{AKS} remove aks agent from aks-preview

src/aks-preview/HISTORY.rst

@@ -12,6 +12,10 @@ To release a new version, please select a new version number (usually plus 1 to
 Pending
 +++++++
 
+18.0.0b30
++++++++
+* Remove interactive AI-powered debugging tool `az aks agent`. To use the debugging tool, please enable it in the aks-agent extension by running `az extension add --name aks-agent`.
+
 18.0.0b29
 +++++++
 * Refactor code to suppress ssh access warning message when creating an automatic cluster.

src/aks-preview/azext_aks_preview/_consts.py

@@ -373,9 +373,3 @@
 CONST_K8S_EXTENSION_NAME = "k8s-extension"
 CONST_K8S_EXTENSION_ACTION_MOD_NAME = "azext_k8s_extension.action"
 CONST_K8S_EXTENSION_FORMAT_MOD_NAME = "azext_k8s_extension._format"
-
-# aks agent constants
-CONST_AGENT_CONFIG_PATH_DIR_ENV_KEY = "HOLMES_CONFIGPATH_DIR"
-CONST_AGENT_NAME = "AKS AGENT"
-CONST_AGENT_NAME_ENV_KEY = "AGENT_NAME"
-CONST_AGENT_CONFIG_FILE_NAME = "aksAgent.yaml"

src/aks-preview/azext_aks_preview/_help.py

@@ -3952,99 +3952,3 @@
           type: string
           short-summary: Name of the identity binding to show.
 """
-
-helps[
-    "aks agent"
-] = """
-    type: command
-    short-summary: Run AI assistant to analyze and troubleshoot Kubernetes clusters.
-    long-summary: |-
-      This command allows you to ask questions about your Azure Kubernetes cluster and get answers using AI models.
-      Environment variables must be set to use the AI model, please refer to https://docs.litellm.ai/docs/providers to learn more about supported AI providers and models and required environment variables.
-    parameters:
-        - name: --name -n
-          type: string
-          short-summary: Name of the managed cluster.
-        - name: --resource-group -g
-          type: string
-          short-summary: Name of the resource group.
-        - name: --model
-          type: string
-          short-summary: Model to use for the LLM.
-        - name: --api-key
-          type: string
-          short-summary: API key to use for the LLM (if not given, uses environment variables AZURE_API_KEY, OPENAI_API_KEY).
-        - name: --config-file
-          type: string
-          short-summary: Path to configuration file.
-        - name: --max-steps
-          type: int
-          short-summary: Maximum number of steps the LLM can take to investigate the issue.
-        - name: --no-interactive
-          type: bool
-          short-summary: Disable interactive mode. When set, the agent will not prompt for input and will run in batch mode.
-        - name: --no-echo-request
-          type: bool
-          short-summary: Disable echoing back the question provided to AKS Agent in the output.
-        - name: --show-tool-output
-          type: bool
-          short-summary: Show the output of each tool that was called during the analysis.
-        - name: --refresh-toolsets
-          type: bool
-          short-summary: Refresh the toolsets status.
-
-    examples:
-        - name: Ask about pod issues in the cluster with Azure OpenAI
-          text: |-
-            export AZURE_API_BASE="https://my-azureopenai-service.openai.azure.com/"
-            export AZURE_API_VERSION="2025-01-01-preview"
-            export AZURE_API_KEY="sk-xxx"
-            az aks agent "Why are my pods not starting?" --name MyManagedCluster --resource-group MyResourceGroup --model azure/my-gpt4.1-deployment
-        - name: Ask about pod issues in the cluster with OpenAI
-          text: |-
-            export OPENAI_API_KEY="sk-xxx"
-            az aks agent "Why are my pods not starting?" --name MyManagedCluster --resource-group MyResourceGroup --model gpt-4o
-        - name: Run in interactive mode without a question
-          text: az aks agent "Check the pod status in my cluster" --name MyManagedCluster --resource-group MyResourceGroup --model azure/my-gpt4.1-deployment --api-key "sk-xxx"
-        - name: Run in non-interactive batch mode
-          text: az aks agent "Diagnose networking issues" --no-interactive --max-steps 15 --model azure/my-gpt4.1-deployment
-        - name: Show detailed tool output during analysis
-          text: az aks agent "Why is my service workload unavailable in namespace workload-ns?" --show-tool-output --model azure/my-gpt4.1-deployment
-        - name: Use custom configuration file
-          text: az aks agent "Check kubernetes pod resource usage" --config-file /path/to/custom.yaml --model azure/my-gpt4.1-deployment
-        - name: Run agent with no echo of the original question
-          text: az aks agent "What is the status of my cluster?" --no-echo-request --model azure/my-gpt4.1-deployment
-        - name: Refresh toolsets to get the latest available tools
-          text: az aks agent "What is the status of my cluster?" --refresh-toolsets --model azure/my-gpt4.1-deployment
-        - name: Run agent with config file
-          text: |
-            az aks agent "Check kubernetes pod resource usage" --config-file /path/to/custom.yaml
-            Here is an example of config file:
-            ```json
-            model: "gpt-4o"
-            api_key: "..."
-            # define a list of mcp servers, mcp server can be defined
-            mcp_servers:
-              aks_mcp:
-                description: "The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters"
-                url: "http://localhost:8003/sse"
-
-            # try adding your own tools or toggle the built-in toolsets here
-            # e.g. query company-specific data, fetch logs from your existing observability tools, etc
-            # To check how to add a customized toolset, please refer to https://docs.robusta.dev/master/configuration/holmesgpt/custom_toolsets.html#custom-toolsets
-            # To find all built-in toolsets, please refer to https://docs.robusta.dev/master/configuration/holmesgpt/builtin_toolsets.html
-            toolsets:
-              # add a new json processor toolset
-              json_processor:
-                description: "A toolset for processing JSON data using jq"
-                prerequisites:
-                  - command: "jq --version"  # Ensure jq is installed
-                tools:
-                  - name: "process_json"
-                    description: "A tool that uses jq to process JSON input"
-                    command: "echo '{{ json_input }}' | jq '.'"  # Example jq command to format JSON
-              # disable a built-in toolsets
-              aks/core:
-                enabled: false
-              ```
-"""

src/aks-preview/azext_aks_preview/_params.py

@@ -23,7 +23,6 @@
     validate_nat_gateway_idle_timeout,
     validate_nat_gateway_managed_outbound_ip_count,
 )
-from azure.cli.core.api import get_config_dir
 from azure.cli.core.commands.parameters import (
     edge_zone_type,
     file_type,
@@ -151,7 +150,6 @@
     CONST_ADVANCED_NETWORKPOLICIES_L7,
     CONST_TRANSIT_ENCRYPTION_TYPE_NONE,
     CONST_TRANSIT_ENCRYPTION_TYPE_WIREGUARD,
-    CONST_AGENT_CONFIG_FILE_NAME,
 )
 
 from azext_aks_preview._validators import (
@@ -225,7 +223,6 @@
     validate_max_blocked_nodes,
     validate_resource_group_parameter,
     validate_location_resource_group_cluster_parameters,
-    validate_agent_config_file,
 )
 from azext_aks_preview.azurecontainerstorage._consts import (
     CONST_ACSTOR_ALL,
@@ -2781,70 +2778,6 @@ def load_arguments(self, _):
             action="store_true",
         )
 
-    with self.argument_context("aks agent") as c:
-        c.positional(
-            "prompt",
-            help="Ask any question and answer using available tools.",
-        )
-        c.argument(
-            "resource_group_name",
-            options_list=["--resource-group", "-g"],
-            help="Name of resource group.",
-            required=False,
-        )
-        c.argument(
-            "name",
-            options_list=["--name", "-n"],
-            help="Name of the managed cluster.",
-            required=False,
-        )
-        c.argument(
-            "max_steps",
-            type=int,
-            default=10,
-            required=False,
-            help="Maximum number of steps the LLM can take to investigate the issue.",
-        )
-        c.argument(
-            "config_file",
-            default=os.path.join(get_config_dir(), CONST_AGENT_CONFIG_FILE_NAME),
-            validator=validate_agent_config_file,
-            required=False,
-            help="Path to the config file.",
-        )
-        c.argument(
-            "model",
-            help="The model to use for the LLM.",
-            required=False,
-            type=str,
-        )
-        c.argument(
-            "api-key",
-            help="API key to use for the LLM (if not given, uses environment variables AZURE_API_KEY, OPENAI_API_KEY)",
-            required=False,
-            type=str,
-        )
-        c.argument(
-            "no_interactive",
-            help="Disable interactive mode. When set, the agent will not prompt for input and will run in batch mode.",
-            action="store_true",
-        )
-        c.argument(
-            "no_echo_request",
-            help="Disable echoing back the question provided to AKS Agent in the output.",
-            action="store_true",
-        )
-        c.argument(
-            "show_tool_output",
-            help="Show the output of each tool that was called.",
-            action="store_true",
-        )
-        c.argument(
-            "refresh_toolsets",
-            help="Refresh the toolsets status.",
-            action="store_true",
-        )
-
 
 def _get_default_install_location(exe_name):
     system = platform.system()

src/aks-preview/azext_aks_preview/_validators.py

@@ -11,9 +11,8 @@
 from ipaddress import ip_network
 from math import isclose, isnan
 
-import yaml
 from azext_aks_preview._consts import (
-    ADDONS, CONST_AGENT_CONFIG_FILE_NAME,
+    ADDONS,
     CONST_AZURE_SERVICE_MESH_MAX_EGRESS_NAME_LENGTH,
     CONST_LOAD_BALANCER_BACKEND_POOL_TYPE_NODE_IP,
     CONST_LOAD_BALANCER_BACKEND_POOL_TYPE_NODE_IPCONFIGURATION,
@@ -26,7 +25,6 @@
     CONST_OS_SKU_CBLMARINER, CONST_OS_SKU_MARINER)
 from azext_aks_preview._helpers import _fuzzy_match
 from azure.cli.core import keys
-from azure.cli.core.api import get_config_dir
 from azure.cli.core.azclierror import (ArgumentUsageError,
                                        InvalidArgumentValueError,
                                        MutuallyExclusiveArgumentError,
@@ -974,39 +972,3 @@ def validate_location_resource_group_cluster_parameters(namespace):
         raise MutuallyExclusiveArgumentError(
             "Cannot specify --location and --resource-group and --cluster at the same time."
         )
-
-
-def _validate_param_yaml_file(yaml_path, param_name):
-    if not yaml_path:
-        return
-    if not os.path.exists(yaml_path):
-        raise InvalidArgumentValueError(
-            f"--{param_name}={yaml_path}: file is not found."
-        )
-    if not os.access(yaml_path, os.R_OK):
-        raise InvalidArgumentValueError(
-            f"--{param_name}={yaml_path}: file is not readable."
-        )
-    try:
-        with open(yaml_path, "r") as file:
-            yaml.safe_load(file)
-    except yaml.YAMLError as e:
-        raise InvalidArgumentValueError(
-            f"--{param_name}={yaml_path}: file is not a valid YAML file: {e}"
-        )
-    except Exception as e:
-        raise InvalidArgumentValueError(
-            f"--{param_name}={yaml_path}: An error occurred while reading the config file: {e}"
-        )
-
-
-def validate_agent_config_file(namespace):
-    config_file = namespace.config_file
-    if not config_file:
-        return
-    # default config file path can be empty
-    default_config_path = os.path.join(get_config_dir(), CONST_AGENT_CONFIG_FILE_NAME)
-    if config_file == default_config_path and not os.path.exists(config_file):
-        return
-
-    _validate_param_yaml_file(config_file, "config-file")