# Models

Inference choices, local serving, compatibility, and operational tradeoffs.

Canonical: https://rangoon.ai/insights/topics/models/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [Claude Sonnet 5.5 makes model selection a release-engineering task](https://rangoon.ai/insights/anthropic-claude-sonnet-5-5-release-engineering/)
  Anthropic released Claude Sonnet 5.5 on September 28. Its arrival is a reminder to treat model upgrades as measurable, reversible application changes.
- [Gemini 3.8 Flash turns model migration into an API operations exercise](https://rangoon.ai/insights/google-gemini-3-8-flash-ga-migration/)
  Google released Gemini 3.8 Flash on September 2. The GA milestone puts version choice, lifecycle tracking, and workload testing back in focus.
- [Ollama and vLLM: choosing an inference home](https://rangoon.ai/insights/ollama-vllm-inference-tradeoffs/)
  Evaluate Ollama and vLLM by workload, hardware, API behavior, observability, and governance instead of treating local inference as one mode.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)