[](https://app.fossa.com/projects/git%2Bgithub.com%2FWPSemantix%2Flangchain-timbr?ref=badge_shield&issueType=security)
[](https://app.fossa.com/projects/git%2Bgithub.com%2FWPSemantix%2Flangchain-timbr?ref=badge_shield&issueType=license)
[](https://www.python.org/downloads/release/python-3921/)
[](https://www.python.org/downloads/release/python-31017/)
[](https://www.python.org/downloads/release/python-31112/)
[](https://www.python.org/downloads/release/python-3129/)
# Timbr Langchain LLM SDK
Timbr langchain LLM SDK is a Python SDK that extends LangChain and LangGraph with custom agents, chains, and nodes for seamless integration with the Timbr semantic layer. It enables converting natural language prompts into optimized semantic-SQL queries and executing them directly against your data.
## Dependencies
- Access to a timbr-server
- Python from 3.9.13 or newer
## Installation
### Using pip
```bash
python -m pip install langchain-timbr
```
### Using pip from github
```bash
pip install git+https://github.com/WPSemantix/langchain-timbr
```
## Documentation
For comprehensive documentation and usage examples, please visit:
- [Timbr LangChain Documentation](https://docs.timbr.ai/doc/docs/integration/langchain-sdk)
- [Timbr LangGraph Documentation](https://docs.timbr.ai/doc/docs/integration/langgraph-sdk)
## Configuration
The SDK requires several environment variables to be configured. See [`src/langchain_timbr/config.py`](src/langchain_timbr/config.py) for all available configuration options.
Raw data
{
"_id": null,
"home_page": null,
"name": "langchain-timbr",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.9",
"maintainer_email": null,
"keywords": "Agents, Knowledge Graph, LLM, LangChain, LangGraph, SQL, Semantic Layer, Timbr",
"author": null,
"author_email": "Bar Cohen <barco@timbr.ai>",
"download_url": "https://files.pythonhosted.org/packages/7c/9e/43a424bbea0cf00370288693ba5d9a7d27b4648872c33b59c4ef4e975e0f/langchain_timbr-1.5.1.tar.gz",
"platform": null,
"description": "\n\n[](https://app.fossa.com/projects/git%2Bgithub.com%2FWPSemantix%2Flangchain-timbr?ref=badge_shield&issueType=security)\n[](https://app.fossa.com/projects/git%2Bgithub.com%2FWPSemantix%2Flangchain-timbr?ref=badge_shield&issueType=license)\n\n[](https://www.python.org/downloads/release/python-3921/)\n[](https://www.python.org/downloads/release/python-31017/)\n[](https://www.python.org/downloads/release/python-31112/)\n[](https://www.python.org/downloads/release/python-3129/)\n\n# Timbr Langchain LLM SDK\n\nTimbr langchain LLM SDK is a Python SDK that extends LangChain and LangGraph with custom agents, chains, and nodes for seamless integration with the Timbr semantic layer. It enables converting natural language prompts into optimized semantic-SQL queries and executing them directly against your data.\n\n## Dependencies\n- Access to a timbr-server\n- Python from 3.9.13 or newer\n\n## Installation\n\n### Using pip\n```bash\npython -m pip install langchain-timbr\n```\n\n### Using pip from github\n```bash\npip install git+https://github.com/WPSemantix/langchain-timbr\n```\n\n## Documentation\n\nFor comprehensive documentation and usage examples, please visit:\n\n- [Timbr LangChain Documentation](https://docs.timbr.ai/doc/docs/integration/langchain-sdk)\n- [Timbr LangGraph Documentation](https://docs.timbr.ai/doc/docs/integration/langgraph-sdk)\n\n## Configuration\n\nThe SDK requires several environment variables to be configured. See [`src/langchain_timbr/config.py`](src/langchain_timbr/config.py) for all available configuration options.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "LangChain & LangGraph extensions that parse LLM prompts into Timbr semantic SQL and execute them.",
"version": "1.5.1",
"project_urls": {
"Documentation": "https://docs.timbr.ai/doc/docs/integration/langchain-sdk/",
"Homepage": "https://github.com/WPSemantix/langchain-timbr",
"Issues": "https://github.com/WPSemantix/langchain-timbr/issues",
"Source": "https://github.com/WPSemantix/langchain-timbr"
},
"split_keywords": [
"agents",
" knowledge graph",
" llm",
" langchain",
" langgraph",
" sql",
" semantic layer",
" timbr"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "d1d424d630d501d7c4a034fb5694047bfb27b2654812661cba512bd9e2659a27",
"md5": "b4991b7ef3f9027e57def6f7a3db3c38",
"sha256": "9da6d783ca487c7d0ac7438fced071e187246868094949274675fb685cd69568"
},
"downloads": -1,
"filename": "langchain_timbr-1.5.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "b4991b7ef3f9027e57def6f7a3db3c38",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.13,>=3.9",
"size": 49618,
"upload_time": "2025-08-25T06:22:29",
"upload_time_iso_8601": "2025-08-25T06:22:29.690566Z",
"url": "https://files.pythonhosted.org/packages/d1/d4/24d630d501d7c4a034fb5694047bfb27b2654812661cba512bd9e2659a27/langchain_timbr-1.5.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "7c9e43a424bbea0cf00370288693ba5d9a7d27b4648872c33b59c4ef4e975e0f",
"md5": "7b6b714372cebf3bb80fe80c3ed93f1a",
"sha256": "f636a613893876da0042bc6caddd8f2ee8237d9fc7208734279a7e89bcc9f049"
},
"downloads": -1,
"filename": "langchain_timbr-1.5.1.tar.gz",
"has_sig": false,
"md5_digest": "7b6b714372cebf3bb80fe80c3ed93f1a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.13,>=3.9",
"size": 44810,
"upload_time": "2025-08-25T06:22:31",
"upload_time_iso_8601": "2025-08-25T06:22:31.066723Z",
"url": "https://files.pythonhosted.org/packages/7c/9e/43a424bbea0cf00370288693ba5d9a7d27b4648872c33b59c4ef4e975e0f/langchain_timbr-1.5.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-25 06:22:31",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "WPSemantix",
"github_project": "langchain-timbr",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "anthropic",
"specs": [
[
"==",
"0.42.0"
]
]
},
{
"name": "cryptography",
"specs": [
[
">=",
"44.0.3"
]
]
},
{
"name": "google-generativeai",
"specs": [
[
"==",
"0.8.4"
]
]
},
{
"name": "langchain",
"specs": [
[
">=",
"0.3.25"
]
]
},
{
"name": "langchain-anthropic",
"specs": [
[
">=",
"0.3.1"
]
]
},
{
"name": "langchain_community",
"specs": [
[
">=",
"0.3.20"
]
]
},
{
"name": "langchain-core",
"specs": [
[
">=",
"0.3.58"
]
]
},
{
"name": "langchain-google-genai",
"specs": [
[
">=",
"2.0.9"
]
]
},
{
"name": "langchain-openai",
"specs": [
[
">=",
"0.3.16"
]
]
},
{
"name": "langchain-tests",
"specs": [
[
">=",
"0.3.20"
]
]
},
{
"name": "langgraph",
"specs": [
[
">=",
"0.3.20"
]
]
},
{
"name": "openai",
"specs": [
[
"==",
"1.77.0"
]
]
},
{
"name": "pyarrow",
"specs": [
[
"<",
"19.0.0"
]
]
},
{
"name": "pydantic",
"specs": [
[
"==",
"2.10.4"
]
]
},
{
"name": "pytest",
"specs": [
[
"==",
"8.3.4"
]
]
},
{
"name": "pytimbr-api",
"specs": [
[
">=",
"2.0.0"
]
]
},
{
"name": "snowflake",
"specs": [
[
">=",
"0.8.0"
]
]
},
{
"name": "snowflake-snowpark-python",
"specs": [
[
">=",
"1.6.0"
]
]
},
{
"name": "tiktoken",
"specs": [
[
"==",
"0.8.0"
]
]
},
{
"name": "transformers",
"specs": [
[
">=",
"4.51.3"
]
]
},
{
"name": "uvicorn",
"specs": [
[
"==",
"0.34.0"
]
]
}
],
"lcname": "langchain-timbr"
}
JSON
