This is a bit of a readability improvement IMHO; I often find myself
confused when dealing when dimension pairs, as there's no easy way to
jump to the implementation of a dimension for tuples to remind myself
for the n-th time how exactly that impl works. Now it should be possible
to jump directly to that impl.
Another bonus is that Dimension supports 3-ary tuples as well - by using
a () as a default value of a 3rd dimension.
Release Notes:
- N/A
Even after #35327 edit predictions were still being queried and shown
after setting `"disable_ai": true`
Also moves `DisableAiSettings` to the `project` crate so that it gets
included in tests via existing use of `Project::init_settings(cx)`.
Release Notes:
- Fixed `"disable_ai": true` setting disabling edit predictions.
This includes making sure that both the agent panel and Zed's edit
prediction have a consistent narrative when it comes to onboarding users
into the AI features, considering the possible different plans and
conditions (such as being signed in/out, account age, etc.)
Release Notes:
- N/A
---------
Co-authored-by: Bennet Bo Fenner <53836821+bennetbo@users.noreply.github.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
Per [GitHub's documentation for VSCode's agent
mode](https://docs.github.com/en/copilot/how-tos/chat/asking-github-copilot-questions-in-your-ide#agent-mode),
a premium request is charged per user-submitted prompt. rather than per
individual request the agent makes to an LLM. This PR matches Zed's
functionality to VSCode's, accurately indicating to GitHub's API whether
a given request is initiated by the user or by an agent, allowing a user
to be metered only for prompts they send.
See also: #31068
Release Notes:
- Improve Copilot premium request tracking
Closes #ISSUE
Adds a new `documentation` method to actions, that is extracted from doc
comments when using the `actions!` or derive macros.
Additionally, this PR adds doc comments to as many action definitions in
Zed as possible.
Release Notes:
- N/A *or* Added/Fixed/Improved ...
In #32656 I generalized the argument to change selections to allow
controling both the scroll and the nav history (and the completion
trigger).
To avoid conflicting with ongoing debugger cherry-picks I left the
argument as an `impl Into<>`, but I think it's clearer to make callers
specify what they want here.
I converted a lot of `None` arguments to `SelectionEffects::no_scroll()`
to be exactly compatible; but I think many people used none as an "i
don't care" value in which case Default::default() might be more
appropraite
Closes #ISSUE
Release Notes:
- N/A
In #32656 I generalized the argument to change selections to allow
controling both the scroll and the nav history (and the completion
trigger).
To avoid conflicting with ongoing debugger cherry-picks I left the
argument as an `impl Into<>`, but I think it's clearer to make callers
specify what they want here.
I converted a lot of `None` arguments to `SelectionEffects::no_scroll()`
to be exactly compatible; but I think many people used none as an "i
don't care" value in which case Default::default() might be more
appropraite
Closes#30784
In github copilot we were not handling the config path correctly for
FLATPAK.
* Only tested on mac don't have access to other platform. But this
should work on other platform as well. It follows the similar pattern
seen in zed config path resolution.
- [x] Macos
- [ ] Linux
- [ ] Linux with Flatpak
- [ ] Windows
Release Notes:
- Fix copilot config detection for flatpack
Previously we were using a mix of `u32` and `usize`, e.g. `max_tokens:
usize, max_output_tokens: Option<u32>` in the same `struct`.
Although [tiktoken](https://github.com/openai/tiktoken) uses `usize`,
token counts should be consistent across targets (e.g. the same model
doesn't suddenly get a smaller context window if you're compiling for
wasm32), and these token counts could end up getting serialized using a
binary protocol, so `usize` is not the right choice for token counts.
I chose to standardize on `u64` over `u32` because we don't store many
of them (so the extra size should be insignificant) and future models
may exceed `u32::MAX` tokens.
Release Notes:
- N/A
We push the usage data whenever we receive it from the provider to make
sure the counting is correct after the turn has ended.
- [x] Ollama
- [x] Copilot
- [x] Mistral
- [x] OpenRouter
- [x] LMStudio
Put all the changes into a single PR open to move these to separate PR
if that makes the review and testing easier.
Release Notes:
- N/A
This addresses:
https://github.com/zed-industries/zed/pull/32248#issuecomment-2952060834.
This PR address two main things one allowing enterprise users to use
copilot chat and completion while also introducing the new way to handle
copilot url specific their subscription. Simplifying the UX around the
github copilot and removes the burden of users figuring out what url to
use for their subscription.
- [x] Pass enterprise_uri to copilot lsp so that it can redirect users
to their enterprise server. Ref:
https://github.com/github/copilot-language-server-release#configuration-management
- [x] Remove the old ui and config language_models.copilot which allowed
users to specify their copilot_chat specific endpoint. We now derive
that automatically using token endpoint for copilot so that we can send
the requests to specific copilot endpoint for depending upon the url
returned by copilot server.
- [x] Tested this for checking the both enterprise and non-enterprise
flow work. Thanks to @theherk for the help to debug and test it.
- [ ] Udpdate the zed.dev/docs to refelect how to setup enterprise
copilot.
What this doesn't do at the moment:
* Currently zed doesn't allow to have two seperate accounts as the token
used in chat is same as the one generated by lsp. After this changes
also this behaviour remains same and users can't have both enterprise
and personal copilot installed.
P.S: Might need to do some bit of code cleanup and other things but
overall I felt this PR was ready for atleast first pass of review to
gather feedback around the implementation and code itself.
Release Notes:
- Add enterprise support for GitHub copilot
---------
Signed-off-by: Umesh Yadav <git@umesh.dev>
Add support for environment variables as authentication alternatives to
OAuth flow for Copilot. Closes#31172
We can include the token in HTTPS request headers to hopefully resolve
the rate limiting issue in #9483. This change will be part of a separate
PR.
Release Notes:
- Added support for manually providing an OAuth token for GitHub Copilot
Chat by assigning the GH_COPILOT_TOKEN environment variable
---------
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
Closes [#13107](https://github.com/zed-industries/zed/issues/13107)
Enabled pull diagnostics by default, for the language servers that
declare support in the corresponding capabilities.
```
"diagnostics": {
"lsp_pull_diagnostics_debounce_ms": null
}
```
settings can be used to disable the pulling.
Release Notes:
- Added support for the LSP `textDocument/diagnostic` command.
# Brief
This is draft PR that implements the LSP `textDocument/diagnostic`
command. The goal is to receive your feedback and establish further
steps towards fully implementing this command. I tried to re-use
existing method and structures to ensure:
1. The existing functionality works as before
2. There is no interference between the diagnostics sent by a server and
the diagnostics requested by a client.
The current implementation is done via a new LSP command
`GetDocumentDiagnostics` that is sent when a buffer is saved and when a
buffer is edited. There is a new method called `pull_diagnostic` that is
called for such events. It has debounce to ensure we don't spam a server
with commands every time the buffer is edited. Probably, we don't need
the debounce when the buffer is saved.
All in all, the goal is basically to get your feedback and ensure I am
on the right track. Thanks!
## References
1.
https://microsoft.github.io/language-server-protocol/specifications/lsp/3.17/specification/#textDocument_pullDiagnostics
## In action
You can clone any Ruby repo since the `ruby-lsp` supports the pull
diagnostics only.
Steps to reproduce:
1. Clone this repo https://github.com/vitallium/stimulus-lsp-error-zed
2. Install Ruby (via `asdf` or `mise).
4. Install Ruby gems via `bundle install`
5. Install Ruby LSP with `gem install ruby-lsp`
6. Check out this PR and build Zed
7. Open any file and start editing to see diagnostics in realtime.
https://github.com/user-attachments/assets/0ef6ec41-e4fa-4539-8f2c-6be0d8be4129
---------
Co-authored-by: Kirill Bulatov <mail4score@gmail.com>
Co-authored-by: Kirill Bulatov <kirill@zed.dev>
Previously, the vision request header was only set if the last message
in a thread contained an image. This caused 400 errors from the Copilot
API when sending follow-up messages in a thread that contained images in
earlier messages.
Modified the `is_vision_request` check to scan all messages in a thread
for image content instead of just the last one, ensuring the proper
header is set for the entire conversation.
Added a unit test to verify all cases function correctly.
Release Notes:
- Fix GitHub Copilot chat provider error when sending follow-up messages
in threads containing images
Issues: #30994
I've implemented an important optimisation in response to GitHub
Copilot's recent rate limit on concurrent Vision API calls. Previously,
our system was defaulting to vision header: true for all API calls. To
prevent unnecessary calls and adhere to the new limits, I've updated our
logic: the vision header is now only sent if the current message is a
vision message, specifically when the preceding message includes an
image.
Prompt used to reproduce and verify the fix: `Give me a context for my
agent crate about. Browse my repo.`
Release Notes:
- copilot: Set Copilot-Vision-Request header based on message content
https://github.com/zed-industries/zed/issues/30972 brought up another
case where our context is not enough to track the actual source of the
issue: we get a general top-level error without inner error.
The reason for this was `.ok_or_else(|| anyhow!("failed to read HEAD
SHA"))?; ` on the top level.
The PR finally reworks the way we use anyhow to reduce such issues (or
at least make it simpler to bubble them up later in a fix).
On top of that, uses a few more anyhow methods for better readability.
* `.ok_or_else(|| anyhow!("..."))`, `map_err` and other similar error
conversion/option reporting cases are replaced with `context` and
`with_context` calls
* in addition to that, various `anyhow!("failed to do ...")` are
stripped with `.context("Doing ...")` messages instead to remove the
parasitic `failed to` text
* `anyhow::ensure!` is used instead of `if ... { return Err(...); }`
calls
* `anyhow::bail!` is used instead of `return Err(anyhow!(...));`
Release Notes:
- N/A
This is very basic support for them. There are a number of other TODOs
before this is really a first-class supported feature, so not adding any
release notes for it; for now, this PR just makes it so that if
read_file tries to read a PNG (which has come up in practice), it at
least correctly sends it to Anthropic instead of messing up.
This also lays the groundwork for future PRs for more first-class
support for images in tool calls across more image file formats and LLM
providers.
Release Notes:
- N/A
---------
Co-authored-by: Agus Zubiaga <hi@aguz.me>
Co-authored-by: Agus Zubiaga <agus@zed.dev>
Problem Statement:
Support for image analysis (vision) is currently restricted to Anthropic
and Gemini models. This limits users who wish to leverage vision
capabilities available in other models, such as Copilot, for tasks like
attaching image context within the agent message editor.
Proposed Change:
This PR extends vision support to include Copilot models that are
already equipped with vision capabilities. This integration will allow
users within VS Code to attach and analyze images using supported
Copilot models via the agent message editor.
Scope Limitation:
This PR does not implement controls within the message editor to ensure
that image context (e.g., through copy-paste or attachment) is
exclusively enabled or prompted only when a vision-supported model is
active. Long term the message editor should have access to each models
vision capability and stop the users from attaching images by either
greying out the context saying it's not support or not work through both
copy paste and file/directory search.
Closes#30076
Release Notes:
- Add vision support for Copilot Chat models
---------
Co-authored-by: Bennet Bo Fenner <bennet@zed.dev>
I noticed the discussion in #28881, and had thought of exactly the same
a few days prior.
This implementation should preserve existing functionality fairly well.
I've added a dependency (serde_with) to allow the deserializer to skip
models which cannot be deserialized, which could occur if a future
provider, for instance, is added. Without this modification, such a
change could break all models. If extra dependencies aren't desired, a
manual implementation could be used instead.
- Closes#29369
Release Notes:
- Dynamically detect available Copilot Chat models, including all models
with tool support
---------
Co-authored-by: AidanV <aidanvanduyne@gmail.com>
Co-authored-by: imumesh18 <umesh4257@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennet@zed.dev>
Co-authored-by: Agus Zubiaga <hi@aguz.me>
Also:
* Makes sign out show status notifications and errors.
* Reinstall now prompts for sign-in after start.
Addresses some of #29250, but not all of it.
Release Notes:
- N/A
* Adds a fast / cheaper model to providers and defaults thread
summarization to this model. Initial motivation for this was that
https://github.com/zed-industries/zed/pull/29099 would cause these
requests to fail when used with a thinking model. It doesn't seem
correct to use a thinking model for summarization.
* Skips system prompt, context, and thinking segments.
* If tool use is happening, allows 2 tool uses + one more agent response
before summarizing.
Downside of this is that there was potential for some prefix cache reuse
before, especially for title summarization (thread summarization omitted
tool results and so would not share a prefix for those). This seems fine
as these requests should typically be fairly small. Even for full thread
summarization, skipping all tool use / context should greatly reduce the
token use.
Release Notes:
- N/A
Release Notes:
- Add support for OpenAI o3 and o4-mini models via OpenAI API and
Copilot Chat providers.
---------
Co-authored-by: Peter Tripp <peter@zed.dev>
Release Notes:
- Add support for OpenAI GPT-4.1 via Copilot Chat and OpenAI API
---------
Co-authored-by: Danilo Leal <daniloleal09@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
This PR adds tool calling support for GitHub Copilot Chat models.
Currently only supports the Claude family of models.
Release Notes:
- agent: Added tool calling support for Claude models in GitHub Copilot
Chat.
---------
Co-authored-by: Marshall Bowers <git@maxdeviant.com>
This PR adds `completions.lsp_insert_mode` and effectively changes the
default from `"replace"` to `"replace_suffix"`, which automatically
detects whether to use the LSP `replace` range instead of `insert`
range.
`"replace_suffix"` was chosen as a default because it's more
conservative than `"replace_subsequence"`, considering that deleting
text is usually faster and less disruptive than having to rewrite a long
replaced word.
Fixes#27197Fixes#23395 (again)
Fixes#4816 (again)
Release Notes:
- Added new setting `completions.lsp_insert_mode` that changes what will
be replaced when an LSP completion is accepted. The default is
`"replace_suffix"`, but it accepts 4 values: `"insert"` for replacing
only the text before the cursor, `"replace"` for replacing the whole
text, `"replace_suffix"` that acts like `"replace"` when the text after
the cursor is a suffix of the completion, and `"replace_subsequence"`
that acts like `"replace"` when the text around your cursor is a
subsequence of the completion (similiar to a fuzzy match). Check [the
documentation](https://zed.dev/docs/configuring-zed#LSP-Insert-Mode) for
more information.
---------
Co-authored-by: João Marcos <marcospb19@hotmail.com>
Co-authored-by: Max Brunsfeld <maxbrunsfeld@gmail.com>
Piotr Osiewicz