forked from phoenix-oss/llama-stack-mirror
CLI - add back build wizard, configure with name instead of build.yaml (#74)
* add back wizard for build * conda build path move * polish message * run with name only * prompt for build * improve comments * update msgs * add new lines * move build.yaml * address comments * validator for providers * move imports * Please enter -> enter * comments, get started guide * nits * fix cprint import * fix imports
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@ -8,43 +8,61 @@ This guides allows you to quickly get started with building and running a Llama
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- Quick 3 line command to build and start a LlamaStack server using our Meta Reference implementation for all API endpoints with `conda` as build type.
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**`llama stack build`**
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- You'll be prompted to enter build information interactively.
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```
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llama stack build ./llama_stack/distribution/example_configs/conda/local-conda-example-build.yaml --name my-local-llama-stack
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...
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...
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Build spec configuration saved at ~/.llama/distributions/conda/my-local-llama-stack-build.yaml
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llama stack build
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> Enter an unique name for identifying your Llama Stack build distribution (e.g. my-local-stack): my-local-llama-stack
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> Enter the image type you want your distribution to be built with (docker or conda): conda
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Llama Stack is composed of several APIs working together. Let's configure the providers (implementations) you want to use for these APIs.
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> Enter the API provider for the inference API: (default=meta-reference): meta-reference
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> Enter the API provider for the safety API: (default=meta-reference): meta-reference
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> Enter the API provider for the agents API: (default=meta-reference): meta-reference
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> Enter the API provider for the memory API: (default=meta-reference): meta-reference
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> Enter the API provider for the telemetry API: (default=meta-reference): meta-reference
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> (Optional) Enter a short description for your Llama Stack distribution:
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Build spec configuration saved at ~/.conda/envs/llamastack-my-local-llama-stack/my-local-llama-stack-build.yaml
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```
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**`llama stack configure`**
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```
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llama stack configure ~/.llama/distributions/conda/my-local-llama-stack-build.yaml
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llama stack configure my-local-llama-stack
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Configuring API: inference (meta-reference)
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Configuring APIs to serve...
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Enter comma-separated list of APIs to serve:
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Configuring API `inference`...
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Configuring provider `meta-reference`...
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Enter value for model (default: Meta-Llama3.1-8B-Instruct) (required):
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Enter value for quantization (optional):
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Do you want to configure quantization? (y/n): n
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Enter value for torch_seed (optional):
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Enter value for max_seq_len (required): 4096
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Enter value for max_batch_size (default: 1) (required):
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Configuring API `safety`...
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Configuring API: memory (meta-reference-faiss)
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Configuring API: safety (meta-reference)
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Configuring provider `meta-reference`...
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Do you want to configure llama_guard_shield? (y/n): n
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Do you want to configure prompt_guard_shield? (y/n): n
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Configuring API `agents`...
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Configuring API: agentic_system (meta-reference)
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Enter value for brave_search_api_key (optional):
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Enter value for bing_search_api_key (optional):
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Enter value for wolfram_api_key (optional):
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Configuring provider `meta-reference`...
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Configuring API `memory`...
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Configuring API: telemetry (console)
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Configuring provider `meta-reference`...
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Configuring API `telemetry`...
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YAML configuration has been written to ~/.llama/builds/conda/my-local-llama-stack-run.yaml
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Configuring provider `meta-reference`...
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> YAML configuration has been written to /home/xiyan/.llama/builds/conda/my-local-llama-stack-run.yaml.
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You can now run `llama stack run my-local-llama-stack --port PORT` or `llama stack run /home/xiyan/.llama/builds/conda/my-local-llama-stack-run.yaml --port PORT
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```
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**`llama stack run`**
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```
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llama stack run ~/.llama/builds/conda/my-local-llama-stack-run.yaml
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llama stack run my-local-llama-stack
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...
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> initializing model parallel with size 1
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