APIpie AI

200 AI models through one conversation

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.

Chosen by 800+ global brands across industries

Multi-model AI through unified access

Access 200+ models from OpenAI, Anthropic, Google and more. Manage vectors, track costs, optimize latency, and monitor regional availability through one API.

APIpie AI

Use Cases

AI model orchestration scenarios

Real workflows where AI helps customers select models, analyze costs, and manage vector databases through natural conversation.

Multi-Provider Model Selection

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.

AI Usage Cost Analysis

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.

Vector Database Maintenance

Customer needs to clean up outdated embeddings.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.

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APIpie AI

APIpie AI

FAQs

Frequently Asked Questions

What AI providers can I access through APIpie AI?

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.

How does the agent filter AI models by type?

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.

Can the agent delete vectors from my collections?

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.

What usage data can the agent retrieve from APIpie AI?

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.

How do country restrictions work for AI models?

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.

Does APIpie AI charge per model or use pay-as-you-go pricing?

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.

What model types does APIpie AI support beyond chat LLMs?

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.

How does the agent help with latency optimization?

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.

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Privacy & Security

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

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