ceven

Gemini

Connects Google Gemini models to your SaaS stack to generate text, images, and video, then pushes those assets directly into your CMS or social channels.

Try Gemini in Ceven

Ask Ceven anything
Standard

Why use Ceven?

  1. AI native Gemini integration

    • Describe the outcome and Ceven picks the right Gemini calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Gemini data, across all 7 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Gemini access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Gemini, when, and on whose behalf.
    • The agent pauses and asks when Gemini is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Gemini.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Gemini action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Gemini, and when to use it.

Generate Content
Use this when you need to create text based on a prompt using Gemini Flash or Pro models.
Generate Videos
Use this to start a video generation task with Veo based on a text description.
Generate Image
Create an image from a text prompt using the Gemini 2.5 Flash preview model.
Wait For Video
Poll a Veo operation until the video is finished and return the final URL.
Get Videos Operation
Check the current status of a specific Veo video generation task by its operation name.
Download Video
Save a completed Veo video from its URI to a specified storage path.
Embed Content
Convert text into numerical vectors for use in semantic search or clustering tasks.
Count Tokens
Calculate the token count of a text string to check input limits before sending.
List Models
Pull a list of all available Gemini and Veo models to check capabilities.
Count Tokens (Gemini)
Counts the number of tokens in text using gemini tokenization. useful for estimating costs, checking input limits, and optimizing prompts before making api calls.
Download Video (Veo)
Downloads a generated veo video to local storage. takes the video uri from a completed operation and saves it to the specified file path.
Embed Content (Gemini)
Generates text embeddings using gemini embedding models. converts text into numerical vectors for semantic search, similarity comparison, clustering, and classification tasks.
Generate Content (Gemini)
Generates text content from prompts using gemini models. supports various models like gemini flash and pro with configurable temperature, token limits, and safety settings for diverse text generation tasks.
Generate Image (Gemini 2.5 Flash)
Generates images from text prompts using gemini 2.5 flash image preview model. supports creative image generation with customizable parameters like aspect ratio, safety settings, and optional file saving.
Generate Videos (Veo)
Generates videos from text prompts using google's veo models. creates high quality video content with customizable aspect ratios, duration, and style controls. returns operation id for tracking progress.
Get Videos Operation (Veo)
Checks the status of a veo video generation operation. use the operation name from generatevideos to track progress and get the download url when complete.
List Models (Gemini API)
Lists available gemini and veo models with their capabilities and limits. useful for discovering supported models and their features before making generation requests.
Wait For Video (Veo)
Polls a veo video generation operation until completion or timeout. automatically checks status at intervals and returns the final video url when ready.

18 actions · scroll to see them all

Frequently asked questions

Video generation is an asynchronous process which means the API does not return the video immediately. When Ceven calls the Generate Videos action, Google returns an operation ID. The agent then uses the Wait For Video action to poll the API at set intervals. This prevents the workflow from timing out while the model renders the frames. Once the operation status changes to complete, the agent captures the download URI and proceeds to the next step in your workflow, such as uploading the file to a cloud drive or a social media manager. You can see the polling status in the Ceven execution log in real time.
For high volume tasks that require low latency, use Gemini Flash. It is optimized for speed and efficiency, making it ideal for summarizing short documents, drafting quick replies, or extracting data from a prompt. If your workflow requires deep reasoning, complex coding, or highly nuanced creative writing, you should switch the agent to Gemini Pro. Ceven allows you to specify the model in the action settings or let the agent choose based on the complexity of the prompt. Flash is generally more cost effective for simple repetitive tasks while Pro handles the heavy lifting for complex intellectual work.
Yes. You can use the Embed Content action to turn your documents into vectors. Ceven can run a loop over your entire knowledge base, generate an embedding for each paragraph, and store those vectors in a database like Pinecone or Weaviate. When a user asks a question, the agent embeds the query using the same Gemini model and performs a similarity search against your stored vectors. This allows the agent to find the most relevant context before generating a final answer, which significantly reduces hallucinations and ensures the response is grounded in your specific business data.
Rate limits vary depending on whether you use the free tier or the pay as you go plan. A common quirk is the RPM limit on the free tier, which can cause workflows to fail if you send too many requests in one minute. To handle this, Ceven implements an automatic retry logic with exponential backoff. If the agent receives a 429 rate limit error from Google, it will pause and try again after a short delay. For high volume production environments, we strongly recommend using a paid billing project in Google Cloud to increase your quotas and ensure consistent workflow performance.
Every call to a large language model costs a small amount based on the number of tokens processed. If you send a massive document that exceeds the model context window, the API will return an error and you may still be billed for the attempt. By using the Count Tokens action first, Ceven can check if the input is too large. If it is, the agent can automatically split the text into smaller chunks or summarize the input before sending it to the main generation model. This ensures your workflows are reliable and your API spend remains predictable and optimized.
No. The API treats text, image, and video generation as separate endpoints. To create a cohesive campaign, you must build a multi step workflow in Ceven. For example, you can first use Gemini Flash to generate a visual prompt for an image and a separate prompt for a video. The agent then calls the Generate Image and Generate Videos actions in parallel. Finally, it can use a text model to write the accompanying copy. While it happens in separate API calls, Ceven orchestrates these steps so they feel like a single operation from the user perspective.
When you use the Gemini API through a paid Google Cloud project, Google does not use your customer data or the prompts you send to train its global models. This provides an enterprise grade layer of privacy that is different from the consumer version of the Gemini chat app. Ceven simply passes your data to the API via a secure encrypted connection. However, if you are using the free tier of the AI Studio, different terms may apply. We always recommend checking your specific Google Cloud project settings to confirm your data governance and privacy preferences.
If a video generation operation fails, the Get Videos Operation action will return an error state along with a reason for the failure, such as a safety filter trigger or a system timeout. Ceven is programmed to catch these errors and can be configured to take a specific recovery action. For instance, you can set the agent to tweak the prompt slightly to avoid safety filters and try again, or send a notification to a Slack channel alerting a human that the asset failed to generate. This ensures that your content pipeline does not simply stop when a single asset fails.

Alternatives to Gemini

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

OpenAI logoOpenAIAnthropic logoAnthropicMistral AI logoMistral AI

Try Ceven on your stack

Plug Ceven on top of the tools you already run. Connect Gemini and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

Get started for free