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agenta-1-prompt-versioning-and-management

vamseeachanta
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Über

Diese Fähigkeit ermöglicht Versionskontrolle und -verwaltung für KI-Prompts, wodurch Entwickler Änderungen nachverfolgen, Iterationen vergleichen und den Prompt-Verlauf pflegen können. Sie bietet Werkzeuge zur Erstellung versionierter Prompt-Vorlagen mit Parametern wie Stil und Längenbeschränkungen. Nutzen Sie dies, wenn Sie reproduzierbare, überprüfbare Prompt-Workflows über verschiedene Modellversionen oder Teamkooperationen hinweg benötigen.

Schnellinstallation

Claude Code

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npx skills add vamseeachanta/workspace-hub
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/plugin add https://github.com/vamseeachanta/workspace-hub
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git clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agenta-1-prompt-versioning-and-management

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

1. Prompt Versioning and Management

1. Prompt Versioning and Management

Creating Versioned Prompts:

"""
Create and manage versioned prompts with Agenta.
"""
import agenta as ag
from agenta import Agenta
from typing import Optional, Dict, Any

# Initialize Agenta
ag.init()

@ag.entrypoint
def generate_summary(
    text: str,
    max_length: int = 100,
    style: str = "professional"
) -> str:
    """
    Generate a summary with versioned prompt.

    Args:
        text: Text to summarize
        max_length: Maximum summary length
        style: Writing style (professional, casual, technical)

    Returns:
        Generated summary
    """
    # Define prompt template (this becomes versioned)
    prompt = f"""Summarize the following text in a {style} tone.
Keep the summary under {max_length} words.

Text: {text}

Summary:"""

    # Call LLM (Agenta tracks this)
    response = ag.llm.complete(
        prompt=prompt,
        model="gpt-4",
        temperature=0.3,
        max_tokens=max_length * 2
    )

    return response.text


# Example usage
text = """
The company reported strong Q3 results with revenue up 25% year-over-year.
Operating margins improved to 18% from 15% in the prior year.
The CEO highlighted expansion into new markets and product launches.
"""

summary = generate_summary(text, max_length=50, style="professional")
print(summary)

Managing Prompt Versions:

"""
Manage multiple prompt versions programmatically.
"""
import agenta as ag
from agenta import Agenta
from dataclasses import dataclass
from typing import List, Dict, Optional
from datetime import datetime

@dataclass
class PromptVersion:
    """Represents a prompt version."""
    version_id: str
    name: str
    template: str
    parameters: Dict[str, Any]
    created_at: datetime
    is_active: bool = False


class PromptManager:
    """
    Manage prompt versions with Agenta.
    """

    def __init__(self, app_name: str):
        self.app_name = app_name
        self.client = Agenta()

    def create_version(
        self,
        name: str,
        template: str,
        parameters: Dict[str, Any] = None
    ) -> PromptVersion:
        """
        Create a new prompt version.

        Args:
            name: Version name
            template: Prompt template
            parameters: Default parameters

        Returns:
            Created PromptVersion
        """
        # Create variant in Agenta
        variant = self.client.create_variant(
            app_name=self.app_name,
            variant_name=name,
            config={
                "template": template,
                "parameters": parameters or {}
            }
        )

        return PromptVersion(
            version_id=variant.id,
            name=name,
            template=template,
            parameters=parameters or {},
            created_at=datetime.now(),
            is_active=False
        )

    def list_versions(self) -> List[PromptVersion]:
        """List all prompt versions."""
        variants = self.client.list_variants(app_name=self.app_name)

        versions = []
        for v in variants:
            versions.append(PromptVersion(
                version_id=v.id,
                name=v.name,
                template=v.config.get("template", ""),
                parameters=v.config.get("parameters", {}),
                created_at=v.created_at,
                is_active=v.is_default
            ))

        return versions

    def set_active_version(self, version_id: str) -> None:
        """Set a version as the active/default version."""
        self.client.set_default_variant(
            app_name=self.app_name,
            variant_id=version_id
        )

    def get_version(self, version_id: str) -> PromptVersion:
        """Get a specific version."""
        variant = self.client.get_variant(variant_id=version_id)

        return PromptVersion(
            version_id=variant.id,
            name=variant.name,
            template=variant.config.get("template", ""),
            parameters=variant.config.get("parameters", {}),
            created_at=variant.created_at,
            is_active=variant.is_default
        )

    def compare_versions(
        self,
        version_ids: List[str],
        test_input: str
    ) -> Dict[str, str]:
        """
        Compare outputs from multiple versions.

        Args:
            version_ids: List of version IDs to compare
            test_input: Input to test with

        Returns:
            Dictionary mapping version_id to output
        """
        results = {}

        for vid in version_ids:
            version = self.get_version(vid)

            # Format prompt with test input

*Content truncated — see parent skill for full reference.*

GitHub Repository

vamseeachanta/workspace-hub
Pfad: .claude/skills/ai/prompting/agenta/1-prompt-versioning-and-management

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