mirror of
https://github.com/katanemo/plano.git
synced 2026-04-25 08:46:24 +02:00
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>
This commit is contained in:
parent
2a7b95582c
commit
5c7567584d
49 changed files with 1185 additions and 609 deletions
|
|
@ -1,109 +0,0 @@
|
|||
version: "0.1-beta"
|
||||
|
||||
listener:
|
||||
address: 0.0.0.0 # or 127.0.0.1
|
||||
port: 10000
|
||||
# Defines how Arch should parse the content from application/json or text/pain Content-type in the http request
|
||||
message_format: huggingface
|
||||
common_tls_context: # If you configure port 443, you'll need to update the listener with your TLS certificates
|
||||
tls_certificates:
|
||||
- certificate_chain:
|
||||
filename: "/etc/certs/cert.pem"
|
||||
private_key:
|
||||
filename: "/etc/certs/key.pem"
|
||||
|
||||
# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
|
||||
endpoints:
|
||||
app_server:
|
||||
# value could be ip address or a hostname with port
|
||||
# this could also be a list of endpoints for load balancing
|
||||
# for example endpoint: [ ip1:port, ip2:port ]
|
||||
endpoint: "127.0.0.1:80"
|
||||
# max time to wait for a connection to be established
|
||||
connect_timeout: 0.005s
|
||||
|
||||
mistral_local:
|
||||
endpoint: "127.0.0.1:8001"
|
||||
|
||||
error_target:
|
||||
endpoint: "error_target_1"
|
||||
|
||||
# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
|
||||
llm_providers:
|
||||
- name: "OpenAI"
|
||||
provider: "openai"
|
||||
access_key: $OPENAI_API_KEY
|
||||
model: gpt-4o
|
||||
default: true
|
||||
stream: true
|
||||
rate_limits:
|
||||
selector: #optional headers, to add rate limiting based on http headers like JWT tokens or API keys
|
||||
http_header:
|
||||
name: "Authorization"
|
||||
value: "" # Empty value means each separate value has a separate limit
|
||||
limit:
|
||||
tokens: 100000 # Tokens per unit
|
||||
unit: "minute"
|
||||
|
||||
- name: "Mistral8x7b"
|
||||
provider: "mistral"
|
||||
access_key: $MISTRAL_API_KEY
|
||||
model: "mistral-8x7b"
|
||||
|
||||
- name: "MistralLocal7b"
|
||||
provider: "local"
|
||||
model: "mistral-7b-instruct"
|
||||
endpoint: "mistral_local"
|
||||
|
||||
# provides a way to override default settings for the arch system
|
||||
overrides:
|
||||
# By default Arch uses an NLI + embedding approach to match an incomming prompt to a prompt target.
|
||||
# The intent matching threshold is kept at 0.80, you can overide this behavior if you would like
|
||||
prompt_target_intent_matching_threshold: 0.60
|
||||
|
||||
# default system prompt used by all prompt targets
|
||||
system_prompt: |
|
||||
You are a network assistant that just offers facts; not advice on manufacturers or purchasing decisions.
|
||||
|
||||
prompt_guards:
|
||||
input_guards:
|
||||
jailbreak:
|
||||
on_exception:
|
||||
message: "Looks like you're curious about my abilities, but I can only provide assistance within my programmed parameters."
|
||||
|
||||
prompt_targets:
|
||||
- name: "reboot_network_device"
|
||||
description: "Helps network operators perform device operations like rebooting a device."
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: "/agent/action"
|
||||
parameters:
|
||||
- name: "device_id"
|
||||
# additional type options include: int | float | bool | string | list | dict
|
||||
type: "string"
|
||||
description: "Identifier of the network device to reboot."
|
||||
required: true
|
||||
- name: "confirmation"
|
||||
type: "string"
|
||||
description: "Confirmation flag to proceed with reboot."
|
||||
default: "no"
|
||||
enum: [yes, no]
|
||||
|
||||
- name: "information_extraction"
|
||||
default: true
|
||||
description: "This prompt handles all scenarios that are question and answer in nature. Like summarization, information extraction, etc."
|
||||
endpoint:
|
||||
name: app_server
|
||||
path: "/agent/summary"
|
||||
# Arch uses the default LLM and treats the response from the endpoint as the prompt to send to the LLM
|
||||
auto_llm_dispatch_on_response: true
|
||||
# override system prompt for this prompt target
|
||||
system_prompt: |
|
||||
You are a helpful information extraction assistant. Use the information that is provided to you.
|
||||
|
||||
error_target:
|
||||
endpoint:
|
||||
name: error_target_1
|
||||
path: /error
|
||||
|
||||
tracing: 100 #sampling rate. Note by default Arch works on OpenTelemetry compatible tracing.
|
||||
Loading…
Add table
Add a link
Reference in a new issue