This PR partially implements a knowledge distillation data pipeline. `zeta distill` gets a dataset of chronologically ordered commits and generates synthetic predictions with a teacher model (one-shot Claude Sonnet). `zeta distill --batches cache.db` will enable Message Batches API. Under the first run, this command will collect all LLM requests and upload a batch of them to Anthropic. On subsequent runs, it will check the batch status. If ready, it will download the result and put them into the local cache. Release Notes: - N/A --------- Co-authored-by: Piotr Osiewicz <24362066+osiewicz@users.noreply.github.com> Co-authored-by: Ben Kunkle <ben@zed.dev>
65 lines
1.6 KiB
TOML
65 lines
1.6 KiB
TOML
[package]
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name = "edit_prediction_cli"
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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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[[bin]]
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name = "ep_cli"
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path = "src/main.rs"
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[dependencies]
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anyhow.workspace = true
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anthropic.workspace = true
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http_client.workspace = true
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chrono.workspace = true
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clap.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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debug_adapter_extension.workspace = true
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edit_prediction_context.workspace = true
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extension.workspace = true
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fs.workspace = true
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futures.workspace = true
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gpui.workspace = true
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gpui_tokio.workspace = true
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indoc.workspace = true
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language.workspace = true
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language_extension.workspace = true
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language_model.workspace = true
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language_models.workspace = true
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languages = { workspace = true, features = ["load-grammars"] }
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log.workspace = true
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node_runtime.workspace = true
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paths.workspace = true
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project.workspace = true
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prompt_store.workspace = true
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pulldown-cmark.workspace = true
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release_channel.workspace = true
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reqwest_client.workspace = true
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serde.workspace = true
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serde_json.workspace = true
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settings.workspace = true
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shellexpand.workspace = true
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smol.workspace = true
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sqlez.workspace = true
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sqlez_macros.workspace = true
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terminal_view.workspace = true
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toml.workspace = true
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util.workspace = true
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watch.workspace = true
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edit_prediction = { workspace = true, features = ["eval-support"] }
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zlog.workspace = true
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[dev-dependencies]
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indoc.workspace = true
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gpui = { workspace = true, features = ["test-support"] }
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project = { workspace = true, features = ["test-support"] }
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pretty_assertions.workspace = true
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