feat: Podman AI Lab provider and distribution

Signed-off-by: Jeff MAURY <jmaury@redhat.com>

llama_stack/templates/dependencies.json

@@ -536,6 +536,44 @@
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
+  "podman-ai-lab": [
+    "aiohttp",
+    "aiosqlite",
+    "autoevals",
+    "blobfile",
+    "chardet",
+    "chromadb-client",
+    "datasets",
+    "emoji",
+    "faiss-cpu",
+    "fastapi",
+    "fire",
+    "httpx",
+    "langdetect",
+    "matplotlib",
+    "mcp",
+    "nltk",
+    "numpy",
+    "ollama",
+    "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"
+  ],
   "remote-vllm": [
     "aiosqlite",
     "autoevals",

llama_stack/templates/podman-ai-lab/__init__.py

@@ -0,0 +1,7 @@
+# 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 .podman_ai_lab import get_distribution_template  # noqa: F401

llama_stack/templates/podman-ai-lab/build.yaml

@@ -0,0 +1,33 @@
+version: '2'
+distribution_spec:
+  description: Use (an external) Podman AI Lab server for running LLM inference
+  providers:
+    inference:
+    - remote::podman-ai-lab
+    vector_io:
+    - inline::faiss
+    - remote::chromadb
+    - remote::pgvector
+    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
+    - remote::wolfram-alpha
+image_type: conda

llama_stack/templates/podman-ai-lab/doc_template.md

@@ -0,0 +1,131 @@
+---
+orphan: true
+---
+# Podman AI Lab Distribution
+
+```{toctree}
+:maxdepth: 2
+:hidden:
+
+self
+```
+
+The `llamastack/distribution-{{ name }}` distribution consists of the following provider configurations.
+
+{{ providers_table }}
+
+You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Ollama supports GPU acceleration.
+
+{% 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 %}
+
+
+## Setting up Podman AI Lab server
+
+Please check the [Podman AI Lab Documentation](https://github.com/containers/podman-desktop-extension-ai-lab) on how to install and run Ollama. After installing Ollama, you need to run `ollama serve` to start the server.
+
+
+If you are using Llama Stack Safety / Shield APIs, you will also need to pull and run the safety model.
+
+```bash
+export SAFETY_MODEL="meta-llama/Llama-Guard-3-1B"
+
+# ollama names this model differently, and we must use the ollama name when loading the model
+export PODMAN_AI_LAB_SAFETY_MODEL="llama-guard3:1b"
+```
+
+## Running Llama Stack
+
+Now you are ready to run Llama Stack with Podman AI Lab as the inference provider. You can do this via Conda (build code) 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
+export LLAMA_STACK_PORT=5001
+docker run \
+  -it \
+  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
+  -v ~/.llama:/root/.llama \
+  llamastack/distribution-{{ name }} \
+  --port $LLAMA_STACK_PORT \
+  --env PODMAN_AI_LAB_URL=http://host.docker.internal:10434
+```
+
+If you are using Llama Stack Safety / Shield APIs, use:
+
+```bash
+# You need a local checkout of llama-stack to run this, get it using
+# git clone https://github.com/meta-llama/llama-stack.git
+cd /path/to/llama-stack
+
+docker run \
+  -it \
+  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
+  -v ~/.llama:/root/.llama \
+  -v ./llama_stack/templates/ollama/run-with-safety.yaml:/root/my-run.yaml \
+  llamastack/distribution-{{ name }} \
+  --yaml-config /root/my-run.yaml \
+  --port $LLAMA_STACK_PORT \
+  --env SAFETY_MODEL=$SAFETY_MODEL \
+  --env PODMAN_AI_LAB_URL=http://host.docker.internal:11434
+```
+
+### Via Conda
+
+Make sure you have done `uv pip install llama-stack` and have the Llama Stack CLI available.
+
+```bash
+export LLAMA_STACK_PORT=5001
+
+llama stack build --template {{ name }} --image-type conda
+llama stack run ./run.yaml \
+  --port $LLAMA_STACK_PORT \
+  --env PODMAN_AI_LAB_URL=http://localhost:10434
+```
+
+If you are using Llama Stack Safety / Shield APIs, use:
+
+```bash
+llama stack run ./run-with-safety.yaml \
+  --port $LLAMA_STACK_PORT \
+  --env SAFETY_MODEL=$SAFETY_MODEL \
+  --env PODMAN_AI_LAB_URL=http://localhost:11434
+```
+
+
+### (Optional) Update Model Serving Configuration
+
+To serve a new model with `Podman AI Lab`:
+- launch Podman Desktop with Podman AI Lab extension installed
+- download the model
+- start an inference server for the model
+
+To make sure that the model is being served correctly, run `curl localhost:10434/api/tags` to get a list of models being served by Podman AI Lab.
+```
+$ curl localhost:10434/api/tags
+{"models":[{"model":"hf.ibm-research.granite-3.2-8b-instruct-GGUF","name":"ibm-research/granite-3.2-8b-instruct-GGUF","digest":"363f0bbc3200b9c9b0ab87efe237d77b1e05bb929d5d7e4b57c1447c911223e8","size":4942859552,"modified_at":"2025-03-17T14:48:32.417Z","details":{}}]}
+```
+
+To verify that the model served by Podman AI Lab is correctly connected to Llama Stack server
+```bash
+$ llama-stack-client models list
+
+Available Models
+
+┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
+┃ model_type   ┃ identifier                                     ┃ provider_resource_id                          ┃ metadata  ┃ provider_id    ┃
+┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
+│ llm          │ ibm-research/granite-3.2-8b-instruct-GGUF      │ ibm-research/granite-3.2-8b-instruct-GGUF     │           │ podman-ai-lab  │
+└──────────────┴────────────────────────────────────────────────┴───────────────────────────────────────────────┴───────────┴────────────────┘
+
+Total models: 1
+```

llama_stack/templates/podman-ai-lab/podman_ai_lab.py

@@ -0,0 +1,137 @@
+# 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 (
+    ModelInput,
+    Provider,
+    ShieldInput,
+    ToolGroupInput,
+)
+from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
+from llama_stack.providers.remote.inference.podman_ai_lab import PodmanAILabImplConfig
+from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
+
+
+def get_distribution_template() -> DistributionTemplate:
+    providers = {
+        "inference": ["remote::podman-ai-lab"],
+        "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
+        "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",
+            "remote::wolfram-alpha",
+        ],
+    }
+    name = "podman-ai-lab"
+    inference_provider = Provider(
+        provider_id="podman-ai-lab",
+        provider_type="remote::podman-ai-lab",
+        config=PodmanAILabImplConfig.sample_run_config(),
+    )
+    vector_io_provider_faiss = Provider(
+        provider_id="faiss",
+        provider_type="inline::faiss",
+        config=FaissVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
+    )
+
+    safety_model = ModelInput(
+        model_id="${env.SAFETY_MODEL}",
+        provider_id="ollama",
+    )
+    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",
+        ),
+        ToolGroupInput(
+            toolgroup_id="builtin::wolfram_alpha",
+            provider_id="wolfram-alpha",
+        ),
+    ]
+
+    return DistributionTemplate(
+        name=name,
+        distro_type="self_hosted",
+        description="Use (an external) Podman AI Lab server for running LLM inference",
+        container_image=None,
+        template_path=Path(__file__).parent / "doc_template.md",
+        providers=providers,
+        run_configs={
+            "run.yaml": RunConfigSettings(
+                provider_overrides={
+                    "inference": [inference_provider],
+                    "vector_io": [vector_io_provider_faiss],
+                },
+                default_models=[],
+                default_tool_groups=default_tool_groups,
+            ),
+            "run-with-safety.yaml": RunConfigSettings(
+                provider_overrides={
+                    "inference": [inference_provider],
+                    "vector_io": [vector_io_provider_faiss],
+                    "safety": [
+                        Provider(
+                            provider_id="llama-guard",
+                            provider_type="inline::llama-guard",
+                            config={},
+                        ),
+                        Provider(
+                            provider_id="code-scanner",
+                            provider_type="inline::code-scanner",
+                            config={},
+                        ),
+                    ],
+                },
+                default_models=[
+                    safety_model,
+                ],
+                default_shields=[
+                    ShieldInput(
+                        shield_id="${env.SAFETY_MODEL}",
+                        provider_id="llama-guard",
+                    ),
+                    ShieldInput(
+                        shield_id="CodeScanner",
+                        provider_id="code-scanner",
+                    ),
+                ],
+                default_tool_groups=default_tool_groups,
+            ),
+        },
+        run_config_env_vars={
+            "LLAMA_STACK_PORT": (
+                "5001",
+                "Port for the Llama Stack distribution server",
+            ),
+            "PODMAN_AI_LAB_URL": (
+                "http://127.0.0.1:10434",
+                "URL of the Podman AI Lab server",
+            ),
+            "SAFETY_MODEL": (
+                "meta-llama/Llama-Guard-3-1B",
+                "Safety model loaded into the Ollama server",
+            ),
+        },
+    )

llama_stack/templates/podman-ai-lab/report.md

@@ -0,0 +1,44 @@
+# Report for Podman AI Lab distribution
+
+## Supported Models
+| Model Descriptor | ollama |
+|:---|:---|
+| Llama-3-8B-Instruct | ❌ |
+| Llama-3-70B-Instruct | ❌ |
+| Llama3.1-8B-Instruct | ✅ |
+| Llama3.1-70B-Instruct | ✅ |
+| Llama3.1-405B-Instruct | ✅ |
+| Llama3.2-1B-Instruct | ✅ |
+| Llama3.2-3B-Instruct | ✅ |
+| Llama3.2-11B-Vision-Instruct | ✅ |
+| Llama3.2-90B-Vision-Instruct | ✅ |
+| Llama3.3-70B-Instruct | ✅ |
+| Llama-Guard-3-11B-Vision | ❌ |
+| Llama-Guard-3-1B | ✅ |
+| Llama-Guard-3-8B | ✅ |
+| Llama-Guard-2-8B | ❌ |
+
+## Inference
+| Model | API | Capability | Test | Status |
+|:----- |:-----|:-----|:-----|:-----|
+| Llama-3.1-8B-Instruct | /chat_completion | streaming | test_text_chat_completion_streaming | ✅ |
+| Llama-3.2-11B-Vision-Instruct | /chat_completion | streaming | test_image_chat_completion_streaming | ❌ |
+| Llama-3.2-11B-Vision-Instruct | /chat_completion | non_streaming | test_image_chat_completion_non_streaming | ❌ |
+| Llama-3.1-8B-Instruct | /chat_completion | non_streaming | test_text_chat_completion_non_streaming | ✅ |
+| Llama-3.1-8B-Instruct | /chat_completion | tool_calling | test_text_chat_completion_with_tool_calling_and_streaming | ✅ |
+| Llama-3.1-8B-Instruct | /chat_completion | tool_calling | test_text_chat_completion_with_tool_calling_and_non_streaming | ✅ |
+| Llama-3.1-8B-Instruct | /completion | streaming | test_text_completion_streaming | ✅ |
+| Llama-3.1-8B-Instruct | /completion | non_streaming | test_text_completion_non_streaming | ✅ |
+| Llama-3.1-8B-Instruct | /completion | structured_output | test_text_completion_structured_output | ✅ |
+
+## Vector IO
+| API | Capability | Test | Status |
+|:-----|:-----|:-----|:-----|
+| /retrieve |  | test_vector_db_retrieve | ✅ |
+
+## Agents
+| API | Capability | Test | Status |
+|:-----|:-----|:-----|:-----|
+| /create_agent_turn | rag | test_rag_agent | ✅ |
+| /create_agent_turn | custom_tool | test_custom_tool | ✅ |
+| /create_agent_turn | code_execution | test_code_interpreter_for_attachments | ✅ |

llama_stack/templates/podman-ai-lab/run-with-safety.yaml

@@ -0,0 +1,133 @@
+version: '2'
+image_name: podman-ai-lab
+apis:
+- agents
+- datasetio
+- eval
+- inference
+- safety
+- scoring
+- telemetry
+- tool_runtime
+- vector_io
+providers:
+  inference:
+  - provider_id: podman-ai-lab
+    provider_type: remote::podman-ai-lab
+    config:
+      url: ${env.PODMAN_AI_LAB_URL:http://localhost:10434}
+  vector_io:
+  - provider_id: faiss
+    provider_type: inline::faiss
+    config:
+      kvstore:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/faiss_store.db
+  safety:
+  - provider_id: llama-guard
+    provider_type: inline::llama-guard
+    config: {}
+  - provider_id: code-scanner
+    provider_type: inline::code-scanner
+    config: {}
+  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/podman-ai-lab}/agents_store.db
+  telemetry:
+  - provider_id: meta-reference
+    provider_type: inline::meta-reference
+    config:
+      sinks: ${env.TELEMETRY_SINKS:console,sqlite}
+      sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/podman-ai-lab/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/podman-ai-lab}/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/podman-ai-lab}/huggingface_datasetio.db
+  - provider_id: localfs
+    provider_type: inline::localfs
+    config:
+      kvstore:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/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: {}
+  - provider_id: wolfram-alpha
+    provider_type: remote::wolfram-alpha
+    config:
+      api_key: ${env.WOLFRAM_ALPHA_API_KEY:}
+metadata_store:
+  type: sqlite
+  db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/registry.db
+models:
+- metadata: {}
+  model_id: ${env.SAFETY_MODEL}
+  provider_id: ollama
+  model_type: llm
+shields:
+- shield_id: ${env.SAFETY_MODEL}
+  provider_id: llama-guard
+- shield_id: CodeScanner
+  provider_id: code-scanner
+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
+- toolgroup_id: builtin::wolfram_alpha
+  provider_id: wolfram-alpha
+server:
+  port: 8321

llama_stack/templates/podman-ai-lab/run.yaml

@@ -0,0 +1,123 @@
+version: '2'
+image_name: podman-ai-lab
+apis:
+- agents
+- datasetio
+- eval
+- inference
+- safety
+- scoring
+- telemetry
+- tool_runtime
+- vector_io
+providers:
+  inference:
+  - provider_id: podman-ai-lab
+    provider_type: remote::podman-ai-lab
+    config:
+      url: ${env.PODMAN_AI_LAB_URL:http://localhost:10434}
+  vector_io:
+  - provider_id: faiss
+    provider_type: inline::faiss
+    config:
+      kvstore:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/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/podman-ai-lab}/agents_store.db
+  telemetry:
+  - provider_id: meta-reference
+    provider_type: inline::meta-reference
+    config:
+      sinks: ${env.TELEMETRY_SINKS:console,sqlite}
+      sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/podman-ai-lab/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/podman-ai-lab}/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/podman-ai-lab}/huggingface_datasetio.db
+  - provider_id: localfs
+    provider_type: inline::localfs
+    config:
+      kvstore:
+        type: sqlite
+        namespace: null
+        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/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: {}
+  - provider_id: wolfram-alpha
+    provider_type: remote::wolfram-alpha
+    config:
+      api_key: ${env.WOLFRAM_ALPHA_API_KEY:}
+metadata_store:
+  type: sqlite
+  db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/podman-ai-lab}/registry.db
+models: []
+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
+- toolgroup_id: builtin::wolfram_alpha
+  provider_id: wolfram-alpha
+server:
+  port: 8321