).toLowerCase();
-	const model = (
-		getSpanAttribute(span, GEN_AI_KEYS.responseModel) ??
-		getSpanAttribute(span, GEN_AI_KEYS.requestModel) ??
-		''
-	).toLowerCase();
-
-	return (
-		provider === 'anthropic' ||
-		model.includes('claude') ||
-		model.includes('anthropic')
-	);
-}
-
-export function getSpanAiDetails(span: SpanV3): SpanAiDetails | undefined {
-	const usage: SpanAiUsage = {
-		inputTokens: getNumber(span, GEN_AI_KEYS.inputTokens),
-		outputTokens: getNumber(span, GEN_AI_KEYS.outputTokens),
-		cacheReadTokens: getNumber(span, GEN_AI_KEYS.cacheReadTokens),
-		cacheCreationTokens: getNumber(span, GEN_AI_KEYS.cacheCreationTokens),
-		cost: getNumber(span, GEN_AI_KEYS.cost),
-		isAnthropic: isAnthropicSpan(span),
-	};
-	const hasUsage =
-		usage.inputTokens !== undefined || usage.outputTokens !== undefined;
-
-	const details: SpanAiDetails = {
-		model: getSpanAttribute(span, GEN_AI_KEYS.requestModel) || undefined,
-		toolName: getSpanAttribute(span, GEN_AI_KEYS.toolName) || undefined,
-		agentName: getSpanAttribute(span, GEN_AI_KEYS.agentName) || undefined,
-		usage: hasUsage ? usage : undefined,
-	};
-
-	return details.model || details.toolName || details.agentName || hasUsage
-		? details
-		: undefined;
-}
-
-/**
- * Anthropic reports input_tokens without cached tokens; every other provider
- * (OpenAI, Azure OpenAI, Gemini, Mistral, DeepSeek, Groq, xAI) counts cached
- * tokens inside input_tokens.
- */
-export function getUsageTotals(usage: SpanAiUsage): {
-	inputUsage: number;
-	totalUsage: number;
-} {
-	const input = usage.inputTokens ?? 0;
-	const inputUsage = usage.isAnthropic
-		? input + (usage.cacheReadTokens ?? 0) + (usage.cacheCreationTokens ?? 0)
-		: input;
-
-	return { inputUsage, totalUsage: inputUsage + (usage.outputTokens ?? 0) };
-}
-
-export function formatTokens(value: number): string {
-	return value.toLocaleString('en-US');
-}
-
-export function formatCost(value: number): string {
-	return `$ ${value.toLocaleString('en-US', { maximumFractionDigits: 10 })}`;
-}

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/TraceDetailsHeader.module.scss

@@ -34,15 +34,6 @@
 	}
 }
 
-.tabs {
-	flex-shrink: 0;
-}
-
-.tab {
-	flex: unset;
-	padding: 0 24px;
-}
-
 .filterSection {
 	display: flex;
 	align-items: center;

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/TraceDetailsHeader.tsx

@@ -1,4 +1,4 @@
-import { useCallback, useEffect, useState } from 'react';
+import { useCallback, useState } from 'react';
 import { useParams } from 'react-router-dom';
 import { Button } from '@signozhq/ui/button';
 import {
@@ -18,26 +18,40 @@ import KeyValueLabel from 'periscope/components/KeyValueLabel';
 import { TraceDetailV3URLProps } from 'types/api/trace/getTraceV3';
 import { DataSource } from 'types/common/queryBuilder';
 
-import { TraceDetailsTab } from '../constants';
 import { TraceDetailEventKeys, TraceDetailEvents } from '../events';
 import { useTraceDetailLogEvent } from '../hooks/useTraceDetailLogEvent';
-import { useTraceDetailsTab } from '../hooks/useTraceDetailsTab';
 import { useTraceStore } from '../stores/traceStore';
 import TraceDownloadPanel from './TraceDownloadPanel';
 import EntityMetadataRow from '../EntityMetadata/EntityMetadataRow';
 import AnalyticsPanel from '../SpanDetailsPanel/AnalyticsPanel/AnalyticsPanel';
 import Filters from '../TraceWaterfall/TraceWaterfallStates/Success/Filters/Filters';
-import { useTraceDetailsStripInfo } from '../useTraceDetailsStripInfo';
 import MissingSpansBanner from './MissingSpansBanner';
-import { useTraceSummary } from './useTraceSummary';
-import TraceDetailsTabs from './TraceDetailsTabs';
 import TraceOptionsMenu from './TraceOptionsMenu';
 
 import styles from './TraceDetailsHeader.module.scss';
 import { DATE_TIME_FORMATS } from 'constants/dateTimeFormats';
 
+interface FilterMetadata {
+	startTime: number;
+	endTime: number;
+	traceId: string;
+}
+
+export interface TraceMetadataForHeader {
+	startTimestampMillis: number;
+	endTimestampMillis: number;
+	rootServiceName: string;
+	rootServiceEntryPoint: string;
+	rootSpanStatusCode: string;
+	hasMissingSpans: boolean;
+	totalSpansCount: number;
+}
+
 interface TraceDetailsHeaderProps {
-	onFilteredSpansChange?: (spanIds: string[], isFilterActive: boolean) => void;
+	filterMetadata: FilterMetadata;
+	onFilteredSpansChange: (spanIds: string[], isFilterActive: boolean) => void;
+	isDataLoaded?: boolean;
+	traceMetadata?: TraceMetadataForHeader;
 }
 
 const SKELETON_COUNT = 3;
@@ -59,22 +73,16 @@ function DetailsLoader(): JSX.Element {
 }
 
 function TraceDetailsHeader({
+	filterMetadata,
 	onFilteredSpansChange,
+	isDataLoaded,
+	traceMetadata,
 }: TraceDetailsHeaderProps): JSX.Element {
 	const { id: traceID } = useParams<TraceDetailV3URLProps>();
-	const { data: summary, isLoading } = useTraceSummary();
 	const [showTraceDetails, setShowTraceDetails] = useState(true);
 	const [isFilterExpanded, setIsFilterExpanded] = useState(false);
 	const [isPreviewFieldsOpen, setIsPreviewFieldsOpen] = useState(false);
 	const [isAnalyticsOpen, setIsAnalyticsOpen] = useState(false);
-	const [tab] = useTraceDetailsTab();
-	const isOverview = tab === TraceDetailsTab.Overview;
-
-	// Overview-only panels must not linger over another tab.
-	useEffect(() => {
-		setIsPreviewFieldsOpen(false);
-		setIsAnalyticsOpen(false);
-	}, [tab]);
 	const previewFields = useTraceStore((s) => s.previewFields);
 	const setPreviewFields = useTraceStore((s) => s.setPreviewFields);
 
@@ -108,13 +116,9 @@ function TraceDetailsHeader({
 		setShowTraceDetails((prev) => !prev);
 	}, []);
 
-	useTraceDetailsStripInfo({
-		totalSpansCount: summary?.totalSpansCount ?? 0,
-		totalErrorSpansCount: summary?.totalErrorSpansCount ?? 0,
-	});
-
-	const startTime = (summary?.startTimestampMillis ?? 0) / 1e3;
-	const endTime = (summary?.endTimestampMillis ?? 0) / 1e3;
+	const durationMs = traceMetadata
+		? traceMetadata.endTimestampMillis - traceMetadata.startTimestampMillis
+		: 0;
 
 	return (
 		<div className={styles.wrapper}>
@@ -136,10 +140,9 @@ function TraceDetailsHeader({
 							badgeValue={traceID || ''}
 							maxCharacters={100}
 						/>
-						<TraceDetailsTabs />
 					</div>
 				)}
-				{isOverview && onFilteredSpansChange && summary && (
+				{isDataLoaded && (
 					<div
 						className={cx(
 							styles.filterSection,
@@ -168,9 +171,9 @@ function TraceDetailsHeader({
 										onToggleTraceDetails={handleToggleTraceDetails}
 										onOpenPreviewFields={(): void => setIsPreviewFieldsOpen(true)}
 										traceId={traceID || ''}
-										startTime={startTime}
-										endTime={endTime}
-										totalSpansCount={summary.totalSpansCount}
+										startTime={filterMetadata.startTime}
+										endTime={filterMetadata.endTime}
+										totalSpansCount={traceMetadata?.totalSpansCount || 0}
 									/>
 								</div>
 							</TooltipProvider>
@@ -180,9 +183,9 @@ function TraceDetailsHeader({
 							className={cx(styles.filter, isFilterExpanded && styles.isExpanded)}
 						>
 							<Filters
-								startTime={startTime}
-								endTime={endTime}
-								traceID={traceID || ''}
+								startTime={filterMetadata.startTime}
+								endTime={filterMetadata.endTime}
+								traceID={filterMetadata.traceId}
 								onFilteredSpansChange={onFilteredSpansChange}
 								isExpanded={isFilterExpanded}
 								onExpand={(): void => setIsFilterExpanded(true)}
@@ -193,29 +196,28 @@ function TraceDetailsHeader({
 				)}
 			</div>
 
-			{(showTraceDetails || !isOverview) && (
+			{showTraceDetails && (
 				<div className={styles.subHeader}>
-					{isLoading || !summary ? (
-						<DetailsLoader />
-					) : (
+					{traceMetadata ? (
 						<EntityMetadataRow
 							entity="trace"
 							service={{
-								name: summary.rootServiceName,
-								entryPoint: summary.rootServiceEntryPoint,
+								name: traceMetadata.rootServiceName,
+								entryPoint: traceMetadata.rootServiceEntryPoint,
 							}}
-							durationMs={summary.endTimestampMillis - summary.startTimestampMillis}
-							timestamp={dayjs(summary.startTimestampMillis).format(
+							durationMs={durationMs}
+							timestamp={dayjs(traceMetadata.startTimestampMillis).format(
 								DATE_TIME_FORMATS.DD_MMM_YYYY_HH_MM_SS,
 							)}
-							tokens={summary.ai?.tokens}
-							cost={summary.ai?.totalCost}
+							statusCode={traceMetadata.rootSpanStatusCode}
 						/>
+					) : (
+						<DetailsLoader />
 					)}
 				</div>
 			)}
 
-			{isOverview && summary?.hasMissingSpans && <MissingSpansBanner />}
+			{traceMetadata?.hasMissingSpans && <MissingSpansBanner />}
 
 			<FieldsSelector
 				isOpen={isPreviewFieldsOpen}

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/TraceDetailsTabs.tsx

@@ -1,44 +0,0 @@
-import { ToggleGroup, ToggleGroupItem } from '@signozhq/ui/toggle-group';
-
-import { TraceDetailsTab } from '../constants';
-import { useTraceDetailsTab } from '../hooks/useTraceDetailsTab';
-
-import styles from './TraceDetailsHeader.module.scss';
-
-function TraceDetailsTabs(): JSX.Element {
-	const [tab, setTab] = useTraceDetailsTab();
-
-	const handleChange = (value: string): void => {
-		// Clicking the active item deselects it and reports ''.
-		if (value) {
-			void setTab(value as TraceDetailsTab);
-		}
-	};
-
-	return (
-		<ToggleGroup
-			type="single"
-			value={tab}
-			onChange={handleChange}
-			className={styles.tabs}
-			size="sm"
-		>
-			<ToggleGroupItem
-				value={TraceDetailsTab.Overview}
-				className={styles.tab}
-				data-testid="trace-details-tab-overview"
-			>
-				Overview
-			</ToggleGroupItem>
-			<ToggleGroupItem
-				value={TraceDetailsTab.Thread}
-				className={styles.tab}
-				data-testid="trace-details-tab-thread"
-			>
-				Thread
-			</ToggleGroupItem>
-		</ToggleGroup>
-	);
-}
-
-export default TraceDetailsTabs;

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/__tests__/TraceDetailsHeader.test.tsx

@@ -1,12 +1,9 @@
 import { fireEvent, screen } from '@testing-library/react';
 import userEvent from '@testing-library/user-event';
 import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
-import { NuqsTestingAdapter } from 'nuqs/adapters/testing';
 import ROUTES from 'constants/routes';
 import { render } from 'tests/test-utils';
 
-import { MOCK_TRACE_SUMMARY } from '../mockTraceSummary';
-import * as traceSummaryModule from '../useTraceSummary';
 import TraceDetailsHeader from '../TraceDetailsHeader';
 
 const mockGoBack = jest.fn();
@@ -53,9 +50,15 @@ jest.mock('components/FieldsSelector', () => ({
 	),
 }));
 
-const baseProps = { onFilteredSpansChange: jest.fn() };
-
-const metadataText = /Missing Span/;
+const baseProps = {
+	filterMetadata: {
+		startTime: 0,
+		endTime: 1,
+		traceId: 'trace-123',
+	},
+	onFilteredSpansChange: jest.fn(),
+	isDataLoaded: false,
+};
 
 describe('TraceDetailsHeader – back button', () => {
 	beforeEach(() => {
@@ -91,8 +94,8 @@ describe('TraceDetailsHeader – action cluster', () => {
 		mockReplace.mockClear();
 	});
 
-	it('does not render the action buttons without a filter handler', () => {
-		render(<TraceDetailsHeader />);
+	it('does not render the action buttons while data is still loading', () => {
+		render(<TraceDetailsHeader {...baseProps} isDataLoaded={false} />);
 
 		expect(
 			screen.queryByRole('button', { name: /^analytics$/i }),
@@ -102,8 +105,8 @@ describe('TraceDetailsHeader – action cluster', () => {
 		).not.toBeInTheDocument();
 	});
 
-	it('renders Analytics and Settings action buttons', () => {
-		render(<TraceDetailsHeader {...baseProps} />);
+	it('renders Analytics and Settings action buttons once data is loaded', () => {
+		render(<TraceDetailsHeader {...baseProps} isDataLoaded />);
 
 		expect(
 			screen.getByRole('button', { name: /^analytics$/i }),
@@ -114,7 +117,7 @@ describe('TraceDetailsHeader – action cluster', () => {
 	});
 
 	it('toggles the AnalyticsPanel open state when the Analytics button is clicked', () => {
-		render(<TraceDetailsHeader {...baseProps} />);
+		render(<TraceDetailsHeader {...baseProps} isDataLoaded />);
 
 		const panel = screen.getByTestId('analytics-panel');
 		expect(panel).toHaveAttribute('data-open', 'false');
@@ -130,125 +133,68 @@ describe('TraceDetailsHeader – action cluster', () => {
 });
 
 describe('TraceDetailsHeader – trace metadata row', () => {
-	afterEach(() => {
-		jest.restoreAllMocks();
-	});
+	// Plain prop, no API mock needed: traceMetadata is passed straight in.
+	const traceMetadata = {
+		startTimestampMillis: 1_700_000_000_000,
+		endTimestampMillis: 1_700_000_120_000, // +120000ms = 2 min
+		rootServiceName: 'inventory-frontend',
+		rootServiceEntryPoint: 'large-trace-root',
+		rootSpanStatusCode: '404',
+		hasMissingSpans: false,
+		totalSpansCount: 42,
+	};
 
-	it('shows skeletons instead of the metadata while the summary loads', () => {
-		jest
-			.spyOn(traceSummaryModule, 'useTraceSummary')
-			.mockReturnValue({ data: undefined, isLoading: true });
-		const { container } = render(<TraceDetailsHeader {...baseProps} />);
-
-		expect(screen.queryByText(metadataText)).not.toBeInTheDocument();
-		expect(container.querySelectorAll('.ant-skeleton-input')).toHaveLength(3);
-	});
-
-	it('renders the summary metadata with tokens and cost', () => {
-		render(<TraceDetailsHeader {...baseProps} />);
-
-		const { startTimestampMillis, endTimestampMillis } = MOCK_TRACE_SUMMARY;
-		const duration = getYAxisFormattedValue(
-			`${endTimestampMillis - startTimestampMillis}`,
-			'ms',
+	it('renders the metadata (service, entry point, duration, status) when provided', () => {
+		render(
+			<TraceDetailsHeader
+				{...baseProps}
+				isDataLoaded
+				traceMetadata={traceMetadata}
+			/>,
 		);
 
-		expect(screen.getByText(metadataText)).toBeInTheDocument();
+		expect(screen.getByText(/inventory-frontend/)).toBeInTheDocument();
+		expect(screen.getByText('large-trace-root')).toBeInTheDocument();
+		expect(screen.getByText('404')).toBeInTheDocument();
+		// Duration goes through the shared formatter (e.g. "2 min").
+		const duration = getYAxisFormattedValue(
+			`${traceMetadata.endTimestampMillis - traceMetadata.startTimestampMillis}`,
+			'ms',
+		);
 		expect(screen.getByText(duration)).toBeInTheDocument();
-		expect(screen.getByText('Tokens: 12,040 → 3,110')).toBeInTheDocument();
-		expect(screen.getByText('$ 0.0421')).toBeInTheDocument();
 	});
 
 	it('is shown by default and can be hidden / shown again via the Trace options menu', async () => {
 		const user = userEvent.setup({ delay: null });
-		render(<TraceDetailsHeader {...baseProps} />);
+		render(
+			<TraceDetailsHeader
+				{...baseProps}
+				isDataLoaded
+				traceMetadata={traceMetadata}
+			/>,
+		);
 
-		expect(screen.getByText(metadataText)).toBeInTheDocument();
+		// Visible by default (showTraceDetails defaults to true).
+		expect(screen.getByText(/inventory-frontend/)).toBeInTheDocument();
 
+		// Hide it.
 		await user.click(screen.getByRole('button', { name: /trace options/i }));
 		await user.click(
 			await screen.findByRole('menuitem', { name: /hide trace details/i }),
 		);
-		expect(screen.queryByText(metadataText)).not.toBeInTheDocument();
+		expect(screen.queryByText(/inventory-frontend/)).not.toBeInTheDocument();
 
+		// Show it again.
 		await user.click(screen.getByRole('button', { name: /trace options/i }));
 		await user.click(
 			await screen.findByRole('menuitem', { name: /show trace details/i }),
 		);
-		expect(screen.getByText(metadataText)).toBeInTheDocument();
-	});
-});
-
-describe('TraceDetailsHeader – tabs', () => {
-	// In-memory URL state, so a tab switch can't leak into the next test.
-	const renderHeader = (): void => {
-		render(
-			<NuqsTestingAdapter hasMemory>
-				<TraceDetailsHeader {...baseProps} />
-			</NuqsTestingAdapter>,
-		);
-	};
-
-	it('shows the Overview-only sections on the Overview tab', () => {
-		renderHeader();
-
-		expect(screen.getByTestId('filters-stub')).toBeInTheDocument();
-		expect(
-			screen.getByRole('button', { name: /^analytics$/i }),
-		).toBeInTheDocument();
-		expect(
-			screen.getByRole('button', { name: /trace options/i }),
-		).toBeInTheDocument();
-		expect(screen.getByTestId('missing-spans-banner')).toBeInTheDocument();
-	});
-
-	it('keeps only the metadata row on the Thread tab', async () => {
-		const user = userEvent.setup({ delay: null });
-		renderHeader();
-
-		await user.click(screen.getByTestId('trace-details-tab-thread'));
-
-		expect(screen.queryByTestId('filters-stub')).not.toBeInTheDocument();
-		expect(
-			screen.queryByRole('button', { name: /^analytics$/i }),
-		).not.toBeInTheDocument();
-		expect(
-			screen.queryByRole('button', { name: /trace options/i }),
-		).not.toBeInTheDocument();
-		expect(screen.queryByTestId('missing-spans-banner')).not.toBeInTheDocument();
-		expect(screen.getByText(metadataText)).toBeInTheDocument();
-	});
-
-	it('shows the metadata row on the Thread tab even when hidden on Overview', async () => {
-		const user = userEvent.setup({ delay: null });
-		renderHeader();
-
-		await user.click(screen.getByRole('button', { name: /trace options/i }));
-		await user.click(
-			await screen.findByRole('menuitem', { name: /hide trace details/i }),
-		);
-		expect(screen.queryByText(metadataText)).not.toBeInTheDocument();
-
-		await user.click(screen.getByTestId('trace-details-tab-thread'));
-
-		expect(screen.getByText(metadataText)).toBeInTheDocument();
-	});
-
-	it('closes the Analytics panel when switching to the Thread tab', async () => {
-		const user = userEvent.setup({ delay: null });
-		renderHeader();
-
-		await user.click(screen.getByRole('button', { name: /^analytics$/i }));
-		expect(screen.getByTestId('analytics-panel')).toHaveAttribute(
-			'data-open',
-			'true',
-		);
-
-		await user.click(screen.getByTestId('trace-details-tab-thread'));
-
-		expect(screen.getByTestId('analytics-panel')).toHaveAttribute(
-			'data-open',
-			'false',
-		);
+		expect(screen.getByText(/inventory-frontend/)).toBeInTheDocument();
+	});
+
+	it('does not render the metadata row when traceMetadata is absent', () => {
+		render(<TraceDetailsHeader {...baseProps} isDataLoaded />);
+
+		expect(screen.queryByText(/inventory-frontend/)).not.toBeInTheDocument();
 	});
 });

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/mockTraceSummary.ts

@@ -1,22 +0,0 @@
-import { TraceSummary } from './types';
-
-// Placeholder until GET /api/v1/traces/{id}/summary feeds the header.
-export const MOCK_TRACE_SUMMARY: TraceSummary = {
-	startTimestampMillis: 1789627365929,
-	endTimestampMillis: 1789627367867,
-	rootServiceName: '',
-	rootServiceEntryPoint: 'Missing Span',
-	totalSpansCount: 3,
-	totalErrorSpansCount: 0,
-	hasMissingSpans: true,
-	ai: {
-		tokens: {
-			input: 12040,
-			output: 3110,
-			cacheRead: 8000,
-			cacheWrite: 1200,
-			reasoning: 900,
-		},
-		totalCost: 0.0421,
-	},
-};

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/types.ts

@@ -1,23 +0,0 @@
-export interface TraceTokenUsage {
-	input: number;
-	output: number;
-	cacheRead?: number;
-	cacheWrite?: number;
-	reasoning?: number;
-}
-
-/** Response of GET /api/v1/traces/{id}/summary. */
-export interface TraceSummary {
-	startTimestampMillis: number;
-	endTimestampMillis: number;
-	rootServiceName: string;
-	rootServiceEntryPoint: string;
-	totalSpansCount: number;
-	totalErrorSpansCount: number;
-	hasMissingSpans: boolean;
-	ai?: {
-		tokens?: TraceTokenUsage;
-		// null when no span has a cost attribute
-		totalCost: number | null;
-	};
-}

frontend/src/pages/TraceDetailsV3/TraceDetailsHeader/useTraceSummary.ts

@@ -1,12 +0,0 @@
-import { MOCK_TRACE_SUMMARY } from './mockTraceSummary';
-import { TraceSummary } from './types';
-
-interface UseTraceSummaryResult {
-	data: TraceSummary | undefined;
-	isLoading: boolean;
-}
-
-// Placeholder until GET /api/v1/traces/{id}/summary is available.
-export function useTraceSummary(): UseTraceSummaryResult {
-	return { data: MOCK_TRACE_SUMMARY, isLoading: false };
-}

frontend/src/pages/TraceDetailsV3/TraceDetailsOverview/TraceDetailsOverview.tsx

@@ -1,500 +0,0 @@
-/* eslint-disable sonarjs/cognitive-complexity */
-import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
-import { useParams } from 'react-router-dom';
-import {
-	ChartNoAxesGantt,
-	ChevronDown,
-	ChevronRight,
-	Info,
-	TriangleAlert,
-} from '@signozhq/icons';
-import getLocalStorageKey from 'api/browser/localstorage/get';
-import setLocalStorageKey from 'api/browser/localstorage/set';
-import { Collapse } from 'antd';
-import { useDetailsPanel } from 'components/DetailsPanel';
-import WarningPopover from 'components/WarningPopover/WarningPopover';
-import { LOCALSTORAGE } from 'constants/localStorage';
-import useGetTraceV4 from 'hooks/trace/useGetTraceV4';
-import { useSafeNavigate } from 'hooks/useSafeNavigate';
-import useUrlQuery from 'hooks/useUrlQuery';
-import { ResizableBox } from 'periscope/components/ResizableBox';
-import { SpanV3, TraceDetailV3URLProps } from 'types/api/trace/getTraceV3';
-
-import { TraceDetailEventKeys, TraceDetailEvents } from '../events';
-import { useTraceDetailLogEvent } from '../hooks/useTraceDetailLogEvent';
-import NoData from '../NoData/NoData';
-import {
-	setTraceStoreAvailableColorByFields,
-	useTraceStore,
-} from '../stores/traceStore';
-import { SpanDetailVariant } from '../SpanDetailsPanel/constants';
-import SpanDetailsPanel from '../SpanDetailsPanel/SpanDetailsPanel';
-import { FLAMEGRAPH_SPAN_LIMIT } from '../TraceFlamegraph/constants';
-import TraceFlamegraph from '../TraceFlamegraph/TraceFlamegraph';
-import TraceWaterfall from '../TraceWaterfall/TraceWaterfall';
-import { IInterestedSpan } from '../TraceWaterfall/types';
-import { getAncestorSpanIds } from '../TraceWaterfall/utils';
-import { getAvailableColorByFieldNames } from '../utils';
-
-import cx from 'classnames';
-
-import styles from './TraceDetailsOverview.module.scss';
-
-// Lucide chevrons for the flame/waterfall accordion headers, matching the
-// span-tree chevrons in the waterfall.
-function renderPanelExpandIcon({
-	isActive,
-}: {
-	isActive?: boolean;
-}): JSX.Element {
-	return isActive ? <ChevronDown size={14} /> : <ChevronRight size={14} />;
-}
-
-interface TraceDetailsOverviewProps {
-	filteredSpanIds: string[];
-	isFilterActive: boolean;
-}
-
-function TraceDetailsOverview({
-	filteredSpanIds,
-	isFilterActive,
-}: TraceDetailsOverviewProps): JSX.Element {
-	const { id: traceId } = useParams<TraceDetailV3URLProps>();
-	const urlQuery = useUrlQuery();
-	const [interestedSpanId, setInterestedSpanId] = useState<IInterestedSpan>(
-		() => ({
-			spanId: urlQuery.get('spanId') || '',
-			isUncollapsed: urlQuery.get('spanId') !== '',
-		}),
-	);
-	const [uncollapsedNodes, setUncollapsedNodes] = useState<string[]>([]);
-	const [localUncollapsedNodes, setLocalUncollapsedNodes] = useState<
-		Set<string>
-	>(new Set());
-	const [selectedSpan, setSelectedSpan] = useState<SpanV3>();
-
-	const selectedSpanId = urlQuery.get('spanId') || undefined;
-	const { safeNavigate } = useSafeNavigate();
-
-	const logTraceEvent = useTraceDetailLogEvent('v3', traceId || '');
-	// Tracks which traceId the load event already fired for, so navigating
-	// between traces (the route component stays mounted) re-fires it once each.
-	const dataLoadedFiredForRef = useRef('');
-	const colorByField = useTraceStore((s) => s.colorByField);
-	const previewFieldsCount = useTraceStore((s) => s.previewFields.length);
-	const userPrefsReady = useTraceStore((s) => s.userPreferences !== null);
-
-	const handleSpanDetailsClose = useCallback((): void => {
-		urlQuery.delete('spanId');
-		safeNavigate({ search: urlQuery.toString() }, { replace: true });
-	}, [urlQuery, safeNavigate]);
-
-	const panelState = useDetailsPanel({
-		entityId: selectedSpanId,
-		onClose: handleSpanDetailsClose,
-	});
-
-	const allSpansRef = useRef<SpanV3[]>([]);
-	const deepLinkResolvedRef = useRef(false);
-
-	// Refetch only when the URL target isn't already loaded. Keeps row clicks
-	// and other in-window URL navigation from triggering a backend window slide.
-	useEffect(() => {
-		const spanId = urlQuery.get('spanId') || '';
-		if (!spanId) {
-			return;
-		}
-		const idx = allSpansRef.current.findIndex((s) => s.span_id === spanId);
-		if (idx !== -1) {
-			setSelectedSpan(allSpansRef.current[idx]);
-			return;
-		}
-		setInterestedSpanId({ spanId, isUncollapsed: true });
-	}, [urlQuery]);
-
-	// Once all spans are loaded (frontend mode), freeze query params so
-	// subsequent interestedSpanId changes don't trigger unnecessary refetches.
-	const fullDataLoadedRef = useRef(false);
-	const frozenParamsRef = useRef({
-		selectedSpanId: interestedSpanId.spanId,
-		isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
-		uncollapsedSpans: uncollapsedNodes,
-	});
-
-	const queryParams = fullDataLoadedRef.current
-		? frozenParamsRef.current
-		: {
-				selectedSpanId: interestedSpanId.spanId,
-				isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
-				uncollapsedSpans: uncollapsedNodes,
-			};
-
-	const {
-		data: traceData,
-		isFetching: isFetchingTraceData,
-		error: errorFetchingTraceData,
-	} = useGetTraceV4({
-		traceId,
-		uncollapsedSpans: queryParams.uncollapsedSpans,
-		selectedSpanId: queryParams.selectedSpanId,
-		isSelectedSpanIDUnCollapsed: queryParams.isSelectedSpanIDUnCollapsed,
-	});
-
-	const allSpans = traceData?.payload?.spans || [];
-	const totalSpansCount = traceData?.payload?.totalSpansCount || 0;
-
-	const isFullDataLoaded =
-		totalSpansCount > 0 && totalSpansCount <= allSpans.length;
-
-	// Color-by options, gated on fields in loaded spans. Resource attrs are
-	// trace-wide, so any window has the full set — no need to accumulate.
-	const availableColorByFields = useMemo(() => {
-		const spans = traceData?.payload?.spans;
-		return spans?.length ? getAvailableColorByFieldNames(spans) : undefined;
-	}, [traceData?.payload?.spans]);
-
-	useEffect(() => {
-		setTraceStoreAvailableColorByFields(availableColorByFields);
-	}, [availableColorByFields]);
-
-	// Lock the ref once we confirm all data is loaded
-	if (isFullDataLoaded && !fullDataLoadedRef.current) {
-		fullDataLoadedRef.current = true;
-		frozenParamsRef.current = {
-			selectedSpanId: interestedSpanId.spanId,
-			isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
-			uncollapsedSpans: uncollapsedNodes,
-		};
-	}
-
-	useEffect(() => {
-		allSpansRef.current = allSpans;
-	}, [allSpans]);
-
-	useEffect(() => {
-		if (
-			!traceId ||
-			dataLoadedFiredForRef.current === traceId ||
-			!userPrefsReady
-		) {
-			return;
-		}
-		const payload = traceData?.payload;
-		if (!payload?.spans?.length) {
-			return;
-		}
-		dataLoadedFiredForRef.current = traceId;
-		const numServices = new Set(payload.spans.map((s) => s['service.name'])).size;
-		logTraceEvent(TraceDetailEvents.DataLoaded, {
-			[TraceDetailEventKeys.TotalSpansCount]: totalSpansCount,
-			[TraceDetailEventKeys.NumServices]: numServices,
-			[TraceDetailEventKeys.TraceDurationMs]:
-				payload.endTimestampMillis - payload.startTimestampMillis,
-			[TraceDetailEventKeys.HadErrors]: (payload.totalErrorSpansCount || 0) > 0,
-			[TraceDetailEventKeys.FlamegraphSampled]:
-				totalSpansCount > FLAMEGRAPH_SPAN_LIMIT,
-			[TraceDetailEventKeys.SpanPanelVariant]:
-				getLocalStorageKey(LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION) ||
-				SpanDetailVariant.DOCKED_RIGHT,
-			[TraceDetailEventKeys.ColorByField]: colorByField.name,
-			[TraceDetailEventKeys.PreviewFieldsCount]: previewFieldsCount,
-		});
-	}, [
-		traceId,
-		userPrefsReady,
-		traceData,
-		totalSpansCount,
-		colorByField,
-		previewFieldsCount,
-		logTraceEvent,
-	]);
-
-	// Frontend mode: expand all parents by default when full data arrives
-	useEffect(() => {
-		if (isFullDataLoaded && allSpans.length > 0) {
-			const parentIds = new Set(
-				allSpans.filter((s) => s.has_children).map((s) => s.span_id),
-			);
-			setLocalUncollapsedNodes(parentIds);
-		}
-	}, [isFullDataLoaded, allSpans]);
-
-	// Backend mode: sync uncollapsed state from API response
-	useEffect(() => {
-		if (
-			!isFullDataLoaded &&
-			traceData &&
-			traceData.payload &&
-			traceData.payload.uncollapsedSpans
-		) {
-			setUncollapsedNodes(traceData.payload.uncollapsedSpans);
-		}
-	}, [traceData, isFullDataLoaded]);
-
-	// Tracks whether we've already done the initial URL→selectedSpan handoff
-	//Lets `interestedSpanId` stay purely as the refetch trigger in frontend mode.
-	useEffect(() => {
-		if (deepLinkResolvedRef.current) {
-			return;
-		}
-		if (allSpans.length === 0) {
-			return;
-		}
-		if (selectedSpanId) {
-			const span = allSpans.find((s) => s.span_id === selectedSpanId);
-			if (!span) {
-				// Span not in the current window — wait for more data (backend
-				// pagination) before marking resolved.
-				return;
-			}
-			setSelectedSpan(span);
-		} else {
-			setSelectedSpan((prev) => prev ?? allSpans[0]);
-		}
-		deepLinkResolvedRef.current = true;
-	}, [selectedSpanId, allSpans]);
-
-	// Frontend mode: auto-expand ancestors of the URL-targeted span so it's
-	// visible. Keyed on URL `spanId`(selectedSpanId).
-	useEffect(() => {
-		if (!isFullDataLoaded || !selectedSpanId || allSpans.length === 0) {
-			return;
-		}
-		const ancestors = getAncestorSpanIds(allSpans, selectedSpanId);
-		if (ancestors.size === 0) {
-			return;
-		}
-		setLocalUncollapsedNodes((prev) => {
-			// Check if all ancestors are already expanded — avoid unnecessary state update
-			let allPresent = true;
-			for (const id of ancestors) {
-				if (!prev.has(id)) {
-					allPresent = false;
-					break;
-				}
-			}
-			if (allPresent) {
-				return prev;
-			}
-
-			const next = new Set(prev);
-			for (const id of ancestors) {
-				next.add(id);
-			}
-			return next;
-		});
-	}, [isFullDataLoaded, selectedSpanId, allSpans]);
-
-	const [activeKeys, setActiveKeys] = useState<string[]>(['flame', 'waterfall']);
-
-	const handleCollapseChange = (key: string): void => {
-		logTraceEvent(
-			key === 'flame'
-				? TraceDetailEvents.FlameGraphToggled
-				: TraceDetailEvents.WaterfallToggled,
-			{ [TraceDetailEventKeys.Expanded]: !activeKeys.includes(key) },
-		);
-		setActiveKeys((prev) =>
-			prev.includes(key) ? prev.filter((k) => k !== key) : [...prev, key],
-		);
-	};
-
-	const [spanDetailVariant, setSpanDetailVariant] = useState<SpanDetailVariant>(
-		() =>
-			(getLocalStorageKey(
-				LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION,
-			) as SpanDetailVariant) || SpanDetailVariant.DOCKED_RIGHT,
-	);
-
-	const RIGHT_DOCK_MIN = 480;
-	const RIGHT_DOCK_MAX = 720;
-	const [rightDockWidth, setRightDockWidth] = useState(RIGHT_DOCK_MIN);
-
-	const handleVariantChange = useCallback(
-		(newVariant: SpanDetailVariant): void => {
-			setLocalStorageKey(
-				LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION,
-				newVariant,
-			);
-			setSpanDetailVariant(newVariant);
-		},
-		[],
-	);
-
-	const showNoData =
-		!isFetchingTraceData &&
-		(!!errorFetchingTraceData || !traceData?.payload?.spans?.length);
-
-	const isDocked = spanDetailVariant === SpanDetailVariant.DOCKED;
-	const isRightDocked = spanDetailVariant === SpanDetailVariant.DOCKED_RIGHT;
-	const isWaterfallDocked = panelState.isOpen && isDocked;
-	const showRightDock = panelState.isOpen && isRightDocked;
-
-	const waterfallChildren = (
-		<ResizableBox
-			defaultHeight={300}
-			minHeight={150}
-			disabled={!isWaterfallDocked}
-		>
-			<TraceWaterfall
-				traceData={traceData}
-				isFetchingTraceData={isFetchingTraceData}
-				errorFetchingTraceData={errorFetchingTraceData}
-				traceId={traceId || ''}
-				interestedSpanId={interestedSpanId}
-				setInterestedSpanId={setInterestedSpanId}
-				uncollapsedNodes={uncollapsedNodes}
-				isFullDataLoaded={isFullDataLoaded}
-				localUncollapsedNodes={localUncollapsedNodes}
-				setLocalUncollapsedNodes={setLocalUncollapsedNodes}
-				selectedSpan={selectedSpan}
-				setSelectedSpan={setSelectedSpan}
-				filteredSpanIds={filteredSpanIds}
-				isFilterActive={isFilterActive}
-			/>
-		</ResizableBox>
-	);
-
-	return (
-		<>
-			{showNoData ? (
-				<NoData />
-			) : (
-				<>
-					<div className={styles.layoutRow}>
-						<div className={styles.content}>
-							<Collapse
-								// @ts-expect-error motion is passed through to rc-collapse to disable animation
-								motion={false}
-								activeKey={activeKeys.filter((k) => k === 'flame')}
-								onChange={(): void => handleCollapseChange('flame')}
-								size="small"
-								expandIcon={renderPanelExpandIcon}
-								className={styles.flameCollapse}
-								items={[
-									{
-										key: 'flame',
-										label: (
-											<div className={styles.collapseLabel}>
-												<span className={styles.collapseTitle}>
-													Flame Graph
-													{traceData?.payload?.totalSpansCount &&
-														traceData.payload.totalSpansCount > FLAMEGRAPH_SPAN_LIMIT && (
-															<WarningPopover
-																message="The total span count exceeds the visualization limit. Displaying a sampled subset of spans in flamegraph."
-																placement="bottomLeft"
-															>
-																<Info
-																	size={16}
-																	color="var(--l2-foreground)"
-																	style={{ cursor: 'pointer' }}
-																/>
-															</WarningPopover>
-														)}
-												</span>
-												{traceData?.payload?.totalSpansCount ? (
-													<span className={styles.collapseCount}>
-														<span className={styles.collapseCountItem}>
-															<ChartNoAxesGantt size={13} />
-															Spans: {traceData.payload.totalSpansCount}
-														</span>
-														<span
-															className={cx(styles.collapseCountItem, {
-																[styles.hasErrors]: traceData.payload.totalErrorSpansCount > 0,
-															})}
-														>
-															<TriangleAlert size={13} />
-															Errors:{' '}
-															{traceData.payload.totalErrorSpansCount ?? (
-																<span className="translate-safe">{0}</span>
-															)}
-														</span>
-													</span>
-												) : null}
-											</div>
-										),
-										children: (
-											<ResizableBox defaultHeight={300} minHeight={100} maxHeight={400}>
-												<TraceFlamegraph
-													filteredSpanIds={filteredSpanIds}
-													isFilterActive={isFilterActive}
-													selectedSpan={selectedSpan}
-													totalSpansCount={totalSpansCount}
-												/>
-											</ResizableBox>
-										),
-									},
-								]}
-							/>
-
-							<Collapse
-								// @ts-expect-error motion is passed through to rc-collapse to disable animation
-								motion={false}
-								activeKey={activeKeys.filter((k) => k === 'waterfall')}
-								onChange={(): void => handleCollapseChange('waterfall')}
-								size="small"
-								expandIcon={renderPanelExpandIcon}
-								className={cx(styles.waterfallCollapse, {
-									[styles.isDocked]: isWaterfallDocked,
-								})}
-								items={[
-									{
-										key: 'waterfall',
-										label: 'Waterfall',
-										children: activeKeys.includes('waterfall') ? waterfallChildren : null,
-									},
-								]}
-							/>
-
-							{panelState.isOpen && isDocked && (
-								<div className={styles.dockedSpanDetails}>
-									<SpanDetailsPanel
-										panelState={panelState}
-										selectedSpan={selectedSpan}
-										variant={SpanDetailVariant.DOCKED}
-										onVariantChange={handleVariantChange}
-										traceStartTime={traceData?.payload?.startTimestampMillis}
-										traceEndTime={traceData?.payload?.endTimestampMillis}
-									/>
-								</div>
-							)}
-						</div>
-
-						{showRightDock && (
-							<ResizableBox
-								handle="left"
-								defaultWidth={rightDockWidth}
-								minWidth={RIGHT_DOCK_MIN}
-								maxWidth={RIGHT_DOCK_MAX}
-								onResize={setRightDockWidth}
-								className={styles.rightDock}
-							>
-								<SpanDetailsPanel
-									panelState={panelState}
-									selectedSpan={selectedSpan}
-									variant={SpanDetailVariant.DOCKED_RIGHT}
-									onVariantChange={handleVariantChange}
-									traceStartTime={traceData?.payload?.startTimestampMillis}
-									traceEndTime={traceData?.payload?.endTimestampMillis}
-								/>
-							</ResizableBox>
-						)}
-					</div>
-
-					{panelState.isOpen && spanDetailVariant === SpanDetailVariant.DIALOG && (
-						<SpanDetailsPanel
-							panelState={panelState}
-							selectedSpan={selectedSpan}
-							variant={SpanDetailVariant.DIALOG}
-							onVariantChange={handleVariantChange}
-							traceStartTime={traceData?.payload?.startTimestampMillis}
-							traceEndTime={traceData?.payload?.endTimestampMillis}
-						/>
-					)}
-				</>
-			)}
-		</>
-	);
-}
-
-export default TraceDetailsOverview;

frontend/src/pages/TraceDetailsV3/TraceDetailsThread/TraceDetailsThread.tsx

@@ -1,5 +0,0 @@
-function TraceDetailsThread(): JSX.Element {
-	return <div data-testid="trace-details-thread" />;
-}
-
-export default TraceDetailsThread;

frontend/src/pages/TraceDetailsV3/TraceDetailsV3.module.scss

@@ -1,3 +1,10 @@
+.root {
+	flex: 1;
+	min-height: 0;
+	display: flex;
+	flex-direction: column;
+}
+
 .layoutRow {
 	display: flex;
 	flex: 1;

frontend/src/pages/TraceDetailsV3/TraceDetailsWrapper/TraceDetailsWrapper.module.scss

@@ -1,6 +0,0 @@
-.root {
-	flex: 1;
-	min-height: 0;
-	display: flex;
-	flex-direction: column;
-}

frontend/src/pages/TraceDetailsV3/TraceDetailsWrapper/TraceDetailsWrapper.tsx

@@ -1,21 +0,0 @@
-import { ReactNode } from 'react';
-
-import TraceStoreSync from '../stores/TraceStoreSync';
-
-import styles from './TraceDetailsWrapper.module.scss';
-
-interface TraceDetailsWrapperProps {
-	children: ReactNode;
-}
-
-function TraceDetailsWrapper({
-	children,
-}: TraceDetailsWrapperProps): JSX.Element {
-	return (
-		<TraceStoreSync>
-			<div className={styles.root}>{children}</div>
-		</TraceStoreSync>
-	);
-}
-
-export default TraceDetailsWrapper;

frontend/src/pages/TraceDetailsV3/TraceFlamegraph/FlamegraphCanvas.module.scss

@@ -33,5 +33,10 @@
 	position: fixed;
 	z-index: 1000;
 	pointer-events: none;
+	background-color: var(--l1-background);
+	padding: 8px 12px;
+	border-radius: 4px;
+	box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
+	border: 1px solid var(--l2-border);
 	color: var(--l1-foreground);
 }

frontend/src/pages/TraceDetailsV3/TraceFlamegraph/FlamegraphCanvas.tsx

@@ -1,6 +1,5 @@
 import React, { useCallback, useEffect, useRef, useState } from 'react';
 import { createPortal } from 'react-dom';
-import cx from 'classnames';
 import TimelineV3 from 'components/TimelineV3/TimelineV3';
 import { useIsDarkMode } from 'hooks/useDarkMode';
 
@@ -18,7 +17,6 @@ import { useFlamegraphZoom } from './hooks/useFlamegraphZoom';
 import { useScrollToSpan } from './hooks/useScrollToSpan';
 import { EventRect, FlamegraphCanvasProps, SpanRect } from './types';
 
-import tooltipStyles from '../TraceTooltip/TraceTooltip.module.scss';
 import styles from './FlamegraphCanvas.module.scss';
 
 function FlamegraphCanvas(props: FlamegraphCanvasProps): JSX.Element {
@@ -205,7 +203,7 @@ function FlamegraphCanvas(props: FlamegraphCanvasProps): JSX.Element {
 	const tooltipElement = tooltipContent
 		? createPortal(
 				<div
-					className={cx(tooltipStyles.surface, styles.tooltip)}
+					className={styles.tooltip}
 					style={{
 						left: Math.min(tooltipContent.clientX + 15, window.innerWidth - 220),
 						top: Math.min(tooltipContent.clientY + 15, window.innerHeight - 100),

frontend/src/pages/TraceDetailsV3/TraceTooltip/TooltipRow.tsx

@@ -1,34 +0,0 @@
-import { Typography } from '@signozhq/ui/typography';
-
-import styles from './TraceTooltip.module.scss';
-
-interface TooltipRowProps {
-	label: string;
-	value: string;
-	isTotal?: boolean;
-	testId?: string;
-}
-
-function TooltipRow({
-	label,
-	value,
-	isTotal,
-	testId,
-}: TooltipRowProps): JSX.Element {
-	return (
-		<div className={styles.row} data-testid={testId}>
-			<Typography.Text
-				size="small"
-				color={isTotal ? undefined : 'muted'}
-				truncate={1}
-			>
-				{label}
-			</Typography.Text>
-			<Typography.Text size="small" truncate={1} className={styles.rowValue}>
-				{value}
-			</Typography.Text>
-		</div>
-	);
-}
-
-export default TooltipRow;

frontend/src/pages/TraceDetailsV3/TraceTooltip/TooltipSection.tsx

@@ -1,13 +0,0 @@
-import { ReactNode } from 'react';
-
-import styles from './TraceTooltip.module.scss';
-
-interface TooltipSectionProps {
-	children: ReactNode;
-}
-
-function TooltipSection({ children }: TooltipSectionProps): JSX.Element {
-	return <div className={styles.section}>{children}</div>;
-}
-
-export default TooltipSection;

frontend/src/pages/TraceDetailsV3/TraceTooltip/TraceTooltip.module.scss

@@ -1,82 +0,0 @@
-// Figma `dark/shadow-dropdown` popover surface, shared by every trace-details
-// tooltip so they look the same.
-$surface-background: color-mix(in srgb, var(--l3-background) 60%, transparent);
-$surface-border-color: var(--l2-border);
-$surface-radius: var(--radius-2);
-$surface-padding: var(--spacing-4);
-$surface-shadow: 4px 10px 16px 2px rgba(0, 0, 0, 0.2);
-
-// For plain elements, e.g. the flamegraph's cursor-following portal.
-.surface {
-	background-color: $surface-background;
-	border: 1px solid $surface-border-color;
-	border-radius: $surface-radius;
-	padding: $surface-padding;
-	box-shadow: $surface-shadow;
-	backdrop-filter: blur(20px);
-}
-
-// For @signozhq/ui Tooltip content: it paints both the bubble and the arrow
-// from these variables.
-.tooltipContent {
-	--tooltip-background: #{$surface-background};
-	--tooltip-border-color: #{$surface-border-color};
-	--tooltip-border-radius: #{$surface-radius};
-	--tooltip-padding: #{$surface-padding};
-	--tooltip-box-shadow: #{$surface-shadow};
-	backdrop-filter: blur(20px);
-}
-
-.body {
-	display: flex;
-	flex-direction: column;
-	letter-spacing: var(--paragraph-small-400-letter-spacing);
-	color: var(--l1-foreground-hover);
-}
-
-.title {
-	--typography-font-family: var(--code-small-500-font-family);
-	--typography-font-size: var(--code-small-500-font-size);
-	--typography-font-weight: var(--code-small-500-font-weight);
-	--typography-line-height: var(--code-small-500-line-height);
-	letter-spacing: var(--code-small-500-letter-spacing);
-	word-break: break-all;
-}
-
-.section {
-	display: flex;
-	flex-direction: column;
-	gap: 4px;
-	padding: 8px 0;
-	border-top: 1px solid;
-	border-image: linear-gradient(
-			90deg,
-			var(--l3-background-transparent),
-			var(--l3-border),
-			var(--l3-background-transparent)
-		)
-		1;
-
-	&:first-child {
-		padding-top: 0;
-		border-top: none;
-	}
-
-	&:last-child {
-		padding-bottom: 0;
-	}
-}
-
-.row {
-	display: flex;
-	justify-content: space-between;
-	gap: 16px;
-	min-width: 0;
-}
-
-.rowValue {
-	flex-shrink: 0;
-	max-width: 60%;
-	text-align: right;
-	font-variant-numeric: tabular-nums;
-}

frontend/src/pages/TraceDetailsV3/TraceWaterfall/TraceWaterfallStates/Success/Success.module.scss

@@ -217,9 +217,8 @@
 .statusCell {
 	display: flex;
 	align-items: center;
-	justify-content: flex-start;
+	justify-content: center;
 	cursor: pointer;
-	padding-left: var(--spacing-2);
 
 	--badge-border-radius: 2px;
 	--badge-padding: 3px 6px;
@@ -409,11 +408,6 @@
 	}
 }
 
-.aiSpanIcon {
-	flex-shrink: 0;
-	margin: 0 4px;
-}
-
 .treeLabel {
 	color: var(--l1-foreground);
 	font-family: 'Inter';

frontend/src/pages/TraceDetailsV3/TraceWaterfall/TraceWaterfallStates/Success/Success.tsx

@@ -25,6 +25,7 @@ import {
 } from '@tanstack/react-table';
 import { useVirtualizer, Virtualizer } from '@tanstack/react-virtual';
 import cx from 'classnames';
+import HttpStatusBadge from 'components/HttpStatusBadge/HttpStatusBadge';
 import TimelineV3 from 'components/TimelineV3/TimelineV3';
 import { convertTimeToRelevantUnit } from 'utils/traceUtils';
 import { useCopySpanLink } from 'hooks/trace/useCopySpanLink';
@@ -32,13 +33,7 @@ import { useIsDarkMode } from 'hooks/useDarkMode';
 import { useSafeNavigate } from 'hooks/useSafeNavigate';
 import useUrlQuery from 'hooks/useUrlQuery';
 import { colorToRgb } from 'lib/uPlotLib/utils/generateColor';
-import {
-	ChevronDown,
-	ChevronRight,
-	Link,
-	ListPlus,
-	Sparkle,
-} from '@signozhq/icons';
+import { ChevronDown, ChevronRight, Link, ListPlus } from '@signozhq/icons';
 import { useTraceStore } from 'pages/TraceDetailsV3/stores/traceStore';
 import { resolveSpanColor } from 'pages/TraceDetailsV3/utils';
 import { useBoundaryPagination } from 'pages/TraceDetailsV3/TraceWaterfall/hooks/useBoundaryPagination';
@@ -49,8 +44,6 @@ import { toFixed } from 'utils/toFixed';
 
 import { EventTooltipContent } from '../../../SpanHoverCard/EventTooltipContent';
 import { SpanHoverCard } from '../../../SpanHoverCard/SpanHoverCard';
-import SpanHintBadge from '../../../SpanHintBadge/SpanHintBadge';
-import { isAiSpan } from '../../../utils/genAi';
 import AddSpanToFunnelModal from '../../AddSpanToFunnelModal/AddSpanToFunnelModal';
 import { IInterestedSpan } from '../../types';
 
@@ -335,23 +328,14 @@ const SpanOverview = memo(function SpanOverview({
 			</span>
 
 			{/* Colored service dot */}
-			{isAiSpan(span) ? (
-				<Sparkle
-					size={10}
-					color={effectiveColor}
-					fill={effectiveColor}
-					className={styles.aiSpanIcon}
-				/>
-			) : (
-				<span
-					className={cx(styles.treeIcon, { [styles.hasError]: span.has_error })}
-					style={
-						{
-							'--service-dot-color': effectiveColor,
-						} as React.CSSProperties
-					}
-				/>
-			)}
+			<span
+				className={cx(styles.treeIcon, { [styles.hasError]: span.has_error })}
+				style={
+					{
+						'--service-dot-color': effectiveColor,
+					} as React.CSSProperties
+				}
+			/>
 
 			{/* Span name + service name */}
 			<span className={styles.treeLabel}>
@@ -987,7 +971,9 @@ function Success(props: ISuccessProps): JSX.Element {
 									onMouseLeave={(): void => applyHoverClass(null)}
 									onClick={(): void => handleSpanClick(span)}
 								>
-									<SpanHintBadge span={span} />
+									{span.response_status_code && (
+										<HttpStatusBadge statusCode={span.response_status_code} />
+									)}
 								</div>
 							);
 						})}

frontend/src/pages/TraceDetailsV3/constants.ts

@@ -53,8 +53,3 @@ export const COLOR_BY_FIELDS: TelemetryFieldKey[] = COLOR_BY_OPTIONS.map(
 );
 
 export const DEFAULT_COLOR_BY_FIELD = COLOR_BY_FIELDS[0];
-
-export enum TraceDetailsTab {
-	Overview = 'overview',
-	Thread = 'thread',
-}

frontend/src/pages/TraceDetailsV3/hooks/useTraceDetailsTab.ts

@@ -1,15 +0,0 @@
-import { parseAsStringEnum, useQueryState, UseQueryStateReturn } from 'nuqs';
-
-import { TraceDetailsTab } from '../constants';
-
-export function useTraceDetailsTab(): UseQueryStateReturn<
-	TraceDetailsTab,
-	TraceDetailsTab
-> {
-	return useQueryState(
-		'tab',
-		parseAsStringEnum(Object.values(TraceDetailsTab)).withDefault(
-			TraceDetailsTab.Overview,
-		),
-	);
-}

frontend/src/pages/TraceDetailsV3/index.tsx

@@ -1,18 +1,89 @@
-import { useCallback, useEffect, useState } from 'react';
+/* eslint-disable sonarjs/cognitive-complexity */
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { useParams } from 'react-router-dom';
+import {
+	ChartNoAxesGantt,
+	ChevronDown,
+	ChevronRight,
+	Info,
+	TriangleAlert,
+} from '@signozhq/icons';
+import getLocalStorageKey from 'api/browser/localstorage/get';
+import setLocalStorageKey from 'api/browser/localstorage/set';
+import { Collapse } from 'antd';
+import { useDetailsPanel } from 'components/DetailsPanel';
+import WarningPopover from 'components/WarningPopover/WarningPopover';
+import { LOCALSTORAGE } from 'constants/localStorage';
+import useGetTraceV4 from 'hooks/trace/useGetTraceV4';
+import { useTraceDetailsStripInfo } from './useTraceDetailsStripInfo';
+import { useSafeNavigate } from 'hooks/useSafeNavigate';
+import useUrlQuery from 'hooks/useUrlQuery';
+import { ResizableBox } from 'periscope/components/ResizableBox';
+import { SpanV3, TraceDetailV3URLProps } from 'types/api/trace/getTraceV3';
 
-import { TraceDetailsTab } from './constants';
-import { useTraceDetailsTab } from './hooks/useTraceDetailsTab';
+import { TraceDetailEventKeys, TraceDetailEvents } from './events';
+import { useTraceDetailLogEvent } from './hooks/useTraceDetailLogEvent';
+import NoData from './NoData/NoData';
+import TraceStoreSync from './stores/TraceStoreSync';
+import { useTraceStore } from './stores/traceStore';
+import { SpanDetailVariant } from './SpanDetailsPanel/constants';
+import SpanDetailsPanel from './SpanDetailsPanel/SpanDetailsPanel';
+import type { TraceMetadataForHeader } from './TraceDetailsHeader/TraceDetailsHeader';
 import TraceDetailsHeader from './TraceDetailsHeader/TraceDetailsHeader';
-import TraceDetailsOverview from './TraceDetailsOverview/TraceDetailsOverview';
-import TraceDetailsThread from './TraceDetailsThread/TraceDetailsThread';
-import TraceDetailsWrapper from './TraceDetailsWrapper/TraceDetailsWrapper';
+import { FLAMEGRAPH_SPAN_LIMIT } from './TraceFlamegraph/constants';
+import TraceFlamegraph from './TraceFlamegraph/TraceFlamegraph';
+import TraceWaterfall from './TraceWaterfall/TraceWaterfall';
+import { IInterestedSpan } from './TraceWaterfall/types';
+import { getAncestorSpanIds } from './TraceWaterfall/utils';
+import { getAvailableColorByFieldNames } from './utils';
+
+import cx from 'classnames';
+
+import styles from './TraceDetailsV3.module.scss';
+
+// Lucide chevrons for the flame/waterfall accordion headers, matching the
+// span-tree chevrons in the waterfall.
+function renderPanelExpandIcon({
+	isActive,
+}: {
+	isActive?: boolean;
+}): JSX.Element {
+	return isActive ? <ChevronDown size={14} /> : <ChevronRight size={14} />;
+}
 
 function TraceDetailsV3(): JSX.Element {
-	const [tab] = useTraceDetailsTab();
-	const isOverview = tab === TraceDetailsTab.Overview;
+	const { id: traceId } = useParams<TraceDetailV3URLProps>();
+	const urlQuery = useUrlQuery();
+	const [interestedSpanId, setInterestedSpanId] = useState<IInterestedSpan>(
+		() => ({
+			spanId: urlQuery.get('spanId') || '',
+			isUncollapsed: urlQuery.get('spanId') !== '',
+		}),
+	);
+	const [uncollapsedNodes, setUncollapsedNodes] = useState<string[]>([]);
+	const [localUncollapsedNodes, setLocalUncollapsedNodes] = useState<
+		Set<string>
+	>(new Set());
+	const [selectedSpan, setSelectedSpan] = useState<SpanV3>();
 	const [filteredSpanIds, setFilteredSpanIds] = useState<string[]>([]);
 	const [isFilterActive, setIsFilterActive] = useState(false);
 
+	const selectedSpanId = urlQuery.get('spanId') || undefined;
+	const { safeNavigate } = useSafeNavigate();
+
+	const logTraceEvent = useTraceDetailLogEvent('v3', traceId || '');
+	// Tracks which traceId the load event already fired for, so navigating
+	// between traces (the route component stays mounted) re-fires it once each.
+	const dataLoadedFiredForRef = useRef('');
+	const colorByField = useTraceStore((s) => s.colorByField);
+	const previewFieldsCount = useTraceStore((s) => s.previewFields.length);
+	const userPrefsReady = useTraceStore((s) => s.userPreferences !== null);
+
+	const handleSpanDetailsClose = useCallback((): void => {
+		urlQuery.delete('spanId');
+		safeNavigate({ search: urlQuery.toString() }, { replace: true });
+	}, [urlQuery, safeNavigate]);
+
 	const handleFilteredSpansChange = useCallback(
 		(spanIds: string[], isActive: boolean): void => {
 			setFilteredSpanIds(spanIds);
@@ -21,26 +92,453 @@ function TraceDetailsV3(): JSX.Element {
 		[],
 	);
 
-	// The filter query lives in Filters' local state, which unmounts with the
-	// Overview tab; drop its result too so both start empty on return.
+	const panelState = useDetailsPanel({
+		entityId: selectedSpanId,
+		onClose: handleSpanDetailsClose,
+	});
+
+	const allSpansRef = useRef<SpanV3[]>([]);
+	const deepLinkResolvedRef = useRef(false);
+
+	// Refetch only when the URL target isn't already loaded. Keeps row clicks
+	// and other in-window URL navigation from triggering a backend window slide.
 	useEffect(() => {
-		if (!isOverview) {
-			handleFilteredSpansChange([], false);
+		const spanId = urlQuery.get('spanId') || '';
+		if (!spanId) {
+			return;
 		}
-	}, [isOverview, handleFilteredSpansChange]);
+		const idx = allSpansRef.current.findIndex((s) => s.span_id === spanId);
+		if (idx !== -1) {
+			setSelectedSpan(allSpansRef.current[idx]);
+			return;
+		}
+		setInterestedSpanId({ spanId, isUncollapsed: true });
+	}, [urlQuery]);
+
+	// Once all spans are loaded (frontend mode), freeze query params so
+	// subsequent interestedSpanId changes don't trigger unnecessary refetches.
+	const fullDataLoadedRef = useRef(false);
+	const frozenParamsRef = useRef({
+		selectedSpanId: interestedSpanId.spanId,
+		isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
+		uncollapsedSpans: uncollapsedNodes,
+	});
+
+	const queryParams = fullDataLoadedRef.current
+		? frozenParamsRef.current
+		: {
+				selectedSpanId: interestedSpanId.spanId,
+				isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
+				uncollapsedSpans: uncollapsedNodes,
+			};
+
+	const {
+		data: traceData,
+		isFetching: isFetchingTraceData,
+		error: errorFetchingTraceData,
+	} = useGetTraceV4({
+		traceId,
+		uncollapsedSpans: queryParams.uncollapsedSpans,
+		selectedSpanId: queryParams.selectedSpanId,
+		isSelectedSpanIDUnCollapsed: queryParams.isSelectedSpanIDUnCollapsed,
+	});
+
+	const allSpans = traceData?.payload?.spans || [];
+	const totalSpansCount = traceData?.payload?.totalSpansCount || 0;
+	const totalErrorSpansCount = traceData?.payload?.totalErrorSpansCount || 0;
+
+	useTraceDetailsStripInfo({ totalSpansCount, totalErrorSpansCount });
+
+	const isFullDataLoaded =
+		totalSpansCount > 0 && totalSpansCount <= allSpans.length;
+
+	// Color-by options, gated on fields in loaded spans. Resource attrs are
+	// trace-wide, so any window has the full set — no need to accumulate.
+	const availableColorByFields = useMemo(() => {
+		const spans = traceData?.payload?.spans;
+		return spans?.length ? getAvailableColorByFieldNames(spans) : undefined;
+	}, [traceData?.payload?.spans]);
+
+	// Lock the ref once we confirm all data is loaded
+	if (isFullDataLoaded && !fullDataLoadedRef.current) {
+		fullDataLoadedRef.current = true;
+		frozenParamsRef.current = {
+			selectedSpanId: interestedSpanId.spanId,
+			isSelectedSpanIDUnCollapsed: interestedSpanId.isUncollapsed,
+			uncollapsedSpans: uncollapsedNodes,
+		};
+	}
+
+	useEffect(() => {
+		allSpansRef.current = allSpans;
+	}, [allSpans]);
+
+	useEffect(() => {
+		if (
+			!traceId ||
+			dataLoadedFiredForRef.current === traceId ||
+			!userPrefsReady
+		) {
+			return;
+		}
+		const payload = traceData?.payload;
+		if (!payload?.spans?.length) {
+			return;
+		}
+		dataLoadedFiredForRef.current = traceId;
+		const numServices = new Set(payload.spans.map((s) => s['service.name'])).size;
+		logTraceEvent(TraceDetailEvents.DataLoaded, {
+			[TraceDetailEventKeys.TotalSpansCount]: totalSpansCount,
+			[TraceDetailEventKeys.NumServices]: numServices,
+			[TraceDetailEventKeys.TraceDurationMs]:
+				payload.endTimestampMillis - payload.startTimestampMillis,
+			[TraceDetailEventKeys.HadErrors]: (payload.totalErrorSpansCount || 0) > 0,
+			[TraceDetailEventKeys.FlamegraphSampled]:
+				totalSpansCount > FLAMEGRAPH_SPAN_LIMIT,
+			[TraceDetailEventKeys.SpanPanelVariant]:
+				getLocalStorageKey(LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION) ||
+				SpanDetailVariant.DOCKED_RIGHT,
+			[TraceDetailEventKeys.ColorByField]: colorByField.name,
+			[TraceDetailEventKeys.PreviewFieldsCount]: previewFieldsCount,
+		});
+	}, [
+		traceId,
+		userPrefsReady,
+		traceData,
+		totalSpansCount,
+		colorByField,
+		previewFieldsCount,
+		logTraceEvent,
+	]);
+
+	// Frontend mode: expand all parents by default when full data arrives
+	useEffect(() => {
+		if (isFullDataLoaded && allSpans.length > 0) {
+			const parentIds = new Set(
+				allSpans.filter((s) => s.has_children).map((s) => s.span_id),
+			);
+			setLocalUncollapsedNodes(parentIds);
+		}
+	}, [isFullDataLoaded, allSpans]);
+
+	// Backend mode: sync uncollapsed state from API response
+	useEffect(() => {
+		if (
+			!isFullDataLoaded &&
+			traceData &&
+			traceData.payload &&
+			traceData.payload.uncollapsedSpans
+		) {
+			setUncollapsedNodes(traceData.payload.uncollapsedSpans);
+		}
+	}, [traceData, isFullDataLoaded]);
+
+	// Tracks whether we've already done the initial URL→selectedSpan handoff
+	//Lets `interestedSpanId` stay purely as the refetch trigger in frontend mode.
+	useEffect(() => {
+		if (deepLinkResolvedRef.current) {
+			return;
+		}
+		if (allSpans.length === 0) {
+			return;
+		}
+		if (selectedSpanId) {
+			const span = allSpans.find((s) => s.span_id === selectedSpanId);
+			if (!span) {
+				// Span not in the current window — wait for more data (backend
+				// pagination) before marking resolved.
+				return;
+			}
+			setSelectedSpan(span);
+		} else {
+			setSelectedSpan((prev) => prev ?? allSpans[0]);
+		}
+		deepLinkResolvedRef.current = true;
+	}, [selectedSpanId, allSpans]);
+
+	// Frontend mode: auto-expand ancestors of the URL-targeted span so it's
+	// visible. Keyed on URL `spanId`(selectedSpanId).
+	useEffect(() => {
+		if (!isFullDataLoaded || !selectedSpanId || allSpans.length === 0) {
+			return;
+		}
+		const ancestors = getAncestorSpanIds(allSpans, selectedSpanId);
+		if (ancestors.size === 0) {
+			return;
+		}
+		setLocalUncollapsedNodes((prev) => {
+			// Check if all ancestors are already expanded — avoid unnecessary state update
+			let allPresent = true;
+			for (const id of ancestors) {
+				if (!prev.has(id)) {
+					allPresent = false;
+					break;
+				}
+			}
+			if (allPresent) {
+				return prev;
+			}
+
+			const next = new Set(prev);
+			for (const id of ancestors) {
+				next.add(id);
+			}
+			return next;
+		});
+	}, [isFullDataLoaded, selectedSpanId, allSpans]);
+
+	const [activeKeys, setActiveKeys] = useState<string[]>(['flame', 'waterfall']);
+
+	const handleCollapseChange = (key: string): void => {
+		logTraceEvent(
+			key === 'flame'
+				? TraceDetailEvents.FlameGraphToggled
+				: TraceDetailEvents.WaterfallToggled,
+			{ [TraceDetailEventKeys.Expanded]: !activeKeys.includes(key) },
+		);
+		setActiveKeys((prev) =>
+			prev.includes(key) ? prev.filter((k) => k !== key) : [...prev, key],
+		);
+	};
+
+	const [spanDetailVariant, setSpanDetailVariant] = useState<SpanDetailVariant>(
+		() =>
+			(getLocalStorageKey(
+				LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION,
+			) as SpanDetailVariant) || SpanDetailVariant.DOCKED_RIGHT,
+	);
+
+	const RIGHT_DOCK_MIN = 480;
+	const RIGHT_DOCK_MAX = 720;
+	const [rightDockWidth, setRightDockWidth] = useState(RIGHT_DOCK_MIN);
+
+	const handleVariantChange = useCallback(
+		(newVariant: SpanDetailVariant): void => {
+			setLocalStorageKey(
+				LOCALSTORAGE.TRACE_DETAILS_SPAN_DETAILS_POSITION,
+				newVariant,
+			);
+			setSpanDetailVariant(newVariant);
+		},
+		[],
+	);
+
+	const filterMetadata = useMemo(
+		() => ({
+			startTime: (traceData?.payload?.startTimestampMillis || 0) / 1e3,
+			endTime: (traceData?.payload?.endTimestampMillis || 0) / 1e3,
+			traceId: traceId || '',
+		}),
+		[
+			traceData?.payload?.startTimestampMillis,
+			traceData?.payload?.endTimestampMillis,
+			traceId,
+		],
+	);
+
+	const traceMetadataForHeader = useMemo(():
+		| TraceMetadataForHeader
+		| undefined => {
+		const payload = traceData?.payload;
+		if (!payload) {
+			return undefined;
+		}
+		const rootSpan = payload.spans?.find((s) => s.level === 0);
+		return {
+			startTimestampMillis: payload.startTimestampMillis,
+			endTimestampMillis: payload.endTimestampMillis,
+			rootServiceName: payload.rootServiceName,
+			rootServiceEntryPoint: payload.rootServiceEntryPoint,
+			rootSpanStatusCode: rootSpan?.response_status_code || '',
+			hasMissingSpans: payload.hasMissingSpans || false,
+			totalSpansCount: payload.totalSpansCount || 0,
+		};
+	}, [traceData?.payload]);
+
+	const showNoData =
+		!isFetchingTraceData &&
+		(!!errorFetchingTraceData || !traceData?.payload?.spans?.length);
+
+	const isDocked = spanDetailVariant === SpanDetailVariant.DOCKED;
+	const isRightDocked = spanDetailVariant === SpanDetailVariant.DOCKED_RIGHT;
+	const isWaterfallDocked = panelState.isOpen && isDocked;
+	const showRightDock = panelState.isOpen && isRightDocked;
+
+	const waterfallChildren = (
+		<ResizableBox
+			defaultHeight={300}
+			minHeight={150}
+			disabled={!isWaterfallDocked}
+		>
+			<TraceWaterfall
+				traceData={traceData}
+				isFetchingTraceData={isFetchingTraceData}
+				errorFetchingTraceData={errorFetchingTraceData}
+				traceId={traceId || ''}
+				interestedSpanId={interestedSpanId}
+				setInterestedSpanId={setInterestedSpanId}
+				uncollapsedNodes={uncollapsedNodes}
+				isFullDataLoaded={isFullDataLoaded}
+				localUncollapsedNodes={localUncollapsedNodes}
+				setLocalUncollapsedNodes={setLocalUncollapsedNodes}
+				selectedSpan={selectedSpan}
+				setSelectedSpan={setSelectedSpan}
+				filteredSpanIds={filteredSpanIds}
+				isFilterActive={isFilterActive}
+			/>
+		</ResizableBox>
+	);
 
 	return (
-		<TraceDetailsWrapper>
-			<TraceDetailsHeader onFilteredSpansChange={handleFilteredSpansChange} />
-			{isOverview ? (
-				<TraceDetailsOverview
-					filteredSpanIds={filteredSpanIds}
-					isFilterActive={isFilterActive}
+		<TraceStoreSync availableColorByFields={availableColorByFields}>
+			<div className={styles.root}>
+				<TraceDetailsHeader
+					filterMetadata={filterMetadata}
+					onFilteredSpansChange={handleFilteredSpansChange}
+					isDataLoaded={!!traceData?.payload?.spans?.length && !showNoData}
+					traceMetadata={traceMetadataForHeader}
 				/>
-			) : (
-				<TraceDetailsThread />
-			)}
-		</TraceDetailsWrapper>
+
+				{showNoData ? (
+					<NoData />
+				) : (
+					<>
+						<div className={styles.layoutRow}>
+							<div className={styles.content}>
+								<Collapse
+									// @ts-expect-error motion is passed through to rc-collapse to disable animation
+									motion={false}
+									activeKey={activeKeys.filter((k) => k === 'flame')}
+									onChange={(): void => handleCollapseChange('flame')}
+									size="small"
+									expandIcon={renderPanelExpandIcon}
+									className={styles.flameCollapse}
+									items={[
+										{
+											key: 'flame',
+											label: (
+												<div className={styles.collapseLabel}>
+													<span className={styles.collapseTitle}>
+														Flame Graph
+														{traceData?.payload?.totalSpansCount &&
+															traceData.payload.totalSpansCount > FLAMEGRAPH_SPAN_LIMIT && (
+																<WarningPopover
+																	message="The total span count exceeds the visualization limit. Displaying a sampled subset of spans in flamegraph."
+																	placement="bottomLeft"
+																>
+																	<Info
+																		size={16}
+																		color="var(--l2-foreground)"
+																		style={{ cursor: 'pointer' }}
+																	/>
+																</WarningPopover>
+															)}
+													</span>
+													{traceData?.payload?.totalSpansCount ? (
+														<span className={styles.collapseCount}>
+															<span className={styles.collapseCountItem}>
+																<ChartNoAxesGantt size={13} />
+																Spans: {traceData.payload.totalSpansCount}
+															</span>
+															<span
+																className={cx(styles.collapseCountItem, {
+																	[styles.hasErrors]: traceData.payload.totalErrorSpansCount > 0,
+																})}
+															>
+																<TriangleAlert size={13} />
+																Errors:{' '}
+																{traceData.payload.totalErrorSpansCount ?? (
+																	<span className="translate-safe">{0}</span>
+																)}
+															</span>
+														</span>
+													) : null}
+												</div>
+											),
+											children: (
+												<ResizableBox defaultHeight={300} minHeight={100} maxHeight={400}>
+													<TraceFlamegraph
+														filteredSpanIds={filteredSpanIds}
+														isFilterActive={isFilterActive}
+														selectedSpan={selectedSpan}
+														totalSpansCount={totalSpansCount}
+													/>
+												</ResizableBox>
+											),
+										},
+									]}
+								/>
+
+								<Collapse
+									// @ts-expect-error motion is passed through to rc-collapse to disable animation
+									motion={false}
+									activeKey={activeKeys.filter((k) => k === 'waterfall')}
+									onChange={(): void => handleCollapseChange('waterfall')}
+									size="small"
+									expandIcon={renderPanelExpandIcon}
+									className={cx(styles.waterfallCollapse, {
+										[styles.isDocked]: isWaterfallDocked,
+									})}
+									items={[
+										{
+											key: 'waterfall',
+											label: 'Waterfall',
+											children: activeKeys.includes('waterfall')
+												? waterfallChildren
+												: null,
+										},
+									]}
+								/>
+
+								{panelState.isOpen && isDocked && (
+									<div className={styles.dockedSpanDetails}>
+										<SpanDetailsPanel
+											panelState={panelState}
+											selectedSpan={selectedSpan}
+											variant={SpanDetailVariant.DOCKED}
+											onVariantChange={handleVariantChange}
+											traceStartTime={traceData?.payload?.startTimestampMillis}
+											traceEndTime={traceData?.payload?.endTimestampMillis}
+										/>
+									</div>
+								)}
+							</div>
+
+							{showRightDock && (
+								<ResizableBox
+									handle="left"
+									defaultWidth={rightDockWidth}
+									minWidth={RIGHT_DOCK_MIN}
+									maxWidth={RIGHT_DOCK_MAX}
+									onResize={setRightDockWidth}
+									className={styles.rightDock}
+								>
+									<SpanDetailsPanel
+										panelState={panelState}
+										selectedSpan={selectedSpan}
+										variant={SpanDetailVariant.DOCKED_RIGHT}
+										onVariantChange={handleVariantChange}
+										traceStartTime={traceData?.payload?.startTimestampMillis}
+										traceEndTime={traceData?.payload?.endTimestampMillis}
+									/>
+								</ResizableBox>
+							)}
+						</div>
+
+						{panelState.isOpen && spanDetailVariant === SpanDetailVariant.DIALOG && (
+							<SpanDetailsPanel
+								panelState={panelState}
+								selectedSpan={selectedSpan}
+								variant={SpanDetailVariant.DIALOG}
+								onVariantChange={handleVariantChange}
+								traceStartTime={traceData?.payload?.startTimestampMillis}
+								traceEndTime={traceData?.payload?.endTimestampMillis}
+							/>
+						)}
+					</>
+				)}
+			</div>
+		</TraceStoreSync>
 	);
 }
 

frontend/src/pages/TraceDetailsV3/stores/TraceStoreSync.tsx

@@ -4,28 +4,36 @@ import updateUserPreferenceAPI from 'api/v1/user/preferences/name/update';
 import { useAppContext } from 'providers/App/App';
 
 import {
+	setTraceStoreAvailableColorByFields,
 	setTraceStoreCallbacks,
 	setTraceStoreUserPreferences,
 } from './traceStore';
 
 interface TraceStoreSyncProps {
+	availableColorByFields: string[] | undefined;
 	children: ReactNode;
 }
 
 /**
- * Bridges React-managed inputs (`userPreferences` from AppContext and the
- * user-pref mutation hook) into the Zustand store. `availableColorByFields`
- * is pushed by TraceDetailsOverview, which owns the span data.
+ * Bridges React-managed inputs (`availableColorByFields`, `userPreferences`
+ * from AppContext, and the user-pref mutation hook) into the Zustand store.
  *
  * Renders nothing until `userPreferences` resolves so the flamegraph never
  * paints with the default colour first and then swaps to the user's
  * persisted choice. AppProvider fires the prefs query as soon as the user
  * is logged in, so this gate is usually already settled by mount time.
  */
-function TraceStoreSync({ children }: TraceStoreSyncProps): JSX.Element | null {
+function TraceStoreSync({
+	availableColorByFields,
+	children,
+}: TraceStoreSyncProps): JSX.Element | null {
 	const { userPreferences, updateUserPreferenceInContext } = useAppContext();
 	const { mutate: mutateUserPreference } = useMutation(updateUserPreferenceAPI);
 
+	useEffect(() => {
+		setTraceStoreAvailableColorByFields(availableColorByFields);
+	}, [availableColorByFields]);
+
 	useEffect(() => {
 		setTraceStoreUserPreferences(userPreferences ?? null);
 	}, [userPreferences]);

frontend/src/pages/TraceDetailsV3/stores/traceStore.ts

@@ -37,7 +37,7 @@ interface TraceStoreState {
 	availableColorByOptions: ColorByOption[];
 	previewFields: TelemetryFieldKey[];
 
-	// --- Setters used only by TraceStoreSync and TraceDetailsOverview ---
+	// --- Setters used only by TraceStoreSync ---
 	setAvailableColorByFields: (fieldNames: string[] | undefined) => void;
 	setUserPreferences: (userPreferences: UserPreference[] | null) => void;
 	setCallbacks: (callbacks: {

frontend/src/pages/TraceDetailsV3/utils/__tests__/genAi.test.ts

@@ -1,32 +0,0 @@
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-import { AiSpanKind, getAiSpanKind, isAiSpan } from '../genAi';
-
-const spanWith = (attributes: Record<string, string | number>): SpanV3 =>
-	({ attributes, resource: {} }) as unknown as SpanV3;
-
-describe('getAiSpanKind', () => {
-	it.each<[Record<string, string | number>, AiSpanKind]>([
-		[{ 'gen_ai.request.model': 'gpt-4o' }, AiSpanKind.Llm],
-		[{ 'gen_ai.usage.input_tokens': 0 }, AiSpanKind.Llm],
-		[{ 'gen_ai.usage.reasoning.output_tokens': 12 }, AiSpanKind.Llm],
-		[{ 'gen_ai.tool.name': 'search' }, AiSpanKind.Tool],
-		[{ 'gen_ai.agent.name': 'planner' }, AiSpanKind.Agent],
-		[
-			{ 'gen_ai.tool.name': 'search', 'gen_ai.request.model': 'gpt-4o' },
-			AiSpanKind.Tool,
-		],
-		[
-			{ 'gen_ai.agent.name': 'planner', 'gen_ai.usage.input_tokens': 10 },
-			AiSpanKind.Agent,
-		],
-	])('classifies %p as %s', (attributes, kind) => {
-		expect(getAiSpanKind(spanWith(attributes))).toBe(kind);
-	});
-
-	it('returns undefined for non-AI spans and empty values', () => {
-		expect(getAiSpanKind(spanWith({ 'http.method': 'GET' }))).toBeUndefined();
-		expect(getAiSpanKind(spanWith({ 'gen_ai.tool.name': '' }))).toBeUndefined();
-		expect(isAiSpan(spanWith({}))).toBe(false);
-	});
-});

frontend/src/pages/TraceDetailsV3/utils/genAi.ts

@@ -1,54 +0,0 @@
-import { SpanV3 } from 'types/api/trace/getTraceV3';
-
-export const GEN_AI_KEYS = {
-	providerName: 'gen_ai.provider.name',
-	system: 'gen_ai.system',
-	requestModel: 'gen_ai.request.model',
-	responseModel: 'gen_ai.response.model',
-	toolName: 'gen_ai.tool.name',
-	agentName: 'gen_ai.agent.name',
-	inputTokens: 'gen_ai.usage.input_tokens',
-	outputTokens: 'gen_ai.usage.output_tokens',
-	cacheReadTokens: 'gen_ai.usage.cache_read.input_tokens',
-	cacheCreationTokens: 'gen_ai.usage.cache_creation.input_tokens',
-	reasoningTokens: 'gen_ai.usage.reasoning.output_tokens',
-	cost: 'signoz.gen_ai.usage.tokens.cost',
-} as const;
-
-export enum AiSpanKind {
-	Llm = 'llm',
-	Tool = 'tool',
-	Agent = 'agent',
-}
-
-const LLM_KEYS = [
-	GEN_AI_KEYS.requestModel,
-	GEN_AI_KEYS.inputTokens,
-	GEN_AI_KEYS.outputTokens,
-	GEN_AI_KEYS.cacheReadTokens,
-	GEN_AI_KEYS.cacheCreationTokens,
-	GEN_AI_KEYS.reasoningTokens,
-];
-
-function hasAttribute(span: SpanV3, key: string): boolean {
-	const value = span.attributes?.[key] ?? span.resource?.[key];
-	return value !== undefined && value !== null && value !== '';
-}
-
-/** Tool and agent spans may also carry model or usage keys, so they win over LLM. */
-export function getAiSpanKind(span: SpanV3): AiSpanKind | undefined {
-	if (hasAttribute(span, GEN_AI_KEYS.toolName)) {
-		return AiSpanKind.Tool;
-	}
-	if (hasAttribute(span, GEN_AI_KEYS.agentName)) {
-		return AiSpanKind.Agent;
-	}
-	if (LLM_KEYS.some((key) => hasAttribute(span, key))) {
-		return AiSpanKind.Llm;
-	}
-	return undefined;
-}
-
-export function isAiSpan(span: SpanV3): boolean {
-	return getAiSpanKind(span) !== undefined;
-}

pkg/apiserver/signozapiserver/tracedetail.go

@@ -67,5 +67,23 @@ func (provider *provider) addTraceDetailRoutes(router *mux.Router) error {
 		return err
 	}
 
+	if err := router.Handle("/api/v1/traces/{traceID}/thread", handler.New(
+		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetThread),
+		handler.OpenAPIDef{
+			ID:                  "GetTraceThread",
+			Tags:                []string{"tracedetail"},
+			Summary:             "Get thread view for a trace",
+			Description:         "Returns the spans carrying gen_ai input or output messages in timestamp order, each with the messages normalised into formatted_input and formatted_output. Pass nextCursor as after or prevCursor as before to page, or spanId to open the page around a span.",
+			RequestQuery:        new(spantypes.QueryableThread),
+			Response:            new(spantypes.GettableTraceThread),
+			ResponseContentType: "application/json",
+			SuccessStatusCode:   http.StatusOK,
+			ErrorStatusCodes:    []int{http.StatusBadRequest, http.StatusNotFound},
+			SecuritySchemes:     newSecuritySchemes(types.RoleViewer),
+		},
+	)).Methods(http.MethodGet).GetError(); err != nil {
+		return err
+	}
+
 	return nil
 }

pkg/modules/tracedetail/impltracedetail/handler.go

@@ -75,3 +75,25 @@ func (h *handler) GetFlamegraph(rw http.ResponseWriter, r *http.Request) {
 
 	render.Success(rw, http.StatusOK, result)
 }
+
+func (h *handler) GetThread(rw http.ResponseWriter, r *http.Request) {
+	req := new(spantypes.QueryableThread)
+	if err := binding.Query.BindQuery(r.URL.Query(), req); err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	query, err := spantypes.NewThreadQuery(req)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	result, err := h.module.GetThread(r.Context(), mux.Vars(r)["traceID"], query)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	render.Success(rw, http.StatusOK, result)
+}

pkg/modules/tracedetail/impltracedetail/module.go

@@ -173,6 +173,49 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
 	), nil
 }
 
+func (m *module) GetThread(ctx context.Context, traceID string, query *spantypes.ThreadQuery) (*spantypes.GettableTraceThread, error) {
+	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	if err != nil {
+		return nil, err
+	}
+
+	// One extra row per side signals a next/prev page; NewGettableTraceThread trims the response back to query.Limit.
+	page := spantypes.ThreadPage{Limit: query.Limit + 1}
+	switch {
+	case query.SpanID != "":
+		// Window centred on the span: fetch both directions, NewGettableTraceThread splits the limit.
+		anchor, err := m.store.GetThreadCursor(ctx, traceID, summary, query.SpanID)
+		if err != nil {
+			return nil, err
+		}
+		before, err := m.store.GetThreadSpans(ctx, traceID, summary, spantypes.ThreadPage{Cursor: anchor, From: spantypes.ThreadBefore, Limit: page.Limit})
+		if err != nil {
+			return nil, err
+		}
+		// ThreadAt keeps the anchor when it carries messages; otherwise the filter drops it.
+		after, err := m.store.GetThreadSpans(ctx, traceID, summary, spantypes.ThreadPage{Cursor: anchor, From: spantypes.ThreadAt, Limit: page.Limit})
+		if err != nil {
+			return nil, err
+		}
+		return spantypes.NewGettableTraceThread(traceID, query, before, after), nil
+	case query.Before != nil:
+		page.Cursor, page.From = query.Before, spantypes.ThreadBefore
+		before, err := m.store.GetThreadSpans(ctx, traceID, summary, page)
+		if err != nil {
+			return nil, err
+		}
+		return spantypes.NewGettableTraceThread(traceID, query, before, nil), nil
+	default:
+		// nil for the first page.
+		page.Cursor = query.After
+		after, err := m.store.GetThreadSpans(ctx, traceID, summary, page)
+		if err != nil {
+			return nil, err
+		}
+		return spantypes.NewGettableTraceThread(traceID, query, nil, after), nil
+	}
+}
+
 func (m *module) getFullFlamegraph(ctx context.Context, traceID string, summary *spantypes.TraceSummary, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
 	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, nil)
 	if err != nil {

pkg/modules/tracedetail/impltracedetail/store.go

@@ -11,12 +11,23 @@ import (
 	"github.com/SigNoz/signoz/pkg/clickhousesql"
 	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/telemetrystore"
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
 const colServiceName = `resource_string_service$$$$name` // $ gets escaped so $$$$ converts to $$.
 
+var fullSpanColumns = []string{
+	"duration_nano", "span_id", "has_error", "kind",
+	colServiceName, "name",
+	"attributes_string", "attributes_number", "attributes_bool", "resources_string",
+	"events", "status_message", "status_code_string", "kind_string", "parent_span_id",
+	"flags", "is_remote", "trace_state", "status_code",
+	"db_name", "db_operation", "http_method", "http_url", "http_host",
+	"external_http_method", "external_http_url", "response_status_code", "links as references",
+}
+
 func buildFieldExpr(fieldKey telemetrytypes.TelemetryFieldKey) (string, error) {
 	switch fieldKey.FieldContext {
 	case telemetrytypes.FieldContextResource:
@@ -123,16 +134,8 @@ func (s *traceStore) GetTraceSpansByIDs(ctx context.Context, traceID string, sta
 		return []spantypes.StorableSpan{}, nil
 	}
 	sb := sqlbuilder.NewSelectBuilder()
-	sb.Select(
-		"DISTINCT ON (span_id) timestamp",
-		"duration_nano", "span_id", "has_error", "kind",
-		colServiceName, "name",
-		"attributes_string", "attributes_number", "attributes_bool", "resources_string",
-		"events", "status_message", "status_code_string", "kind_string", "parent_span_id",
-		"flags", "is_remote", "trace_state", "status_code",
-		"db_name", "db_operation", "http_method", "http_url", "http_host",
-		"external_http_method", "external_http_url", "response_status_code", "links as references",
-	)
+	sb.Select("DISTINCT ON (span_id) timestamp")
+	sb.SelectMore(fullSpanColumns...)
 	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
 	ids := make([]any, len(spanIDs))
 	for i, id := range spanIDs {
@@ -155,6 +158,81 @@ func (s *traceStore) GetTraceSpansByIDs(ctx context.Context, traceID string, sta
 	return spans, nil
 }
 
+func (s *traceStore) GetThreadSpans(ctx context.Context, traceID string, summary *spantypes.TraceSummary, page spantypes.ThreadPage) ([]spantypes.StorableSpan, error) {
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select("DISTINCT ON (span_id) timestamp")
+	sb.SelectMore(fullSpanColumns...)
+	sb.SelectMore("attributes")
+	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
+	sb.Where(
+		sb.E("trace_id", traceID),
+		sb.GE("ts_bucket_start", summary.Start.Unix()-1800),
+		sb.LE("ts_bucket_start", summary.End.Unix()),
+		// Reads only the JSON column; spans with messages only in the legacy maps are skipped.
+		// todo(nitya): pick the column from the attribute evolution metadata.
+		sb.Or(
+			sqlbuilder.Escape(fmt.Sprintf("attributes.%s IS NOT NULL", clickhousesql.Identifier(aiobservabilitytypes.GenAIInputMessages))),
+			sqlbuilder.Escape(fmt.Sprintf("attributes.%s IS NOT NULL", clickhousesql.Identifier(aiobservabilitytypes.GenAIOutputMessages))),
+		),
+	)
+	if cursor := page.Cursor; cursor != nil {
+		// ClickHouse can't use an index for a tuple comparison, so the separate timestamp and
+		// ts_bucket_start bounds are what skip the data on the far side of the cursor.
+		key := "(toUnixTimestamp64Nano(timestamp), span_id)"
+		bucket := int64(cursor.TimeUnixNano / uint64(time.Second))
+		timestamp := fmt.Sprintf("fromUnixTimestamp64Nano(toInt64(%s))", sb.Var(cursor.TimeUnixNano))
+		tuple := sqlbuilder.Tuple(cursor.TimeUnixNano, cursor.SpanID)
+		switch page.From {
+		case spantypes.ThreadBefore:
+			sb.Where(sb.LE("ts_bucket_start", bucket), "timestamp <= "+timestamp, sb.LT(key, tuple))
+		case spantypes.ThreadAt:
+			sb.Where(sb.GE("ts_bucket_start", bucket-1800), "timestamp >= "+timestamp, sb.GE(key, tuple))
+		default:
+			sb.Where(sb.GE("ts_bucket_start", bucket-1800), "timestamp >= "+timestamp, sb.GT(key, tuple))
+		}
+	}
+	// span_id breaks timestamp ties so the order matches the cursor key; otherwise tied spans
+	// can be skipped or repeated across pages.
+	if page.From == spantypes.ThreadBefore {
+		sb.OrderByDesc("timestamp")
+		sb.OrderByDesc("span_id")
+	} else {
+		sb.OrderByAsc("timestamp")
+		sb.OrderByAsc("span_id")
+	}
+	sb.Limit(page.Limit)
+	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+
+	var spans []spantypes.StorableSpan
+	if err := s.telemetryStore.ClickhouseDB().Select(ctx, &spans, query, args...); err != nil {
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying thread spans")
+	}
+	return spans, nil
+}
+
+func (s *traceStore) GetThreadCursor(ctx context.Context, traceID string, summary *spantypes.TraceSummary, spanID string) (*spantypes.ThreadCursor, error) {
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select("toUnixTimestamp64Nano(timestamp)")
+	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
+	sb.Where(
+		sb.E("trace_id", traceID),
+		sb.GE("ts_bucket_start", summary.Start.Unix()-1800),
+		sb.LE("ts_bucket_start", summary.End.Unix()),
+		sb.E("span_id", spanID),
+	)
+	sb.Limit(1)
+	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+
+	var timeUnixNano int64
+	if err := s.telemetryStore.ClickhouseDB().QueryRow(ctx, query, args...).Scan(&timeUnixNano); err != nil {
+		if errors.Is(err, sql.ErrNoRows) {
+			return nil, errors.NewNotFoundf(spantypes.ErrCodeThreadSpanNotFound, "span %s not found in trace %s", spanID, traceID)
+		}
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying thread span")
+	}
+	return &spantypes.ThreadCursor{TimeUnixNano: uint64(timeUnixNano), SpanID: spanID}, nil
+}
+
 func (s *traceStore) GetFlamegraphSpans(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]spantypes.StorableSpan, error) {
 	sb := sqlbuilder.NewSelectBuilder()
 	sb.Select(

pkg/modules/tracedetail/tracedetail.go

@@ -13,6 +13,7 @@ type Handler interface {
 	GetWaterfallV4(http.ResponseWriter, *http.Request)
 	GetTraceAggregations(http.ResponseWriter, *http.Request)
 	GetFlamegraph(http.ResponseWriter, *http.Request)
+	GetThread(http.ResponseWriter, *http.Request)
 }
 
 // Module defines the business logic for trace detail operations.
@@ -20,4 +21,5 @@ type Module interface {
 	GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error)
 	GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error)
 	GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error)
+	GetThread(ctx context.Context, traceID string, query *spantypes.ThreadQuery) (*spantypes.GettableTraceThread, error)
 }

pkg/querier/consume.go

@@ -566,24 +566,6 @@ func readAsRaw(rows driver.Rows, queryName string) (*qbtypes.RawData, error) {
 	}, nil
 }
 
-// flattenJSONPaths flattens a decoded JSON document into dotted keys, overwriting existing keys in out.
-func flattenJSONPaths(prefix string, m map[string]any, out map[string]any) {
-	for k, v := range m {
-		key := k
-		if prefix != "" {
-			key = prefix + "." + k
-		}
-		switch child := v.(type) {
-		case map[string]any:
-			flattenJSONPaths(key, child, out)
-		case telemetrystoretypes.JSONValue:
-			flattenJSONPaths(key, child, out)
-		default:
-			out[key] = v
-		}
-	}
-}
-
 // mergeSpanAttributeColumns merges (attributes_string, attributes_number, attributes_bool, resources_string) into
 // unified "attributes" and "resource" keys, and parses the stringified `events`
 // and `links` columns into structured slices. Raw DB columns are removed.
@@ -598,7 +580,7 @@ func mergeSpanAttributeColumns(data map[string]any) {
 	resStr, hasRes := data["resources_string"]
 	if hasStr || hasNum || hasBool || attrJSON != nil || hasRes {
 		attributes := make(map[string]any)
-		flattenJSONPaths("", attrJSON, attributes)
+		attrJSON.FlattenInto("", attributes)
 		if m, ok := attrStr.(map[string]string); ok {
 			for k, v := range m {
 				attributes[k] = v

pkg/types/aiobservabilitytypes/genaimessages/captured_test.go

@@ -0,0 +1,41 @@
+package genaimessages
+
+import (
+	"encoding/json"
+	"os"
+	"path/filepath"
+	"strings"
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+	"github.com/stretchr/testify/assert"
+	"github.com/stretchr/testify/require"
+)
+
+// testdata/captured/<sdk>/<attribute>.txt holds a real attribute value from the scripts
+// repo's static-telemetry-generator captures; <attribute>.want.json is its reviewed output.
+func TestNormalizeCapturedPayloads(t *testing.T) {
+	inputs, err := filepath.Glob(filepath.Join("testdata", "captured", "*", "*.txt"))
+	require.NoError(t, err)
+	require.NotEmpty(t, inputs)
+
+	for _, input := range inputs {
+		sdk := filepath.Base(filepath.Dir(input))
+		attribute := strings.TrimSuffix(filepath.Base(input), ".txt")
+		t.Run(sdk+"/"+attribute, func(t *testing.T) {
+			raw, err := os.ReadFile(input)
+			require.NoError(t, err)
+			wantJSON, err := os.ReadFile(strings.TrimSuffix(input, ".txt") + ".want.json")
+			require.NoError(t, err)
+
+			var want []aiobservabilitytypes.Message
+			require.NoError(t, json.Unmarshal(wantJSON, &want))
+			got, err := json.Marshal(Normalize(string(raw)))
+			require.NoError(t, err)
+			var gotRoundTrip []aiobservabilitytypes.Message
+			require.NoError(t, json.Unmarshal(got, &gotRoundTrip))
+
+			assert.Equal(t, want, gotRoundTrip)
+		})
+	}
+}

pkg/types/aiobservabilitytypes/genaimessages/envelope.go

@@ -0,0 +1,307 @@
+package genaimessages
+
+import (
+	"encoding/json"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+// convertSemconvMessages handles [{role, parts, finish_reason}] and Gemini contents.
+func convertSemconvMessages(value any) ([]aiobservabilitytypes.Message, bool) {
+	list, ok := value.([]any)
+	if !ok || len(list) == 0 {
+		return nil, false
+	}
+	first, ok := toObject(firstItem(list))
+	if !ok {
+		return nil, false
+	}
+	if ok := first.has("parts"); !ok {
+		return nil, false
+	}
+
+	messages := make([]aiobservabilitytypes.Message, 0, len(list))
+	for _, item := range list {
+		m, ok := toObject(item)
+		if !ok {
+			messages = append(messages, genericMessages(stringOf(item))...)
+			continue
+		}
+		messages = append(messages, semconvMessage(m, "")...)
+	}
+	return messages, true
+}
+
+// convertChatMessageList handles OpenAI, Anthropic, Vercel and LangChain message lists.
+func convertChatMessageList(value any) ([]aiobservabilitytypes.Message, bool) {
+	list, ok := value.([]any)
+	if !ok || len(list) == 0 {
+		return nil, false
+	}
+	if !isChatMessage(firstItem(list)) {
+		return nil, false
+	}
+	messages := make([]aiobservabilitytypes.Message, 0, len(list))
+	for _, item := range list {
+		messages = append(messages, chatMessage(item, "")...)
+	}
+	return messages, true
+}
+
+func isChatMessage(value any) bool {
+	m, ok := toObject(value)
+	if !ok {
+		return false
+	}
+	if ok := m.has("role"); ok {
+		return true
+	}
+	switch typ := m.str("type"); typ {
+	case "message", "reasoning", "human", "ai", "tool", "system":
+		return true
+	case "constructor":
+		ok := m.has("kwargs")
+		return ok
+	default:
+		return isResponsesItemType(typ)
+	}
+}
+
+// convertToolCallList handles a bare tool call list, e.g. Vercel ai.response.toolCalls.
+func convertToolCallList(value any) ([]aiobservabilitytypes.Message, bool) {
+	list, ok := value.([]any)
+	if !ok || len(list) == 0 {
+		return nil, false
+	}
+	msg := aiobservabilitytypes.Message{Role: aiobservabilitytypes.MessageRoleAssistant, Content: make([]aiobservabilitytypes.Part, 0, len(list))}
+	for _, item := range list {
+		call, ok := toObject(item)
+		if !ok || !isToolCall(call) {
+			return nil, false
+		}
+		msg.Content = append(msg.Content, toolCallPart(call))
+	}
+	return []aiobservabilitytypes.Message{msg}, true
+}
+
+// isToolCall rejects tool definitions, which carry no arguments.
+func isToolCall(call object) bool {
+	if has := call.has("toolName"); has {
+		return true
+	}
+	if fn, ok := call.obj("function"); ok {
+		has := fn.has("arguments")
+		return has
+	}
+	if has := call.has("name"); !has {
+		return false
+	}
+	_, has := call.lookup("arguments", "args")
+	return has
+}
+
+// convertChatRequest handles OpenAI, Anthropic, Vercel, Gemini and LangChain request objects.
+func convertChatRequest(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	conversation, ok := m.lookup("messages", "input", "contents", "prompt")
+	if !ok {
+		return nil, false
+	}
+
+	messages := []aiobservabilitytypes.Message{}
+	if system := systemMessage(m.first("system", "instructions", "system_instruction", "systemInstruction", "system_prompt")); system != nil {
+		messages = append(messages, *system)
+	} else if config, ok := m.obj("config"); ok {
+		if system := systemMessage(config.first("system_instruction", "systemInstruction")); system != nil {
+			messages = append(messages, *system)
+		}
+	}
+
+	// {messages: "[...]"}: the list arrives JSON-encoded once more from some SDKs
+	if s, isString := conversation.(string); isString {
+		var decoded any
+		if err := json.Unmarshal([]byte(s), &decoded); err == nil {
+			if _, isList := decoded.([]any); isList {
+				conversation = decoded
+			}
+		}
+	}
+	switch c := conversation.(type) {
+	case string:
+		if c != "" {
+			messages = append(messages, textMessage(aiobservabilitytypes.MessageRoleUser, c))
+		}
+	case []any:
+		for _, item := range flattenOnce(c) {
+			if s, isString := item.(string); isString {
+				messages = append(messages, textMessage(aiobservabilitytypes.MessageRoleUser, s))
+				continue
+			}
+			messages = append(messages, semconvMessage(asObject(item), aiobservabilitytypes.MessageRoleUser)...)
+		}
+	case map[string]any:
+		messages = append(messages, semconvMessage(c, aiobservabilitytypes.MessageRoleUser)...)
+	default:
+		return nil, false
+	}
+	return messages, true
+}
+
+// systemMessage returns nil when value is empty or unknown.
+func systemMessage(value any) *aiobservabilitytypes.Message {
+	msg := aiobservabilitytypes.Message{Role: aiobservabilitytypes.MessageRoleSystem, Content: []aiobservabilitytypes.Part{}}
+	switch v := value.(type) {
+	case string:
+		if v == "" {
+			return nil
+		}
+		msg.Content = append(msg.Content, textPart(v))
+	case []any:
+		for _, item := range v {
+			msg.Content = append(msg.Content, contentBlockPart(item))
+		}
+	case map[string]any:
+		parts, ok := object(v).list("parts")
+		if !ok {
+			return nil
+		}
+		for _, p := range parts {
+			msg.Content = append(msg.Content, semconvPart(p))
+		}
+	default:
+		return nil
+	}
+	if len(msg.Content) == 0 {
+		return nil
+	}
+	return &msg
+}
+
+// convertChatResponse handles the OpenAI Chat Completions {choices} response.
+func convertChatResponse(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	choices, ok := m.list("choices")
+	if !ok {
+		return nil, false
+	}
+	messages := make([]aiobservabilitytypes.Message, 0, len(choices))
+	for _, c := range choices {
+		choice := asObject(c)
+		var converted []aiobservabilitytypes.Message
+		if message, ok := toObject(choice.first("message", "delta")); ok {
+			converted = chatMessage(message, aiobservabilitytypes.MessageRoleAssistant)
+		} else if text, ok := choice.get("text"); ok {
+			converted = []aiobservabilitytypes.Message{textMessage(aiobservabilitytypes.MessageRoleAssistant, stringOf(text))}
+		} else {
+			converted = []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleAssistant, Content: []aiobservabilitytypes.Part{genericPart(choice)}}}
+		}
+		messages = append(messages, withFinishReason(converted, choice.str("finish_reason"))...)
+	}
+	return messages, true
+}
+
+func convertResponsesAPIResponse(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	output, ok := m.list("output")
+	if !ok {
+		return nil, false
+	}
+	messages := make([]aiobservabilitytypes.Message, 0, len(output))
+	for _, item := range output {
+		messages = append(messages, chatMessage(item, aiobservabilitytypes.MessageRoleAssistant)...)
+	}
+	if last := lastMessage(messages); last != nil && last.FinishReason == "" {
+		if details, ok := m.obj("incomplete_details"); ok {
+			last.FinishReason = normalizeFinishReason(details.str("reason"))
+		} else if m.str("status") == "completed" {
+			last.FinishReason = aiobservabilitytypes.FinishReasonStop
+		}
+	}
+	return messages, true
+}
+
+// convertGeminiResponse handles Gemini {candidates} and Google ADK {content} responses.
+func convertGeminiResponse(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	if content, ok := m.obj("content"); ok {
+		if hasParts := content.has("parts"); hasParts {
+			return withFinishReason(semconvMessage(content, aiobservabilitytypes.MessageRoleAssistant), finishReasonOf(m)), true
+		}
+	}
+	candidates, ok := m.list("candidates")
+	if !ok {
+		return nil, false
+	}
+	messages := make([]aiobservabilitytypes.Message, 0, len(candidates))
+	for _, c := range candidates {
+		candidate := asObject(c)
+		content, ok := candidate.obj("content")
+		if !ok {
+			generic := []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleAssistant, Content: []aiobservabilitytypes.Part{genericPart(candidate)}}}
+			messages = append(messages, withFinishReason(generic, finishReasonOf(candidate))...)
+			continue
+		}
+		messages = append(messages, withFinishReason(semconvMessage(content, aiobservabilitytypes.MessageRoleAssistant), finishReasonOf(candidate))...)
+	}
+	return messages, true
+}
+
+func convertLegacyCompletion(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	completion, ok := m.text("completion")
+	if !ok {
+		return nil, false
+	}
+	msg := aiobservabilitytypes.Message{Role: aiobservabilitytypes.MessageRoleAssistant, Content: []aiobservabilitytypes.Part{}}
+	if reasoning, ok := m.text("reasoning"); ok && reasoning != "" {
+		msg.Content = append(msg.Content, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: reasoning})
+	}
+	msg.Content = append(msg.Content, textPart(completion))
+	return []aiobservabilitytypes.Message{msg}, true
+}
+
+func convertLangChainGenerations(value any) ([]aiobservabilitytypes.Message, bool) {
+	m, ok := toObject(value)
+	if !ok {
+		return nil, false
+	}
+	generations, ok := m.list("generations")
+	if !ok {
+		return nil, false
+	}
+	messages := []aiobservabilitytypes.Message{}
+	for _, g := range flattenOnce(generations) {
+		gen := asObject(g)
+		var converted []aiobservabilitytypes.Message
+		if message, ok := gen.obj("message"); ok {
+			converted = chatMessage(message, aiobservabilitytypes.MessageRoleAssistant)
+		} else {
+			converted = []aiobservabilitytypes.Message{textMessage(aiobservabilitytypes.MessageRoleAssistant, gen.str("text"))}
+		}
+		messages = append(messages, withFinishReason(converted, asObject(gen.at("generation_info")).str("finish_reason"))...)
+	}
+	return messages, true
+}
+
+// withFinishReason sets reason on the last message that has none.
+func withFinishReason(messages []aiobservabilitytypes.Message, reason string) []aiobservabilitytypes.Message {
+	if last := lastMessage(messages); last != nil && last.FinishReason == "" {
+		last.FinishReason = normalizeFinishReason(reason)
+	}
+	return messages
+}

pkg/types/aiobservabilitytypes/genaimessages/envelope_test.go

@@ -0,0 +1,288 @@
+package genaimessages
+
+import (
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+func TestNormalizeEnvelopeRequests(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "AnthropicRequest_SystemStringBecomesSystemMessage",
+			raw: `{
+				"model": "claude",
+				"system": "Be brief.",
+				"messages": [{"role": "user", "content": "Hi"}],
+				"max_tokens": 100
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleSystem,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Be brief."},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+			},
+		},
+		{
+			name: "GeminiRequest_ConfigSystemInstructionBecomesSystemMessage",
+			raw: `{
+				"model": "gemini-2.0",
+				"config": {"system_instruction": "Be brief."},
+				"contents": [
+					{"role": "user", "parts": [{"text": "Hi"}]},
+					{
+						"role": "user",
+						"parts": [
+							{
+								"function_response": {"name": "get_weather", "response": {"temp": 20}}
+							}
+						]
+					}
+				]
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleSystem,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Be brief."},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, Name: "get_weather", Content: `{"temp":20}`},
+					},
+				},
+			},
+		},
+		{
+			name: "GeminiRequest_SystemInstructionPartsBecomeSystemMessage",
+			raw:  `{"system_instruction": {"parts": [{"text": "Be brief."}]}, "contents": [{"role": "user", "parts": [{"text": "Hi"}]}]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleSystem,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Be brief."},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+			},
+		},
+		{
+			name: "RequestWithMessagesAsJSONString_MessagesDecoded",
+			raw:  `{"messages":"[{\"role\":\"user\",\"content\":\"Hi\"}]"}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeEnvelopeChatResponses(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "StreamingChunkDelta_BecomesAssistantText",
+			raw:  `{"choices": [{"delta": {"role": "assistant", "content": "Hel"}, "finish_reason": null}]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hel"},
+					},
+				},
+			},
+		},
+		{
+			name: "LegacyCompletionChoiceText_BecomesAssistantTextWithLength",
+			raw:  `{"choices": [{"text": "Hello", "finish_reason": "length"}]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonLength,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hello"},
+					},
+				},
+			},
+		},
+		{
+			name: "FilteredChoiceWithoutMessage_BecomesGenericWithContentFilter",
+			raw:  `{"choices": [{"index": 0, "finish_reason": "content_filter"}]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonContentFilter,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeGeneric, Content: `{"finish_reason":"content_filter","index":0}`},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeEnvelopeOpenAIResponses(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "ResponsesAPIResponse_MessageAndReasoningItemsConverted",
+			raw: `{
+				"object": "response",
+				"status": "completed",
+				"output": [
+					{
+						"type": "reasoning",
+						"id": "rs_1",
+						"summary": [{"type": "summary_text", "text": "Thinking about it"}]
+					},
+					{
+						"type": "message",
+						"role": "assistant",
+						"content": [{"type": "output_text", "text": "Paris."}]
+					}
+				]
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "Thinking about it"},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Paris."},
+					},
+					FinishReason: aiobservabilitytypes.FinishReasonStop,
+				},
+			},
+		},
+		{
+			name: "ResponsesAPIResponseIncomplete_EncryptedReasoningEmptyAndFinishReasonLength",
+			raw: `{
+				"output": [
+					{"type": "reasoning", "content": [{"type": "reasoning_text", "text": "step 1"}]},
+					{"type": "reasoning", "encrypted_content": "gAAAA"}
+				],
+				"status": "incomplete",
+				"incomplete_details": {"reason": "max_output_tokens"}
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "step 1"},
+					},
+				},
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonLength,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeEnvelopeGemini(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "GeminiResponse_ThoughtAndFunctionCallPartsConverted",
+			raw: `{
+				"candidates": [
+					{
+						"content": {
+							"parts": [
+								{"text": "Let me check", "thought": true},
+								{"function_call": {"name": "get_weather", "args": {"city": "Paris"}}}
+							],
+							"role": "model"
+						},
+						"finishReason": "STOP"
+					}
+				],
+				"usageMetadata": {}
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonStop,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "Let me check"},
+						{Type: aiobservabilitytypes.PartTypeToolCall, Name: "get_weather", Arguments: map[string]any{"city": "Paris"}},
+					},
+				},
+			},
+		},
+		{
+			name: "GoogleADKResponse_ContentBecomesAssistantMessageWithStop",
+			raw:  `{"content": {"parts": [{"text": "It is 18°C and clear in Bengaluru."}], "role": "model"}, "finish_reason": "STOP"}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonStop,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "It is 18°C and clear in Bengaluru."},
+					},
+				},
+			},
+		},
+		{
+			name: "GeminiResponseBlockedBySafety_BecomesGenericWithContentFilter",
+			raw:  `{"candidates": [{"finishReason": "SAFETY", "index": 0}]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonContentFilter,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeGeneric, Content: `{"finishReason":"SAFETY","index":0}`},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeEnvelopeLangChain(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "LangChainGenerationWithOnlyText_BecomesAssistantTextWithLength",
+			raw:  `{"generations": [[{"text": "Observability is the ability", "generation_info": {"finish_reason": "length"}}]]}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonLength,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Observability is the ability"},
+					},
+				},
+			},
+		},
+	})
+}

pkg/types/aiobservabilitytypes/genaimessages/genaimessages.go

@@ -0,0 +1,71 @@
+package genaimessages
+
+import (
+	"encoding/json"
+	"strings"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+// Ordered by specificity: earlier converters never match a later format.
+var converters = []converter{
+	convertSemconvMessages,
+	convertChatMessageList,
+	convertToolCallList,
+	convertChatRequest,
+	convertChatResponse,
+	convertResponsesAPIResponse,
+	convertGeminiResponse,
+	convertLegacyCompletion,
+	convertLangChainGenerations,
+}
+
+// Normalize converts a gen_ai.*.messages value, a JSON string or a decoded value.
+// A string that is not JSON becomes one text part; JSON in no known format becomes
+// one generic part holding the original.
+func Normalize(raw any) []aiobservabilitytypes.Message {
+	var (
+		value    any
+		original string
+	)
+	switch v := raw.(type) {
+	case nil:
+		return []aiobservabilitytypes.Message{}
+	case string:
+		if strings.TrimSpace(v) == "" {
+			return []aiobservabilitytypes.Message{}
+		}
+		original = v
+		if err := json.Unmarshal([]byte(v), &value); err != nil {
+			return []aiobservabilitytypes.Message{{Content: []aiobservabilitytypes.Part{textPart(v)}}}
+		}
+	default:
+		value = v
+		original = stringOf(v)
+	}
+	if value == nil {
+		return []aiobservabilitytypes.Message{}
+	}
+
+	if list, ok := value.([]any); ok {
+		if len(list) == 0 {
+			return []aiobservabilitytypes.Message{}
+		}
+		// [[...]]: some SDKs wrap the conversation in one more list
+		if _, nested := firstItem(list).([]any); nested {
+			value = flattenOnce(list)
+		}
+		// ["{...}", "{...}"]: an array attribute holding one JSON message per element
+		if decoded, ok := decodeJSONStrings(list); ok {
+			value = decoded
+		}
+	}
+	for _, convert := range converters {
+		if messages, ok := convert(value); ok {
+			return messages
+		}
+	}
+	return genericMessages(original)
+}
+
+type converter func(value any) (messages []aiobservabilitytypes.Message, ok bool)

pkg/types/aiobservabilitytypes/genaimessages/genaimessages_test.go

@@ -0,0 +1,146 @@
+package genaimessages
+
+import (
+	"encoding/json"
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestNormalize(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "ListNestedInAnotherList_Unwrapped",
+			raw:  `[[{"role":"user","content":"Hi"}]]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+			},
+		},
+		{
+			name: "ListOfToolDefinitions_FallsBackToGeneric",
+			raw:  `[{"type":"function","function":{"name":"get_weather","description":"Weather","parameters":{"type":"object"}}}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeGeneric, Content: `[{"type":"function","function":{"name":"get_weather","description":"Weather","parameters":{"type":"object"}}}]`},
+					},
+				},
+			},
+		},
+		{
+			name: "ListOfMessagesAsJSONStrings_EachDecoded",
+			raw:  []any{`{"role":"user","content":"Hi"}`, `{"role":"assistant","content":"Hello"}`},
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hello"},
+					},
+				},
+			},
+		},
+		{
+			name: "TextThatIsNotJSON_ReturnedAsOneTextPart",
+			raw:  "Let the cost of the ball be x dollars.",
+			want: []aiobservabilitytypes.Message{
+				{
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Let the cost of the ball be x dollars."},
+					},
+				},
+			},
+		},
+		{
+			name: "JSONInNoKnownFormat_ReturnedVerbatimAsGeneric",
+			raw:  `{"output": "{\"query\": \"SigNoz\"}", "kwargs": {"name": "search_web"}}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeGeneric, Content: `{"output": "{\"query\": \"SigNoz\"}", "kwargs": {"name": "search_web"}}`},
+					},
+				},
+			},
+		},
+		{
+			name: "AlreadyDecodedValue_ConvertedLikeJSON",
+			raw:  []any{map[string]any{"role": "user", "content": "hi"}},
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "hi"},
+					},
+				},
+			},
+		},
+		{
+			name: "BlankString_ReturnsNoMessages",
+			raw:  " \n\t ",
+			want: []aiobservabilitytypes.Message{},
+		},
+		{
+			name: "JSONNull_ReturnsNoMessages",
+			raw:  `null`,
+			want: []aiobservabilitytypes.Message{},
+		},
+	})
+}
+
+func FuzzNormalize(f *testing.F) {
+	for _, seed := range []string{
+		`[{"role": "user", "parts": [{"type": "text", "content": "Hi"}]}]`,
+		`[{"role": "assistant", "content": [{"type": "tool_use", "id": "toolu_1", "name": "f", "input": {}}]}]`,
+		`[{"role": "tool", "tool_call_id": "call_1", "content": [{"type": "text", "text": "ok"}]}]`,
+		`{"messages": [{"role": "user", "content": "Hi"}], "system": [{"type": "text", "text": "Be brief."}]}`,
+		`{"choices": [{"message": {"role": "assistant", "content": "Hi"}, "finish_reason": "stop"}]}`,
+		`{"output": [{"type": "function_call", "call_id": "c", "name": "f", "arguments": "{}"}, {"type": "reasoning"}]}`,
+		`{"candidates": [{"content": {"parts": [{"functionCall": {"name": "f", "args": {}}}], "role": "model"}}]}`,
+		`{"generations": [[{"text": "Hi", "message": {"lc": 1, "type": "constructor", "id": ["AIMessage"], "kwargs": {}}}]]}`,
+		`[[{"role": "user", "content": "Hi"}]]`,
+		`["{\"role\": \"user\", \"content\": \"Hi\"}"]`,
+		``, `null`, `{}`, `[]`, `[{}]`, `"text"`, `42`,
+	} {
+		f.Add(seed)
+	}
+	f.Fuzz(func(t *testing.T, raw string) {
+		inputs := []any{raw}
+		var decoded any
+		if json.Unmarshal([]byte(raw), &decoded) == nil {
+			inputs = append(inputs, decoded)
+		}
+		for _, input := range inputs {
+			for i, message := range Normalize(input) {
+				if message.Content == nil {
+					t.Fatalf("message %d has nil content for %#v", i, input)
+				}
+			}
+		}
+	})
+}
+
+type normalizeCase struct {
+	name string
+	raw  any
+	want []aiobservabilitytypes.Message
+}
+
+func assertNormalize(t *testing.T, testCases []normalizeCase) {
+	t.Helper()
+	for _, testCase := range testCases {
+		t.Run(testCase.name, func(t *testing.T) {
+			assert.Equal(t, testCase.want, Normalize(testCase.raw))
+		})
+	}
+}

pkg/types/aiobservabilitytypes/genaimessages/message.go

@@ -0,0 +1,254 @@
+package genaimessages
+
+import (
+	"cmp"
+	"strings"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+// chatMessage returns nil for LangGraph tool definitions.
+func chatMessage(value any, defaultRole aiobservabilitytypes.MessageRole) []aiobservabilitytypes.Message {
+	m, ok := toObject(value)
+	if !ok {
+		return genericMessages(stringOf(value))
+	}
+	if inner, role, ok := langChainMessage(m); ok {
+		return chatMessage(inner, role)
+	}
+	if isLangGraphToolDefinition(m) {
+		return nil
+	}
+
+	typ := m.str("type")
+	if isResponsesItemType(typ) {
+		return responsesItemMessages(m, typ)
+	}
+	if typ == "reasoning" {
+		return []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleAssistant, Content: reasoningParts(m)}}
+	}
+
+	role := cmp.Or(normalizeRole(m.str("role")), standardRole(typ), defaultRole)
+	msg := aiobservabilitytypes.Message{
+		Role:         role,
+		Content:      append(messageContentParts(m, role), messageToolCallParts(m)...),
+		FinishReason: normalizeFinishReason(finishReasonOf(m)),
+	}
+	if refusal := m.str("refusal"); refusal != "" {
+		msg.Content = append(msg.Content, textPart(refusal))
+	}
+	return []aiobservabilitytypes.Message{msg}
+}
+
+// langChainMessage unwraps a serialised message: {lc, type: "constructor", id: [..., "HumanMessage"], kwargs}.
+func langChainMessage(m object) (object, aiobservabilitytypes.MessageRole, bool) {
+	kwargs, ok := m.obj("kwargs")
+	if !ok || m.str("type") != "constructor" {
+		return nil, "", false
+	}
+	return kwargs, cmp.Or(langChainRole(m.at("id")), standardRole(kwargs.str("type"))), true
+}
+
+func langChainRole(id any) aiobservabilitytypes.MessageRole {
+	path, ok := id.([]any)
+	if !ok || len(path) == 0 {
+		return ""
+	}
+	switch class := stringOf(lastItem(path)); {
+	case strings.HasPrefix(class, "System"):
+		return aiobservabilitytypes.MessageRoleSystem
+	case strings.HasPrefix(class, "Human"):
+		return aiobservabilitytypes.MessageRoleUser
+	case strings.HasPrefix(class, "AI"):
+		return aiobservabilitytypes.MessageRoleAssistant
+	case strings.HasPrefix(class, "Tool"), strings.HasPrefix(class, "Function"):
+		return aiobservabilitytypes.MessageRoleTool
+	}
+	return ""
+}
+
+// isLangGraphToolDefinition matches {role: "tool", content: {type: "function"}} without tool_call_id.
+func isLangGraphToolDefinition(m object) bool {
+	if normalizeRole(m.str("role")) != aiobservabilitytypes.MessageRoleTool {
+		return false
+	}
+	if has := m.has("tool_call_id"); has {
+		return false
+	}
+	content, ok := m.obj("content")
+	if !ok || content.str("type") != "function" {
+		return false
+	}
+	ok = content.has("function")
+	return ok
+}
+
+// messageContentParts turns a tool message's text into its result.
+func messageContentParts(m object, role aiobservabilitytypes.MessageRole) []aiobservabilitytypes.Part {
+	parts := []aiobservabilitytypes.Part{}
+	switch content := m.at("content").(type) {
+	case nil:
+	case string:
+		if role == aiobservabilitytypes.MessageRoleTool {
+			parts = append(parts, toolMessageResult(m, content))
+		} else if content != "" {
+			parts = append(parts, textPart(content))
+		}
+	case []any:
+		for _, item := range content {
+			part := contentBlockPart(item)
+			if role == aiobservabilitytypes.MessageRoleTool && part.Type == aiobservabilitytypes.PartTypeText {
+				part = toolMessageResult(m, part.Content)
+			}
+			parts = append(parts, part)
+		}
+	case map[string]any:
+		if contentParts, ok := object(content).list("parts"); ok {
+			for _, p := range contentParts {
+				parts = append(parts, semconvPart(p))
+			}
+		} else if role == aiobservabilitytypes.MessageRoleTool {
+			parts = append(parts, toolMessageResult(m, stringOf(content)))
+		} else {
+			parts = append(parts, genericPart(content))
+		}
+	default:
+		parts = append(parts, genericPart(content))
+	}
+	return parts
+}
+
+func messageToolCallParts(m object) []aiobservabilitytypes.Part {
+	calls, _ := m.first("tool_calls", "toolCalls").([]any)
+	if kwargs, ok := m.obj("additional_kwargs"); ok && len(calls) == 0 {
+		calls, _ = kwargs.list("tool_calls")
+	}
+	parts := make([]aiobservabilitytypes.Part, 0, len(calls)+1)
+	for _, call := range calls {
+		parts = append(parts, toolCallPart(call))
+	}
+	if call, ok := m.obj("function_call"); ok {
+		parts = append(parts, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolCall, Name: call.str("name"), Arguments: parseArguments(call.at("arguments"))})
+	}
+	return parts
+}
+
+func toolMessageResult(m object, content string) aiobservabilitytypes.Part {
+	return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: stringOf(m.first("tool_call_id", "toolCallId")), Name: m.str("name"), Content: content}
+}
+
+// semconvMessage falls back to chatMessage when m has no parts. LiteLLM mixes in
+// OpenAI fields: tool_calls beside parts, and tool_call_id on tool messages.
+func semconvMessage(m object, defaultRole aiobservabilitytypes.MessageRole) []aiobservabilitytypes.Message {
+	parts, ok := m.list("parts")
+	if !ok {
+		return chatMessage(m, defaultRole)
+	}
+	role := cmp.Or(normalizeRole(m.str("role")), defaultRole)
+	msg := aiobservabilitytypes.Message{
+		Role:         role,
+		Content:      []aiobservabilitytypes.Part{},
+		FinishReason: normalizeFinishReason(finishReasonOf(m)),
+	}
+	for _, p := range parts {
+		part := semconvPart(p)
+		if role == aiobservabilitytypes.MessageRoleTool && part.Type == aiobservabilitytypes.PartTypeText {
+			part = toolMessageResult(m, part.Content)
+		}
+		msg.Content = append(msg.Content, part)
+	}
+	msg.Content = append(msg.Content, messageToolCallParts(m)...)
+	return []aiobservabilitytypes.Message{msg}
+}
+
+// isResponsesItemType matches role-less Responses API tool and MCP items.
+func isResponsesItemType(typ string) bool {
+	switch typ {
+	case "":
+		return false
+	case "function_call", "function_call_output", "tool_call", "custom_tool_call", "custom_tool_call_output",
+		"mcp_call", "mcp_list_tools", "mcp_approval_request", "mcp_approval_response":
+		return true
+	}
+	return strings.HasSuffix(typ, "_call") || strings.HasSuffix(typ, "_call_output")
+}
+
+// responsesItemMessages turns a built-in tool item into a call, plus its result when the item carries one.
+func responsesItemMessages(m object, typ string) []aiobservabilitytypes.Message {
+	switch typ {
+	case "function_call", "tool_call", "custom_tool_call":
+		return []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleAssistant, Content: []aiobservabilitytypes.Part{{
+			Type:      aiobservabilitytypes.PartTypeToolCall,
+			ID:        stringOf(m.first("call_id", "id")),
+			Name:      m.str("name"),
+			Arguments: parseArguments(m.first("arguments", "args", "input")),
+		}}}}
+	case "function_call_output", "custom_tool_call_output":
+		return []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleTool, Content: []aiobservabilitytypes.Part{{
+			Type:       aiobservabilitytypes.PartTypeToolResult,
+			ToolCallID: stringOf(m.first("call_id", "id")),
+			Content:    stringOf(m.first("output", "result")),
+		}}}}
+	}
+
+	id := stringOf(m.first("call_id", "id"))
+	if strings.HasSuffix(typ, "_output") || typ == "mcp_approval_response" {
+		return []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleTool, Content: []aiobservabilitytypes.Part{{
+			Type:       aiobservabilitytypes.PartTypeToolResult,
+			ToolCallID: id,
+			Name:       strings.TrimSuffix(typ, "_output"),
+			Content:    stringOf(m.first("output", "result", "results")),
+		}}}}
+	}
+
+	args := make(map[string]any, len(m))
+	for k, v := range m {
+		switch k {
+		case "type", "id", "call_id", "status", "name", "server_label", "output", "result", "results":
+		default:
+			args[k] = v
+		}
+	}
+	name := stringOf(m.first("name", "server_label"))
+	if name == "" {
+		name = typ
+	}
+	call := aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolCall, ID: id, Name: name}
+	if arguments, ok := m.get("arguments"); ok {
+		call.Arguments = parseArguments(arguments)
+	} else if len(args) > 0 {
+		call.Arguments = args
+	}
+	msg := aiobservabilitytypes.Message{Role: aiobservabilitytypes.MessageRoleAssistant, Content: []aiobservabilitytypes.Part{call}}
+	if result := m.first("output", "result", "results"); result != nil {
+		msg.Content = append(msg.Content, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: id, Name: name, Content: stringOf(result)})
+	}
+	return []aiobservabilitytypes.Message{msg}
+}
+
+// reasoningParts returns one empty thinking part for encrypted reasoning without a summary.
+func reasoningParts(m object) []aiobservabilitytypes.Part {
+	parts := []aiobservabilitytypes.Part{}
+	if summary, ok := m.list("summary"); ok {
+		for _, s := range summary {
+			parts = append(parts, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(asObject(s).first("text", "content"))})
+		}
+	}
+	if content, ok := m.list("content"); ok {
+		for _, c := range content {
+			parts = append(parts, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(asObject(c).first("text", "content"))})
+		}
+	}
+	if len(parts) == 0 {
+		parts = append(parts, aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking})
+	}
+	return parts
+}
+
+func textMessage(role aiobservabilitytypes.MessageRole, content string) aiobservabilitytypes.Message {
+	return aiobservabilitytypes.Message{Role: role, Content: []aiobservabilitytypes.Part{textPart(content)}}
+}
+
+func genericMessages(content string) []aiobservabilitytypes.Message {
+	return []aiobservabilitytypes.Message{{Content: []aiobservabilitytypes.Part{genericPart(content)}}}
+}

pkg/types/aiobservabilitytypes/genaimessages/message_test.go

@@ -0,0 +1,257 @@
+package genaimessages
+
+import (
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+func TestNormalizeMessageChat(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "AnthropicMessages_ThinkingAndToolUseBlocksConverted",
+			raw: `[
+				{"role": "user", "content": "Hi"},
+				{
+					"role": "assistant",
+					"content": [
+						{"type": "thinking", "thinking": "Let me see"},
+						{"type": "redacted_thinking", "data": "x"},
+						{
+							"type": "tool_use",
+							"id": "toolu_1",
+							"name": "lookup",
+							"input": {"q": "a"}
+						}
+					],
+					"stop_reason": "tool_use"
+				},
+				{
+					"role": "user",
+					"content": [
+						{
+							"type": "tool_result",
+							"tool_use_id": "toolu_1",
+							"content": "found",
+							"is_error": true
+						}
+					]
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+				{
+					Role:         aiobservabilitytypes.MessageRoleAssistant,
+					FinishReason: aiobservabilitytypes.FinishReasonToolCall,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "Let me see"},
+						{Type: aiobservabilitytypes.PartTypeThinking},
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "toolu_1", Name: "lookup", Arguments: map[string]any{"q": "a"}},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "toolu_1", Content: "found", IsError: true},
+					},
+				},
+			},
+		},
+		{
+			name: "OpenAIToolMessageTextBlocks_BecomeToolResult",
+			raw: `[
+				{
+					"role": "tool",
+					"tool_call_id": "c1",
+					"content": [{"type": "text", "text": "20C"}, {"type": "text", "text": "clear"}]
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleTool,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "c1", Content: "20C"},
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "c1", Content: "clear"},
+					},
+				},
+			},
+		},
+		{
+			name: "OpenAIRefusal_BecomesAssistantText",
+			raw:  `[{"role": "assistant", "content": null, "refusal": "I can't help with that."}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "I can't help with that."},
+					},
+				},
+			},
+		},
+		{
+			name: "OpenAILegacyFunctionCall_BecomesToolCall",
+			raw:  `[{"role": "assistant", "content": null, "function_call": {"name": "get_weather", "arguments": "{\"city\": \"Paris\"}"}}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, Name: "get_weather", Arguments: map[string]any{"city": "Paris"}},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeMessageLangChain(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "LangChainTypedMessages_ToolCallsReadFromAdditionalKwargs",
+			raw: `[
+				{"type": "human", "content": "Weather?"},
+				{
+					"type": "ai",
+					"content": "",
+					"additional_kwargs": {
+						"tool_calls": [
+							{
+								"id": "call_1",
+								"type": "function",
+								"function": {"name": "get_weather", "arguments": "{\"city\":\"Paris\"}"}
+							}
+						]
+					}
+				},
+				{
+					"type": "tool",
+					"content": "20C",
+					"tool_call_id": "call_1",
+					"name": "get_weather"
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Weather?"},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "call_1", Name: "get_weather", Arguments: map[string]any{"city": "Paris"}},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleTool,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "call_1", Name: "get_weather", Content: "20C"},
+					},
+				},
+			},
+		},
+		{
+			name: "LangGraphToolDefinitionMessage_IsDropped",
+			raw: `[
+				{
+					"role": "tool",
+					"content": {
+						"type": "function",
+						"function": {"name": "get_weather", "parameters": {}}
+					}
+				},
+				{"role": "user", "content": "Hi"}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Hi"},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizeMessageOpenAIResponsesItems(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "BuiltInToolCallItem_BecomesToolCall",
+			raw: `{
+				"object": "response",
+				"status": "completed",
+				"output": [
+					{
+						"type": "web_search_call",
+						"id": "ws_1",
+						"status": "completed",
+						"action": {"type": "search", "query": "SigNoz"}
+					},
+					{
+						"type": "custom_tool_call",
+						"call_id": "c1",
+						"name": "grep",
+						"input": "foo"
+					},
+					{
+						"type": "message",
+						"role": "assistant",
+						"content": [{"type": "output_text", "text": "Found it."}]
+					}
+				]
+			}`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "ws_1", Name: "web_search_call", Arguments: map[string]any{"action": map[string]any{"type": "search", "query": "SigNoz"}}},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "c1", Name: "grep", Arguments: "foo"},
+					},
+				},
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Found it."},
+					},
+					FinishReason: aiobservabilitytypes.FinishReasonStop,
+				},
+			},
+		},
+		{
+			name: "BuiltInToolOutputItem_BecomesToolResult",
+			raw:  `[{"type": "local_shell_call_output", "call_id": "call_2", "output": "ok"}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleTool,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "call_2", Name: "local_shell_call", Content: "ok"},
+					},
+				},
+			},
+		},
+		{
+			name: "MCPCallItemWithOutput_BecomesToolCallAndToolResult",
+			raw:  `[{"type": "mcp_call", "id": "mcp_1", "server_label": "deepwiki", "name": "ask_question", "arguments": "{\"q\": \"What is SigNoz?\"}", "output": "An observability platform."}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "mcp_1", Name: "ask_question", Arguments: map[string]any{"q": "What is SigNoz?"}},
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "mcp_1", Name: "ask_question", Content: "An observability platform."},
+					},
+				},
+			},
+		},
+	})
+}

pkg/types/aiobservabilitytypes/genaimessages/part.go

@@ -0,0 +1,152 @@
+package genaimessages
+
+import (
+	"strings"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+func contentBlockPart(value any) aiobservabilitytypes.Part {
+	p, ok := toObject(value)
+	if !ok {
+		if s, ok := value.(string); ok {
+			return textPart(s)
+		}
+		return genericPart(value)
+	}
+	typ := p.str("type")
+	switch typ {
+	case "text", "input_text", "output_text", "refusal", "summary_text":
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeText, Content: stringOf(p.first("text", "content", "refusal"))}
+	case "thinking", "reasoning":
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(p.first("thinking", "text", "content", "reasoning"))}
+	case "redacted_thinking":
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking}
+	case "tool-call", "tool_use", "tool_call", "function_call", "server_tool_use", "mcp_tool_use":
+		return toolCallPart(p)
+	case "tool-result", "tool_result", "function_call_output":
+		return toolResultBlockPart(p, p.first("result", "output", "content"))
+	case "":
+		if text, ok := p.get("text"); ok {
+			return textPart(stringOf(text))
+		}
+	default:
+		if strings.HasSuffix(typ, "_tool_result") {
+			return toolResultBlockPart(p, p.at("content"))
+		}
+	}
+	return genericPart(p)
+}
+
+func semconvPart(value any) aiobservabilitytypes.Part {
+	p, ok := toObject(value)
+	if !ok {
+		if s, ok := value.(string); ok {
+			return textPart(s)
+		}
+		return genericPart(value)
+	}
+	switch p.str("type") {
+	case "text":
+		if p.flag("thought") {
+			return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(p.first("content", "text"))}
+		}
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeText, Content: stringOf(p.first("content", "text"))}
+	case "reasoning", "thinking":
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(p.first("content", "thinking", "text"))}
+	case "redacted_thinking", "redacted_reasoning":
+		return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking}
+	case "tool_call":
+		return aiobservabilitytypes.Part{
+			Type:      aiobservabilitytypes.PartTypeToolCall,
+			ID:        p.str("id"),
+			Name:      p.str("name"),
+			Arguments: parseArguments(p.first("arguments", "args", "input")),
+		}
+	case "tool_call_response":
+		return aiobservabilitytypes.Part{
+			Type:       aiobservabilitytypes.PartTypeToolResult,
+			ToolCallID: p.str("id"),
+			Name:       p.str("name"),
+			Content:    stringOf(p.first("response", "result", "content", "output")),
+			IsError:    boolOf(p.first("is_error", "isError")),
+		}
+	case "":
+		// Gemini parts carry no type; the field name is the type.
+		if text, ok := p.get("text"); ok {
+			if p.flag("thought") {
+				return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeThinking, Content: stringOf(text)}
+			}
+			return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeText, Content: stringOf(text)}
+		}
+		if call, ok := toObject(p.first("functionCall", "function_call")); ok {
+			return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolCall, ID: call.str("id"), Name: call.str("name"), Arguments: parseArguments(call.at("args"))}
+		}
+		if resp, ok := toObject(p.first("functionResponse", "function_response")); ok {
+			return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: resp.str("id"), Name: resp.str("name"), Content: resp.str("response")}
+		}
+	}
+	return genericPart(p)
+}
+
+// toolCallPart reads the OpenAI, flat, Anthropic and Vercel tool call shapes.
+func toolCallPart(value any) aiobservabilitytypes.Part {
+	call, ok := toObject(value)
+	if !ok {
+		return genericPart(value)
+	}
+	part := aiobservabilitytypes.Part{
+		Type: aiobservabilitytypes.PartTypeToolCall,
+		ID:   stringOf(call.first("toolCallId", "call_id", "id")),
+		Name: stringOf(call.first("toolName", "name")),
+	}
+	if fn, ok := call.obj("function"); ok {
+		part.Name = fn.str("name")
+		part.Arguments = parseArguments(fn.at("arguments"))
+		return part
+	}
+	part.Arguments = parseArguments(call.first("arguments", "args", "input"))
+	return part
+}
+
+// toolResultBlockPart unwraps the Vercel {type, value} result wrapper.
+func toolResultBlockPart(p object, result any) aiobservabilitytypes.Part {
+	if nested, ok := toObject(result); ok && len(nested) <= 2 {
+		if v, ok := nested.get("value"); ok {
+			result = v
+		}
+	}
+	return aiobservabilitytypes.Part{
+		Type:       aiobservabilitytypes.PartTypeToolResult,
+		ToolCallID: stringOf(p.first("toolCallId", "tool_use_id", "tool_call_id", "call_id", "id")),
+		Name:       stringOf(p.first("toolName", "name")),
+		Content:    toolResultText(result),
+		IsError:    boolOf(p.first("isError", "is_error")),
+	}
+}
+
+// toolResultText joins a list of text blocks; anything else goes through stringOf.
+func toolResultText(result any) string {
+	list, ok := result.([]any)
+	if !ok || len(list) == 0 {
+		return stringOf(result)
+	}
+	texts := make([]string, 0, len(list))
+	for _, item := range list {
+		block := asObject(item)
+		text, ok := block.text("text")
+		if !ok || (len(block) == 2 && block.str("type") != "text") || len(block) > 2 {
+			return stringOf(result)
+		}
+		texts = append(texts, text)
+	}
+	return strings.Join(texts, "\n")
+}
+
+func textPart(content string) aiobservabilitytypes.Part {
+	return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeText, Content: content}
+}
+
+func genericPart(value any) aiobservabilitytypes.Part {
+	return aiobservabilitytypes.Part{Type: aiobservabilitytypes.PartTypeGeneric, Content: stringOf(value)}
+}

pkg/types/aiobservabilitytypes/genaimessages/part_test.go

@@ -0,0 +1,130 @@
+package genaimessages
+
+import (
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+func TestNormalizePartContent(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "PartWithUnknownType_BecomesGeneric",
+			raw:  `[{"role":"user","parts":[{"type":"image","url":"http://x/y.png"}]}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeGeneric, Content: `{"type":"image","url":"http://x/y.png"}`},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizePartThinking(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "ThoughtReasoningAndHiddenParts_BecomeThinking",
+			raw: `[
+				{
+					"role": "assistant",
+					"parts": [
+						{"type": "text", "content": "Let me think", "thought": true},
+						{"type": "reasoning", "content": "step 1"},
+						{"type": "redacted_reasoning", "data": "xyz"},
+						{"type": "text", "content": "Answer"}
+					]
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "Let me think"},
+						{Type: aiobservabilitytypes.PartTypeThinking, Content: "step 1"},
+						{Type: aiobservabilitytypes.PartTypeThinking},
+						{Type: aiobservabilitytypes.PartTypeText, Content: "Answer"},
+					},
+				},
+			},
+		},
+	})
+}
+
+func TestNormalizePartTools(t *testing.T) {
+	assertNormalize(t, []normalizeCase{
+		{
+			name: "AnthropicServerToolUseAndWebSearchResult_BecomeToolCallAndResult",
+			raw: `[
+				{
+					"role": "assistant",
+					"content": [
+						{"type": "server_tool_use", "id": "srvtoolu_1", "name": "web_search", "input": {"query": "SigNoz"}},
+						{"type": "web_search_tool_result", "tool_use_id": "srvtoolu_1", "content": [{"type": "web_search_result", "title": "SigNoz", "url": "https://signoz.io"}]}
+					]
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "srvtoolu_1", Name: "web_search", Arguments: map[string]any{"query": "SigNoz"}},
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "srvtoolu_1", Content: `[{"title":"SigNoz","type":"web_search_result","url":"https://signoz.io"}]`},
+					},
+				},
+			},
+		},
+		{
+			name: "AnthropicToolResultTextBlocks_JoinedIntoOneString",
+			raw: `[
+				{
+					"role": "user",
+					"content": [
+						{
+							"type": "tool_result",
+							"tool_use_id": "t1",
+							"content": [
+								{"type": "text", "text": "line one"},
+								{"type": "text", "text": "line two"}
+							]
+						}
+					]
+				}
+			]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleUser,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "t1", Content: "line one\nline two"},
+					},
+				},
+			},
+		},
+		{
+			name: "VercelToolResultJSONWrapper_ValueUnwrapped",
+			raw:  `[{"role": "tool", "content": [{"type": "tool-result", "toolCallId": "call_1", "toolName": "get_weather", "result": {"type": "json", "value": {"temp_c": 18}}}]}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleTool,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolResult, ToolCallID: "call_1", Name: "get_weather", Content: `{"temp_c":18}`},
+					},
+				},
+			},
+		},
+		{
+			name: "ToolCallWithInvalidJSONArguments_ArgumentsKeptAsString",
+			raw:  `[{"role": "assistant", "tool_calls": [{"id": "call_1", "type": "function", "function": {"name": "get_weather", "arguments": "{city: Paris"}}]}]`,
+			want: []aiobservabilitytypes.Message{
+				{
+					Role: aiobservabilitytypes.MessageRoleAssistant,
+					Content: []aiobservabilitytypes.Part{
+						{Type: aiobservabilitytypes.PartTypeToolCall, ID: "call_1", Name: "get_weather", Arguments: "{city: Paris"},
+					},
+				},
+			},
+		},
+	})
+}

pkg/types/aiobservabilitytypes/genaimessages/role.go

@@ -0,0 +1,54 @@
+package genaimessages
+
+import (
+	"strings"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+)
+
+var finishReasonKeys = []string{"finish_reason", "finishReason", "stop_reason"}
+
+// normalizeRole keeps an unknown role, lowercased.
+func normalizeRole(role string) aiobservabilitytypes.MessageRole {
+	if known := standardRole(role); known != "" {
+		return known
+	}
+	return aiobservabilitytypes.MessageRole(strings.ToLower(strings.TrimSpace(role)))
+}
+
+// normalizeFinishReason keeps an unknown reason, lowercased.
+func normalizeFinishReason(reason string) aiobservabilitytypes.FinishReason {
+	lowered := strings.ToLower(strings.TrimSpace(reason))
+	switch lowered {
+	case "stop", "end_turn", "stop_sequence", "completed", "complete", "eos", "finished":
+		return aiobservabilitytypes.FinishReasonStop
+	case "tool_call", "tool_calls", "tool_use", "function_call":
+		return aiobservabilitytypes.FinishReasonToolCall
+	case "length", "max_tokens", "max_output_tokens", "max_completion_tokens", "model_length":
+		return aiobservabilitytypes.FinishReasonLength
+	case "content_filter", "content_filtered", "guardrail_intervened", "safety", "refusal", "recitation", "blocklist", "prohibited_content", "spii":
+		return aiobservabilitytypes.FinishReasonContentFilter
+	case "error", "failed", "incomplete":
+		return aiobservabilitytypes.FinishReasonError
+	}
+	return aiobservabilitytypes.FinishReason(lowered)
+}
+
+// standardRole maps vendor role names onto MessageRole; anything else is "".
+func standardRole(role string) aiobservabilitytypes.MessageRole {
+	switch strings.ToLower(strings.TrimSpace(role)) {
+	case "system", "developer":
+		return aiobservabilitytypes.MessageRoleSystem
+	case "user", "human":
+		return aiobservabilitytypes.MessageRoleUser
+	case "assistant", "ai", "model":
+		return aiobservabilitytypes.MessageRoleAssistant
+	case "tool", "function":
+		return aiobservabilitytypes.MessageRoleTool
+	}
+	return ""
+}
+
+func finishReasonOf(m object) string {
+	return stringOf(m.first(finishReasonKeys...))
+}

pkg/types/aiobservabilitytypes/genaimessages/role_test.go

@@ -0,0 +1,53 @@
+package genaimessages
+
+import (
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestNormalizeRole(t *testing.T) {
+	testCases := []struct {
+		name  string
+		roles []string
+		want  aiobservabilitytypes.MessageRole
+	}{
+		{name: "SystemAndDeveloper_MapToSystem", roles: []string{"system", "developer", " Developer "}, want: aiobservabilitytypes.MessageRoleSystem},
+		{name: "UserAndHuman_MapToUser", roles: []string{"user", "human", "HUMAN"}, want: aiobservabilitytypes.MessageRoleUser},
+		{name: "AssistantAIAndModel_MapToAssistant", roles: []string{"assistant", "ai", "model"}, want: aiobservabilitytypes.MessageRoleAssistant},
+		{name: "ToolAndFunction_MapToTool", roles: []string{"tool", "function"}, want: aiobservabilitytypes.MessageRoleTool},
+		{name: "UnknownRole_KeptLowercased", roles: []string{"Narrator"}, want: "narrator"},
+		{name: "EmptyRole_StaysEmpty", roles: []string{"", "  "}, want: ""},
+	}
+	for _, testCase := range testCases {
+		t.Run(testCase.name, func(t *testing.T) {
+			for _, role := range testCase.roles {
+				assert.Equal(t, testCase.want, normalizeRole(role), role)
+			}
+		})
+	}
+}
+
+func TestNormalizeFinishReason(t *testing.T) {
+	testCases := []struct {
+		name    string
+		reasons []string
+		want    aiobservabilitytypes.FinishReason
+	}{
+		{name: "EndOfAnswer_MapsToStop", reasons: []string{"stop", "end_turn", "stop_sequence", "completed", "complete", "eos", "finished", "STOP"}, want: aiobservabilitytypes.FinishReasonStop},
+		{name: "ToolCallVariants_MapToToolCall", reasons: []string{"tool_call", "tool_calls", "tool_use", "function_call"}, want: aiobservabilitytypes.FinishReasonToolCall},
+		{name: "TokenLimits_MapToLength", reasons: []string{"length", "max_tokens", "max_output_tokens", "max_completion_tokens", "model_length", "MAX_TOKENS"}, want: aiobservabilitytypes.FinishReasonLength},
+		{name: "SafetyBlocks_MapToContentFilter", reasons: []string{"content_filter", "content_filtered", "guardrail_intervened", "safety", "refusal", "recitation", "blocklist", "prohibited_content", "spii", "SAFETY"}, want: aiobservabilitytypes.FinishReasonContentFilter},
+		{name: "Failures_MapToError", reasons: []string{"error", "failed", "incomplete"}, want: aiobservabilitytypes.FinishReasonError},
+		{name: "UnknownReason_KeptLowercased", reasons: []string{"Weird"}, want: "weird"},
+		{name: "EmptyReason_StaysEmpty", reasons: []string{"", " "}, want: ""},
+	}
+	for _, testCase := range testCases {
+		t.Run(testCase.name, func(t *testing.T) {
+			for _, reason := range testCase.reasons {
+				assert.Equal(t, testCase.want, normalizeFinishReason(reason), reason)
+			}
+		})
+	}
+}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost-gateway/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role":"user","content":"What's the weather in Bengaluru? Use the tool."},{"role":"assistant","content":"","tool_calls":[{"id":"call_yGnJsGOZMnHKTA2x1XM8897b","type":"function","name":"get_current_weather","args":"{\"city\":\"Bengaluru\"}"}]},{"role":"tool","content":"{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost-gateway/gen_ai.input.messages.want.json

@@ -0,0 +1,33 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru? Use the tool."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_yGnJsGOZMnHKTA2x1XM8897b",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost-gateway/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role":"assistant","content":"","tool_calls":[{"id":"call_yGnJsGOZMnHKTA2x1XM8897b","type":"function","name":"get_current_weather","args":"{\"city\":\"Bengaluru\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost-gateway/gen_ai.output.messages.want.json

@@ -0,0 +1,15 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_yGnJsGOZMnHKTA2x1XM8897b",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role": "user", "parts": [{"content": "What's the weather in Bengaluru? Use the tool.", "type": "text"}]}, {"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_iXrmKomEbGycID5aX4BYrQcg", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_iXrmKomEbGycID5aX4BYrQcg", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost/gen_ai.input.messages.want.json

@@ -0,0 +1,34 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru? Use the tool."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_iXrmKomEbGycID5aX4BYrQcg",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_iXrmKomEbGycID5aX4BYrQcg"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_iXrmKomEbGycID5aX4BYrQcg", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/bifrost/gen_ai.output.messages.want.json

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_iXrmKomEbGycID5aX4BYrQcg",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langchain/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role": "user", "parts": [{"type": "text", "content": "What's the weather in Bengaluru?"}]}, {"role": "assistant", "parts": [{"type": "tool_call", "id": "call_mnRhZ0fYlvrSujkEcdmpppNw", "name": "get_weather", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_mnRhZ0fYlvrSujkEcdmpppNw", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 18, \"summary\": \"Clear\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langchain/gen_ai.input.messages.want.json

@@ -0,0 +1,34 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru?"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_mnRhZ0fYlvrSujkEcdmpppNw",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 18, \"summary\": \"Clear\"}",
+				"toolCallId": "call_mnRhZ0fYlvrSujkEcdmpppNw"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langchain/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "id": "call_mnRhZ0fYlvrSujkEcdmpppNw", "name": "get_weather", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langchain/gen_ai.output.messages.want.json

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_mnRhZ0fYlvrSujkEcdmpppNw",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langsmith/gen_ai.completion.txt

@@ -0,0 +1 @@
+{"generations":[[{"text":"","generation_info":{"finish_reason":"tool_calls","logprobs":null},"type":"ChatGeneration","message":{"lc":1,"type":"constructor","id":["langchain","schema","messages","AIMessage"],"kwargs":{"content":"","additional_kwargs":{"refusal":null},"response_metadata":{"token_usage":{"completion_tokens":17,"prompt_tokens":63,"total_tokens":80,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0}},"model_provider":"openai","model_name":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_5feb5fe6c2","id":"chatcmpl-Dm101OqaY01WKntqj29Epz5er05ry","service_tier":"default","finish_reason":"tool_calls","logprobs":null},"type":"ai","id":"lc_run--019e844a-d27a-7c23-b1ed-a542e0f855da-0","tool_calls":[{"name":"get_weather","args":{"city":"Bengaluru"},"id":"call_nbrbkc5fom95q8uMA2bCvH6s","type":"tool_call"}],"usage_metadata":{"input_tokens":63,"output_tokens":17,"total_tokens":80,"input_token_details":{"audio":0,"cache_read":0},"output_token_details":{"audio":0,"reasoning":0}},"invalid_tool_calls":[]}}}]],"llm_output":{"token_usage":{"completion_tokens":17,"prompt_tokens":63,"total_tokens":80,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0}},"model_provider":"openai","model_name":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_5feb5fe6c2","id":"chatcmpl-Dm101OqaY01WKntqj29Epz5er05ry","service_tier":"default"},"run":null,"type":"LLMResult"}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langsmith/gen_ai.completion.want.json

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_nbrbkc5fom95q8uMA2bCvH6s",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langsmith/gen_ai.prompt.txt

@@ -0,0 +1 @@
+{"messages":[[{"lc":1,"type":"constructor","id":["langchain","schema","messages","SystemMessage"],"kwargs":{"content":"You are a weather assistant. Call get_weather once per city.","type":"system"}},{"lc":1,"type":"constructor","id":["langchain","schema","messages","HumanMessage"],"kwargs":{"content":"What's the weather in Bengaluru?","type":"human"}},{"lc":1,"type":"constructor","id":["langchain","schema","messages","AIMessage"],"kwargs":{"content":"","additional_kwargs":{"refusal":null},"response_metadata":{"token_usage":{"completion_tokens":17,"prompt_tokens":63,"total_tokens":80,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0}},"model_provider":"openai","model_name":"gpt-4o-mini-2024-07-18","system_fingerprint":"fp_5feb5fe6c2","id":"chatcmpl-Dm101OqaY01WKntqj29Epz5er05ry","service_tier":"default","finish_reason":"tool_calls","logprobs":null},"type":"ai","id":"lc_run--019e844a-d27a-7c23-b1ed-a542e0f855da-0","tool_calls":[{"name":"get_weather","args":{"city":"Bengaluru"},"id":"call_nbrbkc5fom95q8uMA2bCvH6s","type":"tool_call"}],"usage_metadata":{"input_tokens":63,"output_tokens":17,"total_tokens":80,"input_token_details":{"audio":0,"cache_read":0},"output_token_details":{"audio":0,"reasoning":0}},"invalid_tool_calls":[]}},{"lc":1,"type":"constructor","id":["langchain","schema","messages","ToolMessage"],"kwargs":{"content":"{\"city\": \"Bengaluru\", \"temp_c\": 18, \"summary\": \"Clear\"}","type":"tool","tool_call_id":"call_nbrbkc5fom95q8uMA2bCvH6s","status":"success"}}]]}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/langsmith/gen_ai.prompt.want.json

@@ -0,0 +1,43 @@
+[
+	{
+		"role": "system",
+		"content": [
+			{
+				"type": "text",
+				"content": "You are a weather assistant. Call get_weather once per city."
+			}
+		]
+	},
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru?"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_nbrbkc5fom95q8uMA2bCvH6s",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 18, \"summary\": \"Clear\"}",
+				"toolCallId": "call_nbrbkc5fom95q8uMA2bCvH6s"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/litellm/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role": "user", "parts": [{"type": "text", "content": "What's the weather in Bengaluru? Use the tool."}]}, {"role": "assistant", "parts": [], "tool_calls": [{"function": {"arguments": "{\"city\":\"Bengaluru\"}", "name": "get_current_weather"}, "id": "call_GuU9siyYfjnx3DfHKzFbRrvD", "type": "function"}]}, {"role": "tool", "parts": [{"type": "text", "content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}], "tool_call_id": "call_GuU9siyYfjnx3DfHKzFbRrvD"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/litellm/gen_ai.input.messages.want.json

@@ -0,0 +1,34 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru? Use the tool."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_GuU9siyYfjnx3DfHKzFbRrvD",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_GuU9siyYfjnx3DfHKzFbRrvD"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/litellm/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "text", "content": "The animal in the image is a cartoon duck."}], "finish_reason": "stop"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/litellm/gen_ai.output.messages.want.json

@@ -0,0 +1,12 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "text",
+				"content": "The animal in the image is a cartoon duck."
+			}
+		],
+		"finishReason": "stop"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/llmgateway/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role": "user", "parts": [{"content": "What's the weather in Bengaluru? Use the tool.", "type": "text"}]}, {"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_itnlpgQcfe0fb0nLJym7DTnt", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_itnlpgQcfe0fb0nLJym7DTnt", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/llmgateway/gen_ai.input.messages.want.json

@@ -0,0 +1,34 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru? Use the tool."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_itnlpgQcfe0fb0nLJym7DTnt",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_itnlpgQcfe0fb0nLJym7DTnt"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/llmgateway/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_itnlpgQcfe0fb0nLJym7DTnt", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/llmgateway/gen_ai.output.messages.want.json

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_itnlpgQcfe0fb0nLJym7DTnt",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.prompt.messages.txt

@@ -0,0 +1 @@
+[{"role":"system","content":"You are a weather assistant. When asked about weather, call get-weather once per city and summarise."},{"role":"user","content":[{"type":"text","text":"What is the weather in Bengaluru?"}]},{"role":"assistant","content":[{"type":"tool-call","toolCallId":"call_526phoykytobsvLouzES805J","toolName":"getWeather","args":{"city":"Bengaluru"}}]},{"role":"tool","content":[{"type":"tool-result","toolCallId":"call_526phoykytobsvLouzES805J","toolName":"getWeather","result":{"city":"Bengaluru","temperatureC":18,"summary":"Clear"}}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.prompt.messages.want.json

@@ -0,0 +1,44 @@
+[
+	{
+		"role": "system",
+		"content": [
+			{
+				"type": "text",
+				"content": "You are a weather assistant. When asked about weather, call get-weather once per city and summarise."
+			}
+		]
+	},
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What is the weather in Bengaluru?"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_526phoykytobsvLouzES805J",
+				"name": "getWeather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\":\"Bengaluru\",\"summary\":\"Clear\",\"temperatureC\":18}",
+				"name": "getWeather",
+				"toolCallId": "call_526phoykytobsvLouzES805J"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.response.text.txt

@@ -0,0 +1 @@
+The current weather in Bengaluru is clear with a temperature of 18°C.

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.response.text.want.json

@@ -0,0 +1,10 @@
+[
+	{
+		"content": [
+			{
+				"type": "text",
+				"content": "The current weather in Bengaluru is clear with a temperature of 18°C."
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.response.toolCalls.txt

@@ -0,0 +1 @@
+[{"toolCallType":"function","toolCallId":"call_526phoykytobsvLouzES805J","toolName":"getWeather","args":"{\"city\":\"Bengaluru\"}"}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/mastra/ai.response.toolCalls.want.json

@@ -0,0 +1,15 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_526phoykytobsvLouzES805J",
+				"name": "getWeather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference-openai-agents/input.value.txt

@@ -0,0 +1 @@
+{"include": [], "input": [{"content": "What's the weather in Bangalore right now?", "role": "user"}, {"arguments": "{\"city\":\"Bangalore\"}", "call_id": "call_MQTQ0XYL95vA5k31cbCgRt5y", "name": "get_weather", "type": "function_call", "id": "fc_0368c3e62fb9ae12006a199f7c14c481a1a22444594cc574e4", "status": "completed"}, {"call_id": "call_MQTQ0XYL95vA5k31cbCgRt5y", "output": "27C, partly cloudy, light breeze from the south.", "type": "function_call_output"}], "instructions": "You are a concise weather assistant. When asked about weather, call the get_weather tool exactly once per city, then summarise the result in one sentence.", "model": "gpt-4o-mini", "tools": [{"name": "get_weather", "parameters": {"properties": {"city": {"title": "City", "type": "string"}}, "required": ["city"], "title": "get_weather_args", "type": "object", "additionalProperties": false}, "strict": true, "type": "function", "description": "Look up the current weather for a city. Returns a short summary string."}]}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference-openai-agents/input.value.want.json

@@ -0,0 +1,43 @@
+[
+	{
+		"role": "system",
+		"content": [
+			{
+				"type": "text",
+				"content": "You are a concise weather assistant. When asked about weather, call the get_weather tool exactly once per city, then summarise the result in one sentence."
+			}
+		]
+	},
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bangalore right now?"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_MQTQ0XYL95vA5k31cbCgRt5y",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bangalore"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "27C, partly cloudy, light breeze from the south.",
+				"toolCallId": "call_MQTQ0XYL95vA5k31cbCgRt5y"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference-openai-agents/output.value.txt

@@ -0,0 +1 @@
+{"id":"resp_017c5eb995d99968006a199f9b483481979ca790db905506fc","created_at":1780064155.0,"error":null,"incomplete_details":null,"instructions":"You solve problems step by step and give a final answer.","metadata":{},"model":"o3-mini-2025-01-31","object":"response","output":[{"id":"rs_017c5eb995d99968006a199f9bff248197978bf9193f34c29a","summary":[],"type":"reasoning"},{"id":"msg_017c5eb995d99968006a199f9c8dcc81979f4e10afbe5350a1","content":[{"annotations":[],"text":"Step 1: Let the cost of the ball be x dollars.\nStep 2: Since the bat costs $1 more than the ball, its cost is x + 1 dollars.\nStep 3: According to the problem, the total cost of the bat and ball is $1.10. Set up the equation:\n  x + (x + 1) = 1.10\nStep 4: Simplify the equation:\n  2x + 1 = 1.10\nStep 5: Subtract 1 from both sides:\n  2x = 0.10\nStep 6: Divide both sides by 2:\n  x = 0.05\n\nFinal Answer: The ball costs $0.05.","type":"output_text","logprobs":[]}],"role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":true,"temperature":1.0,"tool_choice":"auto","tools":[],"top_p":1.0,"background":false,"completed_at":1780064157.0,"max_output_tokens":null,"max_tool_calls":null,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"effort":"medium","summary":null,"context":"current_turn"},"safety_identifier":null,"service_tier":"default","status":"completed","text":{"format":{"type":"text"},"verbosity":"medium"},"top_logprobs":0,"truncation":"disabled","usage":{"input_tokens":49,"input_tokens_details":{"cached_tokens":0},"output_tokens":431,"output_tokens_details":{"reasoning_tokens":128},"total_tokens":480},"user":null,"billing":{"payer":"developer"},"frequency_penalty":0.0,"moderation":null,"presence_penalty":0.0,"store":true}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference-openai-agents/output.value.want.json

@@ -0,0 +1,20 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "thinking"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "text",
+				"content": "Step 1: Let the cost of the ball be x dollars.\nStep 2: Since the bat costs $1 more than the ball, its cost is x + 1 dollars.\nStep 3: According to the problem, the total cost of the bat and ball is $1.10. Set up the equation:\n  x + (x + 1) = 1.10\nStep 4: Simplify the equation:\n  2x + 1 = 1.10\nStep 5: Subtract 1 from both sides:\n  2x = 0.10\nStep 6: Divide both sides by 2:\n  x = 0.05\n\nFinal Answer: The ball costs $0.05."
+			}
+		],
+		"finishReason": "stop"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference/input.value.txt

@@ -0,0 +1 @@
+{"messages": [{"role": "user", "content": "What's the weather in Paris and in London? Use the tool for each."}, {"content": null, "refusal": null, "role": "assistant", "annotations": [], "audio": null, "function_call": null, "tool_calls": [{"id": "call_SW4hst7nzysgvWSAz4OdyK9D", "function": {"arguments": "{\"city\": \"Paris\"}", "name": "get_current_weather"}, "type": "function"}, {"id": "call_si8wiETYGpooMB7gMXSgMQpk", "function": {"arguments": "{\"city\": \"London\"}", "name": "get_current_weather"}, "type": "function"}]}, {"role": "tool", "tool_call_id": "call_SW4hst7nzysgvWSAz4OdyK9D", "content": "{\"city\": \"Paris\", \"temp_c\": 18, \"summary\": \"Clear\"}"}, {"role": "tool", "tool_call_id": "call_si8wiETYGpooMB7gMXSgMQpk", "content": "{\"city\": \"London\", \"temp_c\": 18, \"summary\": \"Clear\"}"}], "model": "gpt-4o-mini", "max_tokens": 80}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference/input.value.want.json

@@ -0,0 +1,52 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Paris and in London? Use the tool for each."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_SW4hst7nzysgvWSAz4OdyK9D",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Paris"
+				}
+			},
+			{
+				"type": "tool_call",
+				"id": "call_si8wiETYGpooMB7gMXSgMQpk",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "London"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Paris\", \"temp_c\": 18, \"summary\": \"Clear\"}",
+				"toolCallId": "call_SW4hst7nzysgvWSAz4OdyK9D"
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"London\", \"temp_c\": 18, \"summary\": \"Clear\"}",
+				"toolCallId": "call_si8wiETYGpooMB7gMXSgMQpk"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference/output.value.txt

@@ -0,0 +1 @@
+{"id":"chatcmpl-DksB6cYbMPwTBkJixOAuxKGZpQKds","choices":[{"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"content":null,"refusal":null,"role":"assistant","annotations":[],"tool_calls":[{"id":"call_MdYKTRrkshuBG9W5oBXYZaRc","function":{"arguments":"{\"city\":\"Bengaluru\",\"unit\":\"c\"}","name":"get_current_weather"},"type":"function"}]}}],"created":1780063720,"model":"gpt-4o-mini-2024-07-18","object":"chat.completion","service_tier":"default","system_fingerprint":"fp_c6aa0586c9","usage":{"completion_tokens":22,"prompt_tokens":65,"total_tokens":87,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0}}}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openinference/output.value.want.json

@@ -0,0 +1,17 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_MdYKTRrkshuBG9W5oBXYZaRc",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru",
+					"unit": "c"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openllmetry/gen_ai.input.messages.txt

@@ -0,0 +1 @@
+[{"role": "user", "parts": [{"content": "What's the weather in Bengaluru? Use the tool.", "type": "text"}]}, {"role": "assistant", "parts": [{"type": "tool_call", "name": "get_weather", "id": "call_TaqNOsbmsz4ifWLVyDHYAAEK", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_TaqNOsbmsz4ifWLVyDHYAAEK", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openllmetry/gen_ai.input.messages.want.json

@@ -0,0 +1,34 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What's the weather in Bengaluru? Use the tool."
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_TaqNOsbmsz4ifWLVyDHYAAEK",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_TaqNOsbmsz4ifWLVyDHYAAEK"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openllmetry/gen_ai.output.messages.txt

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "name": "get_weather", "id": "call_TaqNOsbmsz4ifWLVyDHYAAEK", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]