Files
zed/crates/language_models/Cargo.toml
T
Ben Brandt 2eafa6e6aa language_models: Remove unused language model token counting (#54177)
Drop the `count_tokens` API and related implementations across
providers, and remove the unused `tiktoken-rs` dependency.

I was going to update the dependency becuase they finally released a fix
we needed. But then I realized we only used this api in one place, the
Rules library. And for most models it would have been wildly incorrect
becuase we use tiktoken, i.e. OpenAI tokenizers, for almost every model,
which is going to give incorrect results.

Given that, I just removed these because the difference in how we get
these has caused plenty of confusion in the past.

Self-Review Checklist:

- [x] I've reviewed my own diff for quality, security, and reliability
- [x] Unsafe blocks (if any) have justifying comments
- [x] The content is consistent with the [UI/UX
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)
- [x] Tests cover the new/changed behavior
- [x] Performance impact has been considered and is acceptable

Release Notes:

- N/A
2026-04-22 13:39:48 +00:00

70 lines
2.2 KiB
TOML

[package]
name = "language_models"
version = "0.1.0"
edition.workspace = true
publish.workspace = true
license = "GPL-3.0-or-later"
[lints]
workspace = true
[lib]
path = "src/language_models.rs"
[dependencies]
ai_onboarding.workspace = true
anthropic = { workspace = true, features = ["schemars"] }
anyhow.workspace = true
aws-config = { workspace = true, features = ["behavior-version-latest"] }
aws-credential-types = { workspace = true, features = ["hardcoded-credentials"] }
aws_http_client.workspace = true
base64.workspace = true
bedrock = { workspace = true, features = ["schemars"] }
client.workspace = true
cloud_api_client.workspace = true
cloud_api_types.workspace = true
collections.workspace = true
component.workspace = true
convert_case.workspace = true
copilot.workspace = true
copilot_chat.workspace = true
copilot_ui.workspace = true
credentials_provider.workspace = true
deepseek = { workspace = true, features = ["schemars"] }
extension.workspace = true
extension_host.workspace = true
fs.workspace = true
futures.workspace = true
google_ai = { workspace = true, features = ["schemars"] }
gpui.workspace = true
gpui_tokio.workspace = true
http_client.workspace = true
language.workspace = true
language_model.workspace = true
language_models_cloud.workspace = true
lmstudio = { workspace = true, features = ["schemars"] }
log.workspace = true
menu.workspace = true
mistral = { workspace = true, features = ["schemars"] }
ollama = { workspace = true, features = ["schemars"] }
open_ai = { workspace = true, features = ["schemars"] }
opencode = { workspace = true, features = ["schemars"] }
open_router = { workspace = true, features = ["schemars"] }
release_channel.workspace = true
schemars.workspace = true
serde.workspace = true
serde_json.workspace = true
settings.workspace = true
smol.workspace = true
strum.workspace = true
tokio = { workspace = true, features = ["rt", "rt-multi-thread"] }
ui.workspace = true
ui_input.workspace = true
util.workspace = true
vercel = { workspace = true, features = ["schemars"] }
x_ai = { workspace = true, features = ["schemars"] }
[dev-dependencies]
language_model = { workspace = true, features = ["test-support"] }
pretty_assertions.workspace = true