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Task Memory Orchestrator

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Task Memory Orchestrator

Task Memory Orchestrator

Under maintenance

Developed by

Tri⟁angle

Tri⟁angle

Maintained by Community

0.0 (0)

Pricing

Pay per usage

0

Total users

1

Monthly users

1

Last modified

10 days ago

You can access the Task Memory Orchestrator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"components": {
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"properties": {
"taskIds": {
"title": "Tasks",
"type": "array",
"description": "Task IDs or names to run.",
"items": {
"type": "string"
}
},
"memoryBufferMB": {
"title": "Memory buffer",
"minimum": 0,
"type": "integer",
"description": "Enter the memory buffer in MB.\nSpecify how much memory can be used in parallel in addition to orchestrator and orchestrated tasks.",
"default": 5120
},
"activeJobBuffer": {
"title": "Active Job Buffer",
"minimum": 0,
"type": "integer",
"description": "Enter the active job buffer.\nSpecify how many active jobs can run in parallel in addition to orchestrator and orchestrated tasks.",
"default": 2
},
"maxActiveJobs": {
"title": "Fixed Max Active Tasks",
"minimum": 2,
"type": "integer",
"description": "Enter the maximum active tasks ran by orchestrator at once.\nFor safety - the number of active task has orchestrator run included."
},
"maxUsageMB": {
"title": "Fixed Max Memory",
"minimum": 256,
"type": "integer",
"description": "Enter the maximum memory in MB used by orchestrator and tasks at once."
}
}
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"format": "date-time",
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"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"status": {
"type": "string",
"example": "READY"
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"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
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}
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"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
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"rebootCount": {
"type": "integer",
"example": 0
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"restartCount": {
"type": "integer",
"example": 0
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"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
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"buildId": {
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"type": "string"
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"buildNumber": {
"type": "string",
"example": "1.0.0"
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"containerUrl": {
"type": "string"
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"usage": {
"type": "object",
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"type": "integer",
"example": 0
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"DATASET_READS": {
"type": "integer",
"example": 0
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"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
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"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
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"usageTotalUsd": {
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"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
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"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
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}

Task Memory Orchestrator OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Task Memory Orchestrator from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: