tabby/clients/tabby-agent/openapi/tabby.json

231 lines
9.2 KiB
JSON
Raw Permalink Blame History

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

{
"openapi": "3.0.3",
"info": {
"title": "Tabby Server",
"description": "\n[![tabby stars](https://img.shields.io/github/stars/TabbyML/tabby)](https://github.com/TabbyML/tabby)\n[![Join Slack](https://shields.io/badge/Join-Tabby%20Slack-red?logo=slack)](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA)\n\nInstall following IDE / Editor extensions to get started with [Tabby](https://github.com/TabbyML/tabby).\n* [VSCode Extension](https://github.com/TabbyML/tabby/tree/main/clients/vscode) Install from the [marketplace](https://marketplace.visualstudio.com/items?itemName=TabbyML.vscode-tabby), or [open-vsx.org](https://open-vsx.org/extension/TabbyML/vscode-tabby)\n* [VIM Extension](https://github.com/TabbyML/tabby/tree/main/clients/vim)\n* [IntelliJ Platform Plugin](https://github.com/TabbyML/tabby/tree/main/clients/intellij) Install from the [marketplace](https://plugins.jetbrains.com/plugin/22379-tabby)\n",
"license": { "name": "Apache 2.0", "url": "https://github.com/TabbyML/tabby/blob/main/LICENSE" },
"version": "0.5.5"
},
"servers": [{ "url": "/", "description": "Server" }],
"paths": {
"/v1/completions": {
"post": {
"tags": ["v1"],
"operationId": "completion",
"requestBody": {
"content": { "application/json": { "schema": { "$ref": "#/components/schemas/CompletionRequest" } } },
"required": true
},
"responses": {
"200": {
"description": "Success",
"content": { "application/json": { "schema": { "$ref": "#/components/schemas/CompletionResponse" } } }
},
"400": { "description": "Bad Request" }
}
}
},
"/v1/events": {
"post": {
"tags": ["v1"],
"operationId": "event",
"requestBody": {
"content": { "application/json": { "schema": { "$ref": "#/components/schemas/LogEventRequest" } } },
"required": true
},
"responses": { "200": { "description": "Success" }, "400": { "description": "Bad Request" } }
}
},
"/v1/health": {
"get": {
"tags": ["v1"],
"operationId": "health",
"responses": {
"200": {
"description": "Success",
"content": { "application/json": { "schema": { "$ref": "#/components/schemas/HealthState" } } }
}
}
}
},
"/v1beta/search": {
"get": {
"tags": ["v1beta"],
"operationId": "search",
"parameters": [
{ "name": "q", "in": "query", "required": true, "schema": { "type": "string", "default": "get" } },
{
"name": "limit",
"in": "query",
"required": false,
"schema": { "type": "integer", "default": 20, "nullable": true, "minimum": 0.0 }
},
{
"name": "offset",
"in": "query",
"required": false,
"schema": { "type": "integer", "default": 0, "nullable": true, "minimum": 0.0 }
}
],
"responses": {
"200": {
"description": "Success",
"content": { "application/json": { "schema": { "$ref": "#/components/schemas/SearchResponse" } } }
},
"501": { "description": "When code search is not enabled, the endpoint will returns 501 Not Implemented" }
}
}
}
},
"components": {
"schemas": {
"Choice": {
"type": "object",
"required": ["index", "text"],
"properties": {
"index": { "type": "integer", "format": "int32", "minimum": 0.0 },
"text": { "type": "string" }
}
},
"CompletionRequest": {
"type": "object",
"properties": {
"language": {
"type": "string",
"description": "Language identifier, full list is maintained at\nhttps://code.visualstudio.com/docs/languages/identifiers",
"example": "python",
"nullable": true
},
"segments": { "allOf": [{ "$ref": "#/components/schemas/Segments" }], "nullable": true },
"user": {
"type": "string",
"description": "A unique identifier representing your end-user, which can help Tabby to monitor & generating\nreports.",
"nullable": true
},
"debug_options": { "allOf": [{ "$ref": "#/components/schemas/DebugOptions" }], "nullable": true }
},
"example": {
"language": "python",
"segments": { "prefix": "def fib(n):\n ", "suffix": "\n return fib(n - 1) + fib(n - 2)" }
}
},
"CompletionResponse": {
"type": "object",
"required": ["id", "choices"],
"properties": {
"id": { "type": "string" },
"choices": { "type": "array", "items": { "$ref": "#/components/schemas/Choice" } },
"debug_data": { "allOf": [{ "$ref": "#/components/schemas/DebugData" }], "nullable": true }
},
"example": { "choices": [{ "index": 0, "text": "string" }], "id": "string" }
},
"DebugData": {
"type": "object",
"properties": {
"snippets": { "type": "array", "items": { "$ref": "#/components/schemas/Snippet" }, "nullable": true },
"prompt": { "type": "string", "nullable": true }
}
},
"DebugOptions": {
"type": "object",
"properties": {
"raw_prompt": {
"type": "string",
"description": "When `raw_prompt` is specified, it will be passed directly to the inference engine for completion. `segments` field in `CompletionRequest` will be ignored.\n\nThis is useful for certain requests that aim to test the tabby's e2e quality.",
"nullable": true
},
"return_snippets": { "type": "boolean", "description": "When true, returns `snippets` in `debug_data`." },
"return_prompt": { "type": "boolean", "description": "When true, returns `prompt` in `debug_data`." },
"disable_retrieval_augmented_code_completion": {
"type": "boolean",
"description": "When true, disable retrieval augmented code completion."
}
}
},
"HealthState": {
"type": "object",
"required": ["model", "device", "arch", "cpu_info", "cpu_count", "cuda_devices", "version"],
"properties": {
"model": { "type": "string" },
"chat_model": { "type": "string", "nullable": true },
"device": { "type": "string" },
"arch": { "type": "string" },
"cpu_info": { "type": "string" },
"cpu_count": { "type": "integer", "minimum": 0.0 },
"cuda_devices": { "type": "array", "items": { "type": "string" } },
"version": { "$ref": "#/components/schemas/Version" }
}
},
"Hit": {
"type": "object",
"required": ["score", "doc", "id"],
"properties": {
"score": { "type": "number", "format": "float" },
"doc": { "$ref": "#/components/schemas/HitDocument" },
"id": { "type": "integer", "format": "int32", "minimum": 0.0 }
}
},
"HitDocument": {
"type": "object",
"required": ["body", "filepath", "git_url", "kind", "language", "name"],
"properties": {
"body": { "type": "string" },
"filepath": { "type": "string" },
"git_url": { "type": "string" },
"kind": { "type": "string" },
"language": { "type": "string" },
"name": { "type": "string" }
}
},
"LogEventRequest": {
"type": "object",
"required": ["type", "completion_id", "choice_index"],
"properties": {
"type": { "type": "string", "description": "Event type, should be `view` or `select`.", "example": "view" },
"completion_id": { "type": "string" },
"choice_index": { "type": "integer", "format": "int32", "minimum": 0.0 }
}
},
"SearchResponse": {
"type": "object",
"required": ["num_hits", "hits"],
"properties": {
"num_hits": { "type": "integer", "minimum": 0.0 },
"hits": { "type": "array", "items": { "$ref": "#/components/schemas/Hit" } }
}
},
"Segments": {
"type": "object",
"required": ["prefix"],
"properties": {
"prefix": { "type": "string", "description": "Content that appears before the cursor in the editor window." },
"suffix": {
"type": "string",
"description": "Content that appears after the cursor in the editor window.",
"nullable": true
}
}
},
"Snippet": {
"type": "object",
"required": ["filepath", "body", "score"],
"properties": {
"filepath": { "type": "string" },
"body": { "type": "string" },
"score": { "type": "number", "format": "float" }
}
},
"Version": {
"type": "object",
"required": ["build_date", "build_timestamp", "git_sha", "git_describe"],
"properties": {
"build_date": { "type": "string" },
"build_timestamp": { "type": "string" },
"git_sha": { "type": "string" },
"git_describe": { "type": "string" }
}
}
}
}
}