Modify Dialogue Pipeline
The dialogue pipeline is the core processing flow of LangBot, which handles user messages and generates responses.
Pipeline Structure
The pipeline consists of the following components:
- Trigger: Determines whether to process a message
- Moderation: Filters and processes messages before sending to the model
- AI: Sends the message to the LLM and receives a response
- Output: Processes the model's response before sending it back to the user
Configuration Methods
Method 1: Configure via WebUI
After deploying LangBot, access the WebUI at http://your-server-ip:5300 and configure the pipeline in the "Pipeline" section.
Method 2: Configure via Configuration File
Edit the data/config.yaml file and modify the pipelines section:
pipelines:
- id: default
components:
- id: trigger
type: trigger
config:
# Trigger configuration
- id: moderation
type: moderation
config:
# Moderation configuration
- id: ai
type: ai
config:
# AI configuration
- id: output
type: output
config:
# Output configuration
Component Configuration
Trigger Component
The trigger component determines whether a message should be processed by the pipeline.
- id: trigger
type: trigger
config:
# Whether to respond to messages that start with a command prefix
command_prefix: true
# Command prefixes (characters that trigger the bot)
command_prefixes:
- "!"
- "！"
# Whether to respond to messages that mention the bot
at: true
# Whether to respond to private messages
private: true
# Whether to respond to group messages without being triggered by command prefix or mention
group_chat: false
Moderation Component
The moderation component filters and processes messages before sending them to the model.
- id: moderation
type: moderation
config:
# Whether to enable sensitive word filtering
sensitive_word_filter: true
# Whether to enable rate limiting
rate_limit: true
# Rate limit configuration
rate_limit_config:
# Number of messages allowed per time period
count: 10
# Time period in seconds
period: 60
# Whether to enable context management
context: true
# Context configuration
context_config:
# Maximum number of messages to include in the context
max_count: 10
# Maximum context length in tokens
max_tokens: 4000
AI Component
The AI component sends the message to the LLM and receives a response.
- id: ai
type: ai
config:
# System prompt
system_prompt: "You are LangBot, a helpful assistant."
# Whether to enable function calling
function_call: true
# Whether to enable streaming responses
stream: true
Output Component
The output component processes the model's response before sending it back to the user.
- id: output
type: output
config:
# Whether to enable message splitting for long responses
split: true
# Maximum length of a single message
max_length: 1000
Multiple Pipelines
You can configure multiple pipelines for different scenarios:
pipelines:
- id: default
# Default pipeline configuration
- id: image-generation
# Pipeline for image generation
- id: code-assistant
# Pipeline for code assistance
To switch between pipelines, use the following command:
!pipeline use image-generation