OpenAI Cloud
Use your own OpenAI account in Diaflow to generate text, analyze content, and support business tasks.
The OpenAI Cloud node lets you use OpenAI inside a Diaflow workflow with your own API key. It is a good fit when your team already has an OpenAI account and wants direct control over model choice, usage, and cost.
You can use this node for common business tasks such as writing replies, summarizing documents, extracting key points, classifying content, or creating structured answers from internal data.
Diaflow runs the workflow. OpenAI charges usage to your own OpenAI account.
What this node does
The node takes your instruction, sends it to the selected OpenAI model, and returns the result to the next step in the workflow. Depending on the model you choose, the result can support different types of work, but most business workflows use it for text generation and content understanding.
You can also pass in content from earlier steps. For example, you can send customer questions, uploaded text, knowledge base results, or form responses into this node and ask OpenAI to turn them into a useful business answer.
When to use it
Use OpenAI Cloud when you want to connect Diaflow to your own OpenAI setup instead of using a model managed inside Diaflow. This is useful when your company already works with OpenAI, needs a specific OpenAI model, or wants billing to stay under the company’s OpenAI account.
Common use cases include:
Summarize reports, emails, and meeting notes.
Draft customer replies, proposals, or internal updates.
Turn raw text into clean categories, answers, or JSON-style output.
Before you start
Make sure you have:
An active OpenAI account.
A valid OpenAI API key.
Permission to use the model you want.
How to set it up
Set up the node in this order:
In Credentials, choose your saved OpenAI key.
In Model, choose the OpenAI model that fits your task.
In Prompt, describe what you want the model to do.
Run the node and review the result.
If you want the model to work from earlier workflow data, insert that data into the prompt with @.
What each field means
Credentials
This is where you select the OpenAI API key your team wants to use. If the correct key is not listed, use Manage to add it, then use Refresh to reload the list.
Model
This is where you choose the OpenAI model. The list depends on the key and account you connected.
For most business users, the choice is simple:
Choose a general text model for writing, summarizing, and question answering.
Choose a stronger model when output quality matters more than speed or cost.
Choose a specialized model only when your use case clearly requires it.
If you are unsure, start with a general-purpose text model and test the output on a real business example.
Prompt
This is the instruction you give the model. Write it in plain language and focus on the business outcome you want.
A strong prompt usually includes:
the task
the context
the expected format
For example:
If your workflow already has data from previous steps, insert it into the prompt with @ so the model uses that content instead of guessing.
Image source
Some OpenAI models support image-based tasks. When that option appears, use it to send an image from an earlier step into the model. This is only needed when your workflow is analyzing or working from images.
Advanced configurations
Open Show advanced configurations when you need more control.
Enable caching
Caching reuses a previous result when the same input runs again. This can help save time and reduce repeated calls.
Use caching when the same request is likely to run more than once and the answer does not need to change every time.
Caching time
This controls how long the cached result stays available. A short caching time is useful when the content changes often. A longer caching time is useful when the request stays the same across repeated runs.
Memory
When available, Memory helps the node keep track of earlier context in a longer interaction. This is more useful in conversational or multi-step experiences than in one-time tasks.
Max token
This limits how long the model response can be. Use a lower value when you want short answers. Increase it when you need fuller summaries, longer drafts, or more detailed output.
Output format
If you see an output format field such as Formatted, use it to guide how the answer should come back. This is helpful when another node needs a predictable structure.
What you get back
The node returns the model’s result to the next step in your workflow. In most cases, that result is text. You can send it to an output node, save it, transform it, or pass it into another business process.
Tips for business users
Start with one clear task per prompt.
Ask for a specific format such as bullets, JSON, or a short summary.
Test with real content, not placeholder text.
If the answer is too broad, tighten the instruction instead of only changing the model.
Next steps
Compare other providers in Public AI/LLM Models.
Learn the workflow basics in Overview.
Browse more nodes in Component List.
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