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Doc Update (#129)
* init update * Update terminology.rst * fix the branch to create an index.html, and fix pre-commit issues * Doc update * made several changes to the docs after Shuguang's revision * fixing pre-commit issues * fixed the reference file to the final prompt config file * added google analytics --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local>
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version: "0.1-beta"
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listen:
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address: 127.0.0.1 | 0.0.0.0
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port_value: 8080 #If you configure port 443, you'll need to update the listener with tls_certificates
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system_prompt: |
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You are a network assistant that just offers facts; not advice on manufacturers or purchasing decisions.
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llm_providers:
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- name: "OpenAI"
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provider: "openai"
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access_key: OPENAI_API_KEY
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model: gpt-4o
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stream: true
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prompt_targets:
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- name: reboot_devices
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description: >
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This prompt target handles user requests to reboot devices.
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It ensures that when users request to reboot specific devices or device groups, the system processes the reboot commands accurately.
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**Examples of user prompts:**
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- "Please reboot device 12345."
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- "Restart all devices in tenant group tenant-XYZ
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- "I need to reboot devices A, B, and C."
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path: /agent/device_reboot
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parameters:
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- name: "device_ids"
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type: list # Options: integer | float | list | dictionary | set
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description: "A list of device identifiers (IDs) to reboot."
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required: false
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- name: "device_group"
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type: string # Options: string | integer | float | list | dictionary | set
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description: "The name of the device group to reboot."
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required: false
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# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
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endpoints:
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app_server:
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# value could be ip address or a hostname with port
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# this could also be a list of endpoints for load balancing
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# for example endpoint: [ ip1:port, ip2:port ]
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endpoint: "127.0.0.1:80"
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# max time to wait for a connection to be established
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connect_timeout: 0.005s
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from flask import Flask, request, jsonify
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app = Flask(__name__)
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@app.route('/agent/device_summary', methods=['POST'])
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def get_device_summary():
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"""
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Endpoint to retrieve device statistics based on device IDs and an optional time range.
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"""
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data = request.get_json()
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# Validate 'device_ids' parameter
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device_ids = data.get('device_ids')
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if not device_ids or not isinstance(device_ids, list):
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return jsonify({'error': "'device_ids' parameter is required and must be a list"}), 400
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# Validate 'time_range' parameter (optional, defaults to 7)
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time_range = data.get('time_range', 7)
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if not isinstance(time_range, int):
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return jsonify({'error': "'time_range' must be an integer"}), 400
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# Simulate retrieving statistics for the given device IDs and time range
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# In a real application, you would query your database or external service here
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statistics = []
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for device_id in device_ids:
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# Placeholder for actual data retrieval
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stats = {
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'device_id': device_id,
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'time_range': f'Last {time_range} days',
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'data': f'Statistics data for device {device_id} over the last {time_range} days.'
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}
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statistics.append(stats)
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response = {
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'statistics': statistics
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}
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return jsonify(response), 200
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if __name__ == '__main__':
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app.run(debug=True)
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