Reuse context, not old answers.
For supported models and providers, stable prompt prefixes may be reused across requests. Cache eligibility and savings depend on the actual model, provider and request shape.
AI API · FOR DEVELOPERS & TEAMSConnect AI.
Connect AI.
Focus on your business.
Explore an AI API integration approach for developer tools, applications and enterprise teams. Start with the requirements that matter to your project.
01 / PERFORMANCE ENGINEERING
Design for the whole request.
From reusable context to peak demand, compare options using real application workloads.
These are evaluation topics, not active-feature claims or performance guarantees. Confirm support and measured results for your specific integration.
Measure the first token and the full response.
Evaluate time to first token (TTFT), streaming via SSE, generation rate and end-to-end latency with representative workloads.
Plan for peaks, not just averages.
Concurrent requests, requests per minute (RPM) and tokens per minute (TPM) are different constraints. Define queues, rate limits and fallback conditions for your use case.
02 / INTEGRATION DESIGN
From the first request to steady operations.
Evaluate protocols, providers and operational safeguards together.
Protocol fit
Confirm the SDK, API format, authentication and streaming events your application actually needs.
Routing and load balancing
Assess provider capacity, latency, model fit and session affinity before selecting a routing policy.
Failover boundaries
Agree on timeouts, retries and fallback. A streaming response that has started cannot be assumed to switch providers without interruption.
Usage and access
Specify how to observe request status, token usage and errors, and how project access should be governed.
Architecture examples describe discussion points, not the real-time status of a deployed API service.
03 / MODEL ECOSYSTEM
Compare evaluation paths Choose models around the task.
GPT & Claude
Check protocol differences, coding workflows, tool calls and your existing application requirements.
Gemini & DeepSeek
Assess input formats, Chinese-language workloads, version constraints and data requirements.
Examples for model selection only. They do not imply current availability or partnerships with model providers.
04 / APPLICATIONS
Explore use cases Build around your working context.
Coding and agents
Consider long-running tasks, repository context, protocol support and tool calling.
Products and knowledge bases
Define response quality, streaming behavior and traffic peaks for RAG and content workflows.
Enterprise teams
Align project access, expected volume, data boundaries and commercial requirements before integration.
Start with a clear brief.
Bring your target tools, sample tasks, expected usage and operating constraints. We can use those details to discuss an integration approach.
Existing technical tutorials are currently available in Chinese and are under review; check live tool documentation before applying any example configuration.
BEFORE YOU BUILD
Common questions.
Can I call an API or create a key on this website?
No. This site presents service information and technical resources; it does not offer online API calls, account top-ups or key management.
Are all listed models available now?
No. Model names are starting points for evaluation, not a live availability list or a statement of official partnership. Confirm versions, protocols and channels separately.
How should we assess performance?
Test real business samples and inspect TTFT, end-to-end latency, error rates, queueing and capacity at expected peak load. This site does not publish unverified performance figures.
LET’S BUILD WITH AI
Prepare a brief Make the next step concrete.
Outline the tools, models and workload you want to assess.