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2 commits

Author SHA1 Message Date
Richard Feldman
87b47a4b08
Add Claude Opus 4.7 BYOK (#54077)
<img width="767" height="428" alt="Screenshot 2026-04-16 at 11 29 13 AM"
src="https://github.com/user-attachments/assets/e8b450fa-aefc-4dec-a286-b211bd492011"
/>

Add Claude Opus 4.7 (`claude-opus-4-7`) to the anthropic, bedrock, and
opencode provider crates.

Key specs:
- 1M token context window
- 128k max output tokens
- Adaptive thinking support
- AWS Bedrock cross-region inference (global, US, EU, AU)

Release Notes:

- Added Claude Opus 4.7 as an available language model
2026-04-17 10:51:32 -04:00
grim
adb3533890
agent: Add Opencode Zen provider (#49589)
Before you mark this PR as ready for review, make sure that you have:
- [x] Added a solid test coverage and/or screenshots from doing manual
testing
- [x] Done a self-review taking into account security and performance
aspects
- [x] Aligned any UI changes with the [UI
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)

Per Opencode's website:
> Zen gives you access to a curated set of AI models that OpenCode has
tested and benchmarked specifically for coding agents. No need to worry
about inconsistent performance and quality, use validated models that
work.
> - [x] Testing select models and consulting their teams
> - [x] Working with providers to ensure they're delivered properly
> - [x] Benchmarking all model-provider combinations we recommend

There are so many models available, but only a few work well with coding
agents. Most providers configure them differently with varying results.

The models under the Zen umbrella typically have a more reliable
token(s) per second speed with minimal outages. The opencode ecosystem
has improved my workflow if not many others' !

Release Notes:
- Added [Opencode Zen](https://opencode.ai/zen) to list of providers

---------

Co-authored-by: Ben Brandt <benjamin.j.brandt@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
2026-03-23 12:48:49 +00:00