mirror of
https://github.com/BerriAI/litellm.git
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198906495f
* refactor(python-bridge): split non-streaming bridge modules * refactor(python-bridge): bring shared function tracing into route layer * feat(dev): list Python route functions and call sites * feat(dev): list Rust route functions and call sites * docs(dev): record OCR parity gaps across Python and Rust * feat(dev): list executed SDK calls with runtime tracing * feat(dev): report Python vs Rust SDK pipeline steps in one CLI * feat(dev): side-by-side pipeline step report in compare CLI * fix(dev): drop invalid Final annotations in compare cell loop * feat(dev): blue python-only and yellow rust-only steps in compare CLI * feat(dev): vertical layout with section spacing in compare CLI * fix(dev): validate SDK trace stages across sync and async routes * refactor(rust): align SDK route call structure with Python * refactor(python-bridge): share sync and async route call wrappers * refactor(dev): split compare CLI into fixtures, runtime, and report modules * fix(ci): run SDK trace tests and satisfy test lint
45 lines
1.5 KiB
TOML
45 lines
1.5 KiB
TOML
[package]
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name = "litellm-ai-gateway"
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version = "0.1.0"
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edition.workspace = true
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license.workspace = true
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repository.workspace = true
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[lib]
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name = "litellm_ai_gateway"
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[[bin]]
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name = "litellm-ai-gateway"
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path = "src/main.rs"
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required-features = ["server"]
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[dependencies]
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tracing.workspace = true
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litellm-core = { workspace = true, features = ["bedrock-auth"] }
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# reqwest (rustls + json) is used by io/ocr and ships realtime logs to the
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# Python proxy callbacks API.
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reqwest.workspace = true
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# `sync` powers the bounded mpsc channel the realtime logger drains.
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tokio = { workspace = true, features = ["rt-multi-thread", "macros", "net", "time", "sync"] }
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tokio-tungstenite.workspace = true
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futures-util.workspace = true
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serde_json.workspace = true
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base64.workspace = true
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axum = { workspace = true, features = ["ws"], optional = true }
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serde.workspace = true
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subtle = { workspace = true, optional = true }
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# sha2 hashes the master key into user_api_key_hash (matches the proxy's
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# SHA-256 hash_token) so the plaintext credential never enters a log payload.
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sha2 = { workspace = true, optional = true }
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pyo3 = { workspace = true, features = ["auto-initialize"], optional = true }
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[features]
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default = []
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server = ["dep:axum", "dep:subtle", "dep:sha2"]
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# Build the gateway's config from the proxy YAML via an embedded Python
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# interpreter (links libpython; requires `litellm` importable at runtime).
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python-config = ["dep:pyo3"]
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[dev-dependencies]
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futures-channel = "0.3"
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tower = { version = "0.5.3", features = ["util"] }
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