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| { | ||
| "name": "Alert Summary With Log Pattern Agent", | ||
| "description": "Create Alert Summary with Log Pattern Agent using Claude on BedRock", | ||
| "use_case": "REGISTER_AGENT", | ||
| "version": { | ||
| "template": "1.0.0", | ||
| "compatibility": ["2.17.0", "3.0.0"] | ||
| }, | ||
| "workflows": { | ||
| "provision": { | ||
| "user_params": {}, | ||
| "nodes": [ | ||
| { | ||
| "id": "create_claude_connector", | ||
| "type": "create_connector", | ||
| "previous_node_inputs": {}, | ||
| "user_inputs": { | ||
| "version": "1", | ||
| "name": "Claude instant runtime Connector", | ||
| "protocol": "aws_sigv4", | ||
| "description": "The connector to BedRock service for Claude model", | ||
| "actions": [ | ||
| { | ||
| "headers": { | ||
| "x-amz-content-sha256": "required", | ||
| "content-type": "application/json" | ||
| }, | ||
| "method": "POST", | ||
| "request_body": "{\"prompt\":\"\\n\\nHuman: ${parameters.prompt}\\n\\nAssistant:\", \"max_tokens_to_sample\":${parameters.max_tokens_to_sample}, \"temperature\":${parameters.temperature}, \"anthropic_version\":\"${parameters.anthropic_version}\" }", | ||
| "action_type": "predict", | ||
| "url": "https://bedrock-runtime.us-west-2.amazonaws.com/model/anthropic.claude-instant-v1/invoke" | ||
| } | ||
| ], | ||
| "credential": { | ||
| "access_key": "<YOUR_ACCESS_KEY>", | ||
| "secret_key": "<YOUR_SECRET_KEY>", | ||
| "session_token": "<YOUR_SESSION_TOKEN>" | ||
| }, | ||
| "parameters": { | ||
| "region": "us-west-2", | ||
| "endpoint": "bedrock-runtime.us-west-2.amazonaws.com", | ||
| "content_type": "application/json", | ||
| "auth": "Sig_V4", | ||
| "max_tokens_to_sample": "8000", | ||
| "service_name": "bedrock", | ||
| "temperature": "0.0001", | ||
| "response_filter": "$.completion", | ||
| "anthropic_version": "bedrock-2023-05-31" | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "id": "register_claude_model", | ||
| "type": "register_remote_model", | ||
| "previous_node_inputs": { | ||
| "create_claude_connector": "connector_id" | ||
| }, | ||
| "user_inputs": { | ||
| "description": "Claude model", | ||
| "deploy": true, | ||
| "name": "claude-instant" | ||
| } | ||
| }, | ||
| { | ||
| "id": "create_alert_summary_with_log_pattern_ml_model_tool", | ||
| "type": "create_tool", | ||
| "previous_node_inputs": { | ||
| "register_claude_model": "model_id" | ||
| }, | ||
| "user_inputs": { | ||
| "parameters": { | ||
| "prompt": " You are an OpenSearch Alert Assistant to help summarize the alerts.\n Here is the detail of alert: \n ${parameters.context};\n \n And help detect if there is any common pattern or trend or outlier for the log pattern output. Log pattern groups the alert trigger logs by their generated patterns, the output contains some sample logs for each top-k patterns.\n Here is the log pattern output:\n ${parameters.topNLogPatternData};" | ||
| }, | ||
| "name": "MLModelTool", | ||
| "type": "MLModelTool" | ||
| } | ||
| }, | ||
| { | ||
| "id": "create_alert_summary_with_log_pattern_agent", | ||
| "type": "register_agent", | ||
| "previous_node_inputs": { | ||
| "create_alert_summary_with_log_pattern_ml_model_tool": "tools" | ||
| }, | ||
| "user_inputs": { | ||
| "parameters": {}, | ||
| "type": "flow", | ||
| "name": "Alert Summary With Log Pattern Agent", | ||
| "description": "this is an alert summary with log pattern agent" | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } |
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| # This template creates a connector to the BedRock service for Claude model | ||
| # It then registers a model using the connector and deploys it. | ||
| # Finally, it creates a flow agent base agent with ML Model tool to generate alert summary from log patterns. | ||
| # | ||
| # To use: | ||
| # - update the "credential" fields under the create_claude_connector node. | ||
| # - if needed, update region | ||
| # | ||
| # After provisioning: | ||
| # - returns a workflow ID | ||
| # - use the status API to get the deployed agent ID | ||
| --- | ||
| name: Alert Summary With Log Pattern Agent | ||
| description: Create Alert Summary with Log Pattern Agent using Claude on BedRock | ||
| use_case: REGISTER_AGENT | ||
| version: | ||
| template: 1.0.0 | ||
| compatibility: | ||
| - 2.17.0 | ||
| - 3.0.0 | ||
| workflows: | ||
| provision: | ||
| user_params: {} | ||
| nodes: | ||
| - id: create_claude_connector | ||
| type: create_connector | ||
| previous_node_inputs: {} | ||
| user_inputs: | ||
| version: '1' | ||
| name: Claude instant runtime Connector | ||
| protocol: aws_sigv4 | ||
| description: The connector to BedRock service for Claude model | ||
| actions: | ||
| - headers: | ||
| x-amz-content-sha256: required | ||
| content-type: application/json | ||
| method: POST | ||
| request_body: '{"prompt":"\n\nHuman: ${parameters.prompt}\n\nAssistant:", | ||
| "max_tokens_to_sample":${parameters.max_tokens_to_sample}, "temperature":${parameters.temperature}, "anthropic_version":"${parameters.anthropic_version}" | ||
| }' | ||
| action_type: predict | ||
| url: https://bedrock-runtime.us-west-2.amazonaws.com/model/anthropic.claude-instant-v1/invoke | ||
| credential: | ||
| access_key: "<YOUR_ACCESS_KEY>" | ||
| secret_key: "<YOUR_SECRET_KEY>" | ||
| session_token: "<YOUR_SESSION_TOKEN>" | ||
| parameters: | ||
| region: us-west-2 | ||
| endpoint: bedrock-runtime.us-west-2.amazonaws.com | ||
| content_type: application/json | ||
| auth: Sig_V4 | ||
| max_tokens_to_sample: '8000' | ||
| service_name: bedrock | ||
| temperature: '0.0001' | ||
| response_filter: "$.completion" | ||
| anthropic_version: bedrock-2023-05-31 | ||
| - id: register_claude_model | ||
| type: register_remote_model | ||
| previous_node_inputs: | ||
| create_claude_connector: connector_id | ||
| user_inputs: | ||
| description: Claude model | ||
| deploy: true | ||
| name: claude-instant | ||
| - id: create_alert_summary_with_log_pattern_ml_model_tool | ||
| type: create_tool | ||
| previous_node_inputs: | ||
| register_claude_model: model_id | ||
| user_inputs: | ||
| parameters: | ||
| prompt: " You are an OpenSearch Alert Assistant to help summarize | ||
| the alerts.\n Here is the detail of alert: \n ${parameters.context};\n | ||
| \ \n And help detect if there is any common pattern | ||
| or trend or outlier for the log pattern output. Log pattern groups the | ||
| alert trigger logs by their generated patterns, the output contains some | ||
| sample logs for each top-k patterns.\n Here is the log | ||
| pattern output:\n ${parameters.topNLogPatternData};" | ||
| name: MLModelTool | ||
| type: MLModelTool | ||
| - id: create_alert_summary_with_log_pattern_agent | ||
| type: register_agent | ||
| previous_node_inputs: | ||
| create_alert_summary_with_log_pattern_ml_model_tool: tools | ||
| user_inputs: | ||
| parameters: {} | ||
| type: flow | ||
| name: Alert Summary With Log Pattern Agent | ||
| description: this is an alert summary with log pattern agent |