diff --git a/.github/actions/setup-typescript-client/action.yml b/.github/actions/setup-typescript-client/action.yml new file mode 100644 index 000000000..8b78ba70c --- /dev/null +++ b/.github/actions/setup-typescript-client/action.yml @@ -0,0 +1,35 @@ +name: Setup TypeScript client +description: Conditionally checkout and link llama-stack-client-typescript based on client-version +inputs: + client-version: + description: 'Client version (latest or published)' + required: true + +outputs: + ts-client-path: + description: 'Path or version to use for TypeScript client' + value: ${{ steps.set-path.outputs.ts-client-path }} + +runs: + using: "composite" + steps: + - name: Checkout TypeScript client (latest) + if: ${{ inputs.client-version == 'latest' }} + uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 + with: + repository: llamastack/llama-stack-client-typescript + ref: main + path: .ts-client-checkout + + - name: Set TS_CLIENT_PATH + id: set-path + shell: bash + run: | + if [ "${{ inputs.client-version }}" = "latest" ]; then + echo "ts-client-path=${{ github.workspace }}/.ts-client-checkout" >> $GITHUB_OUTPUT + elif [ "${{ inputs.client-version }}" = "published" ]; then + echo "ts-client-path=^0.3.2" >> $GITHUB_OUTPUT + else + echo "::error::Invalid client-version: ${{ inputs.client-version }}" + exit 1 + fi diff --git a/.github/workflows/integration-tests.yml b/.github/workflows/integration-tests.yml index 71c7933b4..8073f6a15 100644 --- a/.github/workflows/integration-tests.yml +++ b/.github/workflows/integration-tests.yml @@ -93,11 +93,27 @@ jobs: suite: ${{ matrix.config.suite }} inference-mode: 'replay' + - name: Setup Node.js for TypeScript client tests + if: ${{ matrix.client == 'server' }} + uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4.1.0 + with: + node-version: '20' + cache: 'npm' + cache-dependency-path: tests/integration/client-typescript/package-lock.json + + - name: Setup TypeScript client + if: ${{ matrix.client == 'server' }} + id: setup-ts-client + uses: ./.github/actions/setup-typescript-client + with: + client-version: ${{ matrix.client-version }} + - name: Run tests if: ${{ matrix.config.allowed_clients == null || contains(matrix.config.allowed_clients, matrix.client) }} uses: ./.github/actions/run-and-record-tests env: OPENAI_API_KEY: dummy + TS_CLIENT_PATH: ${{ steps.setup-ts-client.outputs.ts-client-path || '' }} with: stack-config: >- ${{ matrix.config.stack_config diff --git a/.github/workflows/stainless-builds.yml b/.github/workflows/stainless-builds.yml index 00c5e3df5..a18c70887 100644 --- a/.github/workflows/stainless-builds.yml +++ b/.github/workflows/stainless-builds.yml @@ -59,6 +59,30 @@ jobs: ref: ${{ github.event.pull_request.head.sha }} fetch-depth: 2 + # Compute the Stainless branch name, prefixing with fork owner if PR is from a fork. + # For fork PRs like "contributor:fix/issue-123", this creates "preview/contributor/fix/issue-123" + # For same-repo PRs, this creates "preview/fix/issue-123" + - name: Compute branch names + id: branch-names + run: | + HEAD_REPO="${{ github.event.pull_request.head.repo.full_name }}" + BASE_REPO="${{ github.repository }}" + BRANCH_NAME="${{ github.event.pull_request.head.ref }}" + + if [ "$HEAD_REPO" != "$BASE_REPO" ]; then + # Fork PR: prefix with fork owner for isolation + FORK_OWNER="${{ github.event.pull_request.head.repo.owner.login }}" + PREVIEW_BRANCH="preview/${FORK_OWNER}/${BRANCH_NAME}" + BASE_BRANCH="preview/base/${FORK_OWNER}/${BRANCH_NAME}" + else + # Same-repo PR + PREVIEW_BRANCH="preview/${BRANCH_NAME}" + BASE_BRANCH="preview/base/${BRANCH_NAME}" + fi + + echo "preview_branch=${PREVIEW_BRANCH}" >> $GITHUB_OUTPUT + echo "base_branch=${BASE_BRANCH}" >> $GITHUB_OUTPUT + # This action builds preview SDKs from the OpenAPI spec changes and # posts/updates a comment on the PR with build results and links to the preview. - name: Run preview builds @@ -73,6 +97,8 @@ jobs: base_sha: ${{ github.event.pull_request.base.sha }} base_ref: ${{ github.event.pull_request.base.ref }} head_sha: ${{ github.event.pull_request.head.sha }} + branch: ${{ steps.branch-names.outputs.preview_branch }} + base_branch: ${{ steps.branch-names.outputs.base_branch }} merge: if: github.event.action == 'closed' && github.event.pull_request.merged == true @@ -90,12 +116,33 @@ jobs: ref: ${{ github.event.pull_request.head.sha }} fetch-depth: 2 + # Compute the Stainless branch name, prefixing with fork owner if PR is from a fork. + # For fork PRs like "contributor:fix/issue-123", this creates "preview/contributor/fix/issue-123" + # For same-repo PRs, this creates "preview/fix/issue-123" + - name: Compute branch names + id: branch-names + run: | + HEAD_REPO="${{ github.event.pull_request.head.repo.full_name }}" + BASE_REPO="${{ github.repository }}" + BRANCH_NAME="${{ github.event.pull_request.head.ref }}" + + if [ "$HEAD_REPO" != "$BASE_REPO" ]; then + # Fork PR: prefix with fork owner for isolation + FORK_OWNER="${{ github.event.pull_request.head.repo.owner.login }}" + MERGE_BRANCH="preview/${FORK_OWNER}/${BRANCH_NAME}" + else + # Same-repo PR + MERGE_BRANCH="preview/${BRANCH_NAME}" + fi + + echo "merge_branch=${MERGE_BRANCH}" >> $GITHUB_OUTPUT + # Note that this only merges in changes that happened on the last build on - # preview/${{ github.head_ref }}. It's possible that there are OAS/config - # changes that haven't been built, if the preview-sdk job didn't finish + # the computed preview branch. It's possible that there are OAS/config + # changes that haven't been built, if the preview job didn't finish # before this step starts. In theory we want to wait for all builds - # against preview/${{ github.head_ref }} to complete, but assuming that - # the preview-sdk job happens before the PR merge, it should be fine. + # against the preview branch to complete, but assuming that + # the preview job happens before the PR merge, it should be fine. - name: Run merge build uses: stainless-api/upload-openapi-spec-action/merge@32823b096b4319c53ee948d702d9052873af485f # 1.6.0 with: @@ -108,3 +155,4 @@ jobs: base_sha: ${{ github.event.pull_request.base.sha }} base_ref: ${{ github.event.pull_request.base.ref }} head_sha: ${{ github.event.pull_request.head.sha }} + merge_branch: ${{ steps.branch-names.outputs.merge_branch }} diff --git a/.gitignore b/.gitignore index f5ca450b2..0d8fd5a2f 100644 --- a/.gitignore +++ b/.gitignore @@ -35,3 +35,5 @@ docs/static/imported-files/ docs/docs/api-deprecated/ docs/docs/api-experimental/ docs/docs/api/ +tests/integration/client-typescript/node_modules/ +.ts-client-checkout/ diff --git a/docs/docs/providers/inference/remote_azure.mdx b/docs/docs/providers/inference/remote_azure.mdx index fd22b157e..0382b42d7 100644 --- a/docs/docs/providers/inference/remote_azure.mdx +++ b/docs/docs/providers/inference/remote_azure.mdx @@ -24,7 +24,7 @@ https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `api_base` | `HttpUrl` | No | | Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com) | +| `base_url` | `HttpUrl \| None` | No | | Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com/openai/v1) | | `api_version` | `str \| None` | No | | Azure API version for Azure (e.g., 2024-12-01-preview) | | `api_type` | `str \| None` | No | azure | Azure API type for Azure (e.g., azure) | @@ -32,7 +32,7 @@ https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview ```yaml api_key: ${env.AZURE_API_KEY:=} -api_base: ${env.AZURE_API_BASE:=} +base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} ``` diff --git a/docs/docs/providers/inference/remote_cerebras.mdx b/docs/docs/providers/inference/remote_cerebras.mdx index 1fb9530bb..9fd390a29 100644 --- a/docs/docs/providers/inference/remote_cerebras.mdx +++ b/docs/docs/providers/inference/remote_cerebras.mdx @@ -17,11 +17,11 @@ Cerebras inference provider for running models on Cerebras Cloud platform. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `base_url` | `str` | No | https://api.cerebras.ai | Base URL for the Cerebras API | +| `base_url` | `HttpUrl \| None` | No | https://api.cerebras.ai/v1 | Base URL for the Cerebras API | ## Sample Configuration ```yaml -base_url: https://api.cerebras.ai +base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} ``` diff --git a/docs/docs/providers/inference/remote_databricks.mdx b/docs/docs/providers/inference/remote_databricks.mdx index 7a926baf4..d50c52958 100644 --- a/docs/docs/providers/inference/remote_databricks.mdx +++ b/docs/docs/providers/inference/remote_databricks.mdx @@ -17,11 +17,11 @@ Databricks inference provider for running models on Databricks' unified analytic | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_token` | `SecretStr \| None` | No | | The Databricks API token | -| `url` | `str \| None` | No | | The URL for the Databricks model serving endpoint | +| `base_url` | `HttpUrl \| None` | No | | The URL for the Databricks model serving endpoint (should include /serving-endpoints path) | ## Sample Configuration ```yaml -url: ${env.DATABRICKS_HOST:=} +base_url: ${env.DATABRICKS_HOST:=} api_token: ${env.DATABRICKS_TOKEN:=} ``` diff --git a/docs/docs/providers/inference/remote_fireworks.mdx b/docs/docs/providers/inference/remote_fireworks.mdx index 7db74efc4..a67403a9b 100644 --- a/docs/docs/providers/inference/remote_fireworks.mdx +++ b/docs/docs/providers/inference/remote_fireworks.mdx @@ -17,11 +17,11 @@ Fireworks AI inference provider for Llama models and other AI models on the Fire | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://api.fireworks.ai/inference/v1 | The URL for the Fireworks server | +| `base_url` | `HttpUrl \| None` | No | https://api.fireworks.ai/inference/v1 | The URL for the Fireworks server | ## Sample Configuration ```yaml -url: https://api.fireworks.ai/inference/v1 +base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} ``` diff --git a/docs/docs/providers/inference/remote_groq.mdx b/docs/docs/providers/inference/remote_groq.mdx index 3ebd6f907..17acd3140 100644 --- a/docs/docs/providers/inference/remote_groq.mdx +++ b/docs/docs/providers/inference/remote_groq.mdx @@ -17,11 +17,11 @@ Groq inference provider for ultra-fast inference using Groq's LPU technology. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://api.groq.com | The URL for the Groq AI server | +| `base_url` | `HttpUrl \| None` | No | https://api.groq.com/openai/v1 | The URL for the Groq AI server | ## Sample Configuration ```yaml -url: https://api.groq.com +base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} ``` diff --git a/docs/docs/providers/inference/remote_llama-openai-compat.mdx b/docs/docs/providers/inference/remote_llama-openai-compat.mdx index f67f40909..69e90b2ac 100644 --- a/docs/docs/providers/inference/remote_llama-openai-compat.mdx +++ b/docs/docs/providers/inference/remote_llama-openai-compat.mdx @@ -17,11 +17,11 @@ Llama OpenAI-compatible provider for using Llama models with OpenAI API format. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `openai_compat_api_base` | `str` | No | https://api.llama.com/compat/v1/ | The URL for the Llama API server | +| `base_url` | `HttpUrl \| None` | No | https://api.llama.com/compat/v1/ | The URL for the Llama API server | ## Sample Configuration ```yaml -openai_compat_api_base: https://api.llama.com/compat/v1/ +base_url: https://api.llama.com/compat/v1/ api_key: ${env.LLAMA_API_KEY} ``` diff --git a/docs/docs/providers/inference/remote_nvidia.mdx b/docs/docs/providers/inference/remote_nvidia.mdx index 6646d8b00..a890bc57f 100644 --- a/docs/docs/providers/inference/remote_nvidia.mdx +++ b/docs/docs/providers/inference/remote_nvidia.mdx @@ -17,15 +17,13 @@ NVIDIA inference provider for accessing NVIDIA NIM models and AI services. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://integrate.api.nvidia.com | A base url for accessing the NVIDIA NIM | +| `base_url` | `HttpUrl \| None` | No | https://integrate.api.nvidia.com/v1 | A base url for accessing the NVIDIA NIM | | `timeout` | `int` | No | 60 | Timeout for the HTTP requests | -| `append_api_version` | `bool` | No | True | When set to false, the API version will not be appended to the base_url. By default, it is true. | | `rerank_model_to_url` | `dict[str, str]` | No | `{'nv-rerank-qa-mistral-4b:1': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking', 'nvidia/nv-rerankqa-mistral-4b-v3': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/nv-rerankqa-mistral-4b-v3/reranking', 'nvidia/llama-3.2-nv-rerankqa-1b-v2': 'https://ai.api.nvidia.com/v1/retrieval/nvidia/llama-3_2-nv-rerankqa-1b-v2/reranking'}` | Mapping of rerank model identifiers to their API endpoints. | ## Sample Configuration ```yaml -url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} +base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} -append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} ``` diff --git a/docs/docs/providers/inference/remote_ollama.mdx b/docs/docs/providers/inference/remote_ollama.mdx index 497bfed52..f9be84add 100644 --- a/docs/docs/providers/inference/remote_ollama.mdx +++ b/docs/docs/providers/inference/remote_ollama.mdx @@ -16,10 +16,10 @@ Ollama inference provider for running local models through the Ollama runtime. |-------|------|----------|---------|-------------| | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | -| `url` | `str` | No | http://localhost:11434 | | +| `base_url` | `HttpUrl \| None` | No | http://localhost:11434/v1 | | ## Sample Configuration ```yaml -url: ${env.OLLAMA_URL:=http://localhost:11434} +base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} ``` diff --git a/docs/docs/providers/inference/remote_openai.mdx b/docs/docs/providers/inference/remote_openai.mdx index 4931118fd..3ac3a21ad 100644 --- a/docs/docs/providers/inference/remote_openai.mdx +++ b/docs/docs/providers/inference/remote_openai.mdx @@ -17,7 +17,7 @@ OpenAI inference provider for accessing GPT models and other OpenAI services. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `base_url` | `str` | No | https://api.openai.com/v1 | Base URL for OpenAI API | +| `base_url` | `HttpUrl \| None` | No | https://api.openai.com/v1 | Base URL for OpenAI API | ## Sample Configuration diff --git a/docs/docs/providers/inference/remote_passthrough.mdx b/docs/docs/providers/inference/remote_passthrough.mdx index 009961d49..325ecc352 100644 --- a/docs/docs/providers/inference/remote_passthrough.mdx +++ b/docs/docs/providers/inference/remote_passthrough.mdx @@ -17,11 +17,11 @@ Passthrough inference provider for connecting to any external inference service | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | | The URL for the passthrough endpoint | +| `base_url` | `HttpUrl \| None` | No | | The URL for the passthrough endpoint | ## Sample Configuration ```yaml -url: ${env.PASSTHROUGH_URL} +base_url: ${env.PASSTHROUGH_URL} api_key: ${env.PASSTHROUGH_API_KEY} ``` diff --git a/docs/docs/providers/inference/remote_runpod.mdx b/docs/docs/providers/inference/remote_runpod.mdx index 3b67e157d..6cdcdd3b5 100644 --- a/docs/docs/providers/inference/remote_runpod.mdx +++ b/docs/docs/providers/inference/remote_runpod.mdx @@ -17,11 +17,11 @@ RunPod inference provider for running models on RunPod's cloud GPU platform. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_token` | `SecretStr \| None` | No | | The API token | -| `url` | `str \| None` | No | | The URL for the Runpod model serving endpoint | +| `base_url` | `HttpUrl \| None` | No | | The URL for the Runpod model serving endpoint | ## Sample Configuration ```yaml -url: ${env.RUNPOD_URL:=} +base_url: ${env.RUNPOD_URL:=} api_token: ${env.RUNPOD_API_TOKEN} ``` diff --git a/docs/docs/providers/inference/remote_sambanova.mdx b/docs/docs/providers/inference/remote_sambanova.mdx index 6f4c5d7f6..bbefdb0f0 100644 --- a/docs/docs/providers/inference/remote_sambanova.mdx +++ b/docs/docs/providers/inference/remote_sambanova.mdx @@ -17,11 +17,11 @@ SambaNova inference provider for running models on SambaNova's dataflow architec | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server | +| `base_url` | `HttpUrl \| None` | No | https://api.sambanova.ai/v1 | The URL for the SambaNova AI server | ## Sample Configuration ```yaml -url: https://api.sambanova.ai/v1 +base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} ``` diff --git a/docs/docs/providers/inference/remote_tgi.mdx b/docs/docs/providers/inference/remote_tgi.mdx index cd5ea7661..3790acdd4 100644 --- a/docs/docs/providers/inference/remote_tgi.mdx +++ b/docs/docs/providers/inference/remote_tgi.mdx @@ -16,10 +16,10 @@ Text Generation Inference (TGI) provider for HuggingFace model serving. |-------|------|----------|---------|-------------| | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | -| `url` | `str` | No | | The URL for the TGI serving endpoint | +| `base_url` | `HttpUrl \| None` | No | | The URL for the TGI serving endpoint (should include /v1 path) | ## Sample Configuration ```yaml -url: ${env.TGI_URL:=} +base_url: ${env.TGI_URL:=} ``` diff --git a/docs/docs/providers/inference/remote_together.mdx b/docs/docs/providers/inference/remote_together.mdx index 43192cc9e..dc025b5ac 100644 --- a/docs/docs/providers/inference/remote_together.mdx +++ b/docs/docs/providers/inference/remote_together.mdx @@ -17,11 +17,11 @@ Together AI inference provider for open-source models and collaborative AI devel | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://api.together.xyz/v1 | The URL for the Together AI server | +| `base_url` | `HttpUrl \| None` | No | https://api.together.xyz/v1 | The URL for the Together AI server | ## Sample Configuration ```yaml -url: https://api.together.xyz/v1 +base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} ``` diff --git a/docs/docs/providers/inference/remote_vllm.mdx b/docs/docs/providers/inference/remote_vllm.mdx index 81620dbca..a52c24adb 100644 --- a/docs/docs/providers/inference/remote_vllm.mdx +++ b/docs/docs/providers/inference/remote_vllm.mdx @@ -17,14 +17,14 @@ Remote vLLM inference provider for connecting to vLLM servers. | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_token` | `SecretStr \| None` | No | | The API token | -| `url` | `str \| None` | No | | The URL for the vLLM model serving endpoint | +| `base_url` | `HttpUrl \| None` | No | | The URL for the vLLM model serving endpoint | | `max_tokens` | `int` | No | 4096 | Maximum number of tokens to generate. | | `tls_verify` | `bool \| str` | No | True | Whether to verify TLS certificates. Can be a boolean or a path to a CA certificate file. | ## Sample Configuration ```yaml -url: ${env.VLLM_URL:=} +base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} diff --git a/docs/docs/providers/inference/remote_watsonx.mdx b/docs/docs/providers/inference/remote_watsonx.mdx index 3a1dba3b4..47d543e3a 100644 --- a/docs/docs/providers/inference/remote_watsonx.mdx +++ b/docs/docs/providers/inference/remote_watsonx.mdx @@ -17,14 +17,14 @@ IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform | `allowed_models` | `list[str] \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. | | `refresh_models` | `bool` | No | False | Whether to refresh models periodically from the provider | | `api_key` | `SecretStr \| None` | No | | Authentication credential for the provider | -| `url` | `str` | No | https://us-south.ml.cloud.ibm.com | A base url for accessing the watsonx.ai | +| `base_url` | `HttpUrl \| None` | No | https://us-south.ml.cloud.ibm.com | A base url for accessing the watsonx.ai | | `project_id` | `str \| None` | No | | The watsonx.ai project ID | | `timeout` | `int` | No | 60 | Timeout for the HTTP requests | ## Sample Configuration ```yaml -url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com} +base_url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com} api_key: ${env.WATSONX_API_KEY:=} project_id: ${env.WATSONX_PROJECT_ID:=} ``` diff --git a/scripts/docker.sh b/scripts/docker.sh index b56df8c03..3b2db5ca7 100755 --- a/scripts/docker.sh +++ b/scripts/docker.sh @@ -287,9 +287,9 @@ start_container() { # On macOS/Windows, use host.docker.internal to reach host from container # On Linux with --network host, use localhost if [[ "$(uname)" == "Darwin" ]] || [[ "$(uname)" == *"MINGW"* ]]; then - OLLAMA_URL="${OLLAMA_URL:-http://host.docker.internal:11434}" + OLLAMA_URL="${OLLAMA_URL:-http://host.docker.internal:11434/v1}" else - OLLAMA_URL="${OLLAMA_URL:-http://localhost:11434}" + OLLAMA_URL="${OLLAMA_URL:-http://localhost:11434/v1}" fi DOCKER_ENV_VARS="$DOCKER_ENV_VARS -e OLLAMA_URL=$OLLAMA_URL" diff --git a/scripts/get_setup_env.py b/scripts/get_setup_env.py index fad601e76..755cfefea 100755 --- a/scripts/get_setup_env.py +++ b/scripts/get_setup_env.py @@ -16,16 +16,16 @@ import sys from tests.integration.suites import SETUP_DEFINITIONS, SUITE_DEFINITIONS -def get_setup_env_vars(setup_name, suite_name=None): +def get_setup_config(setup_name, suite_name=None): """ - Get environment variables for a setup, with optional suite default fallback. + Get full configuration (env vars + defaults) for a setup. Args: setup_name: Name of the setup (e.g., 'ollama', 'gpt') suite_name: Optional suite name to get default setup if setup_name is None Returns: - Dictionary of environment variables + Dictionary with 'env' and 'defaults' keys """ # If no setup specified, try to get default from suite if not setup_name and suite_name: @@ -34,7 +34,7 @@ def get_setup_env_vars(setup_name, suite_name=None): setup_name = suite.default_setup if not setup_name: - return {} + return {"env": {}, "defaults": {}} setup = SETUP_DEFINITIONS.get(setup_name) if not setup: @@ -44,27 +44,31 @@ def get_setup_env_vars(setup_name, suite_name=None): ) sys.exit(1) - return setup.env + return {"env": setup.env, "defaults": setup.defaults} def main(): - parser = argparse.ArgumentParser(description="Extract environment variables from a test setup") + parser = argparse.ArgumentParser(description="Extract environment variables and defaults from a test setup") parser.add_argument("--setup", help="Setup name (e.g., ollama, gpt)") parser.add_argument("--suite", help="Suite name to get default setup from if --setup not provided") parser.add_argument("--format", choices=["bash", "json"], default="bash", help="Output format (default: bash)") args = parser.parse_args() - env_vars = get_setup_env_vars(args.setup, args.suite) + config = get_setup_config(args.setup, args.suite) if args.format == "bash": - # Output as bash export statements - for key, value in env_vars.items(): + # Output env vars as bash export statements + for key, value in config["env"].items(): print(f"export {key}='{value}'") + # Output defaults as bash export statements with LLAMA_STACK_TEST_ prefix + for key, value in config["defaults"].items(): + env_key = f"LLAMA_STACK_TEST_{key.upper()}" + print(f"export {env_key}='{value}'") elif args.format == "json": import json - print(json.dumps(env_vars)) + print(json.dumps(config)) if __name__ == "__main__": diff --git a/scripts/install.sh b/scripts/install.sh index 5e4939767..7fe1d3243 100755 --- a/scripts/install.sh +++ b/scripts/install.sh @@ -640,7 +640,7 @@ cmd=( run -d "${PLATFORM_OPTS[@]}" --name llama-stack \ --network llama-net \ -p "${PORT}:${PORT}" \ "${server_env_opts[@]}" \ - -e OLLAMA_URL="http://ollama-server:${OLLAMA_PORT}" \ + -e OLLAMA_URL="http://ollama-server:${OLLAMA_PORT}/v1" \ "${SERVER_IMAGE}" --port "${PORT}") log "🦙 Starting Llama Stack..." diff --git a/scripts/integration-tests.sh b/scripts/integration-tests.sh index 8b0002125..20ecd0c4d 100755 --- a/scripts/integration-tests.sh +++ b/scripts/integration-tests.sh @@ -181,6 +181,10 @@ echo "$SETUP_ENV" eval "$SETUP_ENV" echo "" +# Export suite and setup names for TypeScript tests +export LLAMA_STACK_TEST_SUITE="$TEST_SUITE" +export LLAMA_STACK_TEST_SETUP="$TEST_SETUP" + ROOT_DIR="$THIS_DIR/.." cd $ROOT_DIR @@ -212,6 +216,71 @@ find_available_port() { return 1 } +run_client_ts_tests() { + if ! command -v npm &>/dev/null; then + echo "npm could not be found; ensure Node.js is installed" + return 1 + fi + + pushd tests/integration/client-typescript >/dev/null + + # Determine if TS_CLIENT_PATH is a directory path or an npm version + if [[ -d "$TS_CLIENT_PATH" ]]; then + # It's a directory path - use local checkout + if [[ ! -f "$TS_CLIENT_PATH/package.json" ]]; then + echo "Error: $TS_CLIENT_PATH exists but doesn't look like llama-stack-client-typescript (no package.json)" + popd >/dev/null + return 1 + fi + echo "Using local llama-stack-client-typescript from: $TS_CLIENT_PATH" + + # Build the TypeScript client first + echo "Building TypeScript client..." + pushd "$TS_CLIENT_PATH" >/dev/null + npm install --silent + npm run build --silent + popd >/dev/null + + # Install other dependencies first + if [[ "${CI:-}" == "true" || "${CI:-}" == "1" ]]; then + npm ci --silent + else + npm install --silent + fi + + # Then install the client from local directory + echo "Installing llama-stack-client from: $TS_CLIENT_PATH" + npm install "$TS_CLIENT_PATH" --silent + else + # It's an npm version specifier - install from npm + echo "Installing llama-stack-client@${TS_CLIENT_PATH} from npm" + if [[ "${CI:-}" == "true" || "${CI:-}" == "1" ]]; then + npm ci --silent + npm install "llama-stack-client@${TS_CLIENT_PATH}" --silent + else + npm install "llama-stack-client@${TS_CLIENT_PATH}" --silent + fi + fi + + # Verify installation + echo "Verifying llama-stack-client installation..." + if npm list llama-stack-client 2>/dev/null | grep -q llama-stack-client; then + echo "✅ llama-stack-client successfully installed" + npm list llama-stack-client + else + echo "❌ llama-stack-client not found in node_modules" + echo "Installed packages:" + npm list --depth=0 + popd >/dev/null + return 1 + fi + + echo "Running TypeScript tests for suite $TEST_SUITE (setup $TEST_SETUP)" + npm test + + popd >/dev/null +} + # Start Llama Stack Server if needed if [[ "$STACK_CONFIG" == *"server:"* && "$COLLECT_ONLY" == false ]]; then # Find an available port for the server @@ -221,6 +290,7 @@ if [[ "$STACK_CONFIG" == *"server:"* && "$COLLECT_ONLY" == false ]]; then exit 1 fi export LLAMA_STACK_PORT + export TEST_API_BASE_URL="http://localhost:$LLAMA_STACK_PORT" echo "Will use port: $LLAMA_STACK_PORT" stop_server() { @@ -298,6 +368,7 @@ if [[ "$STACK_CONFIG" == *"docker:"* && "$COLLECT_ONLY" == false ]]; then exit 1 fi export LLAMA_STACK_PORT + export TEST_API_BASE_URL="http://localhost:$LLAMA_STACK_PORT" echo "Will use port: $LLAMA_STACK_PORT" echo "=== Building Docker Image for distribution: $DISTRO ===" @@ -506,5 +577,10 @@ else exit 1 fi +# Run TypeScript client tests if TS_CLIENT_PATH is set +if [[ $exit_code -eq 0 && -n "${TS_CLIENT_PATH:-}" && "${LLAMA_STACK_TEST_STACK_CONFIG_TYPE:-}" == "server" ]]; then + run_client_ts_tests +fi + echo "" echo "=== Integration Tests Complete ===" diff --git a/src/llama_stack/distributions/ci-tests/run-with-postgres-store.yaml b/src/llama_stack/distributions/ci-tests/run-with-postgres-store.yaml index 5384b58fe..d942c23a4 100644 --- a/src/llama_stack/distributions/ci-tests/run-with-postgres-store.yaml +++ b/src/llama_stack/distributions/ci-tests/run-with-postgres-store.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/ci-tests/run.yaml b/src/llama_stack/distributions/ci-tests/run.yaml index 1118d2ad1..8b1cd2bb2 100644 --- a/src/llama_stack/distributions/ci-tests/run.yaml +++ b/src/llama_stack/distributions/ci-tests/run.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/nvidia/run-with-safety.yaml b/src/llama_stack/distributions/nvidia/run-with-safety.yaml index 1d57ad17a..d2c7dd090 100644 --- a/src/llama_stack/distributions/nvidia/run-with-safety.yaml +++ b/src/llama_stack/distributions/nvidia/run-with-safety.yaml @@ -16,9 +16,8 @@ providers: - provider_id: nvidia provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: nvidia provider_type: remote::nvidia config: diff --git a/src/llama_stack/distributions/nvidia/run.yaml b/src/llama_stack/distributions/nvidia/run.yaml index 8c50b8bfb..c267587c7 100644 --- a/src/llama_stack/distributions/nvidia/run.yaml +++ b/src/llama_stack/distributions/nvidia/run.yaml @@ -16,9 +16,8 @@ providers: - provider_id: nvidia provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} vector_io: - provider_id: faiss provider_type: inline::faiss diff --git a/src/llama_stack/distributions/open-benchmark/run.yaml b/src/llama_stack/distributions/open-benchmark/run.yaml index 912e48dd3..7ebc58841 100644 --- a/src/llama_stack/distributions/open-benchmark/run.yaml +++ b/src/llama_stack/distributions/open-benchmark/run.yaml @@ -27,12 +27,12 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} vector_io: - provider_id: sqlite-vec diff --git a/src/llama_stack/distributions/postgres-demo/run.yaml b/src/llama_stack/distributions/postgres-demo/run.yaml index dd1c2bc7f..049f519cd 100644 --- a/src/llama_stack/distributions/postgres-demo/run.yaml +++ b/src/llama_stack/distributions/postgres-demo/run.yaml @@ -11,7 +11,7 @@ providers: - provider_id: vllm-inference provider_type: remote::vllm config: - url: ${env.VLLM_URL:=http://localhost:8000/v1} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} diff --git a/src/llama_stack/distributions/starter-gpu/run-with-postgres-store.yaml b/src/llama_stack/distributions/starter-gpu/run-with-postgres-store.yaml index e29ada6f4..75cc9d188 100644 --- a/src/llama_stack/distributions/starter-gpu/run-with-postgres-store.yaml +++ b/src/llama_stack/distributions/starter-gpu/run-with-postgres-store.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/starter-gpu/run.yaml b/src/llama_stack/distributions/starter-gpu/run.yaml index 7149b8659..09c7be5a1 100644 --- a/src/llama_stack/distributions/starter-gpu/run.yaml +++ b/src/llama_stack/distributions/starter-gpu/run.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/starter/run-with-postgres-store.yaml b/src/llama_stack/distributions/starter/run-with-postgres-store.yaml index 437674bf9..f59c809d2 100644 --- a/src/llama_stack/distributions/starter/run-with-postgres-store.yaml +++ b/src/llama_stack/distributions/starter/run-with-postgres-store.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/starter/run.yaml b/src/llama_stack/distributions/starter/run.yaml index 0ce392810..435bb22a7 100644 --- a/src/llama_stack/distributions/starter/run.yaml +++ b/src/llama_stack/distributions/starter/run.yaml @@ -17,32 +17,32 @@ providers: - provider_id: ${env.CEREBRAS_API_KEY:+cerebras} provider_type: remote::cerebras config: - base_url: https://api.cerebras.ai + base_url: https://api.cerebras.ai/v1 api_key: ${env.CEREBRAS_API_KEY:=} - provider_id: ${env.OLLAMA_URL:+ollama} provider_type: remote::ollama config: - url: ${env.OLLAMA_URL:=http://localhost:11434} + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} - provider_id: ${env.VLLM_URL:+vllm} provider_type: remote::vllm config: - url: ${env.VLLM_URL:=} + base_url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true} - provider_id: ${env.TGI_URL:+tgi} provider_type: remote::tgi config: - url: ${env.TGI_URL:=} + base_url: ${env.TGI_URL:=} - provider_id: fireworks provider_type: remote::fireworks config: - url: https://api.fireworks.ai/inference/v1 + base_url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=} - provider_id: together provider_type: remote::together config: - url: https://api.together.xyz/v1 + base_url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=} - provider_id: bedrock provider_type: remote::bedrock @@ -52,9 +52,8 @@ providers: - provider_id: ${env.NVIDIA_API_KEY:+nvidia} provider_type: remote::nvidia config: - url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} + base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1} api_key: ${env.NVIDIA_API_KEY:=} - append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True} - provider_id: openai provider_type: remote::openai config: @@ -76,18 +75,18 @@ providers: - provider_id: groq provider_type: remote::groq config: - url: https://api.groq.com + base_url: https://api.groq.com/openai/v1 api_key: ${env.GROQ_API_KEY:=} - provider_id: sambanova provider_type: remote::sambanova config: - url: https://api.sambanova.ai/v1 + base_url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=} - provider_id: ${env.AZURE_API_KEY:+azure} provider_type: remote::azure config: api_key: ${env.AZURE_API_KEY:=} - api_base: ${env.AZURE_API_BASE:=} + base_url: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=} - provider_id: sentence-transformers diff --git a/src/llama_stack/distributions/watsonx/run.yaml b/src/llama_stack/distributions/watsonx/run.yaml index 8456115d2..f8c489fe3 100644 --- a/src/llama_stack/distributions/watsonx/run.yaml +++ b/src/llama_stack/distributions/watsonx/run.yaml @@ -15,7 +15,7 @@ providers: - provider_id: watsonx provider_type: remote::watsonx config: - url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com} + base_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: diff --git a/src/llama_stack/providers/inline/agents/meta_reference/__init__.py b/src/llama_stack/providers/inline/agents/meta_reference/__init__.py index 91287617a..b3fb814e3 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/__init__.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/__init__.py @@ -23,7 +23,7 @@ async def get_provider_impl( config, deps[Api.inference], deps[Api.vector_io], - deps[Api.safety], + deps.get(Api.safety), deps[Api.tool_runtime], deps[Api.tool_groups], deps[Api.conversations], diff --git a/src/llama_stack/providers/inline/agents/meta_reference/agents.py b/src/llama_stack/providers/inline/agents/meta_reference/agents.py index ba83a9576..2d5aa6c04 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/agents.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/agents.py @@ -41,7 +41,7 @@ class MetaReferenceAgentsImpl(Agents): config: MetaReferenceAgentsImplConfig, inference_api: Inference, vector_io_api: VectorIO, - safety_api: Safety, + safety_api: Safety | None, tool_runtime_api: ToolRuntime, tool_groups_api: ToolGroups, conversations_api: Conversations, diff --git a/src/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py b/src/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py index 7e080a675..11bfb1417 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py @@ -67,7 +67,7 @@ class OpenAIResponsesImpl: tool_runtime_api: ToolRuntime, responses_store: ResponsesStore, vector_io_api: VectorIO, # VectorIO - safety_api: Safety, + safety_api: Safety | None, conversations_api: Conversations, ): self.inference_api = inference_api @@ -273,6 +273,14 @@ class OpenAIResponsesImpl: guardrail_ids = extract_guardrail_ids(guardrails) if guardrails else [] + # Validate that Safety API is available if guardrails are requested + if guardrail_ids and self.safety_api is None: + raise ValueError( + "Cannot process guardrails: Safety API is not configured.\n\n" + "To use guardrails, ensure the Safety API is configured in your stack, or remove " + "the 'guardrails' parameter from your request." + ) + if conversation is not None: if previous_response_id is not None: raise ValueError( diff --git a/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py b/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py index cdbd87244..0ef74f1f1 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -66,6 +66,7 @@ from llama_stack_api import ( OpenAIResponseUsage, OpenAIResponseUsageInputTokensDetails, OpenAIResponseUsageOutputTokensDetails, + Safety, WebSearchToolTypes, ) @@ -111,7 +112,7 @@ class StreamingResponseOrchestrator: max_infer_iters: int, tool_executor, # Will be the tool execution logic from the main class instructions: str | None, - safety_api, + safety_api: Safety | None, guardrail_ids: list[str] | None = None, prompt: OpenAIResponsePrompt | None = None, parallel_tool_calls: bool | None = None, diff --git a/src/llama_stack/providers/inline/agents/meta_reference/responses/utils.py b/src/llama_stack/providers/inline/agents/meta_reference/responses/utils.py index 943bbae41..25460bcfe 100644 --- a/src/llama_stack/providers/inline/agents/meta_reference/responses/utils.py +++ b/src/llama_stack/providers/inline/agents/meta_reference/responses/utils.py @@ -320,11 +320,15 @@ def is_function_tool_call( return False -async def run_guardrails(safety_api: Safety, messages: str, guardrail_ids: list[str]) -> str | None: +async def run_guardrails(safety_api: Safety | None, messages: str, guardrail_ids: list[str]) -> str | None: """Run guardrails against messages and return violation message if blocked.""" if not messages: return None + # If safety API is not available, skip guardrails + if safety_api is None: + return None + # Look up shields to get their provider_resource_id (actual model ID) model_ids = [] # TODO: list_shields not in Safety interface but available at runtime via API routing diff --git a/src/llama_stack/providers/registry/agents.py b/src/llama_stack/providers/registry/agents.py index 2c68750a6..e85be99d6 100644 --- a/src/llama_stack/providers/registry/agents.py +++ b/src/llama_stack/providers/registry/agents.py @@ -30,12 +30,14 @@ def available_providers() -> list[ProviderSpec]: config_class="llama_stack.providers.inline.agents.meta_reference.MetaReferenceAgentsImplConfig", api_dependencies=[ Api.inference, - Api.safety, Api.vector_io, Api.tool_runtime, Api.tool_groups, Api.conversations, ], + optional_api_dependencies=[ + Api.safety, + ], description="Meta's reference implementation of an agent system that can use tools, access vector databases, and perform complex reasoning tasks.", ), ] diff --git a/src/llama_stack/providers/remote/inference/azure/azure.py b/src/llama_stack/providers/remote/inference/azure/azure.py index 134d01b15..c977d75d5 100644 --- a/src/llama_stack/providers/remote/inference/azure/azure.py +++ b/src/llama_stack/providers/remote/inference/azure/azure.py @@ -4,8 +4,6 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. -from urllib.parse import urljoin - from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin from .config import AzureConfig @@ -22,4 +20,4 @@ class AzureInferenceAdapter(OpenAIMixin): Returns the Azure API base URL from the configuration. """ - return urljoin(str(self.config.api_base), "/openai/v1") + return str(self.config.base_url) diff --git a/src/llama_stack/providers/remote/inference/azure/config.py b/src/llama_stack/providers/remote/inference/azure/config.py index b801b91b2..f6407a183 100644 --- a/src/llama_stack/providers/remote/inference/azure/config.py +++ b/src/llama_stack/providers/remote/inference/azure/config.py @@ -32,8 +32,9 @@ class AzureProviderDataValidator(BaseModel): @json_schema_type class AzureConfig(RemoteInferenceProviderConfig): - api_base: HttpUrl = Field( - description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)", + base_url: HttpUrl | None = Field( + default=None, + description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com/openai/v1)", ) api_version: str | None = Field( default_factory=lambda: os.getenv("AZURE_API_VERSION"), @@ -48,14 +49,14 @@ class AzureConfig(RemoteInferenceProviderConfig): def sample_run_config( cls, api_key: str = "${env.AZURE_API_KEY:=}", - api_base: str = "${env.AZURE_API_BASE:=}", + base_url: str = "${env.AZURE_API_BASE:=}", api_version: str = "${env.AZURE_API_VERSION:=}", api_type: str = "${env.AZURE_API_TYPE:=}", **kwargs, ) -> dict[str, Any]: return { "api_key": api_key, - "api_base": api_base, + "base_url": base_url, "api_version": api_version, "api_type": api_type, } diff --git a/src/llama_stack/providers/remote/inference/cerebras/cerebras.py b/src/llama_stack/providers/remote/inference/cerebras/cerebras.py index 680431e22..23c27df1e 100644 --- a/src/llama_stack/providers/remote/inference/cerebras/cerebras.py +++ b/src/llama_stack/providers/remote/inference/cerebras/cerebras.py @@ -4,8 +4,6 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. -from urllib.parse import urljoin - from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin from llama_stack_api import ( OpenAIEmbeddingsRequestWithExtraBody, @@ -21,7 +19,7 @@ class CerebrasInferenceAdapter(OpenAIMixin): provider_data_api_key_field: str = "cerebras_api_key" def get_base_url(self) -> str: - return urljoin(self.config.base_url, "v1") + return str(self.config.base_url) async def openai_embeddings( self, diff --git a/src/llama_stack/providers/remote/inference/cerebras/config.py b/src/llama_stack/providers/remote/inference/cerebras/config.py index db357fd1c..ea88abbea 100644 --- a/src/llama_stack/providers/remote/inference/cerebras/config.py +++ b/src/llama_stack/providers/remote/inference/cerebras/config.py @@ -7,12 +7,12 @@ import os from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type -DEFAULT_BASE_URL = "https://api.cerebras.ai" +DEFAULT_BASE_URL = "https://api.cerebras.ai/v1" class CerebrasProviderDataValidator(BaseModel): @@ -24,8 +24,8 @@ class CerebrasProviderDataValidator(BaseModel): @json_schema_type class CerebrasImplConfig(RemoteInferenceProviderConfig): - base_url: str = Field( - default=os.environ.get("CEREBRAS_BASE_URL", DEFAULT_BASE_URL), + base_url: HttpUrl | None = Field( + default=HttpUrl(os.environ.get("CEREBRAS_BASE_URL", DEFAULT_BASE_URL)), description="Base URL for the Cerebras API", ) diff --git a/src/llama_stack/providers/remote/inference/databricks/config.py b/src/llama_stack/providers/remote/inference/databricks/config.py index bd409fa13..44cb862f9 100644 --- a/src/llama_stack/providers/remote/inference/databricks/config.py +++ b/src/llama_stack/providers/remote/inference/databricks/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field, SecretStr +from pydantic import BaseModel, Field, HttpUrl, SecretStr from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,9 +21,9 @@ class DatabricksProviderDataValidator(BaseModel): @json_schema_type class DatabricksImplConfig(RemoteInferenceProviderConfig): - url: str | None = Field( + base_url: HttpUrl | None = Field( default=None, - description="The URL for the Databricks model serving endpoint", + description="The URL for the Databricks model serving endpoint (should include /serving-endpoints path)", ) auth_credential: SecretStr | None = Field( default=None, @@ -34,11 +34,11 @@ class DatabricksImplConfig(RemoteInferenceProviderConfig): @classmethod def sample_run_config( cls, - url: str = "${env.DATABRICKS_HOST:=}", + base_url: str = "${env.DATABRICKS_HOST:=}", api_token: str = "${env.DATABRICKS_TOKEN:=}", **kwargs: Any, ) -> dict[str, Any]: return { - "url": url, + "base_url": base_url, "api_token": api_token, } diff --git a/src/llama_stack/providers/remote/inference/databricks/databricks.py b/src/llama_stack/providers/remote/inference/databricks/databricks.py index c07d97b67..f2f8832f6 100644 --- a/src/llama_stack/providers/remote/inference/databricks/databricks.py +++ b/src/llama_stack/providers/remote/inference/databricks/databricks.py @@ -29,15 +29,21 @@ class DatabricksInferenceAdapter(OpenAIMixin): } def get_base_url(self) -> str: - return f"{self.config.url}/serving-endpoints" + return str(self.config.base_url) async def list_provider_model_ids(self) -> Iterable[str]: # Filter out None values from endpoint names api_token = self._get_api_key_from_config_or_provider_data() + # WorkspaceClient expects base host without /serving-endpoints suffix + base_url_str = str(self.config.base_url) + if base_url_str.endswith("/serving-endpoints"): + host = base_url_str[:-18] # Remove '/serving-endpoints' + else: + host = base_url_str return [ endpoint.name # type: ignore[misc] for endpoint in WorkspaceClient( - host=self.config.url, token=api_token + host=host, token=api_token ).serving_endpoints.list() # TODO: this is not async ] diff --git a/src/llama_stack/providers/remote/inference/fireworks/config.py b/src/llama_stack/providers/remote/inference/fireworks/config.py index e36c76054..c59b5f270 100644 --- a/src/llama_stack/providers/remote/inference/fireworks/config.py +++ b/src/llama_stack/providers/remote/inference/fireworks/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import Field +from pydantic import Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -14,14 +14,14 @@ from llama_stack_api import json_schema_type @json_schema_type class FireworksImplConfig(RemoteInferenceProviderConfig): - url: str = Field( - default="https://api.fireworks.ai/inference/v1", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.fireworks.ai/inference/v1"), description="The URL for the Fireworks server", ) @classmethod def sample_run_config(cls, api_key: str = "${env.FIREWORKS_API_KEY:=}", **kwargs) -> dict[str, Any]: return { - "url": "https://api.fireworks.ai/inference/v1", + "base_url": "https://api.fireworks.ai/inference/v1", "api_key": api_key, } diff --git a/src/llama_stack/providers/remote/inference/fireworks/fireworks.py b/src/llama_stack/providers/remote/inference/fireworks/fireworks.py index 7e2b73546..61ea0b1f6 100644 --- a/src/llama_stack/providers/remote/inference/fireworks/fireworks.py +++ b/src/llama_stack/providers/remote/inference/fireworks/fireworks.py @@ -24,4 +24,4 @@ class FireworksInferenceAdapter(OpenAIMixin): provider_data_api_key_field: str = "fireworks_api_key" def get_base_url(self) -> str: - return "https://api.fireworks.ai/inference/v1" + return str(self.config.base_url) diff --git a/src/llama_stack/providers/remote/inference/groq/config.py b/src/llama_stack/providers/remote/inference/groq/config.py index cca53a4e8..e5c29c271 100644 --- a/src/llama_stack/providers/remote/inference/groq/config.py +++ b/src/llama_stack/providers/remote/inference/groq/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,14 +21,14 @@ class GroqProviderDataValidator(BaseModel): @json_schema_type class GroqConfig(RemoteInferenceProviderConfig): - url: str = Field( - default="https://api.groq.com", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.groq.com/openai/v1"), description="The URL for the Groq AI server", ) @classmethod def sample_run_config(cls, api_key: str = "${env.GROQ_API_KEY:=}", **kwargs) -> dict[str, Any]: return { - "url": "https://api.groq.com", + "base_url": "https://api.groq.com/openai/v1", "api_key": api_key, } diff --git a/src/llama_stack/providers/remote/inference/groq/groq.py b/src/llama_stack/providers/remote/inference/groq/groq.py index 3a4f2626d..f99de91ca 100644 --- a/src/llama_stack/providers/remote/inference/groq/groq.py +++ b/src/llama_stack/providers/remote/inference/groq/groq.py @@ -15,4 +15,4 @@ class GroqInferenceAdapter(OpenAIMixin): provider_data_api_key_field: str = "groq_api_key" def get_base_url(self) -> str: - return f"{self.config.url}/openai/v1" + return str(self.config.base_url) diff --git a/src/llama_stack/providers/remote/inference/llama_openai_compat/config.py b/src/llama_stack/providers/remote/inference/llama_openai_compat/config.py index ded210d89..a0f80d969 100644 --- a/src/llama_stack/providers/remote/inference/llama_openai_compat/config.py +++ b/src/llama_stack/providers/remote/inference/llama_openai_compat/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,14 +21,14 @@ class LlamaProviderDataValidator(BaseModel): @json_schema_type class LlamaCompatConfig(RemoteInferenceProviderConfig): - openai_compat_api_base: str = Field( - default="https://api.llama.com/compat/v1/", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.llama.com/compat/v1/"), description="The URL for the Llama API server", ) @classmethod def sample_run_config(cls, api_key: str = "${env.LLAMA_API_KEY}", **kwargs) -> dict[str, Any]: return { - "openai_compat_api_base": "https://api.llama.com/compat/v1/", + "base_url": "https://api.llama.com/compat/v1/", "api_key": api_key, } diff --git a/src/llama_stack/providers/remote/inference/llama_openai_compat/llama.py b/src/llama_stack/providers/remote/inference/llama_openai_compat/llama.py index a5f67ecd1..f29aebf36 100644 --- a/src/llama_stack/providers/remote/inference/llama_openai_compat/llama.py +++ b/src/llama_stack/providers/remote/inference/llama_openai_compat/llama.py @@ -31,7 +31,7 @@ class LlamaCompatInferenceAdapter(OpenAIMixin): :return: The Llama API base URL """ - return self.config.openai_compat_api_base + return str(self.config.base_url) async def openai_completion( self, diff --git a/src/llama_stack/providers/remote/inference/nvidia/config.py b/src/llama_stack/providers/remote/inference/nvidia/config.py index e5b0c6b73..e1e9a0ea9 100644 --- a/src/llama_stack/providers/remote/inference/nvidia/config.py +++ b/src/llama_stack/providers/remote/inference/nvidia/config.py @@ -7,7 +7,7 @@ import os from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -44,18 +44,14 @@ class NVIDIAConfig(RemoteInferenceProviderConfig): URL of your running NVIDIA NIM and do not need to set the api_key. """ - url: str = Field( - default_factory=lambda: os.getenv("NVIDIA_BASE_URL", "https://integrate.api.nvidia.com"), + base_url: HttpUrl | None = Field( + default_factory=lambda: os.getenv("NVIDIA_BASE_URL", "https://integrate.api.nvidia.com/v1"), description="A base url for accessing the NVIDIA NIM", ) timeout: int = Field( default=60, description="Timeout for the HTTP requests", ) - append_api_version: bool = Field( - default_factory=lambda: os.getenv("NVIDIA_APPEND_API_VERSION", "True").lower() != "false", - description="When set to false, the API version will not be appended to the base_url. By default, it is true.", - ) rerank_model_to_url: dict[str, str] = Field( default_factory=lambda: { "nv-rerank-qa-mistral-4b:1": "https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking", @@ -68,13 +64,11 @@ class NVIDIAConfig(RemoteInferenceProviderConfig): @classmethod def sample_run_config( cls, - url: str = "${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com}", + base_url: HttpUrl | None = "${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1}", api_key: str = "${env.NVIDIA_API_KEY:=}", - append_api_version: bool = "${env.NVIDIA_APPEND_API_VERSION:=True}", **kwargs, ) -> dict[str, Any]: return { - "url": url, + "base_url": base_url, "api_key": api_key, - "append_api_version": append_api_version, } diff --git a/src/llama_stack/providers/remote/inference/nvidia/nvidia.py b/src/llama_stack/providers/remote/inference/nvidia/nvidia.py index 17f8775bf..5d0d52d6a 100644 --- a/src/llama_stack/providers/remote/inference/nvidia/nvidia.py +++ b/src/llama_stack/providers/remote/inference/nvidia/nvidia.py @@ -44,7 +44,7 @@ class NVIDIAInferenceAdapter(OpenAIMixin): } async def initialize(self) -> None: - logger.info(f"Initializing NVIDIAInferenceAdapter({self.config.url})...") + logger.info(f"Initializing NVIDIAInferenceAdapter({self.config.base_url})...") if _is_nvidia_hosted(self.config): if not self.config.auth_credential: @@ -72,7 +72,7 @@ class NVIDIAInferenceAdapter(OpenAIMixin): :return: The NVIDIA API base URL """ - return f"{self.config.url}/v1" if self.config.append_api_version else self.config.url + return str(self.config.base_url) async def list_provider_model_ids(self) -> Iterable[str]: """ diff --git a/src/llama_stack/providers/remote/inference/nvidia/utils.py b/src/llama_stack/providers/remote/inference/nvidia/utils.py index 46ee939d9..c138d1fc5 100644 --- a/src/llama_stack/providers/remote/inference/nvidia/utils.py +++ b/src/llama_stack/providers/remote/inference/nvidia/utils.py @@ -8,4 +8,4 @@ from . import NVIDIAConfig def _is_nvidia_hosted(config: NVIDIAConfig) -> bool: - return "integrate.api.nvidia.com" in config.url + return "integrate.api.nvidia.com" in str(config.base_url) diff --git a/src/llama_stack/providers/remote/inference/ollama/config.py b/src/llama_stack/providers/remote/inference/ollama/config.py index 416b847a0..60dd34fa8 100644 --- a/src/llama_stack/providers/remote/inference/ollama/config.py +++ b/src/llama_stack/providers/remote/inference/ollama/config.py @@ -6,20 +6,22 @@ from typing import Any -from pydantic import Field, SecretStr +from pydantic import Field, HttpUrl, SecretStr from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig -DEFAULT_OLLAMA_URL = "http://localhost:11434" +DEFAULT_OLLAMA_URL = "http://localhost:11434/v1" class OllamaImplConfig(RemoteInferenceProviderConfig): auth_credential: SecretStr | None = Field(default=None, exclude=True) - url: str = DEFAULT_OLLAMA_URL + base_url: HttpUrl | None = Field(default=HttpUrl(DEFAULT_OLLAMA_URL)) @classmethod - def sample_run_config(cls, url: str = "${env.OLLAMA_URL:=http://localhost:11434}", **kwargs) -> dict[str, Any]: + def sample_run_config( + cls, base_url: str = "${env.OLLAMA_URL:=http://localhost:11434/v1}", **kwargs + ) -> dict[str, Any]: return { - "url": url, + "base_url": base_url, } diff --git a/src/llama_stack/providers/remote/inference/ollama/ollama.py b/src/llama_stack/providers/remote/inference/ollama/ollama.py index d1bf85361..e8b872384 100644 --- a/src/llama_stack/providers/remote/inference/ollama/ollama.py +++ b/src/llama_stack/providers/remote/inference/ollama/ollama.py @@ -55,17 +55,23 @@ class OllamaInferenceAdapter(OpenAIMixin): # ollama client attaches itself to the current event loop (sadly?) loop = asyncio.get_running_loop() if loop not in self._clients: - self._clients[loop] = AsyncOllamaClient(host=self.config.url) + # Ollama client expects base URL without /v1 suffix + base_url_str = str(self.config.base_url) + if base_url_str.endswith("/v1"): + host = base_url_str[:-3] + else: + host = base_url_str + self._clients[loop] = AsyncOllamaClient(host=host) return self._clients[loop] def get_api_key(self): return "NO KEY REQUIRED" def get_base_url(self): - return self.config.url.rstrip("/") + "/v1" + return str(self.config.base_url) async def initialize(self) -> None: - logger.info(f"checking connectivity to Ollama at `{self.config.url}`...") + logger.info(f"checking connectivity to Ollama at `{self.config.base_url}`...") r = await self.health() if r["status"] == HealthStatus.ERROR: logger.warning( diff --git a/src/llama_stack/providers/remote/inference/openai/config.py b/src/llama_stack/providers/remote/inference/openai/config.py index ab28e571f..2057cd0d6 100644 --- a/src/llama_stack/providers/remote/inference/openai/config.py +++ b/src/llama_stack/providers/remote/inference/openai/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,8 +21,8 @@ class OpenAIProviderDataValidator(BaseModel): @json_schema_type class OpenAIConfig(RemoteInferenceProviderConfig): - base_url: str = Field( - default="https://api.openai.com/v1", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.openai.com/v1"), description="Base URL for OpenAI API", ) diff --git a/src/llama_stack/providers/remote/inference/openai/openai.py b/src/llama_stack/providers/remote/inference/openai/openai.py index 52bc48f1a..2d465546a 100644 --- a/src/llama_stack/providers/remote/inference/openai/openai.py +++ b/src/llama_stack/providers/remote/inference/openai/openai.py @@ -35,4 +35,4 @@ class OpenAIInferenceAdapter(OpenAIMixin): Returns the OpenAI API base URL from the configuration. """ - return self.config.base_url + return str(self.config.base_url) diff --git a/src/llama_stack/providers/remote/inference/passthrough/config.py b/src/llama_stack/providers/remote/inference/passthrough/config.py index 54508b6fb..f45806e79 100644 --- a/src/llama_stack/providers/remote/inference/passthrough/config.py +++ b/src/llama_stack/providers/remote/inference/passthrough/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import Field +from pydantic import Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -14,16 +14,16 @@ from llama_stack_api import json_schema_type @json_schema_type class PassthroughImplConfig(RemoteInferenceProviderConfig): - url: str = Field( + base_url: HttpUrl | None = Field( default=None, description="The URL for the passthrough endpoint", ) @classmethod def sample_run_config( - cls, url: str = "${env.PASSTHROUGH_URL}", api_key: str = "${env.PASSTHROUGH_API_KEY}", **kwargs + cls, base_url: HttpUrl | None = "${env.PASSTHROUGH_URL}", api_key: str = "${env.PASSTHROUGH_API_KEY}", **kwargs ) -> dict[str, Any]: return { - "url": url, + "base_url": base_url, "api_key": api_key, } diff --git a/src/llama_stack/providers/remote/inference/passthrough/passthrough.py b/src/llama_stack/providers/remote/inference/passthrough/passthrough.py index 75eedf026..b0e2e74ad 100644 --- a/src/llama_stack/providers/remote/inference/passthrough/passthrough.py +++ b/src/llama_stack/providers/remote/inference/passthrough/passthrough.py @@ -82,8 +82,8 @@ class PassthroughInferenceAdapter(NeedsRequestProviderData, Inference): def _get_passthrough_url(self) -> str: """Get the passthrough URL from config or provider data.""" - if self.config.url is not None: - return self.config.url + if self.config.base_url is not None: + return str(self.config.base_url) provider_data = self.get_request_provider_data() if provider_data is None: diff --git a/src/llama_stack/providers/remote/inference/runpod/config.py b/src/llama_stack/providers/remote/inference/runpod/config.py index 2ee56ca94..8d06f5263 100644 --- a/src/llama_stack/providers/remote/inference/runpod/config.py +++ b/src/llama_stack/providers/remote/inference/runpod/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field, SecretStr +from pydantic import BaseModel, Field, HttpUrl, SecretStr from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,7 +21,7 @@ class RunpodProviderDataValidator(BaseModel): @json_schema_type class RunpodImplConfig(RemoteInferenceProviderConfig): - url: str | None = Field( + base_url: HttpUrl | None = Field( default=None, description="The URL for the Runpod model serving endpoint", ) @@ -34,6 +34,6 @@ class RunpodImplConfig(RemoteInferenceProviderConfig): @classmethod def sample_run_config(cls, **kwargs: Any) -> dict[str, Any]: return { - "url": "${env.RUNPOD_URL:=}", + "base_url": "${env.RUNPOD_URL:=}", "api_token": "${env.RUNPOD_API_TOKEN}", } diff --git a/src/llama_stack/providers/remote/inference/runpod/runpod.py b/src/llama_stack/providers/remote/inference/runpod/runpod.py index 9c770cc24..04ad12851 100644 --- a/src/llama_stack/providers/remote/inference/runpod/runpod.py +++ b/src/llama_stack/providers/remote/inference/runpod/runpod.py @@ -28,7 +28,7 @@ class RunpodInferenceAdapter(OpenAIMixin): def get_base_url(self) -> str: """Get base URL for OpenAI client.""" - return self.config.url + return str(self.config.base_url) async def openai_chat_completion( self, diff --git a/src/llama_stack/providers/remote/inference/sambanova/config.py b/src/llama_stack/providers/remote/inference/sambanova/config.py index 93679ba99..79cda75a0 100644 --- a/src/llama_stack/providers/remote/inference/sambanova/config.py +++ b/src/llama_stack/providers/remote/inference/sambanova/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -21,14 +21,14 @@ class SambaNovaProviderDataValidator(BaseModel): @json_schema_type class SambaNovaImplConfig(RemoteInferenceProviderConfig): - url: str = Field( - default="https://api.sambanova.ai/v1", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.sambanova.ai/v1"), description="The URL for the SambaNova AI server", ) @classmethod def sample_run_config(cls, api_key: str = "${env.SAMBANOVA_API_KEY:=}", **kwargs) -> dict[str, Any]: return { - "url": "https://api.sambanova.ai/v1", + "base_url": "https://api.sambanova.ai/v1", "api_key": api_key, } diff --git a/src/llama_stack/providers/remote/inference/sambanova/sambanova.py b/src/llama_stack/providers/remote/inference/sambanova/sambanova.py index daa4b1670..cb01e3a90 100644 --- a/src/llama_stack/providers/remote/inference/sambanova/sambanova.py +++ b/src/llama_stack/providers/remote/inference/sambanova/sambanova.py @@ -25,4 +25,4 @@ class SambaNovaInferenceAdapter(OpenAIMixin): :return: The SambaNova base URL """ - return self.config.url + return str(self.config.base_url) diff --git a/src/llama_stack/providers/remote/inference/tgi/config.py b/src/llama_stack/providers/remote/inference/tgi/config.py index 74edc8523..44cb4b812 100644 --- a/src/llama_stack/providers/remote/inference/tgi/config.py +++ b/src/llama_stack/providers/remote/inference/tgi/config.py @@ -5,7 +5,7 @@ # the root directory of this source tree. -from pydantic import BaseModel, Field, SecretStr +from pydantic import BaseModel, Field, HttpUrl, SecretStr from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -15,18 +15,19 @@ from llama_stack_api import json_schema_type class TGIImplConfig(RemoteInferenceProviderConfig): auth_credential: SecretStr | None = Field(default=None, exclude=True) - url: str = Field( - description="The URL for the TGI serving endpoint", + base_url: HttpUrl | None = Field( + default=None, + description="The URL for the TGI serving endpoint (should include /v1 path)", ) @classmethod def sample_run_config( cls, - url: str = "${env.TGI_URL:=}", + base_url: str = "${env.TGI_URL:=}", **kwargs, ): return { - "url": url, + "base_url": base_url, } diff --git a/src/llama_stack/providers/remote/inference/tgi/tgi.py b/src/llama_stack/providers/remote/inference/tgi/tgi.py index dd47ccc62..5dc8c33f7 100644 --- a/src/llama_stack/providers/remote/inference/tgi/tgi.py +++ b/src/llama_stack/providers/remote/inference/tgi/tgi.py @@ -8,7 +8,7 @@ from collections.abc import Iterable from huggingface_hub import AsyncInferenceClient, HfApi -from pydantic import SecretStr +from pydantic import HttpUrl, SecretStr from llama_stack.log import get_logger from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin @@ -23,7 +23,7 @@ log = get_logger(name=__name__, category="inference::tgi") class _HfAdapter(OpenAIMixin): - url: str + base_url: HttpUrl api_key: SecretStr hf_client: AsyncInferenceClient @@ -36,7 +36,7 @@ class _HfAdapter(OpenAIMixin): return "NO KEY REQUIRED" def get_base_url(self): - return self.url + return self.base_url async def list_provider_model_ids(self) -> Iterable[str]: return [self.model_id] @@ -50,14 +50,20 @@ class _HfAdapter(OpenAIMixin): class TGIAdapter(_HfAdapter): async def initialize(self, config: TGIImplConfig) -> None: - if not config.url: + if not config.base_url: raise ValueError("You must provide a URL in run.yaml (or via the TGI_URL environment variable) to use TGI.") - log.info(f"Initializing TGI client with url={config.url}") - self.hf_client = AsyncInferenceClient(model=config.url, provider="hf-inference") + log.info(f"Initializing TGI client with url={config.base_url}") + # Extract base URL without /v1 for HF client initialization + base_url_str = str(config.base_url).rstrip("/") + if base_url_str.endswith("/v1"): + base_url_for_client = base_url_str[:-3] + else: + base_url_for_client = base_url_str + self.hf_client = AsyncInferenceClient(model=base_url_for_client, provider="hf-inference") endpoint_info = await self.hf_client.get_endpoint_info() self.max_tokens = endpoint_info["max_total_tokens"] self.model_id = endpoint_info["model_id"] - self.url = f"{config.url.rstrip('/')}/v1" + self.base_url = config.base_url self.api_key = SecretStr("NO_KEY") diff --git a/src/llama_stack/providers/remote/inference/together/config.py b/src/llama_stack/providers/remote/inference/together/config.py index c1b3c4a55..16f0686ba 100644 --- a/src/llama_stack/providers/remote/inference/together/config.py +++ b/src/llama_stack/providers/remote/inference/together/config.py @@ -6,7 +6,7 @@ from typing import Any -from pydantic import Field +from pydantic import Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -14,14 +14,14 @@ from llama_stack_api import json_schema_type @json_schema_type class TogetherImplConfig(RemoteInferenceProviderConfig): - url: str = Field( - default="https://api.together.xyz/v1", + base_url: HttpUrl | None = Field( + default=HttpUrl("https://api.together.xyz/v1"), description="The URL for the Together AI server", ) @classmethod def sample_run_config(cls, **kwargs) -> dict[str, Any]: return { - "url": "https://api.together.xyz/v1", + "base_url": "https://api.together.xyz/v1", "api_key": "${env.TOGETHER_API_KEY:=}", } diff --git a/src/llama_stack/providers/remote/inference/together/together.py b/src/llama_stack/providers/remote/inference/together/together.py index cd34aec5e..0826dbcd2 100644 --- a/src/llama_stack/providers/remote/inference/together/together.py +++ b/src/llama_stack/providers/remote/inference/together/together.py @@ -9,7 +9,6 @@ from collections.abc import Iterable from typing import Any, cast from together import AsyncTogether # type: ignore[import-untyped] -from together.constants import BASE_URL # type: ignore[import-untyped] from llama_stack.core.request_headers import NeedsRequestProviderData from llama_stack.log import get_logger @@ -42,7 +41,7 @@ class TogetherInferenceAdapter(OpenAIMixin, NeedsRequestProviderData): provider_data_api_key_field: str = "together_api_key" def get_base_url(self): - return BASE_URL + return str(self.config.base_url) def _get_client(self) -> AsyncTogether: together_api_key = None diff --git a/src/llama_stack/providers/remote/inference/vllm/config.py b/src/llama_stack/providers/remote/inference/vllm/config.py index c43533ee4..db6c74431 100644 --- a/src/llama_stack/providers/remote/inference/vllm/config.py +++ b/src/llama_stack/providers/remote/inference/vllm/config.py @@ -6,7 +6,7 @@ from pathlib import Path -from pydantic import Field, SecretStr, field_validator +from pydantic import Field, HttpUrl, SecretStr, field_validator from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -14,7 +14,7 @@ from llama_stack_api import json_schema_type @json_schema_type class VLLMInferenceAdapterConfig(RemoteInferenceProviderConfig): - url: str | None = Field( + base_url: HttpUrl | None = Field( default=None, description="The URL for the vLLM model serving endpoint", ) @@ -48,11 +48,11 @@ class VLLMInferenceAdapterConfig(RemoteInferenceProviderConfig): @classmethod def sample_run_config( cls, - url: str = "${env.VLLM_URL:=}", + base_url: str = "${env.VLLM_URL:=}", **kwargs, ): return { - "url": url, + "base_url": base_url, "max_tokens": "${env.VLLM_MAX_TOKENS:=4096}", "api_token": "${env.VLLM_API_TOKEN:=fake}", "tls_verify": "${env.VLLM_TLS_VERIFY:=true}", diff --git a/src/llama_stack/providers/remote/inference/vllm/vllm.py b/src/llama_stack/providers/remote/inference/vllm/vllm.py index 1510e9384..6664ca36b 100644 --- a/src/llama_stack/providers/remote/inference/vllm/vllm.py +++ b/src/llama_stack/providers/remote/inference/vllm/vllm.py @@ -39,12 +39,12 @@ class VLLMInferenceAdapter(OpenAIMixin): def get_base_url(self) -> str: """Get the base URL from config.""" - if not self.config.url: + if not self.config.base_url: raise ValueError("No base URL configured") - return self.config.url + return str(self.config.base_url) async def initialize(self) -> None: - if not self.config.url: + if not self.config.base_url: raise ValueError( "You must provide a URL in run.yaml (or via the VLLM_URL environment variable) to use vLLM." ) diff --git a/src/llama_stack/providers/remote/inference/watsonx/config.py b/src/llama_stack/providers/remote/inference/watsonx/config.py index 914f80820..be2b2c0ab 100644 --- a/src/llama_stack/providers/remote/inference/watsonx/config.py +++ b/src/llama_stack/providers/remote/inference/watsonx/config.py @@ -7,7 +7,7 @@ import os from typing import Any -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, HttpUrl from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig from llama_stack_api import json_schema_type @@ -23,7 +23,7 @@ class WatsonXProviderDataValidator(BaseModel): @json_schema_type class WatsonXConfig(RemoteInferenceProviderConfig): - url: str = Field( + base_url: HttpUrl | None = Field( default_factory=lambda: os.getenv("WATSONX_BASE_URL", "https://us-south.ml.cloud.ibm.com"), description="A base url for accessing the watsonx.ai", ) @@ -39,7 +39,7 @@ class WatsonXConfig(RemoteInferenceProviderConfig): @classmethod def sample_run_config(cls, **kwargs) -> dict[str, Any]: return { - "url": "${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com}", + "base_url": "${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com}", "api_key": "${env.WATSONX_API_KEY:=}", "project_id": "${env.WATSONX_PROJECT_ID:=}", } diff --git a/src/llama_stack/providers/remote/inference/watsonx/watsonx.py b/src/llama_stack/providers/remote/inference/watsonx/watsonx.py index aab9e2dca..5684f6c17 100644 --- a/src/llama_stack/providers/remote/inference/watsonx/watsonx.py +++ b/src/llama_stack/providers/remote/inference/watsonx/watsonx.py @@ -255,7 +255,7 @@ class WatsonXInferenceAdapter(LiteLLMOpenAIMixin): ) def get_base_url(self) -> str: - return self.config.url + return str(self.config.base_url) # Copied from OpenAIMixin async def check_model_availability(self, model: str) -> bool: @@ -316,7 +316,7 @@ class WatsonXInferenceAdapter(LiteLLMOpenAIMixin): """ Retrieves foundation model specifications from the watsonx.ai API. """ - url = f"{self.config.url}/ml/v1/foundation_model_specs?version=2023-10-25" + url = f"{str(self.config.base_url)}/ml/v1/foundation_model_specs?version=2023-10-25" headers = { # Note that there is no authorization header. Listing models does not require authentication. "Content-Type": "application/json", diff --git a/tests/integration/README.md b/tests/integration/README.md index f581073ae..3559b785c 100644 --- a/tests/integration/README.md +++ b/tests/integration/README.md @@ -211,3 +211,23 @@ def test_asymmetric_embeddings(llama_stack_client, embedding_model_id): assert query_response.embeddings is not None ``` + +## TypeScript Client Replays + +TypeScript SDK tests can run alongside Python tests when testing against `server:` stacks. Set `TS_CLIENT_PATH` to the path or version of `llama-stack-client-typescript` to enable: + +```bash +# Use published npm package (responses suite) +TS_CLIENT_PATH=^0.3.2 scripts/integration-tests.sh --stack-config server:ci-tests --suite responses --setup gpt + +# Use local checkout from ~/.cache (recommended for development) +git clone https://github.com/llamastack/llama-stack-client-typescript.git ~/.cache/llama-stack-client-typescript +TS_CLIENT_PATH=~/.cache/llama-stack-client-typescript scripts/integration-tests.sh --stack-config server:ci-tests --suite responses --setup gpt + +# Run base suite with TypeScript tests +TS_CLIENT_PATH=~/.cache/llama-stack-client-typescript scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup ollama +``` + +TypeScript tests run immediately after Python tests pass, using the same replay fixtures. The mapping between Python suites/setups and TypeScript test files is defined in `tests/integration/client-typescript/suites.json`. + +If `TS_CLIENT_PATH` is unset, TypeScript tests are skipped entirely. diff --git a/tests/integration/client-typescript/__tests__/inference.test.ts b/tests/integration/client-typescript/__tests__/inference.test.ts new file mode 100644 index 000000000..b0734fed7 --- /dev/null +++ b/tests/integration/client-typescript/__tests__/inference.test.ts @@ -0,0 +1,104 @@ +// 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. + +/** + * Integration tests for Inference API (Chat Completions). + * Ported from: llama-stack/tests/integration/inference/test_openai_completion.py + * + * IMPORTANT: Test cases must match EXACTLY with Python tests to use recorded API responses. + */ + +import { createTestClient, requireTextModel } from '../setup'; + +describe('Inference API - Chat Completions', () => { + // Test cases matching llama-stack/tests/integration/test_cases/inference/chat_completion.json + const chatCompletionTestCases = [ + { + id: 'non_streaming_01', + question: 'Which planet do humans live on?', + expected: 'earth', + testId: + 'tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=ollama/llama3.2:3b-instruct-fp16-inference:chat_completion:non_streaming_01]', + }, + { + id: 'non_streaming_02', + question: 'Which planet has rings around it with a name starting with letter S?', + expected: 'saturn', + testId: + 'tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=ollama/llama3.2:3b-instruct-fp16-inference:chat_completion:non_streaming_02]', + }, + ]; + + const streamingTestCases = [ + { + id: 'streaming_01', + question: "What's the name of the Sun in latin?", + expected: 'sol', + testId: + 'tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=ollama/llama3.2:3b-instruct-fp16-inference:chat_completion:streaming_01]', + }, + { + id: 'streaming_02', + question: 'What is the name of the US captial?', + expected: 'washington', + testId: + 'tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=ollama/llama3.2:3b-instruct-fp16-inference:chat_completion:streaming_02]', + }, + ]; + + test.each(chatCompletionTestCases)( + 'chat completion non-streaming: $id', + async ({ question, expected, testId }) => { + const client = createTestClient(testId); + const textModel = requireTextModel(); + + const response = await client.chat.completions.create({ + model: textModel, + messages: [ + { + role: 'user', + content: question, + }, + ], + stream: false, + }); + + // Non-streaming responses have choices with message property + const choice = response.choices[0]; + expect(choice).toBeDefined(); + if (!choice || !('message' in choice)) { + throw new Error('Expected non-streaming response with message'); + } + const content = choice.message.content; + expect(content).toBeDefined(); + const messageContent = typeof content === 'string' ? content.toLowerCase().trim() : ''; + expect(messageContent.length).toBeGreaterThan(0); + expect(messageContent).toContain(expected.toLowerCase()); + }, + ); + + test.each(streamingTestCases)('chat completion streaming: $id', async ({ question, expected, testId }) => { + const client = createTestClient(testId); + const textModel = requireTextModel(); + + const stream = await client.chat.completions.create({ + model: textModel, + messages: [{ role: 'user', content: question }], + stream: true, + }); + + const streamedContent: string[] = []; + for await (const chunk of stream) { + if (chunk.choices && chunk.choices.length > 0 && chunk.choices[0]?.delta?.content) { + streamedContent.push(chunk.choices[0].delta.content); + } + } + + expect(streamedContent.length).toBeGreaterThan(0); + const fullContent = streamedContent.join('').toLowerCase().trim(); + expect(fullContent).toContain(expected.toLowerCase()); + }); +}); diff --git a/tests/integration/client-typescript/__tests__/responses.test.ts b/tests/integration/client-typescript/__tests__/responses.test.ts new file mode 100644 index 000000000..0fc2a3245 --- /dev/null +++ b/tests/integration/client-typescript/__tests__/responses.test.ts @@ -0,0 +1,132 @@ +// 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. + +/** + * Integration tests for Responses API. + * Ported from: llama-stack/tests/integration/responses/test_basic_responses.py + * + * IMPORTANT: Test cases and IDs must match EXACTLY with Python tests to use recorded API responses. + */ + +import { createTestClient, requireTextModel, getResponseOutputText } from '../setup'; + +describe('Responses API - Basic', () => { + // Test cases matching llama-stack/tests/integration/responses/fixtures/test_cases.py + const basicTestCases = [ + { + id: 'earth', + input: 'Which planet do humans live on?', + expected: 'earth', + // Use client_with_models fixture to match non-streaming recordings + testId: + 'tests/integration/responses/test_basic_responses.py::test_response_non_streaming_basic[client_with_models-txt=openai/gpt-4o-earth]', + }, + { + id: 'saturn', + input: 'Which planet has rings around it with a name starting with letter S?', + expected: 'saturn', + testId: + 'tests/integration/responses/test_basic_responses.py::test_response_non_streaming_basic[client_with_models-txt=openai/gpt-4o-saturn]', + }, + ]; + + test.each(basicTestCases)('non-streaming basic response: $id', async ({ input, expected, testId }) => { + // Create client with test_id for all requests + const client = createTestClient(testId); + const textModel = requireTextModel(); + + // Create a response + const response = await client.responses.create({ + model: textModel, + input, + stream: false, + }); + + // Verify response has content + const outputText = getResponseOutputText(response).toLowerCase().trim(); + expect(outputText.length).toBeGreaterThan(0); + expect(outputText).toContain(expected.toLowerCase()); + + // Verify usage is reported + expect(response.usage).toBeDefined(); + expect(response.usage!.input_tokens).toBeGreaterThan(0); + expect(response.usage!.output_tokens).toBeGreaterThan(0); + expect(response.usage!.total_tokens).toBe(response.usage!.input_tokens + response.usage!.output_tokens); + + // Verify stored response matches + const retrievedResponse = await client.responses.retrieve(response.id); + expect(getResponseOutputText(retrievedResponse)).toBe(getResponseOutputText(response)); + + // Test follow-up with previous_response_id + const nextResponse = await client.responses.create({ + model: textModel, + input: 'Repeat your previous response in all caps.', + previous_response_id: response.id, + }); + const nextOutputText = getResponseOutputText(nextResponse).trim(); + expect(nextOutputText).toContain(expected.toUpperCase()); + }); + + test.each(basicTestCases)('streaming basic response: $id', async ({ input, expected, testId }) => { + // Modify test_id for streaming variant + const streamingTestId = testId.replace( + 'test_response_non_streaming_basic', + 'test_response_streaming_basic', + ); + const client = createTestClient(streamingTestId); + const textModel = requireTextModel(); + + // Create a streaming response + const stream = await client.responses.create({ + model: textModel, + input, + stream: true, + }); + + const events: any[] = []; + let responseId = ''; + + for await (const chunk of stream) { + events.push(chunk); + + if (chunk.type === 'response.created') { + // Verify response.created is the first event + expect(events.length).toBe(1); + expect(chunk.response.status).toBe('in_progress'); + responseId = chunk.response.id; + } else if (chunk.type === 'response.completed') { + // Verify response.completed comes after response.created + expect(events.length).toBeGreaterThanOrEqual(2); + expect(chunk.response.status).toBe('completed'); + expect(chunk.response.id).toBe(responseId); + + // Verify content quality + const outputText = getResponseOutputText(chunk.response).toLowerCase().trim(); + expect(outputText.length).toBeGreaterThan(0); + expect(outputText).toContain(expected.toLowerCase()); + + // Verify usage is reported + expect(chunk.response.usage).toBeDefined(); + expect(chunk.response.usage!.input_tokens).toBeGreaterThan(0); + expect(chunk.response.usage!.output_tokens).toBeGreaterThan(0); + expect(chunk.response.usage!.total_tokens).toBe( + chunk.response.usage!.input_tokens + chunk.response.usage!.output_tokens, + ); + } + } + + // Verify we got both events + expect(events.length).toBeGreaterThanOrEqual(2); + const firstEvent = events[0]; + const lastEvent = events[events.length - 1]; + expect(firstEvent.type).toBe('response.created'); + expect(lastEvent.type).toBe('response.completed'); + + // Verify stored response matches streamed response + const retrievedResponse = await client.responses.retrieve(responseId); + expect(getResponseOutputText(retrievedResponse)).toBe(getResponseOutputText(lastEvent.response)); + }); +}); diff --git a/tests/integration/client-typescript/jest.integration.config.js b/tests/integration/client-typescript/jest.integration.config.js new file mode 100644 index 000000000..769bd177a --- /dev/null +++ b/tests/integration/client-typescript/jest.integration.config.js @@ -0,0 +1,31 @@ +// 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. + +/** @type {import('ts-jest').JestConfigWithTsJest} */ +module.exports = { + preset: 'ts-jest/presets/default-esm', + testEnvironment: 'node', + extensionsToTreatAsEsm: ['.ts'], + moduleNameMapper: { + '^(\\.{1,2}/.*)\\.js$': '$1', + }, + transform: { + '^.+\\.tsx?$': [ + 'ts-jest', + { + useESM: true, + tsconfig: { + module: 'ES2022', + moduleResolution: 'bundler', + }, + }, + ], + }, + testMatch: ['/__tests__/**/*.test.ts'], + setupFilesAfterEnv: ['/setup.ts'], + testTimeout: 60000, // 60 seconds (integration tests can be slow) + watchman: false, // Disable watchman to avoid permission issues +}; diff --git a/tests/integration/client-typescript/package-lock.json b/tests/integration/client-typescript/package-lock.json new file mode 100644 index 000000000..f118a07e3 --- /dev/null +++ b/tests/integration/client-typescript/package-lock.json @@ -0,0 +1,5507 @@ +{ + "name": "llama-stack-typescript-integration-tests", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": true, + "packages": { + 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"^5.0.0" + } +} diff --git a/tests/integration/client-typescript/run-tests.js b/tests/integration/client-typescript/run-tests.js new file mode 100755 index 000000000..93df5d8a0 --- /dev/null +++ b/tests/integration/client-typescript/run-tests.js @@ -0,0 +1,63 @@ +#!/usr/bin/env node +// 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. + +/** + * Test runner that finds and executes TypeScript tests based on suite/setup mapping. + * Called by integration-tests.sh via npm test. + */ + +const fs = require('fs'); +const path = require('path'); +const { execSync } = require('child_process'); + +const suite = process.env.LLAMA_STACK_TEST_SUITE; +const setup = process.env.LLAMA_STACK_TEST_SETUP || ''; + +if (!suite) { + console.error('Error: LLAMA_STACK_TEST_SUITE environment variable is required'); + process.exit(1); +} + +// Read suites.json to find matching test files +const suitesPath = path.join(__dirname, 'suites.json'); +if (!fs.existsSync(suitesPath)) { + console.log(`No TypeScript tests configured (${suitesPath} not found)`); + process.exit(0); +} + +const suites = JSON.parse(fs.readFileSync(suitesPath, 'utf-8')); + +// Find matching entry +let testFiles = []; +for (const entry of suites) { + if (entry.suite !== suite) { + continue; + } + const entrySetup = entry.setup || ''; + if (entrySetup && entrySetup !== setup) { + continue; + } + testFiles = entry.files || []; + break; +} + +if (testFiles.length === 0) { + console.log(`No TypeScript integration tests mapped for suite ${suite} (setup ${setup})`); + process.exit(0); +} + +console.log(`Running TypeScript tests for suite ${suite} (setup ${setup}): ${testFiles.join(', ')}`); + +// Run Jest with the mapped test files +try { + execSync(`npx jest --config jest.integration.config.js ${testFiles.join(' ')}`, { + stdio: 'inherit', + cwd: __dirname, + }); +} catch (error) { + process.exit(error.status || 1); +} diff --git a/tests/integration/client-typescript/setup.ts b/tests/integration/client-typescript/setup.ts new file mode 100644 index 000000000..75cabab74 --- /dev/null +++ b/tests/integration/client-typescript/setup.ts @@ -0,0 +1,162 @@ +// 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. + +/** + * Global setup for integration tests. + * This file mimics pytest's fixture system by providing shared test configuration. + */ + +import LlamaStackClient from 'llama-stack-client'; + +/** + * Load test configuration from the Python setup system. + * This reads setup definitions from tests/integration/suites.py via get_setup_env.py. + */ +function loadTestConfig() { + const baseURL = process.env['TEST_API_BASE_URL']; + const setupName = process.env['LLAMA_STACK_TEST_SETUP']; + const textModel = process.env['LLAMA_STACK_TEST_TEXT_MODEL']; + const embeddingModel = process.env['LLAMA_STACK_TEST_EMBEDDING_MODEL']; + + if (!baseURL) { + throw new Error( + 'TEST_API_BASE_URL is required for integration tests. ' + + 'Run tests using: ./scripts/integration-test.sh', + ); + } + + return { + baseURL, + textModel, + embeddingModel, + setupName, + }; +} + +// Read configuration from environment variables (set by scripts/integration-test.sh) +export const TEST_CONFIG = loadTestConfig(); + +// Validate required configuration +beforeAll(() => { + console.log('\n=== Integration Test Configuration ==='); + console.log(`Base URL: ${TEST_CONFIG.baseURL}`); + console.log(`Setup: ${TEST_CONFIG.setupName || 'NOT SET'}`); + console.log( + `Text Model: ${TEST_CONFIG.textModel || 'NOT SET - tests requiring text model will be skipped'}`, + ); + console.log( + `Embedding Model: ${ + TEST_CONFIG.embeddingModel || 'NOT SET - tests requiring embedding model will be skipped' + }`, + ); + console.log('=====================================\n'); +}); + +/** + * Create a client instance for integration tests. + * Mimics pytest's `llama_stack_client` fixture. + * + * @param testId - Test ID to send in X-LlamaStack-Provider-Data header for replay mode. + * Format: "tests/integration/responses/test_basic_responses.py::test_name[params]" + */ +export function createTestClient(testId?: string): LlamaStackClient { + const headers: Record = {}; + + // In server mode with replay, send test ID for recording isolation + if (process.env['LLAMA_STACK_TEST_STACK_CONFIG_TYPE'] === 'server' && testId) { + headers['X-LlamaStack-Provider-Data'] = JSON.stringify({ + __test_id: testId, + }); + } + + return new LlamaStackClient({ + baseURL: TEST_CONFIG.baseURL, + timeout: 60000, // 60 seconds + defaultHeaders: headers, + }); +} + +/** + * Skip test if required model is not configured. + * Mimics pytest's `skip_if_no_model` autouse fixture. + */ +export function skipIfNoModel(modelType: 'text' | 'embedding'): typeof test { + const model = modelType === 'text' ? TEST_CONFIG.textModel : TEST_CONFIG.embeddingModel; + + if (!model) { + const envVar = modelType === 'text' ? 'LLAMA_STACK_TEST_TEXT_MODEL' : 'LLAMA_STACK_TEST_EMBEDDING_MODEL'; + const message = `Skipping: ${modelType} model not configured (set ${envVar})`; + return test.skip.bind(test) as typeof test; + } + + return test; +} + +/** + * Get the configured text model, throwing if not set. + * Use this in tests that absolutely require a text model. + */ +export function requireTextModel(): string { + if (!TEST_CONFIG.textModel) { + throw new Error( + 'LLAMA_STACK_TEST_TEXT_MODEL environment variable is required. ' + + 'Run tests using: ./scripts/integration-test.sh', + ); + } + return TEST_CONFIG.textModel; +} + +/** + * Get the configured embedding model, throwing if not set. + * Use this in tests that absolutely require an embedding model. + */ +export function requireEmbeddingModel(): string { + if (!TEST_CONFIG.embeddingModel) { + throw new Error( + 'LLAMA_STACK_TEST_EMBEDDING_MODEL environment variable is required. ' + + 'Run tests using: ./scripts/integration-test.sh', + ); + } + return TEST_CONFIG.embeddingModel; +} + +/** + * Extracts aggregated text output from a ResponseObject. + * This concatenates all text content from the response's output array. + * + * Copied from llama-stack-client's response-helpers until it's available in published version. + */ +export function getResponseOutputText(response: any): string { + const pieces: string[] = []; + + for (const output of response.output ?? []) { + if (!output || output.type !== 'message') { + continue; + } + + const content = output.content; + if (typeof content === 'string') { + pieces.push(content); + continue; + } + + if (!Array.isArray(content)) { + continue; + } + + for (const item of content) { + if (typeof item === 'string') { + pieces.push(item); + continue; + } + if (item && item.type === 'output_text' && 'text' in item && typeof item.text === 'string') { + pieces.push(item.text); + } + } + } + + return pieces.join(''); +} diff --git a/tests/integration/client-typescript/suites.json b/tests/integration/client-typescript/suites.json new file mode 100644 index 000000000..5c5b83058 --- /dev/null +++ b/tests/integration/client-typescript/suites.json @@ -0,0 +1,12 @@ +[ + { + "suite": "responses", + "setup": "gpt", + "files": ["__tests__/responses.test.ts"] + }, + { + "suite": "base", + "setup": "ollama", + "files": ["__tests__/inference.test.ts"] + } +] diff --git a/tests/integration/client-typescript/tsconfig.json b/tests/integration/client-typescript/tsconfig.json new file mode 100644 index 000000000..19b6cdeb1 --- /dev/null +++ b/tests/integration/client-typescript/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ES2022", + "lib": ["ES2022"], + "moduleResolution": "bundler", + "esModuleInterop": true, + "allowSyntheticDefaultImports": true, + "strict": true, + "skipLibCheck": true, + "resolveJsonModule": true, + "types": ["jest", "node"] + }, + "include": ["**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/tests/integration/suites.py b/tests/integration/suites.py index 7689657b4..10c872705 100644 --- a/tests/integration/suites.py +++ b/tests/integration/suites.py @@ -50,7 +50,7 @@ SETUP_DEFINITIONS: dict[str, Setup] = { name="ollama", description="Local Ollama provider with text + safety models", env={ - "OLLAMA_URL": "http://0.0.0.0:11434", + "OLLAMA_URL": "http://0.0.0.0:11434/v1", "SAFETY_MODEL": "ollama/llama-guard3:1b", }, defaults={ @@ -64,7 +64,7 @@ SETUP_DEFINITIONS: dict[str, Setup] = { name="ollama", description="Local Ollama provider with a vision model", env={ - "OLLAMA_URL": "http://0.0.0.0:11434", + "OLLAMA_URL": "http://0.0.0.0:11434/v1", }, defaults={ "vision_model": "ollama/llama3.2-vision:11b", @@ -75,7 +75,7 @@ SETUP_DEFINITIONS: dict[str, Setup] = { name="ollama-postgres", description="Server-mode tests with Postgres-backed persistence", env={ - "OLLAMA_URL": "http://0.0.0.0:11434", + "OLLAMA_URL": "http://0.0.0.0:11434/v1", "SAFETY_MODEL": "ollama/llama-guard3:1b", "POSTGRES_HOST": "127.0.0.1", "POSTGRES_PORT": "5432", diff --git a/tests/unit/providers/agents/meta_reference/test_safety_optional.py b/tests/unit/providers/agents/meta_reference/test_safety_optional.py new file mode 100644 index 000000000..b48d38b29 --- /dev/null +++ b/tests/unit/providers/agents/meta_reference/test_safety_optional.py @@ -0,0 +1,206 @@ +# 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. + +"""Tests for making Safety API optional in meta-reference agents provider. + +This test suite validates the changes introduced to fix issue #4165, which +allows running the meta-reference agents provider without the Safety API. +Safety API is now an optional dependency, and errors are raised at request time +when guardrails are explicitly requested without Safety API configured. +""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from llama_stack.core.datatypes import Api +from llama_stack.core.storage.datatypes import KVStoreReference, ResponsesStoreReference +from llama_stack.providers.inline.agents.meta_reference import get_provider_impl +from llama_stack.providers.inline.agents.meta_reference.config import ( + AgentPersistenceConfig, + MetaReferenceAgentsImplConfig, +) +from llama_stack.providers.inline.agents.meta_reference.responses.utils import ( + run_guardrails, +) + + +@pytest.fixture +def mock_persistence_config(): + """Create a mock persistence configuration.""" + return AgentPersistenceConfig( + agent_state=KVStoreReference( + backend="kv_default", + namespace="agents", + ), + responses=ResponsesStoreReference( + backend="sql_default", + table_name="responses", + ), + ) + + +@pytest.fixture +def mock_deps(): + """Create mock dependencies for the agents provider.""" + # Create mock APIs + inference_api = AsyncMock() + vector_io_api = AsyncMock() + tool_runtime_api = AsyncMock() + tool_groups_api = AsyncMock() + conversations_api = AsyncMock() + + return { + Api.inference: inference_api, + Api.vector_io: vector_io_api, + Api.tool_runtime: tool_runtime_api, + Api.tool_groups: tool_groups_api, + Api.conversations: conversations_api, + } + + +class TestProviderInitialization: + """Test provider initialization with different safety API configurations.""" + + async def test_initialization_with_safety_api_present(self, mock_persistence_config, mock_deps): + """Test successful initialization when Safety API is configured.""" + config = MetaReferenceAgentsImplConfig(persistence=mock_persistence_config) + + # Add safety API to deps + safety_api = AsyncMock() + mock_deps[Api.safety] = safety_api + + # Mock the initialize method to avoid actual initialization + with patch( + "llama_stack.providers.inline.agents.meta_reference.agents.MetaReferenceAgentsImpl.initialize", + new_callable=AsyncMock, + ): + # Should not raise any exception + provider = await get_provider_impl(config, mock_deps, policy=[], telemetry_enabled=False) + assert provider is not None + + async def test_initialization_without_safety_api(self, mock_persistence_config, mock_deps): + """Test successful initialization when Safety API is not configured.""" + config = MetaReferenceAgentsImplConfig(persistence=mock_persistence_config) + + # Safety API is NOT in mock_deps - provider should still start + # Mock the initialize method to avoid actual initialization + with patch( + "llama_stack.providers.inline.agents.meta_reference.agents.MetaReferenceAgentsImpl.initialize", + new_callable=AsyncMock, + ): + # Should not raise any exception + provider = await get_provider_impl(config, mock_deps, policy=[], telemetry_enabled=False) + assert provider is not None + assert provider.safety_api is None + + +class TestGuardrailsFunctionality: + """Test run_guardrails function with optional safety API.""" + + async def test_run_guardrails_with_none_safety_api(self): + """Test that run_guardrails returns None when safety_api is None.""" + result = await run_guardrails(safety_api=None, messages="test message", guardrail_ids=["llama-guard"]) + assert result is None + + async def test_run_guardrails_with_empty_messages(self): + """Test that run_guardrails returns None for empty messages.""" + # Test with None safety API + result = await run_guardrails(safety_api=None, messages="", guardrail_ids=["llama-guard"]) + assert result is None + + # Test with mock safety API + mock_safety_api = AsyncMock() + result = await run_guardrails(safety_api=mock_safety_api, messages="", guardrail_ids=["llama-guard"]) + assert result is None + + async def test_run_guardrails_with_none_safety_api_ignores_guardrails(self): + """Test that guardrails are skipped when safety_api is None, even if guardrail_ids are provided.""" + # Should not raise exception, just return None + result = await run_guardrails( + safety_api=None, + messages="potentially harmful content", + guardrail_ids=["llama-guard", "content-filter"], + ) + assert result is None + + async def test_create_response_rejects_guardrails_without_safety_api(self, mock_persistence_config, mock_deps): + """Test that create_openai_response raises error when guardrails requested but Safety API unavailable.""" + from llama_stack.providers.inline.agents.meta_reference.responses.openai_responses import ( + OpenAIResponsesImpl, + ) + from llama_stack_api import ResponseGuardrailSpec + + # Create OpenAIResponsesImpl with no safety API + with patch("llama_stack.providers.inline.agents.meta_reference.responses.openai_responses.ResponsesStore"): + impl = OpenAIResponsesImpl( + inference_api=mock_deps[Api.inference], + tool_groups_api=mock_deps[Api.tool_groups], + tool_runtime_api=mock_deps[Api.tool_runtime], + responses_store=MagicMock(), + vector_io_api=mock_deps[Api.vector_io], + safety_api=None, # No Safety API + conversations_api=mock_deps[Api.conversations], + ) + + # Test with string guardrail + with pytest.raises(ValueError) as exc_info: + await impl.create_openai_response( + input="test input", + model="test-model", + guardrails=["llama-guard"], + ) + assert "Cannot process guardrails: Safety API is not configured" in str(exc_info.value) + + # Test with ResponseGuardrailSpec + with pytest.raises(ValueError) as exc_info: + await impl.create_openai_response( + input="test input", + model="test-model", + guardrails=[ResponseGuardrailSpec(type="llama-guard")], + ) + assert "Cannot process guardrails: Safety API is not configured" in str(exc_info.value) + + async def test_create_response_succeeds_without_guardrails_and_no_safety_api( + self, mock_persistence_config, mock_deps + ): + """Test that create_openai_response works when no guardrails requested and Safety API unavailable.""" + from llama_stack.providers.inline.agents.meta_reference.responses.openai_responses import ( + OpenAIResponsesImpl, + ) + + # Create OpenAIResponsesImpl with no safety API + with ( + patch("llama_stack.providers.inline.agents.meta_reference.responses.openai_responses.ResponsesStore"), + patch.object(OpenAIResponsesImpl, "_create_streaming_response", new_callable=AsyncMock) as mock_stream, + ): + # Mock the streaming response to return a simple async generator + async def mock_generator(): + yield MagicMock() + + mock_stream.return_value = mock_generator() + + impl = OpenAIResponsesImpl( + inference_api=mock_deps[Api.inference], + tool_groups_api=mock_deps[Api.tool_groups], + tool_runtime_api=mock_deps[Api.tool_runtime], + responses_store=MagicMock(), + vector_io_api=mock_deps[Api.vector_io], + safety_api=None, # No Safety API + conversations_api=mock_deps[Api.conversations], + ) + + # Should not raise when no guardrails requested + # Note: This will still fail later in execution due to mocking, but should pass the validation + try: + await impl.create_openai_response( + input="test input", + model="test-model", + guardrails=None, # No guardrails + ) + except Exception as e: + # Ensure the error is NOT about missing Safety API + assert "Cannot process guardrails: Safety API is not configured" not in str(e) diff --git a/tests/unit/providers/inference/test_inference_client_caching.py b/tests/unit/providers/inference/test_inference_client_caching.py index aa3a2c77a..6ddf790af 100644 --- a/tests/unit/providers/inference/test_inference_client_caching.py +++ b/tests/unit/providers/inference/test_inference_client_caching.py @@ -120,7 +120,7 @@ from llama_stack.providers.remote.inference.watsonx.watsonx import WatsonXInfere VLLMInferenceAdapter, "llama_stack.providers.remote.inference.vllm.VLLMProviderDataValidator", { - "url": "http://fake", + "base_url": "http://fake", }, ), ], @@ -153,7 +153,7 @@ def test_litellm_provider_data_used(config_cls, adapter_cls, provider_data_valid """Validate data for LiteLLM-based providers. Similar to test_openai_provider_data_used, but without the assumption that there is an OpenAI-compatible client object.""" - inference_adapter = adapter_cls(config=config_cls()) + inference_adapter = adapter_cls(config=config_cls(base_url="http://fake")) inference_adapter.__provider_spec__ = MagicMock() inference_adapter.__provider_spec__.provider_data_validator = provider_data_validator diff --git a/tests/unit/providers/inference/test_remote_vllm.py b/tests/unit/providers/inference/test_remote_vllm.py index 958895cc4..0cf8ed306 100644 --- a/tests/unit/providers/inference/test_remote_vllm.py +++ b/tests/unit/providers/inference/test_remote_vllm.py @@ -40,7 +40,7 @@ from llama_stack_api import ( @pytest.fixture(scope="function") async def vllm_inference_adapter(): - config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345") + config = VLLMInferenceAdapterConfig(base_url="http://mocked.localhost:12345") inference_adapter = VLLMInferenceAdapter(config=config) inference_adapter.model_store = AsyncMock() await inference_adapter.initialize() @@ -204,7 +204,7 @@ async def test_vllm_completion_extra_body(): via extra_body to the underlying OpenAI client through the InferenceRouter. """ # Set up the vLLM adapter - config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345") + config = VLLMInferenceAdapterConfig(base_url="http://mocked.localhost:12345") vllm_adapter = VLLMInferenceAdapter(config=config) vllm_adapter.__provider_id__ = "vllm" await vllm_adapter.initialize() @@ -277,7 +277,7 @@ async def test_vllm_chat_completion_extra_body(): via extra_body to the underlying OpenAI client through the InferenceRouter for chat completion. """ # Set up the vLLM adapter - config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345") + config = VLLMInferenceAdapterConfig(base_url="http://mocked.localhost:12345") vllm_adapter = VLLMInferenceAdapter(config=config) vllm_adapter.__provider_id__ = "vllm" await vllm_adapter.initialize() diff --git a/tests/unit/providers/nvidia/test_rerank_inference.py b/tests/unit/providers/nvidia/test_rerank_inference.py index ee62910b8..4ad9dc766 100644 --- a/tests/unit/providers/nvidia/test_rerank_inference.py +++ b/tests/unit/providers/nvidia/test_rerank_inference.py @@ -146,7 +146,7 @@ async def test_hosted_model_not_in_endpoint_mapping(): async def test_self_hosted_ignores_endpoint(): adapter = create_adapter( - config=NVIDIAConfig(url="http://localhost:8000", api_key=None), + config=NVIDIAConfig(base_url="http://localhost:8000", api_key=None), rerank_endpoints={"test-model": "https://model.endpoint/rerank"}, # This should be ignored for self-hosted. ) mock_session = MockSession(MockResponse()) diff --git a/tests/unit/providers/test_configs.py b/tests/unit/providers/test_configs.py index 867cfffbc..b4ba78394 100644 --- a/tests/unit/providers/test_configs.py +++ b/tests/unit/providers/test_configs.py @@ -4,8 +4,10 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. +from typing import get_args, get_origin + import pytest -from pydantic import BaseModel +from pydantic import BaseModel, HttpUrl from llama_stack.core.distribution import get_provider_registry, providable_apis from llama_stack.core.utils.dynamic import instantiate_class_type @@ -41,3 +43,55 @@ class TestProviderConfigurations: sample_config = config_type.sample_run_config(__distro_dir__="foobarbaz") assert isinstance(sample_config, dict), f"{config_class_name}.sample_run_config() did not return a dict" + + def test_remote_inference_url_standardization(self): + """Verify all remote inference providers use standardized base_url configuration.""" + provider_registry = get_provider_registry() + inference_providers = provider_registry.get("inference", {}) + + # Filter for remote providers only + remote_providers = {k: v for k, v in inference_providers.items() if k.startswith("remote::")} + + failures = [] + for provider_type, provider_spec in remote_providers.items(): + try: + config_class_name = provider_spec.config_class + config_type = instantiate_class_type(config_class_name) + + # Check that config has base_url field (not url) + if hasattr(config_type, "model_fields"): + fields = config_type.model_fields + + # Should NOT have 'url' field (old pattern) + if "url" in fields: + failures.append( + f"{provider_type}: Uses deprecated 'url' field instead of 'base_url'. " + f"Please rename to 'base_url' for consistency." + ) + + # Should have 'base_url' field with HttpUrl | None type + if "base_url" in fields: + field_info = fields["base_url"] + annotation = field_info.annotation + + # Check if it's HttpUrl or HttpUrl | None + # get_origin() returns Union for (X | Y), None for plain types + # get_args() returns the types inside Union, e.g. (HttpUrl, NoneType) + is_valid = False + if get_origin(annotation) is not None: # It's a Union/Optional + if HttpUrl in get_args(annotation): + is_valid = True + elif annotation == HttpUrl: # Plain HttpUrl without | None + is_valid = True + + if not is_valid: + failures.append( + f"{provider_type}: base_url field has incorrect type annotation. " + f"Expected 'HttpUrl | None', got '{annotation}'" + ) + + except Exception as e: + failures.append(f"{provider_type}: Error checking URL standardization: {str(e)}") + + if failures: + pytest.fail("URL standardization violations found:\n" + "\n".join(f" - {f}" for f in failures))