Merge remote-tracking branch 'origin/main' into feat/ai-trace-thread-normalize

<!--A few plain bullets saying what changed and why, for a reviewer
skimming it - not a wall of text, not a restatement of the diff, not
generated boilerplate.-->
#### Description
- Adds `GET /api/v1/traces/{traceID}/thread`, which returns the spans
that carry `gen_ai.input.messages` or `gen_ai.output.messages`, in
timestamp order.
- Pages with `after` / `before` cursors (`nextCursor` / `prevCursor`),
or `spanId` to open the page around a span (404 if absent); the three
are exclusive.
- Message normalisation (`formatted_input` / `formatted_output`) comes
in a stacked follow-up PR.

<!--Reference issues using `Closes #issue-number` to enable automatic
closure on merge. -->
#### Issues closed by this PR
Part of https://github.com/SigNoz/nerve-pod/issues/266

<!--Anything reviewers should keep in mind while reviewing -->
#### Additional Information
- The thread reads only the `attributes` JSON column, so spans that have
messages only in the old attribute maps don't appear.
  - The waterfall API is unchanged.

.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:
@@ -9844,6 +9883,53 @@ components:
       required:
       - aggregations
       type: object
+    SpantypesGettableTraceSummary:
+      properties:
+        ai:
+          $ref: '#/components/schemas/SpantypesTraceAISummary'
+        endTimestampMillis:
+          minimum: 0
+          type: integer
+        hasMissingSpans:
+          type: boolean
+        rootServiceEntryPoint:
+          type: string
+        rootServiceName:
+          type: string
+        rootSpanStatusCode:
+          type: string
+        startTimestampMillis:
+          minimum: 0
+          type: integer
+        totalErrorSpansCount:
+          minimum: 0
+          type: integer
+        totalSpansCount:
+          minimum: 0
+          type: integer
+      required:
+      - startTimestampMillis
+      - endTimestampMillis
+      - rootServiceName
+      - rootServiceEntryPoint
+      - rootSpanStatusCode
+      - totalSpansCount
+      - totalErrorSpansCount
+      - hasMissingSpans
+      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:
@@ -10158,6 +10244,102 @@ components:
           nullable: true
           type: object
       type: object
+    SpantypesThreadSpan:
+      properties:
+        attributes:
+          additionalProperties: {}
+          type: object
+        duration_nano:
+          minimum: 0
+          type: integer
+        events:
+          items:
+            $ref: '#/components/schemas/SpantypesEvent'
+          type: array
+        formatted_input:
+          items:
+            $ref: '#/components/schemas/AiobservabilitytypesMessage'
+          type: array
+        formatted_output:
+          items:
+            $ref: '#/components/schemas/AiobservabilitytypesMessage'
+          type: array
+        has_error:
+          type: boolean
+        kind_string:
+          type: string
+        name:
+          type: string
+        parent_span_id:
+          type: string
+        references:
+          items:
+            $ref: '#/components/schemas/SpantypesOtelSpanRef'
+          type: array
+        resource:
+          additionalProperties:
+            type: string
+          type: object
+        span_id:
+          type: string
+        status_code_string:
+          type: string
+        status_message:
+          type: string
+        time_unix:
+          minimum: 0
+          type: integer
+        trace_id:
+          type: string
+      required:
+      - span_id
+      - trace_id
+      - parent_span_id
+      - name
+      - kind_string
+      - time_unix
+      - duration_nano
+      - has_error
+      - status_code_string
+      - status_message
+      - resource
+      - attributes
+      - events
+      - references
+      type: object
+    SpantypesTraceAISummary:
+      properties:
+        tokens:
+          $ref: '#/components/schemas/SpantypesTraceAITokens'
+        totalCost:
+          type: number
+      required:
+      - tokens
+      type: object
+    SpantypesTraceAITokens:
+      properties:
+        cacheRead:
+          minimum: 0
+          type: integer
+        cacheWrite:
+          minimum: 0
+          type: integer
+        input:
+          minimum: 0
+          type: integer
+        output:
+          minimum: 0
+          type: integer
+        reasoning:
+          minimum: 0
+          type: integer
+      required:
+      - input
+      - output
+      - cacheRead
+      - cacheWrite
+      - reasoning
+      type: object
     SpantypesUpdatableSpanMapper:
       properties:
         config:
@@ -15882,6 +16064,164 @@ paths:
       tags:
       - tracedetail
       x-signoz-stability: alpha
+  /api/v1/traces/{traceID}/summary:
+    get:
+      deprecated: false
+      description: Returns the trace's time range, root span, span and error counts,
+        and whether any spans are missing. AI traces also include token and cost totals.
+      operationId: GetTraceSummary
+      parameters:
+      - in: path
+        name: traceID
+        required: true
+        schema:
+          type: string
+      responses:
+        "200":
+          content:
+            application/json:
+              schema:
+                properties:
+                  data:
+                    $ref: '#/components/schemas/SpantypesGettableTraceSummary'
+                  status:
+                    type: string
+                required:
+                - status
+                - data
+                type: object
+          description: OK
+        "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 summary for a trace
+      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:
+      - description: Page size, at most 100. 0 means 20.
+        in: query
+        name: limit
+        schema:
+          description: Page size, at most 100. 0 means 20.
+          type: integer
+      - description: The nextCursor of a page; returns the spans after it. Set only
+          one of after, before and spanId.
+        in: query
+        name: after
+        schema:
+          description: The nextCursor of a page; returns the spans after it. Set only
+            one of after, before and spanId.
+          type: string
+      - description: The prevCursor of a page; returns the spans before it. Set only
+          one of after, before and spanId.
+        in: query
+        name: before
+        schema:
+          description: The prevCursor of a page; returns the spans before it. Set
+            only one of after, before and spanId.
+          type: string
+      - description: Returns the page around this span. Set only one of after, before
+          and spanId.
+        in: query
+        name: spanId
+        schema:
+          description: Returns the page around this span. Set only one of after, before
+            and spanId.
+          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/scripts/story-shots.mjs

@@ -417,7 +417,7 @@ for (const theme of themes.length ? themes : [null]) {
 						break;
 					}
 
-					height = needed;
+					height = Math.ceil(needed);
 					await page.setViewportSize({ width: Number(opts.width), height });
 					await page.waitForTimeout(Number(opts.settle));
 				}

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
@@ -11335,6 +11382,82 @@ export interface SpantypesGettableTraceAggregationsDTO {
 	aggregations: SpantypesSpanAggregationResultDTO[];
 }
 
+export interface SpantypesTraceAITokensDTO {
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	cacheRead: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	cacheWrite: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	input: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	output: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	reasoning: number;
+}
+
+export interface SpantypesTraceAISummaryDTO {
+	tokens: SpantypesTraceAITokensDTO;
+	/**
+	 * @type number
+	 */
+	totalCost?: number;
+}
+
+export interface SpantypesGettableTraceSummaryDTO {
+	ai?: SpantypesTraceAISummaryDTO;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	endTimestampMillis: number;
+	/**
+	 * @type boolean
+	 */
+	hasMissingSpans: boolean;
+	/**
+	 * @type string
+	 */
+	rootServiceEntryPoint: string;
+	/**
+	 * @type string
+	 */
+	rootServiceName: string;
+	/**
+	 * @type string
+	 */
+	rootSpanStatusCode: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	startTimestampMillis: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	totalErrorSpansCount: number;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	totalSpansCount: number;
+}
+
 export interface SpantypesOtelSpanRefDTO {
 	/**
 	 * @type string
@@ -11350,6 +11473,94 @@ export interface SpantypesOtelSpanRefDTO {
 	traceId?: string;
 }
 
+export type SpantypesThreadSpanDTOAttributes = { [key: string]: unknown };
+
+export type SpantypesThreadSpanDTOResource = { [key: string]: string };
+
+export interface SpantypesThreadSpanDTO {
+	/**
+	 * @type object
+	 */
+	attributes: SpantypesThreadSpanDTOAttributes;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	duration_nano: number;
+	/**
+	 * @type array
+	 */
+	events: SpantypesEventDTO[];
+	/**
+	 * @type array
+	 */
+	formatted_input?: AiobservabilitytypesMessageDTO[];
+	/**
+	 * @type array
+	 */
+	formatted_output?: AiobservabilitytypesMessageDTO[];
+	/**
+	 * @type boolean
+	 */
+	has_error: boolean;
+	/**
+	 * @type string
+	 */
+	kind_string: string;
+	/**
+	 * @type string
+	 */
+	name: string;
+	/**
+	 * @type string
+	 */
+	parent_span_id: string;
+	/**
+	 * @type array
+	 */
+	references: SpantypesOtelSpanRefDTO[];
+	/**
+	 * @type object
+	 */
+	resource: SpantypesThreadSpanDTOResource;
+	/**
+	 * @type string
+	 */
+	span_id: string;
+	/**
+	 * @type string
+	 */
+	status_code_string: string;
+	/**
+	 * @type string
+	 */
+	status_message: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	time_unix: number;
+	/**
+	 * @type string
+	 */
+	trace_id: string;
+}
+
+export interface SpantypesGettableTraceThreadDTO {
+	/**
+	 * @type string
+	 */
+	nextCursor?: string;
+	/**
+	 * @type string
+	 */
+	prevCursor?: string;
+	/**
+	 * @type array
+	 */
+	spans: SpantypesThreadSpanDTO[];
+}
+
 export type SpantypesWaterfallSpanDTOAttributesAnyOf = {
 	[key: string]: unknown;
 };
@@ -13023,6 +13234,51 @@ export type GetTraceAggregations200 = {
 	status: string;
 };
 
+export type GetTraceSummaryPathParameters = {
+	traceID: string;
+};
+export type GetTraceSummary200 = {
+	data: SpantypesGettableTraceSummaryDTO;
+	/**
+	 * @type string
+	 */
+	status: string;
+};
+
+export type GetTraceThreadPathParameters = {
+	traceID: string;
+};
+export type GetTraceThreadParams = {
+	/**
+	 * @type integer
+	 * @description Page size, at most 100. 0 means 20.
+	 */
+	limit?: number;
+	/**
+	 * @type string
+	 * @description The nextCursor of a page; returns the spans after it. Set only one of after, before and spanId.
+	 */
+	after?: string;
+	/**
+	 * @type string
+	 * @description The prevCursor of a page; returns the spans before it. Set only one of after, before and spanId.
+	 */
+	before?: string;
+	/**
+	 * @type string
+	 * @description Returns the page around this span. Set only one of after, before and spanId.
+	 */
+	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 +22,11 @@ import type {
 	GetFlamegraphPathParameters,
 	GetTraceAggregations200,
 	GetTraceAggregationsPathParameters,
+	GetTraceSummary200,
+	GetTraceSummaryPathParameters,
+	GetTraceThread200,
+	GetTraceThreadParams,
+	GetTraceThreadPathParameters,
 	GetWaterfallV4200,
 	GetWaterfallV4PathParameters,
 	RenderErrorResponseDTO,
@@ -27,6 +38,26 @@ 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 +158,223 @@ export const useGetTraceAggregations = <
 > => {
 	return useMutation(getGetTraceAggregationsMutationOptions(options));
 };
+/**
+ * Returns the trace's time range, root span, span and error counts, and whether any spans are missing. AI traces also include token and cost totals.
+ * @summary Get summary for a trace
+ */
+export const getTraceSummary = (
+	{ traceID }: GetTraceSummaryPathParameters,
+	signal?: AbortSignal,
+) => {
+	return GeneratedAPIInstance<GetTraceSummary200>({
+		url: `/api/v1/traces/${traceID}/summary`,
+		method: 'GET',
+		signal,
+	});
+};
+
+export const getGetTraceSummaryQueryKey = ({
+	traceID,
+}: GetTraceSummaryPathParameters) => {
+	return [`/api/v1/traces/${traceID}/summary`] as const;
+};
+
+export const getGetTraceSummaryQueryOptions = <
+	TData = Awaited<ReturnType<typeof getTraceSummary>>,
+	TError = ErrorType<RenderErrorResponseDTO>,
+>(
+	{ traceID }: GetTraceSummaryPathParameters,
+	options?: {
+		query?: UseQueryOptions<
+			Awaited<ReturnType<typeof getTraceSummary>>,
+			TError,
+			TData
+		>;
+	},
+) => {
+	const { query: queryOptions } = options ?? {};
+
+	const queryKey =
+		queryOptions?.queryKey ?? getGetTraceSummaryQueryKey({ traceID });
+
+	const queryFn: QueryFunction<Awaited<ReturnType<typeof getTraceSummary>>> = ({
+		signal,
+	}) => getTraceSummary({ traceID }, signal);
+
+	return {
+		queryKey,
+		queryFn,
+		enabled: traceID !== null && traceID !== undefined,
+		...queryOptions,
+	} as UseQueryOptions<
+		Awaited<ReturnType<typeof getTraceSummary>>,
+		TError,
+		TData
+	> & { queryKey: QueryKey };
+};
+
+export type GetTraceSummaryQueryResult = NonNullable<
+	Awaited<ReturnType<typeof getTraceSummary>>
+>;
+export type GetTraceSummaryQueryError = ErrorType<RenderErrorResponseDTO>;
+
+/**
+ * @summary Get summary for a trace
+ */
+
+export function useGetTraceSummary<
+	TData = Awaited<ReturnType<typeof getTraceSummary>>,
+	TError = ErrorType<RenderErrorResponseDTO>,
+>(
+	{ traceID }: GetTraceSummaryPathParameters,
+	options?: {
+		query?: UseQueryOptions<
+			Awaited<ReturnType<typeof getTraceSummary>>,
+			TError,
+			TData
+		>;
+	},
+): UseQueryResult<TData, TError> & { queryKey: QueryKey } {
+	const queryOptions = getGetTraceSummaryQueryOptions({ traceID }, options);
+
+	const query = useQuery(queryOptions) as UseQueryResult<TData, TError> & {
+		queryKey: QueryKey;
+	};
+
+	return withQueryKey(query, queryOptions.queryKey);
+}
+
+/**
+ * @summary Get summary for a trace
+ */
+export const invalidateGetTraceSummary = async (
+	queryClient: QueryClient,
+	{ traceID }: GetTraceSummaryPathParameters,
+	options?: InvalidateOptions,
+): Promise<QueryClient> => {
+	await queryClient.invalidateQueries(
+		{ queryKey: getGetTraceSummaryQueryKey({ traceID }) },
+		options,
+	);
+
+	return queryClient;
+};
+
+/**
+ * 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/components/QuickFilters/QuickFilters.styles.scss

@@ -12,6 +12,7 @@
 		overflow: visible;
 		position: relative;
 		align-self: stretch;
+		clip-path: inset(0 -100vw 0 0);
 	}
 }
 

frontend/src/components/QuickFilters/QuickFilters.tsx

@@ -57,6 +57,7 @@ export default function QuickFilters(props: IQuickFiltersProps): JSX.Element {
 		showFilterCollapse = true,
 		showQueryName = true,
 		useFieldApis,
+		savedViewsHeader,
 	} = props;
 	const [isSettingsOpen, setIsSettingsOpen] = useState(false);
 	const [params, setParams] = useApiMonitoringParams();
@@ -379,6 +380,7 @@ export default function QuickFilters(props: IQuickFiltersProps): JSX.Element {
 	return (
 		<div className="quick-filters-container">
 			<div className="quick-filters">
+				{savedViewsHeader}
 				{source !== QuickFiltersSource.INFRA_MONITORING && (
 					<section className="header">
 						{renderLeftActions()}

frontend/src/components/QuickFilters/QuickFiltersLayout/QuickFiltersLayout.module.scss

@@ -8,9 +8,7 @@
 	overflow: hidden;
 }
 
-// Positioned so overlays (settings drawer) paint above the content pane
-// without changing this pane's layout width.
-.filters {
+.sidebar {
 	width: 280px;
 	flex-shrink: 0;
 	display: flex;
@@ -21,6 +19,44 @@
 	z-index: 2;
 }
 
+.savedViews {
+	flex: 1;
+	min-height: 0;
+	display: flex;
+	flex-direction: column;
+	background: var(--l1-background);
+	border-right: 1px solid var(--l1-border);
+}
+
+.quickFilters {
+	position: absolute;
+	inset: 0;
+	display: flex;
+	flex-direction: column;
+	min-height: 0;
+	background: var(--l1-background);
+	transition: transform 0.2s ease-in-out;
+	z-index: 1;
+
+	&.isOpen {
+		transform: translateX(100%);
+	}
+}
+
+// No quick filters: the header sits in flow and the list stays under it
+.isStatic {
+	border-right: 1px solid var(--l1-border);
+
+	.quickFilters {
+		position: static;
+		flex-shrink: 0;
+	}
+
+	.savedViews {
+		border-right: 0;
+	}
+}
+
 // Bounded box for the OverlayScrollbar inside it (`.overlay-scrollbar` is
 // `height: 100%`), which owns the scrolling.
 .content {
@@ -31,3 +67,7 @@
 	flex-direction: column;
 	overflow: hidden;
 }
+
+.contentInner {
+	height: 100%;
+}

frontend/src/components/QuickFilters/QuickFiltersLayout/QuickFiltersLayout.tsx

@@ -1,6 +1,9 @@
-import { ComponentProps, ReactNode } from 'react';
+import { ComponentProps, ReactNode, useState } from 'react';
 import cx from 'classnames';
 import OverlayScrollbar from 'components/OverlayScrollbar/OverlayScrollbar';
+import SavedViewsHeader from 'container/SavedViews/SavedViewsHeader';
+import SavedViewsPanel from 'container/SavedViews/SavedViewsPanel';
+import { useSavedViewEnabled } from 'hooks/useSavedViewEnabled';
 
 import QuickFilters from '../QuickFilters';
 
@@ -12,8 +15,15 @@ type QuickFiltersElementProps = JSX.LibraryManagedAttributes<
 	ComponentProps<typeof QuickFilters>
 >;
 
+// What the page configures; the layout adds the open / close wiring.
+type SavedViewsElementProps = Omit<
+	ComponentProps<typeof SavedViewsPanel>,
+	'onClose'
+>;
+
 export interface QuickFiltersLayoutProps {
-	quickFilterProps: QuickFiltersElementProps;
+	quickFilterProps?: QuickFiltersElementProps;
+	savedViewProps?: SavedViewsElementProps;
 	showFilters: boolean;
 	className?: string;
 	contentClassName?: string;
@@ -23,20 +33,60 @@ export interface QuickFiltersLayoutProps {
 
 function QuickFiltersLayout({
 	quickFilterProps,
+	savedViewProps,
 	showFilters,
 	className,
 	contentClassName,
 	testId,
 	children,
 }: QuickFiltersLayoutProps): JSX.Element {
+	const [isViewsOpen, setIsViewsOpen] = useState(false);
+	const isSavedViewEnabled = useSavedViewEnabled();
+
+	const hasQuickFilters = !!quickFilterProps;
+	const hasSavedViews = !!savedViewProps && isSavedViewEnabled;
+
+	const showSidebar = showFilters && (hasQuickFilters || hasSavedViews);
+
+	const isPanelPinned = hasSavedViews && !hasQuickFilters;
+
+	const isSliding = hasQuickFilters && isViewsOpen;
+
+	const savedViewsHeader = hasSavedViews ? (
+		<SavedViewsHeader
+			{...savedViewProps}
+			onOpenViews={isPanelPinned ? undefined : (): void => setIsViewsOpen(true)}
+		/>
+	) : undefined;
+
 	return (
 		<div className={cx(styles.layout, className)} data-testid={testId}>
-			{showFilters && (
+			{showSidebar && (
 				<aside
-					className={styles.filters}
+					className={cx(styles.sidebar, { [styles.isStatic]: !hasQuickFilters })}
 					data-testid="quick-filters-layout-filters"
 				>
-					<QuickFilters {...quickFilterProps} />
+					<div
+						className={cx(styles.quickFilters, { [styles.isOpen]: isSliding })}
+						data-testid="quick-filters-layout-drawer"
+					>
+						{hasQuickFilters ? (
+							<QuickFilters
+								{...quickFilterProps}
+								savedViewsHeader={savedViewsHeader}
+							/>
+						) : (
+							savedViewsHeader
+						)}
+					</div>
+					<div className={styles.savedViews}>
+						{hasSavedViews && (isPanelPinned || isViewsOpen) && (
+							<SavedViewsPanel
+								{...savedViewProps}
+								onClose={isPanelPinned ? undefined : (): void => setIsViewsOpen(false)}
+							/>
+						)}
+					</div>
 				</aside>
 			)}
 			<section
@@ -44,7 +94,7 @@ function QuickFiltersLayout({
 				data-testid="quick-filters-layout-content"
 			>
 				<OverlayScrollbar>
-					<div>{children}</div>
+					<div className={styles.contentInner}>{children}</div>
 				</OverlayScrollbar>
 			</section>
 		</div>

frontend/src/components/QuickFilters/QuickFiltersLayout/__tests__/QuickFiltersLayout.test.tsx

@@ -1,4 +1,6 @@
-import { render, screen } from 'tests/test-utils';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
+import { useSavedViewEnabled } from 'hooks/useSavedViewEnabled';
+import { render, screen, userEvent } from 'tests/test-utils';
 
 import { QuickFiltersSource } from '../../types';
 import QuickFiltersLayout from '../QuickFiltersLayout';
@@ -7,15 +9,33 @@ jest.mock('../QuickFiltersLayout.module.scss', () => ({
 	__esModule: true,
 	default: {
 		layout: 'layout',
-		filters: 'filters',
+		sidebar: 'sidebar',
+		isStatic: 'isStatic',
+		savedViews: 'savedViews',
+		quickFilters: 'quickFilters',
+		isOpen: 'isOpen',
 		content: 'content',
+		contentInner: 'contentInner',
 	},
 }));
 
+jest.mock('hooks/useSavedViewEnabled', () => ({
+	useSavedViewEnabled: jest.fn(() => true),
+}));
+
 jest.mock('../../QuickFilters', () => ({
 	__esModule: true,
-	default: ({ source }: { source: string }): JSX.Element => (
-		<div data-testid="quick-filters">{source}</div>
+	default: ({
+		source,
+		savedViewsHeader,
+	}: {
+		source: string;
+		savedViewsHeader?: React.ReactNode;
+	}): JSX.Element => (
+		<div data-testid="quick-filters">
+			{savedViewsHeader}
+			{source}
+		</div>
 	),
 }));
 
@@ -23,8 +43,16 @@ const quickFilterProps = {
 	source: QuickFiltersSource.TRACES_EXPLORER,
 	handleFilterVisibilityChange: jest.fn(),
 };
+const savedViewProps = { source: SavedviewtypesSourceDTO.traces };
+
+const drawer = (): HTMLElement =>
+	screen.getByTestId('quick-filters-layout-drawer');
 
 describe('QuickFiltersLayout', () => {
+	beforeEach(() => {
+		jest.mocked(useSavedViewEnabled).mockReturnValue(true);
+	});
+
 	it('renders QuickFilters with the given props inside the filters pane', () => {
 		render(
 			<QuickFiltersLayout showFilters quickFilterProps={quickFilterProps}>
@@ -40,11 +68,16 @@ describe('QuickFiltersLayout', () => {
 		expect(screen.getByTestId('quick-filters-layout-content')).toHaveTextContent(
 			'content',
 		);
+		expect(screen.queryByTestId('saved-views-header')).not.toBeInTheDocument();
 	});
 
 	it('does not render the filters pane when showFilters is false', () => {
 		render(
-			<QuickFiltersLayout showFilters={false} quickFilterProps={quickFilterProps}>
+			<QuickFiltersLayout
+				showFilters={false}
+				quickFilterProps={quickFilterProps}
+				savedViewProps={savedViewProps}
+			>
 				<div>content</div>
 			</QuickFiltersLayout>,
 		);
@@ -56,24 +89,138 @@ describe('QuickFiltersLayout', () => {
 		expect(screen.getByText('content')).toBeInTheDocument();
 	});
 
+	it('renders no sidebar at all without quick filters or saved views', () => {
+		render(
+			<QuickFiltersLayout showFilters>
+				<div>content</div>
+			</QuickFiltersLayout>,
+		);
+
+		expect(
+			screen.queryByTestId('quick-filters-layout-filters'),
+		).not.toBeInTheDocument();
+		expect(screen.getByText('content')).toBeInTheDocument();
+	});
+
 	it('merges classNames onto the root and content panes', () => {
 		render(
 			<QuickFiltersLayout
 				showFilters
 				quickFilterProps={quickFilterProps}
-				className="page-root"
-				contentClassName="page-content"
-				testId="page"
+				className="root-extra"
+				contentClassName="content-extra"
+				testId="layout"
 			>
 				<div>content</div>
 			</QuickFiltersLayout>,
 		);
 
-		const root = screen.getByTestId('page');
-		expect(root).toHaveClass('layout', 'page-root');
+		expect(screen.getByTestId('layout')).toHaveClass('layout', 'root-extra');
 		expect(screen.getByTestId('quick-filters-layout-content')).toHaveClass(
 			'content',
-			'page-content',
+			'content-extra',
 		);
 	});
+
+	describe('saved views', () => {
+		it('ignores savedViewProps while the flag is off', () => {
+			jest.mocked(useSavedViewEnabled).mockReturnValue(false);
+			const { unmount } = render(
+				<QuickFiltersLayout
+					showFilters
+					quickFilterProps={quickFilterProps}
+					savedViewProps={savedViewProps}
+				>
+					<div>content</div>
+				</QuickFiltersLayout>,
+			);
+
+			expect(screen.getByTestId('quick-filters')).toBeInTheDocument();
+			expect(screen.queryByTestId('saved-views-header')).not.toBeInTheDocument();
+			expect(screen.queryByTestId('saved-views-panel')).not.toBeInTheDocument();
+
+			// Saved views only, so nothing is left to show.
+			unmount();
+			render(
+				<QuickFiltersLayout showFilters savedViewProps={savedViewProps}>
+					<div>content</div>
+				</QuickFiltersLayout>,
+			);
+			expect(
+				screen.queryByTestId('quick-filters-layout-filters'),
+			).not.toBeInTheDocument();
+		});
+
+		it('opens the panel from the header and slides the quick filters drawer, keeping the same QuickFilters node', async () => {
+			render(
+				<QuickFiltersLayout
+					showFilters
+					quickFilterProps={quickFilterProps}
+					savedViewProps={savedViewProps}
+				>
+					<div>content</div>
+				</QuickFiltersLayout>,
+			);
+			const user = userEvent.setup();
+			const quickFilters = screen.getByTestId('quick-filters');
+
+			expect(quickFilters).toContainElement(
+				screen.getByTestId('saved-views-header'),
+			);
+			expect(drawer()).toContainElement(quickFilters);
+			expect(screen.queryByTestId('saved-views-panel')).not.toBeInTheDocument();
+			expect(drawer()).not.toHaveClass('isOpen');
+
+			await user.click(screen.getByTestId('saved-views-open'));
+
+			expect(screen.getByTestId('saved-views-panel')).toBeInTheDocument();
+			expect(drawer()).toHaveClass('isOpen');
+			expect(screen.getByTestId('quick-filters')).toBe(quickFilters);
+
+			await user.click(screen.getByTestId('saved-views-close'));
+
+			expect(screen.queryByTestId('saved-views-panel')).not.toBeInTheDocument();
+			expect(drawer()).not.toHaveClass('isOpen');
+			expect(screen.getByTestId('quick-filters')).toBe(quickFilters);
+		});
+
+		it('hands the source to the header and the panel', async () => {
+			render(
+				<QuickFiltersLayout
+					showFilters
+					quickFilterProps={quickFilterProps}
+					savedViewProps={savedViewProps}
+				>
+					<div>content</div>
+				</QuickFiltersLayout>,
+			);
+
+			expect(screen.getByTestId('saved-views-header')).toHaveAttribute(
+				'data-source',
+				SavedviewtypesSourceDTO.traces,
+			);
+			await userEvent.setup().click(screen.getByTestId('saved-views-open'));
+			expect(screen.getByTestId('saved-views-panel')).toHaveAttribute(
+				'data-source',
+				SavedviewtypesSourceDTO.traces,
+			);
+		});
+
+		it('without quick filters: static sidebar, header on top, list always on screen with no open or close controls', () => {
+			render(
+				<QuickFiltersLayout showFilters savedViewProps={savedViewProps}>
+					<div>content</div>
+				</QuickFiltersLayout>,
+			);
+
+			const sidebar = screen.getByTestId('quick-filters-layout-filters');
+			expect(sidebar).toHaveClass('isStatic');
+			expect(screen.queryByTestId('quick-filters')).not.toBeInTheDocument();
+			expect(screen.getByTestId('saved-views-header')).toBeInTheDocument();
+			expect(screen.getByTestId('saved-views-panel')).toBeInTheDocument();
+			expect(screen.queryByTestId('saved-views-open')).not.toBeInTheDocument();
+			expect(screen.queryByTestId('saved-views-close')).not.toBeInTheDocument();
+			expect(drawer()).not.toHaveClass('isOpen');
+		});
+	});
 });

frontend/src/components/QuickFilters/QuickFiltersSettings/QuickFiltersSettings.styles.scss

@@ -8,12 +8,20 @@
 	width: 342px;
 	height: 100%;
 	background: var(--l1-background);
-	transition: width 0.05s ease-in-out;
+	border-right: 1px solid var(--l1-border);
 	overflow: hidden;
 	color: var(--l1-foreground);
+	transition:
+		transform 0.2s ease-in-out,
+		visibility 0s;
 
 	&.hidden {
-		width: 0;
+		transform: translateX(-100%);
+		visibility: hidden;
+		pointer-events: none;
+		transition:
+			transform 0.2s ease-in-out,
+			visibility 0s 0.2s;
 	}
 	.qf-header {
 		display: flex;

frontend/src/components/QuickFilters/types.ts

@@ -1,3 +1,4 @@
+import { ReactNode } from 'react';
 import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { DataSource } from 'types/common/queryBuilder';
@@ -61,6 +62,7 @@ export interface IQuickFiltersProps {
 	showFilterCollapse?: boolean;
 	showQueryName?: boolean;
 	useFieldApis?: QuickFilterCheckboxUseFieldApis;
+	savedViewsHeader?: ReactNode;
 }
 
 export enum QuickFiltersSource {

frontend/src/container/MetricsExplorer/Explorer/Explorer.tsx

@@ -10,6 +10,8 @@ import WarningPopover from 'components/WarningPopover/WarningPopover';
 import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
 import { usePageActions } from 'container/AIAssistant/pageActions/usePageActions';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
+import QuickFiltersLayout from 'components/QuickFilters/QuickFiltersLayout/QuickFiltersLayout';
 import ExplorerOptionWrapper from 'container/ExplorerOptions/ExplorerOptionWrapper';
 import RightToolbarActions from 'container/QueryBuilder/components/ToolbarActions/RightToolbarActions';
 import DateTimeSelector from 'container/TopNav/DateTimeSelectionV2';
@@ -347,57 +349,62 @@ function Explorer(): JSX.Element {
 
 	return (
 		<Sentry.ErrorBoundary fallback={<ErrorBoundaryFallback />}>
-			<div className="metrics-explorer-explore-container">
-				<div className="explore-header">
-					<div className="explore-header-left-actions">
-						<span>1 chart/query</span>
-						<Tooltip
-							open={disableOneChartPerQuery ? undefined : false}
-							title={oneChartPerQueryDisabledTooltip}
-						>
-							<Switch
-								value={showOneChartPerQuery}
-								onChange={handleToggleShowOneChartPerQuery}
-								disabled={disableOneChartPerQuery || splitedQueries.length <= 1}
+			<QuickFiltersLayout
+				showFilters
+				savedViewProps={{ source: SavedviewtypesSourceDTO.metrics }}
+			>
+				<div className="metrics-explorer-explore-container">
+					<div className="explore-header">
+						<div className="explore-header-left-actions">
+							<span>1 chart/query</span>
+							<Tooltip
+								open={disableOneChartPerQuery ? undefined : false}
+								title={oneChartPerQueryDisabledTooltip}
+							>
+								<Switch
+									value={showOneChartPerQuery}
+									onChange={handleToggleShowOneChartPerQuery}
+									disabled={disableOneChartPerQuery || splitedQueries.length <= 1}
+								/>
+							</Tooltip>
+						</div>
+						<div className="explore-header-right-actions">
+							{!isEmpty(warning) && <WarningPopover warningData={warning} />}
+							<DateTimeSelector showAutoRefresh />
+							<RightToolbarActions
+								onStageRunQuery={(): void => handleRunQuery()}
+								isLoadingQueries={isLoadingQueries}
+								handleCancelQuery={handleCancelQuery}
 							/>
-						</Tooltip>
+						</div>
 					</div>
-					<div className="explore-header-right-actions">
-						{!isEmpty(warning) && <WarningPopover warningData={warning} />}
-						<DateTimeSelector showAutoRefresh />
-						<RightToolbarActions
-							onStageRunQuery={(): void => handleRunQuery()}
-							isLoadingQueries={isLoadingQueries}
-							handleCancelQuery={handleCancelQuery}
+					<QueryBuilderV2
+						config={{ initialDataSource: DataSource.METRICS, queryVariant: 'static' }}
+						panelType={PANEL_TYPES.TIME_SERIES}
+						showFunctions={false}
+						version="v3"
+					/>
+					<div className="explore-content">
+						<TimeSeries
+							onFetchingStateChange={setIsLoadingQueries}
+							showOneChartPerQuery={showOneChartPerQuery}
+							setWarning={setWarning}
+							areAllMetricUnitsSame={areAllMetricUnitsSame}
+							isMetricUnitsLoading={isMetricUnitsLoading}
+							isMetricUnitsError={isMetricUnitsError}
+							metricUnits={units}
+							metricNames={metricNames}
+							metrics={metrics}
+							handleOpenMetricDetails={handleOpenMetricDetails}
+							yAxisUnit={yAxisUnit}
+							setYAxisUnit={setYAxisUnit}
+							showYAxisUnitSelector={showYAxisUnitSelector}
+							isCancelled={isCancelled}
+							exportDefaultQuery={exportDefaultQuery}
 						/>
 					</div>
 				</div>
-				<QueryBuilderV2
-					config={{ initialDataSource: DataSource.METRICS, queryVariant: 'static' }}
-					panelType={PANEL_TYPES.TIME_SERIES}
-					showFunctions={false}
-					version="v3"
-				/>
-				<div className="explore-content">
-					<TimeSeries
-						onFetchingStateChange={setIsLoadingQueries}
-						showOneChartPerQuery={showOneChartPerQuery}
-						setWarning={setWarning}
-						areAllMetricUnitsSame={areAllMetricUnitsSame}
-						isMetricUnitsLoading={isMetricUnitsLoading}
-						isMetricUnitsError={isMetricUnitsError}
-						metricUnits={units}
-						metricNames={metricNames}
-						metrics={metrics}
-						handleOpenMetricDetails={handleOpenMetricDetails}
-						yAxisUnit={yAxisUnit}
-						setYAxisUnit={setYAxisUnit}
-						showYAxisUnitSelector={showYAxisUnitSelector}
-						isCancelled={isCancelled}
-						exportDefaultQuery={exportDefaultQuery}
-					/>
-				</div>
-			</div>
+			</QuickFiltersLayout>
 			<ExplorerOptionWrapper
 				disabled={!stagedQuery}
 				query={exportDefaultQuery}

frontend/src/container/SavedViews/SavedViewsHeader.module.scss

@@ -0,0 +1,19 @@
+.header {
+	display: flex;
+	align-items: center;
+	justify-content: space-between;
+	gap: var(--spacing-2);
+	padding: var(--spacing-2) var(--spacing-3);
+	border-bottom: 1px solid var(--l1-border);
+	color: var(--l1-foreground);
+	flex-shrink: 0;
+}
+
+.name {
+	min-width: 0;
+	overflow: hidden;
+	text-overflow: ellipsis;
+	white-space: nowrap;
+	font-size: var(--font-size-sm);
+	font-weight: var(--font-weight-medium);
+}

frontend/src/container/SavedViews/SavedViewsHeader.tsx

@@ -0,0 +1,43 @@
+import { Menu } from '@signozhq/icons';
+import { Button } from '@signozhq/ui/button';
+import { Typography } from '@signozhq/ui/typography';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
+
+import styles from './SavedViewsHeader.module.scss';
+
+// Temp Placeholder data till main functionality is plugged in
+const PLACEHOLDER_VIEW_NAME = 'My view';
+
+function SavedViewsHeader({
+	source,
+	onOpenViews,
+}: {
+	source: SavedviewtypesSourceDTO;
+	// Absent when the list is always on screen.
+	onOpenViews?: () => void;
+}): JSX.Element {
+	return (
+		<div
+			className={styles.header}
+			data-testid="saved-views-header"
+			data-source={source}
+		>
+			<Typography.Text className={styles.name}>
+				{PLACEHOLDER_VIEW_NAME}
+			</Typography.Text>
+			{onOpenViews && (
+				<Button
+					variant="ghost"
+					color="secondary"
+					size="icon"
+					aria-label="All views"
+					prefix={<Menu size={14} />}
+					onClick={onOpenViews}
+					data-testid="saved-views-open"
+				/>
+			)}
+		</div>
+	);
+}
+
+export default SavedViewsHeader;

frontend/src/container/SavedViews/SavedViewsPanel.module.scss

@@ -0,0 +1,21 @@
+.panel {
+	display: flex;
+	flex-direction: column;
+	flex: 1;
+	min-height: 0;
+	color: var(--l1-foreground);
+}
+
+.header {
+	display: flex;
+	align-items: center;
+	justify-content: space-between;
+	padding: var(--spacing-2) var(--spacing-3);
+	border-bottom: 1px solid var(--l1-border);
+	flex-shrink: 0;
+}
+
+.title {
+	font-size: var(--font-size-sm);
+	font-weight: var(--font-weight-medium);
+}

frontend/src/container/SavedViews/SavedViewsPanel.tsx

@@ -0,0 +1,40 @@
+import { X } from '@signozhq/icons';
+import { Button } from '@signozhq/ui/button';
+import { Typography } from '@signozhq/ui/typography';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
+
+import styles from './SavedViewsPanel.module.scss';
+
+function SavedViewsPanel({
+	source,
+	onClose,
+}: {
+	source: SavedviewtypesSourceDTO;
+	// Absent when the list is always on screen.
+	onClose?: () => void;
+}): JSX.Element {
+	return (
+		<div
+			className={styles.panel}
+			data-testid="saved-views-panel"
+			data-source={source}
+		>
+			<div className={styles.header}>
+				<Typography.Text className={styles.title}>All views</Typography.Text>
+				{onClose && (
+					<Button
+						variant="ghost"
+						color="secondary"
+						size="icon"
+						aria-label="Close"
+						prefix={<X size={14} />}
+						onClick={onClose}
+						data-testid="saved-views-close"
+					/>
+				)}
+			</div>
+		</div>
+	);
+}
+
+export default SavedViewsPanel;

frontend/src/pages/DashboardPage/PanelEditorPage/stories/PanelEditorPage.stories.tsx

@@ -2,6 +2,7 @@ import type { ComponentType } from 'react';
 import type { Meta, StoryObj } from '@storybook/react-vite';
 import { Route } from 'react-router-dom';
 import ROUTES from 'constants/routes';
+import { userEvent, within } from 'storybook/test';
 
 import { storyMocks } from '@/storybook/controls/defineStoryMocks';
 import type { PageStoryArgs } from '@/storybook/runtime/resolveStory';
@@ -22,6 +23,7 @@ const pageStory = storyMocks(panelEditorMocks, { layout: 'app' });
  */
 const meta = {
 	title: 'Pages/Dashboards/Panel Editor',
+	tags: ['play'],
 	// The page is wrapped in `withAuthZPage`, which types its props as an index
 	// signature; the story's args are what the controls resolve to.
 	component: PanelEditorPage as ComponentType<PanelEditorArgs>,
@@ -38,6 +40,25 @@ export default meta;
 
 type Story = StoryObj<PanelEditorArgs>;
 
+const expandConfigSections: Story['play'] = async ({ canvasElement }) => {
+	const canvas = within(canvasElement);
+
+	const headers = await canvas.findAllByTestId(
+		/^config-section-/,
+		{},
+		{ timeout: 10000 },
+	);
+	for (const header of headers) {
+		if (header.getAttribute('aria-expanded') === 'false') {
+			await userEvent.click(header);
+		}
+	}
+	(document.activeElement as HTMLElement | null)?.blur();
+	for (let el = headers[0].parentElement; el; el = el.parentElement) {
+		el.scrollTop = 0;
+	}
+};
+
 /**
  * Editing a saved time series panel: the live preview over the query builder on
  * the left, the panel's formatting, legend, axes and thresholds on the right.
@@ -86,3 +107,57 @@ export const ReadOnly: Story = {
 export const Tooltips: Story = {
 	args: { tooltipsOpen: true },
 };
+
+/** A new time series panel's config pane, every section expanded. */
+export const ConfigTimeSeries: Story = {
+	args: { panel: 'new', newPanelKind: 'time-series' },
+	play: expandConfigSections,
+};
+
+/** A new number panel's config pane, every section expanded. */
+export const ConfigNumber: Story = {
+	args: { panel: 'new', newPanelKind: 'number' },
+	play: expandConfigSections,
+};
+
+/** A new table panel's config pane, every section expanded. */
+export const ConfigTable: Story = {
+	args: { panel: 'new', newPanelKind: 'table' },
+	play: expandConfigSections,
+};
+
+/** A new bar chart panel's config pane, every section expanded. */
+export const ConfigBarChart: Story = {
+	args: { panel: 'new', newPanelKind: 'bar-chart' },
+	play: expandConfigSections,
+};
+
+/** A new area chart panel's config pane, every section expanded. */
+export const ConfigAreaChart: Story = {
+	args: { panel: 'new', newPanelKind: 'area-chart' },
+	play: expandConfigSections,
+};
+
+/** A new pie chart panel's config pane, every section expanded. */
+export const ConfigPieChart: Story = {
+	args: { panel: 'new', newPanelKind: 'pie-chart' },
+	play: expandConfigSections,
+};
+
+/** A new histogram panel's config pane, every section expanded. */
+export const ConfigHistogram: Story = {
+	args: { panel: 'new', newPanelKind: 'histogram' },
+	play: expandConfigSections,
+};
+
+/** A new list panel's config pane, every section expanded. */
+export const ConfigList: Story = {
+	args: { panel: 'new', newPanelKind: 'list' },
+	play: expandConfigSections,
+};
+
+/** A new text panel's config pane, every section expanded. */
+export const ConfigText: Story = {
+	args: { panel: 'new', newPanelKind: 'text' },
+	play: expandConfigSections,
+};

frontend/src/pages/DashboardPage/PanelEditorPage/stories/__story_mockdata__/panelEditor.ts

@@ -21,12 +21,14 @@ import type { PanelKind } from '../../../DashboardContainer/Panels/types/panelKi
  */
 export const NEW_PANEL_KINDS = [
 	'time-series',
-	'bar-chart',
 	'number',
-	'pie-chart',
 	'table',
+	'bar-chart',
+	'area-chart',
+	'pie-chart',
 	'histogram',
 	'list',
+	'text',
 ] as const;
 
 export type NewPanelKind = (typeof NEW_PANEL_KINDS)[number];
@@ -34,11 +36,13 @@ export type NewPanelKind = (typeof NEW_PANEL_KINDS)[number];
 const KIND_BY_OPTION: Record<NewPanelKind, PanelKind> = {
 	'time-series': 'signoz/TimeSeriesPanel',
 	'bar-chart': 'signoz/BarChartPanel',
+	'area-chart': 'signoz/AreaChartPanel',
 	number: 'signoz/NumberPanel',
 	'pie-chart': 'signoz/PieChartPanel',
 	table: 'signoz/TablePanel',
 	histogram: 'signoz/HistogramPanel',
 	list: 'signoz/ListPanel',
+	text: 'signoz/TextPanel',
 };
 
 export const newPanelKindOf = (option: NewPanelKind): PanelKind =>

frontend/src/pages/DashboardPage/stories/DashboardPage.stories.tsx

@@ -285,6 +285,70 @@ export const SectionActionsMenu: Story = {
 	},
 };
 
+/**
+ * The new-panel picker opened from the toolbar: the panel kinds as tiles, with
+ * the target section to place the panel in.
+ */
+export const NewPanelPicker: Story = {
+	play: async ({ canvasElement }) => {
+		const canvas = within(canvasElement);
+
+		await userEvent.click(
+			await canvas.findByTestId('add-panel-header', {}, { timeout: 10000 }),
+		);
+		await screen.findByTestId('panel-type-signoz/TimeSeriesPanel');
+	},
+};
+
+/** The new-panel picker with a kind picked, waiting on the section to confirm. */
+export const NewPanelPickerTypeSelected: Story = {
+	play: async ({ canvasElement }) => {
+		const canvas = within(canvasElement);
+
+		await userEvent.click(
+			await canvas.findByTestId('add-panel-header', {}, { timeout: 10000 }),
+		);
+		await userEvent.click(
+			await screen.findByTestId('panel-type-signoz/TimeSeriesPanel'),
+		);
+	},
+};
+
+/**
+ * The new-panel picker on a dashboard without sections, where there is no
+ * section to choose.
+ */
+export const NewPanelPickerNoSections: Story = {
+	args: { sectioned: false },
+	play: async ({ canvasElement }) => {
+		const canvas = within(canvasElement);
+
+		await userEvent.click(
+			await canvas.findByTestId('add-panel-header', {}, { timeout: 10000 }),
+		);
+		await screen.findByTestId('panel-type-signoz/TimeSeriesPanel');
+	},
+};
+
+/**
+ * The new-panel picker opened from the second section's menu, targeting that
+ * section.
+ */
+export const NewPanelPickerFromSection: Story = {
+	play: async ({ canvasElement }) => {
+		const canvas = within(canvasElement);
+
+		const [, secondSection] = await canvas.findAllByRole(
+			'button',
+			{ name: 'Section actions' },
+			{ timeout: 10000 },
+		);
+		await userEvent.click(secondSection);
+		await userEvent.click(await screen.findByText('Add panel'));
+		await screen.findByTestId('panel-type-signoz/TimeSeriesPanel');
+	},
+};
+
 /**
  * A dashboard id nobody has, which is what a deleted or mistyped link opens on.
  *

frontend/src/pages/LogsExplorer/LogsExplorer.styles.scss

@@ -4,15 +4,10 @@
 	min-height: 0;
 	overflow: hidden;
 
-	.log-quick-filter-left-section {
-		width: 0%;
-		flex-shrink: 0;
-	}
-
 	.log-module-right-section {
 		display: flex;
 		flex-direction: column;
-		width: 100%;
+		height: 100%;
 		min-height: 0;
 
 		.log-explorer-query-container {
@@ -39,26 +34,4 @@
 			}
 		}
 	}
-
-	&.filter-visible {
-		.log-quick-filter-left-section {
-			width: 260px;
-			height: 100%;
-			overflow: visible;
-			min-height: 0;
-			position: relative;
-			z-index: 2;
-			display: flex;
-			flex-direction: column;
-
-			.quick-filters-container {
-				flex: 1;
-				min-height: 0;
-			}
-		}
-
-		.log-module-right-section {
-			width: calc(100% - 260px);
-		}
-	}
 }

frontend/src/pages/LogsExplorer/index.tsx

@@ -3,10 +3,10 @@ import { useQueryClient } from 'react-query';
 import * as Sentry from '@sentry/react';
 import getLocalStorageKey from 'api/browser/localstorage/get';
 import setLocalStorageApi from 'api/browser/localstorage/set';
-import cx from 'classnames';
 import ExplorerCard from 'components/ExplorerCard/ExplorerCard';
 import QueryCancelledPlaceholder from 'components/QueryCancelledPlaceholder';
-import QuickFilters from 'components/QuickFilters/QuickFilters';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
+import QuickFiltersLayout from 'components/QuickFilters/QuickFiltersLayout/QuickFiltersLayout';
 import { useSignalFieldApis } from 'components/QuickFilters/hooks/useSignalFieldApis';
 import { QuickFiltersSource, SignalType } from 'components/QuickFilters/types';
 import WarningPopover from 'components/WarningPopover/WarningPopover';
@@ -225,21 +225,19 @@ function LogsExplorer(): JSX.Element {
 	return (
 		<Sentry.ErrorBoundary fallback={<ErrorBoundaryFallback />}>
 			<EventSourceProvider>
-				<div
-					className={cx('logs-module-page', showFilters ? 'filter-visible' : '')}
+				<QuickFiltersLayout
+					className="logs-module-page"
+					showFilters={showFilters}
+					savedViewProps={{ source: SavedviewtypesSourceDTO.logs }}
+					quickFilterProps={{
+						className: 'qf-logs-explorer',
+						signal: SignalType.LOGS,
+						source: QuickFiltersSource.LOGS_EXPLORER,
+						handleFilterVisibilityChange,
+						useFieldApis: quickFilterFieldApis,
+					}}
 				>
-					{showFilters && (
-						<section className={cx('log-quick-filter-left-section')}>
-							<QuickFilters
-								className="qf-logs-explorer"
-								signal={SignalType.LOGS}
-								source={QuickFiltersSource.LOGS_EXPLORER}
-								handleFilterVisibilityChange={handleFilterVisibilityChange}
-								useFieldApis={quickFilterFieldApis}
-							/>
-						</section>
-					)}
-					<section className={cx('log-module-right-section')}>
+					<section className="log-module-right-section">
 						<Toolbar
 							showAutoRefresh={false}
 							leftActions={
@@ -292,7 +290,7 @@ function LogsExplorer(): JSX.Element {
 							</div>
 						</div>
 					</section>
-				</div>
+				</QuickFiltersLayout>
 			</EventSourceProvider>
 		</Sentry.ErrorBoundary>
 	);

frontend/src/pages/TracesExplorer/index.tsx

@@ -5,6 +5,7 @@ import * as Sentry from '@sentry/react';
 import logEvent from 'api/common/logEvent';
 import ExplorerCard from 'components/ExplorerCard/ExplorerCard';
 import QueryCancelledPlaceholder from 'components/QueryCancelledPlaceholder';
+import { SavedviewtypesSourceDTO } from 'api/generated/services/sigNoz.schemas';
 import QuickFiltersLayout from 'components/QuickFilters/QuickFiltersLayout/QuickFiltersLayout';
 import { useSignalFieldApis } from 'components/QuickFilters/hooks/useSignalFieldApis';
 import { QuickFiltersSource, SignalType } from 'components/QuickFilters/types';
@@ -285,6 +286,7 @@ function TracesExplorer(): JSX.Element {
 			<QuickFiltersLayout
 				className="trace-explorer-page"
 				showFilters={isOpen}
+				savedViewProps={{ source: SavedviewtypesSourceDTO.traces }}
 				quickFilterProps={{
 					className: 'qf-traces-explorer',
 					source: QuickFiltersSource.TRACES_EXPLORER,

pkg/apiserver/signozapiserver/tracedetail.go

@@ -10,6 +10,23 @@ import (
 )
 
 func (provider *provider) addTraceDetailRoutes(router *mux.Router) error {
+	if err := router.Handle("/api/v1/traces/{traceID}/summary", handler.New(
+		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetTraceSummary),
+		handler.OpenAPIDef{
+			ID:                  "GetTraceSummary",
+			Tags:                []string{"tracedetail"},
+			Summary:             "Get summary for a trace",
+			Description:         "Returns the trace's time range, root span, span and error counts, and whether any spans are missing. AI traces also include token and cost totals.",
+			Response:            new(spantypes.GettableTraceSummary),
+			ResponseContentType: "application/json",
+			SuccessStatusCode:   http.StatusOK,
+			ErrorStatusCodes:    []int{http.StatusNotFound},
+			SecuritySchemes:     newSecuritySchemes(types.RoleViewer),
+		},
+	)).Methods(http.MethodGet).GetError(); err != nil {
+		return err
+	}
+
 	if err := router.Handle("/api/v4/traces/{traceID}/waterfall", handler.New(
 		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetWaterfallV4),
 		handler.OpenAPIDef{
@@ -67,5 +84,23 @@ 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.GetTraceThreadParams),
+			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

@@ -6,7 +6,9 @@ import (
 	"github.com/SigNoz/signoz/pkg/http/binding"
 	"github.com/SigNoz/signoz/pkg/http/render"
 	"github.com/SigNoz/signoz/pkg/modules/tracedetail"
+	"github.com/SigNoz/signoz/pkg/types/authtypes"
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 	"github.com/gorilla/mux"
 )
 
@@ -18,6 +20,22 @@ func NewHandler(module tracedetail.Module) tracedetail.Handler {
 	return &handler{module: module}
 }
 
+func (h *handler) GetTraceSummary(rw http.ResponseWriter, r *http.Request) {
+	claims, err := authtypes.ClaimsFromContext(r.Context())
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	stats, err := h.module.GetTraceSummary(r.Context(), valuer.MustNewUUID(claims.OrgID), mux.Vars(r)["traceID"])
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	render.Success(rw, http.StatusOK, spantypes.NewGettableTraceSummary(stats))
+}
+
 func (h *handler) GetWaterfallV4(rw http.ResponseWriter, r *http.Request) {
 	req := new(spantypes.PostableWaterfall)
 	if err := binding.JSON.BindBody(r.Body, req); err != nil {
@@ -75,3 +93,31 @@ 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) {
+	claims, err := authtypes.ClaimsFromContext(r.Context())
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	req := new(spantypes.GetTraceThreadParams)
+	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(), valuer.MustNewUUID(claims.OrgID), 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

@@ -8,6 +8,7 @@ import (
 	"github.com/SigNoz/signoz/pkg/modules/tracedetail"
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 	"go.opentelemetry.io/otel/metric"
 )
 
@@ -39,26 +40,41 @@ func NewModule(traceStore spantypes.TraceStore, providerSettings factory.Provide
 	return m
 }
 
+func (m *module) GetTraceSummary(ctx context.Context, orgID valuer.UUID, traceID string) (*spantypes.TraceStats, error) {
+	bounds, err := m.store.GetTraceBounds(ctx, traceID)
+	if err != nil {
+		return nil, err
+	}
+	stats, err := m.store.GetTraceStats(ctx, orgID, traceID, bounds)
+	if err != nil {
+		return nil, err
+	}
+	if stats.TotalSpans == 0 {
+		return nil, spantypes.ErrTraceNotFound
+	}
+	return stats, nil
+}
+
 // GetWaterfallV4 is the OOM-safe V4 waterfall.
 // For large traces (NumSpans > effectiveLimit) it uses a two-step fetch:
 // minimal fields for all spans to build the tree, then full fields for the
 // visible window only. Aggregations are not returned.
 func (m *module) GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error) {
-	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	bounds, err := m.store.GetTraceBounds(ctx, traceID)
 	if err != nil {
 		return nil, err
 	}
-	if summary.NumSpans > uint64(m.config.Waterfall.MaxLimitToSelectAllSpans) {
+	if bounds.NumSpans > uint64(m.config.Waterfall.MaxLimitToSelectAllSpans) {
 		attrs := metric.WithAttributes(attrResponseType.String(attrResponseTypeWindowed))
 		m.metrics.waterfallRequestCount.Add(ctx, 1, attrs)
-		m.metrics.waterfallSpanCount.Add(ctx, int64(summary.NumSpans), attrs)
-		return m.getWindowedWaterfall(ctx, traceID, selectedSpanID, uncollapsedSpans, summary.Start, summary.End)
+		m.metrics.waterfallSpanCount.Add(ctx, int64(bounds.NumSpans), attrs)
+		return m.getWindowedWaterfall(ctx, traceID, selectedSpanID, uncollapsedSpans, bounds.Start, bounds.End)
 	}
-	return m.getFullWaterfall(ctx, traceID, summary)
+	return m.getFullWaterfall(ctx, traceID, bounds)
 }
 
-func (m *module) getFullWaterfall(ctx context.Context, traceID string, summary *spantypes.TraceSummary) (*spantypes.GettableWaterfallTrace, error) {
-	spanItems, err := m.store.GetTraceSpans(ctx, traceID, summary)
+func (m *module) getFullWaterfall(ctx context.Context, traceID string, bounds *spantypes.TraceBounds) (*spantypes.GettableWaterfallTrace, error) {
+	spanItems, err := m.store.GetTraceSpans(ctx, traceID, bounds)
 	if err != nil {
 		return nil, err
 	}
@@ -78,24 +94,24 @@ func (m *module) getFullWaterfall(ctx context.Context, traceID string, summary *
 }
 
 func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error) {
-	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	bounds, err := m.store.GetTraceBounds(ctx, traceID)
 	if err != nil {
 		return nil, err
 	}
 
-	traceDurationNs := uint64(summary.End.UnixNano()) - uint64(summary.Start.UnixNano())
+	traceDurationNs := uint64(bounds.End.UnixNano()) - uint64(bounds.Start.UnixNano())
 
 	results := make([]spantypes.SpanAggregationResult, 0, len(req.Aggregations))
 	for _, agg := range req.Aggregations {
 		result := spantypes.SpanAggregationResult{Field: agg.Field, Aggregation: agg.Aggregation}
 		switch agg.Aggregation {
 		case spantypes.SpanAggregationSpanCount:
-			result.Value, err = m.store.GetSpanCountByField(ctx, traceID, summary, agg.Field)
+			result.Value, err = m.store.GetSpanCountByField(ctx, traceID, bounds, agg.Field)
 			if err != nil {
 				return nil, err
 			}
 		case spantypes.SpanAggregationDuration:
-			durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, summary, agg.Field)
+			durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, bounds, agg.Field)
 			if err2 != nil {
 				return nil, err2
 			}
@@ -104,7 +120,7 @@ func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *
 				result.Value[k] = ns / 1_000_000
 			}
 		case spantypes.SpanAggregationExecutionTimePercentage:
-			durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, summary, agg.Field)
+			durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, bounds, agg.Field)
 			if err2 != nil {
 				return nil, err2
 			}
@@ -121,15 +137,15 @@ func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *
 }
 
 func (m *module) GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
-	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	bounds, err := m.store.GetTraceBounds(ctx, traceID)
 	if err != nil {
 		return nil, err
 	}
-	if summary.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
-		return m.getFullFlamegraph(ctx, traceID, summary, selectFields)
+	if bounds.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
+		return m.getFullFlamegraph(ctx, traceID, bounds, selectFields)
 	}
 	m.metrics.flamegraphRequestCount.Add(ctx, 1, metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
-	return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, summary, selectFields)
+	return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, bounds, selectFields)
 }
 
 // getWindowedWaterfall builds the waterfall tree with minimal data and then returns only a window of full spans.
@@ -173,8 +189,51 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
 	), 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)
+func (m *module) GetThread(ctx context.Context, orgID valuer.UUID, traceID string, query *spantypes.ThreadQuery) (*spantypes.GettableTraceThread, error) {
+	bounds, err := m.store.GetTraceBounds(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, bounds, query.SpanID)
+		if err != nil {
+			return nil, err
+		}
+		before, err := m.store.GetThreadSpans(ctx, orgID, traceID, bounds, 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, orgID, traceID, bounds, 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, orgID, traceID, bounds, 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, orgID, traceID, bounds, page)
+		if err != nil {
+			return nil, err
+		}
+		return spantypes.NewGettableTraceThread(traceID, query, nil, after), nil
+	}
+}
+
+func (m *module) getFullFlamegraph(ctx context.Context, traceID string, bounds *spantypes.TraceBounds, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
+	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, bounds.Start, bounds.End, nil)
 	if err != nil {
 		return nil, err
 	}
@@ -187,8 +246,8 @@ func (m *module) getFullFlamegraph(ctx context.Context, traceID string, summary
 }
 
 // getWindowedFlamegraph returns a window of a max levels and max sampled spans per level around the selected span.
-func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpanID string, summary *spantypes.TraceSummary, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
-	minimalSpans, err := m.store.GetMinimalSpans(ctx, traceID, summary.Start, summary.End)
+func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpanID string, bounds *spantypes.TraceBounds, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
+	minimalSpans, err := m.store.GetMinimalSpans(ctx, traceID, bounds.Start, bounds.End)
 	if err != nil {
 		return nil, err
 	}
@@ -207,7 +266,7 @@ func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpa
 		return nil, spantypes.ErrTraceNotFound
 	}
 
-	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, spantypes.FlamegraphWindowSpanIDs(selectedSpans))
+	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, bounds.Start, bounds.End, spantypes.FlamegraphWindowSpanIDs(selectedSpans))
 	if err != nil {
 		return nil, err
 	}

pkg/modules/tracedetail/impltracedetail/store.go

@@ -4,15 +4,22 @@ import (
 	"context"
 	"database/sql"
 	"fmt"
+	"slices"
 	"time"
 
 	sqlbuilder "github.com/huandu/go-sqlbuilder"
 
 	"github.com/SigNoz/signoz/pkg/clickhousesql"
 	"github.com/SigNoz/signoz/pkg/errors"
+	"github.com/SigNoz/signoz/pkg/flagger"
+	"github.com/SigNoz/signoz/pkg/querybuilder"
+	"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
 	"github.com/SigNoz/signoz/pkg/telemetrystore"
+	"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
+	qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 )
 
 const colServiceName = `resource_string_service$$$$name` // $ gets escaped so $$$$ converts to $$.
@@ -38,13 +45,21 @@ type spanDurationRow struct {
 
 type traceStore struct {
 	telemetryStore telemetrystore.TelemetryStore
+	metadataStore  telemetrytypes.MetadataStore
+	storage        qbtypes.Storage
+	flagger        flagger.Flagger
 }
 
-func NewTraceStore(ts telemetrystore.TelemetryStore) *traceStore {
-	return &traceStore{telemetryStore: ts}
+func NewTraceStore(ts telemetrystore.TelemetryStore, metadataStore telemetrytypes.MetadataStore, fl flagger.Flagger) *traceStore {
+	return &traceStore{
+		telemetryStore: ts,
+		metadataStore:  metadataStore,
+		storage:        tracestelemetryschema.NewStorage(),
+		flagger:        fl,
+	}
 }
 
-func (s *traceStore) GetTraceSummary(ctx context.Context, traceID string) (*spantypes.TraceSummary, error) {
+func (s *traceStore) GetTraceBounds(ctx context.Context, traceID string) (*spantypes.TraceBounds, error) {
 	sb := sqlbuilder.NewSelectBuilder()
 	sb.Select("trace_id", "min(start) AS start", "max(end) AS end", "sum(num_spans) AS num_spans")
 	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceSummaryTable))
@@ -52,20 +67,135 @@ func (s *traceStore) GetTraceSummary(ctx context.Context, traceID string) (*span
 	sb.GroupBy("trace_id")
 	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
 
-	var summary spantypes.TraceSummary
+	var bounds spantypes.TraceBounds
 	err := s.telemetryStore.ClickhouseDB().QueryRow(ctx, query, args...).Scan(
-		&summary.TraceID, &summary.Start, &summary.End, &summary.NumSpans,
+		&bounds.TraceID, &bounds.Start, &bounds.End, &bounds.NumSpans,
 	)
 	if err != nil {
 		if errors.Is(err, sql.ErrNoRows) {
 			return nil, spantypes.ErrTraceNotFound
 		}
-		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace summary")
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace bounds")
 	}
-	return &summary, nil
+	return &bounds, nil
 }
 
-func (s *traceStore) GetTraceSpans(ctx context.Context, traceID string, summary *spantypes.TraceSummary) ([]spantypes.StorableSpan, error) {
+func (s *traceStore) GetTraceStats(ctx context.Context, orgID valuer.UUID, traceID string, bounds *spantypes.TraceBounds) (*spantypes.TraceStats, error) {
+	table := fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable)
+	spans := sqlbuilder.NewSelectBuilder()
+
+	genAIColumns, err := s.genAISpanColumns(ctx, orgID, bounds, spans)
+	if err != nil {
+		return nil, err
+	}
+
+	// Spans whose parent is absent from the trace; these also count as roots and surface as "Missing Span".
+	ids := sqlbuilder.NewSelectBuilder()
+	ids.Select("span_id")
+	ids.From(table)
+	ids.Where(
+		ids.E("trace_id", traceID),
+		ids.GE("ts_bucket_start", bounds.Start.Unix()-1800),
+		ids.LE("ts_bucket_start", bounds.End.Unix()),
+	)
+	missingParent := fmt.Sprintf("parent_span_id <> '' AND parent_span_id GLOBAL NOT IN (%s)", spans.Var(ids))
+
+	spans.Select(
+		"toUnixTimestamp64Nano(timestamp) AS span_start_ns",
+		"span_start_ns + duration_nano AS span_end_ns",
+		"span_id",
+		"has_error",
+		"("+missingParent+") AS has_missing_parent",
+		"(parent_span_id = '' OR has_missing_parent) AS is_root",
+		"if(parent_span_id = '', name, 'Missing Span') AS root_name",
+		"if(parent_span_id = '', "+colServiceName+", '') AS root_service",
+		"if(parent_span_id = '', response_status_code, '') AS root_status_code",
+	)
+
+	spans.SelectMore(genAIColumns...)
+	spans.From(table)
+	spans.Where(
+		spans.E("trace_id", traceID),
+		spans.GE("ts_bucket_start", bounds.Start.Unix()-1800),
+		spans.LE("ts_bucket_start", bounds.End.Unix()),
+	)
+	// A span can be ingested more than once; keep one row per span_id.
+	spans.SQL("LIMIT 1 BY span_id")
+
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select(
+		"toUInt64(min(span_start_ns)) AS start_ns",
+		"toUInt64(max(span_end_ns)) AS end_ns",
+		"count() AS total_spans",
+		"countIf(has_error) AS total_error_spans",
+		"countIf(has_missing_parent) > 0 AS has_missing_spans",
+		"argMinIf(root_service, (span_start_ns, root_name), is_root) AS root_service_name",
+		"argMinIf(root_name, (span_start_ns, root_name), is_root) AS root_entry_point",
+		"argMinIf(root_status_code, (span_start_ns, root_name), is_root) AS root_span_status_code",
+		"countIf(is_gen_ai) AS gen_ai_span_count",
+		"toUInt64(coalesce(sum(input_tokens_value), 0)) AS input_tokens",
+		"toUInt64(coalesce(sum(output_tokens_value), 0)) AS output_tokens",
+		"toUInt64(coalesce(sum(cache_read_tokens_value), 0)) AS cache_read_tokens",
+		"toUInt64(coalesce(sum(cache_write_tokens_value), 0)) AS cache_write_tokens",
+		"toUInt64(coalesce(sum(reasoning_tokens_value), 0)) AS reasoning_tokens",
+		"sum(total_cost_value) AS total_cost",
+	)
+	sb.From(sb.BuilderAs(spans, "spans"))
+	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+
+	var stats spantypes.TraceStats
+	err = s.telemetryStore.ClickhouseDB().QueryRow(ctx, query, args...).Scan(
+		&stats.StartNs, &stats.EndNs, &stats.TotalSpans, &stats.TotalErrorSpans, &stats.HasMissingSpans,
+		&stats.RootServiceName, &stats.RootEntryPoint, &stats.RootSpanStatusCode, &stats.GenAISpanCount,
+		&stats.Tokens.Input, &stats.Tokens.Output, &stats.Tokens.CacheRead, &stats.Tokens.CacheWrite, &stats.Tokens.Reasoning,
+		&stats.TotalCost,
+	)
+	if err != nil {
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace stats")
+	}
+	return &stats, nil
+}
+
+// genAISpanColumns returns the gen_ai columns aggregated per span, resolved across attribute evolutions.
+func (s *traceStore) genAISpanColumns(ctx context.Context, orgID valuer.UUID, bounds *spantypes.TraceBounds, sb *sqlbuilder.SelectBuilder) ([]string, error) {
+	values := []struct{ key, alias string }{
+		{aiobservabilitytypes.GenAIUsageInputTokens, "input_tokens_value"},
+		{aiobservabilitytypes.GenAIUsageOutputTokens, "output_tokens_value"},
+		{aiobservabilitytypes.GenAIUsageCacheReadInputTokens, "cache_read_tokens_value"},
+		{aiobservabilitytypes.GenAIUsageCacheCreationInputTokens, "cache_write_tokens_value"},
+		{aiobservabilitytypes.GenAIUsageReasoningOutputTokens, "reasoning_tokens_value"},
+		{aiobservabilitytypes.SignozGenAITotalCost, "total_cost_value"},
+	}
+
+	names := slices.Clone(aiobservabilitytypes.GenAISpanGateKeys)
+	for _, value := range values {
+		names = append(names, value.key)
+	}
+	keys, err := s.genAIFieldKeys(ctx, orgID, names)
+	if err != nil {
+		return nil, err
+	}
+
+	q := querybuilder.NewQueryInfo(ctx, orgID, s.flagger, telemetrytypes.SignalTraces, nil, uint64(bounds.Start.UnixNano()), uint64(bounds.End.UnixNano()))
+	isGenAI, err := s.anyExistsCondition(ctx, q, aiobservabilitytypes.GenAISpanGateKeys, keys, sb)
+	if err != nil {
+		return nil, err
+	}
+	columns := []string{isGenAI + " AS is_gen_ai"}
+
+	for _, value := range values {
+		// lookup by number, the type metadata stores numeric attributes under; float64 is only the output cast
+		expr, err := querybuilder.ResolveColumn(ctx, q, s.storage, attributeKey(value.key, telemetrytypes.FieldDataTypeNumber), telemetrytypes.FieldDataTypeFloat64, keys)
+		if err != nil {
+			return nil, err
+		}
+		// a materialized column name carries `$$`, which Build would otherwise unescape
+		columns = append(columns, sqlbuilder.Escape(expr)+" AS "+value.alias)
+	}
+	return columns, nil
+}
+
+func (s *traceStore) GetTraceSpans(ctx context.Context, traceID string, bounds *spantypes.TraceBounds) ([]spantypes.StorableSpan, error) {
 	// DISTINCT ON (span_id) is ClickHouse-specific syntax not supported by sqlbuilder
 	query := fmt.Sprintf(`
 		SELECT DISTINCT ON (span_id)
@@ -85,8 +215,8 @@ func (s *traceStore) GetTraceSpans(ctx context.Context, traceID string, summary
 	err := s.telemetryStore.ClickhouseDB().Select(
 		ctx, &spanItems, query,
 		traceID,
-		summary.Start.Unix()-1800,
-		summary.End.Unix(),
+		bounds.Start.Unix()-1800,
+		bounds.End.Unix(),
 	)
 	if err != nil {
 		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace spans")
@@ -124,8 +254,7 @@ func (s *traceStore) GetTraceSpansByIDs(ctx context.Context, traceID string, sta
 	}
 	sb := sqlbuilder.NewSelectBuilder()
 	sb.Select(
-		"DISTINCT ON (span_id) timestamp",
-		"duration_nano", "span_id", "has_error", "kind",
+		"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",
@@ -155,6 +284,92 @@ func (s *traceStore) GetTraceSpansByIDs(ctx context.Context, traceID string, sta
 	return spans, nil
 }
 
+func (s *traceStore) GetThreadSpans(ctx context.Context, orgID valuer.UUID, traceID string, bounds *spantypes.TraceBounds, page spantypes.ThreadPage) ([]spantypes.StorableSpan, error) {
+	q := querybuilder.NewQueryInfo(ctx, orgID, s.flagger, telemetrytypes.SignalTraces, nil, uint64(bounds.Start.UnixNano()), uint64(bounds.End.UnixNano()))
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select(
+		"DISTINCT ON (span_id) timestamp", "duration_nano", "span_id", "parent_span_id", "has_error", "name", "kind_string",
+		"status_code_string", "status_message", "resources_string",
+		"attributes_string", "attributes_number", "attributes_bool",
+		"events", "links as references",
+	)
+	if q.TraceAttrsJSONOn {
+		sb.SelectMore("attributes")
+	}
+	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
+	messageKeys := []string{aiobservabilitytypes.GenAIInputMessages, aiobservabilitytypes.GenAIOutputMessages}
+	keys, err := s.genAIFieldKeys(ctx, orgID, messageKeys)
+	if err != nil {
+		return nil, err
+	}
+	hasMessages, err := s.anyExistsCondition(ctx, q, messageKeys, keys, sb)
+	if err != nil {
+		return nil, err
+	}
+	sb.Where(
+		sb.E("trace_id", traceID),
+		sb.GE("ts_bucket_start", bounds.Start.Unix()-1800),
+		sb.LE("ts_bucket_start", bounds.End.Unix()),
+		hasMessages,
+	)
+	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, bounds *spantypes.TraceBounds, 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", bounds.Start.Unix()-1800),
+		sb.LE("ts_bucket_start", bounds.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(
@@ -196,7 +411,7 @@ func (s *traceStore) GetFlamegraphSpans(ctx context.Context, traceID string, sta
 	return spans, nil
 }
 
-func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, summary *spantypes.TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
+func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, bounds *spantypes.TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
 	fieldExpr, err := buildFieldExpr(fieldKey)
 	if err != nil {
 		return nil, err
@@ -206,8 +421,8 @@ func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, su
 	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.GE("ts_bucket_start", bounds.Start.Unix()-1800),
+		sb.LE("ts_bucket_start", bounds.End.Unix()),
 		"notEmpty("+fieldExpr+")",
 	)
 	sb.GroupBy("field_value")
@@ -224,7 +439,7 @@ func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, su
 	return result, nil
 }
 
-func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string, summary *spantypes.TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
+func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string, bounds *spantypes.TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
 	fieldExpr, err := buildFieldExpr(fieldKey)
 	if err != nil {
 		return nil, err
@@ -240,8 +455,8 @@ func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string,
 	allSpansSB.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
 	allSpansSB.Where(
 		allSpansSB.E("trace_id", traceID),
-		allSpansSB.GE("ts_bucket_start", summary.Start.Unix()-1800),
-		allSpansSB.LE("ts_bucket_start", summary.End.Unix()),
+		allSpansSB.GE("ts_bucket_start", bounds.Start.Unix()-1800),
+		allSpansSB.LE("ts_bucket_start", bounds.End.Unix()),
 		"notEmpty(field_value)",
 	)
 	allSpansSB.OrderByAsc("timestamp")
@@ -277,3 +492,34 @@ func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string,
 	}
 	return result, nil
 }
+
+func attributeKey(name string, dataType telemetrytypes.FieldDataType) *telemetrytypes.TelemetryFieldKey {
+	return &telemetrytypes.TelemetryFieldKey{Name: name, Signal: telemetrytypes.SignalTraces, FieldContext: telemetrytypes.FieldContextAttribute, FieldDataType: dataType}
+}
+
+// genAIFieldKeys fetches the metadata keys for the attribute names, expanded across semconv families.
+func (s *traceStore) genAIFieldKeys(ctx context.Context, orgID valuer.UUID, names []string) (map[string][]*telemetrytypes.TelemetryFieldKey, error) {
+	selectors := make([]*telemetrytypes.FieldKeySelector, 0, len(names))
+	for _, name := range names {
+		selectors = append(selectors, &telemetrytypes.FieldKeySelector{Name: name, Signal: telemetrytypes.SignalTraces, FieldContext: telemetrytypes.FieldContextAttribute, SelectorMatchType: telemetrytypes.FieldSelectorMatchTypeExact})
+	}
+	keys, _, err := s.metadataStore.GetKeysMulti(ctx, orgID, querybuilder.ExpandKeySelectorsForFamilies(ctx, orgID, s.flagger, selectors))
+	if err != nil {
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error fetching gen_ai field keys")
+	}
+	return keys, nil
+}
+
+// anyExistsCondition ORs an EXISTS test per attribute name, resolved across attribute evolutions
+// and the use_trace_attributes_json flag so the filter reads the same columns the query builder does.
+func (s *traceStore) anyExistsCondition(ctx context.Context, q qbtypes.QueryInfo, names []string, keys map[string][]*telemetrytypes.TelemetryFieldKey, sb *sqlbuilder.SelectBuilder) (string, error) {
+	conds := make([]string, 0, len(names))
+	for _, name := range names {
+		keyConds, _, err := querybuilder.Conditions(ctx, q, s.storage, attributeKey(name, telemetrytypes.FieldDataTypeString), qbtypes.FilterOperatorExists, nil, keys, false, sb)
+		if err != nil {
+			return "", err
+		}
+		conds = append(conds, keyConds...)
+	}
+	return sb.Or(conds...), nil
+}

pkg/modules/tracedetail/tracedetail.go

@@ -6,18 +6,23 @@ import (
 
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 )
 
 // Handler exposes HTTP handlers for trace detail APIs.
 type Handler interface {
+	GetTraceSummary(http.ResponseWriter, *http.Request)
 	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.
 type Module interface {
+	GetTraceSummary(ctx context.Context, orgID valuer.UUID, traceID string) (*spantypes.TraceStats, error)
 	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, orgID valuer.UUID, 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/signoz/module.go

@@ -161,7 +161,7 @@ func NewModules(
 		LogsPipeline:         impllogspipeline.NewModule(sqlstore),
 		RuleStateHistory:     implrulestatehistory.NewModule(implrulestatehistory.NewStore(telemetryStore, telemetryMetadataStore, providerSettings.Logger), ruleStore),
 		CloudIntegration:     cloudIntegrationModule,
-		TraceDetail:          impltracedetail.NewModule(impltracedetail.NewTraceStore(telemetryStore), providerSettings, config.TraceDetail),
+		TraceDetail:          impltracedetail.NewModule(impltracedetail.NewTraceStore(telemetryStore, telemetryMetadataStore, fl), providerSettings, config.TraceDetail),
 		SpanMapper:           spanMapper,
 		LLMPricingRule:       impllmpricingrule.NewModule(impllmpricingrule.NewStore(sqlstore), querier),
 		Tag:                  tagModule,

pkg/telemetryschema/aitelemetryschema/const.go

@@ -15,11 +15,12 @@ var (
 		aiobservabilitytypes.GenAIAgentName:     genAIAttribute(aiobservabilitytypes.GenAIAgentName, telemetrytypes.FieldDataTypeString),
 		aiobservabilitytypes.GenAIProviderName:  genAIAttribute(aiobservabilitytypes.GenAIProviderName, telemetrytypes.FieldDataTypeString),
 
-		aiobservabilitytypes.GenAIUsageInputTokens:              genAIAttribute(aiobservabilitytypes.GenAIUsageInputTokens, telemetrytypes.FieldDataTypeFloat64),
-		aiobservabilitytypes.GenAIUsageOutputTokens:             genAIAttribute(aiobservabilitytypes.GenAIUsageOutputTokens, telemetrytypes.FieldDataTypeFloat64),
-		aiobservabilitytypes.GenAIUsageCacheReadInputTokens:     genAIAttribute(aiobservabilitytypes.GenAIUsageCacheReadInputTokens, telemetrytypes.FieldDataTypeFloat64),
-		aiobservabilitytypes.GenAIUsageCacheCreationInputTokens: genAIAttribute(aiobservabilitytypes.GenAIUsageCacheCreationInputTokens, telemetrytypes.FieldDataTypeFloat64),
-		aiobservabilitytypes.SignozGenAITotalCost:               genAIAttribute(aiobservabilitytypes.SignozGenAITotalCost, telemetrytypes.FieldDataTypeFloat64),
+		aiobservabilitytypes.GenAIUsageInputTokens:              genAIAttribute(aiobservabilitytypes.GenAIUsageInputTokens, telemetrytypes.FieldDataTypeNumber),
+		aiobservabilitytypes.GenAIUsageOutputTokens:             genAIAttribute(aiobservabilitytypes.GenAIUsageOutputTokens, telemetrytypes.FieldDataTypeNumber),
+		aiobservabilitytypes.GenAIUsageCacheReadInputTokens:     genAIAttribute(aiobservabilitytypes.GenAIUsageCacheReadInputTokens, telemetrytypes.FieldDataTypeNumber),
+		aiobservabilitytypes.GenAIUsageCacheCreationInputTokens: genAIAttribute(aiobservabilitytypes.GenAIUsageCacheCreationInputTokens, telemetrytypes.FieldDataTypeNumber),
+		aiobservabilitytypes.GenAIUsageReasoningOutputTokens:    genAIAttribute(aiobservabilitytypes.GenAIUsageReasoningOutputTokens, telemetrytypes.FieldDataTypeNumber),
+		aiobservabilitytypes.SignozGenAITotalCost:               genAIAttribute(aiobservabilitytypes.SignozGenAITotalCost, telemetrytypes.FieldDataTypeNumber),
 
 		aiobservabilitytypes.GenAIInputMessages:  genAIAttribute(aiobservabilitytypes.GenAIInputMessages, telemetrytypes.FieldDataTypeString),
 		aiobservabilitytypes.GenAIOutputMessages: genAIAttribute(aiobservabilitytypes.GenAIOutputMessages, telemetrytypes.FieldDataTypeString),

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"}]

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

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_TaqNOsbmsz4ifWLVyDHYAAEK",
+				"name": "get_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter-gateway/gen_ai.completion.txt

@@ -0,0 +1 @@
+{"completion":"Let x be the cost of the ball. Then the bat costs x + 1 dollars. The total cost is given as:\n\n  x + (x + 1) = 1.10\n\nCombine like terms:\n\n  2x + 1 = 1.10\n\nSubtract 1 from both sides:\n\n  2x = 0.10\n\nDivide both sides by 2:\n\n  x = 0.05\n\nSo, the ball costs 5 cents.","reasoning":"**Calculating ball price**\n\nI'm determining the price of the ball based on a scenario where a bat and ball combined cost $1.10, with the bat costing $1 more than the ball. I set up the equation: let the cost of the ball be x, making the bat x + 1. Solving the equation x + (x + 1) = 1.10 leads me to find that x equals $0.05 for the ball. I need to confirm that this works: the ball at $0.05 and the bat at $1.05 totals $1.10.","rawRequest":{"model":"openai/o3-mini","max_completion_tokens":2000}}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter-gateway/gen_ai.completion.want.json

@@ -0,0 +1,15 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "thinking",
+				"content": "**Calculating ball price**\n\nI'm determining the price of the ball based on a scenario where a bat and ball combined cost $1.10, with the bat costing $1 more than the ball. I set up the equation: let the cost of the ball be x, making the bat x + 1. Solving the equation x + (x + 1) = 1.10 leads me to find that x equals $0.05 for the ball. I need to confirm that this works: the ball at $0.05 and the bat at $1.05 totals $1.10."
+			},
+			{
+				"type": "text",
+				"content": "Let x be the cost of the ball. Then the bat costs x + 1 dollars. The total cost is given as:\n\n  x + (x + 1) = 1.10\n\nCombine like terms:\n\n  2x + 1 = 1.10\n\nSubtract 1 from both sides:\n\n  2x = 0.10\n\nDivide both sides by 2:\n\n  x = 0.05\n\nSo, the ball costs 5 cents."
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter-gateway/gen_ai.prompt.txt

@@ -0,0 +1 @@
+{"messages":[{"role":"user","content":"What's the weather in Bengaluru? Use the tool."},{"content":null,"refusal":null,"role":"assistant","annotations":null,"audio":null,"function_call":null,"tool_calls":[{"id":"call_AwiGdiFjghGVhbmbGtt92rjs","function":{"arguments":"{\"city\":\"Bengaluru\"}","name":"get_current_weather"},"type":"function","index":0}],"reasoning":null},{"role":"tool","tool_call_id":"call_AwiGdiFjghGVhbmbGtt92rjs","content":"{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter-gateway/gen_ai.prompt.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_AwiGdiFjghGVhbmbGtt92rjs",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_AwiGdiFjghGVhbmbGtt92rjs"
+			}
+		]
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter/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_4BfNpuiPppRa5N1LQIkuBknW", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_4BfNpuiPppRa5N1LQIkuBknW", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/openrouter/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_4BfNpuiPppRa5N1LQIkuBknW",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_4BfNpuiPppRa5N1LQIkuBknW"
+			}
+		]
+	}
+]

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

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_4BfNpuiPppRa5N1LQIkuBknW", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]

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

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_4BfNpuiPppRa5N1LQIkuBknW",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/portkey/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_dYNkfcNlSN2A0TPAkSGXDPJb", "arguments": {"city": "Bengaluru"}}]}, {"role": "tool", "parts": [{"type": "tool_call_response", "id": "call_dYNkfcNlSN2A0TPAkSGXDPJb", "response": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}"}]}]

pkg/types/aiobservabilitytypes/genaimessages/testdata/captured/portkey/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_dYNkfcNlSN2A0TPAkSGXDPJb",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\": \"Bengaluru\", \"temp_c\": 28, \"summary\": \"Partly cloudy\"}",
+				"toolCallId": "call_dYNkfcNlSN2A0TPAkSGXDPJb"
+			}
+		]
+	}
+]

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

@@ -0,0 +1 @@
+[{"role": "assistant", "parts": [{"type": "tool_call", "name": "get_current_weather", "id": "call_dYNkfcNlSN2A0TPAkSGXDPJb", "arguments": {"city": "Bengaluru"}}], "finish_reason": "tool_call"}]

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

@@ -0,0 +1,16 @@
+[
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_dYNkfcNlSN2A0TPAkSGXDPJb",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru"
+				}
+			}
+		],
+		"finishReason": "tool_call"
+	}
+]

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

@@ -0,0 +1 @@
+[{"role":"user","content":[{"type":"text","text":"What is the weather in Bengaluru in celsius?"}]},{"role":"assistant","content":[{"type":"tool-call","toolCallId":"call_l0ycKcmt1uPCdGWR4SkwoLBv","toolName":"get_current_weather","args":{"city":"Bengaluru","unit":"c"}}]},{"role":"tool","content":[{"type":"tool-result","toolCallId":"call_l0ycKcmt1uPCdGWR4SkwoLBv","toolName":"get_current_weather","result":{"city":"Bengaluru","unit":"c","temperature":27,"condition":"partly cloudy"}}]}]

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

@@ -0,0 +1,36 @@
+[
+	{
+		"role": "user",
+		"content": [
+			{
+				"type": "text",
+				"content": "What is the weather in Bengaluru in celsius?"
+			}
+		]
+	},
+	{
+		"role": "assistant",
+		"content": [
+			{
+				"type": "tool_call",
+				"id": "call_l0ycKcmt1uPCdGWR4SkwoLBv",
+				"name": "get_current_weather",
+				"arguments": {
+					"city": "Bengaluru",
+					"unit": "c"
+				}
+			}
+		]
+	},
+	{
+		"role": "tool",
+		"content": [
+			{
+				"type": "tool_result",
+				"content": "{\"city\":\"Bengaluru\",\"condition\":\"partly cloudy\",\"temperature\":27,\"unit\":\"c\"}",
+				"name": "get_current_weather",
+				"toolCallId": "call_l0ycKcmt1uPCdGWR4SkwoLBv"
+			}
+		]
+	}
+]

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

@@ -0,0 +1 @@
+Hello! How are you today?