Code Reviewer Bot

A specialized AI agent designed to perform comprehensive code reviews and analysis. This bot excels at examining code changes, identifying potential issues, and providing actionable feedback to improve code quality, security, and maintainability. Key Capabilities: - Analyzes code diffs and patches to understand changes - Identifies bugs, security vulnerabilities, and code smells - Suggests improvements for performance, readability, and best practices - Provides detailed feedback with specific examples and recommendations - Integrates with GitHub to post review comments directly on pull requests - Extracts and processes JSON/YAML configurations for analysis

LIVE

Test Agent

Purpose

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 Diff Tool

Parse a .diff/.patch text into structured hunks. Returns: {"hunks":[{"file","header","added","removed","snippet"}]}

def parse_diff_tool(diff_text: str) -> Dict[str, Any]:
    """
    Parse a .diff/.patch text into structured hunks.
    Returns: {"hunks":[{"file","header","added","removed","snippet"}]}
    """
    if not diff_text:
        return {"hunks": []}

    hunks: List[Dict[str, Any]] = []
    lines = diff_text.splitlines()
    cur_file: Optional[str] = None
    header = ""
    added: List[str] = []
    removed: List[str] = []
    snippet: List[str] = []

    def commit() -> None:
        nonlocal hunks, cur_file, header, added, removed, snippet
        if cur_file and (added or removed or snippet):
            hunks.append(
                {
                    "file": cur_file,
                    "header": header,
                    "added": added[:],
                    "removed": removed[:],
                    "snippet": "\n".join(snippet[-40:]),
                }
            )
        header, added, removed, snippet = "", [], [], []

    for ln in lines:
        if ln.startswith("diff --git "):
            commit()
            cur_file = None
        if ln.startswith("+++ ") or ln.startswith("--- "):
            if ln.startswith("+++ b/"):
                cur_file = ln[6:]
            elif ln.startswith("+++ "):
                cur_file = ln[4:]
        elif ln.startswith("@@ "):
            header = ln
        else:
            if ln.startswith("+"):
                added.append(ln[1:])
            elif ln.startswith("-"):
                removed.append(ln[1:])
            snippet.append(ln)

    commit()
    return {"hunks": hunks}

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}

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

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

Get in touch for a tailored pricing

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.

For enterprise deployments.

€Custom

one time payment

plus local taxes

Contact Sales

Tailored solutions — Custom pricing based on your organization's size and usage requirements.

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