Merge remote-tracking branch 'origin/main' into resp_branching

This commit is contained in:
Ashwin Bharambe 2025-10-02 09:44:48 -07:00
commit c1c06e6e2f
65 changed files with 56610 additions and 61 deletions

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@ -96,6 +96,7 @@ jobs:
# Verify API specs exist for conformance testing
- name: Check API Specs
if: steps.skip-check.outputs.skip != 'true'
run: |
echo "Checking for API specification files..."
@ -134,10 +135,10 @@ jobs:
- name: Run OpenAPI Breaking Change Diff
if: steps.skip-check.outputs.skip != 'true'
run: |
oasdiff breaking --fail-on ERR base/docs/static/llama-stack-spec.yaml docs/static/llama-stack-spec.yaml --match-path '^/v1/'
oasdiff breaking --fail-on ERR $BASE_SPEC $CURRENT_SPEC --match-path '^/v1/'
# Report when test is skipped
- name: Report skip reason
if: steps.skip-check.outputs.skip == 'true'
run: |
oasdiff breaking --fail-on ERR $BASE_SPEC $CURRENT_SPEC --match-path '^/v1/'
echo "Conformance test skipped due to breaking change indicator"

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@ -61,7 +61,7 @@ Before pushing your changes, make sure that the pre-commit hooks have passed suc
We actively welcome your pull requests. However, please read the following. This is heavily inspired by [Ghostty](https://github.com/ghostty-org/ghostty/blob/main/CONTRIBUTING.md).
If in doubt, please open a [discussion](https://github.com/meta-llama/llama-stack/discussions); we can always convert that to an issue later.
If in doubt, please open a [discussion](https://github.com/llamastack/llama-stack/discussions); we can always convert that to an issue later.
### Issues
We use GitHub issues to track public bugs. Please ensure your description is
@ -165,8 +165,8 @@ Building a stack image will use the production version of the `llama-stack` and
Example:
```bash
cd work/
git clone https://github.com/meta-llama/llama-stack.git
git clone https://github.com/meta-llama/llama-stack-client-python.git
git clone https://github.com/llamastack/llama-stack.git
git clone https://github.com/llamastack/llama-stack-client-python.git
cd llama-stack
LLAMA_STACK_DIR=$(pwd) LLAMA_STACK_CLIENT_DIR=../llama-stack-client-python llama stack build --distro <...>
```

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@ -120,7 +120,7 @@ By reducing friction and complexity, Llama Stack empowers developers to focus on
### API Providers
Here is a list of the various API providers and available distributions that can help developers get started easily with Llama Stack.
Please checkout for [full list](https://llamastack.github.io/providers/index.html)
Please checkout for [full list](https://llamastack.github.io/docs/providers)
| API Provider Builder | Environments | Agents | Inference | VectorIO | Safety | Telemetry | Post Training | Eval | DatasetIO |
|:--------------------:|:------------:|:------:|:---------:|:--------:|:------:|:---------:|:-------------:|:----:|:--------:|
@ -151,7 +151,7 @@ Please checkout for [full list](https://llamastack.github.io/providers/index.htm
| NVIDIA NEMO | Hosted | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| NVIDIA | Hosted | | | | | | ✅ | ✅ | ✅ |
> **Note**: Additional providers are available through external packages. See [External Providers](https://llamastack.github.io/providers/external/index.html) documentation.
> **Note**: Additional providers are available through external packages. See [External Providers](https://llamastack.github.io/docs/providers/external) documentation.
### Distributions

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@ -102,7 +102,7 @@ You can start a chroma-db easily using docker.
# This is where the indices are persisted
mkdir -p $HOME/chromadb
podman run --rm -it \
docker run --rm -it \
--network host \
--name chromadb \
-v $HOME/chromadb:/chroma/chroma \
@ -127,7 +127,7 @@ docker run -it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v $HOME/.llama:/root/.llama \
# NOTE: mount the llama-stack / llama-model directories if testing local changes else not needed
-v /home/hjshah/git/llama-stack:/app/llama-stack-source -v /home/hjshah/git/llama-models:/app/llama-models-source \
-v $HOME/git/llama-stack:/app/llama-stack-source -v $HOME/git/llama-models:/app/llama-models-source \
# localhost/distribution-dell:dev if building / testing locally
llamastack/distribution-dell\
--port $LLAMA_STACK_PORT \

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@ -14,13 +14,13 @@ Llama Stack is the open-source framework for building generative AI applications
:::tip Llama 4 is here!
Check out [Getting Started with Llama 4](https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/getting_started_llama4.ipynb)
Check out [Getting Started with Llama 4](https://colab.research.google.com/github/llamastack/llama-stack/blob/main/docs/getting_started_llama4.ipynb)
:::
:::tip News
Llama Stack is now available! See the [release notes](https://github.com/meta-llama/llama-stack/releases) for more details.
Llama Stack is now available! See the [release notes](https://github.com/llamastack/llama-stack/releases) for more details.
:::

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@ -15,6 +15,50 @@ const config: Config = {
onBrokenMarkdownLinks: "warn",
favicon: "img/favicon.ico",
// Enhanced favicon and meta configuration
headTags: [
{
tagName: 'link',
attributes: {
rel: 'icon',
type: 'image/png',
sizes: '32x32',
href: '/img/favicon-32x32.png',
},
},
{
tagName: 'link',
attributes: {
rel: 'icon',
type: 'image/png',
sizes: '16x16',
href: '/img/favicon-16x16.png',
},
},
{
tagName: 'link',
attributes: {
rel: 'apple-touch-icon',
sizes: '180x180',
href: '/img/llama-stack-logo.png',
},
},
{
tagName: 'meta',
attributes: {
name: 'theme-color',
content: '#7C3AED', // Purple color from your logo
},
},
{
tagName: 'link',
attributes: {
rel: 'manifest',
href: '/site.webmanifest',
},
},
],
// GitHub pages deployment config.
organizationName: 'reluctantfuturist',
projectName: 'llama-stack',

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@ -34,10 +34,17 @@ def str_presenter(dumper, data):
return dumper.represent_scalar("tag:yaml.org,2002:str", data, style=style)
def generate_spec(output_dir: Path, stability_filter: str = None, main_spec: bool = False):
def generate_spec(output_dir: Path, stability_filter: str = None, main_spec: bool = False, combined_spec: bool = False):
"""Generate OpenAPI spec with optional stability filtering."""
if stability_filter:
if combined_spec:
# Special case for combined stable + experimental APIs
title_suffix = " - Stable & Experimental APIs"
filename_prefix = "stainless-"
description_suffix = "\n\n**🔗 COMBINED**: This specification includes both stable production-ready APIs and experimental pre-release APIs. Use stable APIs for production deployments and experimental APIs for testing new features."
# Use the special "stainless" filter to include stable + experimental APIs
stability_filter = "stainless"
elif stability_filter:
title_suffix = {
"stable": " - Stable APIs" if not main_spec else "",
"experimental": " - Experimental APIs",
@ -125,6 +132,9 @@ def main(output_dir: str):
generate_spec(output_dir, "experimental")
generate_spec(output_dir, "deprecated")
print("Generating combined stable + experimental specification...")
generate_spec(output_dir, combined_spec=True)
if __name__ == "__main__":
fire.Fire(main)

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@ -948,6 +948,10 @@ class Generator:
# Include only deprecated endpoints
if deprecated:
filtered_operations.append(op)
elif self.options.stability_filter == "stainless":
# Include both stable (v1 non-deprecated) and experimental (v1alpha, v1beta) endpoints
if (stability_level == "v1" and not deprecated) or stability_level in ["v1alpha", "v1beta"]:
filtered_operations.append(op)
operations = filtered_operations
print(

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@ -16,7 +16,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Getting Started',
collapsed: false,
collapsed: true,
items: [
'getting_started/quickstart',
'getting_started/detailed_tutorial',
@ -26,7 +26,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Concepts',
collapsed: false,
collapsed: true,
items: [
'concepts/index',
'concepts/architecture',
@ -48,7 +48,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Distributions',
collapsed: false,
collapsed: true,
items: [
'distributions/index',
'distributions/list_of_distributions',
@ -93,7 +93,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Providers',
collapsed: false,
collapsed: true,
items: [
'providers/index',
{
@ -276,7 +276,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Building Applications',
collapsed: false,
collapsed: true,
items: [
'building_applications/index',
'building_applications/rag',
@ -293,7 +293,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Advanced APIs',
collapsed: false,
collapsed: true,
items: [
'advanced_apis/post_training',
'advanced_apis/evaluation',
@ -303,7 +303,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Deploying',
collapsed: false,
collapsed: true,
items: [
'deploying/index',
'deploying/kubernetes_deployment',
@ -313,7 +313,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'Contributing',
collapsed: false,
collapsed: true,
items: [
'contributing/index',
'contributing/new_api_provider',
@ -324,7 +324,7 @@ const sidebars: SidebarsConfig = {
{
type: 'category',
label: 'References',
collapsed: false,
collapsed: true,
items: [
'references/index',
'references/llama_cli_reference/index',

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@ -1310,16 +1310,11 @@
"post": {
"responses": {
"200": {
"description": "An OpenAIResponseObject.",
"description": "A ListOpenAIResponseObject.",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/OpenAIResponseObject"
}
},
"text/event-stream": {
"schema": {
"$ref": "#/components/schemas/OpenAIResponseObjectStream"
"$ref": "#/components/schemas/ListOpenAIResponseObject"
}
}
}
@ -1340,14 +1335,14 @@
"tags": [
"Agents"
],
"summary": "Create a new OpenAI response.",
"description": "Create a new OpenAI response.",
"summary": "List all OpenAI responses.",
"description": "List all OpenAI responses.",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/CreateOpenaiResponseRequest"
"$ref": "#/components/schemas/ListOpenaiResponsesRequest"
}
}
},
@ -8238,6 +8233,33 @@
],
"title": "OpenAIResponseObjectStreamResponseWebSearchCallSearching"
},
"ListOpenaiResponsesRequest": {
"type": "object",
"properties": {
"after": {
"type": "string",
"description": "The ID of the last response to return."
},
"limit": {
"type": "integer",
"description": "The number of responses to return."
},
"model": {
"type": "string",
"description": "The model to filter responses by."
},
"order": {
"type": "string",
"enum": [
"asc",
"desc"
],
"description": "The order to sort responses by when sorted by created_at ('asc' or 'desc')."
}
},
"additionalProperties": false,
"title": "ListOpenaiResponsesRequest"
},
"OpenAIDeleteResponseObject": {
"type": "object",
"properties": {

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@ -967,14 +967,11 @@ paths:
post:
responses:
'200':
description: An OpenAIResponseObject.
description: A ListOpenAIResponseObject.
content:
application/json:
schema:
$ref: '#/components/schemas/OpenAIResponseObject'
text/event-stream:
schema:
$ref: '#/components/schemas/OpenAIResponseObjectStream'
$ref: '#/components/schemas/ListOpenAIResponseObject'
'400':
$ref: '#/components/responses/BadRequest400'
'429':
@ -987,14 +984,14 @@ paths:
$ref: '#/components/responses/DefaultError'
tags:
- Agents
summary: Create a new OpenAI response.
description: Create a new OpenAI response.
summary: List all OpenAI responses.
description: List all OpenAI responses.
parameters: []
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/CreateOpenaiResponseRequest'
$ref: '#/components/schemas/ListOpenaiResponsesRequest'
required: true
deprecated: false
/v1/responses/{response_id}:
@ -6199,6 +6196,27 @@ components:
- type
title: >-
OpenAIResponseObjectStreamResponseWebSearchCallSearching
ListOpenaiResponsesRequest:
type: object
properties:
after:
type: string
description: The ID of the last response to return.
limit:
type: integer
description: The number of responses to return.
model:
type: string
description: The model to filter responses by.
order:
type: string
enum:
- asc
- desc
description: >-
The order to sort responses by when sorted by created_at ('asc' or 'desc').
additionalProperties: false
title: ListOpenaiResponsesRequest
OpenAIDeleteResponseObject:
type: object
properties:

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@ -0,0 +1,36 @@
{
"name": "Llama Stack",
"short_name": "Llama Stack",
"description": "The open-source framework for building generative AI applications",
"start_url": "/",
"display": "standalone",
"theme_color": "#7C3AED",
"background_color": "#ffffff",
"icons": [
{
"src": "/img/favicon-16x16.png",
"sizes": "16x16",
"type": "image/png"
},
{
"src": "/img/favicon-32x32.png",
"sizes": "32x32",
"type": "image/png"
},
{
"src": "/img/favicon-48x48.png",
"sizes": "48x48",
"type": "image/png"
},
{
"src": "/img/favicon-64x64.png",
"sizes": "64x64",
"type": "image/png"
},
{
"src": "/img/llama-stack-logo.png",
"sizes": "200x200",
"type": "image/png"
}
]
}

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@ -772,6 +772,12 @@ class Agents(Protocol):
#
# Both of these APIs are inherently stateful.
@webmethod(
route="/openai/v1/responses/{response_id}",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(route="/responses/{response_id}", method="GET", level=LLAMA_STACK_API_V1)
async def get_openai_response(
self,
@ -784,6 +790,7 @@ class Agents(Protocol):
"""
...
@webmethod(route="/openai/v1/responses", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/responses", method="POST", level=LLAMA_STACK_API_V1)
async def create_openai_response(
self,
@ -809,6 +816,7 @@ class Agents(Protocol):
"""
...
@webmethod(route="/openai/v1/responses", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/responses", method="GET", level=LLAMA_STACK_API_V1)
async def list_openai_responses(
self,
@ -828,10 +836,9 @@ class Agents(Protocol):
...
@webmethod(
route="/responses/{response_id}/input_items",
method="GET",
level=LLAMA_STACK_API_V1,
route="/openai/v1/responses/{response_id}/input_items", method="GET", level=LLAMA_STACK_API_V1, deprecated=True
)
@webmethod(route="/responses/{response_id}/input_items", method="GET", level=LLAMA_STACK_API_V1)
async def list_openai_response_input_items(
self,
response_id: str,
@ -853,6 +860,7 @@ class Agents(Protocol):
"""
...
@webmethod(route="/openai/v1/responses/{response_id}", method="DELETE", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/responses/{response_id}", method="DELETE", level=LLAMA_STACK_API_V1)
async def delete_openai_response(self, response_id: str) -> OpenAIDeleteResponseObject:
"""Delete an OpenAI response by its ID.

View file

@ -43,6 +43,7 @@ class Batches(Protocol):
Note: This API is currently under active development and may undergo changes.
"""
@webmethod(route="/openai/v1/batches", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/batches", method="POST", level=LLAMA_STACK_API_V1)
async def create_batch(
self,
@ -63,6 +64,7 @@ class Batches(Protocol):
"""
...
@webmethod(route="/openai/v1/batches/{batch_id}", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/batches/{batch_id}", method="GET", level=LLAMA_STACK_API_V1)
async def retrieve_batch(self, batch_id: str) -> BatchObject:
"""Retrieve information about a specific batch.
@ -72,6 +74,7 @@ class Batches(Protocol):
"""
...
@webmethod(route="/openai/v1/batches/{batch_id}/cancel", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/batches/{batch_id}/cancel", method="POST", level=LLAMA_STACK_API_V1)
async def cancel_batch(self, batch_id: str) -> BatchObject:
"""Cancel a batch that is in progress.
@ -81,6 +84,7 @@ class Batches(Protocol):
"""
...
@webmethod(route="/openai/v1/batches", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/batches", method="GET", level=LLAMA_STACK_API_V1)
async def list_batches(
self,

View file

@ -105,6 +105,7 @@ class OpenAIFileDeleteResponse(BaseModel):
@trace_protocol
class Files(Protocol):
# OpenAI Files API Endpoints
@webmethod(route="/openai/v1/files", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/files", method="POST", level=LLAMA_STACK_API_V1)
async def openai_upload_file(
self,
@ -127,6 +128,7 @@ class Files(Protocol):
"""
...
@webmethod(route="/openai/v1/files", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/files", method="GET", level=LLAMA_STACK_API_V1)
async def openai_list_files(
self,
@ -146,6 +148,7 @@ class Files(Protocol):
"""
...
@webmethod(route="/openai/v1/files/{file_id}", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/files/{file_id}", method="GET", level=LLAMA_STACK_API_V1)
async def openai_retrieve_file(
self,
@ -159,6 +162,7 @@ class Files(Protocol):
"""
...
@webmethod(route="/openai/v1/files/{file_id}", method="DELETE", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/files/{file_id}", method="DELETE", level=LLAMA_STACK_API_V1)
async def openai_delete_file(
self,
@ -172,6 +176,7 @@ class Files(Protocol):
"""
...
@webmethod(route="/openai/v1/files/{file_id}/content", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/files/{file_id}/content", method="GET", level=LLAMA_STACK_API_V1)
async def openai_retrieve_file_content(
self,

View file

@ -1064,6 +1064,7 @@ class InferenceProvider(Protocol):
raise NotImplementedError("Reranking is not implemented")
return # this is so mypy's safe-super rule will consider the method concrete
@webmethod(route="/openai/v1/completions", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/completions", method="POST", level=LLAMA_STACK_API_V1)
async def openai_completion(
self,
@ -1115,6 +1116,7 @@ class InferenceProvider(Protocol):
"""
...
@webmethod(route="/openai/v1/chat/completions", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/chat/completions", method="POST", level=LLAMA_STACK_API_V1)
async def openai_chat_completion(
self,
@ -1171,6 +1173,7 @@ class InferenceProvider(Protocol):
"""
...
@webmethod(route="/openai/v1/embeddings", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/embeddings", method="POST", level=LLAMA_STACK_API_V1)
async def openai_embeddings(
self,
@ -1200,6 +1203,7 @@ class Inference(InferenceProvider):
- Embedding models: these models generate embeddings to be used for semantic search.
"""
@webmethod(route="/openai/v1/chat/completions", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/chat/completions", method="GET", level=LLAMA_STACK_API_V1)
async def list_chat_completions(
self,
@ -1218,6 +1222,9 @@ class Inference(InferenceProvider):
"""
raise NotImplementedError("List chat completions is not implemented")
@webmethod(
route="/openai/v1/chat/completions/{completion_id}", method="GET", level=LLAMA_STACK_API_V1, deprecated=True
)
@webmethod(route="/chat/completions/{completion_id}", method="GET", level=LLAMA_STACK_API_V1)
async def get_chat_completion(self, completion_id: str) -> OpenAICompletionWithInputMessages:
"""Describe a chat completion by its ID.

View file

@ -111,6 +111,14 @@ class Models(Protocol):
"""
...
@webmethod(route="/openai/v1/models", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
async def openai_list_models(self) -> OpenAIListModelsResponse:
"""List models using the OpenAI API.
:returns: A OpenAIListModelsResponse.
"""
...
@webmethod(route="/models/{model_id:path}", method="GET", level=LLAMA_STACK_API_V1)
async def get_model(
self,

View file

@ -114,6 +114,7 @@ class Safety(Protocol):
"""
...
@webmethod(route="/openai/v1/moderations", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/moderations", method="POST", level=LLAMA_STACK_API_V1)
async def run_moderation(self, input: str | list[str], model: str) -> ModerationObject:
"""Classifies if text and/or image inputs are potentially harmful.

View file

@ -512,6 +512,7 @@ class VectorIO(Protocol):
...
# OpenAI Vector Stores API endpoints
@webmethod(route="/openai/v1/vector_stores", method="POST", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/vector_stores", method="POST", level=LLAMA_STACK_API_V1)
async def openai_create_vector_store(
self,
@ -538,6 +539,7 @@ class VectorIO(Protocol):
"""
...
@webmethod(route="/openai/v1/vector_stores", method="GET", level=LLAMA_STACK_API_V1, deprecated=True)
@webmethod(route="/vector_stores", method="GET", level=LLAMA_STACK_API_V1)
async def openai_list_vector_stores(
self,
@ -556,6 +558,9 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}", method="GET", level=LLAMA_STACK_API_V1, deprecated=True
)
@webmethod(route="/vector_stores/{vector_store_id}", method="GET", level=LLAMA_STACK_API_V1)
async def openai_retrieve_vector_store(
self,
@ -568,6 +573,9 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}", method="POST", level=LLAMA_STACK_API_V1, deprecated=True
)
@webmethod(
route="/vector_stores/{vector_store_id}",
method="POST",
@ -590,6 +598,9 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}", method="DELETE", level=LLAMA_STACK_API_V1, deprecated=True
)
@webmethod(
route="/vector_stores/{vector_store_id}",
method="DELETE",
@ -606,6 +617,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/search",
method="POST",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/search",
method="POST",
@ -638,6 +655,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files",
method="POST",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files",
method="POST",
@ -660,6 +683,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files",
method="GET",
@ -686,6 +715,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files/{file_id}",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files/{file_id}",
method="GET",
@ -704,6 +739,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files/{file_id}/content",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files/{file_id}/content",
method="GET",
@ -722,6 +763,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files/{file_id}",
method="POST",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files/{file_id}",
method="POST",
@ -742,6 +789,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/files/{file_id}",
method="DELETE",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/files/{file_id}",
method="DELETE",
@ -765,6 +818,12 @@ class VectorIO(Protocol):
method="POST",
level=LLAMA_STACK_API_V1,
)
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/file_batches",
method="POST",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
async def openai_create_vector_store_file_batch(
self,
vector_store_id: str,
@ -787,6 +846,12 @@ class VectorIO(Protocol):
method="GET",
level=LLAMA_STACK_API_V1,
)
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
async def openai_retrieve_vector_store_file_batch(
self,
batch_id: str,
@ -800,6 +865,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
method="GET",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/file_batches/{batch_id}/files",
method="GET",
@ -828,6 +899,12 @@ class VectorIO(Protocol):
"""
...
@webmethod(
route="/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
method="POST",
level=LLAMA_STACK_API_V1,
deprecated=True,
)
@webmethod(
route="/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel",
method="POST",

View file

@ -115,7 +115,7 @@ docker run -it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v $HOME/.llama:/root/.llama \
# NOTE: mount the llama-stack directory if testing local changes else not needed
-v /home/hjshah/git/llama-stack:/app/llama-stack-source \
-v $HOME/git/llama-stack:/app/llama-stack-source \
# localhost/distribution-dell:dev if building / testing locally
llamastack/distribution-{{ name }}\
--port $LLAMA_STACK_PORT \

View file

@ -50,6 +50,12 @@ from llama_stack.apis.inference import (
CompletionMessage,
Inference,
Message,
OpenAIAssistantMessageParam,
OpenAIDeveloperMessageParam,
OpenAIMessageParam,
OpenAISystemMessageParam,
OpenAIToolMessageParam,
OpenAIUserMessageParam,
SamplingParams,
StopReason,
SystemMessage,
@ -67,6 +73,11 @@ from llama_stack.models.llama.datatypes import (
BuiltinTool,
ToolCall,
)
from llama_stack.providers.utils.inference.openai_compat import (
convert_message_to_openai_dict_new,
convert_openai_chat_completion_stream,
convert_tooldef_to_openai_tool,
)
from llama_stack.providers.utils.kvstore import KVStore
from llama_stack.providers.utils.telemetry import tracing
@ -176,12 +187,12 @@ class ChatAgent(ShieldRunnerMixin):
return messages
async def create_and_execute_turn(self, request: AgentTurnCreateRequest) -> AsyncGenerator:
turn_id = str(uuid.uuid4())
span = tracing.get_current_span()
if span:
span.set_attribute("session_id", request.session_id)
span.set_attribute("agent_id", self.agent_id)
span.set_attribute("request", request.model_dump_json())
turn_id = str(uuid.uuid4())
span.set_attribute("turn_id", turn_id)
if self.agent_config.name:
span.set_attribute("agent_name", self.agent_config.name)
@ -504,26 +515,93 @@ class ChatAgent(ShieldRunnerMixin):
tool_calls = []
content = ""
stop_reason = None
stop_reason: StopReason | None = None
async with tracing.span("inference") as span:
if self.agent_config.name:
span.set_attribute("agent_name", self.agent_config.name)
async for chunk in await self.inference_api.chat_completion(
self.agent_config.model,
input_messages,
tools=self.tool_defs,
tool_prompt_format=self.agent_config.tool_config.tool_prompt_format,
def _serialize_nested(value):
"""Recursively serialize nested Pydantic models to dicts."""
from pydantic import BaseModel
if isinstance(value, BaseModel):
return value.model_dump(mode="json")
elif isinstance(value, dict):
return {k: _serialize_nested(v) for k, v in value.items()}
elif isinstance(value, list):
return [_serialize_nested(item) for item in value]
else:
return value
def _add_type(openai_msg: dict) -> OpenAIMessageParam:
# Serialize any nested Pydantic models to plain dicts
openai_msg = _serialize_nested(openai_msg)
role = openai_msg.get("role")
if role == "user":
return OpenAIUserMessageParam(**openai_msg)
elif role == "system":
return OpenAISystemMessageParam(**openai_msg)
elif role == "assistant":
return OpenAIAssistantMessageParam(**openai_msg)
elif role == "tool":
return OpenAIToolMessageParam(**openai_msg)
elif role == "developer":
return OpenAIDeveloperMessageParam(**openai_msg)
else:
raise ValueError(f"Unknown message role: {role}")
# Convert messages to OpenAI format
openai_messages: list[OpenAIMessageParam] = [
_add_type(await convert_message_to_openai_dict_new(message)) for message in input_messages
]
# Convert tool definitions to OpenAI format
openai_tools = [convert_tooldef_to_openai_tool(x) for x in (self.tool_defs or [])]
# Extract tool_choice from tool_config for OpenAI compatibility
# Note: tool_choice can only be provided when tools are also provided
tool_choice = None
if openai_tools and self.agent_config.tool_config and self.agent_config.tool_config.tool_choice:
tc = self.agent_config.tool_config.tool_choice
tool_choice_str = tc.value if hasattr(tc, "value") else str(tc)
# Convert tool_choice to OpenAI format
if tool_choice_str in ("auto", "none", "required"):
tool_choice = tool_choice_str
else:
# It's a specific tool name, wrap it in the proper format
tool_choice = {"type": "function", "function": {"name": tool_choice_str}}
# Convert sampling params to OpenAI format (temperature, top_p, max_tokens)
temperature = getattr(getattr(sampling_params, "strategy", None), "temperature", None)
top_p = getattr(getattr(sampling_params, "strategy", None), "top_p", None)
max_tokens = getattr(sampling_params, "max_tokens", None)
# Use OpenAI chat completion
openai_stream = await self.inference_api.openai_chat_completion(
model=self.agent_config.model,
messages=openai_messages,
tools=openai_tools if openai_tools else None,
tool_choice=tool_choice,
response_format=self.agent_config.response_format,
temperature=temperature,
top_p=top_p,
max_tokens=max_tokens,
stream=True,
sampling_params=sampling_params,
tool_config=self.agent_config.tool_config,
):
)
# Convert OpenAI stream back to Llama Stack format
response_stream = convert_openai_chat_completion_stream(
openai_stream, enable_incremental_tool_calls=True
)
async for chunk in response_stream:
event = chunk.event
if event.event_type == ChatCompletionResponseEventType.start:
continue
elif event.event_type == ChatCompletionResponseEventType.complete:
stop_reason = StopReason.end_of_turn
stop_reason = event.stop_reason or StopReason.end_of_turn
continue
delta = event.delta
@ -532,7 +610,7 @@ class ChatAgent(ShieldRunnerMixin):
tool_calls.append(delta.tool_call)
elif delta.parse_status == ToolCallParseStatus.failed:
# If we cannot parse the tools, set the content to the unparsed raw text
content = delta.tool_call
content = str(delta.tool_call)
if stream:
yield AgentTurnResponseStreamChunk(
event=AgentTurnResponseEvent(
@ -559,9 +637,7 @@ class ChatAgent(ShieldRunnerMixin):
else:
raise ValueError(f"Unexpected delta type {type(delta)}")
if event.stop_reason is not None:
stop_reason = event.stop_reason
span.set_attribute("stop_reason", stop_reason)
span.set_attribute("stop_reason", stop_reason or StopReason.end_of_turn)
span.set_attribute(
"input",
json.dumps([json.loads(m.model_dump_json()) for m in input_messages]),

View file

@ -147,7 +147,7 @@ benchmark = [
]
[project.urls]
Homepage = "https://github.com/meta-llama/llama-stack"
Homepage = "https://github.com/llamastack/llama-stack"
[project.scripts]
llama = "llama_stack.cli.llama:main"

View file

@ -0,0 +1,609 @@
{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant"
},
{
"role": "user",
"content": "What is 2 + 2?"
},
{
"role": "assistant",
"content": "2 + 2 = 4"
},
{
"role": "user",
"content": "Tell me a short joke"
}
],
"max_tokens": 0,
"stream": true
},
"endpoint": "/v1/chat/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": "Here",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759368459,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": "'s",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759368459,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": " one",
"function_call": null,
"refusal": null,
"role": "assistant",
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},
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"index": 0,
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": ":\n\n",
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},
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}
],
"created": 1759368459,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
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"refusal": null,
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},
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}
],
"created": 1759368459,
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"object": "chat.completion.chunk",
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": " do",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
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},
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}
],
"created": 1759368459,
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"object": "chat.completion.chunk",
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": " call",
"function_call": null,
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},
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
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],
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
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{
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],
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
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{
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],
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
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{
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],
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
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},
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
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"function_call": null,
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},
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"index": 0,
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
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},
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
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},
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": "...)\n\n",
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"refusal": null,
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},
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}
],
"created": 1759368459,
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}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-827",
"choices": [
{
"delta": {
"content": "An",
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"refusal": null,
"role": "assistant",
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},
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"index": 0,
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}
],
"created": 1759368459,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
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}
},
{
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