Now `always_allow_tool_actions` is only respected as the user's global
setting, not as an overridable project-local setting. This way, you
don't have to worry about switching into a project (or switching
branches within a project) and discovering that suddenly your tool calls
no longer require confirmation.
Release Notes:
- Removed always_allow_tool_actions from project-local settings (it is
now global-only)
Co-authored-by: David Kleingeld <git@davidsk.dev>
This was causing text thread summarization to be counted as a usage of 1
prompt
Release Notes:
- Fixed bug with agent text threads (not chat threads) counting
summarization as a usage of 1 prompt.
Co-authored-by: Oleksiy <oleksiy@zed.dev>
When `use_modifier_to_send` is turned on, holding `cmd`/`ctrl` is
necessary to send a message in the agent panel. Text threads already use
`cmd-enter` by default to submit a message, and it was done this way to
have the usual text editing bindings not taken over when writing a
prompt, sort of stimulating more thoughtful writing. While `enter` to
send is still somewhat a huge pattern in chat-like LLM UIs, it still
makes sense to allow this for the new agent panel... hence the existence
of this setting now!
Release Notes:
- agent: Added the `use_modifier_to_send` setting, which makes holding a
modifier (`cmd`/`ctrl`), together with `enter`, required to send a new
message.
Similar to https://github.com/zed-industries/zed/pull/34040, this PR
allows to control via settings whether the terminal card in the agent
panel should be expanded. It is set to true by default.
Release Notes:
- agent: Added a setting to control whether terminal cards are expanded
in the agent panel, thus showing or hiding the full command output.
This PR adds the `expand_edit_card` setting, which controls whether edit
cards in the agent panel are expanded, thus showing or not the full diff
of a given file's AI-driven change. I personally prefer to have these
cards collapsed by default as I am mostly reviewing diffs using either
the review multibuffer or the diffs within the file's buffer itself.
Didn't want to change the default behavior as that was intentionally
chosen, so here we are! :)
Open to feedback about the setting name; I've iterated between a few
options and don't necessarily feel like the current one is the best.
Release Notes:
- agent: Added a setting to control whether edit cards are expanded in
the agent panel, thus showing or hiding the full diff of a file's
changes.
Closes#30017
* While generating the settings JSON schema, defaults all schema
definitions to reject unknown fields via `additionalProperties: false`.
* Uses `unevaluatedProperties: false` at the top level to check fields
that remain after the settings field names + release stage override
field names.
* Changes json schema version from `draft07` to `draft_2019_09` to have
support for `unevaluatedProperties`.
Release Notes:
- Added warnings for unknown fields when editing `settings.json`.
The major change in schemars 1.0 is that now schemas are represented as
plain json values instead of specialized datatypes. This allows for more
concise construction and manipulation.
This change also improves how settings schemas are generated. Each top
level settings type was being generated as a full root schema including
the definitions it references, and then these were merged. This meant
generating all shared definitions multiple times, and might have bugs in
cases where there are two types with the same names.
Now instead the schemar generator's `definitions` are built up as they
normally are and the `Settings` trait no longer has a special
`json_schema` method. To handle types that have schema that vary at
runtime (`FontFamilyName`, `ThemeName`, etc), values of
`ParameterizedJsonSchema` are collected by `inventory`, and the schema
definitions for these types are replaced.
To help check that this doesn't break anything, I tried to minimize the
overall [schema
diff](https://gist.github.com/mgsloan/1de549def20399d6f37943a3c1583ee7)
with some patches to make the order more consistent + schemas also
sorted with `jq -S .`. A skim of the diff shows that the diffs come
from:
* `enum: ["value"]` turning into `const: "value"`
* Differences in handling of newlines for "description"
* Schemas for generic types no longer including the parameter name, now
all disambiguation is with numeric suffixes
* Enums now using `oneOf` instead of `anyOf`.
Release Notes:
- N/A
This cleans up our settings to not include any `version` fields, as we
have an actual settings migrator now.
This PR removes `language_models > anthropic > version`,
`language_models > openai > version` and `agent > version`.
We had migration paths in the code for a long time, so in practice
almost everyone should be using the latest version of these settings.
Release Notes:
- Remove `version` fields in settings for `agent`, `language_models >
anthropic`, `language_models > openai`. Your settings will automatically
be migrated. If you're running into issues with this open an issue
[here](https://github.com/zed-industries/zed/issues)
Follow up to previous PRs:
- Return `true` in `supports_images` - v0 supports images already
- Rename model id to match the exact version of the model `v0-1.5-md`
(For now we do not expose `sm`/`lg` variants since they seem not to be
available via the API)
- Provide autocompletion in settings for using `vercel` as a `provider`
Release Notes:
- N/A
This allows storing the profile per thread, as well as moving the logic
of which tools are enabled or not to the profile itself.
This makes it much easier to switch between profiles, means there is
less global state being changed on every profile change.
Release Notes:
- agent panel: allow saving the profile per thread
---------
Co-authored-by: Ben Kunkle <ben.kunkle@gmail.com>
This pull request adds full integration with OpenRouter, allowing users
to access a wide variety of language models through a single API key.
**Implementation Details:**
* **Provider Registration:** Registers OpenRouter as a new language
model provider within the application's model registry. This includes UI
for API key authentication, token counting, streaming completions, and
tool-call handling.
* **Dedicated Crate:** Adds a new `open_router` crate to manage
interactions with the OpenRouter HTTP API, including model discovery and
streaming helpers.
* **UI & Configuration:** Extends workspace manifests, the settings
schema, icons, and default configurations to surface the OpenRouter
provider and its settings within the UI.
* **Readability:** Reformats JSON arrays within the settings files for
improved readability.
**Design Decisions & Discussion Points:**
* **Code Reuse:** I leveraged much of the existing logic from the
`openai` provider integration due to the significant similarities
between the OpenAI and OpenRouter API specifications.
* **Default Model:** I set the default model to `openrouter/auto`. This
model automatically routes user prompts to the most suitable underlying
model on OpenRouter, providing a convenient starting point.
* **Model Population Strategy:**
* <strike>I've implemented dynamic population of available models by
querying the OpenRouter API upon initialization.
* Currently, this involves three separate API calls: one for all models,
one for tool-use models, and one for models good at programming.
* The data from the tool-use API call sets a `tool_use` flag for
relevant models.
* The data from the programming models API call is used to sort the
list, prioritizing coding-focused models in the dropdown.</strike>
* <strike>**Feedback Welcome:** I acknowledge this multi-call approach
is API-intensive. I am open to feedback and alternative implementation
suggestions if the team believes this can be optimized.</strike>
* **Update: Now this has been simplified to one api call.**
* **UI/UX Considerations:**
* <strike>Authentication Method: Currently, I've implemented the
standard API key input in settings, similar to other providers like
OpenAI/Anthropic. However, OpenRouter also supports OAuth 2.0 with PKCE.
This could offer a potentially smoother, more integrated setup
experience for users (e.g., clicking a button to authorize instead of
copy-pasting a key). Should we prioritize implementing OAuth PKCE now,
or perhaps add it as an alternative option later?</strike>(PKCE is not
straight forward and complicated so skipping this for now. So that we
can add the support and work on this later.)
* <strike>To visually distinguish models better suited for programming,
I've considered adding a marker (e.g., `</>` or `🧠`) next to their
names. Thoughts on this proposal?</strike>. (This will require a changes
and discussion across model provider. This doesn't fall under the scope
of current PR).
* OpenRouter offers 300+ models. The current implementation loads all of
them. **Feedback Needed:** Should we refine this list or implement more
sophisticated filtering/categorization for better usability?
**Motivation:**
This integration directly addresses one of the most highly upvoted
feature requests/discussions within the Zed community. Adding OpenRouter
support significantly expands the range of AI models accessible to
users.
I welcome feedback from the Zed team on this implementation and the
design choices made. I am eager to refine this feature and make it
available to users.
ISSUES: https://github.com/zed-industries/zed/discussions/16576
Release Notes:
- Added support for OpenRouter as a language model provider.
---------
Signed-off-by: Umesh Yadav <umesh4257@gmail.com>
Co-authored-by: Marshall Bowers <git@maxdeviant.com>
This PR updates how we handle Ollama responses, leveraging the new
[v0.9.0](https://github.com/ollama/ollama/releases/tag/v0.9.0) release.
Previously, thinking text was embedded within the model's main content,
leading to it appearing directly in the agent's response. Now, thinking
content is provided as a separate parameter, allowing us to display it
correctly within the agent panel, similar to other providers. I have
tested this with qwen3:8b and works nicely. ~~We can release this once
the ollama is release is stable.~~ It's released now as stable.
<img width="433" alt="image"
src="https://github.com/user-attachments/assets/2983ef06-6679-4033-82c2-231ea9cd6434"
/>
Release Notes:
- Add thinking support for ollama
---------
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
https://github.com/zed-industries/zed/pull/31668 renamed
`CompletionMode::Max` to `CompletionMode::Burn` which is a good change,
but this broke the deserialization for threads whose completion mode was
stored in LMDB. This adds a deserialization alias so that both values
work.
We could make a full new `SerializedThread` version which migrates this
value, but that seems overkill for this single change, we can batch that
with more changes later. Also, people in nightly already have some v1
threads with `burn` stored, so it wouldn't quite work for everybody.
Release Notes:
- N/A
Follow up to https://github.com/zed-industries/zed/pull/31470.
I started looking at config and changed preferred_completion_mode to
burn to only find its max so made changes to align it better with
rebrand. As this is in preview build now.
This doesn't touch zed_llm_client. Only the Zed changes the code and doc
to match the new UI of burn mode. There are still more things to be
renamed, though.
Release Notes:
- N/A
---------
Signed-off-by: Umesh Yadav <git@umesh.dev>
Co-authored-by: Danilo Leal <daniloleal09@gmail.com>
