feat: Updating files/content response to return additional fields

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-08-06 16:55:14 -04:00
parent e12524af85
commit a19c16428f
143 changed files with 6907 additions and 15104 deletions

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@ -53,24 +53,31 @@ The main points to consider are:
```
llama stack build -h
usage: llama stack build [-h] [--config CONFIG] [--template TEMPLATE] [--list-templates] [--image-type {container,venv}] [--image-name IMAGE_NAME] [--print-deps-only] [--run]
usage: llama stack build [-h] [--config CONFIG] [--template TEMPLATE] [--distro DISTRIBUTION] [--list-distros] [--image-type {container,venv}] [--image-name IMAGE_NAME] [--print-deps-only]
[--run] [--providers PROVIDERS]
Build a Llama stack container
options:
-h, --help show this help message and exit
--config CONFIG Path to a config file to use for the build. You can find example configs in llama_stack.cores/**/build.yaml. If this argument is not provided, you will
be prompted to enter information interactively (default: None)
--template TEMPLATE Name of the example template config to use for build. You may use `llama stack build --list-templates` to check out the available templates (default: None)
--list-templates Show the available templates for building a Llama Stack distribution (default: False)
--config CONFIG Path to a config file to use for the build. You can find example configs in llama_stack.cores/**/build.yaml. If this argument is not provided, you will be prompted to
enter information interactively (default: None)
--template TEMPLATE (deprecated) Name of the example template config to use for build. You may use `llama stack build --list-distros` to check out the available distributions (default:
None)
--distro DISTRIBUTION, --distribution DISTRIBUTION
Name of the distribution to use for build. You may use `llama stack build --list-distros` to check out the available distributions (default: None)
--list-distros, --list-distributions
Show the available distributions for building a Llama Stack distribution (default: False)
--image-type {container,venv}
Image Type to use for the build. If not specified, will use the image type from the template config. (default: None)
--image-name IMAGE_NAME
[for image-type=container|venv] Name of the virtual environment to use for the build. If not specified, currently active environment will be used if
found. (default: None)
[for image-type=container|venv] Name of the virtual environment to use for the build. If not specified, currently active environment will be used if found. (default:
None)
--print-deps-only Print the dependencies for the stack only, without building the stack (default: False)
--run Run the stack after building using the same image type, name, and other applicable arguments (default: False)
--providers PROVIDERS
Build a config for a list of providers and only those providers. This list is formatted like: api1=provider1,api2=provider2. Where there can be multiple providers per
API. (default: None)
```
After this step is complete, a file named `<name>-build.yaml` and template file `<name>-run.yaml` will be generated and saved at the output file path specified at the end of the command.

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@ -56,12 +56,12 @@ Breaking down the demo app, this section will show the core pieces that are used
### Setup Remote Inferencing
Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution:
```
python -m venv stack-fireworks
source stack-fireworks/bin/activate # On Windows: stack-fireworks\Scripts\activate
uv venv starter --python 3.12
source starter/bin/activate # On Windows: starter\Scripts\activate
pip install --no-cache llama-stack==0.2.2
llama stack build --distro fireworks --image-type venv
llama stack build --distro starter --image-type venv
export FIREWORKS_API_KEY=<SOME_KEY>
llama stack run fireworks --port 5050
llama stack run starter --port 5050
```
Ensure the Llama Stack server version is the same as the Kotlin SDK Library for maximum compatibility.

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@ -157,7 +157,7 @@ docker run \
If you've set up your local development environment, you can also build the image using your local virtual environment.
```bash
INFERENCE_MODEL=meta-llama/Llama-3.1-8b-Instruct
INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
llama stack build --distro nvidia --image-type venv
llama stack run ./run.yaml \
--port 8321 \