685933b5c8
This PR updates the Zed LLM provider to fetch the available models from the server instead of hard-coding them in the binary. Release Notes: - Updated the Zed provider to fetch the list of available language models from the server.
64 lines
1.9 KiB
TOML
64 lines
1.9 KiB
TOML
[package]
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name = "language_models"
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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/language_models.rs"
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[dependencies]
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anthropic = { workspace = true, features = ["schemars"] }
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anyhow.workspace = true
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aws-config = { workspace = true, features = ["behavior-version-latest"] }
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aws-credential-types = { workspace = true, features = [
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"hardcoded-credentials",
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] }
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aws_http_client.workspace = true
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bedrock.workspace = true
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client.workspace = true
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collections.workspace = true
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credentials_provider.workspace = true
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copilot.workspace = true
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deepseek = { workspace = true, features = ["schemars"] }
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editor.workspace = true
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fs.workspace = true
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futures.workspace = true
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google_ai = { workspace = true, features = ["schemars"] }
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gpui.workspace = true
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gpui_tokio.workspace = true
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http_client.workspace = true
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language_model.workspace = true
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lmstudio = { workspace = true, features = ["schemars"] }
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log.workspace = true
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menu.workspace = true
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mistral = { workspace = true, features = ["schemars"] }
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ollama = { workspace = true, features = ["schemars"] }
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open_ai = { workspace = true, features = ["schemars"] }
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partial-json-fixer.workspace = true
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project.workspace = true
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proto.workspace = true
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release_channel.workspace = true
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schemars.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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smol.workspace = true
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strum.workspace = true
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theme.workspace = true
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thiserror.workspace = true
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tiktoken-rs.workspace = true
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tokio = { workspace = true, features = ["rt", "rt-multi-thread"] }
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ui.workspace = true
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util.workspace = true
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workspace-hack.workspace = true
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zed_llm_client.workspace = true
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[dev-dependencies]
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editor = { workspace = true, features = ["test-support"] }
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language_model = { workspace = true, features = ["test-support"] }
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project = { workspace = true, features = ["test-support"] }
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