chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,109 @@
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import type { DSPyChainOfThoughtParams, DSPyChainOfThoughtResponse } from '@/tools/dspy/types'
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import type { ToolConfig } from '@/tools/types'
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export const chainOfThoughtTool: ToolConfig<DSPyChainOfThoughtParams, DSPyChainOfThoughtResponse> =
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{
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id: 'dspy_chain_of_thought',
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name: 'DSPy Chain of Thought',
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||||
description:
|
||||
'Run a Chain of Thought prediction using a self-hosted DSPy ChainOfThought program endpoint',
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||||
version: '1.0.0',
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||||
|
||||
params: {
|
||||
baseUrl: {
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||||
type: 'string',
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||||
required: true,
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||||
visibility: 'user-only',
|
||||
description: 'Base URL of the DSPy server (e.g., https://your-dspy-server.com)',
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},
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apiKey: {
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type: 'string',
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required: false,
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||||
visibility: 'user-only',
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description: 'API key for authentication (if required by your server)',
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},
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endpoint: {
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type: 'string',
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required: false,
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visibility: 'user-only',
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description: 'API endpoint path (defaults to /predict)',
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},
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question: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The question to answer using chain of thought reasoning',
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},
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context: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Additional context to provide for answering the question',
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},
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},
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request: {
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method: 'POST',
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url: (params) => {
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const baseUrl = params.baseUrl.replace(/\/$/, '')
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const endpoint = params.endpoint || '/predict'
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return `${baseUrl}${endpoint}`
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},
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headers: (params) => {
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const headers: Record<string, string> = {
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'Content-Type': 'application/json',
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}
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if (params.apiKey) {
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headers.Authorization = `Bearer ${params.apiKey}`
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}
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return headers
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},
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body: (params) => {
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const body: Record<string, unknown> = {
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text: params.question,
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}
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if (params.context) {
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body.context = params.context
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}
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return body
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||||
},
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},
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transformResponse: async (response: Response) => {
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const data = await response.json()
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const status = data.status ?? 'success'
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const outputData = data.data ?? data
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return {
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success: true,
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output: {
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answer: outputData.answer ?? outputData.output ?? outputData.response ?? '',
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reasoning: outputData.reasoning ?? outputData.rationale ?? outputData.thought ?? '',
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status,
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rawOutput: outputData,
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},
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}
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},
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outputs: {
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answer: {
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type: 'string',
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description: 'The answer generated through chain of thought reasoning',
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},
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reasoning: {
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type: 'string',
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description: 'The step-by-step reasoning that led to the answer',
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},
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status: {
|
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type: 'string',
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||||
description: 'Response status from the DSPy server (success or error)',
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},
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rawOutput: {
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type: 'json',
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description: 'The complete raw output from the DSPy program (result.toDict())',
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},
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},
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}
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@@ -0,0 +1,4 @@
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export { chainOfThoughtTool } from '@/tools/dspy/chain_of_thought'
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export { predictTool } from '@/tools/dspy/predict'
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export { reactTool } from '@/tools/dspy/react'
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export * from '@/tools/dspy/types'
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@@ -0,0 +1,125 @@
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import type { DSPyPredictParams, DSPyPredictResponse } from '@/tools/dspy/types'
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import type { ToolConfig } from '@/tools/types'
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export const predictTool: ToolConfig<DSPyPredictParams, DSPyPredictResponse> = {
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id: 'dspy_predict',
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name: 'DSPy Predict',
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description: 'Run a prediction using a self-hosted DSPy program endpoint',
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version: '1.0.0',
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params: {
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baseUrl: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Base URL of the DSPy server (e.g., https://your-dspy-server.com)',
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},
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apiKey: {
|
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type: 'string',
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required: false,
|
||||
visibility: 'user-only',
|
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description: 'API key for authentication (if required by your server)',
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},
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endpoint: {
|
||||
type: 'string',
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required: false,
|
||||
visibility: 'user-only',
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description: 'API endpoint path (defaults to /predict)',
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},
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input: {
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type: 'string',
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required: true,
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||||
visibility: 'user-or-llm',
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description: 'The input text to send to the DSPy program',
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},
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inputField: {
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type: 'string',
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||||
required: false,
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||||
visibility: 'user-only',
|
||||
description: 'Name of the input field expected by the DSPy program (defaults to "text")',
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},
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context: {
|
||||
type: 'string',
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||||
required: false,
|
||||
visibility: 'user-or-llm',
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description: 'Additional context to provide to the DSPy program',
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},
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additionalInputs: {
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type: 'json',
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required: false,
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visibility: 'user-or-llm',
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description: 'Additional key-value pairs to include in the request body',
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},
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||||
},
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||||
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request: {
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method: 'POST',
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url: (params) => {
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const baseUrl = params.baseUrl.replace(/\/$/, '')
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const endpoint = params.endpoint || '/predict'
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return `${baseUrl}${endpoint}`
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},
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headers: (params) => {
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const headers: Record<string, string> = {
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||||
'Content-Type': 'application/json',
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}
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if (params.apiKey) {
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headers.Authorization = `Bearer ${params.apiKey}`
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}
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return headers
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||||
},
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body: (params) => {
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const inputField = params.inputField || 'text'
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const body: Record<string, unknown> = {
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[inputField]: params.input,
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}
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|
||||
if (params.context) {
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body.context = params.context
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}
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|
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if (params.additionalInputs) {
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Object.assign(body, params.additionalInputs)
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}
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||||
|
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return body
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||||
},
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},
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||||
|
||||
transformResponse: async (response: Response) => {
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||||
const data = await response.json()
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||||
|
||||
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',
|
||||
},
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||||
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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||||
},
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||||
},
|
||||
}
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@@ -0,0 +1,156 @@
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import type { DSPyReActParams, DSPyReActResponse } from '@/tools/dspy/types'
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import { parseTrajectory } from '@/tools/dspy/utils'
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import type { ToolConfig } from '@/tools/types'
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export const reactTool: ToolConfig<DSPyReActParams, DSPyReActResponse> = {
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id: 'dspy_react',
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name: 'DSPy ReAct',
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description:
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'Run a ReAct agent using a self-hosted DSPy ReAct program endpoint for multi-step reasoning and action',
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version: '1.0.0',
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||||
|
||||
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)',
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||||
},
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||||
endpoint: {
|
||||
type: 'string',
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required: false,
|
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visibility: 'user-only',
|
||||
description: 'API endpoint path (defaults to /predict)',
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},
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task: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'The task or question for the ReAct agent to work on',
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},
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context: {
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||||
type: 'string',
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||||
required: false,
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visibility: 'user-or-llm',
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description: 'Additional context to provide for the task',
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||||
},
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||||
maxIterations: {
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||||
type: 'number',
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required: false,
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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
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||||
},
|
||||
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())',
|
||||
},
|
||||
},
|
||||
}
|
||||
@@ -0,0 +1,84 @@
|
||||
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>
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,28 @@
|
||||
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
|
||||
}
|
||||
Reference in New Issue
Block a user