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simstudioai--sim/apps/sim/tools/dspy/chain_of_thought.ts
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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

110 lines
3.1 KiB
TypeScript

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())',
},
},
}