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b63a01fe82
* staging my changes to re-based from main * adding debug statements to rust * merged with main * ready to push network agent * removed the incomplete sql example --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local>
71 lines
2.3 KiB
YAML
71 lines
2.3 KiB
YAML
version: v0.1
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listener:
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address: 127.0.0.1
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port: 8080 #If you configure port 443, you'll need to update the listener with tls_certificates
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message_format: huggingface
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# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
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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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default: true
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# default system prompt used by all prompt targets
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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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prompt_targets:
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- name: reboot_devices
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description: Reboot specific devices or device groups
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endpoint:
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name: app_server
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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
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description: A list of device identifiers (IDs) to reboot.
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required: true
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- name: time_range
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type: int
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description: Optional time range in days for reboot operations. Defaults to 7.
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- name: network_qa
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endpoint:
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name: app_server
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path: /agent/network_summary
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description: Handle general Q/A related to networking.
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default: true
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- name: device_summary
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description: Retrieve statistics for specific devices within a time range
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endpoint:
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name: app_server
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path: /agent/device_summary
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parameters:
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- name: device_ids
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type: list
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description: A list of device identifiers (IDs) to retrieve statistics for.
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required: true # device_ids are required to get device statistics
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- name: time_range
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type: int
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description: Time range in days for which to gather device statistics. Defaults to 7.
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default: "7"
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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: host.docker.internal:18083
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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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ratelimits:
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- model: gpt-4
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selector:
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key: selector-key
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value: selector-value
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limit:
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tokens: 1
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unit: minute
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