Installation
In shortInstall 10xGraph and the API server with pip on Python 3.12 or newer, add provider extras and a checkpointer, verify the CLI, and install the TypeScript client.
- 3 min read
- 11 sections
- Updated
- v0.9.2
- Markdown
10xGraph needs Python 3.12 or newer. Install the framework and the API server with pip install 10xgraph 10xgraph-api, add an extra for your model provider, then check the install with 10xgraph version. The TypeScript client is a separate npm package.
What are the requirements?
| Requirement | Version |
|---|---|
| Python | 3.12 or newer |
| Node.js (TypeScript client only) | 18 or newer |
| An LLM provider key | OpenAI, Google Gemini or Anthropic |
| PostgreSQL and Redis (production only) | Needed for PgCheckpointer |
How do I install the packages?
Use a virtual environment so the CLI and the libraries come from the same interpreter.
With pip:
python3.12 -m venv .venv
source .venv/bin/activate
pip install 10xgraph 10xgraph-apiWith uv:
uv venv --python 3.12
source .venv/bin/activate
uv pip install 10xgraph 10xgraph-api10xgraph is the core framework. 10xgraph-api adds the API server and the command-line tool.
Which extras should I add?
The base install has no model provider SDK. Add the extras you use, either in the same command or later.
pip install "10xgraph[openai]" 10xgraph-api| Extra | Adds | Use it for |
|---|---|---|
openai |
OpenAI SDK | OpenAI models and OpenAI-compatible endpoints |
google-genai |
Google GenAI SDK | Gemini models |
anthropic |
Anthropic SDK | Claude models through the direct API |
pg_checkpoint |
asyncpg, redis | PgCheckpointer: Redis hot cache and PostgreSQL durable history |
mcp |
fastmcp, mcp | Tools served by MCP servers |
Combine extras with commas: pip install "10xgraph[openai,pg_checkpoint,mcp]". Other extras exist for Anthropic on Vertex AI and Bedrock (anthropic-vertex, anthropic-bedrock), SQLite checkpointing (sqlite_checkpoint), Qdrant and Mem0 memory stores, event publishers (kafka, rabbitmq, redis) and observability (otel, logfire, langsmith). The all extra installs most of them at once and is meant for development and CI.
Note: 10xGraph is pre-1.0. Pin the versions you deploy and read the changelog before upgrading.
How do I verify the install?
10xgraph version
python -c "import tenxgraph; print(tenxgraph.__file__)"The first command prints the CLI version. The second confirms the library imports from your virtual environment. If the command is not found, activate the environment again and see the installation troubleshooting page.
How do I set provider API keys?
Providers read their keys from environment variables. Export them in your shell, or put them in a .env file that your 10xgraph.json points at with "env": ".env". Never commit that file.
| Provider | Variable |
|---|---|
| OpenAI | OPENAI_API_KEY |
| Google Gemini | GEMINI_API_KEY or GOOGLE_API_KEY |
| Anthropic | ANTHROPIC_API_KEY |
export OPENAI_API_KEY="your-key"How do I install the TypeScript client?
npm install 10xgraph-clientThe client talks to a running 10xgraph api server. See Quickstart.
Scaffold a production project
10xgraph init --yes --template production --auth jwt --rate-limit redisThe production template creates your graph, a prompt-injection validator, evals, tests and an 10xgraph.json config with JWT auth and owner-only threads turned on. Use --auth custom instead to also get an auth/ module with a BaseAuth subclass to fill in. For a minimal start, skip this step and follow the Quickstart.
Serve it
10xgraph apiThe server listens on http://localhost:8000 and exposes:
| Method | Path | Purpose |
|---|---|---|
| POST | /v1/graph/invoke |
Run the graph and return the result |
| POST | /v1/graph/stream |
Stream results over SSE |
| WS | /v1/graph/ws |
Stream over WebSocket |
| WS | /v1/graph/live |
Realtime audio |
Something went wrong?
- Installation troubleshooting: pip failures, command not found, imports failing, ignored environment variables.
- API server troubleshooting: startup and runtime issues.
- Error codes: what each structured error means.
Next step
Build your first agent in the Quickstart.
Frequently asked questions
- Which Python version does 10xGraph need?
- Python 3.12 or newer. Both the core package and the API package declare requires-python >=3.12, so pip refuses to install them on an older interpreter.
- Do I need to install a provider extra?
- Yes, for the provider you call. The base install does not include the OpenAI, Google GenAI or Anthropic SDKs. Install the matching extra, for example 10xgraph[openai], and set that provider's API key as an environment variable.
- Which extra do I need to run in production?
- Add pg_checkpoint, which brings in asyncpg and redis for PgCheckpointer. A durable checkpointer is also what enables replay-safe tools across a process restart.
- Is the Python import name different from the package name?
- No change yet. You install 10xgraph but keep importing from tenxgraph, for example from tenxgraph.prebuilt.agent import ReactAgent.