From 79cf3065c12ea18dca0fce93d97502f9d9cf8186 Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 5 Oct 2026 13:44:53 -0400 Subject: [PATCH 1/7] Migrate sample to OGX (Open GenAI Stack) 1.2.5 Migrate this sample from Llama Stack to OGX (Open GenAI Stack) 1.2.5, the upstream rename of Llama Stack. Covers the Python app SDK, the server runtime config, the Backstage/RHDH software template, k8s resource names, and docs. App SDK: replace llama-stack-client/llama-stack with ogx-client==1.2.5. List endpoints now return a response object with a .data list; create endpoints take request objects; files.create takes a str path. Type remaps are aliased to the old names to minimize churn. Add an explicit openai>=2.14.0,<3 dependency (previously transitive) pinned below v3, which drifts the beta.chat.completions.parse surface the code uses. Server + template + infra: rebrand to OGX. Server deps/config move under start-local-ogx/, run.yaml migrates to the OGX 1.2.5 API surface, and k8s/template resources use the -ogx naming and agentic-ogx runtime image. Docs updated. Also bundled: safety check runs via Llama Guard chat instead of /v1/moderations; unknown classification routing renders a graceful prompt instead of an error; the server starts with --insecure. Kept intentionally: env var names LLAMA_STACK_URL / LLAMA_STACK_SERVER_OPENAI (values point at the renamed -ogx service), config key llamastack:, check_llama_stack_availability, and the ollama/llama-guard/.llama data dirs. Template images point at quay.io/redhat-ai-dev/*. 180 unit tests pass; ruff clean. Unit tests are mocked and do not prove runtime correctness against a live OGX server. Co-Authored-By: Claude Opus 4.8 --- .github/workflows/image.yaml | 6 +- .gitignore | 2 +- Containerfile | 14 +- ...ainerfile.llama-stack => Containerfile.ogx | 38 +- README.md | 46 +- all.yaml | 4 +- e2e/API/developer-hub-client.ts | 2 +- e2e/API/types.ts | 2 +- e2e/README.md | 2 +- e2e/package.json | 2 +- e2e/tests/lls-template.test.ts | 10 +- pyproject.toml | 8 +- skeleton/gitops-template/README.md | 8 +- skeleton/gitops-template/catalog-info.yaml | 3 +- .../http/base/configmap-llama-stack-env.yaml | 23 - .../http/base/configmap-ogx-env.yaml | 27 + ...t-llama-stack.yaml => deployment-ogx.yaml} | 35 +- .../components/http/base/deployment.yaml | 4 +- .../components/http/base/kustomization.yaml | 8 +- .../http/base/service-llama-stack.yaml | 20 - .../components/http/base/service-ogx.yaml | 20 + skeleton/techdoc/README.md | 6 +- skeleton/techdoc/docs/index.md | 8 +- src/ingest.py | 34 +- src/methods.py | 102 +- src/responses.py | 28 +- src/utils.py | 8 +- src/workflow.py | 4 +- start-local-llamastack/run.yaml | 119 -- .../pyproject.toml | 24 +- start-local-ogx/run.yaml | 145 ++ .../uv.lock | 1867 +++++++++++------ streamlit_app.py | 12 +- template/docs/application.md | 8 +- template/docs/index.md | 12 +- template/docs/secrets-example.yaml | 10 +- template/docs/template-prerequisites.md | 12 +- template/docs/usage.md | 22 +- template/mkdocs.yml | 2 +- template/template.yaml | 44 +- tests/conftest.py | 9 +- tests/test_ingest.py | 66 +- tests/test_methods.py | 42 +- tests/test_responses.py | 24 +- tests/test_utils.py | 28 +- tests/test_workflow.py | 9 +- uv.lock | 1160 ++-------- 47 files changed, 1998 insertions(+), 2091 deletions(-) rename Containerfile.llama-stack => Containerfile.ogx (62%) delete mode 100644 skeleton/gitops-template/components/http/base/configmap-llama-stack-env.yaml create mode 100644 skeleton/gitops-template/components/http/base/configmap-ogx-env.yaml rename skeleton/gitops-template/components/http/base/{deployment-llama-stack.yaml => deployment-ogx.yaml} (75%) delete mode 100644 skeleton/gitops-template/components/http/base/service-llama-stack.yaml create mode 100644 skeleton/gitops-template/components/http/base/service-ogx.yaml delete mode 100644 start-local-llamastack/run.yaml rename {start-local-llamastack => start-local-ogx}/pyproject.toml (56%) create mode 100644 start-local-ogx/run.yaml rename {start-local-llamastack => start-local-ogx}/uv.lock (61%) diff --git a/.github/workflows/image.yaml b/.github/workflows/image.yaml index bf38f80..957ace4 100644 --- a/.github/workflows/image.yaml +++ b/.github/workflows/image.yaml @@ -1,4 +1,4 @@ -name: CI/CD App, Llama Stack Image Build and Push +name: CI/CD App, OGX Image Build and Push on: push: @@ -23,8 +23,8 @@ jobs: include: - image_name: agentic-sample containerfile: Containerfile - - image_name: agentic-llama-stack - containerfile: Containerfile.llama-stack + - image_name: agentic-ogx + containerfile: Containerfile.ogx steps: - name: Free Disk Space diff --git a/.gitignore b/.gitignore index 368486c..81ccb33 100644 --- a/.gitignore +++ b/.gitignore @@ -31,7 +31,7 @@ ENV/ .env .env.local -# Llama Stack local data +# OGX local data .llama/ # Temporary files diff --git a/Containerfile b/Containerfile index 991a088..0717d34 100644 --- a/Containerfile +++ b/Containerfile @@ -1,4 +1,4 @@ -# Llama Stack Agentic Application Container +# OGX Agentic Application Container # Multi-stage build for smaller, more secure image # ============================================================================= @@ -78,10 +78,10 @@ USER 1001 CMD ["streamlit", "run", "streamlit_app.py", "--server.address=0.0.0.0"] # Labels -LABEL com.redhat.component=llama-stack-agentic-app \ - description="Llama Stack Agentic AI Workflow Application" \ - io.k8s.description="Llama Stack Agentic AI Workflow Application" \ - io.k8s.display-name="Llama Stack Agentic App" \ - io.openshift.tags="ai,llama-stack,streamlit,agents,rag" \ - name=llama-stack-agentic-app \ +LABEL com.redhat.component=ogx-agentic-app \ + description="OGX Agentic AI Workflow Application" \ + io.k8s.description="OGX Agentic AI Workflow Application" \ + io.k8s.display-name="OGX Agentic App" \ + io.openshift.tags="ai,ogx,streamlit,agents,rag" \ + name=ogx-agentic-app \ summary="Streamlit application for agentic AI workflows" \ No newline at end of file diff --git a/Containerfile.llama-stack b/Containerfile.ogx similarity index 62% rename from Containerfile.llama-stack rename to Containerfile.ogx index d193f86..d37da02 100644 --- a/Containerfile.llama-stack +++ b/Containerfile.ogx @@ -1,6 +1,6 @@ -# Llama Stack Server Container +# OGX Server Container # Multi-stage build for smaller, more secure image -# Configuration uses ${env.VAR} syntax - resolved at runtime by Llama Stack +# Configuration uses ${env.VAR} syntax - resolved at runtime by OGX # ============================================================================= # BUILDER STAGE @@ -19,11 +19,12 @@ RUN dnf install -y gcc python3-devel make && \ dnf clean all && \ pip3.12 install uv -# Copy Llama Stack specific dependency specification -COPY ./pyproject.llama-stack.toml ./pyproject.toml +# Copy OGX specific dependency specification +COPY ./start-local-ogx/pyproject.toml ./pyproject.toml +COPY ./start-local-ogx/uv.lock ./uv.lock -# Install Python dependencies -RUN uv sync --no-dev +# Install Python dependencies (deps only; the ogx-server project has no package to build) +RUN uv sync --no-dev --no-install-project # ============================================================================= # RUNTIME STAGE @@ -44,9 +45,9 @@ ENV PYTHONDONTWRITEBYTECODE=1 \ # Copy virtual environment from builder COPY --from=builder --chown=1001:1001 /app-root/.venv ./.venv -# Copy Llama Stack configuration +# Copy OGX configuration # Uses ${env.VAR} syntax - resolved at runtime -COPY --chown=1001:1001 ./run.yaml ./ +COPY --chown=1001:1001 ./start-local-ogx/run.yaml ./ # Create data directories for runtime USER root @@ -58,19 +59,22 @@ RUN mkdir -p /data /data/files && \ RUN mkdir -p /licenses COPY LICENSE /licenses/ -# Expose Llama Stack server port +# Expose OGX server port EXPOSE 8321 USER 1001 # Default command - run.yaml is in /app-root -CMD ["llama", "stack", "run", "/app-root/run.yaml"] +# --insecure: serve plain HTTP. The OGX server is reached only in-cluster +# (app pod -> ogx sidecar on port 8321); no external route is exposed to it. +# OGX 1.2.5+ requires TLS certs otherwise and exits on startup. +CMD ["ogx", "stack", "run", "/app-root/run.yaml", "--insecure"] # Labels -LABEL com.redhat.component=llama-stack-agentic \ - description="Llama Stack Agentic AI Server" \ - io.k8s.description="Llama Stack Agentic AI Server" \ - io.k8s.display-name="Llama Stack Agentic" \ - io.openshift.tags="ai,llama-stack,inference,agents" \ - name=llama-stack-agentic \ - summary="Llama Stack server for agentic AI workflows" +LABEL com.redhat.component=ogx-agentic \ + description="OGX Agentic AI Server" \ + io.k8s.description="OGX Agentic AI Server" \ + io.k8s.display-name="OGX Agentic" \ + io.openshift.tags="ai,ogx,inference,agents" \ + name=ogx-agentic \ + summary="OGX server for agentic AI workflows" diff --git a/README.md b/README.md index 65377c2..898c653 100644 --- a/README.md +++ b/README.md @@ -3,19 +3,19 @@ ![Python 3.13](https://img.shields.io/badge/python-3.13-blue.svg) ![Tests](https://img.shields.io/badge/tests-passing-success.svg) -This AI Agentic application provides a prototype "developer portal" chat interface which employs dynamic, stateful, workflow orchestration via both LangGraph and Llama Stack which takes customer questions and dynamically routes to different AI Agents, and call different agentic tools, based on the user's prompt and how it is classified. +This AI Agentic application provides a prototype "developer portal" chat interface which employs dynamic, stateful, workflow orchestration via both LangGraph and OGX which takes customer questions and dynamically routes to different AI Agents, and call different agentic tools, based on the user's prompt and how it is classified. -When progressing through the orchestration, rather than making any AI Related REST invocations directly against running AI Models, the model interactions all flow back and forth through a locally running Llama Stack instance and its Responses API compatibility layer. +When progressing through the orchestration, rather than making any AI Related REST invocations directly against running AI Models, the model interactions all flow back and forth through a locally running OGX instance and its Responses API compatibility layer. The sections below provide a guide -- for Llama Stack setup and running of the application +- for OGX setup and running of the application - with details on how elements of the application are implemented A hint on what you will find - Use of LangGraph's [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api) -- Use of [OpenAI Moderations](https://platform.openai.com/docs/guides/moderation) provided by Llama Stack's [OpenAI-compatible API endpoint](https://llamastack.github.io/docs/providers/openai) +- Use of [OpenAI Moderations](https://platform.openai.com/docs/guides/moderation) provided by OGX's [OpenAI-compatible API endpoint](https://ogx.github.io/docs/providers/openai) - Use of Red Hat's [Kubernetes MCP Server](https://developers.redhat.com/articles/2025/09/25/kubernetes-mcp-server-ai-powered-cluster-management) - Use of GitHub's [Remote GitHub MCP Server](https://github.com/mcp/github/github-mcp-server) @@ -39,8 +39,8 @@ proved sufficient for providing a model to pass the moderation / guardrail check You can also employ `ollama run llama-guard3:1b --keepalive 60m` for each of those models if ollama is already running. When their startup completes, type `/bye` and the provided prompt to return to your terminal. -We also recommend you find a model that grades well for tool calling, register it with Llama Stack, and set the -`MCP_TOOL_MODEL` environment variable to the model's ID as seen when running `llama_stack_client models list`. +We also recommend you find a model that grades well for tool calling, register it with OGX, and set the +`MCP_TOOL_MODEL` environment variable to the model's ID as seen when running `ogx_client models list`. For maximum flexibility, the application breaks down the use of AI models along these lines: @@ -49,13 +49,13 @@ For maximum flexibility, the application breaks down the use of AI models along In our testing, the following models achieved tolerable performance for both `INFERENCE_MODEL` AND `MCP_TOOL_MODEL`: -- `qwen3-8b-fp8` deployed using OpenShift AI in our local environment, where we leverage the Llama Stack vllm provider -- `gemini-2.5-pro` via the Google public offering, where we leverage the LlamaStack gemini provider. -- `gpt-4o` and `gpt-4o-mini` via the OpenAI public offering, where we leverage the LlamaStack openai provider +- `qwen3-8b-fp8` deployed using OpenShift AI in our local environment, where we leverage the OGX vllm provider +- `gemini-2.5-pro` via the Google public offering, where we leverage the Ogx gemini provider. +- `gpt-4o` and `gpt-4o-mini` via the OpenAI public offering, where we leverage the Ogx openai provider -Visit the [run.yaml file](./run.yaml) for the environment variables leveraged with starting up those Llama Stack providers. +Visit the [run.yaml file](./run.yaml) for the environment variables leveraged with starting up those OGX providers. -### Update your Llama Stack config to access your existing models +### Update your OGX config to access your existing models ### Setup your Virtual Environment @@ -66,16 +66,16 @@ uv sync source .venv/bin/activate ``` -### Run Llama Stack +### Run OGX -We have provided a custom run.yaml file to specify the required providers. Use the following command to run the Llama Stack with the custom configuration file. +We have provided a custom run.yaml file to specify the required providers. Use the following command to run the OGX with the custom configuration file. The snippet below assumes you are in the top directory of your clone of this repository. ``` -cd start-local-llamastack +cd start-local-ogx uv sync source .venv/bin/activate -uv run llama stack run run.yaml +uv run ogx stack run run.yaml ``` ### Launch Kubernetes MCP Server @@ -109,13 +109,13 @@ Lastly, provide your GitHub ID via the `GITHUB_ID` environment variable. The sample will create issues against the repository indicated by `GITHUB_URL` and assign the issue to the ID indicated by `GITHUB_ID`. -### Validate Llama Stack Setup +### Validate OGX Setup Open a new terminal and navigate to the project root directory. Activate your existing virtual environment and use the CLI tool to test your setup. ```bash source .venv/bin/activate -uv run llama-stack-client configure --endpoint http://localhost:8321 --api-key none +uv run ogx-client configure --endpoint http://localhost:8321 --api-key none ``` ## Run the application Code @@ -174,7 +174,7 @@ Three LangGraph `StateGraphs` encompass the orchestration workflow: LangGraph provides various API for printing all the nodes and edges of the `StateGraph` you create. The sample leverages one of those API to print all three `StateGraphs` on startup. -The sample interacts with AI models through Llama Stack's Response API, which provides OpenAI-compatible endpoints for model inference and structured output generation. +The sample interacts with AI models through OGX's Response API, which provides OpenAI-compatible endpoints for model inference and structured output generation. The sample then leverages dictionary based schema and prompting via the `with_structured_output` function call to derive: @@ -188,10 +188,10 @@ Certain nodes throughout the multilayered orchestration will call either: ## MCP Tool calling -The sample uses Llama Stack's OpenAI-compatible API endpoint, specifically the Responses API, to prompt the LLM so that a +The sample uses OGX's OpenAI-compatible API endpoint, specifically the Responses API, to prompt the LLM so that a call to the desired MCP tool is made. -Direct MCP tool calling through Llama Stack's OpenAI Responses API has been successfully implemented in this sample. +Direct MCP tool calling through OGX's OpenAI Responses API has been successfully implemented in this sample. ### Qwen3-8b-fp8 @@ -203,7 +203,7 @@ Specifically: 'error': 'Expecting value: line 1 column 1 (char 0)', 'type': 'invalid_tool_call' ``` -- with the OpenAI Chat Completion API enabled, the 'invoke' or 'ainvoke' call completes without error, but the MCP server is not called, and the Llama Stack server has logs like: +- with the OpenAI Chat Completion API enabled, the 'invoke' or 'ainvoke' call completes without error, but the MCP server is not called, and the OGX server has logs like: ``` INFO 2025-10-19 12:09:39,133 console_span_processor:48 telemetry: @@ -234,9 +234,9 @@ call of the MCP server do appear to occur. content=[{'arguments': '{}', 'call_id': 'call_rpuxUFZg81ON7AdMZS8SUNig', 'name': 'namespaces_list', 'type': 'function_call', 'id': 'fc_7510dc25-e069-4990-b1c0-4c5891af8f98', 'status': 'completed'}] additional_kwargs={} response_metadata={'id': 'resp-25a423e0-b893-4662-a1ae-08570175afae', 'created_at': 1761497399.0, 'model': 'openai/gpt-4o', 'object': 'response', 'status': 'completed', 'model_provider': 'openai', 'model_name': 'openai/gpt-4o'} id='resp-25a423e0-b893-4662-a1ae-08570175afae' tool_calls=[{'name': 'namespaces_list', 'args': {}, 'id': 'call_rpuxUFZg81ON7AdMZS8SUNig', 'type': 'tool_call'}] ``` -In addition to running through Llama Stack, an attempt was also made to run against [https://api.openai.com/v1/responses](https://api.openai.com/v1/responses) directly, +In addition to running through OGX, an attempt was also made to run against [https://api.openai.com/v1/responses](https://api.openai.com/v1/responses) directly, but again without success. ## Safety / Guardrails -This sample uses Llama Stack's OpenAI Moderations API for content safety and guardrails. The moderations API provides built-in checks that work with models like `ollama/llama-guard3:8b` to flag inappropriate content and ensure safe interactions. +This sample uses OGX's OpenAI Moderations API for content safety and guardrails. The moderations API provides built-in checks that work with models like `ollama/llama-guard3:8b` to flag inappropriate content and ensure safe interactions. diff --git a/all.yaml b/all.yaml index c96be53..f1f48bf 100644 --- a/all.yaml +++ b/all.yaml @@ -1,8 +1,8 @@ apiVersion: backstage.io/v1alpha1 kind: Location metadata: - name: llama-stack-agentic-all - description: Llama Stack Agentic Sample + name: ogx-agentic-all + description: OGX Agentic Sample spec: targets: - ./template/template.yaml diff --git a/e2e/API/developer-hub-client.ts b/e2e/API/developer-hub-client.ts index fd236b5..c8784fe 100644 --- a/e2e/API/developer-hub-client.ts +++ b/e2e/API/developer-hub-client.ts @@ -90,7 +90,7 @@ export class DeveloperHubClient { githubServer: options.githubServer, repoOwner: options.repoOwner, repoName: options.repoName, - llamaStackSecretName: options.llamaStackSecretName, + ogxSecretName: options.ogxSecretName, platformCredentialsSecretName: options.platformCredentialsSecretName, secretsAcknowledgment: options.secretsAcknowledgment, namespace: options.namespace, diff --git a/e2e/API/types.ts b/e2e/API/types.ts index 9b8a333..6e1713e 100644 --- a/e2e/API/types.ts +++ b/e2e/API/types.ts @@ -17,7 +17,7 @@ export interface LlsTemplateValues { githubServer: string repoOwner: string repoName: string - llamaStackSecretName: string + ogxSecretName: string platformCredentialsSecretName: string secretsAcknowledgment: boolean namespace: string, diff --git a/e2e/README.md b/e2e/README.md index dc5b81b..6625558 100644 --- a/e2e/README.md +++ b/e2e/README.md @@ -1,4 +1,4 @@ -# E2E tests for llama stack agentic template +# E2E tests for ogx agentic template Basic test suite that to verify the lls agentic app template runs and creates the appropriate resources. diff --git a/e2e/package.json b/e2e/package.json index ba968f8..8bf0666 100644 --- a/e2e/package.json +++ b/e2e/package.json @@ -1,7 +1,7 @@ { "name": "e2e-tests", "version": "1.0.0", - "description": "llama-stack template E2E tests", + "description": "ogx template E2E tests", "author": "Red Hat", "scripts": { "test": "jest --config=jest.config.ts" diff --git a/e2e/tests/lls-template.test.ts b/e2e/tests/lls-template.test.ts index 1629c7b..8def5d8 100644 --- a/e2e/tests/lls-template.test.ts +++ b/e2e/tests/lls-template.test.ts @@ -4,13 +4,13 @@ import { KubeClient } from '../API/k8s-client'; import { LlsTemplateValues } from '../API/types'; import { GitHubClient } from '../API/git-client'; -describe('Llama stack agentic sample template', () => { +describe('OGX agentic sample template', () => { const templateUrl = 'https://github.com/redhat-developer/rhdh-llama-stack-agentic-sample/blob/main/template/template.yaml'; const namespace = process.env.APP_NAMESPACE || 'rhdh-app'; - const templateName = 'llama-stack-agentic'; + const templateName = 'ogx-agentic'; const appName = `lls-test-${Date.now()}`; - const llsSecret = 'llama-stack-secrets'; + const llsSecret = 'ogx-secrets'; const platformSecret = 'platform-credentials'; const defaultRepo = `https://github.com/${process.env.GITOPS_GIT_ORG}/${appName}`; @@ -27,7 +27,7 @@ describe('Llama stack agentic sample template', () => { imageOrg: process.env.IMAGE_ORG || 'rhdh-pai-qe', imageRegistry: 'quay.io', inferenceModel: process.env.INFERENCE_MODEL || 'vllm/redhataiqwen3-8b-fp8-dynamic', - llamaStackSecretName: llsSecret, + ogxSecretName: llsSecret, mcpToolModel: process.env.MCP_MODEL || 'vllm/redhataiqwen3-8b-fp8-dynamic', name: appName, namespace: namespace, @@ -112,7 +112,7 @@ describe('Llama stack agentic sample template', () => { const names = deployments.flatMap((deployment) => deployment.metadata?.name); expect(names).toContain(templateValues.name); - expect(names).toContain(`${templateValues.name}-llama-stack`); + expect(names).toContain(`${templateValues.name}-ogx`); expect(names).toContain(`${templateValues.name}-mcp-server`); expect(names).toContain(`${templateValues.name}-ollama`); }); diff --git a/pyproject.toml b/pyproject.toml index 8fc1ab9..4d3254a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,13 +1,15 @@ [project] name = "rhdh-llama-stack-agentic-sample" version = "0.1.0" -description = "Llama-Stack LangGraph Customer Service Example" +description = "OGX LangGraph Customer Service Example" readme = "README.md" requires-python = ">=3.12" dependencies = [ "docling>=2.63.0", - "llama-stack-client>=0.3.1", - "llama-stack>=0.3.1", + # Python SDK used to call the OGX (Open GenAI Stack) server APIs. + "ogx-client==1.2.5", + # OpenAI SDK used for the Responses/Chat/Moderations compatibility endpoints. + "openai>=2.14.0,<3", "pygithub>=2.8.1", "pyyaml>=6.0.3", "langgraph>=1.0.4", diff --git a/skeleton/gitops-template/README.md b/skeleton/gitops-template/README.md index 299dee9..4d66b12 100644 --- a/skeleton/gitops-template/README.md +++ b/skeleton/gitops-template/README.md @@ -1,6 +1,6 @@ # πŸ“¦ ${{ values.name }}-gitops -> **GitOps Repository** β€” Kubernetes manifests and ArgoCD configuration for the Llama Stack Agentic AI Workflow +> **GitOps Repository** β€” Kubernetes manifests and ArgoCD configuration for the OGX Agentic AI Workflow --- @@ -25,7 +25,7 @@ This repository contains the GitOps deployment manifests for **${{ values.name } components/${{ values.name }}/ β”œβ”€β”€ base/ # Base Kubernetes manifests β”‚ β”œβ”€β”€ deployment.yaml # Streamlit UI deployment -β”‚ β”œβ”€β”€ deployment-llama-stack.yaml +β”‚ β”œβ”€β”€ deployment-ogx.yaml β”‚ β”œβ”€β”€ deployment-ollama.yaml β”‚ β”œβ”€β”€ deployment-mcp-server.yaml β”‚ β”œβ”€β”€ service*.yaml # Service definitions @@ -49,7 +49,7 @@ This GitOps repository deploys the following resources: | Resource | Name | Description | |----------|------|-------------| | πŸ–₯️ **Deployment** | `${{ values.name }}` | Streamlit UI application | -| πŸ¦™ **Deployment** | `${{ values.name }}-llama-stack` | Llama Stack inference server | +| πŸ¦™ **Deployment** | `${{ values.name }}-ogx` | OGX inference server | | πŸ¦™ **Deployment** | `${{ values.name }}-ollama` | Ollama for safety/guardrails | | ☸️ **Deployment** | `${{ values.name }}-mcp-server` | Kubernetes MCP Server | | 🌐 **Services** | Various | Internal service networking | @@ -87,7 +87,7 @@ This GitOps repository deploys the following resources: ## 🀝 Contribute to the Template -This GitOps repository was generated from the **Llama Stack Agentic AI Workflow** Software Template. +This GitOps repository was generated from the **OGX Agentic AI Workflow** Software Template. Want to improve the template, report issues, or contribute new features? Visit the upstream repository: diff --git a/skeleton/gitops-template/catalog-info.yaml b/skeleton/gitops-template/catalog-info.yaml index b94f7af..f19086d 100644 --- a/skeleton/gitops-template/catalog-info.yaml +++ b/skeleton/gitops-template/catalog-info.yaml @@ -12,8 +12,7 @@ metadata: # ArgoCD apps from this template used rhtap-gitops as the grouping argocd/app-selector: rhtap/gitops=${{ values.name }} janus-idp.io/tekton: ${{ values.name }} - backstage.io/kubernetes-id: ${{ values.name }} - backstage.io/techdocs-ref: dir:. + backstage.io/kubernetes-id: ${{ values.name }} spec: type: gitops owner: ${{ values.owner }} diff --git a/skeleton/gitops-template/components/http/base/configmap-llama-stack-env.yaml b/skeleton/gitops-template/components/http/base/configmap-llama-stack-env.yaml deleted file mode 100644 index 3affeab..0000000 --- a/skeleton/gitops-template/components/http/base/configmap-llama-stack-env.yaml +++ /dev/null @@ -1,23 +0,0 @@ -# Llama Stack Environment Variables ConfigMap -# Contains non-sensitive configuration values from the template. -# These are injected as environment variables into the Llama Stack container. -apiVersion: v1 -kind: ConfigMap -metadata: - annotations: - argocd.argoproj.io/sync-wave: "1" - name: ${{ values.name }}-llama-stack-env - labels: - app.kubernetes.io/instance: ${{ values.name }} - app.kubernetes.io/managed-by: kustomize - app.kubernetes.io/name: ${{ values.name }}-llama-stack-env - app.kubernetes.io/component: llama-stack -data: - # vLLM Server URL - VLLM_URL: "${{ values.vllmUrl }}" - - # Ollama Server URL (points to deployed Ollama service) - OLLAMA_URL: "http://${{ values.name }}-ollama:11434" - - # Safety Model for guardrails - SAFETY_MODEL: "${{ values.safetyModel }}" diff --git a/skeleton/gitops-template/components/http/base/configmap-ogx-env.yaml b/skeleton/gitops-template/components/http/base/configmap-ogx-env.yaml new file mode 100644 index 0000000..e28a743 --- /dev/null +++ b/skeleton/gitops-template/components/http/base/configmap-ogx-env.yaml @@ -0,0 +1,27 @@ +# OGX Environment Variables ConfigMap +# Contains non-sensitive configuration values from the template. +# These are injected as environment variables into the OGX container. +apiVersion: v1 +kind: ConfigMap +metadata: + annotations: + argocd.argoproj.io/sync-wave: "1" + name: ${{ values.name }}-ogx-env + labels: + app.kubernetes.io/instance: ${{ values.name }} + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/name: ${{ values.name }}-ogx-env + app.kubernetes.io/component: ogx +data: + # vLLM Server URL + # OGX 1.2.5 reaches vLLM/Ollama through the OpenAI-compatible inference + # mixin, which appends /models and /chat/completions to this base URL, so it + # must end in /v1. Make sure the vllmUrl value provided at scaffold time ends + # in /v1. + VLLM_URL: "${{ values.vllmUrl }}" + + # Ollama Server URL (points to deployed Ollama service) + OLLAMA_URL: "http://${{ values.name }}-ollama:11434/v1" + + # Safety Model for guardrails + SAFETY_MODEL: "${{ values.safetyModel }}" diff --git a/skeleton/gitops-template/components/http/base/deployment-llama-stack.yaml b/skeleton/gitops-template/components/http/base/deployment-ogx.yaml similarity index 75% rename from skeleton/gitops-template/components/http/base/deployment-llama-stack.yaml rename to skeleton/gitops-template/components/http/base/deployment-ogx.yaml index 047aa09..eeef05d 100644 --- a/skeleton/gitops-template/components/http/base/deployment-llama-stack.yaml +++ b/skeleton/gitops-template/components/http/base/deployment-ogx.yaml @@ -1,4 +1,4 @@ -# Llama Stack Server Deployment +# OGX Server Deployment # run.yaml is baked into the image - env vars override config at runtime apiVersion: apps/v1 kind: Deployment @@ -6,35 +6,40 @@ metadata: annotations: argocd.argoproj.io/sync-wave: "2" labels: - app.kubernetes.io/instance: ${{ values.name }}-llama-stack + app.kubernetes.io/instance: ${{ values.name }}-ogx app.kubernetes.io/managed-by: kustomize - app.kubernetes.io/name: ${{ values.name }}-llama-stack + app.kubernetes.io/name: ${{ values.name }}-ogx app.kubernetes.io/part-of: ${{ values.name }} - app.kubernetes.io/component: llama-stack - name: ${{ values.name }}-llama-stack + app.kubernetes.io/component: ogx + name: ${{ values.name }}-ogx spec: replicas: 1 + # Recreate (not the default RollingUpdate) because the demo cluster is small + # and near capacity: a rolling update's surge pod cannot be scheduled and the + # rollout deadlocks. Recreate terminates the old pod before starting the new. + strategy: + type: Recreate selector: matchLabels: - app.kubernetes.io/instance: ${{ values.name }}-llama-stack + app.kubernetes.io/instance: ${{ values.name }}-ogx template: metadata: labels: - app.kubernetes.io/instance: ${{ values.name }}-llama-stack - app.kubernetes.io/component: llama-stack + app.kubernetes.io/instance: ${{ values.name }}-ogx + app.kubernetes.io/component: ogx spec: containers: - - name: llama-stack + - name: ogx # Image with run.yaml baked in - image: ${{ values.llamaStackContainer }} + image: ${{ values.ogxContainer }} imagePullPolicy: Always envFrom: # Non-sensitive config from template (URLs, model names) - configMapRef: - name: ${{ values.name }}-llama-stack-env + name: ${{ values.name }}-ogx-env # Sensitive config from user-created secret (API keys) - secretRef: - name: ${{ values.llamaStackSecretName }} + name: ${{ values.ogxSecretName }} optional: false env: # Explicitly set provider URLs and keys (also in ConfigMap/Secret via envFrom, @@ -42,17 +47,17 @@ spec: - name: VLLM_URL valueFrom: configMapKeyRef: - name: ${{ values.name }}-llama-stack-env + name: ${{ values.name }}-ogx-env key: VLLM_URL - name: VLLM_API_KEY valueFrom: secretKeyRef: - name: ${{ values.llamaStackSecretName }} + name: ${{ values.ogxSecretName }} key: VLLM_API_KEY - name: OLLAMA_URL valueFrom: configMapKeyRef: - name: ${{ values.name }}-llama-stack-env + name: ${{ values.name }}-ogx-env key: OLLAMA_URL # Override paths for container environment - name: KV_SQL_STORE_DIR diff --git a/skeleton/gitops-template/components/http/base/deployment.yaml b/skeleton/gitops-template/components/http/base/deployment.yaml index 9d307a4..820ca74 100644 --- a/skeleton/gitops-template/components/http/base/deployment.yaml +++ b/skeleton/gitops-template/components/http/base/deployment.yaml @@ -47,9 +47,9 @@ spec: value: "/tmp/.cache/huggingface" # Service URLs - name: LLAMA_STACK_URL - value: "http://${{ values.name }}-llama-stack:8321" + value: "http://${{ values.name }}-ogx:8321" - name: LLAMA_STACK_SERVER_OPENAI - value: "http://${{ values.name }}-llama-stack:8321/v1/openai/v1" + value: "http://${{ values.name }}-ogx:8321/v1/openai/v1" - name: MCP_SERVER_URL value: "http://${{ values.name }}-mcp-server:8080/mcp" ports: diff --git a/skeleton/gitops-template/components/http/base/kustomization.yaml b/skeleton/gitops-template/components/http/base/kustomization.yaml index a55afb0..afc3755 100644 --- a/skeleton/gitops-template/components/http/base/kustomization.yaml +++ b/skeleton/gitops-template/components/http/base/kustomization.yaml @@ -12,11 +12,11 @@ resources: - rbac-mcp-server.yaml # ConfigMaps (run.yaml and ingestion-config.yaml are baked into images) - configmap-app.yaml - - configmap-llama-stack-env.yaml + - configmap-ogx-env.yaml # NOTE: Secrets are user-managed - see TechDocs for example - # Llama Stack Server - - deployment-llama-stack.yaml - - service-llama-stack.yaml + # OGX Server + - deployment-ogx.yaml + - service-ogx.yaml # Kubernetes MCP Server - deployment-mcp-server.yaml - service-mcp-server.yaml diff --git a/skeleton/gitops-template/components/http/base/service-llama-stack.yaml b/skeleton/gitops-template/components/http/base/service-llama-stack.yaml deleted file mode 100644 index 934c171..0000000 --- a/skeleton/gitops-template/components/http/base/service-llama-stack.yaml +++ /dev/null @@ -1,20 +0,0 @@ -# Service for Llama Stack Server -apiVersion: v1 -kind: Service -metadata: - annotations: - argocd.argoproj.io/sync-wave: "2" - labels: - app.kubernetes.io/instance: ${{ values.name }}-llama-stack - app.kubernetes.io/managed-by: kustomize - app.kubernetes.io/name: ${{ values.name }}-llama-stack - name: ${{ values.name }}-llama-stack -spec: - ports: - - port: 8321 - protocol: TCP - targetPort: 8321 - name: http - selector: - app.kubernetes.io/instance: ${{ values.name }}-llama-stack - diff --git a/skeleton/gitops-template/components/http/base/service-ogx.yaml b/skeleton/gitops-template/components/http/base/service-ogx.yaml new file mode 100644 index 0000000..0f08f33 --- /dev/null +++ b/skeleton/gitops-template/components/http/base/service-ogx.yaml @@ -0,0 +1,20 @@ +# Service for OGX Server +apiVersion: v1 +kind: Service +metadata: + annotations: + argocd.argoproj.io/sync-wave: "2" + labels: + app.kubernetes.io/instance: ${{ values.name }}-ogx + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/name: ${{ values.name }}-ogx + name: ${{ values.name }}-ogx +spec: + ports: + - port: 8321 + protocol: TCP + targetPort: 8321 + name: http + selector: + app.kubernetes.io/instance: ${{ values.name }}-ogx + diff --git a/skeleton/techdoc/README.md b/skeleton/techdoc/README.md index 66e675c..228e5fc 100644 --- a/skeleton/techdoc/README.md +++ b/skeleton/techdoc/README.md @@ -1,6 +1,6 @@ # πŸ¦™ ${{ values.name }} -> **Llama Stack Agentic AI Workflow** β€” An intelligent multi-agent chat application powered by LangGraph, Llama Stack, and MCP +> **OGX Agentic AI Workflow** β€” An intelligent multi-agent chat application powered by LangGraph, OGX, and MCP --- @@ -55,7 +55,7 @@ This application is deployed automatically via GitOps. To make changes: ## πŸ› οΈ Tech Stack - **Frontend**: Streamlit -- **AI Framework**: Llama Stack + LangGraph +- **AI Framework**: OGX + LangGraph - **Vector Store**: FAISS - **Inference**: vLLM / OpenAI - **Safety**: Ollama (Llama Guard) @@ -66,7 +66,7 @@ This application is deployed automatically via GitOps. To make changes: ## 🀝 Contribute to the Template -This application was generated from the **Llama Stack Agentic AI Workflow** Software Template. +This application was generated from the **OGX Agentic AI Workflow** Software Template. Want to improve the template, report issues, or contribute new features? Visit the upstream repository: diff --git a/skeleton/techdoc/docs/index.md b/skeleton/techdoc/docs/index.md index 6333c63..b94e2e0 100644 --- a/skeleton/techdoc/docs/index.md +++ b/skeleton/techdoc/docs/index.md @@ -1,6 +1,6 @@ # **Introduction** -Congratulations! You deployed a **Llama Stack Agentic AI Workflow** application from a Software Template. The template has created a new source code repository for the application code, as well as a new GitOps deployment repository to handle deployment related tasks. +Congratulations! You deployed a **OGX Agentic AI Workflow** application from a Software Template. The template has created a new source code repository for the application code, as well as a new GitOps deployment repository to handle deployment related tasks. !!! info @@ -10,7 +10,7 @@ Congratulations! You deployed a **Llama Stack Agentic AI Workflow** application # **What This Application Does** -The Llama Stack Agentic application is an intelligent chat interface that: +The OGX Agentic application is an intelligent chat interface that: 1. **Classifies User Questions** - Dynamically routes queries to specialized AI Agents 2. **Multi-Agent Orchestration** - Employs specialized agents for: @@ -51,7 +51,7 @@ This template deploys four interconnected services: | Component | Port | Description | |-----------|------|-------------| | **Streamlit UI** | 8501 | Interactive chat interface | -| **Llama Stack Server** | 8321 | AI inference orchestration | +| **OGX Server** | 8321 | AI inference orchestration | | **Ollama** | 11434 | Local LLM inference engine | | **Kubernetes MCP Server** | 8080 | Cluster introspection tools | @@ -68,7 +68,7 @@ The application uses the following configuration: | `GITHUB_TOKEN` | GitHub integration | OpenShift/Kubernetes Secret | | `GITHUB_URL` | Target repository for GitHub MCP Tool | Software Template Form | -The Llama Stack server uses the following configuration: +The OGX server uses the following configuration: | Variable | Description | User Input | |----------|-------------|------------| diff --git a/src/ingest.py b/src/ingest.py index 32c8aba..9176d1b 100644 --- a/src/ingest.py +++ b/src/ingest.py @@ -4,7 +4,6 @@ import sys import tempfile import time -from pathlib import Path from typing import Any, cast import requests @@ -16,8 +15,11 @@ from github import Auth, Github from github.ContentFile import ContentFile from github.Repository import Repository -from llama_stack_client import LlamaStackClient -from llama_stack_client.types.file import File +from ogx_client import OgxClient, OpenAIAttachFileRequest +from ogx_client import ( + OpenAICreateVectorStoreRequestWithExtraBody as CreateVectorStoreRequest, +) +from ogx_client import OpenAIFileObject as File from src.constants import ( DEFAULT_CHUNK_SIZE_IN_TOKENS, @@ -219,7 +221,7 @@ def _initialize_llama_stack_client( self, max_retries: "int" = DEFAULT_LLAMA_STACK_WAITING_RETRIES, retry_delay: "int" = DEFAULT_LLAMA_STACK_RETRY_DELAY, - ) -> "LlamaStackClient": + ) -> "OgxClient": logger.debug( f"Connecting Llama Stack Client to Server at {self.llama_stack_url}..." ) @@ -229,7 +231,7 @@ def _initialize_llama_stack_client( if result["connected"]: logger.debug("Llama Stack Client connected successfully!") - return LlamaStackClient(base_url=self.llama_stack_url) + return OgxClient(base_url=self.llama_stack_url) if attempt < max_retries - 1: logger.info( @@ -479,7 +481,7 @@ def _process_single_document( tmp_file.write(cleaned_text) file_create_response = self.client.files.create( - file=Path(tmp_file_path), purpose="assistants" + file=str(tmp_file_path), purpose="assistants" ) file_id = file_create_response.id @@ -538,9 +540,9 @@ def _insert_single_document( inserts a single document into vector store and checks status """ try: - file_ingest_response = self.client.vector_stores.files.create( + file_ingest_response = self.client.vector_stores_files.create( vector_store_id=vector_store_id, - file_id=doc.id, + open_ai_attach_file_request=OpenAIAttachFileRequest(file_id=doc.id), ) # check the actual status of the insertion @@ -602,7 +604,8 @@ async def create_vector_db( # call to a separate thread so the asyncio (event) loop keeps # running. vector_store = await asyncio.to_thread( - self.client.vector_stores.create, name=vector_store_name + self.client.vector_stores.create, + CreateVectorStoreRequest(name=vector_store_name), ) self.vector_store_ids.append(vector_store.id) except Exception as e: @@ -614,8 +617,8 @@ async def create_vector_db( # vector store exists, find it by name to get its ID # to continue ingestion - vector_stores = await asyncio.to_thread(self.client.vector_stores.list) - for vs in vector_stores or []: + vs_resp = await asyncio.to_thread(self.client.vector_stores.list) + for vs in (vs_resp.data if vs_resp else []): if vs.name == vector_store_name: vector_store = vs break @@ -631,11 +634,14 @@ async def create_vector_db( # when multiple parallel sessions race to populate the same store. # TODO: investigate more robust approaches try: - existing_files = await asyncio.to_thread( - self.client.vector_stores.files.list, + existing_files_resp = await asyncio.to_thread( + self.client.vector_stores_files.list, vector_store_id=vector_store.id, ) - if existing_files and len(list(existing_files)) > 0: + existing_files = ( + existing_files_resp.data if existing_files_resp else [] + ) + if existing_files and len(existing_files) > 0: logger.info( f"Vector store '{vector_store_name}' already has files, " f"skipping document insertion" diff --git a/src/methods.py b/src/methods.py index fa91eeb..38d00cf 100644 --- a/src/methods.py +++ b/src/methods.py @@ -2,7 +2,7 @@ import time from typing import Any, cast -from llama_stack_client.types import ResponseObject +from ogx_client import OpenAIResponseObject as ResponseObject from openai import OpenAI from openai.types.chat import ChatCompletionUserMessageParam @@ -15,6 +15,64 @@ # MCP Server URL - read from environment or use default MCP_SERVER_URL = os.environ.get("MCP_SERVER_URL", DEFAULT_MCP_SERVER_URL) +# Llama Guard 3 hazard taxonomy: maps the S-codes the model emits to +# human-readable category names. OGX 1.2.5 removed the server-side +# /v1/moderations endpoint, so the guardrail runs the configured guard model +# (e.g. ollama/llama-guard3:8b) directly via chat completions instead. +LLAMA_GUARD_CATEGORIES = { + "S1": "Violent Crimes", + "S2": "Non-Violent Crimes", + "S3": "Sex-Related Crimes", + "S4": "Child Sexual Exploitation", + "S5": "Defamation", + "S6": "Specialized Advice", + "S7": "Privacy", + "S8": "Intellectual Property", + "S9": "Indiscriminate Weapons", + "S10": "Hate", + "S11": "Suicide & Self-Harm", + "S12": "Sexual Content", + "S13": "Elections", + "S14": "Code Interpreter Abuse", +} + + +def run_guardrail( + openai_client: "OpenAI", guardrail_model: str, text: str +) -> "tuple[bool, list[str]]": + """Screen text for unsafe content with a Llama Guard chat model. + + OGX 1.2.5 no longer serves an OpenAI-compatible /v1/moderations endpoint, + so instead of ``openai_client.moderations.create()`` the text is sent to the + guard model as a chat completion. Llama Guard replies with ``safe`` or + ``unsafe`` followed by a newline and the violated S-codes (e.g. ``S1,S10``). + + Returns a ``(flagged, categories)`` tuple where ``categories`` holds the + human-readable names of the violated hazard categories. + """ + guard_messages: "list[ChatCompletionUserMessageParam]" = [ + cast( + ChatCompletionUserMessageParam, + {"role": "user", "content": text}, + ) + ] + guard_completion = openai_client.chat.completions.create( + model=guardrail_model, + messages=guard_messages, + ) + verdict = (guard_completion.choices[0].message.content or "").strip() + if not verdict.lower().startswith("unsafe"): + return False, [] + + # The line after "unsafe" lists the violated S-codes, if any. + codes_line = verdict.split("\n", 1)[1].strip() if "\n" in verdict else "" + categories = [ + LLAMA_GUARD_CATEGORIES.get(code.strip(), code.strip()) + for code in codes_line.split(",") + if code.strip() + ] + return True, categories + def classification_agent( state: "WorkflowState", @@ -55,25 +113,17 @@ def classification_agent( ) # checking if the input is safe - safety_response = openai_client.moderations.create( - model=guardrail_model, input=str(state["input"]) + flagged, flagged_categories = run_guardrail( + openai_client, guardrail_model, str(state["input"]) ) - for moderation in safety_response.results: - if not moderation.flagged: - continue - + if flagged: logger.info( - f"Classification result: '{state['input']}' is flagged as '{moderation}'" + f"Classification result: '{state['input']}' is flagged as unsafe " + f"for: {flagged_categories}" ) state["decision"] = "unsafe" state["data"] = state["input"] - model_extra = moderation.categories.model_extra - flagged_categories = [ - key - for key, value in (model_extra.items() if model_extra else []) - if value is True - ] categories_str = ", ".join(flagged_categories) state["classification_message"] = ( f"Classification result: '{state['input']}' " @@ -114,7 +164,11 @@ def classification_agent( logger.error("Failed to get structured response from the model.") state["decision"] = "unknown" state["data"] = state["input"] - state["classification_message"] = "Unable to determine request type." + state["classification_message"] = ( + "I couldn't match your request to a department. Try rephrasing " + "with a specific topic β€” for example legal, HR, sales, " + "procurement, or technical support." + ) state["workflow_complete"] = True return state @@ -133,7 +187,11 @@ def classification_agent( ) state["decision"] = "unknown" state["data"] = state["input"] - state["classification_message"] = "Unable to determine request type." + state["classification_message"] = ( + "I couldn't match your request to a department. Try rephrasing " + "with a specific topic β€” for example legal, HR, sales, " + "procurement, or technical support." + ) state["workflow_complete"] = True return state @@ -151,6 +209,18 @@ def classification_agent( state["decision"] = classification_result.classification state["data"] = state["input"] + # The model can legitimately classify a request as 'unknown' when it does + # not fit any department. Surface this as a friendly, actionable prompt + # instead of a generic error so the UI renders the graceful "Unable to + # Process" path rather than "An error occurred." + if classification_result.classification == "unknown": + state["classification_message"] = ( + "I couldn't match your request to a department. Try rephrasing with " + "a specific topic β€” for example legal, HR, sales, procurement, or " + "technical support." + ) + state["workflow_complete"] = True + agent_end_time = time.time() state["agent_timings"]["Classification"] = agent_end_time - agent_start_time diff --git a/src/responses.py b/src/responses.py index 0ab7ee9..1f40aa6 100644 --- a/src/responses.py +++ b/src/responses.py @@ -2,10 +2,10 @@ import os from typing import Any -from llama_stack_client import LlamaStackClient -from llama_stack_client.types import ResponseObject -from llama_stack_client.types.response_list_response import ( - OutputOpenAIResponseOutputMessageFileSearchToolCallResult as FileSearchToolCallResult, # noqa +from ogx_client import OgxClient +from ogx_client import OpenAIResponseObject as ResponseObject +from ogx_client import ( + OpenAIResponseOutputMessageFileSearchToolCallResults as FileSearchToolCallResult, # noqa ) from openai import OpenAI @@ -33,7 +33,7 @@ def __init__( file_metadata_path: "str | None" = None, ) -> "None": self.llama_stack_url = llama_stack_url - self.client: "LlamaStackClient | None" = None + self.client: "OgxClient | None" = None self.openai_client: "OpenAI | None" = None self.vector_store_map: "dict[str, list[str]]" = {} self.all_vector_store_ids: "list[str]" = [] @@ -104,7 +104,10 @@ def _validate_and_regenerate_metadata(self) -> "None": for category, vs_ids in self.vector_store_map.items(): for vs_id in vs_ids: try: - files = self.client.vector_stores.files.list(vector_store_id=vs_id) + files_resp = self.client.vector_stores_files.list( + vector_store_id=vs_id + ) + files = files_resp.data if files_resp else [] if not files: continue for file_info in files: @@ -285,7 +288,7 @@ def initialize(self) -> "bool": initializes the Llama Stack client and load vector stores. """ try: - self.client = LlamaStackClient(base_url=self.llama_stack_url) + self.client = OgxClient(base_url=self.llama_stack_url) self.client.models.list() logger.info("RAG Service: Llama Stack client initialized successfully") @@ -334,7 +337,8 @@ def check_vector_stores_exist(self, pipelines: "list[Pipeline]") -> "bool": logger.warning("RAG Service: No enabled pipelines found") return False - vector_stores = self.client.vector_stores.list() or [] + vs_resp = self.client.vector_stores.list() + vector_stores = vs_resp.data if vs_resp else [] existing_stores = set() for vs in vector_stores: vs_name = vs.name.lower() if vs.name else vs.id.lower() @@ -361,7 +365,8 @@ def load_vector_stores(self) -> "bool": logger.error("RAG Service: Client not initialized") return False - vector_stores = self.client.vector_stores.list() or [] + vs_resp = self.client.vector_stores.list() + vector_stores = vs_resp.data if vs_resp else [] vector_store_list = list(vector_stores) if not vector_stores or len(vector_store_list) == 0: @@ -531,7 +536,10 @@ def _get_files_from_vector_store(self, category: "str") -> "list[dict[str, str]] for vs_id in vector_store_ids: try: - files = self.client.vector_stores.files.list(vector_store_id=vs_id) + files_resp = self.client.vector_stores_files.list( + vector_store_id=vs_id + ) + files = files_resp.data if files_resp else [] except Exception as e: logger.debug(f"Could not list files for vector store {vs_id}: {e}") continue diff --git a/src/utils.py b/src/utils.py index cf9b226..dbeb978 100644 --- a/src/utils.py +++ b/src/utils.py @@ -4,8 +4,8 @@ import threading from typing import Any -from llama_stack_client import LlamaStackClient -from llama_stack_client.types import ResponseObject +from ogx_client import OgxClient +from ogx_client import OpenAIResponseObject as ResponseObject from typing_extensions import Literal from src.types import WorkflowState @@ -207,7 +207,7 @@ def check_llama_stack_availability( } try: - client = LlamaStackClient(base_url=base_url) + client = OgxClient(base_url=base_url) models_response = client.models.list() result["connected"] = True @@ -216,7 +216,7 @@ def check_llama_stack_availability( available_model_ids = set() if models_response: - for model in models_response: + for model in models_response.data: model_id = getattr(model, "identifier", None) or getattr( model, "id", None ) diff --git a/src/workflow.py b/src/workflow.py index e028bab..9aa16c2 100644 --- a/src/workflow.py +++ b/src/workflow.py @@ -3,7 +3,7 @@ from typing import Any, cast from langgraph.graph import START, StateGraph -from llama_stack_client.types import ResponseObject +from ogx_client import OpenAIResponseObject as ResponseObject from src.constants import ( DEFAULT_INFERENCE_MODEL, @@ -211,10 +211,10 @@ def llm_node(state: "WorkflowState") -> "WorkflowState": rag_end_time = time.time() state["rag_query_time"] = rag_end_time - rag_start_time - response_text = extract_rag_response_text(rag_response) rag_response_obj: "ResponseObject" = cast( ResponseObject, rag_response ) + response_text = extract_rag_response_text(rag_response_obj) if rag_category: sources = self.rag_service.extract_sources_from_response( diff --git a/start-local-llamastack/run.yaml b/start-local-llamastack/run.yaml deleted file mode 100644 index fc359f2..0000000 --- a/start-local-llamastack/run.yaml +++ /dev/null @@ -1,119 +0,0 @@ -version: 2 -image_name: llama-stack-examples - -apis: -- agents -- inference -- safety -- tool_runtime -- vector_io -- files -- vector_stores - -providers: - inference: - - provider_id: ollama - provider_type: remote::ollama - config: - url: ${env.OLLAMA_URL:=http://localhost:11434} - - provider_id: vllm - provider_type: remote::vllm - config: - url: ${env.VLLM_URL} - api_token: ${env.VLLM_API_KEY} - max_tokens: 4096 - tsl_verify: false - # - provider_id: gemini - # provider_type: remote::gemini - # config: - # api_key: ${env.GEMINI_API_KEY:=} - - provider_id: openai - provider_type: remote::openai - config: - api_key: ${env.OPENAI_API_KEY:=} - base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1} - safety: - - provider_id: llama-guard - provider_type: inline::llama-guard - config: - excluded_categories: [] - tool_runtime: - - provider_id: model-context-protocol - provider_type: remote::model-context-protocol - config: {} - - provider_id: rag-runtime - provider_type: inline::rag-runtime - config: {} - agents: - - provider_id: meta-reference - provider_type: inline::meta-reference - config: - persistence: - agent_state: - backend: kv_default - namespace: agents - responses: - backend: sql_default - table_name: responses - vector_io: - - provider_id: faiss - provider_type: inline::faiss - config: - persistence: - namespace: faiss - backend: kv_default - embedding_model: ollama/all-minilm:l6-v2 - embedding_dimension: 384 - files: - - provider_id: localfs - provider_type: inline::localfs - config: - storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/files} - metadata_store: - backend: sql_default - table_name: files - -registered_resources: - models: [] - shields: - - provider_id: llama-guard - shield_id: ${env.SAFETY_MODEL:=ollama/llama-guard3:8b} - provider_shield_id: null - - vector_dbs: [] - datasets: [] - scoring_fns: [] - benchmarks: [] - tool_groups: - - provider_id: rag-runtime - toolgroup_id: builtin::rag - -storage: - backends: - kv_default: - type: kv_sqlite - db_path: ${env.KV_SQL_STORE_DIR:=~/.llama}/kvstore.db - sql_default: - type: sql_sqlite - db_path: ${env.SQLITE_STORE_DIR:=~/.llama}/sql_store.db - stores: - metadata: - namespace: registry - backend: kv_default - inference: - table_name: inference_store - backend: sql_default - max_write_queue_size: 10000 - num_writers: 4 - conversations: - table_name: openai_conversations - backend: sql_default - -server: - port: 8321 - -vector_stores: - default_provider_id: faiss - default_embedding_model: - provider_id: ollama - model_id: all-minilm:l6-v2 \ No newline at end of file diff --git a/start-local-llamastack/pyproject.toml b/start-local-ogx/pyproject.toml similarity index 56% rename from start-local-llamastack/pyproject.toml rename to start-local-ogx/pyproject.toml index 139309a..8e31733 100644 --- a/start-local-llamastack/pyproject.toml +++ b/start-local-ogx/pyproject.toml @@ -1,17 +1,18 @@ -# Llama Stack Server Dependencies -# This is a minimal pyproject.toml for the Llama Stack server container -# Used by Containerfile.llama-stack +# OGX Server Dependencies +# This is a minimal pyproject.toml for the OGX (formerly Llama Stack) server container +# Used by Containerfile.ogx [project] -name = "llama-stack-server" +name = "ogx-server" version = "0.1.0" -description = "Llama Stack Agentic AI Server" +description = "OGX Agentic AI Server" requires-python = ">=3.12" dependencies = [ - # Core Llama Stack - pinned to 0.3.5 (fixes env var handling bugs) - "llama-stack==0.3.5", - "llama-stack-client==0.3.5", - + # Core OGX (formerly Llama Stack) - pinned to 1.2.5 + "ogx==1.2.5", + "ogx-client==1.2.5", + "ogx-api==1.2.5", + # MCP (Model Context Protocol) for tool runtime "mcp>=1.23.1", @@ -33,4 +34,9 @@ dependencies = [ # Character encoding detection (required for file processing in vector stores) "chardet>=5.2.0", + + # Document conversion for the file_processors "auto" provider + # (the inline::auto provider declares chardet + pypdf + markitdown[all]) + "pypdf>=6.13.0", + "markitdown[all]>=0.1.0", ] diff --git a/start-local-ogx/run.yaml b/start-local-ogx/run.yaml new file mode 100644 index 0000000..9a862d4 --- /dev/null +++ b/start-local-ogx/run.yaml @@ -0,0 +1,145 @@ +version: 2 +image_name: ogx-agentic + +# Migrated to the OGX 1.2.5 API surface. The classic Llama Stack "agents" and +# "safety" APIs were removed; agentic behaviour is now served by the +# responses / skills / interactions / messages APIs. Provider ids are made +# conditional (${env.VAR:+id}) so a provider only registers when its backing +# env var is set, mirroring the upstream "starter" distribution. +apis: +- inference +- tool_runtime +- vector_io +- files +- file_processors +- responses +- skills +- interactions +- messages +- batches + +providers: + inference: + - provider_id: ${env.OLLAMA_URL:+ollama} + provider_type: remote::ollama + config: + base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1} + - provider_id: ${env.VLLM_URL:+vllm} + provider_type: remote::vllm + config: + base_url: ${env.VLLM_URL:=} + api_token: ${env.VLLM_API_KEY:=fake} + max_tokens: ${env.VLLM_MAX_TOKENS:=4096} + network: + tls: + verify: ${env.VLLM_TLS_VERIFY:=false} + - provider_id: ${env.OPENAI_API_KEY:+openai} + provider_type: remote::openai + config: + api_key: ${env.OPENAI_API_KEY:=} + base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1} + vector_io: + - provider_id: faiss + provider_type: inline::faiss + config: + persistence: + namespace: vector_io::faiss + backend: kv_default + files: + - provider_id: builtin-files + provider_type: inline::localfs + config: + storage_dir: ${env.FILES_STORAGE_DIR:=/data/files} + metadata_store: + table_name: files_metadata + backend: sql_default + file_processors: + - provider_id: auto + provider_type: inline::auto + responses: + - provider_id: builtin + provider_type: inline::builtin + config: + persistence: + responses: + table_name: responses + backend: sql_default + max_write_queue_size: 10000 + num_writers: 4 + memory_config: + default_vector_store_provider_id: faiss + skills: + - provider_id: builtin + provider_type: inline::builtin + config: + persistence: + namespace: skills + backend: kv_default + interactions: + - provider_id: builtin + provider_type: inline::builtin + config: + store: + table_name: interactions + backend: sql_default + messages: + - provider_id: builtin + provider_type: inline::builtin + config: + kvstore: + namespace: message_batches + backend: kv_default + batches: + - provider_id: reference + provider_type: inline::reference + config: + sqlstore: + table_name: batches + backend: sql_default + tool_runtime: + - provider_id: model-context-protocol + provider_type: remote::model-context-protocol + - provider_id: file-search + provider_type: inline::file-search + +storage: + backends: + kv_default: + type: kv_sqlite + db_path: ${env.KV_SQL_STORE_DIR:=/data}/kvstore.db + sql_default: + type: sql_sqlite + db_path: ${env.SQLITE_STORE_DIR:=/data}/sql_store.db + stores: + metadata: + namespace: registry + backend: kv_default + inference: + table_name: inference_store + backend: sql_default + max_write_queue_size: 10000 + num_writers: 4 + conversations: + table_name: openai_conversations + backend: sql_default + prompts: + table_name: prompts + backend: sql_default + connectors: + table_name: connectors + backend: sql_default + +registered_resources: + models: [] + vector_stores: [] + +server: + port: 8321 + +vector_stores: + 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stores in the database """ try: - client = LlamaStackClient(base_url=LLAMA_STACK_URL) - vector_stores = client.vector_stores.list() or [] + client = OgxClient(base_url=LLAMA_STACK_URL) + vs_resp = client.vector_stores.list() + vector_stores = vs_resp.data if vs_resp else [] vector_store_list = list(vector_stores) count = len(vector_store_list) logger.debug(f"Found {count} vector stores in database") @@ -313,7 +314,7 @@ async def check_and_run_ingestion_if_needed() -> "None": # check if vector stores for all pipelines exist ingestion_service = get_ingestion_service() pipelines = ingestion_service.pipelines - temp_client = LlamaStackClient(base_url=LLAMA_STACK_URL) + temp_client = OgxClient(base_url=LLAMA_STACK_URL) temp_rag_service = RAGService( pipelines=pipelines, llama_stack_url=LLAMA_STACK_URL ) @@ -413,9 +414,6 @@ def _render_exchange_response(state: "WorkflowState") -> "None": """ renders the agent response for a single exchange """ - if not state: - return - # extract workflow state data decision = state.get("decision", "").lower() classification_msg = state.get("classification_message", "") diff --git a/template/docs/application.md b/template/docs/application.md index 7736954..0031588 100644 --- a/template/docs/application.md +++ b/template/docs/application.md @@ -1,6 +1,6 @@ -# **Llama Stack Agentic AI Workflow - Deployable Application** +# **OGX Agentic AI Workflow - Deployable Application** -This AI Software Template creates a comprehensive agentic workflow system that uses multiple AI agents to intelligently route and respond to user queries. The application leverages Llama Stack for AI model interactions and LangGraph for workflow orchestration. +This AI Software Template creates a comprehensive agentic workflow system that uses multiple AI agents to intelligently route and respond to user queries. The application leverages OGX for AI model interactions and LangGraph for workflow orchestration. ## **Application Overview** @@ -17,9 +17,9 @@ The main user interface provides: - **Performance Metrics** - Processing time breakdown by agent - **Model Configuration Display** - View which models are configured for inference, guardrails, and MCP tools -### **2. Llama Stack Server** +### **2. OGX Server** -The Llama Stack server provides: +The OGX server provides: - **Unified AI API** - OpenAI-compatible endpoints for inference - **Vector Store Management** - FAISS-based vector databases for RAG diff --git a/template/docs/index.md b/template/docs/index.md index d698491..7dc5b8c 100644 --- a/template/docs/index.md +++ b/template/docs/index.md @@ -1,10 +1,10 @@ -# **Llama Stack Agentic AI Workflow - Software Template Overview** +# **OGX Agentic AI Workflow - Software Template Overview** -This Software Template deploys a sophisticated **AI Agentic Workflow** application that provides an intelligent chat interface for dynamic, stateful workflow orchestration using both **LangGraph** and **Llama Stack**. +This Software Template deploys a sophisticated **AI Agentic Workflow** application that provides an intelligent chat interface for dynamic, stateful workflow orchestration using both **LangGraph** and **OGX**. ## **What This Application Does** -The Llama Stack Agentic application serves as a prototype chat interface that: +The OGX Agentic application serves as a prototype chat interface that: 1. **Classifies User Questions** - Takes incoming questions and dynamically routes them to specialized AI Agents based on the content and intent of the prompt 2. **Multi-Agent Orchestration** - Employs multiple specialized agents for different domains: @@ -25,7 +25,7 @@ This template deploys four interconnected services: | Component | Port | Description | |-----------|------|-------------| | **Streamlit UI** | 8501 | Interactive chat interface | -| **Llama Stack Server** | 8321 | AI inference orchestration | +| **OGX Server** | 8321 | AI inference orchestration | | **Ollama** | 11434 | Local LLM inference engine | | **Kubernetes MCP Server** | 8080 | Cluster introspection tools | @@ -41,7 +41,7 @@ This template deploys four interconnected services: ## **Model Server Options** -The template supports multiple inference providers through Llama Stack: +The template supports multiple inference providers through OGX: - **vLLM** - High-throughput GPU-accelerated inference (requires NVIDIA GPUs) - **Ollama** - Local model inference for development @@ -50,6 +50,6 @@ The template supports multiple inference providers through Llama Stack: ## **Additional Resources** - [The Deployable Application](./application.md) -- [Using the Llama Stack Agentic Template](./usage.md) +- [Using the OGX Agentic Template](./usage.md) - [Template Prerequisites](./template-prerequisites.md) diff --git a/template/docs/secrets-example.yaml b/template/docs/secrets-example.yaml index 0a7094a..b37863e 100644 --- a/template/docs/secrets-example.yaml +++ b/template/docs/secrets-example.yaml @@ -7,7 +7,7 @@ # # Option 1: Using kubectl # ------------------------ -# kubectl create secret generic llama-stack-secrets \ +# kubectl create secret generic ogx-secrets \ # --from-literal=VLLM_API_KEY= \ # --from-literal=OPENAI_API_KEY= \ # -n @@ -30,14 +30,14 @@ # ============================================================================= --- -# Secret 1: Llama Stack Secrets -# Required for the Llama Stack inference server +# Secret 1: OGX Secrets +# Required for the OGX inference server apiVersion: v1 kind: Secret metadata: - name: llama-stack-secrets # Must match the name provided in the template + name: ogx-secrets # Must match the name provided in the template labels: - app.kubernetes.io/component: llama-stack + app.kubernetes.io/component: ogx type: Opaque stringData: # API key for vLLM server - required for inference diff --git a/template/docs/template-prerequisites.md b/template/docs/template-prerequisites.md index 10b1aca..88f716b 100644 --- a/template/docs/template-prerequisites.md +++ b/template/docs/template-prerequisites.md @@ -1,4 +1,4 @@ -# **Llama Stack Agentic Template Prerequisites** +# **OGX Agentic Template Prerequisites** Before using this Software Template, ensure your environment meets the following requirements. @@ -25,7 +25,7 @@ The template deploys four services with the following requirements: | Component | CPU Request | Memory Request | CPU Limit | Memory Limit | |-----------|-------------|----------------|-----------|--------------| | Streamlit UI | 500m | 2Gi | 2000m | 6Gi | -| Llama Stack | 500m | 2Gi | 2000m | 8Gi | +| OGX | 500m | 2Gi | 2000m | 8Gi | | Ollama | 1000m | 4Gi | 4000m | 16Gi | | MCP Server | 100m | 128Mi | 500m | 512Mi | @@ -35,7 +35,7 @@ The template deploys four services with the following requirements: - **20Gi PersistentVolumeClaim** for Ollama models (e.g., llama-guard3:8b ~5GB) - Storage class with `ReadWriteOnce` access mode -- Llama Stack uses ephemeral storage (emptyDir) - data is lost on pod restart +- OGX uses ephemeral storage (emptyDir) - data is lost on pod restart ## **External Dependencies** @@ -127,9 +127,9 @@ The following external endpoints must be accessible: Services communicate internally: ``` -Streamlit UI (8501) β†’ Llama Stack (8321) -Llama Stack (8321) β†’ Ollama (11434) -Llama Stack (8321) β†’ MCP Server (8080) +Streamlit UI (8501) β†’ OGX (8321) +OGX (8321) β†’ Ollama (11434) +OGX (8321) β†’ MCP Server (8080) MCP Server (8080) β†’ Kubernetes API (443) ``` diff --git a/template/docs/usage.md b/template/docs/usage.md index 5b50197..c66f06b 100644 --- a/template/docs/usage.md +++ b/template/docs/usage.md @@ -1,4 +1,4 @@ -# **Using the Llama Stack Agentic AI Workflow Template** +# **Using the OGX Agentic AI Workflow Template** This AI Software Template allows you to customize and deploy a complete agentic AI workflow system. Follow this guide to configure and use the template effectively. @@ -16,7 +16,7 @@ This AI Software Template allows you to customize and deploy a complete agentic | **Include ArgoCD App Label** | Include a user provided ArgoCD Application Label | `true` | No | | **ArgoCD Application Label** | Label RHDH uses to identify ArgoCD Applications | `rolling-demo` | Conditional | -### **Llama Stack Configuration** +### **OGX Configuration** | Parameter | Description | Default | Required | |-----------|-------------|---------|----------| @@ -57,7 +57,7 @@ All secrets must exist in the specified namespace before deployment. | Parameter | Description | Default | Required | |-----------|-------------|---------|----------| | **Deployment Namespace** | Kubernetes namespace where the application and secrets will be deployed | `rhdh-app` | Yes | -| **Llama Stack Secrets Name** | Secret containing `VLLM_API_KEY` and `OPENAI_API_KEY` | `llama-stack-secrets` | Yes | +| **OGX Secrets Name** | Secret containing `VLLM_API_KEY` and `OPENAI_API_KEY` | `ogx-secrets` | Yes | | **Platform Credentials Secret Name** | Secret containing `GITHUB_TOKEN`, `GITLAB_TOKEN`, `WEBHOOK_SECRET`, `QUAY_DOCKERCONFIGJSON` | `platform-credentials` | Yes | | **Secrets Acknowledgment** | Checkbox confirming secrets exist or will be created | - | Yes | @@ -73,13 +73,13 @@ All secrets must exist in the specified namespace before deployment. Before deploying, you need to create the following secrets in your target namespace. See the examples below for the required structure. -### **Llama Stack Secrets** +### **OGX Secrets** ```yaml apiVersion: v1 kind: Secret metadata: - name: llama-stack-secrets # Must match "Llama Stack Secrets Name" parameter + name: ogx-secrets # Must match "OGX Secrets Name" parameter type: Opaque stringData: # API key for vLLM server - required for inference @@ -134,9 +134,9 @@ The Kubernetes MCP Server requires read access to cluster resources. The templat kubectl get pods -l app.kubernetes.io/part-of= ``` -2. **Check Llama Stack Health**: +2. **Check OGX Health**: ```bash - kubectl port-forward svc/-llama-stack 8321:8321 + kubectl port-forward svc/-ogx 8321:8321 curl http://localhost:8321/v1/health ``` @@ -156,12 +156,12 @@ The Kubernetes MCP Server requires read access to cluster resources. The templat ## **Troubleshooting** -### Llama Stack Not Starting +### OGX Not Starting Check the ConfigMap and Secret are correctly configured: ```bash -kubectl get configmap -llama-stack-env -o yaml -kubectl get secret llama-stack-secrets +kubectl get configmap -ogx-env -o yaml +kubectl get secret ogx-secrets ``` ### MCP Server Permission Denied @@ -181,7 +181,7 @@ kubectl logs deployment/-ollama -c ollama ### Vector Store Errors -Check the Ollama PVC is bound (Llama Stack uses ephemeral storage): +Check the Ollama PVC is bound (OGX uses ephemeral storage): ```bash kubectl get pvc -ollama-data ``` diff --git a/template/mkdocs.yml b/template/mkdocs.yml index f57ff6a..f7613f7 100644 --- a/template/mkdocs.yml +++ b/template/mkdocs.yml @@ -1,4 +1,4 @@ -site_name: 'Llama Stack Agentic AI Workflow - Template Documentation' +site_name: 'OGX Agentic AI Workflow - Template Documentation' nav: - Overview: index.md - Prerequisites: template-prerequisites.md diff --git a/template/template.yaml b/template/template.yaml index e6df62e..89abf35 100644 --- a/template/template.yaml +++ b/template/template.yaml @@ -2,14 +2,14 @@ apiVersion: scaffolder.backstage.io/v1beta3 # https://backstage.io/docs/features/software-catalog/descriptor-format#kind-template kind: Template metadata: - name: llama-stack-agentic - title: Llama Stack Agentic AI Workflow + name: ogx-agentic + title: OGX Agentic AI Workflow description: | Deploy a sophisticated AI Agentic Workflow application that provides an intelligent chat interface with dynamic, stateful workflow orchestration using LangGraph and - Llama Stack. Features multi-agent routing, RAG-powered responses, Kubernetes + OGX. Features multi-agent routing, RAG-powered responses, Kubernetes integration via MCP, and content safety guardrails. - tags: ["ai", "llama-stack", "langgraph", "mcp", "rag", "agents", "kubernetes", "streamlit"] + tags: ["ai", "ogx", "langgraph", "mcp", "rag", "agents", "kubernetes", "streamlit"] annotations: backstage.io/techdocs-ref: dir:. spec: @@ -83,9 +83,9 @@ spec: type: string description: Label RHDH uses to identify ArgoCD Applications - # ==================== Llama Stack Configuration ==================== - - title: Llama Stack Configuration - description: Configure the Llama Stack AI inference server. + # ==================== OGX Configuration ==================== + - title: OGX Configuration + description: Configure the OGX AI inference server. required: - vllmUrl ui:order: @@ -194,12 +194,12 @@ spec: All secrets must exist in the specified namespace. See TechDocs Usage page under "Required Secrets" for examples. required: - namespace - - llamaStackSecretName + - ogxSecretName - platformCredentialsSecretName - secretsAcknowledgment ui:order: - namespace - - llamaStackSecretName + - ogxSecretName - platformCredentialsSecretName - secretsAcknowledgment - '*' @@ -209,10 +209,10 @@ spec: type: string description: Kubernetes namespace where the application and secrets will be deployed ui:help: "Example: rhdh-app" - llamaStackSecretName: - title: Llama Stack Secrets Name + ogxSecretName: + title: OGX Secrets Name type: string - default: llama-stack-secrets + default: ogx-secrets description: | β€’ VLLM_API_KEY - API key for vLLM inference server β€’ OPENAI_API_KEY - OpenAI API key for embeddings and inference @@ -345,12 +345,12 @@ spec: values: name: ${{ parameters.name }} namespace: ${{ parameters.namespace }} - description: Llama Stack Agentic AI Workflow Application + description: OGX Agentic AI Workflow Application dockerfile: Containerfile buildContext: . gitopsSecretName: ${{ 'gitops-auth-secret' if parameters.hostType === 'GitHub' else 'gitlab-auth-secret' }} image: '${{ parameters.imageRegistry }}/${{ parameters.imageOrg }}/${{ parameters.imageName }}' - tags: '["ai", "llama-stack", "langgraph", "mcp", "rag", "agents"]' + tags: '["ai", "ogx", "langgraph", "mcp", "rag", "agents"]' owner: ${{ parameters.owner }} repoSlug: '${{ parameters.imageOrg }}/${{ parameters.imageName }}' defaultBranch: ${{ parameters.branch }} @@ -371,7 +371,7 @@ spec: if: ${{ parameters.hostType === 'GitHub' }} input: sourcePath: source - description: Llama Stack Agentic AI Workflow - ${{ parameters.name }} + description: OGX Agentic AI Workflow - ${{ parameters.name }} repoUrl: ${{ parameters.githubServer }}?owner=${{ parameters.repoOwner }}&repo=${{ parameters.repoName }} defaultBranch: ${{ parameters.branch }} protectDefaultBranch: true @@ -388,7 +388,7 @@ spec: if: ${{ parameters.hostType === 'GitLab' }} input: sourcePath: source - description: Llama Stack Agentic AI Workflow - ${{ parameters.name }} + description: OGX Agentic AI Workflow - ${{ parameters.name }} repoUrl: ${{ parameters.gitlabServer }}?owner=${{ parameters.repoOwner }}&repo=${{ parameters.repoName }} defaultBranch: ${{ parameters.branch }} protectDefaultBranch: false @@ -405,7 +405,7 @@ spec: values: name: ${{ parameters.name }} appName: ${{ parameters.name }}-gitops - description: GitOps manifest for Llama Stack Agentic - ${{ parameters.name }} + description: GitOps manifest for OGX Agentic - ${{ parameters.name }} namespace: ${{ parameters.namespace }} rhdhNamespace: ai-rhdh repoURL: https://${{ parameters.githubServer if parameters.hostType === 'GitHub' else parameters.gitlabServer }}/${{ parameters.repoOwner }}/${{ parameters.repoName }}-gitops @@ -422,12 +422,12 @@ spec: defaultBranch: main # Application container image appContainer: quay.io/redhat-ai-dev/agentic-sample:latest - llamaStackContainer: quay.io/redhat-ai-dev/agentic-llama-stack:latest + ogxContainer: quay.io/redhat-ai-dev/agentic-ogx:latest appPort: 8501 - # Llama Stack configuration + # OGX configuration vllmUrl: ${{ parameters.vllmUrl }} safetyModel: ${{ parameters.safetyModel }} - llamaStackSecretName: ${{ parameters.llamaStackSecretName }} + ogxSecretName: ${{ parameters.ogxSecretName }} # Application configuration inferenceModel: ${{ parameters.inferenceModel }} mcpToolModel: ${{ parameters.mcpToolModel }} @@ -461,7 +461,7 @@ spec: if: ${{ parameters.hostType === 'GitHub' }} input: sourcePath: gitops - description: GitOps repository for Llama Stack Agentic - ${{ parameters.name }} + description: GitOps repository for OGX Agentic - ${{ parameters.name }} repoUrl: ${{ parameters.githubServer }}?owner=${{ parameters.repoOwner }}&repo=${{ parameters.repoName }}-gitops defaultBranch: "main" protectDefaultBranch: false @@ -474,7 +474,7 @@ spec: if: ${{ parameters.hostType === 'GitLab' }} input: sourcePath: gitops - description: GitOps repository for Llama Stack Agentic - ${{ parameters.name }} + description: GitOps repository for OGX Agentic - ${{ parameters.name }} repoUrl: ${{ parameters.gitlabServer }}?owner=${{ parameters.repoOwner }}&repo=${{ parameters.repoName }}-gitops defaultBranch: "main" protectDefaultBranch: false diff --git a/tests/conftest.py b/tests/conftest.py index 3610a56..73d3f96 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -92,7 +92,7 @@ def mock_llama_stack_client(): client.models.list.return_value = [] client.vector_stores.list.return_value = [] client.vector_stores.create.return_value = Mock(id="test-vector-store-id") - client.vector_stores.files.create.return_value = Mock( + client.vector_stores_files.create.return_value = Mock( id="test-file-id", status="completed" ) client.files.create.return_value = Mock(id="test-file-id") @@ -103,13 +103,6 @@ def mock_llama_stack_client(): def mock_openai_client(): client = Mock() - moderation_result = Mock() - moderation_result.flagged = False - moderation_result.categories = Mock(model_extra={}) - mock_moderation_response = Mock() - mock_moderation_response.results = [moderation_result] - client.moderations.create.return_value = mock_moderation_response - mock_completion = Mock() mock_completion.choices = [Mock(message=Mock(content="Test response"))] client.chat.completions.create.return_value = mock_completion diff --git a/tests/test_ingest.py b/tests/test_ingest.py index 115b367..6806c74 100644 --- a/tests/test_ingest.py +++ b/tests/test_ingest.py @@ -21,7 +21,7 @@ def test_init_with_valid_config(self, sample_config_file, mock_llama_stack_clien return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): service = IngestionService(sample_config_file) @@ -45,7 +45,7 @@ def test_init_with_invalid_config_missing_llamastack( return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): with pytest.raises(SystemExit): IngestionService(config_path) @@ -60,7 +60,7 @@ def test_init_with_github_token( return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): service = IngestionService(sample_config_file) assert service.gh_client is not None @@ -75,7 +75,7 @@ def test_init_without_github_token( return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): service = IngestionService(sample_config_file) assert service.gh_client is not None @@ -94,7 +94,7 @@ def test_successful_connection_on_first_attempt( return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): service = IngestionService(sample_config_file) assert service.client is not None @@ -111,7 +111,7 @@ def test_successful_connection_after_retry( ], ): with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): with patch("src.ingest.time.sleep"): service = IngestionService(sample_config_file) @@ -134,7 +134,7 @@ def test_connection_uses_correct_url( return_value={"connected": True, "error_message": ""}, ) as mock_check: with patch( - "src.ingest.LlamaStackClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_llama_stack_client ): service = IngestionService(sample_config_file) mock_check.assert_called_with("http://localhost:8321") @@ -148,7 +148,7 @@ class TestConfigValidation: def test_valid_config( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) assert service is not None @@ -163,7 +163,7 @@ def test_invalid_config_missing_vector_db( with open(config_path, "w") as f: yaml.dump(invalid_config, f) - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): with pytest.raises(SystemExit): IngestionService(config_path) @@ -176,7 +176,7 @@ class TestParsePipelines: def test_parse_github_pipeline( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) github_pipelines = [ @@ -189,7 +189,7 @@ def test_parse_github_pipeline( def test_parse_url_pipeline( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) url_pipelines = [ @@ -218,7 +218,7 @@ def test_parse_disabled_pipeline( with open(config_path, "w") as f: yaml.dump(config, f) - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(config_path) assert len(service.pipelines) > 0 assert service.pipelines[0].enabled is False @@ -240,7 +240,7 @@ def test_fetch_from_github_with_valid_repo( mock_github_repo.get_contents.return_value = [mock_pdf_content] - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=mock_github_repo): @@ -254,7 +254,7 @@ def test_fetch_from_github_with_valid_repo( def test_fetch_from_github_with_invalid_repo( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=None): @@ -273,7 +273,7 @@ def test_fetch_from_github_with_directory( mock_github_repo.get_contents.return_value = [mock_dir] - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=mock_github_repo): @@ -296,7 +296,7 @@ class TestFetchFromUrl: async def test_fetch_from_url_success( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) mock_response = Mock() @@ -314,7 +314,7 @@ async def test_fetch_from_url_success( async def test_fetch_from_url_with_error( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch("src.ingest.requests.get", side_effect=Exception("Network error")): @@ -327,7 +327,7 @@ async def test_fetch_from_url_with_error( async def test_fetch_from_url_without_pdf_extension( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) mock_response = Mock() @@ -351,7 +351,7 @@ class TestProcessDocuments: async def test_process_documents_success( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, sample_pdf_file ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) mock_file_response = Mock() @@ -382,7 +382,7 @@ async def test_process_documents_success( async def test_process_documents_with_error( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, sample_pdf_file ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object( @@ -404,7 +404,7 @@ class TestCreateVectorDb: async def test_create_vector_db_success( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) mock_doc = Mock() @@ -419,7 +419,7 @@ async def test_create_vector_db_success( async def test_create_vector_db_with_no_documents( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) result = await service.create_vector_db("test-vector-db", []) @@ -438,9 +438,11 @@ async def test_create_vector_db_already_exists( mock_existing_vs = Mock() mock_existing_vs.name = "test-vector-db" mock_existing_vs.id = "existing-vector-store-id" - mock_llama_stack_client.vector_stores.list.return_value = [mock_existing_vs] + mock_llama_stack_client.vector_stores.list.return_value = Mock( + data=[mock_existing_vs] + ) - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) mock_doc = Mock() @@ -459,7 +461,7 @@ class TestSaveFileMetadata: def test_save_file_metadata_success( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) service.file_metadata = { @@ -480,7 +482,7 @@ def test_save_file_metadata_success( def test_save_file_metadata_with_empty_metadata( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) service.file_metadata = {} @@ -501,7 +503,7 @@ class TestProcessPipeline: async def test_process_pipeline_disabled( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) disabled_pipeline = Pipeline( @@ -521,7 +523,7 @@ async def test_process_pipeline_disabled( async def test_process_pipeline_with_github_source( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) github_pipeline = Pipeline( @@ -547,7 +549,7 @@ async def test_process_pipeline_with_github_source( async def test_process_pipeline_with_url_source( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) url_pipeline = Pipeline( @@ -576,7 +578,7 @@ class TestRun: async def test_run_with_successful_pipelines( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", return_value=True): @@ -587,7 +589,7 @@ async def test_run_with_successful_pipelines( async def test_run_with_failed_pipelines( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", return_value=False): @@ -599,7 +601,7 @@ async def test_run_with_failed_pipelines( async def test_run_with_mixed_results( self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability ): - with patch("src.ingest.LlamaStackClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", side_effect=[True, False]): diff --git a/tests/test_methods.py b/tests/test_methods.py index 6ea3542..eafdc35 100644 --- a/tests/test_methods.py +++ b/tests/test_methods.py @@ -35,13 +35,10 @@ def test_classification_agent_success( def test_classification_agent_with_unsafe_content( self, sample_workflow_state, mock_openai_client ): - moderation_result = Mock() - moderation_result.flagged = True - moderation_result.categories = Mock(violence=Mock(name="violence")) - moderation_result.categories.model_extra = {"violence": True} - mock_moderation_response = Mock() - mock_moderation_response.results = [moderation_result] - mock_openai_client.moderations.create.return_value = mock_moderation_response + # Llama Guard flags unsafe input with "unsafe" + violated S-codes. + mock_guard_completion = Mock() + mock_guard_completion.choices = [Mock(message=Mock(content="unsafe\nS1"))] + mock_openai_client.chat.completions.create.return_value = mock_guard_completion result = classification_agent( sample_workflow_state, @@ -53,6 +50,37 @@ def test_classification_agent_with_unsafe_content( assert result["decision"] == "unsafe" assert result["workflow_complete"] is True + def test_classification_agent_unknown_sets_graceful_message( + self, sample_workflow_state, mock_openai_client + ): + # Model classifies an off-topic request as 'unknown'. The agent should + # mark the workflow complete and attach a friendly rephrase prompt so the + # UI renders the graceful path instead of a generic error. + class ParsedResult: + def __init__(self): + self.classification = "unknown" + + mock_message = Mock() + mock_message.parsed = ParsedResult() + mock_parsed_message = Mock() + mock_parsed_message.message = mock_message + mock_parsed_completion = Mock() + mock_parsed_completion.choices = [mock_parsed_message] + mock_openai_client.beta.chat.completions.parse.return_value = ( + mock_parsed_completion + ) + + result = classification_agent( + sample_workflow_state, + mock_openai_client, + "test-model", + "guardrail-model", + ) + + assert result["decision"] == "unknown" + assert result["workflow_complete"] is True + assert "rephrasing" in result["classification_message"].lower() + def test_classification_agent_without_openai_client(self, sample_workflow_state): with pytest.raises(AgentRunMethodParameterError): classification_agent( diff --git a/tests/test_responses.py b/tests/test_responses.py index e5e9178..ca1c1f6 100644 --- a/tests/test_responses.py +++ b/tests/test_responses.py @@ -161,7 +161,7 @@ def test_initialize_success(self, mock_llama_stack_client): service = RAGService(pipelines=pipelines) with patch( - "src.responses.LlamaStackClient", return_value=mock_llama_stack_client + "src.responses.OgxClient", return_value=mock_llama_stack_client ): with patch("src.responses.OpenAI") as mock_openai: with patch.object(service, "load_vector_stores", return_value=True): @@ -176,7 +176,7 @@ def test_initialize_failure(self): service = RAGService(pipelines=pipelines) with patch( - "src.responses.LlamaStackClient", + "src.responses.OgxClient", side_effect=Exception("Connection error"), ): result = service.initialize() @@ -198,7 +198,9 @@ def test_load_vector_stores_success(self, mock_llama_stack_client): mock_vs2.id = "hr-vs-id" mock_vs2.name = "hr-vector-db" - mock_llama_stack_client.vector_stores.list.return_value = [mock_vs1, mock_vs2] + mock_llama_stack_client.vector_stores.list.return_value = Mock( + data=[mock_vs1, mock_vs2] + ) pipelines = [] service = RAGService(pipelines=pipelines) @@ -496,7 +498,9 @@ def test_get_files_from_vector_store_success( mock_file = Mock() mock_file.id = "file-id-1" - mock_llama_stack_client.vector_stores.files.list.return_value = [mock_file] + mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + data=[mock_file] + ) sources = service._get_files_from_vector_store("legal") @@ -518,7 +522,7 @@ def test_get_files_from_vector_store_with_error(self, mock_llama_stack_client): service.client = mock_llama_stack_client service.vector_store_map = {"legal": ["legal-vs-id"]} - mock_llama_stack_client.vector_stores.files.list.side_effect = Exception( + mock_llama_stack_client.vector_stores_files.list.side_effect = Exception( "Error" ) @@ -630,7 +634,9 @@ def test_skips_regeneration_when_metadata_matches(self, mock_llama_stack_client) # Setup: file in vector store matches metadata mock_file = Mock() mock_file.id = "file-id-1" - mock_llama_stack_client.vector_stores.files.list.return_value = [mock_file] + mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + data=[mock_file] + ) service.file_metadata = { "file-id-1": { @@ -656,7 +662,9 @@ def test_triggers_regeneration_when_metadata_mismatch(self, mock_llama_stack_cli # Setup: file in vector store does NOT match metadata mock_file = Mock() mock_file.id = "new-file-id" # Different from metadata - mock_llama_stack_client.vector_stores.files.list.return_value = [mock_file] + mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + data=[mock_file] + ) # Old metadata with different file_id service.file_metadata = { @@ -685,7 +693,7 @@ def test_handles_empty_vector_stores(self, mock_llama_stack_client): service.client = mock_llama_stack_client service.vector_store_map = {"legal": ["legal-vs-id"]} - mock_llama_stack_client.vector_stores.files.list.return_value = [] + mock_llama_stack_client.vector_stores_files.list.return_value = [] service.file_metadata = {"old-file-id": {"original_filename": "test.pdf"}} diff --git a/tests/test_utils.py b/tests/test_utils.py index 38e348a..46ccbc1 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -366,7 +366,7 @@ def test_successful_connection_without_model_check(self): mock_client = Mock() mock_client.models.list.return_value = [] - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability("http://localhost:8321") assert result["connected"] is True @@ -381,9 +381,9 @@ def test_successful_connection_with_all_models_available(self): mock_model2.identifier = "model-2" mock_client = Mock() - mock_client.models.list.return_value = [mock_model1, mock_model2] + mock_client.models.list.return_value = Mock(data=[mock_model1, mock_model2]) - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=["model-1", "model-2"], @@ -399,9 +399,9 @@ def test_successful_connection_with_some_models_missing(self): mock_model.identifier = "model-1" mock_client = Mock() - mock_client.models.list.return_value = [mock_model] + mock_client.models.list.return_value = Mock(data=[mock_model]) - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=["model-1", "model-2", "model-3"], @@ -416,7 +416,7 @@ def test_successful_connection_with_all_models_missing(self): mock_client = Mock() mock_client.models.list.return_value = [] - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=["model-1", "model-2"], @@ -428,7 +428,7 @@ def test_successful_connection_with_all_models_missing(self): def test_connection_refused_error(self): with patch( - "src.utils.LlamaStackClient", + "src.utils.OgxClient", side_effect=Exception("Connection refused"), ): result = check_llama_stack_availability("http://localhost:8321") @@ -441,7 +441,7 @@ def test_connection_refused_error(self): def test_connect_error(self): with patch( - "src.utils.LlamaStackClient", + "src.utils.OgxClient", side_effect=Exception("ConnectError: Failed to establish connection"), ): result = check_llama_stack_availability("http://localhost:8321") @@ -451,7 +451,7 @@ def test_connect_error(self): def test_timeout_error(self): with patch( - "src.utils.LlamaStackClient", + "src.utils.OgxClient", side_effect=Exception("Request timeout exceeded"), ): result = check_llama_stack_availability("http://localhost:8321") @@ -461,7 +461,7 @@ def test_timeout_error(self): def test_generic_error(self): with patch( - "src.utils.LlamaStackClient", + "src.utils.OgxClient", side_effect=Exception("Some unexpected error"), ): result = check_llama_stack_availability("http://localhost:8321") @@ -475,9 +475,9 @@ def test_model_with_id_attribute_instead_of_identifier(self): mock_model.id = "model-with-id" mock_client = Mock() - mock_client.models.list.return_value = [mock_model] + mock_client.models.list.return_value = Mock(data=[mock_model]) - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=["model-with-id"], @@ -491,7 +491,7 @@ def test_empty_required_models_list(self): mock_client = Mock() mock_client.models.list.return_value = [] - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=[], @@ -505,7 +505,7 @@ def test_none_models_response(self): mock_client = Mock() mock_client.models.list.return_value = None - with patch("src.utils.LlamaStackClient", return_value=mock_client): + with patch("src.utils.OgxClient", return_value=mock_client): result = check_llama_stack_availability( "http://localhost:8321", required_models=["model-1"], diff --git a/tests/test_workflow.py b/tests/test_workflow.py index 5454c80..433763f 100644 --- a/tests/test_workflow.py +++ b/tests/test_workflow.py @@ -442,12 +442,9 @@ def test_full_workflow_execution(self, sample_workflow_state): mock_parsed_completion ) - moderation_result = Mock() - moderation_result.flagged = False - moderation_result.categories = Mock(model_extra={}) - mock_moderation_response = Mock() - mock_moderation_response.results = [moderation_result] - mock_openai_client.moderations.create.return_value = mock_moderation_response + # Guardrail now runs the guard model via chat completions (OGX 1.2.5 + # dropped /v1/moderations). The mock_completion above returns a non-unsafe + # string, so the guardrail treats the input as safe. mock_rag_service.openai_client = mock_openai_client mock_rag_service.openai_client = mock_openai_client diff --git a/uv.lock b/uv.lock index 97fc4ca..3453791 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,16 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.12" resolution-markers = [ - "sys_platform == 'darwin'", - "platform_machine == 'aarch64' and sys_platform == 'linux'", - "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')", + "python_full_version >= '3.14' and sys_platform == 'darwin'", + "python_full_version == '3.13.*' and sys_platform == 'darwin'", + "python_full_version < '3.13' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 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{ registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, -] - [[package]] name = "zstandard" version = "0.25.0" From 4d46b6347694c768088dfe05cbf583d84f50527b Mon Sep 17 00:00:00 2001 From: Lucas Date: Fri, 9 Oct 2026 11:44:22 -0400 Subject: [PATCH 2/7] adding permissions for ./data storing vector embeddings Signed-off-by: Lucas --- .gitignore | 2 ++ README.md | 12 +++++++++++- start-local-ogx/run.yaml | 6 +++--- 3 files changed, 16 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index 81ccb33..f0df6b8 100644 --- a/.gitignore +++ b/.gitignore @@ -33,6 +33,8 @@ ENV/ # OGX local data .llama/ +.data/ +start-local-ogx/data/ # Temporary files *.tmp diff --git a/README.md b/README.md index 898c653..ee0b6fd 100644 --- a/README.md +++ b/README.md @@ -31,11 +31,18 @@ For example ```bash # only required if you do not override the GUARDRAIL_MODEL environment variable ollama pull llama-guard3:1b +# embedding model required by the vector store / RAG file search; the server +# refuses to start without it +ollama pull all-minilm:l6-v2 ollama serve ``` proved sufficient for providing a model to pass the moderation / guardrail checks. +The OGX server validates its configured embedding model (`all-minilm:l6-v2`) at +startup, so pulling it is mandatory for a local run even if you are not using RAG +file search. + You can also employ `ollama run llama-guard3:1b --keepalive 60m` for each of those models if ollama is already running. When their startup completes, type `/bye` and the provided prompt to return to your terminal. @@ -75,7 +82,10 @@ The snippet below assumes you are in the top directory of your clone of this rep cd start-local-ogx uv sync source .venv/bin/activate -uv run ogx stack run run.yaml +# The Ollama provider only registers when OLLAMA_URL is set; export it before +# starting so the embedding/inference models are available. +export OLLAMA_URL=http://localhost:11434/v1 +uv run ogx run run.yaml --insecure ``` ### Launch Kubernetes MCP Server diff --git a/start-local-ogx/run.yaml b/start-local-ogx/run.yaml index 9a862d4..8500359 100644 --- a/start-local-ogx/run.yaml +++ b/start-local-ogx/run.yaml @@ -49,7 +49,7 @@ providers: - provider_id: builtin-files provider_type: inline::localfs config: - storage_dir: ${env.FILES_STORAGE_DIR:=/data/files} + storage_dir: ${env.FILES_STORAGE_DIR:=.data/files} metadata_store: table_name: files_metadata backend: sql_default @@ -106,10 +106,10 @@ storage: backends: kv_default: type: kv_sqlite - db_path: ${env.KV_SQL_STORE_DIR:=/data}/kvstore.db + db_path: ${env.KV_SQL_STORE_DIR:=.data}/kvstore.db sql_default: type: sql_sqlite - db_path: ${env.SQLITE_STORE_DIR:=/data}/sql_store.db + db_path: ${env.SQLITE_STORE_DIR:=.data}/sql_store.db stores: metadata: namespace: registry From 6ab9137ffc705e5bb37c08f46c952e4f78ef9d29 Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 12 Oct 2026 11:17:53 -0400 Subject: [PATCH 3/7] fix: remove redundant casts on chat message literals The enclosing list annotations already type the dict literals as ChatCompletionUserMessageParam, so the cast() wrappers were redundant and flagged by ty. Removing them makes 'make ty' pass cleanly. Co-Authored-By: Claude Opus 4.8 --- src/methods.py | 31 +++++++++++-------------------- 1 file changed, 11 insertions(+), 20 deletions(-) diff --git a/src/methods.py b/src/methods.py index 38d00cf..927a0bf 100644 --- a/src/methods.py +++ b/src/methods.py @@ -51,10 +51,7 @@ def run_guardrail( human-readable names of the violated hazard categories. """ guard_messages: "list[ChatCompletionUserMessageParam]" = [ - cast( - ChatCompletionUserMessageParam, - {"role": "user", "content": text}, - ) + {"role": "user", "content": text} ] guard_completion = openai_client.chat.completions.create( model=guardrail_model, @@ -140,13 +137,10 @@ def classification_agent( logger.debug(f"Classification prompt: {classification_prompt}") messages: "list[ChatCompletionUserMessageParam]" = [ - cast( - ChatCompletionUserMessageParam, - { - "role": "user", - "content": classification_prompt, - }, - ) + { + "role": "user", + "content": classification_prompt, + } ] completion = openai_client.beta.chat.completions.parse( model=topic_llm, @@ -273,15 +267,12 @@ def support_classification_agent( try: messages: "list[ChatCompletionUserMessageParam]" = [ - cast( - ChatCompletionUserMessageParam, - { - "role": "user", - "content": WorkflowAgentPrompts.SUPPORT_CLASSIFICATION_PROMPT.format( # noqa - state_input=state["input"] - ), - }, - ) + { + "role": "user", + "content": WorkflowAgentPrompts.SUPPORT_CLASSIFICATION_PROMPT.format( # noqa + state_input=state["input"] + ), + } ] completion = openai_client.beta.chat.completions.parse( model=topic_llm, From bf45fdf15e3882d8638084d3e0bab7497093f9e3 Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 12 Oct 2026 15:43:45 -0400 Subject: [PATCH 4/7] updaing default argons to rhdh-app Signed-off-by: Lucas --- template/template.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/template/template.yaml b/template/template.yaml index 89abf35..2530456 100644 --- a/template/template.yaml +++ b/template/template.yaml @@ -52,7 +52,7 @@ spec: title: ArgoCD Namespace type: string description: The target namespace of the ArgoCD deployment - default: openshift-gitops + default: rhdh-app maxLength: 63 argoInstance: title: ArgoCD Instance From 91e2be9fb1d467f23ac0a8a61c88980b6559099a Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 12 Oct 2026 16:23:15 -0400 Subject: [PATCH 5/7] update documentation & costmetic changes (llama stack -> ogx) Signed-off-by: Lucas --- README.md | 1 + src/constants.py | 14 ++-- src/ingest.py | 42 ++++++------ src/responses.py | 18 ++--- src/utils.py | 12 ++-- streamlit_app.py | 82 +++++++++++----------- tests/conftest.py | 8 +-- tests/test_ingest.py | 146 ++++++++++++++++++++-------------------- tests/test_responses.py | 80 +++++++++++----------- tests/test_utils.py | 32 ++++----- 10 files changed, 218 insertions(+), 217 deletions(-) diff --git a/README.md b/README.md index ee0b6fd..6442896 100644 --- a/README.md +++ b/README.md @@ -56,6 +56,7 @@ For maximum flexibility, the application breaks down the use of AI models along In our testing, the following models achieved tolerable performance for both `INFERENCE_MODEL` AND `MCP_TOOL_MODEL`: +- `ollama/llama3.1:8b` via local Ollama run. - `qwen3-8b-fp8` deployed using OpenShift AI in our local environment, where we leverage the OGX vllm provider - `gemini-2.5-pro` via the Google public offering, where we leverage the Ogx gemini provider. - `gpt-4o` and `gpt-4o-mini` via the OpenAI public offering, where we leverage the Ogx openai provider diff --git a/src/constants.py b/src/constants.py index 11ae953..e7f69fd 100644 --- a/src/constants.py +++ b/src/constants.py @@ -7,16 +7,16 @@ DEFAULT_CHUNK_SIZE_IN_TOKENS = 512 # DEFAULT_LLAMA_STACK_URL: The default URL for -# connecting to the Llama Stack service. +# connecting to the OGX service. DEFAULT_LLAMA_STACK_URL = "http://localhost:8321" -# DEFAULT_LLAMA_STACK_WAITING_RETRIES: The default number -# of retries for waiting operations in Llama Stack. -DEFAULT_LLAMA_STACK_WAITING_RETRIES = 2 +# DEFAULT_OGX_WAITING_RETRIES: The default number +# of retries for waiting operations in OGX. +DEFAULT_OGX_WAITING_RETRIES = 2 -# DEFAULT_LLAMA_STACK_RETRY_DELAY: The default delay in -# seconds between retries in Llama Stack. -DEFAULT_LLAMA_STACK_RETRY_DELAY = 5 +# DEFAULT_OGX_RETRY_DELAY: The default delay in +# seconds between retries in OGX. +DEFAULT_OGX_RETRY_DELAY = 5 # DEFAULT_HTTP_REQUEST_TIMEOUT: The default timeout in # seconds for HTTP requests. diff --git a/src/ingest.py b/src/ingest.py index 9176d1b..8e98397 100644 --- a/src/ingest.py +++ b/src/ingest.py @@ -27,8 +27,8 @@ DEFAULT_EMBEDDING_MODEL, DEFAULT_HTTP_REQUEST_TIMEOUT, DEFAULT_INGESTION_MODE, - DEFAULT_LLAMA_STACK_RETRY_DELAY, - DEFAULT_LLAMA_STACK_WAITING_RETRIES, + DEFAULT_OGX_RETRY_DELAY, + DEFAULT_OGX_WAITING_RETRIES, ) from src.exceptions import IngestionPipelineError from src.types import ( @@ -38,7 +38,7 @@ SourceTypes, VectorDBConfig, ) -from src.utils import check_llama_stack_availability, clean_text, logger +from src.utils import check_ogx_availability, clean_text, logger class IngestionService: @@ -59,11 +59,11 @@ def __init__(self, config_path: "str") -> "None": self.config_path = config_path - # Llama Stack setup - prefer env var over config file + # OGX setup - prefer env var over config file self.llama_stack_url: "str" = os.environ.get( "LLAMA_STACK_URL", _config["llamastack"]["base_url"] ) - self.client = self._initialize_llama_stack_client() + self.client = self._initialize_ogx_client() self.vector_store_ids: "list[str]" = [] # Vector DB setup @@ -217,36 +217,36 @@ def _config_is_valid(self, raw_config: "dict[str, Any]") -> "bool": logger.debug("Ingestion config validated successfully!") return True - def _initialize_llama_stack_client( + def _initialize_ogx_client( self, - max_retries: "int" = DEFAULT_LLAMA_STACK_WAITING_RETRIES, - retry_delay: "int" = DEFAULT_LLAMA_STACK_RETRY_DELAY, + max_retries: "int" = DEFAULT_OGX_WAITING_RETRIES, + retry_delay: "int" = DEFAULT_OGX_RETRY_DELAY, ) -> "OgxClient": logger.debug( - f"Connecting Llama Stack Client to Server at {self.llama_stack_url}..." + f"Connecting OGX Client to Server at {self.llama_stack_url}..." ) for attempt in range(max_retries): - result = check_llama_stack_availability(self.llama_stack_url) + result = check_ogx_availability(self.llama_stack_url) if result["connected"]: - logger.debug("Llama Stack Client connected successfully!") + logger.debug("OGX Client connected successfully!") return OgxClient(base_url=self.llama_stack_url) if attempt < max_retries - 1: logger.info( f"Attempt {attempt + 1}/{max_retries}: " - f"Llama Stack not ready yet. " + f"OGX not ready yet. " f"Retrying in {retry_delay}s..." ) time.sleep(retry_delay) else: logger.error( - f"Failed to connect to Llama Stack " + f"Failed to connect to OGX " f"after {max_retries} attempts: {result['error_message']}" ) - logger.error("Failed to connect to Llama Stack. Exiting.") + logger.error("Failed to connect to OGX. Exiting.") sys.exit(1) def _create_local_file( @@ -454,7 +454,7 @@ def _process_single_document( ) -> File | None: """ processes a single PDF document. - Preserves original filename when uploading to Llama Stack for + Preserves original filename when uploading to OGX for better metadata recovery after pod restarts. """ try: @@ -467,7 +467,7 @@ def _process_single_document( cleaned_text = clean_text(markdown_text) # create temp file with original filename (not random temp name) - # this preserves the filename in Llama Stack for metadata recovery + # this preserves the filename in OGX for metadata recovery temp_dir = tempfile.mkdtemp() # replace .pdf extension with .txt for the processed content processed_filename = original_filename @@ -476,7 +476,7 @@ def _process_single_document( tmp_file_path = os.path.join(temp_dir, processed_filename) try: - # create file in llama stack + # create file in OGX with open(tmp_file_path, "w", encoding="utf-8") as tmp_file: tmp_file.write(cleaned_text) @@ -528,10 +528,10 @@ async def process_documents( ) # filter out None values (failed processing) - llama_documents = [doc for doc in results if doc is not None] + documents = [doc for doc in results if doc is not None] - logger.info(f"Total documents processed: {len(llama_documents)}") - return llama_documents + logger.info(f"Total documents processed: {len(documents)}") + return documents def _insert_single_document( self, vector_store_id: str, vector_store_name: str, doc: File @@ -600,7 +600,7 @@ async def create_vector_db( vector_store = None try: - # asyncio.to_thread moves the synchronous llama-stack-client + # asyncio.to_thread moves the synchronous OGX-client # call to a separate thread so the asyncio (event) loop keeps # running. vector_store = await asyncio.to_thread( diff --git a/src/responses.py b/src/responses.py index 1f40aa6..516c6ba 100644 --- a/src/responses.py +++ b/src/responses.py @@ -89,7 +89,7 @@ def _validate_and_regenerate_metadata(self) -> "None": If there's a mismatch (stale metadata), regenerates metadata from vector stores. This handles the case where: - Pod restarts with existing vector stores but stale/missing metadata - - Container has metadata from a different Llama Stack instance + - Container has metadata from a different OGX instance """ if not self.client: logger.warning( @@ -148,12 +148,12 @@ def _regenerate_file_metadata( self, file_id_to_category: "dict[str, str]" ) -> "None": """ - Regenerates file metadata by querying file details from Llama Stack. + Regenerates file metadata by querying file details from OGX. Uses category information to construct GitHub URLs. This handles pod restarts where the local metadata file is lost but - vector stores still exist in Llama Stack. The original filename is - preserved in Llama Stack's file storage (since we upload with the + vector stores still exist in OGX. The original filename is + preserved in OGX's file storage (since we upload with the original filename, just with .txt extension instead of .pdf). """ if not self.client: @@ -163,7 +163,7 @@ def _regenerate_file_metadata( for file_id, category in file_id_to_category.items(): try: - # Try to get file details from Llama Stack + # Try to get file details from OGX file_info = self.client.files.retrieve(file_id) # Extract filename - try multiple attributes @@ -285,12 +285,12 @@ def _load_source_url_map(self, pipelines: "list[Pipeline]") -> "dict[str, str]": def initialize(self) -> "bool": """ - initializes the Llama Stack client and load vector stores. + initializes the OGX client and load vector stores. """ try: self.client = OgxClient(base_url=self.llama_stack_url) self.client.models.list() - logger.info("RAG Service: Llama Stack client initialized successfully") + logger.info("RAG Service: OGX client initialized successfully") # Initialize OpenAI client for structured output # (points to LlamaStack's OpenAI-compatible endpoint) @@ -357,7 +357,7 @@ def check_vector_stores_exist(self, pipelines: "list[Pipeline]") -> "bool": def load_vector_stores(self) -> "bool": """ - loads vector stores from Llama Stack and map them by category. + loads vector stores from OGX and map them by category. raises:: NoVectorStoresFoundError if no vector stores are found. """ @@ -409,7 +409,7 @@ def get_file_search_tool( ) -> "dict[str, Any] | None": """ gets file_search tool configuration for OpenAI responses API. - This tool format works with both OpenAI SDK and Llama Stack's + This tool format works with both OpenAI SDK and OGX's OpenAI-compatible endpoint. """ vector_store_ids = self.get_vector_store_ids(category) diff --git a/src/utils.py b/src/utils.py index dbeb978..976a80e 100644 --- a/src/utils.py +++ b/src/utils.py @@ -191,12 +191,12 @@ def extract_mcp_output( return mcp_output -def check_llama_stack_availability( +def check_ogx_availability( base_url: "str", required_models: "list[str] | None" = None, ) -> "dict[str, Any]": """ - checks llama-stack server connectivity and model availability. + checks OGX server connectivity and model availability. Makes sure that all required models are present on the server. """ result: "dict[str, Any]" = { @@ -234,16 +234,16 @@ def check_llama_stack_availability( error_str = str(e) if "Connection refused" in error_str or "ConnectError" in error_str: result["error_message"] = ( - f"Cannot connect to Llama Stack server at {base_url}. " + f"Cannot connect to OGX server at {base_url}. " "Please ensure the server is running." ) elif "timeout" in error_str.lower(): result["error_message"] = ( - f"Connection to Llama Stack at {base_url} timed out." + f"Connection to OGX at {base_url} timed out." ) else: - result["error_message"] = f"Llama Stack connection failed: {error_str}" + result["error_message"] = f"OGX connection failed: {error_str}" - logger.error(f"Llama Stack health check failed: {result['error_message']}") + logger.error(f"OGX health check failed: {result['error_message']}") return result diff --git a/streamlit_app.py b/streamlit_app.py index 10f15a1..bb1d8ec 100644 --- a/streamlit_app.py +++ b/streamlit_app.py @@ -22,7 +22,7 @@ from src.responses import RAGService from src.types import Pipeline, WorkflowState from src.utils import ( - check_llama_stack_availability, + check_ogx_availability, ingestion_lock, logger, submission_states, @@ -55,7 +55,7 @@ # GITHUB_ID: GitHub user ID GITHUB_ID = os.getenv("GITHUB_ID", "not applicable") -# LLAMA_STACK_URL: URL of the Llama Stack server +# LLAMA_STACK_URL: URL of the OGX server LLAMA_STACK_URL = os.getenv("LLAMA_STACK_URL", DEFAULT_LLAMA_STACK_URL) # INGESTION_CONFIG: Path to the ingestion configuration file @@ -228,30 +228,30 @@ def count_vector_stores() -> "int": return 0 -def get_llama_stack_status() -> "dict[str, Any]": +def get_ogx_status() -> "dict[str, Any]": """ - gets or initializes llama-stack status state. + gets or initializes OGX status state. Tracks connectivity and model availability. """ - if "llama_stack_status" not in st.session_state: - st.session_state.llama_stack_status = { + if "ogx_status" not in st.session_state: + st.session_state.ogx_status = { "connected": False, "checked": False, "error_message": "", "available_models": [], "missing_models": [], } - return st.session_state.llama_stack_status + return st.session_state.ogx_status -def check_llama_stack_health() -> "dict[str, Any]": +def check_ogx_health() -> "dict[str, Any]": """ - performs health check of llama-stack: connectivity and model availability. + performs health check of OGX: connectivity and model availability. """ - status = get_llama_stack_status() + status = get_ogx_status() required_models = [INFERENCE_MODEL, GUARDRAIL_MODEL, MCP_TOOL_MODEL] - result = check_llama_stack_availability(LLAMA_STACK_URL, required_models) + result = check_ogx_availability(LLAMA_STACK_URL, required_models) status["connected"] = result["connected"] status["error_message"] = result["error_message"] @@ -262,12 +262,12 @@ def check_llama_stack_health() -> "dict[str, Any]": return status -def render_llama_stack_errors() -> "bool": +def render_ogx_errors() -> "bool": """ - renders error banners for llama-stack issues in sidebar. + renders error banners for OGX issues in sidebar. Returns True if there are blocking errors (no connection or missing models). """ - status = get_llama_stack_status() + status = get_ogx_status() if not status["checked"]: return False @@ -275,14 +275,14 @@ def render_llama_stack_errors() -> "bool": # connection error case if not status["connected"]: st.error( - "**Llama Stack Unavailable**\n\n" + "**OGX Unavailable**\n\n" f"{status['error_message']}\n\n" "**To fix:**\n" - f"- Start Llama Stack at `{LLAMA_STACK_URL}`\n" + f"- Start OGX at `{LLAMA_STACK_URL}`\n" "- Or set `LLAMA_STACK_URL` to the correct address" ) if st.button("Retry Connection"): - check_llama_stack_health() + check_ogx_health() st.rerun() return True @@ -291,9 +291,9 @@ def render_llama_stack_errors() -> "bool": missing_list = "\n".join([f"- `{m}`" for m in status["missing_models"]]) st.error( "**Models Not Found**\n\n" - f"These models are not available in Llama Stack:\n{missing_list}\n\n" + f"These models are not available in OGX:\n{missing_list}\n\n" "**To fix:**\n" - "- Check your Llama Stack `run.yaml` configuration\n" + "- Check your OGX `run.yaml` configuration\n" "- Or update the model environment variables" ) return True @@ -355,21 +355,21 @@ async def run_ingestion_pipeline() -> "None": try: ingestion_state["status"] = "running" - ingestion_state["message"] = "Checking llama-stack server availability..." + ingestion_state["message"] = "Checking OGX server availability..." logger.info("Starting Ingestion Service...") - # verify llama-stack server is reachable before ingestion + # verify OGX server is reachable before ingestion try: async with httpx.AsyncClient(timeout=5.0) as client: response = await client.get(f"{LLAMA_STACK_URL}/v1/health") if response.status_code != 200: raise Exception( - f"Llama-stack server returned status {response.status_code}" + f"OGX server returned status {response.status_code}" ) - logger.info("βœ“ Llama-stack server is available") + logger.info("βœ“ OGX server is available") except Exception as e: raise Exception( - f"Llama-stack server not available at {LLAMA_STACK_URL}. " + f"OGX server not available at {LLAMA_STACK_URL}. " f"Please start the server first: {e}" ) @@ -836,10 +836,10 @@ def main() -> "None": initial_sidebar_state="expanded", ) - # check llama-stack health on first load - llama_stack_status = get_llama_stack_status() - if not llama_stack_status["checked"]: - llama_stack_status = check_llama_stack_health() + # check OGX health on first load + ogx_status = get_ogx_status() + if not ogx_status["checked"]: + ogx_status = check_ogx_health() # ingestion state runs automatically on startup ingestion_state = get_ingestion_state() @@ -847,20 +847,20 @@ def main() -> "None": with st.sidebar: st.title("βš™οΈ Configuration") - # show llama-stack connection status - if llama_stack_status["checked"]: - if llama_stack_status["connected"]: - st.success("**Llama Stack:** Connected") + # show OGX connection status + if ogx_status["checked"]: + if ogx_status["connected"]: + st.success("**OGX:** Connected") else: - st.error("**Llama Stack:** Disconnected") + st.error("**OGX:** Disconnected") st.markdown(f"**Inference Model:** `{INFERENCE_MODEL}`") st.markdown(f"**Guardrail Model:** `{GUARDRAIL_MODEL}`") st.markdown(f"**MCP Tool Model:** `{MCP_TOOL_MODEL}`") st.divider() - # render llama-stack errors - has_blocking_error = render_llama_stack_errors() + # render OGX errors + has_blocking_error = render_ogx_errors() if has_blocking_error: st.divider() @@ -886,19 +886,19 @@ def main() -> "None": st.metric("Vector Stores in Database", vector_store_count) st.divider() - # block workflow if llama-stack is not connected - if not llama_stack_status["connected"]: + # block workflow if OGX is not connected + if not ogx_status["connected"]: st.title("πŸ€– Agentic AI Workflow - Connection Error") st.error( - "**Cannot start workflow: Llama Stack is not available**\n\n" - f"{llama_stack_status['error_message']}\n\n" + "**Cannot start workflow: OGX is not available**\n\n" + f"{ogx_status['error_message']}\n\n" "Please check the sidebar for details on how to resolve this issue." ) return # block workflow if required models are not available - if llama_stack_status.get("missing_models"): - missing_list = ", ".join(llama_stack_status["missing_models"]) + if ogx_status.get("missing_models"): + missing_list = ", ".join(ogx_status["missing_models"]) st.title("πŸ€– Agentic AI Workflow - Model Error") st.error( "**Cannot start workflow: Required models are not available**\n\n" diff --git a/tests/conftest.py b/tests/conftest.py index 73d3f96..aa15207 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -87,7 +87,7 @@ def sample_metadata_file(temp_dir, sample_file_metadata): @pytest.fixture -def mock_llama_stack_client(): +def mock_ogx_client(): client = Mock() client.models.list.return_value = [] client.vector_stores.list.return_value = [] @@ -181,13 +181,13 @@ def mock_document_converter(): @pytest.fixture -def mock_llama_stack_availability(): +def mock_ogx_availability(): """ - fixture that patches check_llama_stack_availability to return connected status. + fixture that patches check_ogx_availability to return connected status. Use this in tests that need IngestionService initialization. """ with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ) as mock: yield mock diff --git a/tests/test_ingest.py b/tests/test_ingest.py index 6806c74..318ee7b 100644 --- a/tests/test_ingest.py +++ b/tests/test_ingest.py @@ -15,13 +15,13 @@ class TestIngestionServiceInit: tests for IngestionService initialization. """ - def test_init_with_valid_config(self, sample_config_file, mock_llama_stack_client): + def test_init_with_valid_config(self, sample_config_file, mock_ogx_client): with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): service = IngestionService(sample_config_file) @@ -33,7 +33,7 @@ def test_init_with_valid_config(self, sample_config_file, mock_llama_stack_clien assert isinstance(service.pipelines, list) def test_init_with_invalid_config_missing_llamastack( - self, temp_dir, mock_llama_stack_client + self, temp_dir, mock_ogx_client ): invalid_config = {"vector_db": {}, "pipelines": {}} config_path = os.path.join(temp_dir, "invalid.yaml") @@ -41,41 +41,41 @@ def test_init_with_invalid_config_missing_llamastack( yaml.dump(invalid_config, f) with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): with pytest.raises(SystemExit): IngestionService(config_path) def test_init_with_github_token( - self, sample_config_file, mock_llama_stack_client, monkeypatch + self, sample_config_file, mock_ogx_client, monkeypatch ): monkeypatch.setenv("GITHUB_TOKEN", "test-token") with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): service = IngestionService(sample_config_file) assert service.gh_client is not None def test_init_without_github_token( - self, sample_config_file, mock_llama_stack_client, monkeypatch + self, sample_config_file, mock_ogx_client, monkeypatch ): monkeypatch.delenv("GITHUB_TOKEN", raising=False) with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): service = IngestionService(sample_config_file) assert service.gh_client is not None @@ -83,35 +83,35 @@ def test_init_without_github_token( class TestInitializeLlamaStackClient: """ - tests for _initialize_llama_stack_client method. + tests for _initialize_ogx_client method. """ def test_successful_connection_on_first_attempt( - self, sample_config_file, mock_llama_stack_client + self, sample_config_file, mock_ogx_client ): with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): service = IngestionService(sample_config_file) assert service.client is not None def test_successful_connection_after_retry( - self, sample_config_file, mock_llama_stack_client + self, sample_config_file, mock_ogx_client ): # First attempt fails, second succeeds with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", side_effect=[ {"connected": False, "error_message": "Connection refused"}, {"connected": True, "error_message": ""}, ], ): with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): with patch("src.ingest.time.sleep"): service = IngestionService(sample_config_file) @@ -119,7 +119,7 @@ def test_successful_connection_after_retry( def test_connection_failure_after_all_retries(self, sample_config_file): with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": False, "error_message": "Connection refused"}, ): with patch("src.ingest.time.sleep"): @@ -127,14 +127,14 @@ def test_connection_failure_after_all_retries(self, sample_config_file): IngestionService(sample_config_file) def test_connection_uses_correct_url( - self, sample_config_file, mock_llama_stack_client + self, sample_config_file, mock_ogx_client ): with patch( - "src.ingest.check_llama_stack_availability", + "src.ingest.check_ogx_availability", return_value={"connected": True, "error_message": ""}, ) as mock_check: with patch( - "src.ingest.OgxClient", return_value=mock_llama_stack_client + "src.ingest.OgxClient", return_value=mock_ogx_client ): service = IngestionService(sample_config_file) mock_check.assert_called_with("http://localhost:8321") @@ -146,14 +146,14 @@ class TestConfigValidation: """ def test_valid_config( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) assert service is not None def test_invalid_config_missing_vector_db( - self, temp_dir, mock_llama_stack_client, mock_llama_stack_availability + self, temp_dir, mock_ogx_client, mock_ogx_availability ): invalid_config = { "llamastack": {"base_url": "http://localhost:8321"}, @@ -163,7 +163,7 @@ def test_invalid_config_missing_vector_db( with open(config_path, "w") as f: yaml.dump(invalid_config, f) - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): with pytest.raises(SystemExit): IngestionService(config_path) @@ -174,9 +174,9 @@ class TestParsePipelines: """ def test_parse_github_pipeline( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) github_pipelines = [ @@ -187,9 +187,9 @@ def test_parse_github_pipeline( assert github_pipelines[0].source_config.branch == "main" def test_parse_url_pipeline( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) url_pipelines = [ @@ -198,7 +198,7 @@ def test_parse_url_pipeline( assert len(url_pipelines) > 0 def test_parse_disabled_pipeline( - self, temp_dir, mock_llama_stack_client, mock_llama_stack_availability + self, temp_dir, mock_ogx_client, mock_ogx_availability ): config = { "llamastack": {"base_url": "http://localhost:8321"}, @@ -218,7 +218,7 @@ def test_parse_disabled_pipeline( with open(config_path, "w") as f: yaml.dump(config, f) - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(config_path) assert len(service.pipelines) > 0 assert service.pipelines[0].enabled is False @@ -230,7 +230,7 @@ class TestFetchFromGithub: """ def test_fetch_from_github_with_valid_repo( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir, mock_github_repo + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir, mock_github_repo ): mock_pdf_content = Mock() mock_pdf_content.name = "test.pdf" @@ -240,7 +240,7 @@ def test_fetch_from_github_with_valid_repo( mock_github_repo.get_contents.return_value = [mock_pdf_content] - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=mock_github_repo): @@ -252,9 +252,9 @@ def test_fetch_from_github_with_valid_repo( assert pdf_files[0].endswith("test.pdf") def test_fetch_from_github_with_invalid_repo( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=None): @@ -265,7 +265,7 @@ def test_fetch_from_github_with_invalid_repo( assert pdf_files == [] def test_fetch_from_github_with_directory( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir, mock_github_repo + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir, mock_github_repo ): mock_dir = Mock() mock_dir.type = "dir" @@ -273,7 +273,7 @@ def test_fetch_from_github_with_directory( mock_github_repo.get_contents.return_value = [mock_dir] - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "_get_github_repo", return_value=mock_github_repo): @@ -294,9 +294,9 @@ class TestFetchFromUrl: @pytest.mark.anyio async def test_fetch_from_url_success( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) mock_response = Mock() @@ -312,9 +312,9 @@ async def test_fetch_from_url_success( @pytest.mark.anyio async def test_fetch_from_url_with_error( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch("src.ingest.requests.get", side_effect=Exception("Network error")): @@ -325,9 +325,9 @@ async def test_fetch_from_url_with_error( @pytest.mark.anyio async def test_fetch_from_url_without_pdf_extension( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) mock_response = Mock() @@ -349,9 +349,9 @@ class TestProcessDocuments: @pytest.mark.anyio async def test_process_documents_success( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, sample_pdf_file + self, sample_config_file, mock_ogx_client, mock_ogx_availability, sample_pdf_file ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) mock_file_response = Mock() @@ -380,9 +380,9 @@ async def test_process_documents_success( @pytest.mark.anyio async def test_process_documents_with_error( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, sample_pdf_file + self, sample_config_file, mock_ogx_client, mock_ogx_availability, sample_pdf_file ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object( @@ -402,9 +402,9 @@ class TestCreateVectorDb: @pytest.mark.anyio async def test_create_vector_db_success( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) mock_doc = Mock() @@ -417,9 +417,9 @@ async def test_create_vector_db_success( @pytest.mark.anyio async def test_create_vector_db_with_no_documents( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) result = await service.create_vector_db("test-vector-db", []) @@ -428,9 +428,9 @@ async def test_create_vector_db_with_no_documents( @pytest.mark.anyio async def test_create_vector_db_already_exists( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - mock_llama_stack_client.vector_stores.create.side_effect = Exception( + mock_ogx_client.vector_stores.create.side_effect = Exception( "already exists" ) @@ -438,11 +438,11 @@ async def test_create_vector_db_already_exists( mock_existing_vs = Mock() mock_existing_vs.name = "test-vector-db" mock_existing_vs.id = "existing-vector-store-id" - mock_llama_stack_client.vector_stores.list.return_value = Mock( + mock_ogx_client.vector_stores.list.return_value = Mock( data=[mock_existing_vs] ) - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) mock_doc = Mock() @@ -459,9 +459,9 @@ class TestSaveFileMetadata: """ def test_save_file_metadata_success( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) service.file_metadata = { @@ -480,9 +480,9 @@ def test_save_file_metadata_success( assert saved_metadata == service.file_metadata def test_save_file_metadata_with_empty_metadata( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability, temp_dir + self, sample_config_file, mock_ogx_client, mock_ogx_availability, temp_dir ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) service.file_metadata = {} @@ -501,9 +501,9 @@ class TestProcessPipeline: @pytest.mark.anyio async def test_process_pipeline_disabled( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) disabled_pipeline = Pipeline( @@ -521,9 +521,9 @@ async def test_process_pipeline_disabled( @pytest.mark.anyio async def test_process_pipeline_with_github_source( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) github_pipeline = Pipeline( @@ -547,9 +547,9 @@ async def test_process_pipeline_with_github_source( @pytest.mark.anyio async def test_process_pipeline_with_url_source( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) url_pipeline = Pipeline( @@ -576,9 +576,9 @@ class TestRun: @pytest.mark.anyio async def test_run_with_successful_pipelines( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", return_value=True): @@ -587,9 +587,9 @@ async def test_run_with_successful_pipelines( @pytest.mark.anyio async def test_run_with_failed_pipelines( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", return_value=False): @@ -599,9 +599,9 @@ async def test_run_with_failed_pipelines( @pytest.mark.anyio async def test_run_with_mixed_results( - self, sample_config_file, mock_llama_stack_client, mock_llama_stack_availability + self, sample_config_file, mock_ogx_client, mock_ogx_availability ): - with patch("src.ingest.OgxClient", return_value=mock_llama_stack_client): + with patch("src.ingest.OgxClient", return_value=mock_ogx_client): service = IngestionService(sample_config_file) with patch.object(service, "process_pipeline", side_effect=[True, False]): diff --git a/tests/test_responses.py b/tests/test_responses.py index ca1c1f6..1425bbc 100644 --- a/tests/test_responses.py +++ b/tests/test_responses.py @@ -156,12 +156,12 @@ class TestInitialize: tests for initialize method. """ - def test_initialize_success(self, mock_llama_stack_client): + def test_initialize_success(self, mock_ogx_client): pipelines = [] service = RAGService(pipelines=pipelines) with patch( - "src.responses.OgxClient", return_value=mock_llama_stack_client + "src.responses.OgxClient", return_value=mock_ogx_client ): with patch("src.responses.OpenAI") as mock_openai: with patch.object(service, "load_vector_stores", return_value=True): @@ -189,7 +189,7 @@ class TestLoadVectorStores: tests for load_vector_stores method. """ - def test_load_vector_stores_success(self, mock_llama_stack_client): + def test_load_vector_stores_success(self, mock_ogx_client): mock_vs1 = Mock() mock_vs1.id = "legal-vs-id" mock_vs1.name = "legal-vector-db" @@ -198,13 +198,13 @@ def test_load_vector_stores_success(self, mock_llama_stack_client): mock_vs2.id = "hr-vs-id" mock_vs2.name = "hr-vector-db" - mock_llama_stack_client.vector_stores.list.return_value = Mock( + mock_ogx_client.vector_stores.list.return_value = Mock( data=[mock_vs1, mock_vs2] ) pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client result = service.load_vector_stores() @@ -213,12 +213,12 @@ def test_load_vector_stores_success(self, mock_llama_stack_client): assert "legal" in service.vector_store_map assert "hr" in service.vector_store_map - def test_load_vector_stores_with_no_stores(self, mock_llama_stack_client): - mock_llama_stack_client.vector_stores.list.return_value = [] + def test_load_vector_stores_with_no_stores(self, mock_ogx_client): + mock_ogx_client.vector_stores.list.return_value = [] pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client with pytest.raises(NoVectorStoresFoundError) as exc_info: service.load_vector_stores() @@ -487,18 +487,18 @@ class TestGetFilesFromVectorStore: """ def test_get_files_from_vector_store_success( - self, mock_llama_stack_client, sample_metadata_file + self, mock_ogx_client, sample_metadata_file ): pipelines = [] service = RAGService( pipelines=pipelines, file_metadata_path=sample_metadata_file ) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.vector_store_map = {"legal": ["legal-vs-id"]} mock_file = Mock() mock_file.id = "file-id-1" - mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + mock_ogx_client.vector_stores_files.list.return_value = Mock( data=[mock_file] ) @@ -516,13 +516,13 @@ def test_get_files_from_vector_store_without_client(self): assert sources == [] - def test_get_files_from_vector_store_with_error(self, mock_llama_stack_client): + def test_get_files_from_vector_store_with_error(self, mock_ogx_client): pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.vector_store_map = {"legal": ["legal-vs-id"]} - mock_llama_stack_client.vector_stores_files.list.side_effect = Exception( + mock_ogx_client.vector_stores_files.list.side_effect = Exception( "Error" ) @@ -624,17 +624,17 @@ def test_skips_validation_without_client(self): # Metadata should remain unchanged assert "old-file-id" in service.file_metadata - def test_skips_regeneration_when_metadata_matches(self, mock_llama_stack_client): + def test_skips_regeneration_when_metadata_matches(self, mock_ogx_client): """Test that regeneration is skipped when metadata matches vector store files.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.vector_store_map = {"legal": ["legal-vs-id"]} # Setup: file in vector store matches metadata mock_file = Mock() mock_file.id = "file-id-1" - mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + mock_ogx_client.vector_stores_files.list.return_value = Mock( data=[mock_file] ) @@ -651,18 +651,18 @@ def test_skips_regeneration_when_metadata_matches(self, mock_llama_stack_client) # Metadata should remain unchanged (not regenerated) assert service.file_metadata["file-id-1"]["original_filename"] == "test.pdf" - def test_triggers_regeneration_when_metadata_mismatch(self, mock_llama_stack_client): + def test_triggers_regeneration_when_metadata_mismatch(self, mock_ogx_client): """Test that regeneration is triggered when metadata doesn't match.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.vector_store_map = {"legal": ["legal-vs-id"]} service.source_url_map = {"legal": "https://github.com/test/repo/blob/main/docs"} # Setup: file in vector store does NOT match metadata mock_file = Mock() mock_file.id = "new-file-id" # Different from metadata - mock_llama_stack_client.vector_stores_files.list.return_value = Mock( + mock_ogx_client.vector_stores_files.list.return_value = Mock( data=[mock_file] ) @@ -678,7 +678,7 @@ def test_triggers_regeneration_when_metadata_mismatch(self, mock_llama_stack_cli # Mock files.retrieve to return filename mock_file_info = Mock() mock_file_info.filename = "NewDocument.txt" - mock_llama_stack_client.files.retrieve.return_value = mock_file_info + mock_ogx_client.files.retrieve.return_value = mock_file_info service._validate_and_regenerate_metadata() @@ -686,14 +686,14 @@ def test_triggers_regeneration_when_metadata_mismatch(self, mock_llama_stack_cli assert "new-file-id" in service.file_metadata assert "old-file-id" not in service.file_metadata - def test_handles_empty_vector_stores(self, mock_llama_stack_client): + def test_handles_empty_vector_stores(self, mock_ogx_client): """Test handling when vector stores have no files.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.vector_store_map = {"legal": ["legal-vs-id"]} - mock_llama_stack_client.vector_stores_files.list.return_value = [] + mock_ogx_client.vector_stores_files.list.return_value = [] service.file_metadata = {"old-file-id": {"original_filename": "test.pdf"}} @@ -708,17 +708,17 @@ class TestRegenerateFileMetadata: tests for _regenerate_file_metadata method. """ - def test_regenerates_metadata_with_valid_filename(self, mock_llama_stack_client): - """Test regeneration with a valid filename from Llama Stack.""" + def test_regenerates_metadata_with_valid_filename(self, mock_ogx_client): + """Test regeneration with a valid filename from OGX.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.source_url_map = {"legal": "https://github.com/test/repo/blob/main/docs"} # Mock files.retrieve to return a .txt filename (as ingested) mock_file_info = Mock() mock_file_info.filename = "TestDocument.txt" - mock_llama_stack_client.files.retrieve.return_value = mock_file_info + mock_ogx_client.files.retrieve.return_value = mock_file_info file_id_to_category = {"file-123": "legal"} @@ -732,16 +732,16 @@ def test_regenerates_metadata_with_valid_filename(self, mock_llama_stack_client) ) assert service.file_metadata["file-123"]["category"] == "legal" - def test_regenerates_metadata_with_path_in_filename(self, mock_llama_stack_client): + def test_regenerates_metadata_with_path_in_filename(self, mock_ogx_client): """Test that full paths in filename are cleaned up.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.source_url_map = {"hr": "https://github.com/test/repo/blob/main/hr"} mock_file_info = Mock() mock_file_info.filename = "/tmp/downloads/HRPolicy.txt" - mock_llama_stack_client.files.retrieve.return_value = mock_file_info + mock_ogx_client.files.retrieve.return_value = mock_file_info file_id_to_category = {"file-456": "hr"} @@ -749,16 +749,16 @@ def test_regenerates_metadata_with_path_in_filename(self, mock_llama_stack_clien assert service.file_metadata["file-456"]["original_filename"] == "HRPolicy.pdf" - def test_fallback_for_temp_filename(self, mock_llama_stack_client): + def test_fallback_for_temp_filename(self, mock_ogx_client): """Test fallback when filename looks like a random temp file.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.source_url_map = {"legal": "https://github.com/test/repo/blob/main/docs"} mock_file_info = Mock() mock_file_info.filename = "tmp12345678.txt" # Random temp filename - mock_llama_stack_client.files.retrieve.return_value = mock_file_info + mock_ogx_client.files.retrieve.return_value = mock_file_info file_id_to_category = {"file-789": "legal"} @@ -770,15 +770,15 @@ def test_fallback_for_temp_filename(self, mock_llama_stack_client): "https://github.com/test/repo/blob/main/docs" ) - def test_fallback_when_no_filename(self, mock_llama_stack_client): + def test_fallback_when_no_filename(self, mock_ogx_client): """Test fallback when file info has no filename.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.source_url_map = {"sales": "https://github.com/test/repo/blob/main/sales"} mock_file_info = Mock(spec=[]) # No filename attribute - mock_llama_stack_client.files.retrieve.return_value = mock_file_info + mock_ogx_client.files.retrieve.return_value = mock_file_info file_id_to_category = {"file-abc": "sales"} @@ -786,14 +786,14 @@ def test_fallback_when_no_filename(self, mock_llama_stack_client): assert service.file_metadata["file-abc"]["original_filename"] == "Document from sales" - def test_fallback_when_retrieve_fails(self, mock_llama_stack_client): + def test_fallback_when_retrieve_fails(self, mock_ogx_client): """Test fallback when files.retrieve raises an exception.""" pipelines = [] service = RAGService(pipelines=pipelines) - service.client = mock_llama_stack_client + service.client = mock_ogx_client service.source_url_map = {"procurement": "https://github.com/test/repo/blob/main/procurement"} - mock_llama_stack_client.files.retrieve.side_effect = Exception("File not found") + mock_ogx_client.files.retrieve.side_effect = Exception("File not found") file_id_to_category = {"file-xyz": "procurement"} diff --git a/tests/test_utils.py b/tests/test_utils.py index 46ccbc1..0c7daac 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -2,7 +2,7 @@ from unittest.mock import Mock, patch from src.utils import ( - check_llama_stack_availability, + check_ogx_availability, clean_text, extract_mcp_output, extract_rag_response_text, @@ -359,7 +359,7 @@ def test_extract_mcp_output_without_output_attribute(self): class TestCheckLlamaStackAvailability: """ - tests for check_llama_stack_availability function. + tests for check_ogx_availability function. """ def test_successful_connection_without_model_check(self): @@ -367,7 +367,7 @@ def test_successful_connection_without_model_check(self): mock_client.models.list.return_value = [] with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability("http://localhost:8321") + result = check_ogx_availability("http://localhost:8321") assert result["connected"] is True assert result["error_message"] == "" @@ -384,7 +384,7 @@ def test_successful_connection_with_all_models_available(self): mock_client.models.list.return_value = Mock(data=[mock_model1, mock_model2]) with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=["model-1", "model-2"], ) @@ -402,7 +402,7 @@ def test_successful_connection_with_some_models_missing(self): mock_client.models.list.return_value = Mock(data=[mock_model]) with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=["model-1", "model-2", "model-3"], ) @@ -417,7 +417,7 @@ def test_successful_connection_with_all_models_missing(self): mock_client.models.list.return_value = [] with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=["model-1", "model-2"], ) @@ -431,10 +431,10 @@ def test_connection_refused_error(self): "src.utils.OgxClient", side_effect=Exception("Connection refused"), ): - result = check_llama_stack_availability("http://localhost:8321") + result = check_ogx_availability("http://localhost:8321") assert result["connected"] is False - assert "Cannot connect to Llama Stack server" in result["error_message"] + assert "Cannot connect to OGX server" in result["error_message"] assert "http://localhost:8321" in result["error_message"] assert result["available_models"] == [] assert result["missing_models"] == [] @@ -444,17 +444,17 @@ def test_connect_error(self): "src.utils.OgxClient", side_effect=Exception("ConnectError: Failed to establish connection"), ): - result = check_llama_stack_availability("http://localhost:8321") + result = check_ogx_availability("http://localhost:8321") assert result["connected"] is False - assert "Cannot connect to Llama Stack server" in result["error_message"] + assert "Cannot connect to OGX server" in result["error_message"] def test_timeout_error(self): with patch( "src.utils.OgxClient", side_effect=Exception("Request timeout exceeded"), ): - result = check_llama_stack_availability("http://localhost:8321") + result = check_ogx_availability("http://localhost:8321") assert result["connected"] is False assert "timed out" in result["error_message"] @@ -464,10 +464,10 @@ def test_generic_error(self): "src.utils.OgxClient", side_effect=Exception("Some unexpected error"), ): - result = check_llama_stack_availability("http://localhost:8321") + result = check_ogx_availability("http://localhost:8321") assert result["connected"] is False - assert "Llama Stack connection failed" in result["error_message"] + assert "OGX connection failed" in result["error_message"] assert "Some unexpected error" in result["error_message"] def test_model_with_id_attribute_instead_of_identifier(self): @@ -478,7 +478,7 @@ def test_model_with_id_attribute_instead_of_identifier(self): mock_client.models.list.return_value = Mock(data=[mock_model]) with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=["model-with-id"], ) @@ -492,7 +492,7 @@ def test_empty_required_models_list(self): mock_client.models.list.return_value = [] with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=[], ) @@ -506,7 +506,7 @@ def test_none_models_response(self): mock_client.models.list.return_value = None with patch("src.utils.OgxClient", return_value=mock_client): - result = check_llama_stack_availability( + result = check_ogx_availability( "http://localhost:8321", required_models=["model-1"], ) From 722da832d190090bc53048694e1d41c628e29542 Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 12 Oct 2026 16:28:42 -0400 Subject: [PATCH 6/7] fix typos Signed-off-by: Lucas --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6442896..138b88f 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ For example ```bash # only required if you do not override the GUARDRAIL_MODEL environment variable -ollama pull llama-guard3:1b +ollama pull llama-guard3.1:8b # embedding model required by the vector store / RAG file search; the server # refuses to start without it ollama pull all-minilm:l6-v2 @@ -43,7 +43,7 @@ The OGX server validates its configured embedding model (`all-minilm:l6-v2`) at startup, so pulling it is mandatory for a local run even if you are not using RAG file search. -You can also employ `ollama run llama-guard3:1b --keepalive 60m` for each of those models if ollama is already running. When their +You can also employ `ollama run llama-guard3.1:8b --keepalive 60m` for each of those models if ollama is already running. When their startup completes, type `/bye` and the provided prompt to return to your terminal. We also recommend you find a model that grades well for tool calling, register it with OGX, and set the From 714c0b93d2f7a960bd59282fc4f9bc5e771fe7e9 Mon Sep 17 00:00:00 2001 From: Lucas Date: Mon, 12 Oct 2026 16:55:00 -0400 Subject: [PATCH 7/7] MCP token error fixed Signed-off-by: Lucas --- src/methods.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/methods.py b/src/methods.py index 927a0bf..9ab8c2b 100644 --- a/src/methods.py +++ b/src/methods.py @@ -365,7 +365,7 @@ def git_agent( "type": "mcp", "server_label": "github", "server_url": "https://api.githubcopilot.com/mcp/", - "headers": {"Authorization": f"Bearer {git_token}"}, + "authorization": git_token, "allowed_tools": ["issue_write", "add_issue_comment"], }