
APIpie AI
Your AI agent integrates with APIpie AI to access hundreds of AI models from leading providers through a single unified API. Route requests across OpenAI, Anthropic, Google, and dozens more providers with automatic cost optimization, latency routing, and built-in redundancy.




Access 200+ models from OpenAI, Anthropic, Google and more. Manage vectors, track costs, optimize latency, and monitor regional availability through one API.
APIpie AI
Real workflows where AI helps customers select models, analyze costs, and manage vector databases through natural conversation.
Customer asks which AI model to use for their task. Your AI Agent queries APIpie AI to list available models filtered by capability, compares pricing and latency across providers like OpenAI and Anthropic, and recommends the optimal choice based on their requirements.
Customer wants to understand their AI spending. Your AI Agent pulls query history from APIpie AI showing token usage, per-request costs, and provider breakdown. The agent identifies which models consume the most budget and suggests cost-effective alternatives.
Customer needs to clean up outdated embeddings. Your AI Agent connects to APIpie AI to delete specific vectors by ID or remove entire collections. The agent confirms deletions and helps maintain an organized vector store without manual API calls.

APIpie AI
FAQs
APIpie AI aggregates models from OpenAI (GPT-4, DALL-E), Anthropic (Claude), Google (Gemini, PaLM), Meta (Llama), Stability AI, Eleven Labs, and many more. You access all providers through one API key and unified endpoint.
The agent uses APIpie AI's List Models endpoint with filters for type (llm, vision, embedding, image, voice, moderation, coding), provider name, subtype (chat, TTS), and enabled status. This helps find the right model for specific tasks.
Yes. The agent can delete entire vector collections, remove specific vectors by their IDs, or filter deletions using metadata criteria. This helps manage embeddings stored through APIpie AI's vector services.
The agent pulls query history including latency measurements, input and output token counts, cost per request, timestamps, model used, and source IP addresses. This data supports cost analysis and performance monitoring.
Some AI models have geographic deployment restrictions. The agent can fetch the restrictions list to verify which models are available in specific countries before routing requests, ensuring compliance with provider terms.
APIpie AI uses pay-as-you-go pricing. You pay for actual usage across all providers without separate subscriptions to each one. The agent can retrieve your usage history to track spending across different models.
APIpie AI supports language models, vision models, text embeddings, image generation (DALL-E, Stable Diffusion), text-to-speech, speech-to-text (Whisper), code models, and content moderation. The agent can list models filtered by any type.
The agent retrieves query history with latency metrics per request and provider. By analyzing this data, it can identify which providers deliver faster responses for specific model types, helping optimize routing decisions.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.