Agus ZubiagaandOleksiy Syvokon
c748b177c4
We'll now cache LLM responses at the request level (by hash of URL+contents) for both context and prediction. This way we don't need to worry about mistakenly using the cache when we change the prompt or its components. Release Notes: - N/A --------- Co-authored-by: Oleksiy Syvokon <oleksiy.syvokon@gmail.com>
58 lines
1.5 KiB
TOML
58 lines
1.5 KiB
TOML
[package]
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name = "zeta2"
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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/zeta2.rs"
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[features]
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llm-response-cache = []
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[dependencies]
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anyhow.workspace = true
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arrayvec.workspace = true
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chrono.workspace = true
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client.workspace = true
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cloud_llm_client.workspace = true
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cloud_zeta2_prompt.workspace = true
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collections.workspace = true
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edit_prediction.workspace = true
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edit_prediction_context.workspace = true
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feature_flags.workspace = true
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futures.workspace = true
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gpui.workspace = true
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indoc.workspace = true
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language.workspace = true
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language_model.workspace = true
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log.workspace = true
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open_ai.workspace = true
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project.workspace = true
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release_channel.workspace = true
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serde.workspace = true
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serde_json.workspace = true
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smol.workspace = true
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thiserror.workspace = true
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util.workspace = true
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uuid.workspace = true
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workspace.workspace = true
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worktree.workspace = true
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[dev-dependencies]
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clock = { workspace = true, features = ["test-support"] }
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cloud_llm_client = { workspace = true, features = ["test-support"] }
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gpui = { workspace = true, features = ["test-support"] }
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lsp.workspace = true
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indoc.workspace = true
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language = { workspace = true, features = ["test-support"] }
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language_model = { workspace = true, features = ["test-support"] }
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pretty_assertions.workspace = true
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project = { workspace = true, features = ["test-support"] }
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settings = { workspace = true, features = ["test-support"] }
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zlog.workspace = true
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