2025-05-31 01:11:14 -07:00
|
|
|
version: v0.1.0
|
2024-12-20 13:25:01 -08:00
|
|
|
|
2025-02-14 19:28:10 -08:00
|
|
|
listeners:
|
|
|
|
|
ingress_traffic:
|
|
|
|
|
address: 0.0.0.0
|
|
|
|
|
port: 10000
|
|
|
|
|
message_format: openai
|
|
|
|
|
timeout: 30s
|
2024-12-20 13:25:01 -08:00
|
|
|
|
|
|
|
|
endpoints:
|
|
|
|
|
rag_energy_source_agent:
|
|
|
|
|
endpoint: host.docker.internal:18083
|
|
|
|
|
connect_timeout: 0.005s
|
|
|
|
|
|
|
|
|
|
llm_providers:
|
2025-07-11 16:42:16 -07:00
|
|
|
- access_key: $OPENAI_API_KEY
|
|
|
|
|
model: openai/gpt-4o-mini
|
2024-12-20 13:25:01 -08:00
|
|
|
default: true
|
|
|
|
|
|
|
|
|
|
system_prompt: |
|
|
|
|
|
You are a helpful assistant and can offer information about energy sources.
|
|
|
|
|
You will get a JSON object with energy_source and consideration fields. Focus on answering the querstion using those fields.
|
|
|
|
|
Keep your responses to just three main points to make it easy for the reader to digest the information
|
|
|
|
|
|
|
|
|
|
prompt_targets:
|
|
|
|
|
- name: get_info_for_energy_source
|
|
|
|
|
description: get information about an energy source
|
|
|
|
|
parameters:
|
|
|
|
|
- name: energy_source
|
|
|
|
|
type: str
|
|
|
|
|
description: a source of energy
|
|
|
|
|
required: true
|
|
|
|
|
enum: [renewable, fossil]
|
|
|
|
|
- name: consideration
|
|
|
|
|
type: str
|
|
|
|
|
description: a specific type of consideration for an energy source
|
|
|
|
|
enum: [cost, economic, technology]
|
|
|
|
|
endpoint:
|
|
|
|
|
name: rag_energy_source_agent
|
|
|
|
|
path: /agent/energy_source_info
|
|
|
|
|
http_method: POST
|
|
|
|
|
|
|
|
|
|
- name: default_target
|
|
|
|
|
default: true
|
|
|
|
|
description: This is the default target for all unmatched prompts.
|
|
|
|
|
endpoint:
|
|
|
|
|
name: rag_energy_source_agent
|
|
|
|
|
path: /default_target
|
|
|
|
|
http_method: POST
|
|
|
|
|
system_prompt: |
|
|
|
|
|
You are a helpful assistant! Summarize the user's request and provide a helpful response.
|
|
|
|
|
# if it is set to false arch will send response that it received from this prompt target to the user
|
|
|
|
|
# if true arch will forward the response to the default LLM
|
|
|
|
|
auto_llm_dispatch_on_response: false
|
|
|
|
|
|
|
|
|
|
tracing:
|
|
|
|
|
random_sampling: 100
|
|
|
|
|
trace_arch_internal: true
|
