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5 Commits

Author SHA1 Message Date
Ashwin Bhatkal
2931b5be87 test(new-select): add stories for truncated label tooltips 2026-10-07 22:43:56 +05:30
Ashwin Bhatkal
6d47661cf8 fix(new-select): lift the selected value above the search input 2026-10-07 20:56:59 +05:30
Ashwin Bhatkal
707e965bc0 fix(new-select): keep wheel scrolling inside the dropdown 2026-10-07 16:14:22 +05:30
Ashwin Bhatkal
8ceac295aa fix(new-select): reveal a truncated selected value in a tooltip 2026-10-07 16:14:22 +05:30
Ashwin Bhatkal
6bdba9f949 fix(new-select): reveal truncated option labels in a tooltip 2026-10-07 16:14:12 +05:30
107 changed files with 487 additions and 5450 deletions

View File

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

View File

@@ -1,44 +1,5 @@
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:
@@ -9883,53 +9844,6 @@ 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:
@@ -10244,102 +10158,6 @@ 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:
@@ -16064,164 +15882,6 @@ 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

View File

@@ -4,53 +4,6 @@
* * 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
@@ -11382,82 +11335,6 @@ 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
@@ -11473,94 +11350,6 @@ 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;
};
@@ -13234,51 +13023,6 @@ 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

View File

@@ -4,17 +4,11 @@
* * regenerate with 'pnpm generate:api'
* SigNoz
*/
import { useMutation, useQuery } from 'react-query';
import { useMutation } from 'react-query';
import type {
InvalidateOptions,
MutationFunction,
QueryClient,
QueryFunction,
QueryKey,
UseMutationOptions,
UseMutationResult,
UseQueryOptions,
UseQueryResult,
} from 'react-query';
import type {
@@ -22,11 +16,6 @@ import type {
GetFlamegraphPathParameters,
GetTraceAggregations200,
GetTraceAggregationsPathParameters,
GetTraceSummary200,
GetTraceSummaryPathParameters,
GetTraceThread200,
GetTraceThreadParams,
GetTraceThreadPathParameters,
GetWaterfallV4200,
GetWaterfallV4PathParameters,
RenderErrorResponseDTO,
@@ -38,26 +27,6 @@ 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
@@ -158,223 +127,6 @@ 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

View File

@@ -21,7 +21,6 @@ import { Color } from '@signozhq/design-tokens';
import { Button, Select } from 'antd';
import { Checkbox } from '@signozhq/ui/checkbox';
import { TooltipProvider, TooltipSimple } from '@signozhq/ui/tooltip';
import { Typography } from '@signozhq/ui/typography';
import cx from 'classnames';
import TextToolTip from 'components/TextToolTip/TextToolTip';
import { SOMETHING_WENT_WRONG } from 'constants/api';
@@ -30,6 +29,7 @@ import { capitalize, isEmpty } from 'lodash-es';
import type { BaseSelectRef } from 'rc-select';
import { popupContainer } from 'utils/selectPopupContainer';
import TruncatedTooltip from './TruncatedTooltip';
import { CustomMultiSelectProps, CustomTagProps, OptionData } from './types';
import {
ALL_SELECTED_VALUE,
@@ -729,65 +729,71 @@ const CustomMultiSelect: React.FC<CustomMultiSelectProps> = ({
};
return (
<div
<TruncatedTooltip
key={option.value || `option-${index}`}
id={optionId}
ref={(el): void => {
if (index !== undefined) {
optionRefs.current[index] = el;
}
}}
className={cx('option-item', {
selected: isSelected,
active: isActive,
})}
onKeyDown={(e): void => {
if ((e.key === 'Enter' || e.key === SPACEKEY) && isActive) {
e.stopPropagation();
e.preventDefault();
handleItemSelection();
}
}}
onMouseEnter={(): void => {
setActiveIndex(index ?? -1);
setActiveChipIndex(-1); // Clear chip selection when hovering ALL option
}}
role="option"
aria-selected={isSelected}
aria-disabled={option.disabled}
tabIndex={isActive ? 0 : -1}
title={String(option.label || '')}
>
<Checkbox
value={isSelected}
className="option-checkbox"
onClick={(e): void => selectFromButton(e, 'checkbox')}
>
<div className="option-content">
<Typography.Text truncate={1} className="option-label-text">
{highlightMatchedText(String(option.label || ''), searchText)}
</Typography.Text>
{(option.type === 'custom' || option.type === 'regex') && (
<div className="option-badge">{capitalize(option.type)}</div>
)}
{option.value && ensureValidOption(option.value) && (
<Button
type="text"
className="only-btn"
onClick={(e): void => selectFromButton(e, 'option')}
>
{currentToggleTagValue({ option: option.value })}
</Button>
)}
<Button
type="text"
className="toggle-btn"
{(textRef): JSX.Element => (
<div
id={optionId}
ref={(el): void => {
if (index !== undefined) {
optionRefs.current[index] = el;
}
}}
className={cx('option-item', {
selected: isSelected,
active: isActive,
})}
onKeyDown={(e): void => {
if ((e.key === 'Enter' || e.key === SPACEKEY) && isActive) {
e.stopPropagation();
e.preventDefault();
handleItemSelection();
}
}}
onMouseEnter={(): void => {
setActiveIndex(index ?? -1);
setActiveChipIndex(-1); // Clear chip selection when hovering ALL option
}}
role="option"
aria-selected={isSelected}
aria-disabled={option.disabled}
tabIndex={isActive ? 0 : -1}
>
<Checkbox
value={isSelected}
className="option-checkbox"
onClick={(e): void => selectFromButton(e, 'checkbox')}
>
Toggle
</Button>
<div className="option-content">
<span ref={textRef} className="option-label-text">
{highlightMatchedText(String(option.label || ''), searchText)}
</span>
{(option.type === 'custom' || option.type === 'regex') && (
<div className="option-badge">{capitalize(option.type)}</div>
)}
{option.value && ensureValidOption(option.value) && (
<Button
type="text"
className="only-btn"
onClick={(e): void => selectFromButton(e, 'option')}
>
{currentToggleTagValue({ option: option.value })}
</Button>
)}
<Button
type="text"
className="toggle-btn"
onClick={(e): void => selectFromButton(e, 'checkbox')}
>
Toggle
</Button>
</div>
</Checkbox>
</div>
</Checkbox>
</div>
)}
</TruncatedTooltip>
);
},
[

View File

@@ -16,6 +16,7 @@ import {
X,
} from '@signozhq/icons';
import { Color } from '@signozhq/design-tokens';
import { TooltipProvider } from '@signozhq/ui/tooltip';
import { Select } from 'antd';
import cx from 'classnames';
import TextToolTip from 'components/TextToolTip';
@@ -25,6 +26,7 @@ import { capitalize, isEmpty } from 'lodash-es';
import type { BaseSelectRef } from 'rc-select';
import { popupContainer } from 'utils/selectPopupContainer';
import TruncatedTooltip from './TruncatedTooltip';
import { CustomSelectProps, OptionData } from './types';
import {
filterOptionsBySearch,
@@ -207,41 +209,46 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
const optionId = `option-${index}`;
return (
<div
key={option.value}
id={optionId}
ref={(el): void => {
if (index !== undefined) {
optionRefs.current[index] = el;
}
}}
className={cx('option-item', {
selected: isSelected,
active: isActive,
})}
onClick={(e): void => {
e.stopPropagation();
handleSelection();
}}
onKeyDown={(e): void => {
if (e.key === 'Enter' || e.key === SPACEKEY) {
e.preventDefault();
handleSelection();
}
}}
onMouseEnter={(): void => setActiveOptionIndex(index || -1)}
role="option"
aria-selected={isSelected}
aria-disabled={option.disabled}
tabIndex={isActive ? 0 : -1}
>
<div className="option-content">
<div>{highlightMatchedText(String(option.label || ''), searchText)}</div>
{option.type === 'custom' && (
<div className="option-badge">{capitalize(option.type)}</div>
)}
</div>
</div>
<TruncatedTooltip key={option.value} title={String(option.label || '')}>
{(textRef): JSX.Element => (
<div
id={optionId}
ref={(el): void => {
if (index !== undefined) {
optionRefs.current[index] = el;
}
}}
className={cx('option-item', {
selected: isSelected,
active: isActive,
})}
onClick={(e): void => {
e.stopPropagation();
handleSelection();
}}
onKeyDown={(e): void => {
if (e.key === 'Enter' || e.key === SPACEKEY) {
e.preventDefault();
handleSelection();
}
}}
onMouseEnter={(): void => setActiveOptionIndex(index || -1)}
role="option"
aria-selected={isSelected}
aria-disabled={option.disabled}
tabIndex={isActive ? 0 : -1}
>
<div className="option-content">
<span ref={textRef} className="option-label-text">
{highlightMatchedText(String(option.label || ''), searchText)}
</span>
{option.type === 'custom' && (
<div className="option-badge">{capitalize(option.type)}</div>
)}
</div>
</div>
)}
</TruncatedTooltip>
);
},
[highlightMatchedText, searchText, onChange, activeOptionIndex],
@@ -702,50 +709,67 @@ const CustomSelect: React.FC<CustomSelectProps> = ({
// ===== Final Processing =====
// Apply highlight to matched text in options
const optionsWithHighlight = useMemo(
() =>
options
?.filter((option) =>
String(option.label || '')
.toLowerCase()
.includes(searchText.toLowerCase()),
)
?.map((option) => ({
...option,
label: highlightMatchedText(String(option.label || ''), searchText),
})),
[options, searchText, highlightMatchedText],
);
const optionsWithHighlight = useMemo(() => {
const matching =
options?.filter((option) =>
String(option.label || '')
.toLowerCase()
.includes(searchText.toLowerCase()),
) ?? [];
// antd shows a value with no matching option as a bare string, so keep the
// selected value listed to render it through the tooltip label below.
return (
isEmpty(value)
? matching
: prioritizeOrAddOptionForSingleSelect(matching, value)
).map((option) => ({
...option,
// Rendered as the selected value in the closed control.
label: (
<TruncatedTooltip title={String(option.label || '')} side="bottom">
{(textRef): JSX.Element => (
<span ref={textRef} className="option-label-text">
{highlightMatchedText(String(option.label || ''), searchText)}
</span>
)}
</TruncatedTooltip>
),
}));
}, [options, searchText, value, highlightMatchedText]);
// ===== Component Rendering =====
return (
<Select
ref={selectRef}
className={cx('custom-select', className)}
placeholder={placeholder}
showSearch
filterOption={false}
onSearch={handleSearch}
value={value}
onChange={onChange}
onDropdownVisibleChange={handleDropdownVisibleChange}
open={isOpen}
options={optionsWithHighlight}
defaultActiveFirstOption={defaultActiveFirstOption}
popupMatchSelectWidth={popupMatchSelectWidth}
allowClear={allowClear ? { clearIcon } : false}
getPopupContainer={getPopupContainer ?? popupContainer}
suffixIcon={<ChevronDown style={{ cursor: 'default' }} size="md" />}
dropdownRender={customDropdownRender}
menuItemSelectedIcon={null}
popupClassName={cx('custom-select-dropdown-container', popupClassName)}
listHeight={300}
placement={placement}
optionFilterProp="label"
notFoundContent={<div className="empty-message">{noDataMessage}</div>}
onKeyDown={handleKeyDown}
{...rest}
/>
// Self-provided so label tooltips work wherever this select is rendered.
<TooltipProvider>
<Select
ref={selectRef}
className={cx('custom-select', className)}
placeholder={placeholder}
showSearch
filterOption={false}
onSearch={handleSearch}
value={value}
onChange={onChange}
onDropdownVisibleChange={handleDropdownVisibleChange}
open={isOpen}
options={optionsWithHighlight}
defaultActiveFirstOption={defaultActiveFirstOption}
popupMatchSelectWidth={popupMatchSelectWidth}
allowClear={allowClear ? { clearIcon } : false}
getPopupContainer={getPopupContainer ?? popupContainer}
suffixIcon={<ChevronDown style={{ cursor: 'default' }} size="md" />}
dropdownRender={customDropdownRender}
menuItemSelectedIcon={null}
popupClassName={cx('custom-select-dropdown-container', popupClassName)}
listHeight={300}
placement={placement}
optionFilterProp="label"
notFoundContent={<div className="empty-message">{noDataMessage}</div>}
onKeyDown={handleKeyDown}
{...rest}
/>
</TooltipProvider>
);
};

View File

@@ -0,0 +1,4 @@
// Above the antd select popup it is shown from.
.tooltipContent {
--tooltip-z-index: 2100;
}

View File

@@ -0,0 +1,41 @@
import { ReactElement, RefObject, useRef, useState } from 'react';
import { TooltipSimple, TooltipSimpleProps } from '@signozhq/ui/tooltip';
import styles from './TruncatedTooltip.module.scss';
interface TruncatedTooltipProps {
title: string;
side?: TooltipSimpleProps['side'];
/** Renders the trigger; attach the ref to the element that may truncate. */
children: (textRef: RefObject<HTMLSpanElement>) => ReactElement;
}
function TruncatedTooltip({
title,
side = 'right',
children,
}: TruncatedTooltipProps): JSX.Element {
const textRef = useRef<HTMLSpanElement>(null);
const [open, setOpen] = useState(false);
const handleOpenChange = (next: boolean): void => {
const el = textRef.current;
setOpen(next && !!el && el.scrollWidth > el.clientWidth);
};
return (
<TooltipSimple
title={title}
side={side}
arrow
delayDuration={300}
open={open}
onOpenChange={handleOpenChange}
tooltipContentProps={{ className: styles.tooltipContent }}
>
{children(textRef)}
</TooltipSimple>
);
}
export default TruncatedTooltip;

View File

@@ -0,0 +1,34 @@
import { act, render, screen } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import CustomSelect from '../CustomSelect';
const LABEL = '/oteldemo.RecommendationService/ListRecommendations';
describe('CustomSelect selected value tooltip', () => {
beforeEach(() => {
jest.useFakeTimers();
jest.spyOn(HTMLElement.prototype, 'scrollWidth', 'get').mockReturnValue(400);
jest.spyOn(HTMLElement.prototype, 'clientWidth', 'get').mockReturnValue(200);
});
afterEach(() => {
jest.useRealTimers();
jest.restoreAllMocks();
});
it.each([
['listed in the options', [{ label: LABEL, value: LABEL }]],
['missing from the options', [{ label: 'other', value: 'other' }]],
])('reveals a truncated selected value %s on hover', async (_, options) => {
render(<CustomSelect options={options} value={LABEL} />);
const user = userEvent.setup({ advanceTimers: jest.advanceTimersByTime });
await user.hover(screen.getByText(LABEL));
act(() => {
jest.advanceTimersByTime(500);
});
expect(screen.getByRole('tooltip')).toHaveTextContent(LABEL);
});
});

View File

@@ -0,0 +1,63 @@
import { act, render, screen } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import { TooltipProvider } from '@signozhq/ui/tooltip';
import TruncatedTooltip from '../TruncatedTooltip';
const LABEL = '/oteldemo.RecommendationService/ListRecommendations';
function renderRow(scrollWidth: number, clientWidth: number): void {
jest
.spyOn(HTMLElement.prototype, 'scrollWidth', 'get')
.mockReturnValue(scrollWidth);
jest
.spyOn(HTMLElement.prototype, 'clientWidth', 'get')
.mockReturnValue(clientWidth);
render(
<TooltipProvider>
<TruncatedTooltip title={LABEL}>
{(textRef): JSX.Element => (
<div data-testid="row">
<span ref={textRef}>{LABEL}</span>
</div>
)}
</TruncatedTooltip>
</TooltipProvider>,
);
}
async function hover(element: HTMLElement): Promise<void> {
const user = userEvent.setup({ advanceTimers: jest.advanceTimersByTime });
await user.hover(element);
act(() => {
jest.advanceTimersByTime(500);
});
}
describe('TruncatedTooltip', () => {
beforeEach(() => {
jest.useFakeTimers();
});
afterEach(() => {
jest.useRealTimers();
jest.restoreAllMocks();
});
it('reveals truncated text when its row is hovered', async () => {
renderRow(400, 200);
await hover(screen.getByTestId('row'));
expect(screen.getByRole('tooltip')).toHaveTextContent(LABEL);
});
it('shows no tooltip when the text fits', async () => {
renderRow(200, 200);
await hover(screen.getByTestId('row'));
expect(screen.queryByRole('tooltip')).not.toBeInTheDocument();
});
});

View File

@@ -135,6 +135,51 @@ const LONG_LABEL_OPTION = {
value: 'checkout-payment-authorisation',
};
/** Truncation: hovering a cut-off option reveals its full label beside the row. */
export const TruncatedOption: Story = {
args: { options: [LONG_LABEL_OPTION, ...options] },
play: async (): Promise<void> => {
await userEvent.click(
await screen.findByRole('combobox', { name: 'Service' }),
);
await userEvent.hover(
await screen.findByRole('option', { name: LONG_LABEL_OPTION.label }),
);
await screen.findByRole('tooltip', { name: LONG_LABEL_OPTION.label });
},
};
/** Truncation: hovering a cut-off selected value reveals it in full. */
export const TruncatedValue: Story = {
args: {
options: [LONG_LABEL_OPTION, ...options],
value: LONG_LABEL_OPTION.value,
},
play: async (): Promise<void> => {
await userEvent.hover(await screen.findByText(LONG_LABEL_OPTION.label));
await screen.findByRole('tooltip', { name: LONG_LABEL_OPTION.label });
},
};
/** Truncation: a multi-select option reveals its full label the same way. */
export const MultiTruncatedOption: Story = {
render: (): JSX.Element => (
<CustomMultiSelect
aria-label="Services"
options={[LONG_LABEL_OPTION, ...options]}
/>
),
play: async (): Promise<void> => {
await userEvent.click(
await screen.findByRole('combobox', { name: 'Services' }),
);
await userEvent.hover(
await screen.findByRole('option', { name: LONG_LABEL_OPTION.label }),
);
await screen.findByRole('tooltip', { name: LONG_LABEL_OPTION.label });
},
};
/**
* Every tooltip the select renders, held open: the selected chip revealing the
* option label it was cut from. Nothing bounds that label, so the chip is given

View File

@@ -29,6 +29,13 @@ $custom-border-color: #2c3044;
background-color: var(--l2-background);
color: color-mix(in srgb, var(--border) 70%, transparent);
}
// The search input overlays the selected value; lift the value above it while
// closed so hovers reach its tooltip. Clicks still open the select and focus the input.
&:not(.ant-select-open) .ant-select-selection-item {
position: relative;
z-index: 1;
}
}
// Keep chip styles ONLY in the multi-select
@@ -223,6 +230,33 @@ $custom-border-color: #2c3044;
}
}
// Ellipsized option label; also the selected value in the closed single select.
.option-label-text {
display: block;
flex: 1 1 auto;
min-width: 0;
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
// overscroll-behavior only holds on a box that overflows; a 1px sentinel past
// the bottom makes even a short list overflow, so the wheel never scrolls the page.
.custom-select-dropdown,
.custom-multiselect-dropdown {
position: relative;
overscroll-behavior: contain;
&::after {
content: '';
position: absolute;
top: 100%;
left: 0;
width: 1px;
height: 1px;
}
}
// Custom dropdown styles for single select
.custom-select-dropdown {
padding: 8px 0 0 0;

View File

@@ -10,23 +10,6 @@ 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{
@@ -84,23 +67,5 @@ 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
}

View File

@@ -6,9 +6,7 @@ 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"
)
@@ -20,22 +18,6 @@ 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 {
@@ -93,31 +75,3 @@ 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)
}

View File

@@ -8,7 +8,6 @@ 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"
)
@@ -40,41 +39,26 @@ 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) {
bounds, err := m.store.GetTraceBounds(ctx, traceID)
summary, err := m.store.GetTraceSummary(ctx, traceID)
if err != nil {
return nil, err
}
if bounds.NumSpans > uint64(m.config.Waterfall.MaxLimitToSelectAllSpans) {
if summary.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(bounds.NumSpans), attrs)
return m.getWindowedWaterfall(ctx, traceID, selectedSpanID, uncollapsedSpans, bounds.Start, bounds.End)
m.metrics.waterfallSpanCount.Add(ctx, int64(summary.NumSpans), attrs)
return m.getWindowedWaterfall(ctx, traceID, selectedSpanID, uncollapsedSpans, summary.Start, summary.End)
}
return m.getFullWaterfall(ctx, traceID, bounds)
return m.getFullWaterfall(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)
func (m *module) getFullWaterfall(ctx context.Context, traceID string, summary *spantypes.TraceSummary) (*spantypes.GettableWaterfallTrace, error) {
spanItems, err := m.store.GetTraceSpans(ctx, traceID, summary)
if err != nil {
return nil, err
}
@@ -94,24 +78,24 @@ func (m *module) getFullWaterfall(ctx context.Context, traceID string, bounds *s
}
func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error) {
bounds, err := m.store.GetTraceBounds(ctx, traceID)
summary, err := m.store.GetTraceSummary(ctx, traceID)
if err != nil {
return nil, err
}
traceDurationNs := uint64(bounds.End.UnixNano()) - uint64(bounds.Start.UnixNano())
traceDurationNs := uint64(summary.End.UnixNano()) - uint64(summary.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, bounds, agg.Field)
result.Value, err = m.store.GetSpanCountByField(ctx, traceID, summary, agg.Field)
if err != nil {
return nil, err
}
case spantypes.SpanAggregationDuration:
durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, bounds, agg.Field)
durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, summary, agg.Field)
if err2 != nil {
return nil, err2
}
@@ -120,7 +104,7 @@ 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, bounds, agg.Field)
durationNs, err2 := m.store.GetSpanDurationByField(ctx, traceID, summary, agg.Field)
if err2 != nil {
return nil, err2
}
@@ -137,15 +121,15 @@ 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) {
bounds, err := m.store.GetTraceBounds(ctx, traceID)
summary, err := m.store.GetTraceSummary(ctx, traceID)
if err != nil {
return nil, err
}
if bounds.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
return m.getFullFlamegraph(ctx, traceID, bounds, selectFields)
if summary.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
return m.getFullFlamegraph(ctx, traceID, summary, selectFields)
}
m.metrics.flamegraphRequestCount.Add(ctx, 1, metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, bounds, selectFields)
return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, summary, selectFields)
}
// getWindowedWaterfall builds the waterfall tree with minimal data and then returns only a window of full spans.
@@ -189,51 +173,8 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
), 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)
func (m *module) getFullFlamegraph(ctx context.Context, traceID string, summary *spantypes.TraceSummary, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, nil)
if err != nil {
return nil, err
}
@@ -246,8 +187,8 @@ func (m *module) getFullFlamegraph(ctx context.Context, traceID string, bounds *
}
// 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, bounds *spantypes.TraceBounds, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
minimalSpans, err := m.store.GetMinimalSpans(ctx, traceID, bounds.Start, bounds.End)
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)
if err != nil {
return nil, err
}
@@ -266,7 +207,7 @@ func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpa
return nil, spantypes.ErrTraceNotFound
}
fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, bounds.Start, bounds.End, spantypes.FlamegraphWindowSpanIDs(selectedSpans))
fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, spantypes.FlamegraphWindowSpanIDs(selectedSpans))
if err != nil {
return nil, err
}

View File

@@ -4,22 +4,15 @@ 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$$$$name` // $ gets escaped so $$$$ converts to $$.
@@ -45,21 +38,13 @@ type spanDurationRow struct {
type traceStore struct {
telemetryStore telemetrystore.TelemetryStore
metadataStore telemetrytypes.MetadataStore
storage qbtypes.Storage
flagger flagger.Flagger
}
func NewTraceStore(ts telemetrystore.TelemetryStore, metadataStore telemetrytypes.MetadataStore, fl flagger.Flagger) *traceStore {
return &traceStore{
telemetryStore: ts,
metadataStore: metadataStore,
storage: tracestelemetryschema.NewStorage(),
flagger: fl,
}
func NewTraceStore(ts telemetrystore.TelemetryStore) *traceStore {
return &traceStore{telemetryStore: ts}
}
func (s *traceStore) GetTraceBounds(ctx context.Context, traceID string) (*spantypes.TraceBounds, error) {
func (s *traceStore) GetTraceSummary(ctx context.Context, traceID string) (*spantypes.TraceSummary, 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))
@@ -67,135 +52,20 @@ func (s *traceStore) GetTraceBounds(ctx context.Context, traceID string) (*spant
sb.GroupBy("trace_id")
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
var bounds spantypes.TraceBounds
var summary spantypes.TraceSummary
err := s.telemetryStore.ClickhouseDB().QueryRow(ctx, query, args...).Scan(
&bounds.TraceID, &bounds.Start, &bounds.End, &bounds.NumSpans,
&summary.TraceID, &summary.Start, &summary.End, &summary.NumSpans,
)
if err != nil {
if errors.Is(err, sql.ErrNoRows) {
return nil, spantypes.ErrTraceNotFound
}
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace bounds")
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace summary")
}
return &bounds, nil
return &summary, nil
}
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) {
func (s *traceStore) GetTraceSpans(ctx context.Context, traceID string, summary *spantypes.TraceSummary) ([]spantypes.StorableSpan, error) {
// DISTINCT ON (span_id) is ClickHouse-specific syntax not supported by sqlbuilder
query := fmt.Sprintf(`
SELECT DISTINCT ON (span_id)
@@ -215,8 +85,8 @@ func (s *traceStore) GetTraceSpans(ctx context.Context, traceID string, bounds *
err := s.telemetryStore.ClickhouseDB().Select(
ctx, &spanItems, query,
traceID,
bounds.Start.Unix()-1800,
bounds.End.Unix(),
summary.Start.Unix()-1800,
summary.End.Unix(),
)
if err != nil {
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying trace spans")
@@ -254,7 +124,8 @@ 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",
@@ -284,92 +155,6 @@ 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(
@@ -411,7 +196,7 @@ func (s *traceStore) GetFlamegraphSpans(ctx context.Context, traceID string, sta
return spans, nil
}
func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, bounds *spantypes.TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, summary *spantypes.TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
fieldExpr, err := buildFieldExpr(fieldKey)
if err != nil {
return nil, err
@@ -421,8 +206,8 @@ func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, bo
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.GE("ts_bucket_start", summary.Start.Unix()-1800),
sb.LE("ts_bucket_start", summary.End.Unix()),
"notEmpty("+fieldExpr+")",
)
sb.GroupBy("field_value")
@@ -439,7 +224,7 @@ func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, bo
return result, nil
}
func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string, bounds *spantypes.TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
func (s *traceStore) GetSpanDurationByField(ctx context.Context, traceID string, summary *spantypes.TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
fieldExpr, err := buildFieldExpr(fieldKey)
if err != nil {
return nil, err
@@ -455,8 +240,8 @@ 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", bounds.Start.Unix()-1800),
allSpansSB.LE("ts_bucket_start", bounds.End.Unix()),
allSpansSB.GE("ts_bucket_start", summary.Start.Unix()-1800),
allSpansSB.LE("ts_bucket_start", summary.End.Unix()),
"notEmpty(field_value)",
)
allSpansSB.OrderByAsc("timestamp")
@@ -492,34 +277,3 @@ 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
}

File diff suppressed because one or more lines are too long

View File

@@ -6,23 +6,18 @@ 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)
}

View File

@@ -566,6 +566,24 @@ 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.
@@ -580,7 +598,7 @@ func mergeSpanAttributeColumns(data map[string]any) {
resStr, hasRes := data["resources_string"]
if hasStr || hasNum || hasBool || attrJSON != nil || hasRes {
attributes := make(map[string]any)
attrJSON.FlattenInto("", attributes)
flattenJSONPaths("", attrJSON, attributes)
if m, ok := attrStr.(map[string]string); ok {
for k, v := range m {
attributes[k] = v

View File

@@ -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, telemetryMetadataStore, fl), providerSettings, config.TraceDetail),
TraceDetail: impltracedetail.NewModule(impltracedetail.NewTraceStore(telemetryStore), providerSettings, config.TraceDetail),
SpanMapper: spanMapper,
LLMPricingRule: impllmpricingrule.NewModule(impllmpricingrule.NewStore(sqlstore), querier),
Tag: tagModule,

View File

@@ -15,12 +15,11 @@ var (
aiobservabilitytypes.GenAIAgentName: genAIAttribute(aiobservabilitytypes.GenAIAgentName, telemetrytypes.FieldDataTypeString),
aiobservabilitytypes.GenAIProviderName: genAIAttribute(aiobservabilitytypes.GenAIProviderName, telemetrytypes.FieldDataTypeString),
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.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.GenAIInputMessages: genAIAttribute(aiobservabilitytypes.GenAIInputMessages, telemetrytypes.FieldDataTypeString),
aiobservabilitytypes.GenAIOutputMessages: genAIAttribute(aiobservabilitytypes.GenAIOutputMessages, telemetrytypes.FieldDataTypeString),

View File

@@ -1,41 +0,0 @@
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)
})
}
}

View File

@@ -1,307 +0,0 @@
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
}

View File

@@ -1,288 +0,0 @@
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"},
},
},
},
},
})
}

View File

@@ -1,71 +0,0 @@
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)

View File

@@ -1,146 +0,0 @@
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))
})
}
}

View File

@@ -1,254 +0,0 @@
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)}}}
}

View File

@@ -1,257 +0,0 @@
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."},
},
},
},
},
})
}

View File

@@ -1,152 +0,0 @@
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)}
}

View File

@@ -1,130 +0,0 @@
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"},
},
},
},
},
})
}

View File

@@ -1,54 +0,0 @@
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...))
}

View File

@@ -1,53 +0,0 @@
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)
}
})
}
}

View File

@@ -1 +0,0 @@
[{"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\"}"}]

View File

@@ -1,33 +0,0 @@
[
{
"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\"}"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
{"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"}

View File

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

View File

@@ -1 +0,0 @@
{"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"}}]]}

View File

@@ -1,43 +0,0 @@
[
{
"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"
}
]
}
]

View File

@@ -1 +0,0 @@
[{"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"}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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"}}]}]

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@@ -1,44 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

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

View File

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

View File

@@ -1 +0,0 @@
{"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."}]}

View File

@@ -1,43 +0,0 @@
[
{
"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"
}
]
}
]

View File

@@ -1 +0,0 @@
{"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}

View File

@@ -1,20 +0,0 @@
[
{
"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"
}
]

View File

@@ -1 +0,0 @@
{"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}

View File

@@ -1,52 +0,0 @@
[
{
"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"
}
]
}
]

View File

@@ -1 +0,0 @@
{"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}}}

View File

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

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
{"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}}

View File

@@ -1,15 +0,0 @@
[
{
"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."
}
]
}
]

View File

@@ -1 +0,0 @@
{"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\"}"}]}

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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\"}"}]}]

View File

@@ -1,34 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

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

View File

@@ -1 +0,0 @@
[{"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"}}]}]

View File

@@ -1,36 +0,0 @@
[
{
"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"
}
]
}
]

View File

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

View File

@@ -1,10 +0,0 @@
[
{
"content": [
{
"type": "text",
"content": "Hello! How are you today?"
}
]
}
]

View File

@@ -1 +0,0 @@
[{"type":"tool-call","toolCallId":"call_l0ycKcmt1uPCdGWR4SkwoLBv","toolName":"get_current_weather","args":{"city":"Bengaluru","unit":"c"}}]

View File

@@ -1,16 +0,0 @@
[
{
"role": "assistant",
"content": [
{
"type": "tool_call",
"id": "call_l0ycKcmt1uPCdGWR4SkwoLBv",
"name": "get_current_weather",
"arguments": {
"city": "Bengaluru",
"unit": "c"
}
}
]
}
]

View File

@@ -1,160 +0,0 @@
package genaimessages
import (
"encoding/json"
"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
)
// parseArguments decodes JSON-encoded arguments; anything else is returned as is.
func parseArguments(value any) any {
s, ok := value.(string)
if !ok {
return value
}
var decoded any
if err := json.Unmarshal([]byte(s), &decoded); err != nil {
return s
}
return decoded
}
func decodeJSONStrings(list []any) ([]any, bool) {
out := make([]any, 0, len(list))
for _, item := range list {
s, ok := item.(string)
if !ok {
return nil, false
}
var decoded map[string]any
if err := json.Unmarshal([]byte(s), &decoded); err != nil || decoded == nil {
return nil, false
}
out = append(out, decoded)
}
return out, true
}
func flattenOnce(list []any) []any {
out := make([]any, 0, len(list))
for _, item := range list {
if inner, ok := item.([]any); ok {
out = append(out, inner...)
continue
}
out = append(out, item)
}
return out
}
// object is a decoded JSON object. Its accessors return zero values for missing
// keys and for values of another type, so reads never panic.
type object map[string]any
func toObject(value any) (object, bool) {
switch v := value.(type) {
case object:
return v, true
case map[string]any:
return v, true
}
return nil, false
}
func asObject(value any) object {
m, _ := toObject(value)
return m
}
func (o object) at(key string) any {
return o[key]
}
func (o object) get(key string) (any, bool) {
value, ok := o[key]
return value, ok
}
func (o object) has(key string) bool {
_, ok := o[key]
return ok
}
func (o object) str(key string) string {
return stringOf(o[key])
}
func (o object) flag(key string) bool {
return boolOf(o[key])
}
func (o object) text(key string) (string, bool) {
s, ok := o[key].(string)
return s, ok
}
func (o object) obj(key string) (object, bool) {
return toObject(o[key])
}
func (o object) list(key string) ([]any, bool) {
l, ok := o[key].([]any)
return l, ok
}
// lookup returns the first non-nil value among keys.
func (o object) lookup(keys ...string) (any, bool) {
for _, k := range keys {
if value, ok := o[k]; ok && value != nil {
return value, true
}
}
return nil, false
}
func (o object) first(keys ...string) any {
value, _ := o.lookup(keys...)
return value
}
func firstItem(list []any) any {
if len(list) == 0 {
return nil
}
return list[0]
}
// lastMessage returns nil for an empty slice.
func lastMessage(messages []aiobservabilitytypes.Message) *aiobservabilitytypes.Message {
if len(messages) == 0 {
return nil
}
return &messages[len(messages)-1]
}
func lastItem(list []any) any {
if len(list) == 0 {
return nil
}
return list[len(list)-1]
}
func boolOf(value any) bool {
b, _ := value.(bool)
return b
}
// stringOf renders nil as "" and non-strings as compact JSON.
func stringOf(value any) string {
switch v := value.(type) {
case nil:
return ""
case string:
return v
}
data, err := json.Marshal(value)
if err != nil {
return ""
}
return string(data)
}

View File

@@ -1,53 +0,0 @@
package genaimessages
import (
"testing"
"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
"github.com/stretchr/testify/assert"
)
func TestObjectAccessors_NilObject_ZeroValues(t *testing.T) {
var o object
assert.Nil(t, o.at("key"))
assert.False(t, o.has("key"))
assert.Equal(t, "", o.str("key"))
assert.False(t, o.flag("key"))
assert.Nil(t, o.first("a", "b"))
_, ok := o.obj("key")
assert.False(t, ok)
_, ok = o.list("key")
assert.False(t, ok)
_, ok = o.text("key")
assert.False(t, ok)
}
func TestObjectAccessors_WrongType_ZeroValues(t *testing.T) {
o := object{"number": 1.5, "text": "hi"}
_, ok := o.obj("number")
assert.False(t, ok)
_, ok = o.list("text")
assert.False(t, ok)
_, ok = o.text("number")
assert.False(t, ok)
assert.False(t, o.flag("text"))
assert.Equal(t, "1.5", o.str("number"))
}
func TestSliceHelpers_EmptySlice_NilOrZero(t *testing.T) {
assert.Nil(t, firstItem(nil))
assert.Nil(t, lastItem([]any{}))
assert.Nil(t, lastMessage(nil))
assert.Equal(t, "b", lastItem([]any{"a", "b"}))
messages := []aiobservabilitytypes.Message{{Role: aiobservabilitytypes.MessageRoleUser}, {Role: aiobservabilitytypes.MessageRoleAssistant}}
assert.Same(t, &messages[1], lastMessage(messages))
}
func TestToObject_AcceptsDecodedMapAndObject(t *testing.T) {
_, ok := toObject(map[string]any{"a": 1})
assert.True(t, ok)
_, ok = toObject(object{"a": 1})
assert.True(t, ok)
_, ok = toObject([]any{})
assert.False(t, ok)
}

View File

@@ -15,7 +15,6 @@ const (
GenAIUsageOutputTokens = "gen_ai.usage.output_tokens"
GenAIUsageCacheReadInputTokens = "gen_ai.usage.cache_read.input_tokens"
GenAIUsageCacheCreationInputTokens = "gen_ai.usage.cache_creation.input_tokens"
GenAIUsageReasoningOutputTokens = "gen_ai.usage.reasoning.output_tokens"
GenAIInputMessages = "gen_ai.input.messages"
GenAIOutputMessages = "gen_ai.output.messages"

View File

@@ -1,57 +0,0 @@
package aiobservabilitytypes
const (
MessageRoleSystem MessageRole = "system"
MessageRoleUser MessageRole = "user"
MessageRoleAssistant MessageRole = "assistant"
MessageRoleTool MessageRole = "tool"
)
const (
FinishReasonStop FinishReason = "stop"
FinishReasonToolCall FinishReason = "tool_call"
FinishReasonLength FinishReason = "length"
FinishReasonContentFilter FinishReason = "content_filter"
FinishReasonError FinishReason = "error"
)
const (
PartTypeText PartType = "text"
PartTypeThinking PartType = "thinking"
PartTypeToolCall PartType = "tool_call"
PartTypeToolResult PartType = "tool_result"
PartTypeGeneric PartType = "generic"
)
type MessageRole string
type FinishReason string
type PartType string
// Part is one piece of a message. Which fields are set depends on Type:
//
// text Content
// thinking Content, empty when the provider hid the reasoning
// tool_call ID, Name, Arguments
// tool_result ToolCallID, Name, Content, IsError
// generic Content (the original value, always a string)
type Part struct {
Type PartType `json:"type" required:"true"`
Content string `json:"content,omitempty"`
ID string `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Arguments any `json:"arguments,omitempty"`
ToolCallID string `json:"toolCallId,omitempty"`
IsError bool `json:"isError,omitempty"`
}
type Message struct {
Role MessageRole `json:"role,omitempty"`
Content []Part `json:"content" required:"true" nullable:"false"`
FinishReason FinishReason `json:"finishReason,omitempty"`
}
func (PartType) Enum() []any {
return []any{PartTypeText, PartTypeThinking, PartTypeToolCall, PartTypeToolResult, PartTypeGeneric}
}

View File

@@ -31,15 +31,12 @@ type SpanMapperStore interface {
// TraceStore defines the data access interface for trace detail queries.
type TraceStore interface {
GetTraceBounds(ctx context.Context, traceID string) (*TraceBounds, error)
GetTraceStats(ctx context.Context, orgID valuer.UUID, traceID string, bounds *TraceBounds) (*TraceStats, error)
GetTraceSpans(ctx context.Context, traceID string, bounds *TraceBounds) ([]StorableSpan, error)
GetTraceSummary(ctx context.Context, traceID string) (*TraceSummary, error)
GetTraceSpans(ctx context.Context, traceID string, summary *TraceSummary) ([]StorableSpan, error)
GetMinimalSpans(ctx context.Context, traceID string, start, end time.Time) ([]MinimalSpan, error)
GetTraceSpansByIDs(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]StorableSpan, error)
GetFlamegraphSpans(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]StorableSpan, error)
GetThreadSpans(ctx context.Context, orgID valuer.UUID, traceID string, bounds *TraceBounds, page ThreadPage) ([]StorableSpan, error)
GetThreadCursor(ctx context.Context, traceID string, bounds *TraceBounds, spanID string) (*ThreadCursor, error)
GetSpanCountByField(ctx context.Context, traceID string, bounds *TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)
GetSpanDurationByField(ctx context.Context, traceID string, bounds *TraceBounds, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)
GetSpanCountByField(ctx context.Context, traceID string, summary *TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)
GetSpanDurationByField(ctx context.Context, traceID string, summary *TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)
}

View File

@@ -1,215 +0,0 @@
package spantypes
import (
"encoding/base64"
"encoding/json"
"maps"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes/genaimessages"
)
const (
threadDefaultLimit = 20
threadMaxLimit = 100
)
const (
ThreadAfter ThreadFrom = iota // > cursor, ascending
ThreadAt // >= cursor, ascending
ThreadBefore // < cursor, descending
)
var (
ErrCodeThreadInvalidLimit = errors.MustNewCode("trace_thread_invalid_limit")
ErrCodeThreadInvalidCursor = errors.MustNewCode("trace_thread_invalid_cursor")
ErrCodeThreadInvalidAnchor = errors.MustNewCode("trace_thread_invalid_anchor")
ErrCodeThreadSpanNotFound = errors.MustNewCode("trace_thread_span_not_found")
)
type GetTraceThreadParams struct {
Limit int `query:"limit" description:"Page size, at most 100. 0 means 20."`
After string `query:"after" description:"The nextCursor of a page; returns the spans after it. Set only one of after, before and spanId."`
Before string `query:"before" description:"The prevCursor of a page; returns the spans before it. Set only one of after, before and spanId."`
SpanID string `query:"spanId" description:"Returns the page around this span. Set only one of after, before and spanId."`
}
type ThreadQuery struct {
Limit int
After *ThreadCursor
Before *ThreadCursor
SpanID string
}
// ThreadCursor is the (TimeUnixNano, SpanID) key of a span.
type ThreadCursor struct {
TimeUnixNano uint64 `json:"timeUnixNano"`
SpanID string `json:"spanId"`
}
type ThreadFrom int
type ThreadPage struct {
Cursor *ThreadCursor
From ThreadFrom
Limit int
}
type GettableTraceThread struct {
Spans []*ThreadSpan `json:"spans" required:"true" nullable:"false"`
PrevCursor string `json:"prevCursor,omitempty"`
NextCursor string `json:"nextCursor,omitempty"`
}
// ThreadSpan carries the fields the span details pane reads; snake_case keys match WaterfallSpan.
// The formatted fields are set only when the span has the matching gen_ai messages attribute.
type ThreadSpan struct {
SpanID string `json:"span_id" required:"true"`
TraceID string `json:"trace_id" required:"true"`
ParentSpanID string `json:"parent_span_id" required:"true"`
Name string `json:"name" required:"true"`
KindString string `json:"kind_string" required:"true"`
TimeUnix uint64 `json:"time_unix" required:"true"`
DurationNano uint64 `json:"duration_nano" required:"true"`
HasError bool `json:"has_error" required:"true"`
StatusCodeString string `json:"status_code_string" required:"true"`
StatusMessage string `json:"status_message" required:"true"`
Resource map[string]string `json:"resource" required:"true" nullable:"false"`
Attributes map[string]any `json:"attributes" required:"true" nullable:"false"`
Events []Event `json:"events" required:"true" nullable:"false"`
References []OtelSpanRef `json:"references" required:"true" nullable:"false"`
FormattedInput []aiobservabilitytypes.Message `json:"formatted_input,omitempty" nullable:"false"`
FormattedOutput []aiobservabilitytypes.Message `json:"formatted_output,omitempty" nullable:"false"`
timeUnixNano uint64
}
func NewThreadQuery(params *GetTraceThreadParams) (*ThreadQuery, error) {
query := &ThreadQuery{Limit: params.Limit, SpanID: params.SpanID}
if query.Limit < 0 {
return nil, errors.NewInvalidInputf(ErrCodeThreadInvalidLimit, "limit cannot be negative, got %d", query.Limit)
}
if query.Limit == 0 {
query.Limit = threadDefaultLimit
}
if query.Limit > threadMaxLimit {
return nil, errors.NewInvalidInputf(ErrCodeThreadInvalidLimit, "limit cannot exceed %d, got %d", threadMaxLimit, query.Limit)
}
anchors := 0
for _, value := range []string{params.After, params.Before, params.SpanID} {
if value != "" {
anchors++
}
}
if anchors > 1 {
return nil, errors.NewInvalidInputf(ErrCodeThreadInvalidAnchor, "only one of after, before and spanId can be set")
}
encoded := params.After
if encoded == "" {
encoded = params.Before
}
if encoded == "" {
return query, nil
}
data, err := base64.RawURLEncoding.DecodeString(encoded)
if err != nil {
return nil, errors.WrapInvalidInputf(err, ErrCodeThreadInvalidCursor, "invalid cursor")
}
cursor := new(ThreadCursor)
if err := json.Unmarshal(data, cursor); err != nil {
return nil, errors.WrapInvalidInputf(err, ErrCodeThreadInvalidCursor, "invalid cursor")
}
if cursor.SpanID == "" {
return nil, errors.NewInvalidInputf(ErrCodeThreadInvalidCursor, "invalid cursor: missing span id")
}
if params.After != "" {
query.After = cursor
} else {
query.Before = cursor
}
return query, nil
}
func (c ThreadCursor) Encode() string {
data, _ := json.Marshal(c)
return base64.RawURLEncoding.EncodeToString(data)
}
// NewGettableTraceThread takes up to limit+1 spans on each side of the anchor: before in
// descending order, after in ascending order. Half the page goes to before, the rest to after,
// and a short side gives its room to the other. An extra span on a side sets that side's cursor.
func NewGettableTraceThread(traceID string, query *ThreadQuery, before, after []StorableSpan) *GettableTraceThread {
nAfter := min(len(after), query.Limit-min(len(before), query.Limit/2))
nBefore := min(len(before), query.Limit-nAfter)
hasPrev := len(before) > nBefore || query.After != nil
hasNext := len(after) > nAfter || query.Before != nil
spans := make([]*ThreadSpan, 0, nBefore+nAfter)
for i := nBefore - 1; i >= 0; i-- {
spans = append(spans, newThreadSpan(traceID, &before[i]))
}
for i := range nAfter {
spans = append(spans, newThreadSpan(traceID, &after[i]))
}
thread := &GettableTraceThread{Spans: spans}
if len(spans) == 0 {
return thread
}
if hasPrev {
thread.PrevCursor = spans[0].cursor().Encode()
}
if hasNext {
thread.NextCursor = spans[len(spans)-1].cursor().Encode()
}
return thread
}
func (s *ThreadSpan) cursor() ThreadCursor {
return ThreadCursor{TimeUnixNano: s.timeUnixNano, SpanID: s.SpanID}
}
func newThreadSpan(traceID string, storable *StorableSpan) *ThreadSpan {
resources := make(map[string]string, len(storable.ResourcesString))
maps.Copy(resources, storable.ResourcesString)
timeUnixNano := uint64(storable.StartTime.UnixNano())
attributes := threadAttributes(storable)
span := &ThreadSpan{
SpanID: storable.SpanID,
TraceID: traceID,
ParentSpanID: storable.ParentSpanID,
Name: storable.Name,
KindString: storable.SpanKind,
TimeUnix: timeUnixNano / 1_000_000, // client expects millis, as in the waterfall
DurationNano: storable.DurationNano,
HasError: storable.HasError,
StatusCodeString: storable.StatusCodeString,
StatusMessage: storable.StatusMessage,
Resource: resources,
Attributes: attributes,
Events: storable.UnmarshalledEvents(),
References: storable.UnmarshalledRefs(),
timeUnixNano: timeUnixNano,
}
if v, ok := attributes[aiobservabilitytypes.GenAIInputMessages]; ok {
span.FormattedInput = genaimessages.Normalize(v)
}
if v, ok := attributes[aiobservabilitytypes.GenAIOutputMessages]; ok {
span.FormattedOutput = genaimessages.Normalize(v)
}
return span
}
// threadAttributes reads the JSON column and falls back to the legacy maps for spans written
// before the JSON rollout.
func threadAttributes(storable *StorableSpan) map[string]any {
if len(storable.AttributesJSON) > 0 {
attributes := make(map[string]any, len(storable.AttributesJSON))
storable.AttributesJSON.FlattenInto("", attributes)
return attributes
}
return storable.Attributes()
}

View File

@@ -1,121 +0,0 @@
package spantypes
import (
"testing"
"github.com/SigNoz/signoz/pkg/types/aiobservabilitytypes"
"github.com/SigNoz/signoz/pkg/types/telemetrystoretypes"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestNewThreadQuery_Cursor(t *testing.T) {
testCases := []struct {
name string
cursor string
want *ThreadCursor
wantErr bool
}{
{name: "EncodedCursor_RoundTrips", cursor: ThreadCursor{TimeUnixNano: 1757500000123456789, SpanID: "f1fa1bc863e94dd0"}.Encode(), want: &ThreadCursor{TimeUnixNano: 1757500000123456789, SpanID: "f1fa1bc863e94dd0"}},
{name: "NotBase64_Rejected", cursor: "not base64!", wantErr: true},
{name: "NotJSON_Rejected", cursor: "bm90IGpzb24", wantErr: true},
{name: "MissingSpanID_Rejected", cursor: "eyJ0aW1lVW5peE5hbm8iOiAxfQ", wantErr: true},
}
for _, testCase := range testCases {
t.Run(testCase.name, func(t *testing.T) {
after, err := NewThreadQuery(&GetTraceThreadParams{After: testCase.cursor})
before, errBefore := NewThreadQuery(&GetTraceThreadParams{Before: testCase.cursor})
if testCase.wantErr {
assert.Error(t, err)
assert.Error(t, errBefore)
return
}
require.NoError(t, err)
require.NoError(t, errBefore)
assert.Equal(t, testCase.want, after.After)
assert.Nil(t, after.Before)
assert.Equal(t, testCase.want, before.Before)
assert.Nil(t, before.After)
})
}
}
func TestThreadAttributes(t *testing.T) {
testCases := []struct {
name string
span StorableSpan
wantAttrs map[string]any
}{
{
name: "JSONColumnPresent_LegacyMapsIgnored",
span: StorableSpan{
AttributesJSON: telemetrystoretypes.JSONValue{"gen_ai": map[string]any{"request": map[string]any{"model": "json"}}},
AttributesString: map[string]string{"gen_ai.request.model": "map", "http.method": "GET"},
},
wantAttrs: map[string]any{"gen_ai.request.model": "json"},
},
{
name: "NoJSONColumn_FallsBackToLegacyMaps",
span: StorableSpan{
AttributesString: map[string]string{"gen_ai.output.messages": `[{"role":"assistant","content":"hello"}]`},
AttributesNumber: map[string]float64{"gen_ai.usage.input_tokens": 12},
AttributesBool: map[string]bool{"gen_ai.stream": true},
},
wantAttrs: map[string]any{
"gen_ai.output.messages": `[{"role":"assistant","content":"hello"}]`,
"gen_ai.usage.input_tokens": float64(12),
"gen_ai.stream": true,
},
},
}
for _, testCase := range testCases {
t.Run(testCase.name, func(t *testing.T) {
assert.Equal(t, testCase.wantAttrs, threadAttributes(&testCase.span))
})
}
}
func TestNewThreadSpan(t *testing.T) {
userHi := []aiobservabilitytypes.Message{{
Role: aiobservabilitytypes.MessageRoleUser,
Content: []aiobservabilitytypes.Part{{Type: aiobservabilitytypes.PartTypeText, Content: "hi"}},
}}
assistantHello := []aiobservabilitytypes.Message{{
Role: aiobservabilitytypes.MessageRoleAssistant,
Content: []aiobservabilitytypes.Part{{Type: aiobservabilitytypes.PartTypeText, Content: "hello"}},
FinishReason: aiobservabilitytypes.FinishReasonStop,
}}
testCases := []struct {
name string
span StorableSpan
wantInput []aiobservabilitytypes.Message
wantOutput []aiobservabilitytypes.Message
}{
{
name: "InputAndOutput_BothFormatted",
span: StorableSpan{AttributesJSON: telemetrystoretypes.JSONValue{"gen_ai": map[string]any{
"input": map[string]any{"messages": `[{"role":"user","parts":[{"type":"text","content":"hi"}]}]`},
"output": map[string]any{"messages": `[{"role":"assistant","parts":[{"type":"text","content":"hello"}],"finish_reason":"stop"}]`},
}}},
wantInput: userHi,
wantOutput: assistantHello,
},
{
name: "InputOnly_OutputUnset",
span: StorableSpan{AttributesJSON: telemetrystoretypes.JSONValue{"gen_ai": map[string]any{"input": map[string]any{"messages": `[{"role":"user","content":"hi"}]`}}}},
wantInput: userHi,
},
{
name: "NoMessages_BothUnset",
span: StorableSpan{AttributesJSON: telemetrystoretypes.JSONValue{"http": map[string]any{"method": "GET"}}},
},
}
for _, testCase := range testCases {
t.Run(testCase.name, func(t *testing.T) {
span := newThreadSpan("trace-1", &testCase.span)
assert.Equal(t, testCase.wantInput, span.FormattedInput)
assert.Equal(t, testCase.wantOutput, span.FormattedOutput)
})
}
}

View File

@@ -1,62 +0,0 @@
package spantypes
// TraceStats is the single-row result of the trace summary aggregate query.
type TraceStats struct {
StartNs uint64
EndNs uint64
RootServiceName string
RootEntryPoint string
RootSpanStatusCode string
TotalSpans uint64
TotalErrorSpans uint64
HasMissingSpans bool
GenAISpanCount uint64
Tokens TraceAITokens
TotalCost *float64
}
// GettableTraceSummary is the response for the trace summary API; the trace-level
// fields match the waterfall response.
type GettableTraceSummary struct {
StartTimestampMillis uint64 `json:"startTimestampMillis" required:"true"`
EndTimestampMillis uint64 `json:"endTimestampMillis" required:"true"`
RootServiceName string `json:"rootServiceName" required:"true"`
RootServiceEntryPoint string `json:"rootServiceEntryPoint" required:"true"`
RootSpanStatusCode string `json:"rootSpanStatusCode" required:"true"`
TotalSpansCount uint64 `json:"totalSpansCount" required:"true"`
TotalErrorSpansCount uint64 `json:"totalErrorSpansCount" required:"true"`
HasMissingSpans bool `json:"hasMissingSpans" required:"true"`
AI *TraceAISummary `json:"ai,omitempty"`
}
// TraceAISummary is present when any span carries a gen_ai gate key.
type TraceAISummary struct {
Tokens TraceAITokens `json:"tokens" required:"true"`
// TotalCost is omitted when no span carries a cost attribute.
TotalCost *float64 `json:"totalCost,omitempty" nullable:"false"`
}
type TraceAITokens struct {
Input uint64 `json:"input" required:"true"`
Output uint64 `json:"output" required:"true"`
CacheRead uint64 `json:"cacheRead" required:"true"`
CacheWrite uint64 `json:"cacheWrite" required:"true"`
Reasoning uint64 `json:"reasoning" required:"true"`
}
func NewGettableTraceSummary(stats *TraceStats) *GettableTraceSummary {
summary := &GettableTraceSummary{
StartTimestampMillis: stats.StartNs / 1_000_000,
EndTimestampMillis: stats.EndNs / 1_000_000,
RootServiceName: stats.RootServiceName,
RootServiceEntryPoint: stats.RootEntryPoint,
RootSpanStatusCode: stats.RootSpanStatusCode,
TotalSpansCount: stats.TotalSpans,
TotalErrorSpansCount: stats.TotalErrorSpans,
HasMissingSpans: stats.HasMissingSpans,
}
if stats.GenAISpanCount > 0 {
summary.AI = &TraceAISummary{Tokens: stats.Tokens, TotalCost: stats.TotalCost}
}
return summary
}

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