chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:20:55 +08:00
commit d25d482dc2
13754 changed files with 4996608 additions and 0 deletions
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import type { QuiverImageToSvgParams, QuiverSvgResponse } from '@/tools/quiver/types'
import type { ToolConfig } from '@/tools/types'
export const quiverImageToSvgTool: ToolConfig<QuiverImageToSvgParams, QuiverSvgResponse> = {
id: 'quiver_image_to_svg',
name: 'Quiver Image to SVG',
description: 'Convert raster images into vector SVG format using QuiverAI',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'QuiverAI API key',
},
model: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'The model to use for vectorization (e.g., "arrow-preview")',
},
image: {
type: 'file',
required: true,
visibility: 'user-or-llm',
description: 'The raster image to vectorize into SVG',
},
temperature: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Sampling temperature (0-2, default 1)',
},
top_p: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Nucleus sampling probability (0-1, default 1)',
},
max_output_tokens: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Maximum output tokens (1-131072)',
},
presence_penalty: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Token penalty for prior output (-2 to 2, default 0)',
},
auto_crop: {
type: 'boolean',
required: false,
visibility: 'user-or-llm',
description: 'Automatically crop the image before vectorizing',
},
target_size: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Square resize target in pixels (128-4096)',
},
},
request: {
url: '/api/tools/quiver/image-to-svg',
method: 'POST',
headers: () => ({ 'Content-Type': 'application/json' }),
body: (params) => ({
apiKey: params.apiKey,
model: params.model,
image: params.image,
temperature: params.temperature,
top_p: params.top_p,
max_output_tokens: params.max_output_tokens,
presence_penalty: params.presence_penalty,
auto_crop: params.auto_crop,
target_size: params.target_size,
}),
},
transformResponse: async (response) => {
const data = await response.json()
if (!data.success) {
throw new Error(data.error || 'Failed to vectorize image')
}
return data
},
outputs: {
success: { type: 'boolean', description: 'Whether the vectorization succeeded' },
output: {
type: 'object',
description: 'Vectorized SVG output',
properties: {
file: {
type: 'file',
description: 'Generated SVG file',
},
svgContent: {
type: 'string',
description: 'Raw SVG markup content',
},
id: {
type: 'string',
description: 'Vectorization request ID',
},
usage: {
type: 'json',
description: 'Token usage statistics',
properties: {
totalTokens: { type: 'number', description: 'Total tokens used' },
inputTokens: { type: 'number', description: 'Input tokens used' },
outputTokens: { type: 'number', description: 'Output tokens used' },
},
},
},
},
},
}
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export { quiverImageToSvgTool } from '@/tools/quiver/image_to_svg'
export { quiverListModelsTool } from '@/tools/quiver/list_models'
export { quiverTextToSvgTool } from '@/tools/quiver/text_to_svg'
export * from '@/tools/quiver/types'
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import type { QuiverListModelsParams, QuiverListModelsResponse } from '@/tools/quiver/types'
import type { ToolConfig } from '@/tools/types'
export const quiverListModelsTool: ToolConfig<QuiverListModelsParams, QuiverListModelsResponse> = {
id: 'quiver_list_models',
name: 'Quiver List Models',
description: 'List all available QuiverAI models',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'QuiverAI API key',
},
},
request: {
url: 'https://api.quiver.ai/v1/models',
method: 'GET',
headers: (params) => ({
Authorization: `Bearer ${params.apiKey}`,
}),
},
transformResponse: async (response) => {
if (!response.ok) {
let message = `Quiver API error: ${response.status}`
try {
const errorData = await response.json()
message = errorData.message || message
} catch {
// Non-JSON error body (e.g. HTML from gateway)
}
throw new Error(message)
}
const data = await response.json()
const models = (data.data ?? []).map(
(model: {
id: string
name: string
description: string
created: number
owned_by: string
input_modalities: string[]
output_modalities: string[]
context_length: number
max_output_length: number
supported_operations: string[]
supported_sampling_parameters: string[]
}) => ({
id: model.id ?? null,
name: model.name ?? null,
description: model.description ?? null,
created: model.created ?? null,
ownedBy: model.owned_by ?? null,
inputModalities: model.input_modalities ?? [],
outputModalities: model.output_modalities ?? [],
contextLength: model.context_length ?? null,
maxOutputLength: model.max_output_length ?? null,
supportedOperations: model.supported_operations ?? [],
supportedSamplingParameters: model.supported_sampling_parameters ?? [],
})
)
return {
success: true,
output: {
models,
},
}
},
outputs: {
success: { type: 'boolean', description: 'Whether the request succeeded' },
output: {
type: 'object',
description: 'Available models',
properties: {
models: {
type: 'json',
description: 'List of available QuiverAI models',
properties: {
id: { type: 'string', description: 'Model identifier' },
name: { type: 'string', description: 'Human-readable model name' },
description: { type: 'string', description: 'Model capabilities summary' },
created: { type: 'number', description: 'Unix timestamp of creation' },
ownedBy: { type: 'string', description: 'Organization that owns the model' },
inputModalities: {
type: 'json',
description: 'Supported input types (text, image, svg)',
},
outputModalities: {
type: 'json',
description: 'Supported output types (text, image, svg)',
},
contextLength: { type: 'number', description: 'Maximum context window' },
maxOutputLength: { type: 'number', description: 'Maximum generation length' },
supportedOperations: {
type: 'json',
description:
'Available operations (svg_generate, svg_edit, svg_animate, svg_vectorize, chat_completions)',
},
supportedSamplingParameters: {
type: 'json',
description:
'Supported sampling parameters (temperature, top_p, top_k, repetition_penalty, presence_penalty, stop)',
},
},
},
},
},
},
}
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import type { QuiverSvgResponse, QuiverTextToSvgParams } from '@/tools/quiver/types'
import type { ToolConfig } from '@/tools/types'
export const quiverTextToSvgTool: ToolConfig<QuiverTextToSvgParams, QuiverSvgResponse> = {
id: 'quiver_text_to_svg',
name: 'Quiver Text to SVG',
description: 'Generate SVG images from text prompts using QuiverAI',
version: '1.0.0',
params: {
apiKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'QuiverAI API key',
},
prompt: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'A text description of the desired SVG',
},
model: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'The model to use for SVG generation (e.g., "arrow-preview")',
},
instructions: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Style or formatting guidance for the SVG output',
},
references: {
type: 'file',
required: false,
visibility: 'user-or-llm',
description: 'Reference images to guide SVG generation (up to 4)',
},
n: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Number of SVGs to generate (1-16, default 1)',
},
temperature: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Sampling temperature (0-2, default 1)',
},
top_p: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Nucleus sampling probability (0-1, default 1)',
},
max_output_tokens: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Maximum output tokens (1-131072)',
},
presence_penalty: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Token penalty for prior output (-2 to 2, default 0)',
},
},
request: {
url: '/api/tools/quiver/text-to-svg',
method: 'POST',
headers: () => ({ 'Content-Type': 'application/json' }),
body: (params) => ({
apiKey: params.apiKey,
prompt: params.prompt,
model: params.model,
instructions: params.instructions,
references: params.references,
n: params.n,
temperature: params.temperature,
top_p: params.top_p,
max_output_tokens: params.max_output_tokens,
presence_penalty: params.presence_penalty,
}),
},
transformResponse: async (response) => {
const data = await response.json()
if (!data.success) {
throw new Error(data.error || 'Failed to generate SVG')
}
return data
},
outputs: {
success: { type: 'boolean', description: 'Whether the SVG generation succeeded' },
output: {
type: 'object',
description: 'Generated SVG output',
properties: {
file: {
type: 'file',
description: 'First generated SVG file',
},
files: {
type: 'json',
description: 'All generated SVG files (when n > 1)',
},
svgContent: {
type: 'string',
description: 'Raw SVG markup content of the first result',
},
id: {
type: 'string',
description: 'Generation request ID',
},
usage: {
type: 'json',
description: 'Token usage statistics',
properties: {
totalTokens: { type: 'number', description: 'Total tokens used' },
inputTokens: { type: 'number', description: 'Input tokens used' },
outputTokens: { type: 'number', description: 'Output tokens used' },
},
},
},
},
},
}
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import type { ToolResponse } from '@/tools/types'
export interface QuiverTextToSvgParams {
apiKey: string
prompt: string
model: string
instructions?: string
references?: unknown
n?: number
temperature?: number
top_p?: number
max_output_tokens?: number
presence_penalty?: number
}
export interface QuiverImageToSvgParams {
apiKey: string
model: string
image: unknown
temperature?: number
top_p?: number
max_output_tokens?: number
presence_penalty?: number
auto_crop?: boolean
target_size?: number
}
export interface QuiverListModelsParams {
apiKey: string
}
export interface QuiverSvgResponse extends ToolResponse {
output: {
file: {
name: string
mimeType: string
data: string
size: number
}
files: Array<{
name: string
mimeType: string
data: string
size: number
}>
svgContent: string
id: string
usage: {
totalTokens: number
inputTokens: number
outputTokens: number
} | null
}
}
export interface QuiverListModelsResponse extends ToolResponse {
output: {
models: Array<{
id: string
name: string
description: string
created: number | null
ownedBy: string | null
inputModalities: string[]
outputModalities: string[]
contextLength: number | null
maxOutputLength: number | null
supportedOperations: string[]
supportedSamplingParameters: string[]
}>
}
}