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adb3533890
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>
27 lines
493 B
TOML
27 lines
493 B
TOML
[package]
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name = "opencode"
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version = "0.1.0"
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edition.workspace = true
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publish.workspace = true
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license = "GPL-3.0-or-later"
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[lints]
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workspace = true
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[lib]
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path = "src/opencode.rs"
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test = false
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[features]
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default = []
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schemars = ["dep:schemars"]
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[dependencies]
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anyhow.workspace = true
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futures.workspace = true
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google_ai.workspace = true
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http_client.workspace = true
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schemars = { workspace = true, optional = true }
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serde.workspace = true
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serde_json.workspace = true
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strum.workspace = true
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