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Prompt flow

Prompt Flow is an open-source Microsoft toolset for designing, evaluating, testing, and deploying workflows that combine prompts, language models, and code.

How 2 Manning books explain it

AI Agents in Action

A visual editor is a graphical interface for inspecting and modifying a flow without directly editing its underlying configuration text.

How it is used
Supports systematic prompt engineering by constructing agent profiles, running flows, deploying applications, and evaluating variations at scale.
How deep it goes
Explains setup, YAML and Jinja2 flows, deployment, batch evaluation, rubrics, and DAG execution, but defers broader implementation details.
Examples
Uses a time-travel movie recommender, question-answering flow, prompt variants, local web app, and self-consistency batch run.
What you can do after
Build prompt flows, run and compare variations, evaluate outputs with rubrics, and deploy a flow as a local application or Docker service.

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Generative AI in Action

Prompt Flow is a Microsoft open-source toolset for designing, evaluating, testing, and deploying workflows that combine prompts, language models, and code.

How it is used
Frames prompt engineering as an operational workflow for designing, evaluating, testing, and deploying AI applications.
How deep it goes
Defines the operational role and surrounding risks but does not provide a detailed flow implementation or API walkthrough.
Examples
Uses an operational lifecycle figure and situates Prompt Flow alongside MLflow and Traceloop observability examples.
What you can do after
Build and operate prompt-driven workflows while evaluating quality and recognizing production observability and security concerns.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.