feat: Complete PentAGI-FixOps integration#196
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DevOpsMadDog merged 1 commit intoDec 8, 2025
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Integrate PentAGI with FixOps for advanced AI-driven penetration testing. Includes multi-AI orchestration, exploit generation, continuous validation, and automated remediation. Co-authored-by: shivakumaar.umasudan <shivakumaar.umasudan@devopsai.co>
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14 issues found across 12 files
Prompt for AI agents (all 14 issues)
Check if these issues are valid — if so, understand the root cause of each and fix them.
<file name="pentagi">
<violation number="1" location="pentagi:1">
P1: Missing `.gitmodules` file for the submodule. When adding a git submodule, a `.gitmodules` file must be present to define the submodule's URL and path. Without it, `git submodule init` and `git submodule update` will fail for users cloning this repository.
Expected `.gitmodules` content:
[submodule "pentagi"]
path = pentagi
url = https://github.com/vxcontrol/pentagi.git
</file>
<file name="core/automated_remediation.py">
<violation number="1" location="core/automated_remediation.py:8">
P0: Missing `import json` at module level. The code uses `json.dumps()` and `json.loads()` in multiple methods (`_get_architect_remediation`, `_get_developer_remediation`, `_get_lead_remediation`, `_check_for_regressions`) but `json` is not imported at the top of the file. This will cause `NameError: name 'json' is not defined` at runtime.</violation>
</file>
<file name="core/continuous_validation.py">
<violation number="1" location="core/continuous_validation.py:120">
P1: Background tasks are created without storing references. This prevents proper cancellation, exception handling, and graceful shutdown. Store task references and cancel/await them in `stop()`.</violation>
<violation number="2" location="core/continuous_validation.py:421">
P0: Missing `json` import. The code uses `json.loads(response)` but the `json` module is not imported, which will cause a `NameError` at runtime.</violation>
</file>
<file name="core/pentagi_advanced.py">
<violation number="1" location="core/pentagi_advanced.py:297">
P2: Variable `avg_priority` is calculated but never used. Either remove this dead code or include it in the returned `ConsensusDecision` (e.g., in metadata).</violation>
</file>
<file name="tests/test_pentagi_integration.py">
<violation number="1" location="tests/test_pentagi_integration.py:3">
P3: Unused import `asyncio`. The async test functionality is handled by `pytest-asyncio` via the `@pytest.mark.asyncio` decorator.</violation>
<violation number="2" location="tests/test_pentagi_integration.py:4">
P3: Unused import `json`. This module is not used anywhere in the test file.</violation>
<violation number="3" location="tests/test_pentagi_integration.py:6">
P3: Unused import `datetime`. This class is not used anywhere in the test file.</violation>
</file>
<file name="core/exploit_generator.py">
<violation number="1" location="core/exploit_generator.py:275">
P1: Accessing `vulnerabilities[0]` as fallback will raise `IndexError` if the list is empty. Add validation to ensure `vulnerabilities` is non-empty before using it, or handle the empty case appropriately.</violation>
</file>
<file name="apps/pentagi_integration.py">
<violation number="1" location="apps/pentagi_integration.py:348">
P1: The `optimize_exploit` endpoint will never find any payloads because `IntelligentExploitGenerator` is instantiated fresh for each request via dependency injection. The `generated_exploits` cache will always be empty. Consider using a shared/singleton generator instance or persisting exploits to a database.</violation>
<violation number="2" location="apps/pentagi_integration.py:404">
P1: The `ContinuousValidationEngine` is instantiated fresh for each request via dependency injection. This means `active_jobs`, `completed_jobs`, and `posture_history` will always be empty, making `get_validation_job`, `get_security_posture`, and `get_posture_history` endpoints non-functional. Consider using a shared/singleton engine instance or persisting state to a database.</violation>
<violation number="3" location="apps/pentagi_integration.py:512">
P2: The health check endpoint returns exception details (`str(e)`) to the client, which could expose sensitive internal information. Return a generic error message instead.</violation>
</file>
<file name="docs/PENTAGI_ADVANCED_ARCHITECTURE.md">
<violation number="1" location="docs/PENTAGI_ADVANCED_ARCHITECTURE.md:405">
P2: Internal inconsistency: 'Success Criteria' section marks all items as complete (✅) while the 'Roadmap' section shows most features as pending (⏳). Success criteria shouldn't be marked complete if the underlying features are still in development.</violation>
</file>
<file name="PENTAGI_INTEGRATION_COMPLETE.md">
<violation number="1" location="PENTAGI_INTEGRATION_COMPLETE.md:209">
P3: The `docker-compose` command (hyphenated) is deprecated. Docker Compose V2 uses `docker compose` (space-separated) as a Docker CLI plugin. Consider updating to the modern syntax for better compatibility with current Docker installations.</violation>
</file>
Reply to cubic to teach it or ask questions. Re-run a review with @cubic-dev-ai review this PR
| @@ -0,0 +1 @@ | |||
| Subproject commit 7512bac809786284191493086f59214077850779 | |||
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P1: Missing .gitmodules file for the submodule. When adding a git submodule, a .gitmodules file must be present to define the submodule's URL and path. Without it, git submodule init and git submodule update will fail for users cloning this repository.
Expected .gitmodules content:
[submodule "pentagi"]
path = pentagi
url = https://github.com/vxcontrol/pentagi.git
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At pentagi, line 1:
<comment>Missing `.gitmodules` file for the submodule. When adding a git submodule, a `.gitmodules` file must be present to define the submodule's URL and path. Without it, `git submodule init` and `git submodule update` will fail for users cloning this repository.
Expected `.gitmodules` content:
[submodule "pentagi"]
path = pentagi
url = https://github.com/vxcontrol/pentagi.git
<file context>
@@ -0,0 +1 @@
+Subproject commit 7512bac809786284191493086f59214077850779
</file context>
| from dataclasses import dataclass, field | ||
| from datetime import datetime | ||
| from enum import Enum | ||
| from typing import Any, Dict, List, Optional, Tuple |
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P0: Missing import json at module level. The code uses json.dumps() and json.loads() in multiple methods (_get_architect_remediation, _get_developer_remediation, _get_lead_remediation, _check_for_regressions) but json is not imported at the top of the file. This will cause NameError: name 'json' is not defined at runtime.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At core/automated_remediation.py, line 8:
<comment>Missing `import json` at module level. The code uses `json.dumps()` and `json.loads()` in multiple methods (`_get_architect_remediation`, `_get_developer_remediation`, `_get_lead_remediation`, `_check_for_regressions`) but `json` is not imported at the top of the file. This will cause `NameError: name 'json' is not defined` at runtime.</comment>
<file context>
@@ -0,0 +1,644 @@
+from dataclasses import dataclass, field
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict, List, Optional, Tuple
+
+from core.llm_providers import LLMProviderManager
</file context>
| self.running = True | ||
|
|
||
| # Start background tasks | ||
| asyncio.create_task(self._process_validation_queue()) |
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P1: Background tasks are created without storing references. This prevents proper cancellation, exception handling, and graceful shutdown. Store task references and cancel/await them in stop().
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At core/continuous_validation.py, line 120:
<comment>Background tasks are created without storing references. This prevents proper cancellation, exception handling, and graceful shutdown. Store task references and cancel/await them in `stop()`.</comment>
<file context>
@@ -0,0 +1,473 @@
+ self.running = True
+
+ # Start background tasks
+ asyncio.create_task(self._process_validation_queue())
+ asyncio.create_task(self._scheduled_validation_loop())
+ asyncio.create_task(self._posture_assessment_loop())
</file context>
| try: | ||
| # Use Gemini (architect role) for strategic recommendations | ||
| response = await self.orchestrator._call_llm("gemini", prompt) | ||
| recommendations = json.loads(response) |
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P0: Missing json import. The code uses json.loads(response) but the json module is not imported, which will cause a NameError at runtime.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At core/continuous_validation.py, line 421:
<comment>Missing `json` import. The code uses `json.loads(response)` but the `json` module is not imported, which will cause a `NameError` at runtime.</comment>
<file context>
@@ -0,0 +1,473 @@
+ try:
+ # Use Gemini (architect role) for strategic recommendations
+ response = await self.orchestrator._call_llm("gemini", prompt)
+ recommendations = json.loads(response)
+ return recommendations if isinstance(recommendations, list) else []
+ except Exception as e:
</file context>
| avg_confidence = ( | ||
| architect.confidence + developer.confidence + lead.confidence | ||
| ) / 3 | ||
| avg_priority = (architect.priority + developer.priority + lead.priority) / 3 |
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P2: Variable avg_priority is calculated but never used. Either remove this dead code or include it in the returned ConsensusDecision (e.g., in metadata).
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At core/pentagi_advanced.py, line 297:
<comment>Variable `avg_priority` is calculated but never used. Either remove this dead code or include it in the returned `ConsensusDecision` (e.g., in metadata).</comment>
<file context>
@@ -0,0 +1,745 @@
+ avg_confidence = (
+ architect.confidence + developer.confidence + lead.confidence
+ ) / 3
+ avg_priority = (architect.priority + developer.priority + lead.priority) / 3
+
+ return ConsensusDecision(
</file context>
|
|
||
| except Exception as e: | ||
| logger.error(f"Health check failed: {e}") | ||
| return {"status": "unhealthy", "error": str(e)} |
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P2: The health check endpoint returns exception details (str(e)) to the client, which could expose sensitive internal information. Return a generic error message instead.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At apps/pentagi_integration.py, line 512:
<comment>The health check endpoint returns exception details (`str(e)`) to the client, which could expose sensitive internal information. Return a generic error message instead.</comment>
<file context>
@@ -0,0 +1,512 @@
+
+ except Exception as e:
+ logger.error(f"Health check failed: {e}")
+ return {"status": "unhealthy", "error": str(e)}
</file context>
| job_id: str, engine: ContinuousValidationEngine = Depends(get_validation_engine) | ||
| ) -> Dict: | ||
| """Get status of a validation job.""" | ||
| if job_id in engine.active_jobs: |
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P1: The ContinuousValidationEngine is instantiated fresh for each request via dependency injection. This means active_jobs, completed_jobs, and posture_history will always be empty, making get_validation_job, get_security_posture, and get_posture_history endpoints non-functional. Consider using a shared/singleton engine instance or persisting state to a database.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At apps/pentagi_integration.py, line 404:
<comment>The `ContinuousValidationEngine` is instantiated fresh for each request via dependency injection. This means `active_jobs`, `completed_jobs`, and `posture_history` will always be empty, making `get_validation_job`, `get_security_posture`, and `get_posture_history` endpoints non-functional. Consider using a shared/singleton engine instance or persisting state to a database.</comment>
<file context>
@@ -0,0 +1,512 @@
+ job_id: str, engine: ContinuousValidationEngine = Depends(get_validation_engine)
+) -> Dict:
+ """Get status of a validation job."""
+ if job_id in engine.active_jobs:
+ return engine.active_jobs[job_id].to_dict()
+
</file context>
| ) -> Dict: | ||
| """Optimize an exploit payload.""" | ||
| # Get the payload from generator's cache | ||
| if payload_id not in generator.generated_exploits: |
Contributor
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P1: The optimize_exploit endpoint will never find any payloads because IntelligentExploitGenerator is instantiated fresh for each request via dependency injection. The generated_exploits cache will always be empty. Consider using a shared/singleton generator instance or persisting exploits to a database.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At apps/pentagi_integration.py, line 348:
<comment>The `optimize_exploit` endpoint will never find any payloads because `IntelligentExploitGenerator` is instantiated fresh for each request via dependency injection. The `generated_exploits` cache will always be empty. Consider using a shared/singleton generator instance or persisting exploits to a database.</comment>
<file context>
@@ -0,0 +1,512 @@
+) -> Dict:
+ """Optimize an exploit payload."""
+ # Get the payload from generator's cache
+ if payload_id not in generator.generated_exploits:
+ raise HTTPException(
+ status_code=status.HTTP_404_NOT_FOUND, detail="Exploit payload not found"
</file context>
| ## Success Criteria | ||
|
|
||
| ### Technical Metrics | ||
| - ✅ Multi-AI orchestration functional |
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P2: Internal inconsistency: 'Success Criteria' section marks all items as complete (✅) while the 'Roadmap' section shows most features as pending (⏳). Success criteria shouldn't be marked complete if the underlying features are still in development.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At docs/PENTAGI_ADVANCED_ARCHITECTURE.md, line 405:
<comment>Internal inconsistency: 'Success Criteria' section marks all items as complete (✅) while the 'Roadmap' section shows most features as pending (⏳). Success criteria shouldn't be marked complete if the underlying features are still in development.</comment>
<file context>
@@ -0,0 +1,429 @@
+## Success Criteria
+
+### Technical Metrics
+- ✅ Multi-AI orchestration functional
+- ✅ <5% false positive rate
+- ✅ <10 minute exploit validation
</file context>
|
|
||
| # 4. Start PentAGI (in another terminal) | ||
| cd /workspace/pentagi | ||
| docker-compose up -d |
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P3: The docker-compose command (hyphenated) is deprecated. Docker Compose V2 uses docker compose (space-separated) as a Docker CLI plugin. Consider updating to the modern syntax for better compatibility with current Docker installations.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At PENTAGI_INTEGRATION_COMPLETE.md, line 209:
<comment>The `docker-compose` command (hyphenated) is deprecated. Docker Compose V2 uses `docker compose` (space-separated) as a Docker CLI plugin. Consider updating to the modern syntax for better compatibility with current Docker installations.</comment>
<file context>
@@ -0,0 +1,496 @@
+
+# 4. Start PentAGI (in another terminal)
+cd /workspace/pentagi
+docker-compose up -d
+
+# 5. Start FixOps
</file context>
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Integrate PentAGI with FixOps for advanced AI-driven penetration testing. Includes multi-AI orchestration, exploit generation, continuous validation, and automated remediation.
Summary by cubic
Completed PentAGI-FixOps integration to deliver automated penetration testing with multi-model orchestration, exploit generation, continuous validation, and automated remediation. Adds new API surface, core engines, docs, and tests.
New Features
Migration
Written for commit 2cb901c. Summary will update automatically on new commits.