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Adds markdown-link-check and fixes a broken link

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Signed-off-by: Adrian Cole <adrian.cole@elastic.co>
This commit is contained in:
Adrian Cole 2024-10-01 13:23:37 +08:00
parent eb2d8a31a5
commit de8fdd8db8
4 changed files with 10 additions and 5 deletions
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6
.pre-commit-config.yaml
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@ -51,3 +51,9 @@ repos:
# hooks: # hooks:
# - id: pydoclint # - id: pydoclint
# args: [--config=pyproject.toml] # args: [--config=pyproject.toml]
- repo: https://github.com/tcort/markdown-link-check
rev: v3.11.2
hooks:
- id: markdown-link-check
args: ['--quiet']

2
docs/cli_reference.md
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@ -5,7 +5,7 @@ The `llama` CLI tool helps you setup and use the Llama toolchain & agentic syste
### Subcommands ### Subcommands
1. `download`: `llama` cli tools supports downloading the model from Meta or Hugging Face. 1. `download`: `llama` cli tools supports downloading the model from Meta or Hugging Face.
2. `model`: Lists available models and their properties. 2. `model`: Lists available models and their properties.
3. `stack`: Allows you to build and run a Llama Stack server. You can read more about this [here](/docs/cli_reference.md#step-3-building-configuring-and-running-llama-stack-servers). 3. `stack`: Allows you to build and run a Llama Stack server. You can read more about this [here](cli_reference.md#step-3-building-and-configuring-llama-stack-distributions).
### Sample Usage ### Sample Usage

4
llama_stack/providers/registry/inference.py
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@ -98,9 +98,7 @@ def available_providers() -> List[ProviderSpec]:
api=Api.inference, api=Api.inference,
adapter=AdapterSpec( adapter=AdapterSpec(
adapter_id="bedrock", adapter_id="bedrock",
pip_packages=[ pip_packages=["boto3"],
"boto3"
],
module="llama_stack.providers.adapters.inference.bedrock", module="llama_stack.providers.adapters.inference.bedrock",
config_class="llama_stack.providers.adapters.inference.bedrock.BedrockConfig", config_class="llama_stack.providers.adapters.inference.bedrock.BedrockConfig",
), ),

3
llama_stack/providers/utils/inference/augment_messages.py
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@ -34,7 +34,8 @@ def augment_messages_for_tools(request: ChatCompletionRequest) -> List[Message]:
return request.messages return request.messages
if model.model_family == ModelFamily.llama3_1 or ( if model.model_family == ModelFamily.llama3_1 or (
model.model_family == ModelFamily.llama3_2 and is_multimodal(model.core_model_id) model.model_family == ModelFamily.llama3_2
and is_multimodal(model.core_model_id)
): ):
# llama3.1 and llama3.2 multimodal models follow the same tool prompt format # llama3.1 and llama3.2 multimodal models follow the same tool prompt format
return augment_messages_for_tools_llama_3_1(request) return augment_messages_for_tools_llama_3_1(request)