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

101 lines
2.6 KiB
TypeScript

import type {
CodePipelineStopExecutionParams,
CodePipelineStopExecutionResponse,
} from '@/tools/codepipeline/types'
import type { ToolConfig } from '@/tools/types'
export const stopExecutionTool: ToolConfig<
CodePipelineStopExecutionParams,
CodePipelineStopExecutionResponse
> = {
id: 'codepipeline_stop_execution',
name: 'CodePipeline Stop Execution',
description:
'Stop a CodePipeline pipeline execution, either finishing in-progress actions or abandoning them',
version: '1.0.0',
params: {
awsRegion: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS region (e.g., us-east-1)',
},
awsAccessKeyId: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS access key ID',
},
awsSecretAccessKey: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'AWS secret access key',
},
pipelineName: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Name of the pipeline',
},
pipelineExecutionId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'ID of the pipeline execution to stop',
},
abandon: {
type: 'boolean',
required: false,
visibility: 'user-or-llm',
description: 'Abandon in-progress actions instead of letting them finish (default false)',
},
reason: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Reason for stopping the execution (max 200 characters)',
},
},
request: {
url: '/api/tools/codepipeline/stop-execution',
method: 'POST',
headers: () => ({
'Content-Type': 'application/json',
}),
body: (params) => ({
region: params.awsRegion,
accessKeyId: params.awsAccessKeyId,
secretAccessKey: params.awsSecretAccessKey,
pipelineName: params.pipelineName,
pipelineExecutionId: params.pipelineExecutionId,
...(params.abandon !== undefined && { abandon: params.abandon }),
...(params.reason && { reason: params.reason }),
}),
},
transformResponse: async (response: Response) => {
const data = await response.json()
if (!response.ok) {
throw new Error(data.error || 'Failed to stop CodePipeline pipeline execution')
}
return {
success: true,
output: {
pipelineExecutionId: data.output.pipelineExecutionId,
},
}
},
outputs: {
pipelineExecutionId: {
type: 'string',
description: 'ID of the pipeline execution that was stopped',
},
},
}