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add WatsonX inference adapter
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7
llama_stack/templates/watsonx/__init__.py
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7
llama_stack/templates/watsonx/__init__.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from .watsonx import get_distribution_template # noqa: F401
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30
llama_stack/templates/watsonx/build.yaml
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llama_stack/templates/watsonx/build.yaml
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version: '2'
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distribution_spec:
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description: Use WatsonX for running LLM inference
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providers:
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inference:
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- remote::watsonx
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vector_io:
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- inline::faiss
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safety:
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- inline::llama-guard
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agents:
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- inline::meta-reference
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telemetry:
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- inline::meta-reference
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eval:
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- inline::meta-reference
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datasetio:
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- remote::huggingface
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- inline::localfs
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scoring:
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- inline::basic
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- inline::llm-as-judge
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- inline::braintrust
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tool_runtime:
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- remote::brave-search
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- remote::tavily-search
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- inline::code-interpreter
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- inline::rag-runtime
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- remote::model-context-protocol
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image_type: venv
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87
llama_stack/templates/watsonx/run.yaml
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llama_stack/templates/watsonx/run.yaml
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version: '2'
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image_name: watsonx
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apis:
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- agents
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- datasetio
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- eval
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- inference
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- safety
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- scoring
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- telemetry
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- tool_runtime
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- vector_io
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providers:
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inference:
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- provider_id: watsonx
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provider_type: remote::watsonx
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config:
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url: ${env.WATSONX_BASE_URL:https://us-south.ml.cloud.ibm.com}
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api_key: ${env.WATSONX_API_KEY:}
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project_id: ${env.WATSONX_PROJECT_ID:}
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config: {}
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agents:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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persistence_store:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/llamastack-watsonx}/agents_store.db
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vector_io:
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- provider_id: faiss
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provider_type: inline::faiss
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config:
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kvstore:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/llamastack-watsonx}/faiss_store.db
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datasetio:
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- provider_id: huggingface
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provider_type: remote::huggingface
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config: {}
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- provider_id: localfs
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provider_type: inline::localfs
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config: {}
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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config: {}
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eval:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config: {}
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post_training:
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- provider_id: torchtune
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provider_type: inline::torchtune
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config: {}
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tool_runtime:
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- provider_id: rag-runtime
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provider_type: inline::rag-runtime
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config: {}
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
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sinks: ${env.TELEMETRY_SINKS:console,sqlite}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/llamastack-watsonx/trace_store.db}
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metadata_store: null
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models:
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- metadata: {}
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model_id: meta-llama/llama-3-3-70b-instruct
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provider_id: watsonx
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provider_model_id: meta-llama/llama-3-3-70b-instruct
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model_type: llm
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shields: []
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vector_dbs: []
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datasets: []
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scoring_fns: []
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benchmarks: []
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tool_groups:
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- toolgroup_id: builtin::rag
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provider_id: rag-runtime
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server:
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port: 8321
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90
llama_stack/templates/watsonx/watsonx.py
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llama_stack/templates/watsonx/watsonx.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from pathlib import Path
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from llama_stack.distribution.datatypes import Provider, ToolGroupInput
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from llama_stack.providers.remote.inference.watsonx import WatsonXConfig
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from llama_stack.providers.remote.inference.watsonx.models import MODEL_ENTRIES
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from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": ["remote::watsonx"],
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"vector_io": ["inline::faiss"],
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"safety": ["inline::llama-guard"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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"eval": ["inline::meta-reference"],
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"datasetio": ["remote::huggingface", "inline::localfs"],
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"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
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"tool_runtime": [
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"remote::brave-search",
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"remote::tavily-search",
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"inline::code-interpreter",
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"inline::rag-runtime",
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"remote::model-context-protocol",
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],
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}
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inference_provider = Provider(
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provider_id="watsonx",
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provider_type="remote::watsonx",
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config=WatsonXConfig.sample_run_config(),
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)
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available_models = {
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"watsonx": MODEL_ENTRIES,
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}
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default_tool_groups = [
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ToolGroupInput(
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toolgroup_id="builtin::websearch",
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provider_id="tavily-search",
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),
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ToolGroupInput(
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toolgroup_id="builtin::rag",
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provider_id="rag-runtime",
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),
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ToolGroupInput(
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toolgroup_id="builtin::code_interpreter",
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provider_id="code-interpreter",
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),
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]
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default_models = get_model_registry(available_models)
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return DistributionTemplate(
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name="watsonx",
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distro_type="remote_hosted",
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description="Use WatsonX for running LLM inference",
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container_image=None,
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template_path=Path(__file__).parent / "doc_template.md",
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providers=providers,
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available_models_by_provider=available_models,
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run_configs={
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"run.yaml": RunConfigSettings(
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provider_overrides={
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"inference": [inference_provider],
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},
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default_models=default_models,
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default_tool_groups=default_tool_groups,
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),
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},
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run_config_env_vars={
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"LLAMASTACK_PORT": (
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"5001",
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"Port for the Llama Stack distribution server",
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),
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"WATSONX_API_KEY": (
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"",
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"Watsonx API Key",
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),
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"WATSONX_PROJECT_ID": (
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"",
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"Watsonx Project ID",
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),
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},
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)
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