Announcing Genkit for Python and Go
Blog post from Firebase
Genkit is an open-source framework for building AI-powered applications with unified access to models from Google, OpenAI, Anthropic, Ollama-supported open models, and other providers, alongside integrated development tooling and production observability for Google Cloud and Firebase. Following its stable Node.js release, Genkit has introduced an alpha Python SDK and beta Go SDK, offering consistent concepts for creating AI workflows, structured outputs, agentic tool use, plugins, testing, debugging, and evaluation. Python emphasizes concise asynchronous syntax and Pydantic-based typing for experimentation, while Go provides explicit, type-safe APIs aimed at scalable, increasingly production-ready applications. Available plugins support services including Google GenAI, Vertex AI—now called Agent Platform—Ollama, Firestore, Flask, Pinecone, pgvector, and telemetry tools, while the CLI and browser-based Developer UI enable developers to run flows, inspect execution traces, test datasets, and evaluate quality metrics. Both new SDKs remain below version 1.0 and may introduce breaking changes as Google works toward feature parity with Node.js and incorporates community feedback.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
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