ceven

APIpie AI

Connects your workflows to a unified AI model layer to route prompts to the cheapest or fastest model available, monitors token spend, and manages vector memory for RAG applications.

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Why use Ceven?

  1. AI native APIpie AI integration

    • Describe the outcome and Ceven picks the right APIpie AI 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 APIpie AI data, across all 13 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke APIpie AI 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 APIpie AI, when, and on whose behalf.
    • The agent pauses and asks when APIpie AI is unclear instead of plowing ahead.

  4. Enterprise grade security

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

Supported tools

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

List AI Models
Use this when you need to find available models filtered by provider, type, or subtype to decide which model fits your current task.
Get query history
Pull historic API usage logs including latency, token counts, and costs to analyze spend or performance.
Fetch model restrictions
Use this to verify which countries are allowed to access a specific model before deploying a workflow to a global user base.
Delete Vectors
Remove specific vectors or an entire collection from the memory store when data becomes obsolete.
Run model inference
Send a prompt to a specific model via the unified API and receive the generated text response.
Create vector collection
Set up a new vector store to hold embeddings for a specific project or customer knowledge base.
Upsert vectors
Add new embeddings to a collection or update existing ones to keep the AI context current.
Query vectors
Search a vector collection for the most relevant context to feed into a model prompt.
Get token count
Calculate the number of tokens in a string to estimate cost before sending a large request.
List providers
Pull a list of all AI model providers currently supported by the aggregator.
Set model parameters
Adjust temperature, top p, and max tokens for a specific model call to control creativity.
Get billing status
Check current credit balance and billing tier to avoid service interruptions during high volume periods.

12 actions · scroll to see them all

Frequently asked questions

Ceven treats APIpie AI as a routing layer. Instead of hardcoding a specific model ID from a single provider, you can instruct the agent to use the best available model for a specific task. If a provider goes down or a newer version is released, you simply update the model name in the workflow. The agent handles the request mapping and ensures that the prompt format remains compatible with the target model. This allows you to switch from a costly model to a cheaper one for simple tasks without changing any of your logic or API keys.
Yes. By using the Get query history action, Ceven can pull the exact token count and monetary cost associated with every single API call. You can build a workflow that sums these costs by user, by project, or by time period. This data is pulled directly from the APIpie AI logs and can be pushed into a spreadsheet or a finance tool for real time budget tracking, ensuring that an AI loop does not accidentally spend your entire monthly budget in an hour.
Ceven manages vector collections by treating them as external memory. When you upload a document, the agent sends it to APIpie AI to be embedded and stored in a specific collection. When a user asks a question, the agent first queries that collection to find the most relevant text chunks and then feeds those chunks into the model prompt. You can use the Delete Vectors action to prune old data, ensuring the model does not retrieve outdated information that could lead to incorrect answers.
The number of models you can access depends on your APIpie AI subscription tier. Some specialized or high performance models are gated behind higher tiers. If the agent attempts to call a model that is not available on your current plan, APIpie AI will return a 403 forbidden error. Ceven will catch this error and can be configured to automatically fall back to a lower tier model so that your workflow does not break, though the response quality may vary.
Some AI models have strict geographic restrictions based on the provider's terms. Ceven uses the Fetch model restrictions tool to check if a model is available in the target deployment region before the request is sent. If a restriction is found, the agent can automatically route the request to an alternative model that is available in that country. This prevents your application from throwing errors for users in restricted regions and ensures a seamless experience across different global markets.
APIpie AI is designed to minimize overhead by using optimized routing, but there is always a marginal increase in latency when using an aggregator versus a direct connection. Ceven helps you manage this by using the query history tool to monitor the actual response times for each model. You can set up a workflow that automatically switches to a different provider if the current one exceeds a specific latency threshold, ensuring that your end users always get the fastest possible response.
Once the Delete Vectors action is executed and the collection is removed from APIpie AI, the data is gone and cannot be recovered through the API. To prevent this, we recommend creating a backup workflow in Ceven that exports your raw text data to a cloud storage provider before performing bulk deletions. Always verify the collection ID using the list tools before running a delete command to ensure you are targeting the correct data set.
Ceven does not store your prompts or the responses from APIpie AI in a permanent database unless you explicitly tell the agent to save the output to a connected tool like Notion or Salesforce. The data flows through the workflow in real time. However, APIpie AI may log these requests in your query history for billing and auditing purposes. You can manage your data retention settings directly within your APIpie AI account dashboard to control how long those logs are kept.

Alternatives to APIpie AI

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

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