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2c67fa3bc0
* Fix llm_routing provider element We replaced provider with provider_interface to make it more clear to developers about provider api/backend being used. During that upgrade we removed support for mistral in provider to encourage developers to start using provider_interface. But this demo was not updated to use provider_interface as it was using mistral. This code change fixes it by replacing provider with provider_interface. Signed-off-by: Adil Hafeez <adil.hafeez@gmail.com> * fix the path * move * add more details * fix * Apply suggestions from code review * fix * fix --------- Signed-off-by: Adil Hafeez <adil.hafeez@gmail.com>
69 lines
1.8 KiB
YAML
69 lines
1.8 KiB
YAML
version: "0.1-beta"
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listener:
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address: 0.0.0.0
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port: 10000
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message_format: huggingface
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connect_timeout: 0.005s
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endpoints:
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weather_forecast_service:
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endpoint: host.docker.internal:51001
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connect_timeout: 0.005s
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llm_providers:
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- name: gpt-4o-mini
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access_key: $OPENAI_API_KEY
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provider_interface: openai
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model: gpt-4o-mini
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default: true
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- name: gpt-3.5-turbo-0125
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access_key: $OPENAI_API_KEY
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provider_interface: openai
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model: gpt-3.5-turbo-0125
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- name: gpt-4o
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access_key: $OPENAI_API_KEY
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provider_interface: openai
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model: gpt-4o
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system_prompt: |
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You are a helpful assistant.
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prompt_guards:
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input_guards:
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jailbreak:
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on_exception:
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message: Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting.
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prompt_targets:
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- name: get_current_weather
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description: Get current weather at a location.
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parameters:
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- name: location
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description: The location to get the weather for
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required: true
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type: string
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format: city, state
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- name: days
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description: the number of days for the request
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required: true
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type: string
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endpoint:
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name: weather_forecast_service
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path: /weather
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http_method: POST
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- name: default_target
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default: true
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description: This is the default target for all unmatched prompts.
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endpoint:
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name: weather_forecast_service
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path: /default_target
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http_method: POST
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system_prompt: |
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You are a helpful assistant! Summarize the user's request and provide a helpful response.
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# if it is set to false arch will send response that it received from this prompt target to the user
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# if true arch will forward the response to the default LLM
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auto_llm_dispatch_on_response: false
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