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Software Development
Bug Detector Agent
A specialized AI agent designed to detect, analyze, and diagnose software bugs and issues. This agent excels at examining stack traces, error logs, and system behaviors to identify root causes and provide actionable solutions for bug resolution. Key Capabilities: - Analyzes stack traces and error logs to identify bug patterns - Detects runtime errors, exceptions, and system failures - Identifies performance bottlenecks and resource issues - Provides detailed bug reports with reproduction steps - Integrates with JIRA to create and track bug tickets - Processes JSON/YAML data for configuration-related issues - Offers debugging strategies and troubleshooting guidance
Purpose
A specialized AI agent designed to detect, analyze, and diagnose software bugs and issues. This agent excels at examining stack traces, error logs, and system behaviors to identify root causes and provide actionable solutions for bug resolution. Key Capabilities: - Analyzes stack traces and error logs to identify bug patterns - Detects runtime errors, exceptions, and system failures - Identifies performance bottlenecks and resource issues - Provides detailed bug reports with reproduction steps - Integrates with JIRA to create and track bug tickets - Processes JSON/YAML data for configuration-related issues - Offers debugging strategies and troubleshooting guidance
AI-Powered Intelligence — Advanced AI capabilities for automated processing and analysis
Enterprise Ready — Built for production with security, scalability, and reliability
Seamless Integration — Easy to integrate with your existing systems and workflows
Agent Capabilities
This agent is equipped with the following advanced capabilities:
Knowledge Base
Vector search & retrieval
Knowledge (NoneType)
Available Tools
Parse Stacktrace Tool
Extract file/line/symbol triples from mixed-language stack traces.
Returns: {"items":[{"file","line","symbol"}]}
Parse Stacktrace Tool
Extract file/line/symbol triples from mixed-language stack traces. Returns: {"items":[{"file","line","symbol"}]}
def parse_stacktrace_tool(text: str) -> Dict[str, Any]: """ Extract file/line/symbol triples from mixed-language stack traces. Returns: {"items":[{"file","line","symbol"}]} """ items: List[Dict[str, Any]] = [] if not text: return {"items": items} for pat in _STACK_PATTERNS: for m in pat.finditer(text): g = m.groups() if len(g) == 3 and str(g[1]).isdigit(): items.append({"file": g[0], "line": int(g[1]), "symbol": g[2]}) elif len(g) == 2 and str(g[1]).isdigit(): items.append({"file": g[0], "line": int(g[1]), "symbol": ""}) elif len(g) == 3 and str(g[2]).isdigit(): items.append({"file": g[1], "line": int(g[2]), "symbol": g[0]}) return {"items": items}
Extract Json Tool
Extract a JSON object from arbitrary text.
Returns: {"ok": bool, "data": dict | None}
Extract Json Tool
Extract a JSON object from arbitrary text. Returns: {"ok": bool, "data": dict | None}
def extract_json_tool(text: str) -> Dict[str, Any]: """ Extract a JSON object from arbitrary text. Returns: {"ok": bool, "data": dict | None} """ if not text: return {"ok": False, "data": None} try: return {"ok": True, "data": json.loads(text)} except Exception: start = text.find("{") end = text.rfind("}") if start >= 0 and end > start: try: return {"ok": True, "data": json.loads(text[start : end + 1])} except Exception: return {"ok": False, "data": None} return {"ok": False, "data": None}
Extract Yaml Tool
Extract a YAML object from text if PyYAML is available.
Returns: {"ok": bool, "data": dict | None}
Extract Yaml Tool
Extract a YAML object from text if PyYAML is available. Returns: {"ok": bool, "data": dict | None}
def extract_yaml_tool(text: str) -> Dict[str, Any]: """ Extract a YAML object from text if PyYAML is available. Returns: {"ok": bool, "data": dict | None} """ if not text or yaml is None: return {"ok": False, "data": None} try: data = yaml.safe_load(text) return {"ok": True, "data": data} except Exception: return {"ok": False, "data": None}
Reasoning Tools
ReasoningTools from agno framework
Reasoning Tools
ReasoningTools from agno framework
Required Inputs
Generated Outputs
Business Value
• Automated processing reduces manual effort and improves accuracy
• Consistent validation logic ensures compliance and audit readiness
• Early detection of issues minimizes downstream risks and costs
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Pricing
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Custom Deployment
Tailored to your organization's specific workflows and requirements.
Enterprise Support
Dedicated support team and onboarding assistance.
Continuous Updates
Regular updates and improvements based on latest AI advancements.
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For enterprise deployments.
€Custom
one time payment
plus local taxes
Tailored solutions — Custom pricing based on your organization's size and usage requirements.