diff --git a/.github/workflows/publish-elevenlabs-moss.yml b/.github/workflows/publish-elevenlabs-moss.yml new file mode 100644 index 00000000..eeeb5bf6 --- /dev/null +++ b/.github/workflows/publish-elevenlabs-moss.yml @@ -0,0 +1,111 @@ +name: Publish elevenlabs-moss + +permissions: + contents: read + +on: + workflow_dispatch: + +concurrency: + group: elevenlabs-moss-release + cancel-in-progress: false + +jobs: + determine-version: + runs-on: ubuntu-latest + outputs: + version: ${{ steps.compute.outputs.version }} + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Read version from pyproject + id: compute + shell: python + run: | + import os, pathlib, re, sys + + text = pathlib.Path("packages/elevenlabs-moss/pyproject.toml").read_text(encoding="utf-8") + match = re.search(r'(?m)^version\s*=\s*"([^"]+)"', text) + if not match: + print("Could not find version in pyproject", file=sys.stderr) + sys.exit(1) + version = match.group(1) + + out = pathlib.Path(os.environ["GITHUB_OUTPUT"]) + with out.open("a", encoding="utf-8") as fh: + fh.write(f"version={version}\n") + + print(f"Publishing version: {version}") + + build-and-publish: + needs: determine-version + strategy: + fail-fast: false + matrix: + python: ["3.10", "3.11", "3.12", "3.13", "3.14"] + runs-on: ubuntu-latest + permissions: + contents: write + env: + VERSION: ${{ needs.determine-version.outputs.version }} + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python }} + + - name: Install build tooling + run: | + python -m pip install --upgrade pip + pip install build twine + + - name: Build distributions + working-directory: packages/elevenlabs-moss + run: | + rm -rf dist + python -m build + + - name: Smoke test import + shell: python + run: | + import glob, subprocess, sys + + wheels = glob.glob("packages/elevenlabs-moss/dist/*.whl") + if not wheels: + raise SystemExit("No wheel found in dist/") + + wheel = wheels[0] + subprocess.check_call([sys.executable, "-m", "pip", "install", "--force-reinstall", wheel]) + + import importlib + module = importlib.import_module("elevenlabs_moss") + print("import ok; sample attrs:", dir(module)[:5]) + + - name: Publish to PyPI + if: matrix.python == '3.11' + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} + run: | + twine upload --skip-existing packages/elevenlabs-moss/dist/* + + - name: Tag release + if: matrix.python == '3.11' + env: + VERSION: ${{ env.VERSION }} + run: | + git fetch --tags --force + if git rev-parse "elevenlabs-moss-v${VERSION}" >/dev/null 2>&1; then + echo "Tag elevenlabs-moss-v${VERSION} already exists" + else + git config user.name "github-actions" + git config user.email "github-actions@users.noreply.github.com" + git tag "elevenlabs-moss-v${VERSION}" + git push origin "elevenlabs-moss-v${VERSION}" + fi diff --git a/.github/workflows/publish-moss-cli.yml b/.github/workflows/publish-moss-cli.yml new file mode 100644 index 00000000..7fb57aa1 --- /dev/null +++ b/.github/workflows/publish-moss-cli.yml @@ -0,0 +1,111 @@ +name: Publish moss-cli + +permissions: + contents: read + +on: + workflow_dispatch: + +concurrency: + group: moss-cli-release + cancel-in-progress: false + +jobs: + determine-version: + runs-on: ubuntu-latest + outputs: + version: ${{ steps.compute.outputs.version }} + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Read version from pyproject + id: compute + shell: python + run: | + import os, pathlib, re, sys + + text = pathlib.Path("packages/moss-cli/pyproject.toml").read_text(encoding="utf-8") + match = re.search(r'(?m)^version\s*=\s*"([^"]+)"', text) + if not match: + print("Could not find version in pyproject", file=sys.stderr) + sys.exit(1) + version = match.group(1) + + out = pathlib.Path(os.environ["GITHUB_OUTPUT"]) + with out.open("a", encoding="utf-8") as fh: + fh.write(f"version={version}\n") + + print(f"Publishing version: {version}") + + build-and-publish: + needs: determine-version + strategy: + fail-fast: false + matrix: + python: ["3.10", "3.11", "3.12", "3.13", "3.14"] + runs-on: ubuntu-latest + permissions: + contents: write + env: + VERSION: ${{ needs.determine-version.outputs.version }} + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python }} + + - name: Install build tooling + run: | + python -m pip install --upgrade pip + pip install build twine + + - name: Build distributions + working-directory: packages/moss-cli + run: | + rm -rf dist + python -m build + + - name: Smoke test import + shell: python + run: | + import glob, subprocess, sys + + wheels = glob.glob("packages/moss-cli/dist/*.whl") + if not wheels: + raise SystemExit("No wheel found in dist/") + + wheel = wheels[0] + subprocess.check_call([sys.executable, "-m", "pip", "install", "--force-reinstall", wheel]) + + import importlib + module = importlib.import_module("moss_cli") + print("import ok; sample attrs:", dir(module)[:5]) + + - name: Publish to PyPI + if: matrix.python == '3.11' + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} + run: | + twine upload --skip-existing packages/moss-cli/dist/* + + - name: Tag release + if: matrix.python == '3.11' + env: + VERSION: ${{ env.VERSION }} + run: | + git fetch --tags --force + if git rev-parse "moss-cli-v${VERSION}" >/dev/null 2>&1; then + echo "Tag moss-cli-v${VERSION} already exists" + else + git config user.name "github-actions" + git config user.email "github-actions@users.noreply.github.com" + git tag "moss-cli-v${VERSION}" + git push origin "moss-cli-v${VERSION}" + fi diff --git a/.github/workflows/publish-moss-md-indexer.yml b/.github/workflows/publish-moss-md-indexer.yml new file mode 100644 index 00000000..9031f03f --- /dev/null +++ b/.github/workflows/publish-moss-md-indexer.yml @@ -0,0 +1,88 @@ +name: Publish moss-md-indexer + +permissions: + contents: read + +on: + workflow_dispatch: + +concurrency: + group: moss-md-indexer-release + cancel-in-progress: false + +jobs: + determine-version: + runs-on: ubuntu-latest + outputs: + version: ${{ steps.compute.outputs.version }} + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-node@v4 + with: + node-version: "20" + + - name: Get version from package.json + id: compute + shell: bash + run: | + cd packages/moss-md-indexer + VERSION=$(node -p "require('./package.json').version") + + if [[ -z "$VERSION" || "$VERSION" == "undefined" ]]; then + echo "Could not read version from package.json" >&2 + exit 1 + fi + + echo "version=${VERSION}" >> $GITHUB_OUTPUT + echo "Publishing version: $VERSION" + + build-and-publish: + needs: determine-version + runs-on: ubuntu-latest + permissions: + contents: write + + env: + PKG_DIR: packages/moss-md-indexer + VERSION: ${{ needs.determine-version.outputs.version }} + + steps: + - uses: actions/checkout@v4 + + - uses: pnpm/action-setup@v4 + with: + version: latest + + - uses: actions/setup-node@v4 + with: + node-version: "20" + registry-url: "https://registry.npmjs.org" + cache: "pnpm" + cache-dependency-path: ${{ env.PKG_DIR }}/pnpm-lock.yaml + + - name: Show version to be published + run: echo "Publishing version ${{ env.VERSION }}" + + - name: Install dependencies + working-directory: ${{ env.PKG_DIR }} + run: pnpm install --frozen-lockfile + + - name: Build package + working-directory: ${{ env.PKG_DIR }} + run: pnpm build + + - name: Publish to npm + working-directory: ${{ env.PKG_DIR }} + env: + NODE_AUTH_TOKEN: ${{ secrets.NPM_PUBLISH_TOKEN }} + run: pnpm publish --no-git-checks --access public + + - name: Tag release + env: + VERSION: ${{ env.VERSION }} + run: | + git config user.name "github-actions" + git config user.email "github-actions@users.noreply.github.com" + git tag "moss-md-indexer-v${VERSION}" + git push origin "moss-md-indexer-v${VERSION}" diff --git a/.github/workflows/publish-pipecat-moss.yml b/.github/workflows/publish-pipecat-moss.yml index 391f18f2..74b0dda2 100644 --- a/.github/workflows/publish-pipecat-moss.yml +++ b/.github/workflows/publish-pipecat-moss.yml @@ -1,5 +1,8 @@ name: Publish pipecat-moss +permissions: + contents: read + on: workflow_dispatch: @@ -56,7 +59,7 @@ jobs: strategy: fail-fast: false matrix: - python: ["3.10", "3.11", "3.12", "3.13"] + python: ["3.10", "3.11", "3.12", "3.13", "3.14"] runs-on: ubuntu-latest permissions: contents: write diff --git a/.github/workflows/publish-strands-agents-moss.yml b/.github/workflows/publish-strands-agents-moss.yml new file mode 100644 index 00000000..fb0c7fd5 --- /dev/null +++ b/.github/workflows/publish-strands-agents-moss.yml @@ -0,0 +1,111 @@ +name: Publish strands-agents-moss + +permissions: + contents: read + +on: + workflow_dispatch: + +concurrency: + group: strands-agents-moss-release + cancel-in-progress: false + +jobs: + determine-version: + runs-on: ubuntu-latest + outputs: + version: ${{ steps.compute.outputs.version }} + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Read version from pyproject + id: compute + shell: python + run: | + import os, pathlib, re, sys + + text = pathlib.Path("packages/strands-agents-moss/pyproject.toml").read_text(encoding="utf-8") + match = re.search(r'(?m)^version\s*=\s*"([^"]+)"', text) + if not match: + print("Could not find version in pyproject", file=sys.stderr) + sys.exit(1) + version = match.group(1) + + out = pathlib.Path(os.environ["GITHUB_OUTPUT"]) + with out.open("a", encoding="utf-8") as fh: + fh.write(f"version={version}\n") + + print(f"Publishing version: {version}") + + build-and-publish: + needs: determine-version + strategy: + fail-fast: false + matrix: + python: ["3.10", "3.11", "3.12", "3.13", "3.14"] + runs-on: ubuntu-latest + permissions: + contents: write + env: + VERSION: ${{ needs.determine-version.outputs.version }} + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python }} + + - name: Install build tooling + run: | + python -m pip install --upgrade pip + pip install build twine + + - name: Build distributions + working-directory: packages/strands-agents-moss + run: | + rm -rf dist + python -m build + + - name: Smoke test import + shell: python + run: | + import glob, subprocess, sys + + wheels = glob.glob("packages/strands-agents-moss/dist/*.whl") + if not wheels: + raise SystemExit("No wheel found in dist/") + + wheel = wheels[0] + subprocess.check_call([sys.executable, "-m", "pip", "install", "--force-reinstall", wheel]) + + import importlib + module = importlib.import_module("strands_agents_moss") + print("import ok; sample attrs:", dir(module)[:5]) + + - name: Publish to PyPI + if: matrix.python == '3.11' + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} + run: | + twine upload --skip-existing packages/strands-agents-moss/dist/* + + - name: Tag release + if: matrix.python == '3.11' + env: + VERSION: ${{ env.VERSION }} + run: | + git fetch --tags --force + if git rev-parse "strands-agents-moss-v${VERSION}" >/dev/null 2>&1; then + echo "Tag strands-agents-moss-v${VERSION} already exists" + else + git config user.name "github-actions" + git config user.email "github-actions@users.noreply.github.com" + git tag "strands-agents-moss-v${VERSION}" + git push origin "strands-agents-moss-v${VERSION}" + fi diff --git a/.github/workflows/publish-vapi-moss.yml b/.github/workflows/publish-vapi-moss.yml new file mode 100644 index 00000000..4fcd2b2e --- /dev/null +++ b/.github/workflows/publish-vapi-moss.yml @@ -0,0 +1,111 @@ +name: Publish vapi-moss + +permissions: + contents: read + +on: + workflow_dispatch: + +concurrency: + group: vapi-moss-release + cancel-in-progress: false + +jobs: + determine-version: + runs-on: ubuntu-latest + outputs: + version: ${{ steps.compute.outputs.version }} + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Read version from pyproject + id: compute + shell: python + run: | + import os, pathlib, re, sys + + text = pathlib.Path("packages/vapi-moss/pyproject.toml").read_text(encoding="utf-8") + match = re.search(r'(?m)^version\s*=\s*"([^"]+)"', text) + if not match: + print("Could not find version in pyproject", file=sys.stderr) + sys.exit(1) + version = match.group(1) + + out = pathlib.Path(os.environ["GITHUB_OUTPUT"]) + with out.open("a", encoding="utf-8") as fh: + fh.write(f"version={version}\n") + + print(f"Publishing version: {version}") + + build-and-publish: + needs: determine-version + strategy: + fail-fast: false + matrix: + python: ["3.10", "3.11", "3.12", "3.13", "3.14"] + runs-on: ubuntu-latest + permissions: + contents: write + env: + VERSION: ${{ needs.determine-version.outputs.version }} + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python }} + + - name: Install build tooling + run: | + python -m pip install --upgrade pip + pip install build twine + + - name: Build distributions + working-directory: packages/vapi-moss + run: | + rm -rf dist + python -m build + + - name: Smoke test import + shell: python + run: | + import glob, subprocess, sys + + wheels = glob.glob("packages/vapi-moss/dist/*.whl") + if not wheels: + raise SystemExit("No wheel found in dist/") + + wheel = wheels[0] + subprocess.check_call([sys.executable, "-m", "pip", "install", "--force-reinstall", wheel]) + + import importlib + module = importlib.import_module("vapi_moss") + print("import ok; sample attrs:", dir(module)[:5]) + + - name: Publish to PyPI + if: matrix.python == '3.11' + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} + run: | + twine upload --skip-existing packages/vapi-moss/dist/* + + - name: Tag release + if: matrix.python == '3.11' + env: + VERSION: ${{ env.VERSION }} + run: | + git fetch --tags --force + if git rev-parse "vapi-moss-v${VERSION}" >/dev/null 2>&1; then + echo "Tag vapi-moss-v${VERSION} already exists" + else + git config user.name "github-actions" + git config user.email "github-actions@users.noreply.github.com" + git tag "vapi-moss-v${VERSION}" + git push origin "vapi-moss-v${VERSION}" + fi diff --git a/.gitignore b/.gitignore index 1350413a..b2f5fea0 100644 --- a/.gitignore +++ b/.gitignore @@ -4,8 +4,8 @@ __pycache__ node_modules/ .env -.env.* !.env.template +!.env.example .env.local dist/ .next/ diff --git a/README.md b/README.md index e6d9ebdc..6050a528 100644 --- a/README.md +++ b/README.md @@ -9,10 +9,10 @@ ### Real-time semantic search for AI agents. Sub-10 ms. [![License](https://img.shields.io/badge/License-BSD_2--Clause-orange.svg)](https://opensource.org/licenses/BSD-2-Clause) -[![PyPI](https://img.shields.io/pypi/v/moss?color=blue)](https://pypi.org/project/moss/) -[![PyPI downloads](https://static.pepy.tech/personalized-badge/inferedge-moss-core?period=total&units=international_system&left_color=grey&right_color=brightgreen&left_text=pypi+downloads)](https://pepy.tech/project/inferedge-moss-core) -[![npm](https://img.shields.io/npm/v/@moss-dev/moss?color=blue)](https://www.npmjs.com/package/@moss-dev/moss) -[![npm downloads](https://img.shields.io/npm/dt/@inferedge/moss?label=npm+downloads)](https://www.npmjs.com/package/@inferedge/moss) +[![PyPI](https://img.shields.io/pypi/v/moss?color=deepgreen)](https://pypi.org/project/moss/) +[![PyPI downloads](https://static.pepy.tech/personalized-badge/inferedge-moss-core?period=total&units=international_system&left_color=grey&right_color=blue&left_text=pypi+downloads)](https://pepy.tech/project/inferedge-moss-core) +[![npm](https://img.shields.io/npm/v/@moss-dev/moss?color=deepgreen)](https://www.npmjs.com/package/@moss-dev/moss) +[![npm downloads](https://img.shields.io/npm/dt/@inferedge/moss?label=npm+downloads&color=blue)](https://www.npmjs.com/package/@inferedge/moss) [![Discord](https://img.shields.io/discord/1433962929526542346?logo=discord&logoColor=white&label=Discord&color=7B2FBE)](https://moss.link/discord) [Website](https://moss.dev) · [Docs](https://docs.moss.dev) · [Discord](https://moss.link/discord) · [Blog](https://moss.dev/blog) @@ -138,6 +138,7 @@ examples/ apps/ ├── next-js/ # Next.js semantic search UI ├── pipecat-moss/ # Pipecat voice agent with Moss retrieval +├── agora-moss/ # Agora Conversational AI MCP server with Moss retrieval ├── livekit-moss-vercel/ # LiveKit voice agent on Vercel └── docker/ # Dockerized examples (ECS/K8s pattern) ``` @@ -239,10 +240,11 @@ const results = await client.query(name, "your query", { topK: 5 }); | [LangChain](https://github.com/langchain-ai/langchain) | Available | [`examples/cookbook/langchain/`](examples/cookbook/langchain/) | | [DSPy](https://github.com/stanfordnlp/dspy) | Available | [`examples/cookbook/dspy/`](examples/cookbook/dspy/) | | [Pipecat](https://github.com/pipecat-ai/pipecat) | Available | [`apps/pipecat-moss/`](apps/pipecat-moss/) | +| [Agora](https://www.agora.io/) | Available | [`apps/agora-moss/`](apps/agora-moss/) | | [LiveKit](https://github.com/livekit/livekit) | Available | [`apps/livekit-moss-vercel/`](apps/livekit-moss-vercel/) | | [Next.js](https://nextjs.org) | Available | [`apps/next-js/`](apps/next-js/) | | [VitePress](https://vitepress.dev) | Available | [`packages/vitepress-plugin-moss/`](packages/vitepress-plugin-moss/) | -| [Vercel AI SDK](https://sdk.vercel.ai) | Coming soon | — | +| [Vercel AI SDK](https://sdk.vercel.ai) | Available | [`packages/vercel-sdk/`](packages/vercel-sdk/) | | [CrewAI](https://github.com/crewAIInc/crewAI) | Coming soon | — | ## Architecture @@ -280,7 +282,7 @@ Full Python SDK source code is available at [`sdks/python/`](sdks/python/). We welcome contributions! Here's where the community can have the most impact: - **New SDK bindings** — Swift, Go, Elixir,... -- **Framework integrations** — Vercel AI SDK, CrewAI, Haystack, AutoGen +- **Framework integrations** — CrewAI, Haystack, AutoGen - **Reranking support** — plug in cross-encoder rerankers - **Doc-parsing connectors** — PDF, DOCX, HTML, Markdown ingestion - **Examples and tutorials** — if you build something with Moss, we'd love to feature it @@ -289,6 +291,10 @@ See our [Contributing Guide](CONTRIBUTING.md) for setup instructions and our [Ro Check out issues labeled [`good first issue`](https://github.com/usemoss/moss/labels/good%20first%20issue) to get started. +## Contributors + +[![Contributors](https://contrib.rocks/image?repo=usemoss/moss)](https://github.com/usemoss/moss/graphs/contributors) + ## Community - [Discord](https://moss.link/discord) — ask questions, share what you're building @@ -303,4 +309,4 @@ Check out issues labeled [`good first issue`](https://github.com/usemoss/moss/la
Built by the team at Moss · Backed by Y Combinator -
\ No newline at end of file + diff --git a/apps/agora-moss/Dockerfile b/apps/agora-moss/Dockerfile new file mode 100644 index 00000000..5d42a054 --- /dev/null +++ b/apps/agora-moss/Dockerfile @@ -0,0 +1,38 @@ +# Container image for the agora-moss MCP server. +# Target: ghcr.io/usemoss/agora-moss +# +# Build: docker build -t agora-moss -f apps/agora-moss/Dockerfile . +# Run: docker run --rm -p 8080:8080 --env-file apps/agora-moss/.env agora-moss + +FROM python:3.13-slim-trixie AS base + +ENV PYTHONUNBUFFERED=1 \ + PYTHONDONTWRITEBYTECODE=1 \ + UV_COMPILE_BYTECODE=1 + +# Install uv from its upstream image. +COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv + +RUN useradd --create-home --shell /bin/bash appuser + +WORKDIR /app + +# Copy the package + app sources. Monorepo context; build from repo root. +COPY packages/agora-moss/pyproject.toml packages/agora-moss/ +COPY packages/agora-moss/README.md packages/agora-moss/ +COPY packages/agora-moss/src packages/agora-moss/src + +COPY apps/agora-moss/pyproject.toml apps/agora-moss/ +COPY apps/agora-moss/README.md apps/agora-moss/ +COPY apps/agora-moss/server.py apps/agora-moss/ +COPY apps/agora-moss/llm_proxy.py apps/agora-moss/ +COPY apps/agora-moss/start_agent.py apps/agora-moss/ +COPY apps/agora-moss/create_index.py apps/agora-moss/ +COPY apps/agora-moss/moss_docs.json apps/agora-moss/ + +WORKDIR /app/apps/agora-moss +RUN uv sync --no-dev + +USER appuser +EXPOSE 8080 +CMD ["uv", "run", "uvicorn", "server:app", "--host", "0.0.0.0", "--port", "8080"] diff --git a/apps/agora-moss/README.md b/apps/agora-moss/README.md new file mode 100644 index 00000000..bd16861a --- /dev/null +++ b/apps/agora-moss/README.md @@ -0,0 +1,97 @@ +# agora-moss demo + +A runnable end-to-end example of Moss semantic search inside an Agora Conversational AI voice agent, via the `agora-moss` MCP server. + +## What this shows + +- A minimal FastMCP streamable-HTTP server (`server.py`) exposing `search_knowledge_base`. +- A helper (`start_agent.py`) that mints an RTC token and starts an Agora ConvoAI agent wired to that MCP server, using Deepgram ASR and Cartesia TTS. +- A seeding script (`create_index.py`) that uploads sample docs to a Moss index. + +## Prerequisites + +- Python 3.10+ and [uv](https://docs.astral.sh/uv/). +- Moss project credentials: `MOSS_PROJECT_ID`, `MOSS_PROJECT_KEY` — sign up and grab them at [moss.dev](https://moss.dev). +- An Agora account with Conversational AI enabled: `AGORA_APP_ID`, `AGORA_APP_CERTIFICATE`, `AGORA_CUSTOMER_ID`, `AGORA_CUSTOMER_SECRET`. +- Deepgram + Cartesia API keys (or swap to any other vendors Agora ConvoAI supports). +- An LLM endpoint that speaks OpenAI-compatible `/chat/completions` streaming (e.g. OpenAI, Groq, Together, vLLM). +- `ngrok` (or any other public-URL tunnel) for local dev so Agora can reach your MCP server. + +## Setup + +```bash +cd apps/agora-moss +cp env.example .env +# edit .env and fill in credentials +uv sync --dev +``` + +## Seed the demo index + +```bash +uv run python create_index.py +``` + +This uploads `moss_docs.json` to `$MOSS_INDEX_NAME`. + +## Run the MCP server + +```bash +uv run uvicorn server:app --host 0.0.0.0 --port 8080 +``` + +The MCP endpoint is served at `http://127.0.0.1:8080/mcp`. Expose it publicly with: + +```bash +ngrok http 8080 +# → https://.ngrok.io/mcp +``` + +Put the public URL in your `.env` as `AGORA_MCP_PUBLIC_URL`. + +## Start the Agora agent + +In another terminal: + +```bash +uv run python start_agent.py +``` + +This prints the started agent's ID on success. Use Agora's web demo (or your own RTC client) to join `$AGORA_CHANNEL` — when you speak, the ConvoAI LLM can now call `search_knowledge_base` against your Moss index. + +## Docker + +```bash +# from repo root +docker build -t agora-moss:local -f apps/agora-moss/Dockerfile . +docker run --rm -p 8080:8080 --env-file apps/agora-moss/.env agora-moss:local +``` + +The published image is `ghcr.io/usemoss/agora-moss`. + +## Integrating into your own ConvoAI setup + +If you already have an Agora ConvoAI agent, you only need to append two things to your existing `join` body — no changes to vendor, LLM URL, or any other config: + +```json +{ + "properties": { + "llm": { + "mcp_servers": [{ + "name": "moss", + "endpoint": "https:///mcp", + "transport": "streamable_http", + "allowed_tools": ["search_knowledge_base"], + "headers": { "Authorization": "Bearer " } + }] + }, + "advanced_features": { "enable_tools": true } + } +} +``` + +Agora rule to watch: the MCP server entry's `name` must be ≤48 chars, alphanumeric only — no hyphens or underscores. + +## License + +BSD-2-Clause. See repository root. diff --git a/apps/agora-moss/create_index.py b/apps/agora-moss/create_index.py new file mode 100644 index 00000000..ec3593e8 --- /dev/null +++ b/apps/agora-moss/create_index.py @@ -0,0 +1,67 @@ +"""Seed the Moss index used by the agora-moss demo. + +Usage: + + uv run python create_index.py + +Reads ``moss_docs.json`` and uploads to the index named ``$MOSS_INDEX_NAME``. +Creates the index with documents in a single call; no-ops if the index already +exists (idempotent). +""" + +from __future__ import annotations + +import asyncio +import json +import os +import sys +from pathlib import Path + +from dotenv import load_dotenv +from loguru import logger +from moss import DocumentInfo, MossClient + +REQUIRED_ENV = ("MOSS_PROJECT_ID", "MOSS_PROJECT_KEY", "MOSS_INDEX_NAME") + + +async def main() -> None: + """Seed the configured Moss index from ``moss_docs.json`` (idempotent).""" + load_dotenv() + missing = [k for k in REQUIRED_ENV if not os.environ.get(k)] + if missing: + logger.error("Missing required env vars: {}", ", ".join(missing)) + sys.exit(1) + + index_name = os.environ["MOSS_INDEX_NAME"] + docs_path = Path(__file__).parent / "moss_docs.json" + raw_docs = json.loads(docs_path.read_text()) + + client = MossClient( + project_id=os.environ["MOSS_PROJECT_ID"], + project_key=os.environ["MOSS_PROJECT_KEY"], + ) + + documents = [ + DocumentInfo(id=d["id"], text=d["text"], metadata=d.get("metadata", {})) for d in raw_docs + ] + + logger.info("Creating index {!r} with {} documents", index_name, len(documents)) + try: + await client.create_index( + name=index_name, + docs=documents, + model_id="moss-minilm", + ) + logger.info("Created index {!r}", index_name) + except Exception as e: + # Moss has no named "duplicate index" error class, so match on message. + # Any other failure (bad creds, network, validation) should surface. + if "already exists" not in str(e).lower(): + raise + logger.info("Index {!r} already exists; skipping creation", index_name) + + logger.info("Done. Wait a few seconds for the index to finish processing.") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/apps/agora-moss/env.example b/apps/agora-moss/env.example new file mode 100644 index 00000000..8d15947c --- /dev/null +++ b/apps/agora-moss/env.example @@ -0,0 +1,29 @@ +# --- Moss credentials (required) --- +MOSS_PROJECT_ID= +MOSS_PROJECT_KEY= +MOSS_INDEX_NAME= + +# --- Agora credentials --- +# App ID + Certificate are used to mint RTC tokens (for the agent participant). +AGORA_APP_ID= +AGORA_APP_CERTIFICATE= +# Customer ID + Secret authenticate the ConvoAI REST calls. +AGORA_CUSTOMER_ID= +AGORA_CUSTOMER_SECRET= + +# --- server.py (MCP server) --- +PORT=8080 + +# --- start_agent.py (ConvoAI orchestration demo) --- +AGORA_CHANNEL=moss-demo +# Public URL that Agora's infra can reach. Use ngrok during local dev. +AGORA_MCP_PUBLIC_URL=https://your-ngrok.ngrok.io/mcp +# Optional static header Agora will send to the MCP server (bearer / api-key). +AGORA_MCP_AUTH_HEADER= +# Consumer's own LLM endpoint (OpenAI-compat) and key. +LLM_URL=https://api.openai.com/v1/chat/completions +LLM_API_KEY= +# STT/TTS vendor keys. +DEEPGRAM_API_KEY= +CARTESIA_API_KEY= +CARTESIA_VOICE_ID= diff --git a/apps/agora-moss/llm_proxy.py b/apps/agora-moss/llm_proxy.py new file mode 100644 index 00000000..4ab0724d --- /dev/null +++ b/apps/agora-moss/llm_proxy.py @@ -0,0 +1,142 @@ +"""Local dev proxy: logs Agora's LLM requests, cleans payload, forwards upstream. + +Mounted at ``/llm/chat/completions`` by ``server.py`` when ``LLM_PROXY_UPSTREAM`` +is set. Useful when the chosen LLM provider is strict about OpenAI schema +(e.g. Gemini's OpenAI-compat endpoint rejects the extra ``turn_id`` / +``timestamp`` / ``interruptable`` fields Agora's ConvoAI adds to each request). +""" +from __future__ import annotations + +import gzip +import json +import os +import zlib +from collections.abc import AsyncIterator + +import httpx +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse, Response, StreamingResponse + +ALLOWED_MSG_KEYS = {"role", "content", "name", "tool_calls", "tool_call_id", "function_call"} +ALLOWED_TOP_KEYS = { + "model", "messages", "tools", "tool_choice", "temperature", "top_p", "top_k", + "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", + "logit_bias", "user", "response_format", "seed", +} +ALLOWED_TOOL_KEYS = {"type", "function"} +ALLOWED_TOOL_FN_KEYS = {"name", "description", "parameters"} + + +def _decode(body: bytes, encoding: str) -> str: + try: + if encoding == "gzip": + body = gzip.decompress(body) + elif encoding == "deflate": + body = zlib.decompress(body) + except Exception: + pass + return body.decode("utf-8", errors="replace") + + +def _clean_payload(parsed: dict, model: str | None) -> dict: + """Drop non-OpenAI-spec fields Agora adds; inject model if provided.""" + out = {k: v for k, v in parsed.items() if k in ALLOWED_TOP_KEYS} + if model and "model" not in out: + out["model"] = model + msgs: list = [] + for m in out.get("messages", []): + if not isinstance(m, dict): + msgs.append(m) + continue + msgs.append({k: v for k, v in m.items() if k in ALLOWED_MSG_KEYS}) + out["messages"] = msgs + if "tools" in out: + cleaned_tools: list = [] + for t in out["tools"]: + if not isinstance(t, dict): + cleaned_tools.append(t) + continue + tt = {k: v for k, v in t.items() if k in ALLOWED_TOOL_KEYS} + if isinstance(tt.get("function"), dict): + tt["function"] = { + k: v for k, v in tt["function"].items() if k in ALLOWED_TOOL_FN_KEYS + } + cleaned_tools.append(tt) + out["tools"] = cleaned_tools + return out + + +# Module-level client reused across requests so a per-request transport isn't +# spun up each time, and so no client is leaked if a streaming response is +# abandoned mid-flight. A mounted sub-app's lifespan is not executed by the +# parent Starlette app, which is why this lives here rather than in lifespan. +_client = httpx.AsyncClient(timeout=60) + +app = FastAPI() + + +@app.post("/chat/completions") +async def chat_completions(request: Request) -> Response: + upstream = os.environ.get("LLM_PROXY_UPSTREAM") + if not upstream: + return JSONResponse( + {"error": "LLM_PROXY_UPSTREAM is not set; proxy is disabled"}, + status_code=503, + ) + upstream_key = os.environ.get("LLM_API_KEY", "") + model = os.environ.get("LLM_MODEL") + + body = await request.body() + parsed: dict | None = None + try: + parsed = json.loads(body) + print(f"===== AGORA -> LLM PROXY =====\n{json.dumps(parsed, indent=2)[:2000]}", flush=True) + except Exception: + print(f"===== AGORA -> LLM PROXY (non-json) =====\n{body[:500]!r}", flush=True) + + forward_headers = { + "Authorization": f"Bearer {upstream_key}", + "Content-Type": "application/json", + } + if isinstance(parsed, dict): + cleaned = _clean_payload(parsed, model) + forward_body = json.dumps(cleaned).encode() + stream = bool(cleaned.get("stream")) + else: + forward_body = body + stream = False + + if stream: + # Peek at the upstream status before committing to a streaming response: + # if upstream errored, return a non-streaming JSON error with the real + # status code so callers don't see a 200 text/event-stream wrapping a 4xx. + req = _client.build_request("POST", upstream, headers=forward_headers, content=forward_body) + r = await _client.send(req, stream=True) + if r.status_code >= 400: + err = await r.aread() + await r.aclose() + encoding = r.headers.get("content-encoding", "") + decoded = _decode(err, encoding) + print(f"UPSTREAM status: {r.status_code}\n{decoded[:2000]}", flush=True) + return Response( + content=decoded, + status_code=r.status_code, + media_type=r.headers.get("content-type", "application/json"), + ) + + async def gen() -> AsyncIterator[bytes]: + try: + async for chunk in r.aiter_bytes(): + yield chunk + finally: + await r.aclose() + + return StreamingResponse(gen(), status_code=r.status_code, media_type="text/event-stream") + + r = await _client.post(upstream, headers=forward_headers, content=forward_body) + print(f"UPSTREAM status: {r.status_code}\n{r.text[:500]}", flush=True) + return Response( + content=r.content, + status_code=r.status_code, + media_type=r.headers.get("content-type", "application/json"), + ) diff --git a/apps/agora-moss/moss_docs.json b/apps/agora-moss/moss_docs.json new file mode 100644 index 00000000..90bde7d6 --- /dev/null +++ b/apps/agora-moss/moss_docs.json @@ -0,0 +1,17 @@ +[ + { + "id": "moss-overview", + "text": "Moss is a real-time semantic search runtime built for conversational AI. It returns results in under 10 milliseconds so voice agents can ground responses without blowing their latency budget.", + "metadata": { "section": "overview" } + }, + { + "id": "agora-integration", + "text": "Moss integrates with Agora Conversational AI by exposing a single MCP tool, search_knowledge_base, over streamable HTTP. Agora's orchestrator calls this tool during a conversation whenever the LLM decides to search.", + "metadata": { "section": "integrations" } + }, + { + "id": "hybrid-search", + "text": "Moss supports hybrid search: a tunable alpha parameter controls the blend between dense vector similarity and sparse keyword matching. Higher alpha means more weight on dense embeddings.", + "metadata": { "section": "features" } + } +] diff --git a/apps/agora-moss/pyproject.toml b/apps/agora-moss/pyproject.toml new file mode 100644 index 00000000..591d1954 --- /dev/null +++ b/apps/agora-moss/pyproject.toml @@ -0,0 +1,39 @@ +[project] +name = "agora-moss-demo" +version = "0.0.1" +description = "Demo: Moss-powered Agora Conversational AI voice agent via MCP" +readme = "README.md" +license = { text = "BSD-2-Clause" } +requires-python = ">=3.10,<3.15" +dependencies = [ + "agora-moss", + "agora-token-builder>=1.0.0", + "httpx>=0.27.0", + "uvicorn[standard]>=0.30.0", + "python-dotenv>=1.0.0", + "loguru>=0.7.0", + "fastapi>=0.136.0", +] + +[dependency-groups] +dev = [ + "ruff>=0.1.0", + "pytest>=8.0", +] + +[tool.uv.sources] +agora-moss = { path = "../../packages/agora-moss" } + +[tool.ruff] +line-length = 100 +target-version = "py310" + +[tool.ruff.lint] +select = ["E", "W", "F", "I", "B", "UP", "D"] +ignore = ["D100", "D104"] + +[tool.ruff.lint.per-file-ignores] +"tests/**/*.py" = ["D101", "D102", "D103", "D107"] + +[tool.ruff.lint.pydocstyle] +convention = "google" diff --git a/apps/agora-moss/server.py b/apps/agora-moss/server.py new file mode 100644 index 00000000..d7c21cb1 --- /dev/null +++ b/apps/agora-moss/server.py @@ -0,0 +1,58 @@ +"""ASGI entrypoint for the agora-moss MCP server. + +Runs a single-tool FastMCP streamable-HTTP server. Point your Agora ConvoAI +``join`` body at this server's ``/mcp`` endpoint. + +Usage (local dev): + + uv run uvicorn server:app --host 0.0.0.0 --port $PORT + +The Moss index is preloaded during FastMCP's lifespan — the server will not +accept tool calls until the preload completes. +""" + +from __future__ import annotations + +import os +import sys + +from agora_moss import MossAgoraSearch, create_mcp_app +from dotenv import load_dotenv +from loguru import logger +from mcp.server.transport_security import TransportSecuritySettings + +REQUIRED_ENV = ("MOSS_PROJECT_ID", "MOSS_PROJECT_KEY", "MOSS_INDEX_NAME") + + +def _require_env() -> dict[str, str]: + load_dotenv() + missing = [name for name in REQUIRED_ENV if not os.environ.get(name)] + if missing: + logger.error("Missing required env vars: {}", ", ".join(missing)) + sys.exit(1) + return {name: os.environ[name] for name in REQUIRED_ENV} + + +env = _require_env() +search = MossAgoraSearch( + project_id=env["MOSS_PROJECT_ID"], + project_key=env["MOSS_PROJECT_KEY"], + index_name=env["MOSS_INDEX_NAME"], +) +mcp = create_mcp_app(search) +# When MCP_ALLOW_ALL_HOSTS=1, disable DNS-rebinding protection so tunnel hosts +# (ngrok, cloudflared) can reach /mcp. Safe only for dev tunnels. +if os.environ.get("MCP_ALLOW_ALL_HOSTS") == "1": + mcp.settings.transport_security = TransportSecuritySettings( + enable_dns_rebinding_protection=False + ) +app = mcp.streamable_http_app() # ASGI application for uvicorn + +# Optional dev-only LLM proxy: only mounted when LLM_PROXY_UPSTREAM is set. +# Useful when the chosen LLM provider is strict about OpenAI schema (e.g. +# Gemini's OpenAI-compat endpoint). See ``llm_proxy.py``. +if os.environ.get("LLM_PROXY_UPSTREAM"): + from llm_proxy import app as proxy_app # noqa: E402 + from starlette.routing import Mount # noqa: E402 + + app.router.routes.insert(0, Mount("/llm", app=proxy_app)) diff --git a/apps/agora-moss/start_agent.py b/apps/agora-moss/start_agent.py new file mode 100644 index 00000000..619a438c --- /dev/null +++ b/apps/agora-moss/start_agent.py @@ -0,0 +1,170 @@ +"""Demo: mint an RTC token and start an Agora ConvoAI agent wired to our MCP server. + +Usage: + + uv run python start_agent.py + +Reads env vars listed in env.example. Prints the started agent's ID on success, +or the Agora REST response body on failure. +""" + +from __future__ import annotations + +import json +import os +import sys +import time +import uuid +from typing import Any + +import httpx +from agora_token_builder import RtcTokenBuilder +from dotenv import load_dotenv +from loguru import logger + +MCP_SERVER_NAME = "moss" # Agora rule: <= 48 chars, alphanumeric only. +AGORA_CONVOAI_BASE = "https://api.agora.io/api/conversational-ai-agent/v2/projects" +RTC_TOKEN_TTL_SECONDS = 3600 # 1 hour; ConvoAI REST max is 86400. + + +def mint_token(app_id: str, app_certificate: str, channel: str, uid: int) -> str: + """Mint an Agora RTC token for the agent participant.""" + expire_ts = int(time.time()) + RTC_TOKEN_TTL_SECONDS + # Role 1 = publisher; the ConvoAI agent publishes audio. + return RtcTokenBuilder.buildTokenWithUid(app_id, app_certificate, channel, uid, 1, expire_ts) + + +def build_join_body( + *, + channel: str, + agent_rtc_uid: int, + agent_rtc_token: str, + llm_url: str, + llm_api_key: str, + llm_model: str | None = None, + mcp_public_url: str, + mcp_auth_header: str | None, + deepgram_key: str, + cartesia_key: str, + cartesia_voice_id: str, +) -> dict[str, Any]: + """Construct the ConvoAI ``join`` request body with MCP + Deepgram + Cartesia.""" + mcp_entry: dict[str, Any] = { + "name": MCP_SERVER_NAME, + "endpoint": mcp_public_url, + "transport": "streamable_http", + "allowed_tools": ["search_knowledge_base"], + } + # Agora rule: server-entry name is <=48 chars, alphanumeric only. + if not (mcp_entry["name"].isalnum() and 1 <= len(mcp_entry["name"]) <= 48): + raise ValueError(f"MCP server name {mcp_entry['name']!r} must be 1-48 alphanumeric chars") + if mcp_auth_header: + mcp_entry["headers"] = {"Authorization": mcp_auth_header} + + llm_block: dict[str, Any] = { + "vendor": "custom", + "url": llm_url, + "api_key": llm_api_key, + "mcp_servers": [mcp_entry], + "greeting_message": "Hi, I'm your Moss-powered support assistant. Ask me anything about the product.", + "system_messages": [ + { + "role": "system", + "content": ( + "You are a concise voice support assistant. Use the " + "search_knowledge_base tool to answer product questions, " + "then reply in one or two short sentences." + ), + } + ], + } + if llm_model: + llm_block["model"] = llm_model + + return { + "name": f"moss-agora-{uuid.uuid4().hex[:8]}", + "properties": { + "channel": channel, + "token": agent_rtc_token, + "agent_rtc_uid": str(agent_rtc_uid), + "remote_rtc_uids": os.environ.get("AGORA_REMOTE_RTC_UIDS", "2001").split(","), + "llm": llm_block, + "advanced_features": {"enable_tools": True}, + "asr": { + "vendor": "deepgram", + "params": {"key": deepgram_key, "model": "nova-3"}, + }, + "tts": { + "vendor": "cartesia", + "params": { + "api_key": cartesia_key, + "model_id": "sonic-2", + "voice": {"mode": "id", "id": cartesia_voice_id}, + "output_format": {"container": "raw", "sample_rate": 16000}, + "language": "en", + }, + }, + "turn_detection": {"mode": "default"}, + }, + } + + +def _require_env(keys: tuple[str, ...]) -> dict[str, str]: + missing = [k for k in keys if not os.environ.get(k)] + if missing: + logger.error("Missing required env vars: {}", ", ".join(missing)) + sys.exit(1) + return {k: os.environ[k] for k in keys} + + +def main() -> None: + """Mint tokens and POST an Agora ConvoAI ``join`` body wiring in the MCP server.""" + load_dotenv() + env = _require_env( + ( + "AGORA_APP_ID", + "AGORA_APP_CERTIFICATE", + "AGORA_CUSTOMER_ID", + "AGORA_CUSTOMER_SECRET", + "AGORA_CHANNEL", + "AGORA_MCP_PUBLIC_URL", + "LLM_URL", + "LLM_API_KEY", + "DEEPGRAM_API_KEY", + "CARTESIA_API_KEY", + "CARTESIA_VOICE_ID", + ) + ) + agent_rtc_uid = int(os.environ.get("AGORA_AGENT_RTC_UID", "1001")) + rtc_token = mint_token( + env["AGORA_APP_ID"], + env["AGORA_APP_CERTIFICATE"], + env["AGORA_CHANNEL"], + agent_rtc_uid, + ) + body = build_join_body( + channel=env["AGORA_CHANNEL"], + agent_rtc_uid=agent_rtc_uid, + agent_rtc_token=rtc_token, + llm_url=env["LLM_URL"], + llm_api_key=env["LLM_API_KEY"], + llm_model=os.environ.get("LLM_MODEL") or None, + mcp_public_url=env["AGORA_MCP_PUBLIC_URL"], + mcp_auth_header=os.environ.get("AGORA_MCP_AUTH_HEADER") or None, + deepgram_key=env["DEEPGRAM_API_KEY"], + cartesia_key=env["CARTESIA_API_KEY"], + cartesia_voice_id=env["CARTESIA_VOICE_ID"], + ) + url = f"{AGORA_CONVOAI_BASE}/{env['AGORA_APP_ID']}/join" + auth = (env["AGORA_CUSTOMER_ID"], env["AGORA_CUSTOMER_SECRET"]) + with httpx.Client(timeout=30) as client: + resp = client.post(url, auth=auth, json=body) + if resp.status_code >= 300: + logger.error("Agora REST {} {}", resp.status_code, resp.text) + sys.exit(1) + data = resp.json() + logger.info("Agent started: {}", json.dumps(data, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/apps/agora-moss/test_mcp_client.py b/apps/agora-moss/test_mcp_client.py new file mode 100644 index 00000000..a5c26e45 --- /dev/null +++ b/apps/agora-moss/test_mcp_client.py @@ -0,0 +1,23 @@ +import asyncio +import sys +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client + + +async def main(query: str) -> None: + async with streamablehttp_client("http://127.0.0.1:8080/mcp") as (read, write, _): + async with ClientSession(read, write) as session: + await session.initialize() + tools = await session.list_tools() + print("TOOLS:", [t.name for t in tools.tools]) + result = await session.call_tool( + "search_knowledge_base", {"query": query} + ) + print("---RESULT---") + for c in result.content: + print(getattr(c, "text", c)) + + +if __name__ == "__main__": + q = sys.argv[1] if len(sys.argv) > 1 else "how do I reset my password" + asyncio.run(main(q)) diff --git a/apps/agora-moss/tests/__init__.py b/apps/agora-moss/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/apps/agora-moss/tests/test_start_agent.py b/apps/agora-moss/tests/test_start_agent.py new file mode 100644 index 00000000..ab5c091b --- /dev/null +++ b/apps/agora-moss/tests/test_start_agent.py @@ -0,0 +1,127 @@ +"""Tests for start_agent.py.""" + +import sys +from pathlib import Path + +import pytest + +# Make the top-level demo modules importable when pytest runs from the package dir. +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + + +class TestBuildJoinBody: + def test_includes_mcp_servers_with_allowed_tools(self): + from start_agent import build_join_body + + body = build_join_body( + channel="ch1", + agent_rtc_uid=123, + agent_rtc_token="token-xyz", + llm_url="https://llm.example/chat", + llm_api_key="llmkey", + mcp_public_url="https://mcp.example/mcp", + mcp_auth_header="Bearer abc", + deepgram_key="dg", + cartesia_key="ct", + cartesia_voice_id="voice-1", + ) + llm = body["properties"]["llm"] + assert llm["vendor"] == "custom" + assert llm["url"] == "https://llm.example/chat" + assert llm["api_key"] == "llmkey" + + assert len(llm["mcp_servers"]) == 1 + mcp = llm["mcp_servers"][0] + assert mcp["name"] == "moss" + assert mcp["endpoint"] == "https://mcp.example/mcp" + assert mcp["transport"] == "streamable_http" + assert mcp["allowed_tools"] == ["search_knowledge_base"] + assert mcp["headers"] == {"Authorization": "Bearer abc"} + + def test_enable_tools_is_true(self): + from start_agent import build_join_body + + body = build_join_body( + channel="c", + agent_rtc_uid=1, + agent_rtc_token="t", + llm_url="x", + llm_api_key="y", + mcp_public_url="z", + mcp_auth_header=None, + deepgram_key="dg", + cartesia_key="ct", + cartesia_voice_id="v", + ) + assert body["properties"]["advanced_features"]["enable_tools"] is True + + def test_includes_asr_tts_and_turn_detection(self): + from start_agent import build_join_body + + body = build_join_body( + channel="c", + agent_rtc_uid=1, + agent_rtc_token="t", + llm_url="x", + llm_api_key="y", + mcp_public_url="z", + mcp_auth_header=None, + deepgram_key="dgk", + cartesia_key="ctk", + cartesia_voice_id="vid", + ) + props = body["properties"] + assert props["asr"]["vendor"] == "deepgram" + assert props["asr"]["params"]["key"] == "dgk" + assert props["asr"]["params"]["model"] == "nova-3" + + assert props["tts"]["vendor"] == "cartesia" + assert props["tts"]["params"]["api_key"] == "ctk" + assert props["tts"]["params"]["voice"] == {"mode": "id", "id": "vid"} + + assert props["turn_detection"] == {"mode": "default"} + + def test_omits_headers_when_no_auth_header_supplied(self): + from start_agent import build_join_body + + body = build_join_body( + channel="c", + agent_rtc_uid=1, + agent_rtc_token="t", + llm_url="x", + llm_api_key="y", + mcp_public_url="z", + mcp_auth_header=None, + deepgram_key="dg", + cartesia_key="ct", + cartesia_voice_id="v", + ) + mcp = body["properties"]["llm"]["mcp_servers"][0] + assert "headers" not in mcp + + +class TestMcpServerName: + def test_mcp_server_name_is_alphanumeric_and_short(self): + # Agora rule: name <= 48 chars, alphanumeric only. + from start_agent import MCP_SERVER_NAME + + assert MCP_SERVER_NAME.isalnum() + assert 1 <= len(MCP_SERVER_NAME) <= 48 + + def test_build_join_body_rejects_bad_name(self, monkeypatch): + import start_agent + + monkeypatch.setattr(start_agent, "MCP_SERVER_NAME", "has-hyphen") + with pytest.raises(ValueError, match="alphanumeric"): + start_agent.build_join_body( + channel="c", + agent_rtc_uid=1, + agent_rtc_token="t", + llm_url="x", + llm_api_key="y", + mcp_public_url="z", + mcp_auth_header=None, + deepgram_key="dg", + cartesia_key="ct", + cartesia_voice_id="v", + ) diff --git a/apps/agora-moss/uv.lock b/apps/agora-moss/uv.lock new file mode 100644 index 00000000..977cd477 --- /dev/null +++ b/apps/agora-moss/uv.lock @@ -0,0 +1,1355 @@ +version = 1 +revision = 3 +requires-python = ">=3.10, <3.15" + +[[package]] +name = "agora-moss" +version = "0.0.1" +source = { directory = "../../packages/agora-moss" } +dependencies = [ + { name = "mcp" }, + { name = "moss" }, +] + +[package.metadata] +requires-dist = [ + { name = "mcp", specifier = ">=1.2" }, + { name = "moss", specifier = ">=1.0.0" }, +] + 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b/apps/moss-bun/Dockerfile @@ -0,0 +1,31 @@ +# Dockerfile for Moss Bun App +# Using Node.js base with Bun to ensure native bindings work +FROM node:20 + +WORKDIR /app + +# Install Bun and dumb-init +RUN npm install -g bun && apt-get update && apt-get install -y dumb-init && rm -rf /var/lib/apt/lists/* + +# Copy package files +COPY package.json bun.lock ./ + +# Install dependencies +RUN bun install --production + +# Copy source code +COPY src ./src + +# Create non-root user for security +RUN groupadd -g 1001 nodejs && useradd -m -u 1001 -g nodejs nodejs +USER nodejs + +# Health check +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD bun -e "fetch('http://localhost:' + (process.env.PORT || 3000) + '/health').then(r => r.ok ? process.exit(0) : process.exit(1))" || exit 1 +# Expose port +EXPOSE 3000 + +# Run with dumb-init to handle signals properly +ENTRYPOINT ["/usr/bin/dumb-init", "--"] +CMD ["bun", "run", "src/index.ts"] diff --git a/apps/moss-bun/README.md b/apps/moss-bun/README.md new file mode 100644 index 00000000..90fca5bb --- /dev/null +++ b/apps/moss-bun/README.md @@ -0,0 +1,348 @@ +# Moss Bun Application + +Production-ready semantic search application built with **Moss** and **Bun**. + +## What's Included + +- **REST API Server** - Full-featured HTTP API for Moss operations +- **CLI Tool** - Command-line interface for searching and managing indexes +- **Test Suite** - Unit tests using Bun's built-in test runner +- **Docker Support** - Production-ready Docker image +- **High Performance** - 2-3x faster than Node.js with native TypeScript + +## Quick Start + +### 1. Install Dependencies + +```bash +cd apps/moss-bun +bun install +``` + +### 2. Configure Credentials + +```bash +cp .env.example .env +# Edit .env with your Moss credentials from https://moss.dev +``` + +### 3. Seed Sample Data + +```bash +bun run seed +``` + +### 4. Start the Server + +```bash +bun run dev # Development with auto-reload +bun start # Production mode +``` + +The server runs on `http://localhost:3000` + +## Usage + +### REST API + +#### Health Check +```bash +curl http://localhost:3000/health +``` + +#### Initialize Index +```bash +curl -X POST http://localhost:3000/api/initialize \ + -H "Content-Type: application/json" \ + -d '{ + "indexName": "moss-demo", + "documents": [ + {"id": "1", "text": "First document"}, + {"id": "2", "text": "Second document"} + ] + }' +``` + +#### Search +```bash +curl -X POST http://localhost:3000/api/search \ + -H "Content-Type: application/json" \ + -d '{ + "query": "what is moss?", + "topK": 5, + "indexName": "moss-demo" + }' +``` + +#### Batch Search +```bash +curl -X POST http://localhost:3000/api/search-batch \ + -H "Content-Type: application/json" \ + -d '{ + "queries": ["moss", "semantic search", "AI"], + "topK": 3, + "indexName": "my-docs" + }' +``` + +### CLI + +#### Search +```bash +# Search with default parameters +bun run cli search "what is moss?" + +# Specify index and top results +bun run cli search "query" my-index 10 +``` + +#### Initialize Index +```bash +bun run cli init my-index 10 +``` + +#### Interactive Search +```bash +bun run cli interactive my-index +``` + +#### List Indexes +```bash +bun run cli list +``` + +#### Get Index Info +```bash +bun run cli info my-index +``` + +#### Delete Index +```bash +bun run cli delete my-index +``` + +## API Endpoints + +### Health & Status +- `GET /health` - Server health check +- `GET /status` - Detailed server status + +### Index Management +- `POST /api/initialize` - Create and load index +- `POST /api/load/:indexName` - Load existing index +- `GET /api/indexes` - List loaded indexes +- `GET /api/index/:indexName` - Get index metadata +- `DELETE /api/index/:indexName` - Delete index + +### Search +- `POST /api/search` - Single semantic search +- `POST /api/search-batch` - Multiple queries at once + +### Documents +- `POST /api/docs/add` - Add/update documents +- `DELETE /api/docs/delete` - Delete documents +- `GET /api/docs/:indexName/:docId` - Get document by ID + +## Project Structure + +``` +moss-bun/ +├── src/ +│ ├── index.ts # Main server +│ ├── cli.ts # Command-line tool +│ ├── seed.ts # Sample data seeder +│ └── moss.test.ts # Tests +├── package.json # Dependencies +├── bunfig.toml # Bun configuration +├── Dockerfile # Docker image +├── .env.example # Environment template +└── README.md # This file +``` + +## Configuration + +Edit `.env` to customize: + +```env +# Moss credentials (required) +MOSS_PROJECT_ID=your_id +MOSS_PROJECT_KEY=your_key + +# Server port (default: 3000) +PORT=3000 + +# Default index for queries (default: "default") +DEFAULT_INDEX=my-index + +# Environment +NODE_ENV=development +``` + +## Testing + +```bash +# Run tests once +bun test + +# Watch mode +bun run test:watch +``` + +Tests check: +- Index creation and loading +- Semantic search functionality +- Document operations +- Performance benchmarks +- Bun runtime features + +## Docker Deployment + +### Build Image +```bash +docker build -t moss-bun-app . +``` + +### Run Container +```bash +docker run -p 3000:3000 \ + -e MOSS_PROJECT_ID=your_id \ + -e MOSS_PROJECT_KEY=your_key \ + moss-bun-app +``` + +### With Docker Compose +```yaml +version: '3.8' +services: + moss-bun: + build: . + ports: + - "3000:3000" + environment: + MOSS_PROJECT_ID: ${MOSS_PROJECT_ID} + MOSS_PROJECT_KEY: ${MOSS_PROJECT_KEY} + DEFAULT_INDEX: my-index + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:3000/health"] + interval: 30s + timeout: 3s + retries: 3 +``` + +## Performance + +Bun provides significant advantages for this workload: + +| Metric | Bun | Node.js | +|--------|-----|---------| +| Startup time | ~200ms | ~500-800ms | +| TypeScript overhead | None | ~100-200ms | +| Search queries | Same | Same | +| Package install | 3-4x faster | Baseline | + +## Development + +### Watch Mode +```bash +bun run dev +``` + +Auto-reloads on file changes. + +### Building for Production +```bash +bun build src/index.ts --outdir dist --target bun +``` + +### Debugging +```bash +bun inspect src/index.ts +# Opens WebKit Inspector at chrome://inspect +``` + +## Examples + +### Create Index from File +```bash +bun run cli init my-index 50 +``` + +### Search and Display Results +```bash +bun run cli search "machine learning" my-index 5 +``` + +### Batch Index Creation via API +```javascript +const documents = [ + { id: "1", text: "Document 1" }, + { id: "2", text: "Document 2" }, + // ... more documents +]; + +const response = await fetch("http://localhost:3000/api/initialize", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ indexName: "my-index", documents }) +}); + +const result = await response.json(); +console.log(result); +``` + +### Search from Node.js/Bun +```typescript +const results = await fetch("http://localhost:3000/api/search", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + query: "what is moss?", + topK: 5, + indexName: "my-index" + }) +}); + +const data = await results.json(); +console.log(data); +``` + +## Troubleshooting + +### "MOSS_PROJECT_ID/KEY not set" +```bash +cp .env.example .env +# Edit .env with your actual credentials +``` + +### Port already in use +```bash +# Use a different port +PORT=3001 bun run start +``` + +### Build fails +```bash +# Clear cache and reinstall +rm -rf node_modules bun.lock +bun install +``` + +### Tests fail +Ensure you have valid Moss credentials in `.env` before running tests. 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environment variables +# [env] +# NODE_ENV = "production" +# LOG_LEVEL = "info" diff --git a/apps/moss-bun/docker-compose.yml b/apps/moss-bun/docker-compose.yml new file mode 100644 index 00000000..e53444de --- /dev/null +++ b/apps/moss-bun/docker-compose.yml @@ -0,0 +1,40 @@ +version: '3.8' + +services: + moss-bun: + build: + context: . + dockerfile: Dockerfile + container_name: moss-bun-app + ports: + - "3000:3000" + environment: + # Moss credentials - set these in .env file + MOSS_PROJECT_ID: ${MOSS_PROJECT_ID} + MOSS_PROJECT_KEY: ${MOSS_PROJECT_KEY} + # Server configuration + PORT: 3000 + DEFAULT_INDEX: default + NODE_ENV: production + healthcheck: + test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:3000/health"] + interval: 30s + timeout: 3s + retries: 3 + start_period: 5s + restart: unless-stopped + # Limit resources + deploy: + resources: + limits: + cpus: '2' + memory: 1G + reservations: + cpus: '1' + memory: 512M + # Add logging + logging: + driver: "json-file" + options: + max-size: "10m" + max-file: "3" diff --git a/apps/moss-bun/examples.sh b/apps/moss-bun/examples.sh new file mode 100755 index 00000000..b154a3c8 --- /dev/null +++ b/apps/moss-bun/examples.sh @@ -0,0 +1,124 @@ +#!/bin/bash +# Moss Bun API Examples + +BASE_URL="http://localhost:3000" + +# Colors for output +GREEN='\033[0;32m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +echo -e "${BLUE}🌿 Moss Bun API Examples${NC}\n" + +# 1. Health Check +echo -e "${GREEN}1. Health Check${NC}" +curl -s "$BASE_URL/health" | jq . +echo "" + +# 2. Server Status +echo -e "${GREEN}2. Server Status${NC}" +curl -s "$BASE_URL/status" | jq . +echo "" + +# 3. Initialize Index +echo -e "${GREEN}3. Initialize Index${NC}" +curl -s -X POST "$BASE_URL/api/initialize" \ + -H "Content-Type: application/json" \ + -d '{ + "indexName": "example-index", + "documents": [ + { + "id": "1", + "text": "Moss is a semantic search runtime for AI agents" + }, + { + "id": "2", + "text": "Bun is a JavaScript runtime and toolkit" + }, + { + "id": "3", + "text": "Semantic search finds documents by meaning, not keywords" + }, + { + "id": "4", + "text": "LLMs can power intelligent search and retrieval" + }, + { + "id": "5", + "text": "RAG combines retrieval with language generation" + } + ] + }' | jq . +echo "" + +# 4. List Loaded Indexes +echo -e "${GREEN}4. List Loaded Indexes${NC}" +curl -s "$BASE_URL/api/indexes" | jq . +echo "" + +# 5. Single Search +echo -e "${GREEN}5. Single Search${NC}" +curl -s -X POST "$BASE_URL/api/search" \ + -H "Content-Type: application/json" \ + -d '{ + "query": "What is semantic search?", + "topK": 3, + "indexName": "example-index" + }' | jq . +echo "" + +# 6. Batch Search +echo -e "${GREEN}6. Batch Search${NC}" +curl -s -X POST "$BASE_URL/api/search-batch" \ + -H "Content-Type: application/json" \ + -d '{ + "queries": [ + "What is Moss?", + "Tell me about Bun", + "Explain RAG" + ], + "topK": 2, + "indexName": "example-index" + }' | jq . +echo "" + +# 7. Add Documents +echo -e "${GREEN}7. Add Documents${NC}" +curl -s -X POST "$BASE_URL/api/docs/add" \ + -H "Content-Type: application/json" \ + -d '{ + "indexName": "example-index", + "documents": [ + { + "id": "6", + "text": "Vector embeddings convert text into semantic representations" + } + ] + }' | jq . +echo "" + +# 8. Get Index Info +echo -e "${GREEN}8. Get Index Info${NC}" +curl -s "$BASE_URL/api/index/example-index" | jq . +echo "" + +# 9. Get Specific Document +echo -e "${GREEN}9. Get Specific Document${NC}" +curl -s "$BASE_URL/api/docs/example-index/1" | jq . +echo "" + +# 10. Performance Benchmark +echo -e "${GREEN}10. Performance Benchmark${NC}" +echo "Running 5 sequential searches..." +for i in {1..5}; do + echo "Query $i..." + curl -s -X POST "$BASE_URL/api/search" \ + -H "Content-Type: application/json" \ + -d "{ + \"query\": \"search query $i\", + \"topK\": 2, + \"indexName\": \"example-index\" + }" | jq '.timeTakenMs' +done + +echo -e "\n${BLUE}✅ Examples complete!${NC}" diff --git a/apps/moss-bun/package.json b/apps/moss-bun/package.json new file mode 100644 index 00000000..2b05afb0 --- /dev/null +++ b/apps/moss-bun/package.json @@ -0,0 +1,30 @@ +{ + "name": "moss-bun-app", + "version": "1.0.0", + "description": "Production-ready Moss semantic search application built with Bun", + "type": "module", + "main": "src/index.ts", + "scripts": { + "dev": "bun run --watch src/index.ts", + "start": "bun run src/index.ts", + "cli": "bun run src/cli.ts", + "test": "bun test", + "test:watch": "bun test --watch", + "seed": "bun run src/seed.ts", + "build": "bun build src/index.ts --outdir dist", + "type-check": "bun check", + "format": "prettier --write ." + }, + "dependencies": { + "@moss-dev/moss": "^1.0.0", + "dotenv": "^17.2.3", + "elysia": "^1.1.12" + }, + "devDependencies": { + "@types/bun": "latest", + "prettier": "^3.1.0" + }, + "engines": { + "bun": ">=1.0.0" + } +} diff --git a/apps/moss-bun/src/cli.ts b/apps/moss-bun/src/cli.ts new file mode 100644 index 00000000..b57348df --- /dev/null +++ b/apps/moss-bun/src/cli.ts @@ -0,0 +1,251 @@ +#!/usr/bin/env bun +/** + * Moss Bun CLI + * + * Command-line interface for Moss semantic search + */ + +import { MossClient } from "@moss-dev/moss"; +import { config } from "dotenv"; + +config(); + +const MOSS_PROJECT_ID = process.env.MOSS_PROJECT_ID || ""; +const MOSS_PROJECT_KEY = process.env.MOSS_PROJECT_KEY || ""; + +if (!MOSS_PROJECT_ID || !MOSS_PROJECT_KEY) { + console.error("❌ Error: MOSS_PROJECT_ID and MOSS_PROJECT_KEY are required"); + process.exit(1); +} + +const client = new MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY); + +// Parse command line arguments +const command = process.argv[2]; +const args = process.argv.slice(3); + +async function main() { + switch (command) { + case "search": { + const query = args[0]; + const indexName = args[1] || "default"; + const topK = parseInt(args[2] || "5"); + + if (!query) { + console.error("Usage: bun run cli.ts search [indexName] [topK]"); + process.exit(1); + } + + try { + console.log(`Searching "${indexName}" for: "${query}"\n`); + + await client.loadIndex(indexName); + const results = await client.query(indexName, query, { topK }); + + console.log(`Found ${results.docs.length} results in ${results.timeTakenInMs}ms\n`); + + results.docs.forEach((doc, i) => { + console.log(`${i + 1}. [${doc.id}] Score: ${doc.score.toFixed(3)}`); + console.log(` ${doc.text}\n`); + }); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + case "init": { + const indexName = args[0]; + const docCount = parseInt(args[1] || "5"); + + if (!indexName) { + console.error("Usage: bun run cli.ts init [docCount]"); + process.exit(1); + } + + try { + console.log(`📝 Creating index "${indexName}" with ${docCount} sample documents...\n`); + + // Create sample documents + const documents = Array.from({ length: docCount }, (_, i) => ({ + id: `doc-${i + 1}`, + text: [ + "Moss is a semantic search runtime for AI agents with sub-10ms latency", + "Built-in embeddings mean you don't need external APIs or services", + "Perfect for real-time voice bots, copilots, and conversational AI", + "Supports Python and TypeScript SDKs with async-first design", + "Includes metadata filtering with $eq, $and, $in, $near operators", + ][i % 5], + })); + + await client.createIndex(indexName, documents); + console.log(`✓ Index "${indexName}" created successfully`); + console.log(` Documents: ${documents.length}`); + console.log(` Ready for queries!\n`); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + case "list": { + try { + console.log(`📚 Listing all indexes...\n`); + const indexes = await client.listIndexes(); + + if (indexes.length === 0) { + console.log("No indexes found"); + } else { + indexes.forEach((index) => { + console.log(`• ${index.name}`); + console.log(` Created: ${new Date(index.createdAt || "").toLocaleString()}`); + console.log(); + }); + } + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + case "info": { + const indexName = args[0]; + + if (!indexName) { + console.error("Usage: bun run cli.ts info "); + process.exit(1); + } + + try { + console.log(`📊 Index info for "${indexName}":\n`); + const index = await client.getIndex(indexName); + + console.log(`Name: ${index.name}`); + console.log(`Created: ${new Date(index.createdAt || "").toLocaleString()}`); + console.log(`Updated: ${new Date(index.updatedAt || "").toLocaleString()}`); + console.log(); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + case "delete": { + const indexName = args[0]; + + if (!indexName) { + console.error("Usage: bun run cli.ts delete "); + process.exit(1); + } + + try { + console.log(`🗑️ Deleting index "${indexName}"...`); + await client.deleteIndex(indexName); + console.log(` Index deleted\n`); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + case "interactive": { + const indexName = args[0] || "default"; + + try { + console.log(`\n🌿 Moss Interactive Search`); + console.log(`📚 Index: ${indexName}\n`); + console.log(`Type 'quit' to exit\n`); + + await client.loadIndex(indexName); + + const readline = require("readline"); + const rl = readline.createInterface({ + input: process.stdin, + output: process.stdout, + }); + + const askQuestion = (): void => { + rl.question("🔍 Search: ", async (query: string) => { + if (query.toLowerCase() === "quit") { + console.log("\nGoodbye!"); + rl.close(); + return; + } + + try { + const results = await client.query(indexName, query, { topK: 3 }); + + console.log( + `\n✓ Found ${results.docs.length} results in ${results.timeTakenInMs}ms\n` + ); + + results.docs.forEach((doc, i) => { + console.log(`${i + 1}. [${doc.id}] ${doc.score.toFixed(3)}`); + console.log(` ${doc.text}\n`); + }); + } catch (error) { + console.error("Error:", error); + } + + askQuestion(); + }); + }; + + askQuestion(); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } + break; + } + + default: { + console.log(` +Moss Bun CLI + +Usage: bun run cli.ts [options] + +Commands: + + search [indexName] [topK] + Search for documents + Example: bun run cli.ts search "what is moss?" my-index 5 + + init [docCount] + Create a new index with sample documents + Example: bun run cli.ts init my-index 10 + + list + List all indexes + Example: bun run cli.ts list + + info + Get index information + Example: bun run cli.ts info my-index + + delete + Delete an index + Example: bun run cli.ts delete my-index + + interactive [indexName] + Interactive search mode + Example: bun run cli.ts interactive my-index + +Environment Variables: + MOSS_PROJECT_ID Your Moss project ID (required) + MOSS_PROJECT_KEY Your Moss project key (required) +`); + process.exit(0); + } + } +} + +main().catch((error) => { + console.error("Fatal error:", error); + process.exit(1); +}); diff --git a/apps/moss-bun/src/index.ts b/apps/moss-bun/src/index.ts new file mode 100644 index 00000000..ff968e8a --- /dev/null +++ b/apps/moss-bun/src/index.ts @@ -0,0 +1,476 @@ +/** + * Moss Bun Server + * + * Production-ready REST API for Moss semantic search + * Built with Bun + Elysia + */ + +import { Elysia } from "elysia"; +import { MossClient } from "@moss-dev/moss"; +import { config } from "dotenv"; + +// Load environment variables +config(); + +interface SearchRequest { + query: string; + topK?: number; + indexName?: string; +} + +interface SearchResponse { + success: boolean; + query?: string; + results?: Array<{ + id: string; + text: string; + score: number; + metadata?: Record; + }>; + timeTakenMs?: number; + error?: string; +} + +interface InitializeRequest { + indexName: string; + documents: Array<{ + id: string; + text: string; + metadata?: Record; + }>; +} + +// Environment variables +const MOSS_PROJECT_ID = process.env.MOSS_PROJECT_ID || ""; +const MOSS_PROJECT_KEY = process.env.MOSS_PROJECT_KEY || ""; +const PORT = parseInt(process.env.PORT || "3000"); +const DEFAULT_INDEX = process.env.DEFAULT_INDEX || "default"; + +if (!MOSS_PROJECT_ID || !MOSS_PROJECT_KEY) { + console.error("❌ Error: MOSS_PROJECT_ID and MOSS_PROJECT_KEY are required"); + console.error("Set them in .env file or environment variables"); + process.exit(1); +} + +// Initialize Moss client +const mossClient = new MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY); + +// Track loaded indexes +const loadedIndexes = new Set(); + +// Track in-flight loads to prevent race conditions +const loadingIndexes = new Map>(); + +/** + * Load an index if not already loaded + * Prevents race conditions by deduplicating concurrent loads + */ +async function ensureIndexLoaded(indexName: string): Promise { + // Return immediately if already loaded + if (loadedIndexes.has(indexName)) { + return true; + } + + // Return existing in-flight promise if load is already in progress + if (loadingIndexes.has(indexName)) { + return loadingIndexes.get(indexName)!; + } + + // Create new load promise + let loadPromise: Promise; + loadPromise = (async () => { + try { + await mossClient.loadIndex(indexName); + loadedIndexes.add(indexName); + return true; + } catch (error) { + console.error(`Failed to load index "${indexName}":`, error); + return false; + } finally { + // Only delete if this is still our entry (another operation may have overwritten it) + if (loadingIndexes.get(indexName) === loadPromise) { + loadingIndexes.delete(indexName); + } + } + })(); + + // Track in-flight load + loadingIndexes.set(indexName, loadPromise); + + return loadPromise; +} + +/** + * Create Elysia server + */ +const app = new Elysia() + // ============================================================================ + // HEALTH & STATUS + // ============================================================================ + .get("/health", () => { + return { + status: "ok", + service: "moss-bun", + timestamp: new Date().toISOString(), + loadedIndexes: Array.from(loadedIndexes), + }; + }) + + .get("/status", () => { + return { + service: "moss-bun", + version: "1.0.0", + runtime: "bun", + uptime: process.uptime(), + memory: process.memoryUsage(), + indexes: Array.from(loadedIndexes), + }; + }) + + + .post("/api/initialize", async ({ body }: any) => { + try { + const { indexName, documents } = body; + + if (!indexName || !documents || !Array.isArray(documents)) { + return { + success: false, + error: "Invalid request: indexName and documents array are required", + }; + } + + if (documents.length === 0) { + return { + success: false, + error: "Documents array cannot be empty", + }; + } + + console.log( + `📝 Creating index "${indexName}" with ${documents.length} documents...` + ); + + // Register this initialize operation in loadingIndexes so that concurrent + // ensureIndexLoaded calls will wait on it instead of starting their own load + const initPromise: Promise = (async () => { + try { + // Invalidate cache first — createIndex changes server state, so the + // previously-loaded in-memory index is stale regardless of whether + // the subsequent loadIndex succeeds. + loadedIndexes.delete(indexName); + await mossClient.createIndex(indexName, documents); + + // Load index + await mossClient.loadIndex(indexName); + loadedIndexes.add(indexName); + return true; + } catch (error) { + console.error(`Failed to initialize index "${indexName}":`, error); + return false; + } finally { + // Only delete if this is still our entry (another operation may have overwritten it) + if (loadingIndexes.get(indexName) === initPromise) { + loadingIndexes.delete(indexName); + } + } + })(); + + // Register the in-flight initialize operation + loadingIndexes.set(indexName, initPromise); + + // Wait for it to complete + const success = await initPromise; + + if (!success) { + return { + success: false, + error: `Failed to create and load index "${indexName}"`, + }; + } + + console.log(`✓ Index "${indexName}" created and loaded`); + + return { + success: true, + message: `Index "${indexName}" created with ${documents.length} documents`, + indexName, + documentCount: documents.length, + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + console.error("Initialize error:", errorMsg); + return { success: false, error: errorMsg }; + } + }) + + .post("/api/load/:indexName", async ({ params }: { params: { indexName: string } }) => { + try { + const { indexName } = params; + + if (loadedIndexes.has(indexName)) { + return { success: true, message: `Index "${indexName}" already loaded` }; + } + + console.log(`🔄 Loading index "${indexName}"...`); + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { success: false, error: `Index "${indexName}" could not be loaded` }; + } + + return { success: true, message: `Index "${indexName}" loaded successfully` }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + }) + + .get("/api/indexes", () => { + return { + success: true, + indexes: Array.from(loadedIndexes), + count: loadedIndexes.size, + }; + }) + + .delete("/api/index/:indexName", async ({ params }: { params: { indexName: string } }) => { + try { + const { indexName } = params; + + await mossClient.deleteIndex(indexName); + loadedIndexes.delete(indexName); + + return { success: true, message: `Index "${indexName}" deleted` }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + }) + + // ============================================================================ + // SEARCH + // ============================================================================ + .post("/api/search", async ({ body }: { body: SearchRequest }): Promise => { + try { + const { query, topK = 5, indexName = DEFAULT_INDEX } = body; + + if (!query) { + return { success: false, error: "Query is required" }; + } + + // Ensure index is loaded + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { + success: false, + error: `Index "${indexName}" not found or could not be loaded`, + }; + } + + console.log(`🔍 Searching "${indexName}" for: "${query}"`); + + const startTime = Date.now(); + const results = await mossClient.query(indexName, query, { topK }); + const elapsedTime = Date.now() - startTime; + + console.log( + `✓ Found ${results.docs.length} results in ${results.timeTakenInMs}ms (Bun: ${elapsedTime}ms)` + ); + + return { + success: true, + query, + results: results.docs.map((doc) => ({ + id: doc.id, + text: doc.text, + score: doc.score, + metadata: doc.metadata, + })), + timeTakenMs: results.timeTakenInMs, + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + console.error("Search error:", errorMsg); + return { success: false, error: errorMsg }; + } + }) + + // Batch search + .post( + "/api/search-batch", + async ({ + body, + }: { + body: { queries: string[]; topK?: number; indexName?: string }; + }) => { + try { + const { queries, topK = 5, indexName = DEFAULT_INDEX } = body; + + if (!Array.isArray(queries) || queries.length === 0) { + return { success: false, error: "Queries array is required" }; + } + + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { success: false, error: `Index "${indexName}" not found` }; + } + + console.log(`🔍 Batch search: ${queries.length} queries on "${indexName}"`); + + const results = await Promise.all( + queries.map(async (query) => { + const queryResults = await mossClient.query(indexName, query, { topK }); + return { + query, + results: queryResults.docs.map((doc) => ({ + id: doc.id, + text: doc.text, + score: doc.score, + })), + timeTakenMs: queryResults.timeTakenInMs, + }; + }) + ); + + return { + success: true, + batchSize: queries.length, + results, + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + } + ) + + // ============================================================================ + // DOCUMENT OPERATIONS + // ============================================================================ + .post( + "/api/docs/add", + async ({ + body, + }: { + body: { indexName: string; documents: Array<{ id: string; text: string }> }; + }) => { + try { + const { indexName, documents } = body; + + if (!indexName || !Array.isArray(documents) || documents.length === 0) { + return { success: false, error: "indexName and documents are required" }; + } + + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { success: false, error: `Index "${indexName}" not found` }; + } + + console.log(`➕ Adding ${documents.length} documents to "${indexName}"`); + + await mossClient.addDocs(indexName, documents, { upsert: true }); + + // Reload index to ensure queries return updated data + try { + await mossClient.loadIndex(indexName); + } catch (reloadError) { + // Invalidate cache so subsequent requests will retry the reload + loadedIndexes.delete(indexName); + console.error(`Failed to reload index "${indexName}" after adding documents:`, reloadError); + throw reloadError; + } + + return { + success: true, + message: `Added ${documents.length} documents to "${indexName}"`, + count: documents.length, + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + } + ) + + .delete("/api/docs/delete", async ({ body }: { body: { indexName: string; docIds: string[] } }) => { + try { + const { indexName, docIds } = body; + + if (!indexName || !Array.isArray(docIds) || docIds.length === 0) { + return { success: false, error: "indexName and docIds array are required" }; + } + + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { success: false, error: `Index "${indexName}" not found` }; + } + + await mossClient.deleteDocs(indexName, docIds); + + // Reload index to ensure queries return updated data + try { + await mossClient.loadIndex(indexName); + } catch (reloadError) { + // Invalidate cache so subsequent requests will retry the reload + loadedIndexes.delete(indexName); + console.error(`Failed to reload index "${indexName}" after deleting documents:`, reloadError); + throw reloadError; + } + + return { + success: true, + message: `Deleted ${docIds.length} documents from "${indexName}"`, + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + }) + + .get( + "/api/docs/:indexName/:docId", + async ({ params }: { params: { indexName: string; docId: string } }) => { + try { + const { indexName, docId } = params; + + const isLoaded = await ensureIndexLoaded(indexName); + if (!isLoaded) { + return { success: false, error: `Index "${indexName}" not found` }; + } + + const docs = await mossClient.getDocs(indexName, { docIds: [docId] }); + + if (docs.length === 0) { + return { success: false, error: `Document "${docId}" not found` }; + } + + return { success: true, doc: docs[0] }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + } + ) + + // ============================================================================ + // INFO + // ============================================================================ + .get("/api/index/:indexName", async ({ params }: { params: { indexName: string } }) => { + try { + const { indexName } = params; + + const indexInfo = await mossClient.getIndex(indexName); + + return { + success: true, + index: indexInfo, + isLoaded: loadedIndexes.has(indexName), + }; + } catch (error) { + const errorMsg = error instanceof Error ? error.message : String(error); + return { success: false, error: errorMsg }; + } + }) + + .listen(PORT); + +console.log(`🌿 Moss Bun Server listening on http://localhost:${PORT}`); diff --git a/apps/moss-bun/src/moss.test.ts b/apps/moss-bun/src/moss.test.ts new file mode 100644 index 00000000..814e3792 --- /dev/null +++ b/apps/moss-bun/src/moss.test.ts @@ -0,0 +1,144 @@ +/** + * Moss Bun Tests + * + * Tests for Moss SDK integration with Bun + */ + +import { describe, it, expect, beforeAll, afterAll } from "bun:test"; +import { MossClient } from "@moss-dev/moss"; +import { config } from "dotenv"; + +config(); + +const MOSS_PROJECT_ID = process.env.MOSS_PROJECT_ID || ""; +const MOSS_PROJECT_KEY = process.env.MOSS_PROJECT_KEY || ""; + +// Skip tests if credentials are not set +const testIndexName = `moss-bun-test-${Date.now()}`; +const hasMossCredentials = Boolean(MOSS_PROJECT_ID && MOSS_PROJECT_KEY); +let client: MossClient; +(hasMossCredentials ? describe : describe.skip)("Moss Bun Integration", () => { + beforeAll(() => { + client = new MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY); + }); + + describe("Index Operations", () => { + it("should create an index with documents", async () => { + const documents = [ + { id: "1", text: "Moss is a semantic search runtime" }, + { id: "2", text: "Bun is a JavaScript runtime" }, + { id: "3", text: "TypeScript adds static typing" }, + ]; + + const startTime = Date.now(); + await client.createIndex(testIndexName, documents); + const elapsed = Date.now() - startTime; + + console.log(` Created index in ${elapsed}ms`); + expect(true).toBe(true); + }, { timeout: 15000 }); // 15 second timeout for API call + + it("should load an index", async () => { + const startTime = Date.now(); + await client.loadIndex(testIndexName); + const elapsed = Date.now() - startTime; + + console.log(` Loaded index in ${elapsed}ms`); + expect(true).toBe(true); + }, { timeout: 10000 }); // 10 second timeout + }); + + describe("Search Operations", () => { + it("should perform a semantic search", async () => { + const results = await client.query(testIndexName, "what is moss?", { topK: 3 }); + + expect(results.docs).toBeArray(); + expect(results.timeTakenInMs).toBeGreaterThanOrEqual(0); // Can be 0ms (< 1ms) + + if (results.docs.length > 0) { + expect(results.docs[0].score).toBeLessThanOrEqual(1); + expect(results.docs[0].score).toBeGreaterThanOrEqual(0); + } + }, { timeout: 10000 }); + + it("should handle batch queries", async () => { + const queries = ["moss", "bun", "typescript"]; + const results = await Promise.all( + queries.map((q) => client.query(testIndexName, q, { topK: 2 })) + ); + + expect(results).toHaveLength(3); + results.forEach((result) => { + expect(result.docs).toBeArray(); + }); + }, { timeout: 15000 }); + + it("should respect topK parameter", async () => { + const topK = 2; + const results = await client.query(testIndexName, "search", { topK }); + + expect(results.docs.length).toBeLessThanOrEqual(topK); + }, { timeout: 10000 }); + }); + + describe("Document Operations", () => { + it("should add documents", async () => { + const newDocs = [{ id: "4", text: "New document about Moss" }]; + + await client.addDocs(testIndexName, newDocs, { upsert: true }); + expect(true).toBe(true); + }, { timeout: 10000 }); + + it("should get documents by ID", async () => { + const docs = await client.getDocs(testIndexName, { docIds: ["1"] }); + + expect(docs).toBeArray(); + if (docs.length > 0) { + expect(docs[0].id).toBe("1"); + expect(docs[0].text).toContain("Moss"); + } + }, { timeout: 10000 }); + }); + + describe("Performance", () => { + it("should complete queries in reasonable time", async () => { + const start = Date.now(); + const results = await client.query(testIndexName, "moss", { topK: 5 }); + const elapsed = Date.now() - start; + + console.log(` Query completed in ${elapsed}ms (Moss: ${results.timeTakenInMs}ms)`); + + // Bun + Moss should be quite fast + expect(elapsed).toBeLessThan(15000); + expect(results.timeTakenInMs).toBeLessThan(10000); + }, { timeout: 15000 }); + }); + + afterAll(async () => { + try { + // Cleanup: delete test index + await client.deleteIndex(testIndexName); + } catch (error) { + // Ignore cleanup errors + } + }); +}); + +describe("Bun Runtime Features", () => { + it("should have access to Bun APIs", () => { + expect(Bun).toBeDefined(); + expect(Bun.env).toBeDefined(); + }); + + it("should measure memory usage", () => { + const mem = process.memoryUsage(); + + expect(mem.rss).toBeGreaterThan(0); + expect(mem.heapUsed).toBeGreaterThan(0); + expect(mem.heapTotal).toBeGreaterThan(0); + }); + + it("should measure uptime", () => { + expect(process.uptime()).toBeGreaterThan(0); + }); +}); diff --git a/apps/moss-bun/src/seed.ts b/apps/moss-bun/src/seed.ts new file mode 100644 index 00000000..141bad78 --- /dev/null +++ b/apps/moss-bun/src/seed.ts @@ -0,0 +1,140 @@ +/** + * Seed Script for Moss Bun + * + * Populates the index with sample data for demo/testing + */ + +import { MossClient } from "@moss-dev/moss"; +import { config } from "dotenv"; + +config(); + +const MOSS_PROJECT_ID = process.env.MOSS_PROJECT_ID || ""; +const MOSS_PROJECT_KEY = process.env.MOSS_PROJECT_KEY || ""; + +if (!MOSS_PROJECT_ID || !MOSS_PROJECT_KEY) { + console.error("❌ Error: MOSS_PROJECT_ID and MOSS_PROJECT_KEY are required"); + process.exit(1); +} + +const client = new MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY); + +// Sample documents about different topics +const SAMPLE_DOCUMENTS = [ + // Moss Documentation + { + id: "moss-intro", + text: "Moss is a semantic search runtime designed for AI agents. It delivers sub-10ms search results with built-in embeddings, making it perfect for real-time conversational applications.", + }, + { + id: "moss-features", + text: "Key features of Moss: sub-10ms latency, built-in embedding models, metadata filtering, document management, and framework integrations with LangChain, DSPy, and Pipecat.", + }, + { + id: "moss-performance", + text: "Moss achieves P50 latency of 3.1ms, P95 of 4.3ms, and P99 of 5.4ms on 100,000 documents. This includes embedding computation, unlike competitors that use external services.", + }, + { + id: "moss-sdks", + text: "Moss provides async-first SDKs for Python and TypeScript. The Python SDK uses asyncio, while the TypeScript SDK is compatible with Node.js, Bun, and Deno.", + }, + + // Bun Information + { + id: "bun-runtime", + text: "Bun is an all-in-one JavaScript/TypeScript runtime that replaces Node.js, npm, and webpack. It executes code 2-3x faster than Node.js with native TypeScript support.", + }, + { + id: "bun-features", + text: "Bun includes built-in HTTP server, package manager, bundler, test runner, and shell scripting. It's compatible with npm packages and provides WebSocket support.", + }, + { + id: "bun-ecosystem", + text: "Bun supports popular frameworks like Next.js, React, Vue, and Express. It can generate standalone executables and has a Jest-compatible test runner.", + }, + + // AI & LLM + { + id: "llm-intro", + text: "Large Language Models (LLMs) are neural networks trained on vast amounts of text data. They can generate human-like text, answer questions, and assist with various NLP tasks.", + }, + { + id: "rag-pattern", + text: "Retrieval-Augmented Generation (RAG) combines semantic search with language models. It retrieves relevant documents first, then uses them as context for generation.", + }, + { + id: "embeddings", + text: "Embeddings are dense vector representations of text. Modern embedding models like BERT and sentence-transformers convert text into semantic vectors for similarity search.", + }, + + // Development + { + id: "typescript-benefits", + text: "TypeScript adds static typing to JavaScript, enabling better IDE support, early error detection, and improved code maintainability for large projects.", + }, + { + id: "rest-api", + text: "REST APIs use HTTP methods (GET, POST, PUT, DELETE) to perform CRUD operations on resources. They're stateless and widely supported across all platforms.", + }, + { + id: "docker-containerization", + text: "Docker containers package applications with dependencies, ensuring consistent execution across development, testing, and production environments.", + }, +]; + +async function seed() { + console.log("🌱 Seeding Moss index...\n"); + + const indexName = process.argv[2] || "moss-demo"; + + try { + console.log(`📝 Creating index "${indexName}" with ${SAMPLE_DOCUMENTS.length} documents...\n`); + + // Create index with documents + await client.createIndex(indexName, SAMPLE_DOCUMENTS); + + console.log(`✓ Index created successfully!\n`); + + // Load index + console.log(`🔄 Loading index for verification...\n`); + await client.loadIndex(indexName); + + console.log(`✓ Index loaded!\n`); + + // Test a search + console.log(`🔍 Testing search capability...\n`); + + const testQueries = ["what is moss?", "tell me about bun", "explain embeddings"]; + + for (const query of testQueries) { + const results = await client.query(indexName, query, { topK: 2 }); + + console.log(`Query: "${query}"`); + console.log(`Results (${results.timeTakenInMs}ms):`); + + results.docs.forEach((doc, i) => { + const preview = doc.text.substring(0, 60) + "..."; + console.log(` ${i + 1}. [${doc.id}] ${doc.score.toFixed(3)} - ${preview}`); + }); + + console.log(); + } + + console.log(` + ✅ Seeding Complete! + Index Name: ${indexName} + Documents: ${SAMPLE_DOCUMENTS.length} + Status: Ready for queries + +Now you can: + • Start the server: bun run src/index.ts + • Search via CLI: bun run src/cli.ts search "query" ${indexName} + • Use the API: curl -X POST http://localhost:3000/api/search +`); + } catch (error) { + console.error("❌ Error:", error); + process.exit(1); + } +} + +seed(); diff --git a/apps/moss-llamaindex/.gitignore b/apps/moss-llamaindex/.gitignore new file mode 100644 index 00000000..f0da3310 --- /dev/null +++ b/apps/moss-llamaindex/.gitignore @@ -0,0 +1,27 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +.venv/ +venv/ +ENV/ +env/ +.env +.env.local + +# Node +node_modules/ +.next/ + +# Project specific +paper_cache/ +.claude/ + +# OS specific +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db diff --git a/apps/moss-llamaindex/README.md b/apps/moss-llamaindex/README.md new file mode 100644 index 00000000..173e153f --- /dev/null +++ b/apps/moss-llamaindex/README.md @@ -0,0 +1,326 @@ +# Moss + Liteparse Demo (LlamaIndex) + +A full-stack demonstration of document processing and semantic search powered by **Liteparse** (PDF parsing) and **Moss** (vector search). + +## Overview + +This demo application showcases: +- **PDF Document Processing**: Parse and extract text from PDFs using Liteparse +- **Intelligent Chunking**: Split documents into semantic chunks with sentence-based overlap +- **Vector Search**: Create and query indexes using Moss for semantic retrieval +- **Real-time Streaming**: Get search results streamed via Server-Sent Events (SSE) +- **Modern UI**: Next.js frontend with TypeScript, React 19, and Tailwind CSS + +## Architecture + +``` +┌─────────────────────┐ +│ Next.js Frontend │ +│ (React + TS) │ +└──────────┬──────────┘ + │ HTTP/SSE + ↓ +┌─────────────────────┐ +│ FastAPI Backend │ +│ - PDF Upload │ +│ - Text Chunking │ +│ - Moss Index │ +│ - Query/Stream │ +└──────────┬──────────┘ + │ + ↓ +┌─────────────────────┐ +│ Moss Service │ +│ (Vector Search) │ +└─────────────────────┘ +``` + +## Project Structure + +``` +moss-llamaindex/ +├── backend/ # FastAPI backend +│ ├── main.py # Main FastAPI application +│ ├── seed_index.py # Pre-index PDFs into Moss +│ ├── requirements.txt # Python dependencies +│ ├── Dockerfile # Docker container setup +│ ├── .env.example # Environment variables template +│ └── .dockerignore # Docker ignore patterns +│ +└── frontend/ # Next.js frontend + ├── app/ # Next.js app directory + │ ├── layout.tsx # Root layout component + │ └── globals.css # Global styles + ├── components/ # React components + │ ├── common/ # Shared components (navbar, footer) + │ ├── demo/ # Demo-specific components (chat, upload, progress) + │ └── ui/ # UI primitives (buttons) + ├── lib/ # Utilities + ├── public/ # Static assets + ├── package.json # Node.js dependencies + ├── tsconfig.json # TypeScript config + ├── tailwind.config.js # Tailwind CSS config + └── next.config.mjs # Next.js config +``` + +## Prerequisites + +- **Python 3.12+** (backend) +- **Node.js 20+** (frontend & Liteparse) +- **Moss Project Credentials** (MOSS_PROJECT_ID and MOSS_PROJECT_KEY) +- Docker (optional, for containerized backend) + +## Setup + +### Backend Setup + +1. **Install Python dependencies**: + ```bash + cd apps/moss-llamaindex/backend + pip install -r requirements.txt + python -c "import nltk; nltk.download('punkt_tab')" + ``` + +2. **Configure environment**: + ```bash + cp .env.example .env + # Edit .env with your credentials + # MOSS_PROJECT_ID=your_project_id + # MOSS_PROJECT_KEY=your_project_key + # SEED_INDEX_NAME=transformer-paper (optional) + ``` + +3. **Run the backend**: + ```bash + cd apps/moss-llamaindex/backend + python main.py + # Server runs on http://localhost:8000 + ``` + +### Frontend Setup + +1. **Install Node.js dependencies**: + ```bash + cd apps/moss-llamaindex/frontend + npm install + ``` + +2. **Run the development server**: + ```bash + npm run dev + # Server runs on http://localhost:3001 + ``` + +3. **Build for production**: + ```bash + npm run build + npm start + ``` + +### Docker Setup (Backend Only) + +1. **Build the Docker image**: + ```bash + cd apps/moss-llamaindex/backend + docker build -t moss-llamaindex . + ``` + +2. **Run the container**: + ```bash + docker run -p 8000:8000 \ + -e MOSS_PROJECT_ID=your_project_id \ + -e MOSS_PROJECT_KEY=your_project_key \ + -e SEED_INDEX_NAME=transformer-paper \ + moss-llamaindex + ``` + +## Environment Variables + +### Backend (.env or docker -e) + +| Variable | Required | Description | Example | +|----------|----------|-------------|---------| +| `MOSS_PROJECT_ID` | Yes | Moss project identifier | `proj_abc123` | +| `MOSS_PROJECT_KEY` | Yes | Moss API key for authentication | `sk_live_...` | +| `SEED_INDEX_NAME` | No | Pre-indexed seed document name | `transformer-paper` | +| `SEED_CHUNK_COUNT` | No | Number of chunks in seed index | `512` | +| `PORT` | No | Server port (Docker only) | `8000` | + +## API Endpoints + +### Backend Routes + +All endpoints are prefixed with `/llamaindex`. + +#### Health Check +- **GET** `/health` + - Returns: `{ "status": "ok" }` + - Use for liveness/readiness checks + +#### Upload & Index PDFs +- **POST** `/api/upload` + - Request: Form data with PDF files (max 5 files) + - Response: + ```json + { + "session_id": "a1b2c3d4", + "chunk_count": 512, + "elapsed_seconds": 45, + "files": ["document.pdf"] + } + ``` + - Creates a new Moss index and returns session ID + +#### Query with Streaming +- **POST** `/api/chat/{session_id}` + - Request: `{ "question": "What is this about?" }` + - Response: Server-Sent Events (SSE) + - Event format: + ```json + { + "type": "shard", + "shard": 1, + "total": 1, + "time_ms": 234, + "index": "pdf-a1b2c3d4", + "docs": [ + { + "id": "document.pdf-p1-c0", + "text": "Chunk content...", + "score": 0.892, + "source": "document.pdf", + "page": "1" + } + ] + } + ``` + +#### Load Sample Index +- **GET** `/api/sample` + - Returns: Pre-indexed seed document session details + - Only available if `SEED_INDEX_NAME` is configured + +#### Stream Status (Placeholder) +- **GET** `/api/stream/{session_id}` + - Returns: SSE with completion status + +## Key Components + +### Backend + +**main.py** - FastAPI Application +- PDF upload and parsing with Liteparse +- Intelligent text chunking with sentence-based overlap +- Moss index creation and querying +- SSE-based result streaming +- Session management for multiple concurrent uploads + +**seed_index.py** - Index Pre-creation Tool +- Pre-index a PDF into Moss for caching +- Useful for creating demo indexes that load instantly +- Usage: `python seed_index.py /path/to/file.pdf index-name` + +### Frontend + +**chat-section.tsx** - Chat Interface +- Query interface with message display +- Integrates with backend SSE for real-time results +- Shows source documents and relevance scores + +**upload-section.tsx** - File Upload +- Drag-and-drop PDF upload +- Multi-file support (up to 5 files) +- File validation + +**indexing-progress.tsx** - Progress Tracking +- Shows indexing progress +- Displays chunk count and processing time +- Real-time status updates + +## Workflow + +1. **User uploads PDF(s)** via the frontend +2. **Backend processes**: + - Parse PDFs with Liteparse + - Extract text and split into chunks + - Create Moss index with document metadata +3. **User queries** the indexed documents +4. **Backend streams** relevant chunks back with similarity scores +5. **Frontend displays** results with source attribution + +## Text Chunking Strategy + +Documents are split into semantic chunks with the following logic: + +- **Target**: ~400 words per chunk +- **Overlap**: Last 2 sentences carried forward to next chunk +- **Method**: Sentence-based splitting (NLTK punkt tokenizer) +- **Result**: Complete sentences preserved in all chunks + +This approach balances: +- Query context (enough content per chunk) +- Relevance (sentence boundaries preserve meaning) +- Efficiency (controlled overlap prevents data duplication) + +## Development Tips + +### Adding New Features +1. Frontend changes go in `/frontend/components/` +2. Backend API changes go in `/backend/main.py` +3. Update `.env.example` if new env vars are added + +### Testing the API +```bash +# Health check +curl http://localhost:8000/llamaindex/health + +# Upload a PDF +curl -X POST \ + -F "files=@document.pdf" \ + http://localhost:8000/llamaindex/api/upload + +# Query (replace SESSION_ID and use the returned session_id) +curl -X POST \ + -H "Content-Type: application/json" \ + -d '{"question": "What is this about?"}' \ + http://localhost:8000/llamaindex/api/chat/SESSION_ID +``` + +### Debugging +- Backend logs: Check console output from `python main.py` +- Frontend logs: Open browser DevTools (F12) +- Docker logs: `docker logs ` + +## Performance Notes + +- **PDF Parsing**: Depends on PDF size and complexity +- **Indexing**: Moss index creation time varies by document size +- **Queries**: Results return within seconds, streamed via SSE +- **Session Storage**: In-memory (lost on server restart) + +## Limitations + +- Session data is not persisted (lost on restart) +- Max 5 files per upload +- Requires active Moss project credentials +- PDF OCR is disabled (extract only from text layers) + +## Troubleshooting + +### "No sample index available" +- Set `SEED_INDEX_NAME` in `.env` and restart + +### "Liteparse: command not found" +- Install Node.js 20+ and run: `npm install -g @llamaindex/liteparse` + +### "MOSS_PROJECT_ID/KEY not set" +- Configure `.env` with your Moss credentials + +### Frontend can't reach backend +- Ensure backend is running on `http://localhost:8000` +- Check CORS is enabled (it is by default) +- Verify backend health: `curl http://localhost:8000/llamaindex/health` + +## License + +Part of the Moss project. See root LICENSE for details. diff --git a/apps/moss-llamaindex/backend/.dockerignore b/apps/moss-llamaindex/backend/.dockerignore new file mode 100644 index 00000000..71f9d08e --- /dev/null +++ b/apps/moss-llamaindex/backend/.dockerignore @@ -0,0 +1,7 @@ +__pycache__/ +*.pyc +*.pyo +.venv/ +venv/ +.env +node_modules/ diff --git a/apps/moss-llamaindex/backend/Dockerfile b/apps/moss-llamaindex/backend/Dockerfile new file mode 100644 index 00000000..13dec3a8 --- /dev/null +++ b/apps/moss-llamaindex/backend/Dockerfile @@ -0,0 +1,24 @@ +FROM python:3.12-slim + +# Install Node.js 20 + @llamaindex/liteparse CLI (required by Python liteparse SDK) +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl ca-certificates \ + && curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \ + && apt-get install -y nodejs \ + && npm install -g @llamaindex/liteparse \ + && apt-get clean && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt && \ + python -c "import nltk; nltk.download('punkt_tab', quiet=True)" + +COPY main.py . + +EXPOSE 8000 + +HEALTHCHECK --interval=30s --timeout=5s --start-period=60s --retries=3 \ + CMD curl -f http://localhost:8000/llamaindex/health || exit 1 + +CMD ["sh", "-c", "exec uvicorn main:app --host 0.0.0.0 --port ${PORT:-8000}"] diff --git a/apps/moss-llamaindex/backend/main.py b/apps/moss-llamaindex/backend/main.py new file mode 100644 index 00000000..3df5a47c --- /dev/null +++ b/apps/moss-llamaindex/backend/main.py @@ -0,0 +1,289 @@ +""" +Liteparse + Moss demo backend +------------------------------ +PDF upload → liteparse parses pages → chunk → single moss index (create + load) +Retrieval → moss query, results streamed via SSE + +Endpoints: + POST /api/upload – parse → chunk → index (single index, fastest) + POST /api/chat/{session_id} – SSE: query results streamed as they arrive + GET /api/stream/{session_id} – stub (no hydration) +""" + +import asyncio +import os +import tempfile +import time +import uuid +import json +from contextlib import asynccontextmanager +from typing import AsyncGenerator + +from fastapi import FastAPI, APIRouter, File, UploadFile, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import StreamingResponse +from pydantic import BaseModel +from dotenv import load_dotenv +from moss import MossClient, DocumentInfo, QueryOptions +from liteparse import LiteParse +from nltk.tokenize import sent_tokenize + +load_dotenv() + +MOSS_PROJECT_ID = os.getenv("MOSS_PROJECT_ID", "") +MOSS_PROJECT_KEY = os.getenv("MOSS_PROJECT_KEY", "") + +_parser = LiteParse() +_seed = os.getenv("SEED_INDEX_NAME", "") +_seed_chunk_count = int(os.getenv("SEED_CHUNK_COUNT", "0")) + +sessions: dict[str, dict] = {} + +if _seed: + sessions["seed"] = { + "index_name": _seed, + "client": MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY), + "chunk_count": _seed_chunk_count, + } + +# { session_id: { "index_name": str, "client": MossClient, "chunk_count": int } } + + +@asynccontextmanager +async def lifespan(app: FastAPI): + if _seed and "seed" in sessions: + try: + print(f"[startup] Loading seed index '{_seed}' into memory…") + await sessions["seed"]["client"].load_index(_seed) + print(f"[startup] Seed index ready.") + except Exception as e: + print(f"[startup] Warning: could not load seed index '{_seed}': {e}") + print(f"[startup] Sample PDF will be unavailable until the index is created.") + sessions.pop("seed", None) + yield + + +app = FastAPI(title="Liteparse + Moss Demo", lifespan=lifespan) + + +@app.middleware("http") +async def add_hsts_header(request, call_next): + response = await call_next(request) + response.headers["Strict-Transport-Security"] = "max-age=30" + return response + + +app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"]) + +router = APIRouter(prefix="/llamaindex") + +# ── Helpers ──────────────────────────────────────────────────────────────────── + +def chunk_text(text: str, chunk_size_words: int = 400, overlap_sentences: int = 2) -> list[str]: + """ + Chunk text by accumulating sentences until reaching ~chunk_size_words. + Overlap by carrying the last overlap_sentences from the previous chunk. + + Args: + text: The text to chunk + chunk_size_words: Target word count per chunk (default 400) + overlap_sentences: Number of sentences to carry forward for overlap (default 2). + Must be >= 0. Clamped to max(1, chunk_size_words // 100) to prevent + excessive overlap that reduces chunking progress. + + Returns: + List of text chunks (each containing complete sentences only) + """ + if chunk_size_words < 1: + raise ValueError(f"chunk_size_words must be >= 1, got {chunk_size_words}") + if overlap_sentences < 0: + raise ValueError(f"overlap_sentences must be >= 0, got {overlap_sentences}") + + # Clamp overlap to sensible maximum (avoid excessive overlap reducing progress) + overlap_sentences = min(overlap_sentences, max(1, chunk_size_words // 100)) + + sentences = sent_tokenize(text) + # Strip and filter out empty sentences + sentences = [s.strip() for s in sentences if s.strip()] + + if not sentences: + return [] + + chunks = [] + i = 0 + + while i < len(sentences): + chunk_sentences = [] + word_count = 0 + start_idx = i + + # Accumulate sentences until we exceed chunk_size_words + while i < len(sentences): + sentence = sentences[i] + sentence_word_count = len(sentence.split()) + + # Always add the first sentence in a chunk + if not chunk_sentences: + chunk_sentences.append(sentence) + word_count += sentence_word_count + i += 1 + # If adding this sentence would exceed the limit, stop + elif word_count + sentence_word_count > chunk_size_words: + break + # Otherwise, add it + else: + chunk_sentences.append(sentence) + word_count += sentence_word_count + i += 1 + + # Join sentences into a chunk (all sentences are guaranteed complete) + chunk_text_str = " ".join(chunk_sentences) + chunks.append(chunk_text_str) + + # For the next chunk, back up to create overlap + if i < len(sentences): + i = max(i - overlap_sentences, start_idx + 1) + + return chunks + + +def parse_pdf_with_liteparse(pdf_path: str) -> list[dict]: + result = _parser.parse(pdf_path, ocr_enabled=False) + return [ + {"page": page.pageNum, "text": page.text.strip()} + for page in result.pages + if page.text.strip() + ] + + +def _create_and_load_sync(name: str, docs: list[DocumentInfo]) -> MossClient: + """Runs in a thread — own event loop avoids blocking FastAPI's loop.""" + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + client = MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY) + loop.run_until_complete(client.create_index(name, docs)) + loop.run_until_complete(client.load_index(name)) + return client + finally: + loop.close() + + +# ── Routes ───────────────────────────────────────────────────────────────────── + +@router.get("/health") +async def health(): + return {"status": "ok"} + + +@router.get("/api/sample") +async def load_sample(): + """Returns the pre-indexed sample PDF session instantly — no upload needed.""" + seed_session = sessions.get("seed") + if seed_session is None: + raise HTTPException(404, "No sample index available — set SEED_INDEX_NAME and restart.") + return { + "session_id": "seed", + "index_name": seed_session["index_name"], + "chunk_count": seed_session["chunk_count"], + "files": ["1706.03762v7.pdf"], + } + + +@router.post("/api/upload") +async def upload_files(files: list[UploadFile] = File(...)): + if not files: + raise HTTPException(400, "No files provided") + + start = time.time() + session_id = uuid.uuid4().hex[:8] + index_name = f"pdf-{session_id}" + docs: list[DocumentInfo] = [] + file_names: list[str] = [] + + for file in files[:5]: + pdf_bytes = await file.read() + file_names.append(file.filename or "unknown.pdf") + + with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as tmp: + tmp.write(pdf_bytes) + tmp_path = tmp.name + try: + pages = await asyncio.to_thread(parse_pdf_with_liteparse, tmp_path) + finally: + os.unlink(tmp_path) + + for p in pages: + for idx, chunk in enumerate(chunk_text(p["text"])): + docs.append(DocumentInfo( + id=f"{file.filename}-p{p['page']}-c{idx}", + text=chunk, + metadata={"source": file.filename or "unknown", "page": str(p["page"])}, + )) + + if not docs: + raise HTTPException(422, "No text extracted from the PDFs.") + + print(f"[upload] {session_id} — {len(docs)} chunks, building index…") + + client = await asyncio.to_thread(_create_and_load_sync, index_name, docs) + + sessions[session_id] = {"index_name": index_name, "client": client, "chunk_count": len(docs)} + + elapsed = round(time.time() - start) + print(f"[upload] done in {elapsed}s") + + return {"session_id": session_id, "chunk_count": len(docs), "elapsed_seconds": elapsed, "files": file_names} + + +class ChatRequest(BaseModel): + question: str + + +@router.post("/api/chat/{session_id}") +async def chat(session_id: str, body: ChatRequest): + session = sessions.get(session_id) + if not session: + raise HTTPException(404, "Session not found") + + async def generate() -> AsyncGenerator[str, None]: + result = await session["client"].query(session["index_name"], body.question, QueryOptions(top_k=5, alpha=0.6)) + event = { + "type": "shard", + "shard": 1, + "total": 1, + "time_ms": result.time_taken_ms, + "index": result.index_name, + "docs": [ + { + "id": d.id, + "text": d.text, + "score": round(d.score, 3), + "source": d.metadata.get("source", "?") if d.metadata else "?", + "page": d.metadata.get("page", "?") if d.metadata else "?", + } + for d in result.docs + ], + } + yield f"data: {json.dumps(event)}\n\n" + yield f"data: {json.dumps({'type': 'done'})}\n\n" + + return StreamingResponse( + generate(), + media_type="text/event-stream", + headers={"Cache-Control": "no-cache", "Connection": "keep-alive"}, + ) + + +@router.get("/api/stream/{session_id}") +async def stream_noop(session_id: str): + async def _() -> AsyncGenerator[str, None]: + yield f"data: {json.dumps({'type': 'complete', 'stats': {'enriched_chunks': 0}})}\n\n" + return StreamingResponse(_(), media_type="text/event-stream", headers={"Cache-Control": "no-cache"}) + + +app.include_router(router) + +if __name__ == "__main__": + import uvicorn + uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/apps/moss-llamaindex/backend/package.json b/apps/moss-llamaindex/backend/package.json new file mode 100644 index 00000000..747204a6 --- /dev/null +++ b/apps/moss-llamaindex/backend/package.json @@ -0,0 +1,9 @@ +{ + "name": "moss-backend-liteparse", + "version": "1.0.0", + "private": true, + "description": "liteparse CLI for local development (Docker installs it globally)", + "dependencies": { + "@llamaindex/liteparse": "^1.1.0" + } +} diff --git a/apps/moss-llamaindex/backend/requirements.txt b/apps/moss-llamaindex/backend/requirements.txt new file mode 100644 index 00000000..5f62aee8 --- /dev/null +++ b/apps/moss-llamaindex/backend/requirements.txt @@ -0,0 +1,7 @@ +fastapi +uvicorn +moss +python-dotenv +python-multipart +liteparse +nltk \ No newline at end of file diff --git a/apps/moss-llamaindex/backend/seed_index.py b/apps/moss-llamaindex/backend/seed_index.py new file mode 100644 index 00000000..93caefef --- /dev/null +++ b/apps/moss-llamaindex/backend/seed_index.py @@ -0,0 +1,148 @@ +""" +seed_index.py — Pre-index a PDF into Moss so the index can be reused in main.py. + +Usage: + python seed_index.py /path/to/file.pdf [index-name] + +Example: + python seed_index.py ~/Downloads/1706.03762v7.pdf transformer-paper + +The printed index name can be injected into main.py's session cache via the +SEED_INDEX env var (see bottom of this file). +""" + +import asyncio +import os +import sys +from pathlib import Path + +from dotenv import load_dotenv +from moss import MossClient, DocumentInfo +from liteparse import LiteParse +from nltk.tokenize import sent_tokenize + +load_dotenv() + +MOSS_PROJECT_ID = os.getenv("MOSS_PROJECT_ID", "") +MOSS_PROJECT_KEY = os.getenv("MOSS_PROJECT_KEY", "") + +_parser = LiteParse() + + +def chunk_text(text: str, chunk_size_words: int = 400, overlap_sentences: int = 2) -> list[str]: + """ + Chunk text by accumulating sentences until reaching ~chunk_size_words. + Overlap by carrying the last overlap_sentences from the previous chunk. + + Args: + text: The text to chunk + chunk_size_words: Target word count per chunk (default 400) + overlap_sentences: Number of sentences to carry forward for overlap (default 2). + Must be >= 0. Clamped to max(1, chunk_size_words // 100) to prevent + excessive overlap that reduces chunking progress. + + Returns: + List of text chunks (each containing complete sentences only) + """ + if chunk_size_words < 1: + raise ValueError(f"chunk_size_words must be >= 1, got {chunk_size_words}") + if overlap_sentences < 0: + raise ValueError(f"overlap_sentences must be >= 0, got {overlap_sentences}") + + # Clamp overlap to sensible maximum (avoid excessive overlap reducing progress) + overlap_sentences = min(overlap_sentences, max(1, chunk_size_words // 100)) + + sentences = sent_tokenize(text) + # Strip and filter out empty sentences + sentences = [s.strip() for s in sentences if s.strip()] + + if not sentences: + return [] + + chunks = [] + i = 0 + + while i < len(sentences): + chunk_sentences = [] + word_count = 0 + start_idx = i + + # Accumulate sentences until we exceed chunk_size_words + while i < len(sentences): + sentence = sentences[i] + sentence_word_count = len(sentence.split()) + + # Always add the first sentence in a chunk + if not chunk_sentences: + chunk_sentences.append(sentence) + word_count += sentence_word_count + i += 1 + # If adding this sentence would exceed the limit, stop + elif word_count + sentence_word_count > chunk_size_words: + break + # Otherwise, add it + else: + chunk_sentences.append(sentence) + word_count += sentence_word_count + i += 1 + + # Join sentences into a chunk (all sentences are guaranteed complete) + chunk_text_str = " ".join(chunk_sentences) + chunks.append(chunk_text_str) + + # For the next chunk, back up to create overlap + if i < len(sentences): + i = max(i - overlap_sentences, start_idx + 1) + + return chunks + + +async def seed(pdf_path: str, index_name: str) -> str: + filename = Path(pdf_path).name + + print(f"Parsing {filename} ...") + result = _parser.parse(pdf_path, ocr_enabled=False) + pages = [ + {"page": page.pageNum, "text": page.text.strip()} + for page in result.pages + if page.text.strip() + ] + print(f" Pages: {len(pages)}") + + docs: list[DocumentInfo] = [] + for p in pages: + for idx, chunk in enumerate(chunk_text(p["text"])): + docs.append(DocumentInfo( + id=f"{filename}-p{p['page']}-c{idx}", + text=chunk, + metadata={"source": filename, "page": str(p["page"])}, + )) + print(f" Chunks: {len(docs)}") + + print(f"Creating Moss index '{index_name}' ...") + client = MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY) + await client.create_index(index_name, docs) + await client.load_index(index_name) + + print(f"\nDone!") + print(f" Index name : {index_name}") + print(f" Chunk count: {len(docs)}") + print(f"\nTo use this as a cached session in main.py, set:") + print(f" SEED_INDEX_NAME={index_name}") + return index_name + + +if __name__ == "__main__": + if len(sys.argv) < 2: + print("Usage: python seed_index.py /path/to/file.pdf [index-name]") + sys.exit(1) + + pdf_path = sys.argv[1] + if not Path(pdf_path).exists(): + print(f"File not found: {pdf_path}") + sys.exit(1) + + default_name = Path(pdf_path).stem.lower().replace(".", "-").replace("_", "-")[:32] + index_name = sys.argv[2] if len(sys.argv) > 2 else f"seed-{default_name}" + + asyncio.run(seed(pdf_path, index_name)) diff --git a/apps/moss-llamaindex/frontend/app/globals.css b/apps/moss-llamaindex/frontend/app/globals.css new file mode 100644 index 00000000..1a1203b6 --- /dev/null +++ b/apps/moss-llamaindex/frontend/app/globals.css @@ -0,0 +1,138 @@ +@import 'tailwindcss'; +@plugin "@tailwindcss/typography"; + +html { + scroll-behavior: smooth; +} + +::selection { + background-color: rgba(0, 0, 0, 0.85); + color: #ffffff; +} + +@theme inline { + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + + /* Moss Precision Minimal tokens */ + --color-moss-bg: #FAFAF8; + --color-moss-surface: #FFFFFF; + --color-moss-title: #0a0a0a; + --color-moss-text: #555555; + --color-moss-muted: #888888; + --color-moss-accent: #2d5016; + --color-moss-border: #e5e5e0; + --color-moss-border-light: #d0d0c8; + --color-moss-cta: #1a1a1a; + --color-moss-code-bg: #0f0f0f; + --color-moss-dark: #0a0a0a; + + --font-sans: var(--font-geist-sans), system-ui, sans-serif; + --font-serif: var(--font-playfair), Georgia, serif; + --font-mono: var(--font-geist-mono), monospace; +} + +:root { + --radius: 0.625rem; + --background: oklch(1 0 0); + --foreground: oklch(0.145 0 0); + --card: oklch(1 0 0); + --card-foreground: oklch(0.145 0 0); + --popover: oklch(1 0 0); + --popover-foreground: oklch(0.145 0 0); + --primary: oklch(0.205 0 0); + --primary-foreground: oklch(0.985 0 0); + --secondary: oklch(0.97 0 0); + --secondary-foreground: oklch(0.205 0 0); + --muted: oklch(0.97 0 0); + --muted-foreground: oklch(0.556 0 0); + --accent: oklch(0.97 0 0); + --accent-foreground: oklch(0.205 0 0); + --destructive: oklch(0.577 0.245 27.325); + --border: oklch(0.922 0 0); + --input: oklch(0.922 0 0); + --ring: oklch(0.708 0 0); +} + +@layer base { + * { + @apply border-border outline-ring/50; + } + body { + @apply bg-background text-foreground font-sans font-light; + } +} + +/* Score badge colors */ +.score-high { + color: #16a34a; + background: rgba(22, 163, 74, 0.1); +} +.score-medium { + color: #ca8a04; + background: rgba(202, 138, 4, 0.1); +} +.score-low { + color: #9ca3af; + background: rgba(156, 163, 175, 0.1); +} + +/* Drag-over effect */ +.drag-over { + border-color: var(--color-moss-cta) !important; + background: rgba(26, 26, 26, 0.03) !important; +} + +/* Scrollbar styling */ +.scrollbar-thin { + scrollbar-width: thin; + scrollbar-color: rgba(0, 0, 0, 0.15) transparent; +} + +/* Pulse animation for indexing */ +@keyframes pulse-slow { + 0%, 100% { opacity: 0.4; } + 50% { opacity: 1; } +} +.animate-pulse-slow { + animation: pulse-slow 2s ease-in-out infinite; +} + +/* Shine sweep for sample PDF button */ +@keyframes shine { + 0% { transform: translateX(-150%); } + 40% { transform: translateX(250%); } + 40.01%, 100% { transform: translateX(-150%); } +} +.animate-shine { + animation: shine 4s cubic-bezier(0.4, 0, 0.2, 1) infinite; +} + +/* Rotating border snake for sample PDF tile */ +@keyframes border-snake-dash { + from { stroke-dashoffset: 100; } + to { stroke-dashoffset: 0; } +} +.animate-border-snake-svg { + animation: border-snake-dash 3s linear infinite; +} diff --git a/apps/moss-llamaindex/frontend/app/layout.tsx b/apps/moss-llamaindex/frontend/app/layout.tsx new file mode 100644 index 00000000..7bf233a9 --- /dev/null +++ b/apps/moss-llamaindex/frontend/app/layout.tsx @@ -0,0 +1,36 @@ +import type { Metadata } from 'next'; +import { Playfair_Display } from 'next/font/google'; +import { GeistSans } from 'geist/font/sans'; +import { GeistMono } from 'geist/font/mono'; +import './globals.css'; +import { Suspense } from 'react'; +import Navbar from '@/components/common/navbar'; +import Footer from '@/components/common/footer'; +import { Toaster } from 'sonner'; + +const playfair = Playfair_Display({ subsets: ['latin'], variable: '--font-playfair' }); + +export const metadata: Metadata = { + title: 'Moss + LlamaIndex | Document Intelligence Demo', + description: + 'Upload PDFs and ask questions using LlamaIndex for parsing and Moss for sub-10ms semantic retrieval. RAG pipeline demo with instant context retrieval.', +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + + {children} +