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@namanvirk18 namanvirk18 commented Jul 4, 2025

Summary by CodeRabbit

  • New Features
    • Introduced an AI-powered SRE agent that interprets queries, generates and executes Kubernetes commands, and returns live results.
    • Added support for both CLI and event-driven modes for interacting with the agent.
    • Provided example configuration files for environment variables and Xpander integration.
    • Included detailed setup and usage instructions in the new README.
  • Chores
    • Added a requirements file specifying necessary Python dependencies.

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coderabbitai bot commented Jul 4, 2025

Walkthrough

A new SRE agent project, sre-agent-xpander.ai, was introduced. It includes configuration templates, dependency specifications, a README, and two main Python modules: one for a CLI-based SRE agent that interprets and executes Kubernetes commands, and another for handling event-driven requests via the Xpander platform. The agent integrates OpenAI's GPT-4o model, Agno's agent framework, and Xpander event streaming.

Changes

File(s) Change Summary
.env.example, xpander_config.json.example Added environment and config example files with placeholder values for API keys and endpoints.
requirements.txt Added Python dependencies: xpander-utils, agno, openai, python-dotenv.
README.md Added detailed documentation for setup, configuration, usage, and contribution guidelines.
sre_agent.py Implemented SREAgent class, CLI entrypoint, and Kubernetes command execution logic.
xpander_handler.py Added async event handler for Xpander integration and agent execution via SSE.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant CLI/EventListener
    participant SREAgent
    participant OpenAI (GPT-4o)
    participant Kubernetes

    User->>CLI/EventListener: Submit query (e.g., "Get pods in namespace X")
    CLI/EventListener->>SREAgent: run(message, user_id, session_id)
    SREAgent->>OpenAI (GPT-4o): Generate kubectl command from query
    OpenAI (GPT-4o)-->>SREAgent: Suggested kubectl command
    SREAgent->>Kubernetes: Execute kubectl command
    Kubernetes-->>SREAgent: Command output
    SREAgent-->>CLI/EventListener: Response with live output
    CLI/EventListener-->>User: Display response
Loading

Poem

Oh, what a leap for the SRE hare,
With configs and docs floating in the air!
Now with GPT and Xpander in tow,
Kubernetes commands run live on the go.
From CLI or streams, the agent’s on call—
Hopping through clusters, outsmarting them all!
🐇✨

✨ Finishing Touches
  • 📝 Generate Docstrings

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Actionable comments posted: 13

🧹 Nitpick comments (3)
sre-agent-xpander.ai/README.md (2)

81-81: Remove extra spaces in code span.

The markdown formatting has unnecessary spaces inside the code span.

-Type your queries at the `➜ ` prompt and enter `exit` or `quit` to stop.
+Type your queries at the `➜` prompt and enter `exit` or `quit` to stop.

54-61: Fix inconsistent JSON formatting in documentation.

The JSON example has inconsistent spacing and formatting compared to the actual config file.

 **Configure `xpander_config.json` for Xpander credentials:**
 ```json
 {
-  "agent_id":   "your_xpander_agent_id",
-  "api_key":    "your_xpander_api_key",
-  "org_id":     "your_xpander_org_id",
-  "base_url":   "https://agent-controller.xpander.ai"
+  "base_url": "https://agent-controller.xpander.ai",
+  "org_id": "your_xpander_org_id",
+  "agent_id": "your_xpander_agent_id",
+  "api_key": "your_xpander_api_key"
 }

</blockquote></details>
<details>
<summary>sre-agent-xpander.ai/sre_agent.py (1)</summary><blockquote>

`21-21`: **Fix formatting: Remove extra spaces before operator.**


```diff
-FENCE   = re.compile(r"```[\s\S]*?```", re.MULTILINE)
+FENCE = re.compile(r"```[\s\S]*?```", re.MULTILINE)
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between b235a60 and b5e393f.

📒 Files selected for processing (6)
  • sre-agent-xpander.ai/.env.example (1 hunks)
  • sre-agent-xpander.ai/README.md (1 hunks)
  • sre-agent-xpander.ai/requirements.txt (1 hunks)
  • sre-agent-xpander.ai/sre_agent.py (1 hunks)
  • sre-agent-xpander.ai/xpander_config.json.example (1 hunks)
  • sre-agent-xpander.ai/xpander_handler.py (1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (1)
sre-agent-xpander.ai/xpander_handler.py (1)
sre-agent-xpander.ai/sre_agent.py (2)
  • SREAgent (40-91)
  • run (46-75)
🪛 Flake8 (7.2.0)
sre-agent-xpander.ai/xpander_handler.py

[error] 11-11: module level import not at top of file

(E402)


[error] 12-12: module level import not at top of file

(E402)


[error] 13-13: module level import not at top of file

(E402)


[error] 34-34: expected 2 blank lines, found 1

(E302)


[error] 56-56: unexpected spaces around keyword / parameter equals

(E251)


[error] 56-56: multiple spaces before operator

(E221)


[error] 56-56: unexpected spaces around keyword / parameter equals

(E251)


[error] 57-57: unexpected spaces around keyword / parameter equals

(E251)


[error] 57-57: unexpected spaces around keyword / parameter equals

(E251)


[error] 58-58: unexpected spaces around keyword / parameter equals

(E251)


[error] 58-58: multiple spaces before operator

(E221)


[error] 58-58: unexpected spaces around keyword / parameter equals

(E251)


[error] 59-59: unexpected spaces around keyword / parameter equals

(E251)


[error] 59-59: multiple spaces before operator

(E221)


[error] 59-59: unexpected spaces around keyword / parameter equals

(E251)

sre-agent-xpander.ai/sre_agent.py

[error] 21-21: multiple spaces before operator

(E221)


[error] 23-23: expected 2 blank lines, found 1

(E302)


[error] 30-30: missing whitespace after ','

(E231)


[error] 30-30: missing whitespace after ','

(E231)


[error] 40-40: expected 2 blank lines, found 1

(E302)


[error] 93-93: expected 2 blank lines, found 1

(E302)


[error] 103-103: missing whitespace after ','

(E231)

🪛 LanguageTool
sre-agent-xpander.ai/README.md

[style] ~103-~103: Using many exclamation marks might seem excessive (in this case: 4 exclamation marks for a text that’s 1379 characters long)
Context: ... Contribution Contributions are welcome! Please fork the repository, create a fe...

(EN_EXCESSIVE_EXCLAMATION)

🪛 markdownlint-cli2 (0.17.2)
sre-agent-xpander.ai/README.md

81-81: Spaces inside code span elements

(MD038, no-space-in-code)

🪛 Pylint (3.3.7)
sre-agent-xpander.ai/sre_agent.py

[refactor] 23-23: Too few public methods (1/2)

(R0903)

🔇 Additional comments (2)
sre-agent-xpander.ai/.env.example (1)

1-1: LGTM!

The environment variable template is properly formatted and provides clear guidance for users.

sre-agent-xpander.ai/sre_agent.py (1)

34-39: Critical: Fix command injection vulnerability.

Using flags.split() is vulnerable to command injection attacks. An attacker could pass flags containing shell metacharacters to execute arbitrary commands.

+import shlex
+
 def kubectl(self, flags: str) -> str:
     # run kubectl with saved context
-    cmd = ["kubectl"] + (["--context", self.ctx] if self.ctx else []) + flags.split()
+    try:
+        parsed_flags = shlex.split(flags)
+    except ValueError as e:
+        return f"Invalid flags: {e}"
+    cmd = ["kubectl"] + (["--context", self.ctx] if self.ctx else []) + parsed_flags
     p = subprocess.run(cmd, capture_output=True, text=True)
     return p.stdout if p.returncode == 0 else p.stderr

Likely an incorrect or invalid review comment.

Comment on lines +1 to +4
xpander-utils
agno
openai
python-dotenv
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🛠️ Refactor suggestion

Pin dependency versions for security and reproducibility.

Consider pinning specific versions to ensure consistent builds and prevent potential security vulnerabilities from automatic updates.

-xpander-utils
-agno
-openai
-python-dotenv
+xpander-utils>=1.0.0,<2.0.0
+agno>=1.0.0,<2.0.0
+openai>=1.0.0,<2.0.0
+python-dotenv>=1.0.0,<2.0.0

Alternatively, use exact versions if you need strict reproducibility:

-xpander-utils
-agno
-openai
-python-dotenv
+xpander-utils==1.2.3
+agno==2.1.0
+openai==1.12.0
+python-dotenv==1.0.0
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
xpander-utils
agno
openai
python-dotenv
xpander-utils>=1.0.0,<2.0.0
agno>=1.0.0,<2.0.0
openai>=1.0.0,<2.0.0
python-dotenv>=1.0.0,<2.0.0
🤖 Prompt for AI Agents
In sre-agent-xpander.ai/requirements.txt at lines 1 to 4, the dependencies are
listed without specific version pins, which can lead to inconsistent builds and
potential security risks. Update each dependency to include exact version
numbers by specifying the version after the package name using '==' to ensure
consistent and secure installations.

Comment on lines +1 to +8
{
"base_url": "https://agent-controller.xpander.ai",
"org_id": "your-xpander-org-id",
"agent_id": "your-xpander-agent-id",
"api_key": "your-xpander-api-key",
"controller_url": "https://agent-controller.xpander.ai"
}

No newline at end of file
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🛠️ Refactor suggestion

Fix JSON formatting and remove redundant configuration.

The configuration has formatting inconsistencies and contains duplicate URL fields that may confuse users.

-{
-    "base_url": "https://agent-controller.xpander.ai",
-    "org_id":   "your-xpander-org-id",
-    "agent_id": "your-xpander-agent-id",
-    "api_key":  "your-xpander-api-key",
-    "controller_url": "https://agent-controller.xpander.ai"
-  }
+{
+    "base_url": "https://agent-controller.xpander.ai",
+    "org_id": "your-xpander-org-id",
+    "agent_id": "your-xpander-agent-id",
+    "api_key": "your-xpander-api-key"
+}

The controller_url field appears to be redundant as it has the same value as base_url.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
{
"base_url": "https://agent-controller.xpander.ai",
"org_id": "your-xpander-org-id",
"agent_id": "your-xpander-agent-id",
"api_key": "your-xpander-api-key",
"controller_url": "https://agent-controller.xpander.ai"
}
{
"base_url": "https://agent-controller.xpander.ai",
"org_id": "your-xpander-org-id",
"agent_id": "your-xpander-agent-id",
"api_key": "your-xpander-api-key"
}
🤖 Prompt for AI Agents
In sre-agent-xpander.ai/xpander_config.json.example lines 1 to 8, fix the JSON
formatting by ensuring proper indentation and removing the redundant
"controller_url" field since it duplicates the "base_url" value. This will clean
up the configuration and avoid confusion.

Comment on lines +34 to +52
async def handle_execution_request(task: AgentExecution) -> AgentExecutionResult:
try:
# Optional: register task for Xpander metrics
await asyncio.to_thread(
xp_adapter.agent.init_task,
execution=task.model_dump()
)

resp = await agent.run(
message=task.input.text,
user_id=task.input.user.id,
session_id=task.memory_thread_id,
cli=False,
)
return AgentExecutionResult(result=resp.content, is_success=True)

except Exception as exc:
logger.exception("Error handling execution request")
return AgentExecutionResult(result=str(exc), is_success=False)
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🛠️ Refactor suggestion

Add missing blank lines before function definition.

PEP 8 requires 2 blank lines before top-level function definitions.

 agent = SREAgent(xp_adapter)
 
+
 # Execution callback (forward only) 
 async def handle_execution_request(task: AgentExecution) -> AgentExecutionResult:
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
async def handle_execution_request(task: AgentExecution) -> AgentExecutionResult:
try:
# Optional: register task for Xpander metrics
await asyncio.to_thread(
xp_adapter.agent.init_task,
execution=task.model_dump()
)
resp = await agent.run(
message=task.input.text,
user_id=task.input.user.id,
session_id=task.memory_thread_id,
cli=False,
)
return AgentExecutionResult(result=resp.content, is_success=True)
except Exception as exc:
logger.exception("Error handling execution request")
return AgentExecutionResult(result=str(exc), is_success=False)
agent = SREAgent(xp_adapter)
# Execution callback (forward only)
async def handle_execution_request(task: AgentExecution) -> AgentExecutionResult:
try:
# Optional: register task for Xpander metrics
await asyncio.to_thread(
xp_adapter.agent.init_task,
execution=task.model_dump()
)
resp = await agent.run(
message=task.input.text,
user_id=task.input.user.id,
session_id=task.memory_thread_id,
cli=False,
)
return AgentExecutionResult(result=resp.content, is_success=True)
except Exception as exc:
logger.exception("Error handling execution request")
return AgentExecutionResult(result=str(exc), is_success=False)
🧰 Tools
🪛 Flake8 (7.2.0)

[error] 34-34: expected 2 blank lines, found 1

(E302)

🤖 Prompt for AI Agents
In sre-agent-xpander.ai/xpander_handler.py around lines 34 to 52, the function
handle_execution_request is missing the required two blank lines before its
definition. Add two blank lines above the async def handle_execution_request
line to comply with PEP 8 style guidelines for top-level function definitions.

Comment on lines +55 to +60
listener = XpanderEventListener(
api_key = cfg["api_key"],
organization_id = cfg["org_id"],
agent_id = cfg["agent_id"],
base_url = cfg["base_url"],
)
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🛠️ Refactor suggestion

Fix formatting issues in function call.

The parameter alignment has inconsistent spacing that violates PEP 8.

 listener = XpanderEventListener(
-    api_key         = cfg["api_key"],
-    organization_id = cfg["org_id"],
-    agent_id        = cfg["agent_id"],
-    base_url        = cfg["base_url"],
+    api_key=cfg["api_key"],
+    organization_id=cfg["org_id"],
+    agent_id=cfg["agent_id"],
+    base_url=cfg["base_url"],
 )
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
listener = XpanderEventListener(
api_key = cfg["api_key"],
organization_id = cfg["org_id"],
agent_id = cfg["agent_id"],
base_url = cfg["base_url"],
)
listener = XpanderEventListener(
api_key=cfg["api_key"],
organization_id=cfg["org_id"],
agent_id=cfg["agent_id"],
base_url=cfg["base_url"],
)
🧰 Tools
🪛 Flake8 (7.2.0)

[error] 56-56: unexpected spaces around keyword / parameter equals

(E251)


[error] 56-56: multiple spaces before operator

(E221)


[error] 56-56: unexpected spaces around keyword / parameter equals

(E251)


[error] 57-57: unexpected spaces around keyword / parameter equals

(E251)


[error] 57-57: unexpected spaces around keyword / parameter equals

(E251)


[error] 58-58: unexpected spaces around keyword / parameter equals

(E251)


[error] 58-58: multiple spaces before operator

(E221)


[error] 58-58: unexpected spaces around keyword / parameter equals

(E251)


[error] 59-59: unexpected spaces around keyword / parameter equals

(E251)


[error] 59-59: multiple spaces before operator

(E221)


[error] 59-59: unexpected spaces around keyword / parameter equals

(E251)

🤖 Prompt for AI Agents
In sre-agent-xpander.ai/xpander_handler.py around lines 55 to 60, the function
call to XpanderEventListener has inconsistent spacing for the parameters,
violating PEP 8. Adjust the spacing so that each parameter assignment uses a
single space before and after the equals sign, aligning with PEP 8 style
guidelines for function calls.

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

cfg = json.loads(Path("xpander_config.json").read_text())
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🛠️ Refactor suggestion

Add error handling for configuration file loading.

The current implementation will raise an unhandled exception if the configuration file is missing or malformed.

-cfg = json.loads(Path("xpander_config.json").read_text())
+try:
+    cfg = json.loads(Path("xpander_config.json").read_text())
+except FileNotFoundError:
+    logger.error("Configuration file 'xpander_config.json' not found")
+    raise
+except json.JSONDecodeError as e:
+    logger.error("Invalid JSON in configuration file: %s", e)
+    raise

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
In sre-agent-xpander.ai/xpander_handler.py at line 20, the code loads the
configuration file without error handling, which can cause unhandled exceptions
if the file is missing or malformed. Wrap the json.loads call in a try-except
block to catch exceptions like FileNotFoundError and json.JSONDecodeError, and
handle them gracefully by logging an error message and exiting or providing a
fallback configuration.

Comment on lines +43 to +46
```bash
cp .env.example
cp xpander_config.json.example
```
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⚠️ Potential issue

Fix incomplete copy commands in setup instructions.

The copy commands are missing destination filenames, which will cause errors when users follow the instructions.

 ```bash
-cp .env.example
-cp xpander_config.json.example
+cp .env.example .env
+cp xpander_config.json.example xpander_config.json

<details>
<summary>🤖 Prompt for AI Agents</summary>

In sre-agent-xpander.ai/README.md around lines 43 to 46, the copy commands are
incomplete because they lack destination filenames. Update the commands to
specify the target filenames explicitly: change "cp .env.example" to "cp
.env.example .env" and "cp xpander_config.json.example" to "cp
xpander_config.json.example xpander_config.json" to ensure the files are copied
correctly during setup.


</details>

<!-- This is an auto-generated comment by CodeRabbit -->

<!-- fingerprinting:phantom:poseidon:panther -->

Comment on lines +65 to +76
# remove code fences
clean = FENCE.sub(
lambda m: "\n".join(m.group(0).splitlines()[1:-1]), resp.content
)
# search anywhere for kubectl
m = KUBECTL.search(clean)
if m:
flags = m.group(1).splitlines()[0].strip()
resp.content = self.ktool.kubectl(flags)
t_logger.info("ran kubectl %s", flags)
return resp

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⚠️ Potential issue

Preserve AI response context when executing kubectl commands.

The current implementation replaces the entire response content with just the kubectl output, losing the AI's explanation and context. Consider appending the output instead.

 # remove code fences
 clean = FENCE.sub(
     lambda m: "\n".join(m.group(0).splitlines()[1:-1]), resp.content
 )
 # search anywhere for kubectl
 m = KUBECTL.search(clean)
 if m:
     flags = m.group(1).splitlines()[0].strip()
-    resp.content = self.ktool.kubectl(flags)
+    kubectl_output = self.ktool.kubectl(flags)
+    resp.content = f"{resp.content}\n\n**Command output:**\n```\n{kubectl_output}\n```"
     t_logger.info("ran kubectl %s", flags)
 return resp
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
# remove code fences
clean = FENCE.sub(
lambda m: "\n".join(m.group(0).splitlines()[1:-1]), resp.content
)
# search anywhere for kubectl
m = KUBECTL.search(clean)
if m:
flags = m.group(1).splitlines()[0].strip()
resp.content = self.ktool.kubectl(flags)
t_logger.info("ran kubectl %s", flags)
return resp
# remove code fences
clean = FENCE.sub(
lambda m: "\n".join(m.group(0).splitlines()[1:-1]), resp.content
)
# search anywhere for kubectl
m = KUBECTL.search(clean)
if m:
flags = m.group(1).splitlines()[0].strip()
kubectl_output = self.ktool.kubectl(flags)
resp.content = f"{resp.content}\n\n**Command output:**\n
🤖 Prompt for AI Agents
In sre-agent-xpander.ai/sre_agent.py around lines 65 to 76, the code replaces
the entire response content with the kubectl command output, losing the original
AI response context. Modify the code to append the kubectl output to the
existing resp.content instead of replacing it, preserving the AI's explanation
and context while including the command result.

Comment on lines +93 to +106
async def _cli() -> None:
load_dotenv()
cfg = json.loads(Path("xpander_config.json").read_text())
backend = await asyncio.to_thread(
AgnoAdapter,
agent_id=cfg["agent_id"], api_key=cfg["api_key"], base_url=cfg.get("base_url")
)
agent = SREAgent(backend)
while True:
text = input("➜ ").strip()
if text.lower() in {"exit","quit"}:
break
print((await agent.run(text, user_id="cli", session_id="dev", cli=True)).content)

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⚠️ Potential issue

Add error handling for configuration loading.

The code assumes xpander_config.json exists and is valid JSON. Add proper error handling.

 async def _cli() -> None:
     load_dotenv()
-    cfg = json.loads(Path("xpander_config.json").read_text())
+    try:
+        cfg = json.loads(Path("xpander_config.json").read_text())
+    except (FileNotFoundError, json.JSONDecodeError) as e:
+        print(f"Error loading configuration: {e}")
+        return
+    
     backend = await asyncio.to_thread(
         AgnoAdapter,
         agent_id=cfg["agent_id"], api_key=cfg["api_key"], base_url=cfg.get("base_url")
     )
     agent = SREAgent(backend)
     while True:
         text = input("➜ ").strip()
-        if text.lower() in {"exit","quit"}:
+        if text.lower() in {"exit", "quit"}:
             break
         print((await agent.run(text, user_id="cli", session_id="dev", cli=True)).content)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
async def _cli() -> None:
load_dotenv()
cfg = json.loads(Path("xpander_config.json").read_text())
backend = await asyncio.to_thread(
AgnoAdapter,
agent_id=cfg["agent_id"], api_key=cfg["api_key"], base_url=cfg.get("base_url")
)
agent = SREAgent(backend)
while True:
text = input("➜ ").strip()
if text.lower() in {"exit","quit"}:
break
print((await agent.run(text, user_id="cli", session_id="dev", cli=True)).content)
async def _cli() -> None:
load_dotenv()
try:
cfg = json.loads(Path("xpander_config.json").read_text())
except (FileNotFoundError, json.JSONDecodeError) as e:
print(f"Error loading configuration: {e}")
return
backend = await asyncio.to_thread(
AgnoAdapter,
agent_id=cfg["agent_id"], api_key=cfg["api_key"], base_url=cfg.get("base_url")
)
agent = SREAgent(backend)
while True:
text = input("➜ ").strip()
if text.lower() in {"exit", "quit"}:
break
print((await agent.run(text, user_id="cli", session_id="dev", cli=True)).content)
🧰 Tools
🪛 Flake8 (7.2.0)

[error] 93-93: expected 2 blank lines, found 1

(E302)


[error] 103-103: missing whitespace after ','

(E231)

🤖 Prompt for AI Agents
In sre-agent-xpander.ai/sre_agent.py around lines 93 to 106, the code reads and
parses xpander_config.json without handling errors, which can cause crashes if
the file is missing or contains invalid JSON. Add try-except blocks around the
file reading and JSON parsing to catch FileNotFoundError and JSONDecodeError,
and handle these exceptions gracefully by logging an error message and exiting
or prompting the user accordingly.

Comment on lines +1 to +8
import asyncio
import json
import logging
import re
import subprocess
from pathlib import Path
from typing import Optional, Any

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💡 Verification agent

🧩 Analysis chain

Verify shlex module availability for security fix.

The security fix for command injection requires the shlex module.


🏁 Script executed:

#!/bin/bash
# Description: Verify that shlex is part of Python standard library and check for its usage in the codebase

# Test 1: Check if shlex is mentioned in any Python files
echo "Checking for existing shlex usage in the codebase:"
rg -l "import shlex|from shlex import" --type py

# Test 2: Verify shlex is available in Python standard library  
python3 -c "import shlex; print('shlex module is available')"

Length of output: 257


Add shlex import for secure command handling and validate kubectl commands

Since shlex is available in the Python standard library, import it now to safely split and sanitize any shell commands. You should also consider enforcing a whitelist of allowed kubectl subcommands for an extra layer of security.

Suggested changes in sre-agent-xpander.ai/sre_agent.py (at the top, after existing imports):

 import subprocess
+import shlex
 from pathlib import Path
 from typing import Optional, Any

• Add import shlex to enable secure parsing of arguments before passing them to subprocess.
• Implement a whitelist check for kubectl operations to ensure only approved commands run.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
import asyncio
import json
import logging
import re
import subprocess
from pathlib import Path
from typing import Optional, Any
import asyncio
import json
import logging
import re
import subprocess
import shlex
from pathlib import Path
from typing import Optional, Any
🤖 Prompt for AI Agents
In sre-agent-xpander.ai/sre_agent.py at the top near lines 1 to 8, add an import
statement for the shlex module to enable secure parsing of shell command
arguments. Then, implement a whitelist of allowed kubectl subcommands and
validate any kubectl command against this list before execution to prevent
unauthorized or unsafe commands from running.

Comment on lines +26 to +33
def __init__(self) -> None:
super().__init__([self.name], env={})
# capture context once
self.ctx = subprocess.run(
["kubectl","config","current-context"],
capture_output=True, text=True, check=False
).stdout.strip()

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⚠️ Potential issue

Add error handling for kubectl context retrieval.

The kubectl config command could fail if kubectl is not installed or configured properly. Consider handling this gracefully.

 def __init__(self) -> None:
     super().__init__([self.name], env={})
     # capture context once
-    self.ctx = subprocess.run(
-        ["kubectl","config","current-context"],
-        capture_output=True, text=True, check=False
-    ).stdout.strip()
+    try:
+        result = subprocess.run(
+            ["kubectl", "config", "current-context"],
+            capture_output=True, text=True, check=False
+        )
+        self.ctx = result.stdout.strip() if result.returncode == 0 else ""
+    except FileNotFoundError:
+        t_logger.warning("kubectl not found in PATH")
+        self.ctx = ""
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def __init__(self) -> None:
super().__init__([self.name], env={})
# capture context once
self.ctx = subprocess.run(
["kubectl","config","current-context"],
capture_output=True, text=True, check=False
).stdout.strip()
def __init__(self) -> None:
super().__init__([self.name], env={})
# capture context once
try:
result = subprocess.run(
["kubectl", "config", "current-context"],
capture_output=True, text=True, check=False
)
self.ctx = result.stdout.strip() if result.returncode == 0 else ""
except FileNotFoundError:
t_logger.warning("kubectl not found in PATH")
self.ctx = ""
🧰 Tools
🪛 Flake8 (7.2.0)

[error] 30-30: missing whitespace after ','

(E231)


[error] 30-30: missing whitespace after ','

(E231)

🤖 Prompt for AI Agents
In sre-agent-xpander.ai/sre_agent.py around lines 26 to 33, the subprocess call
to retrieve the kubectl current context lacks error handling. Modify the code to
catch exceptions from subprocess.run and check the return code; if the command
fails or kubectl is not installed, handle the error gracefully by setting a
default context value or logging an appropriate error message without crashing.

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