Integrate W&B Weave

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What is W&b Weave

Weights & Biases (W&B) Weave is a framework for tracking, experimenting with, evaluating, deploying, and improving LLM-based applications. Designed for flexibility and scalability, Weave supports every stage of your LLM application development workflow.

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How to Configure Weave

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1. Register/Login

Register/Login to W&B Weave and get your API key. Then, copy your API key from here.

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2. Integrating W&B Weave with Dify

Configure Weave in the Dify application. Open the application you need to monitor, open Monitoring in the side menu, and select Tracing app performance on the page.

After clicking configure, paste the API Key and project name, also specify the W&B entity(optionally, default is your username) into the configuration and save.

Once successfully saved, you can view the monitoring status on the current page.

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Viewing Monitoring Data in Weave

Once configured, the debug or production data from applications within Dify can be monitored in Weave.

When you switch to Weave, you can view detailed operation logs of Dify applications in the dashboard.

Detailed LLM operation logs through Weave will help you optimize the performance of your Dify application.

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Monitoring Data List

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Workflow/Chatflow Trace Information

Used to track workflows and chatflows

Workflow	Weave Trace
workflow_app_log_id/workflow_run_id	id
user_session_id	placed in metadata
workflow_	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
Model token consumption	usage_metadata
metadata	extra
error	error
workflow	tags
”conversation_id/none for workflow”	conversation_id in metadata
conversion_id	parent_run_id

Workflow Trace Info

• workflow_id - Unique identifier of the workflow
• conversation_id - Conversation ID
• workflow_run_id - ID of the current run
• tenant_id - Tenant ID
• elapsed_time - Time taken for the current run
• status - Run status
• version - Workflow version
• total_tokens - Total tokens used in the current run
• file_list - List of processed files
• triggered_from - Source that triggered the current run
• workflow_run_inputs - Input data for the current run
• workflow_run_outputs - Output data for the current run
• error - Errors encountered during the current run
• query - Query used during the run
• workflow_app_log_id - Workflow application log ID
• message_id - Associated message ID
• start_time - Start time of the run
• end_time - End time of the run
• workflow node executions - Information about workflow node executions
• Metadata
  • workflow_id - Unique identifier of the workflow
  • conversation_id - Conversation ID
  • workflow_run_id - ID of the current run
  • tenant_id - Tenant ID
  • elapsed_time - Time taken for the current run
  • status - Run status
  • version - Workflow version
  • total_tokens - Total tokens used in the current run
  • file_list - List of processed files
  • triggered_from - Source that triggered the current run

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Message Trace Information

Used to track LLM-related conversations

Chat	Weave Trace
message_id	id
user_session_id	placed in metadata
“message_“	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
Model token consumption	usage_metadata
metadata	extra
error	error
”message”, conversation_mode	tags
conversation_id	conversation_id in metadata
conversion_id	parent_run_id

Message Trace Info

• message_id - Message ID
• message_data - Message data
• user_session_id - User session ID
• conversation_model - Conversation mode
• message_tokens - Number of tokens in the message
• answer_tokens - Number of tokens in the answer
• total_tokens - Total number of tokens in the message and answer
• error - Error information
• inputs - Input data
• outputs - Output data
• file_list - List of processed files
• start_time - Start time
• end_time - End time
• message_file_data - File data associated with the message
• conversation_mode - Conversation mode
• Metadata
  • conversation_id - Conversation ID
  • ls_provider - Model provider
  • ls_model_name - Model ID
  • status - Message status
  • from_end_user_id - ID of the sending user
  • from_account_id - ID of the sending account
  • agent_based - Whether the message is agent-based
  • workflow_run_id - Workflow run ID
  • from_source - Message source

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Moderation Trace Information

Used to track conversation moderation

Moderation	Weave Trace
user_id	placed in metadata
“moderation”	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
metadata	extra
moderation	tags
message_id	parent_run_id

Moderation Trace Info

• message_id - Message ID
• user_id: User ID
• workflow_app_log_id - Workflow application log ID
• inputs - Moderation input data
• message_data - Message data
• flagged - Whether the content is flagged for attention
• action - Specific actions taken
• preset_response - Preset response
• start_time - Moderation start time
• end_time - Moderation end time
• Metadata
  • message_id - Message ID
  • action - Specific actions taken
  • preset_response - Preset response

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Suggested Question Trace Information

Used to track suggested questions

Suggested Question	Weave Trace
user_id	placed in metadata
suggested_question	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
metadata	extra
suggested_question	tags
message_id	parent_run_id

Message Trace Info

• message_id - Message ID
• message_data - Message data
• inputs - Input content
• outputs - Output content
• start_time - Start time
• end_time - End time
• total_tokens - Number of tokens
• status - Message status
• error - Error information
• from_account_id - ID of the sending account
• agent_based - Whether the message is agent-based
• from_source - Message source
• model_provider - Model provider
• model_id - Model ID
• suggested_question - Suggested question
• level - Status level
• status_message - Status message
• Metadata
  • message_id - Message ID
  • ls_provider - Model provider
  • ls_model_name - Model ID
  • status - Message status
  • from_end_user_id - ID of the sending user
  • from_account_id - ID of the sending account
  • workflow_run_id - Workflow run ID
  • from_source - Message source

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Dataset Retrieval Trace Information

Used to track knowledge base retrieval

Dataset Retrieval	Weave Trace
user_id	placed in metadata
dataset_retrieval	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
metadata	extra
dataset_retrieval	tags
message_id	parent_run_id

Dataset Retrieval Trace Info

• message_id - Message ID
• inputs - Input content
• documents - Document data
• start_time - Start time
• end_time - End time
• message_data - Message data
• Metadata
  • message_id - Message ID
  • ls_provider - Model provider
  • ls_model_name - Model ID
  • status - Message status
  • from_end_user_id - ID of the sending user
  • from_account_id - ID of the sending account
  • agent_based - Whether the message is agent-based
  • workflow_run_id - Workflow run ID
  • from_source - Message source

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Tool Trace Information

Used to track tool invocation

Tool	Weave Trace
user_id	placed in metadata
tool_name	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
metadata	extra
”tool”, tool_name	tags
message_id	parent_run_id

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Tool Trace Info

• message_id - Message ID
• tool_name - Tool name
• start_time - Start time
• end_time - End time
• tool_inputs - Tool inputs
• tool_outputs - Tool outputs
• message_data - Message data
• error - Error information, if any
• inputs - Inputs for the message
• outputs - Outputs of the message
• tool_config - Tool configuration
• time_cost - Time cost
• tool_parameters - Tool parameters
• file_url - URL of the associated file
• Metadata
  • message_id - Message ID
  • tool_name - Tool name
  • tool_inputs - Tool inputs
  • tool_outputs - Tool outputs
  • tool_config - Tool configuration
  • time_cost - Time cost
  • error - Error information, if any
  • tool_parameters - Tool parameters
  • message_file_id - Message file ID
  • created_by_role - Role of the creator
  • created_user_id - User ID of the creator

Generate Name Trace Information

Used to track conversation title generation

Generate Name	Weave Trace
user_id	placed in metadata
generate_name	name
start_time	start_time
end_time	end_time
inputs	inputs
outputs	outputs
metadata	extra
generate_name	tags

Generate Name Trace Info

• conversation_id - Conversation ID
• inputs - Input data
• outputs - Generated conversation name
• start_time - Start time
• end_time - End time
• tenant_id - Tenant ID
• Metadata
  • conversation_id - Conversation ID
  • tenant_id - Tenant ID