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 { DSPyChainOfThoughtParams, DSPyChainOfThoughtResponse } from '@/tools/dspy/types'
import type { ToolConfig } from '@/tools/types'
export const chainOfThoughtTool: ToolConfig<DSPyChainOfThoughtParams, DSPyChainOfThoughtResponse> =
{
id: 'dspy_chain_of_thought',
name: 'DSPy Chain of Thought',
description:
'Run a Chain of Thought prediction using a self-hosted DSPy ChainOfThought program endpoint',
version: '1.0.0',
params: {
baseUrl: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Base URL of the DSPy server (e.g., https://your-dspy-server.com)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API key for authentication (if required by your server)',
},
endpoint: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API endpoint path (defaults to /predict)',
},
question: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'The question to answer using chain of thought reasoning',
},
context: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Additional context to provide for answering the question',
},
},
request: {
method: 'POST',
url: (params) => {
const baseUrl = params.baseUrl.replace(/\/$/, '')
const endpoint = params.endpoint || '/predict'
return `${baseUrl}${endpoint}`
},
headers: (params) => {
const headers: Record<string, string> = {
'Content-Type': 'application/json',
}
if (params.apiKey) {
headers.Authorization = `Bearer ${params.apiKey}`
}
return headers
},
body: (params) => {
const body: Record<string, unknown> = {
text: params.question,
}
if (params.context) {
body.context = params.context
}
return body
},
},
transformResponse: async (response: Response) => {
const data = await response.json()
const status = data.status ?? 'success'
const outputData = data.data ?? data
return {
success: true,
output: {
answer: outputData.answer ?? outputData.output ?? outputData.response ?? '',
reasoning: outputData.reasoning ?? outputData.rationale ?? outputData.thought ?? '',
status,
rawOutput: outputData,
},
}
},
outputs: {
answer: {
type: 'string',
description: 'The answer generated through chain of thought reasoning',
},
reasoning: {
type: 'string',
description: 'The step-by-step reasoning that led to the answer',
},
status: {
type: 'string',
description: 'Response status from the DSPy server (success or error)',
},
rawOutput: {
type: 'json',
description: 'The complete raw output from the DSPy program (result.toDict())',
},
},
}
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export { chainOfThoughtTool } from '@/tools/dspy/chain_of_thought'
export { predictTool } from '@/tools/dspy/predict'
export { reactTool } from '@/tools/dspy/react'
export * from '@/tools/dspy/types'
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import type { DSPyPredictParams, DSPyPredictResponse } from '@/tools/dspy/types'
import type { ToolConfig } from '@/tools/types'
export const predictTool: ToolConfig<DSPyPredictParams, DSPyPredictResponse> = {
id: 'dspy_predict',
name: 'DSPy Predict',
description: 'Run a prediction using a self-hosted DSPy program endpoint',
version: '1.0.0',
params: {
baseUrl: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Base URL of the DSPy server (e.g., https://your-dspy-server.com)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API key for authentication (if required by your server)',
},
endpoint: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API endpoint path (defaults to /predict)',
},
input: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'The input text to send to the DSPy program',
},
inputField: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Name of the input field expected by the DSPy program (defaults to "text")',
},
context: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Additional context to provide to the DSPy program',
},
additionalInputs: {
type: 'json',
required: false,
visibility: 'user-or-llm',
description: 'Additional key-value pairs to include in the request body',
},
},
request: {
method: 'POST',
url: (params) => {
const baseUrl = params.baseUrl.replace(/\/$/, '')
const endpoint = params.endpoint || '/predict'
return `${baseUrl}${endpoint}`
},
headers: (params) => {
const headers: Record<string, string> = {
'Content-Type': 'application/json',
}
if (params.apiKey) {
headers.Authorization = `Bearer ${params.apiKey}`
}
return headers
},
body: (params) => {
const inputField = params.inputField || 'text'
const body: Record<string, unknown> = {
[inputField]: params.input,
}
if (params.context) {
body.context = params.context
}
if (params.additionalInputs) {
Object.assign(body, params.additionalInputs)
}
return body
},
},
transformResponse: async (response: Response) => {
const data = await response.json()
const status = data.status ?? 'success'
const outputData = data.data ?? data
return {
success: true,
output: {
answer: outputData.answer ?? outputData.output ?? outputData.response ?? '',
reasoning: outputData.reasoning ?? outputData.rationale ?? null,
status,
rawOutput: outputData,
},
}
},
outputs: {
answer: {
type: 'string',
description: 'The main output/answer from the DSPy program',
},
reasoning: {
type: 'string',
description: 'The reasoning or rationale behind the answer (if available)',
optional: true,
},
status: {
type: 'string',
description: 'Response status from the DSPy server (success or error)',
},
rawOutput: {
type: 'json',
description: 'The complete raw output from the DSPy program (result.toDict())',
},
},
}
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import type { DSPyReActParams, DSPyReActResponse } from '@/tools/dspy/types'
import { parseTrajectory } from '@/tools/dspy/utils'
import type { ToolConfig } from '@/tools/types'
export const reactTool: ToolConfig<DSPyReActParams, DSPyReActResponse> = {
id: 'dspy_react',
name: 'DSPy ReAct',
description:
'Run a ReAct agent using a self-hosted DSPy ReAct program endpoint for multi-step reasoning and action',
version: '1.0.0',
params: {
baseUrl: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Base URL of the DSPy server (e.g., https://your-dspy-server.com)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API key for authentication (if required by your server)',
},
endpoint: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'API endpoint path (defaults to /predict)',
},
task: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'The task or question for the ReAct agent to work on',
},
context: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Additional context to provide for the task',
},
maxIterations: {
type: 'number',
required: false,
visibility: 'user-only',
description: 'Maximum number of reasoning iterations (defaults to server setting)',
},
},
request: {
method: 'POST',
url: (params) => {
const baseUrl = params.baseUrl.replace(/\/$/, '')
const endpoint = params.endpoint || '/predict'
return `${baseUrl}${endpoint}`
},
headers: (params) => {
const headers: Record<string, string> = {
'Content-Type': 'application/json',
}
if (params.apiKey) {
headers.Authorization = `Bearer ${params.apiKey}`
}
return headers
},
body: (params) => {
const body: Record<string, unknown> = {
text: params.task,
}
if (params.context) {
body.context = params.context
}
if (params.maxIterations !== undefined) {
body.max_iters = params.maxIterations
}
return body
},
},
transformResponse: async (response: Response) => {
const data = await response.json()
const status = data.status ?? 'success'
const outputData = data.data ?? data
const rawTrajectory = outputData.trajectory ?? {}
const trajectory = Array.isArray(rawTrajectory)
? rawTrajectory.map((step: Record<string, unknown>) => ({
thought: (step.thought as string) ?? (step.reasoning as string) ?? '',
toolName: (step.tool_name as string) ?? (step.selected_fn as string) ?? '',
toolArgs:
(step.tool_args as Record<string, unknown>) ??
(step.args as Record<string, unknown>) ??
{},
observation: step.observation !== undefined ? String(step.observation) : null,
}))
: parseTrajectory(rawTrajectory)
return {
success: true,
output: {
answer:
outputData.answer ??
outputData.process_result ??
outputData.output ??
outputData.response ??
'',
reasoning: outputData.reasoning ?? null,
trajectory,
status,
rawOutput: outputData,
},
}
},
outputs: {
answer: {
type: 'string',
description: 'The final answer or result from the ReAct agent',
},
reasoning: {
type: 'string',
description: 'The overall reasoning summary from the agent',
optional: true,
},
trajectory: {
type: 'array',
description: 'The step-by-step trajectory of thoughts, actions, and observations',
items: {
type: 'object',
properties: {
thought: { type: 'string', description: 'The reasoning thought at this step' },
toolName: { type: 'string', description: 'The name of the tool/action called' },
toolArgs: { type: 'json', description: 'Arguments passed to the tool' },
observation: {
type: 'string',
description: 'The observation/result from the tool execution',
optional: true,
},
},
},
},
status: {
type: 'string',
description: 'Response status from the DSPy server (success or error)',
},
rawOutput: {
type: 'json',
description: 'The complete raw output from the DSPy program (result.toDict())',
},
},
}
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import type { ToolResponse } from '@/tools/types'
/**
* Parameters for running a DSPy prediction
*/
export interface DSPyPredictParams {
baseUrl: string
apiKey?: string
endpoint?: string
input: string
inputField?: string
context?: string
additionalInputs?: Record<string, unknown>
}
/**
* Response from a DSPy prediction
*/
export interface DSPyPredictResponse extends ToolResponse {
output: {
answer: string
reasoning: string | null
status: string
rawOutput: Record<string, unknown>
}
}
/**
* Parameters for running a DSPy Chain of Thought prediction
*/
export interface DSPyChainOfThoughtParams {
baseUrl: string
apiKey?: string
endpoint?: string
question: string
context?: string
}
/**
* Response from a DSPy Chain of Thought prediction
*/
export interface DSPyChainOfThoughtResponse extends ToolResponse {
output: {
answer: string
reasoning: string
status: string
rawOutput: Record<string, unknown>
}
}
/**
* Parameters for running a DSPy ReAct agent
*/
export interface DSPyReActParams {
baseUrl: string
apiKey?: string
endpoint?: string
task: string
context?: string
maxIterations?: number
}
/**
* ReAct trajectory step structure (matches DSPy output format)
*/
export interface DSPyTrajectoryStep {
thought: string
toolName: string
toolArgs: Record<string, unknown>
observation: string | null
}
/**
* Response from a DSPy ReAct agent
*/
export interface DSPyReActResponse extends ToolResponse {
output: {
answer: string
reasoning: string | null
trajectory: DSPyTrajectoryStep[]
status: string
rawOutput: Record<string, unknown>
}
}
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import type { DSPyTrajectoryStep } from '@/tools/dspy/types'
/**
* Parse DSPy ReAct trajectory format into structured steps
* DSPy trajectory format: { thought_0, tool_name_0, tool_args_0, observation_0, thought_1, ... }
*/
export function parseTrajectory(trajectory: Record<string, unknown>): DSPyTrajectoryStep[] {
const steps: DSPyTrajectoryStep[] = []
let idx = 0
while (
trajectory[`thought_${idx}`] !== undefined ||
trajectory[`tool_name_${idx}`] !== undefined
) {
steps.push({
thought: (trajectory[`thought_${idx}`] as string) ?? '',
toolName: (trajectory[`tool_name_${idx}`] as string) ?? '',
toolArgs: (trajectory[`tool_args_${idx}`] as Record<string, unknown>) ?? {},
observation:
trajectory[`observation_${idx}`] !== undefined
? String(trajectory[`observation_${idx}`])
: null,
})
idx++
}
return steps
}