mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-10 04:08:31 +00:00
feat: add /jobs API
This API will be later tied to jobs as defined for specific flows (post-training, eval, etc.) through the common scheduler mechanism. Note: At the moment, API does nothing useful. (Except returning Not Implemented errors when called.) This is an alternative to developing per-flow jobs APIs. Eventually, once /jobs API is implemented, we should be able to deprecate existing APIs under /v1/post-training/, /v1/eval/ etc. See #1587 (tracker) See #1238 (design details) Note: This is an alternative path to #1582 and #1583. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
This commit is contained in:
parent
0fdb15bcc7
commit
90799cdcee
12 changed files with 557 additions and 11 deletions
242
docs/_static/llama-stack-spec.html
vendored
242
docs/_static/llama-stack-spec.html
vendored
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@ -230,6 +230,41 @@
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}
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}
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},
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"/v1/jobs/{job_id}/cancel": {
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"post": {
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"responses": {
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"200": {
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"description": "OK"
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"Jobs"
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],
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"description": "",
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"parameters": [
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{
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"name": "job_id",
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"in": "path",
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"required": true,
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"schema": {
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"type": "string"
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}
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}
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]
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}
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},
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"/v1/post-training/job/cancel": {
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"post": {
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"responses": {
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@ -925,6 +960,81 @@
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]
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}
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},
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"/v1/jobs/{job_id}": {
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"get": {
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"responses": {
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"200": {
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"description": "OK",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/JobInfo"
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}
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}
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}
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"Jobs"
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],
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"description": "",
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"parameters": [
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{
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"name": "job_id",
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"in": "path",
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"required": true,
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"schema": {
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"type": "string"
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}
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}
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]
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},
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"delete": {
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"responses": {
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"200": {
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"description": "OK"
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"Jobs"
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],
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"description": "",
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"parameters": [
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{
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"name": "job_id",
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"in": "path",
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"required": true,
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"schema": {
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"type": "string"
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}
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}
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]
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}
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},
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"/v1/inference/embeddings": {
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"post": {
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"responses": {
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@ -2568,6 +2678,39 @@
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]
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}
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},
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"/v1/jobs": {
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"get": {
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"responses": {
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"200": {
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"description": "OK",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/ListJobsResponse"
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}
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}
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}
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},
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"400": {
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"$ref": "#/components/responses/BadRequest400"
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},
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"429": {
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"$ref": "#/components/responses/TooManyRequests429"
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},
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"500": {
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"$ref": "#/components/responses/InternalServerError500"
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},
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"default": {
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"$ref": "#/components/responses/DefaultError"
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}
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},
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"tags": [
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"Jobs"
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],
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"description": "",
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"parameters": []
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}
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},
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"/v1/models": {
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"get": {
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"responses": {
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@ -4715,6 +4858,12 @@
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"CompletionResponse": {
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"type": "object",
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"properties": {
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"metrics": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/MetricEvent"
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}
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},
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"content": {
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"type": "string",
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"description": "The generated completion text"
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@ -5082,6 +5231,12 @@
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"CompletionResponseStreamChunk": {
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"type": "object",
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"properties": {
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"metrics": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/MetricEvent"
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}
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},
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"delta": {
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"type": "string",
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"description": "New content generated since last chunk. This can be one or more tokens."
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@ -7094,6 +7249,73 @@
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],
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"title": "UnionType"
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},
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"JobArtifact": {
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"type": "object",
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"properties": {
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"name": {
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"type": "string"
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},
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"type": {
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"type": "string"
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},
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"uri": {
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"type": "string"
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},
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"metadata": {
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"type": "object",
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"title": "dict",
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"description": "dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)"
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}
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},
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"additionalProperties": false,
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"required": [
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"name",
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"type",
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"uri",
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"metadata"
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],
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"title": "JobArtifact"
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},
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"JobInfo": {
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"type": "object",
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"properties": {
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"uuid": {
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"type": "string"
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},
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"type": {
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"type": "string"
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},
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"status": {
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"type": "string"
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},
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"scheduled_at": {
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"type": "string",
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"format": "date-time"
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},
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"started_at": {
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"type": "string",
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"format": "date-time"
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},
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"completed_at": {
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"type": "string",
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"format": "date-time"
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},
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"artifacts": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/JobArtifact"
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}
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}
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},
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"additionalProperties": false,
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"required": [
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"uuid",
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"type",
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"status",
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"artifacts"
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],
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"title": "JobInfo"
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},
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"Model": {
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"type": "object",
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"properties": {
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"title": "ListFileResponse",
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"description": "Response representing a list of file entries."
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},
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"ListJobsResponse": {
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"type": "object",
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"properties": {
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"data": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/JobInfo"
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}
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}
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},
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"additionalProperties": false,
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"required": [
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"data"
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],
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"title": "ListJobsResponse"
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},
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"ListModelsResponse": {
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"type": "object",
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"properties": {
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@ -10119,6 +10357,9 @@
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{
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"name": "Inspect"
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},
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{
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"name": "Jobs"
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},
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{
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"name": "Models"
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},
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"Files (Coming Soon)",
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"Inference",
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"Inspect",
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"Jobs",
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"Models",
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"PostTraining (Coming Soon)",
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"Safety",
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173
docs/_static/llama-stack-spec.yaml
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schema:
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$ref: '#/components/schemas/BatchCompletionRequest'
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required: true
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/v1/jobs/{job_id}/cancel:
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post:
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responses:
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'200':
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description: OK
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- Jobs
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description: ''
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parameters:
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- name: job_id
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in: path
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required: true
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schema:
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type: string
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/v1/post-training/job/cancel:
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post:
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responses:
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required: true
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schema:
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type: string
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/v1/jobs/{job_id}:
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get:
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responses:
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'200':
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description: OK
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/JobInfo'
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- Jobs
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description: ''
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parameters:
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- name: job_id
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in: path
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required: true
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schema:
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type: string
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delete:
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responses:
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'200':
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description: OK
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- Jobs
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description: ''
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parameters:
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- name: job_id
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in: path
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required: true
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schema:
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type: string
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/v1/inference/embeddings:
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post:
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responses:
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required: true
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schema:
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type: string
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/v1/jobs:
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get:
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responses:
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'200':
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description: OK
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/ListJobsResponse'
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'400':
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$ref: '#/components/responses/BadRequest400'
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'429':
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$ref: >-
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#/components/responses/TooManyRequests429
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'500':
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$ref: >-
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#/components/responses/InternalServerError500
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default:
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$ref: '#/components/responses/DefaultError'
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tags:
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- Jobs
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description: ''
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parameters: []
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/v1/models:
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get:
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responses:
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CompletionResponse:
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type: object
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properties:
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metrics:
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type: array
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items:
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$ref: '#/components/schemas/MetricEvent'
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content:
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type: string
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description: The generated completion text
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CompletionResponseStreamChunk:
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type: object
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properties:
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metrics:
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type: array
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items:
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$ref: '#/components/schemas/MetricEvent'
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delta:
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type: string
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description: >-
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required:
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- type
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title: UnionType
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JobArtifact:
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type: object
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properties:
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name:
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type: string
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type:
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type: string
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uri:
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type: string
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metadata:
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type: object
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title: dict
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description: >-
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dict() -> new empty dictionary dict(mapping) -> new dictionary initialized
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from a mapping object's (key, value) pairs dict(iterable) -> new dictionary
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initialized as if via: d = {} for k, v in iterable: d[k]
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= v dict(**kwargs) -> new dictionary initialized with the name=value pairs in
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the keyword argument list. For example: dict(one=1, two=2)
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additionalProperties: false
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required:
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- name
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- type
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- uri
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- metadata
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title: JobArtifact
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JobInfo:
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type: object
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properties:
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uuid:
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type: string
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type:
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type: string
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status:
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type: string
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scheduled_at:
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type: string
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format: date-time
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started_at:
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type: string
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format: date-time
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completed_at:
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type: string
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format: date-time
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artifacts:
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type: array
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items:
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$ref: '#/components/schemas/JobArtifact'
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additionalProperties: false
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required:
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- uuid
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- type
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- status
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- artifacts
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title: JobInfo
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Model:
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type: object
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properties:
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title: ListFileResponse
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description: >-
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Response representing a list of file entries.
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ListJobsResponse:
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type: object
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properties:
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data:
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type: array
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items:
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$ref: '#/components/schemas/JobInfo'
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additionalProperties: false
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required:
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- data
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title: ListJobsResponse
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ListModelsResponse:
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type: object
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properties:
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Llama Stack Inference API for generating completions, chat completions, and
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embeddings.
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- name: Inspect
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- name: Jobs
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- name: Models
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- name: PostTraining (Coming Soon)
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- name: Safety
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- Files (Coming Soon)
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- Inference
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- Inspect
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- Jobs
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- Models
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- PostTraining (Coming Soon)
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- Safety
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@ -36,6 +36,7 @@ class Api(Enum):
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||||
# built-in API
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inspect = "inspect"
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jobs = "jobs"
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@json_schema_type
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7
llama_stack/apis/jobs/__init__.py
Normal file
7
llama_stack/apis/jobs/__init__.py
Normal file
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from .jobs import * # noqa: F401 F403
|
61
llama_stack/apis/jobs/jobs.py
Normal file
61
llama_stack/apis/jobs/jobs.py
Normal file
|
@ -0,0 +1,61 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from datetime import datetime
|
||||
from typing import List, Optional, Protocol, runtime_checkable
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from llama_stack.schema_utils import json_schema_type, webmethod
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class JobArtifact(BaseModel):
|
||||
name: str
|
||||
type: str
|
||||
uri: str
|
||||
metadata: dict
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class JobInfo(BaseModel):
|
||||
uuid: str
|
||||
type: str
|
||||
status: str
|
||||
|
||||
scheduled_at: Optional[datetime] = None
|
||||
started_at: Optional[datetime] = None
|
||||
completed_at: Optional[datetime] = None
|
||||
|
||||
artifacts: List[JobArtifact]
|
||||
|
||||
|
||||
class ListJobsResponse(BaseModel):
|
||||
data: List[JobInfo]
|
||||
|
||||
|
||||
@runtime_checkable
|
||||
class Jobs(Protocol):
|
||||
@webmethod(route="/jobs/{job_id}/cancel", method="POST")
|
||||
async def cancel_job(
|
||||
self,
|
||||
job_id: str,
|
||||
) -> None: ...
|
||||
|
||||
@webmethod(route="/jobs/{job_id}", method="DELETE")
|
||||
async def delete_job(
|
||||
self,
|
||||
job_id: str,
|
||||
) -> None: ...
|
||||
|
||||
@webmethod(route="/jobs", method="GET")
|
||||
async def list_jobs(self) -> ListJobsResponse: ...
|
||||
|
||||
@webmethod(route="/jobs/{job_id}", method="GET")
|
||||
async def get_job(
|
||||
self,
|
||||
job_id: str,
|
||||
) -> JobInfo: ...
|
|
@ -11,6 +11,7 @@ from pydantic import BaseModel, Field
|
|||
|
||||
class ResourceType(Enum):
|
||||
model = "model"
|
||||
job = "job"
|
||||
shield = "shield"
|
||||
vector_db = "vector_db"
|
||||
dataset = "dataset"
|
||||
|
|
|
@ -56,7 +56,7 @@ def builtin_automatically_routed_apis() -> List[AutoRoutedApiInfo]:
|
|||
|
||||
def providable_apis() -> List[Api]:
|
||||
routing_table_apis = {x.routing_table_api for x in builtin_automatically_routed_apis()}
|
||||
return [api for api in Api if api not in routing_table_apis and api != Api.inspect]
|
||||
return [api for api in Api if api not in routing_table_apis and api not in (Api.inspect, Api.jobs)]
|
||||
|
||||
|
||||
def get_provider_registry() -> Dict[Api, Dict[str, ProviderSpec]]:
|
||||
|
|
48
llama_stack/distribution/jobs.py
Normal file
48
llama_stack/distribution/jobs.py
Normal file
|
@ -0,0 +1,48 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from llama_stack.apis.jobs import (
|
||||
JobInfo,
|
||||
Jobs,
|
||||
ListJobsResponse,
|
||||
)
|
||||
from llama_stack.distribution.datatypes import StackRunConfig
|
||||
|
||||
|
||||
class DistributionJobsConfig(BaseModel):
|
||||
run_config: StackRunConfig
|
||||
|
||||
|
||||
async def get_provider_impl(config, deps):
|
||||
impl = DistributionJobsImpl(config, deps)
|
||||
await impl.initialize()
|
||||
return impl
|
||||
|
||||
|
||||
class DistributionJobsImpl(Jobs):
|
||||
def __init__(self, config, deps):
|
||||
self.config = config
|
||||
self.deps = deps
|
||||
|
||||
async def initialize(self) -> None:
|
||||
pass
|
||||
|
||||
async def shutdown(self) -> None:
|
||||
pass
|
||||
|
||||
async def list_jobs(self) -> ListJobsResponse:
|
||||
raise NotImplementedError
|
||||
|
||||
async def delete_job(self, job_id: str) -> None:
|
||||
raise NotImplementedError
|
||||
|
||||
async def cancel_job(self, job_id: str) -> None:
|
||||
raise NotImplementedError
|
||||
|
||||
async def get_job(self, job_id: str) -> JobInfo:
|
||||
raise NotImplementedError
|
|
@ -14,6 +14,7 @@ from llama_stack.apis.datasets import Datasets
|
|||
from llama_stack.apis.eval import Eval
|
||||
from llama_stack.apis.inference import Inference
|
||||
from llama_stack.apis.inspect import Inspect
|
||||
from llama_stack.apis.jobs import Jobs
|
||||
from llama_stack.apis.models import Models
|
||||
from llama_stack.apis.post_training import PostTraining
|
||||
from llama_stack.apis.safety import Safety
|
||||
|
@ -62,6 +63,7 @@ def api_protocol_map() -> Dict[Api, Any]:
|
|||
Api.agents: Agents,
|
||||
Api.inference: Inference,
|
||||
Api.inspect: Inspect,
|
||||
Api.jobs: Jobs,
|
||||
Api.vector_io: VectorIO,
|
||||
Api.vector_dbs: VectorDBs,
|
||||
Api.models: Models,
|
||||
|
@ -226,26 +228,32 @@ def sort_providers_by_deps(
|
|||
{k: list(v.values()) for k, v in providers_with_specs.items()}
|
||||
)
|
||||
|
||||
# Append built-in "inspect" provider
|
||||
# Append built-in providers
|
||||
apis = [x[1].spec.api for x in sorted_providers]
|
||||
sorted_providers.append(
|
||||
deps = [x.value for x in apis]
|
||||
config = run_config.model_dump()
|
||||
sorted_providers += [
|
||||
(
|
||||
"inspect",
|
||||
name,
|
||||
ProviderWithSpec(
|
||||
provider_id="__builtin__",
|
||||
provider_type="__builtin__",
|
||||
config={"run_config": run_config.model_dump()},
|
||||
config={"run_config": config},
|
||||
spec=InlineProviderSpec(
|
||||
api=Api.inspect,
|
||||
api=api,
|
||||
provider_type="__builtin__",
|
||||
config_class="llama_stack.distribution.inspect.DistributionInspectConfig",
|
||||
module="llama_stack.distribution.inspect",
|
||||
config_class=f"llama_stack.distribution.{name}.Distribution{name.title()}Config",
|
||||
module=f"llama_stack.distribution.{name}",
|
||||
api_dependencies=apis,
|
||||
deps__=[x.value for x in apis],
|
||||
deps__=deps,
|
||||
),
|
||||
),
|
||||
)
|
||||
)
|
||||
for name, api in [
|
||||
("inspect", Api.inspect),
|
||||
("jobs", Api.jobs),
|
||||
]
|
||||
]
|
||||
|
||||
logger.debug(f"Resolved {len(sorted_providers)} providers")
|
||||
for api_str, provider in sorted_providers:
|
||||
|
|
|
@ -367,7 +367,9 @@ def main():
|
|||
continue
|
||||
apis_to_serve.add(inf.routing_table_api.value)
|
||||
|
||||
apis_to_serve.add("inspect")
|
||||
# also include builtin APIs
|
||||
apis_to_serve += {"inspect", "jobs"}
|
||||
|
||||
for api_str in apis_to_serve:
|
||||
api = Api(api_str)
|
||||
|
||||
|
|
|
@ -21,6 +21,7 @@ from llama_stack.apis.eval import Eval
|
|||
from llama_stack.apis.files import Files
|
||||
from llama_stack.apis.inference import Inference
|
||||
from llama_stack.apis.inspect import Inspect
|
||||
from llama_stack.apis.jobs import Jobs
|
||||
from llama_stack.apis.models import Models
|
||||
from llama_stack.apis.post_training import PostTraining
|
||||
from llama_stack.apis.safety import Safety
|
||||
|
@ -62,6 +63,7 @@ class LlamaStack(
|
|||
Models,
|
||||
Shields,
|
||||
Inspect,
|
||||
Jobs,
|
||||
ToolGroups,
|
||||
ToolRuntime,
|
||||
RAGToolRuntime,
|
||||
|
|
|
@ -168,6 +168,7 @@ exclude = [
|
|||
"^llama_stack/apis/files/files\\.py$",
|
||||
"^llama_stack/apis/inference/inference\\.py$",
|
||||
"^llama_stack/apis/inspect/inspect\\.py$",
|
||||
"^llama_stack/apis/jobs/jobs\\.py$",
|
||||
"^llama_stack/apis/models/models\\.py$",
|
||||
"^llama_stack/apis/post_training/post_training\\.py$",
|
||||
"^llama_stack/apis/resource\\.py$",
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue