feat: Add watsonx inference adapter (#1895)

# What does this PR do?
IBM watsonx ai added as the inference [#1741
](https://github.com/meta-llama/llama-stack/issues/1741)

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

---------

Co-authored-by: Sajikumar JS <sajikumar.js@ibm.com>
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Sajikumar JS 2025-04-25 23:59:21 +05:30 committed by GitHub
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"vllm",
"sentence-transformers --no-deps",
"torch torchvision --index-url https://download.pytorch.org/whl/cpu"
],
"watsonx": [
"aiosqlite",
"autoevals",
"blobfile",
"chardet",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"ibm_watson_machine_learning",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn"
]
}

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from .watsonx import get_distribution_template # noqa: F401

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version: '2'
distribution_spec:
description: Use watsonx for running LLM inference
providers:
inference:
- remote::watsonx
vector_io:
- inline::faiss
safety:
- inline::llama-guard
agents:
- inline::meta-reference
telemetry:
- inline::meta-reference
eval:
- inline::meta-reference
datasetio:
- remote::huggingface
- inline::localfs
scoring:
- inline::basic
- inline::llm-as-judge
- inline::braintrust
tool_runtime:
- remote::brave-search
- remote::tavily-search
- inline::code-interpreter
- inline::rag-runtime
- remote::model-context-protocol
image_type: conda

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---
orphan: true
---
# watsonx Distribution
```{toctree}
:maxdepth: 2
:hidden:
self
```
The `llamastack/distribution-{{ name }}` distribution consists of the following provider configurations.
{{ providers_table }}
{% if run_config_env_vars %}
### Environment Variables
The following environment variables can be configured:
{% for var, (default_value, description) in run_config_env_vars.items() %}
- `{{ var }}`: {{ description }} (default: `{{ default_value }}`)
{% endfor %}
{% endif %}
{% if default_models %}
### Models
The following models are available by default:
{% for model in default_models %}
- `{{ model.model_id }} {{ model.doc_string }}`
{% endfor %}
{% endif %}
### Prerequisite: API Keys
Make sure you have access to a watsonx API Key. You can get one by referring [watsonx.ai](https://www.ibm.com/docs/en/masv-and-l/maximo-manage/continuous-delivery?topic=setup-create-watsonx-api-key).
## Running Llama Stack with watsonx
You can do this via Conda (build code), venv or Docker which has a pre-built image.
### Via Docker
This method allows you to get started quickly without having to build the distribution code.
```bash
LLAMA_STACK_PORT=5001
docker run \
-it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ./run.yaml:/root/my-run.yaml \
llamastack/distribution-{{ name }} \
--yaml-config /root/my-run.yaml \
--port $LLAMA_STACK_PORT \
--env WATSONX_API_KEY=$WATSONX_API_KEY \
--env WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID \
--env WATSONX_BASE_URL=$WATSONX_BASE_URL
```
### Via Conda
```bash
llama stack build --template watsonx --image-type conda
llama stack run ./run.yaml \
--port $LLAMA_STACK_PORT \
--env WATSONX_API_KEY=$WATSONX_API_KEY \
--env WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID
```

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version: '2'
image_name: watsonx
apis:
- agents
- datasetio
- eval
- inference
- safety
- scoring
- telemetry
- tool_runtime
- vector_io
providers:
inference:
- provider_id: watsonx
provider_type: remote::watsonx
config:
url: ${env.WATSONX_BASE_URL:https://us-south.ml.cloud.ibm.com}
api_key: ${env.WATSONX_API_KEY:}
project_id: ${env.WATSONX_PROJECT_ID:}
vector_io:
- provider_id: faiss
provider_type: inline::faiss
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/faiss_store.db
safety:
- provider_id: llama-guard
provider_type: inline::llama-guard
config:
excluded_categories: []
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
persistence_store:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/agents_store.db
telemetry:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
service_name: "${env.OTEL_SERVICE_NAME:\u200B}"
sinks: ${env.TELEMETRY_SINKS:console,sqlite}
sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/watsonx/trace_store.db}
eval:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/meta_reference_eval.db
datasetio:
- provider_id: huggingface
provider_type: remote::huggingface
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/huggingface_datasetio.db
- provider_id: localfs
provider_type: inline::localfs
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/localfs_datasetio.db
scoring:
- provider_id: basic
provider_type: inline::basic
config: {}
- provider_id: llm-as-judge
provider_type: inline::llm-as-judge
config: {}
- provider_id: braintrust
provider_type: inline::braintrust
config:
openai_api_key: ${env.OPENAI_API_KEY:}
tool_runtime:
- provider_id: brave-search
provider_type: remote::brave-search
config:
api_key: ${env.BRAVE_SEARCH_API_KEY:}
max_results: 3
- provider_id: tavily-search
provider_type: remote::tavily-search
config:
api_key: ${env.TAVILY_SEARCH_API_KEY:}
max_results: 3
- provider_id: code-interpreter
provider_type: inline::code-interpreter
config: {}
- provider_id: rag-runtime
provider_type: inline::rag-runtime
config: {}
- provider_id: model-context-protocol
provider_type: remote::model-context-protocol
config: {}
metadata_store:
type: sqlite
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/watsonx}/registry.db
models:
- metadata: {}
model_id: meta-llama/llama-3-3-70b-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-3-70b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.3-70B-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-3-70b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-2-13b-chat
provider_id: watsonx
provider_model_id: meta-llama/llama-2-13b-chat
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-2-13b
provider_id: watsonx
provider_model_id: meta-llama/llama-2-13b-chat
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-1-70b-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-1-70b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.1-70B-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-1-70b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-1-8b-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-1-8b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.1-8B-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-1-8b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-2-11b-vision-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-11b-vision-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-11b-vision-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-2-1b-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-1b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.2-1B-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-1b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-2-3b-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-3b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.2-3B-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-3b-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-3-2-90b-vision-instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-90b-vision-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
provider_id: watsonx
provider_model_id: meta-llama/llama-3-2-90b-vision-instruct
model_type: llm
- metadata: {}
model_id: meta-llama/llama-guard-3-11b-vision
provider_id: watsonx
provider_model_id: meta-llama/llama-guard-3-11b-vision
model_type: llm
- metadata: {}
model_id: meta-llama/Llama-Guard-3-11B-Vision
provider_id: watsonx
provider_model_id: meta-llama/llama-guard-3-11b-vision
model_type: llm
shields: []
vector_dbs: []
datasets: []
scoring_fns: []
benchmarks: []
tool_groups:
- toolgroup_id: builtin::websearch
provider_id: tavily-search
- toolgroup_id: builtin::rag
provider_id: rag-runtime
- toolgroup_id: builtin::code_interpreter
provider_id: code-interpreter
server:
port: 8321

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from pathlib import Path
from llama_stack.distribution.datatypes import Provider, ToolGroupInput
from llama_stack.providers.remote.inference.watsonx import WatsonXConfig
from llama_stack.providers.remote.inference.watsonx.models import MODEL_ENTRIES
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
def get_distribution_template() -> DistributionTemplate:
providers = {
"inference": ["remote::watsonx"],
"vector_io": ["inline::faiss"],
"safety": ["inline::llama-guard"],
"agents": ["inline::meta-reference"],
"telemetry": ["inline::meta-reference"],
"eval": ["inline::meta-reference"],
"datasetio": ["remote::huggingface", "inline::localfs"],
"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
"tool_runtime": [
"remote::brave-search",
"remote::tavily-search",
"inline::code-interpreter",
"inline::rag-runtime",
"remote::model-context-protocol",
],
}
inference_provider = Provider(
provider_id="watsonx",
provider_type="remote::watsonx",
config=WatsonXConfig.sample_run_config(),
)
available_models = {
"watsonx": MODEL_ENTRIES,
}
default_tool_groups = [
ToolGroupInput(
toolgroup_id="builtin::websearch",
provider_id="tavily-search",
),
ToolGroupInput(
toolgroup_id="builtin::rag",
provider_id="rag-runtime",
),
ToolGroupInput(
toolgroup_id="builtin::code_interpreter",
provider_id="code-interpreter",
),
]
default_models = get_model_registry(available_models)
return DistributionTemplate(
name="watsonx",
distro_type="remote_hosted",
description="Use watsonx for running LLM inference",
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
available_models_by_provider=available_models,
run_configs={
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": [inference_provider],
},
default_models=default_models,
default_tool_groups=default_tool_groups,
),
},
run_config_env_vars={
"LLAMASTACK_PORT": (
"5001",
"Port for the Llama Stack distribution server",
),
"WATSONX_API_KEY": (
"",
"watsonx API Key",
),
"WATSONX_PROJECT_ID": (
"",
"watsonx Project ID",
),
},
)