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Completion (aka next edit prediction, ai autocomplete, ai tab complete, etc) would benefit from LSP diagnostics.
Prior Art
Cursor
Info pulled from minified JS via an Agent. Take with a grain of salt.
Example JSON
The following JSON snippet is an example payload based on the keys in the bundle. This unfortunately was not logged or pulled from a running application.
{
"linterErrors": {
"relativeWorkspacePath": "src/parser.rs",
"errors": [
{
"message": "expected `;`, found `}`",
"source": "rustc",
"uri": "file:///project/src/parser.rs",
"severity": "ERROR",
"range": {
"startPosition": { "line": 42, "column": 5 },
"endPosition": { "line": 42, "column": 6 }
},
"relatedInformation": []
}
]
},
"lspSuggestedItems": { "suggestions": [{ "label": "parse_expr" }] },
"parameterHints": [
{
"label": "fn read(path: &Path) -> Result<String, Error>",
"documentation": "Reads the entire file into a string."
}
],
"lspContexts": []
}
(Real requests include many non-LSP fields: currentFile, diff histories, workspaceId, codeResults, timing, etc.)
Scope
linterErrors is for the current file only.
additionalFiles (visible-range snippets, paths, open files, recently viewed, etc.) can include other buffers when enableRvfTracking is enabled.
Zed
Zed is open source! Much easier to read. Zed sends LSP context in the user prompt. It looks like LSP diagnostics get serialized to a token friendly format and embedded into the prompt.
Link to Diagnostic type def
Link to collect_diagnostics
Link to user prompt type def
Zed also sends related_files from go to definition (from users cursor) and type defintions.
Outstanding Questions
- What LSP info should be included in the completion request
- Should the selected diagnostics be configurable in ECA config?
- Would any other request types benefit from LSP information?
- Should diagnostics be limited to the file being editted or should it include full workspace diagnostics?
- It looks like Cursor and zed both support this but have booleans to enable. There is probably a reason for the boolean. May be good to test.
To upvote this issue, give it a thumbs up. See this list for the most upvoted issues.
Completion (aka next edit prediction, ai autocomplete, ai tab complete, etc) would benefit from LSP diagnostics.
Prior Art
Cursor
Example JSON
The following JSON snippet is an example payload based on the keys in the bundle. This unfortunately was not logged or pulled from a running application.
{ "linterErrors": { "relativeWorkspacePath": "src/parser.rs", "errors": [ { "message": "expected `;`, found `}`", "source": "rustc", "uri": "file:///project/src/parser.rs", "severity": "ERROR", "range": { "startPosition": { "line": 42, "column": 5 }, "endPosition": { "line": 42, "column": 6 } }, "relatedInformation": [] } ] }, "lspSuggestedItems": { "suggestions": [{ "label": "parse_expr" }] }, "parameterHints": [ { "label": "fn read(path: &Path) -> Result<String, Error>", "documentation": "Reads the entire file into a string." } ], "lspContexts": [] }Scope
linterErrorsis for the current file only.additionalFiles(visible-range snippets, paths, open files, recently viewed, etc.) can include other buffers whenenableRvfTrackingis enabled.Zed
Zed is open source! Much easier to read. Zed sends LSP context in the user prompt. It looks like LSP diagnostics get serialized to a token friendly format and embedded into the prompt.
Link to Diagnostic type def
Link to collect_diagnostics
Link to user prompt type def
Zed also sends related_files from go to definition (from users cursor) and type defintions.
Outstanding Questions