Model implementation guide
Call Kimi K3 through one OpenAI-compatible endpoint
Move from model evaluation to a verified Kimi K3 response, then confirm the matching request record before integrating a larger workload.
- Operator job
- You want to test Kimi K3 without building a provider-specific client path first.
- Intended audience
- Application developers evaluating a single model path before integration.
Open guide →Coding-agent gateway guide
Put Claude Code behind a governed Anthropic-compatible path
Validate a coding-agent request path, keep credentials out of project files, and inspect the resulting usage before rolling the configuration across a team.
- Operator job
- You want a compatible Claude Code path with centralized key, policy, and usage controls.
- Intended audience
- Platform engineers setting up a governed coding-agent workflow.
Open guide →Reliability workflow
Design multi-provider fallback without hiding the decision path
Separate model choice, provider routing, and failure policy so fallback behavior can be tested, observed, and changed without rewriting the client.
- Operator job
- You need a fallback path but still want to know which model and route served each request.
- Intended audience
- Reliability owners designing explicit multi-provider failure handling.
Open guide →Spend-control workflow
Attribute LLM spend by workspace before budgets blur
Create an ownership boundary that connects keys, model requests, usage records, and quota decisions to the workload that caused them.
- Operator job
- Multiple teams or applications share model access and the monthly total no longer explains who consumed it.
- Intended audience
- Engineering and finance owners who need a reviewable workspace boundary.
Open guide →