Developing Genkit Python
Skill AktivDevelop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
To guide users in developing AI applications using Genkit in Python, from initial setup to handling common errors and implementing advanced patterns.
Funktionen
- Genkit Python development guidance
- Setup instructions with dependency management
- Code examples for core Genkit features
- Troubleshooting for common Genkit errors
- Documentation on flows, tools, and streaming
Anwendungsfälle
- Learning to use Genkit in Python
- Setting up a new Genkit Python project
- Implementing Genkit flows and tools
- Resolving Genkit import or API errors
Nicht-Ziele
- Providing pre-built Genkit applications
- Acting as a runtime for Genkit applications
- Replacing the official Genkit Python SDK documentation
Documentation
- info:Configuration & parameter referenceThe skill mentions prerequisites like Python version and `uv` for dependencies, but the explicit configuration parameters for Genkit itself (like API keys or model settings beyond the default) are implicitly handled by Genkit's environment variable system and are not exhaustively documented within this skill's direct documentation.
Security
- warning:Secret ManagementThe documentation clearly states the need for a `GEMINI_API_KEY` and instructs to export it as an environment variable, but it does not explicitly warn against committing this key or provide guidance on more secure secret management practices beyond basic environment variable usage.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add firebase/agent-skills/plugin install agent-skills@firebaseQualitätspunktzahl
Vertrauenssignale
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