All connectors
APIpie AI
13 tools · AI Models · Artificial Intelligence
APIpie.ai is an AI super aggregator providing a unified API to access a vast array of AI models from leading providers, enabling cost-effective and latency-optimized solutions.
Connect APIpie AI
- Open Slashspace and go to Settings, then Connectors.
- On Discover, search for APIpie AI and click Connect.
- Sign in to APIpie AI in your browser. Slashspace updates when the account is connected.
- Then ask for what you need in any Agent mode chat. APIpie AI is on in every chat unless you switch it off.
What your chats can do
13 tools from APIpie AI.
- Anonymize Sensitive TextAnonymize sensitive entities (PII) in text for data privacy and compliance. Use this tool to detect and replace personally identifiable information like names, phone numbers, locations, and other sensitive data with truncated SHA-256 hashes. Returns both the anonymized text and mappings showing what was replaced.
- Create Vector CollectionCreate a new vector collection (Pinecone-style index and namespace combined) in APIpie. Use this when you need to set up a new vector database for storing embeddings with a specific dimension. The dimension must match the embedding model you'll use (e.g., 1536 for OpenAI text-embedding-ada-002).
- Delete stateTool to delete state settings from APIpie. Without query parameter deletes app-level state; with query parameter deletes specific user state. Use after configuring state to remove unwanted state records or reset configuration.
- Delete VectorsDelete vectors from a vector collection in APIpie. Use this tool to: - Delete ALL vectors in a collection: set delete_all=True (requires credits) - Delete specific vectors: set delete_all=False and provide a list of vector IDs Note: Deleting by metadata filter is not currently supported - you must specify vector IDs.
- Get Detailed ModelsFetch detailed information about available AI models including pricing, capabilities, and specifications. Use when you need comprehensive model data with pricing rates, token limits, modality support, and benchmark scores.
