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  1. Metadata-Version: 2.4
  2. Name: langchain
  3. Version: 1.1.3
  4. Summary: Building applications with LLMs through composability
  5. Project-URL: Homepage, https://docs.langchain.com/
  6. Project-URL: Documentation, https://reference.langchain.com/python/langchain/langchain/
  7. Project-URL: Source, https://github.com/langchain-ai/langchain/tree/master/libs/langchain
  8. Project-URL: Changelog, https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain%3D%3D1%22
  9. Project-URL: Twitter, https://x.com/LangChainAI
  10. Project-URL: Slack, https://www.langchain.com/join-community
  11. Project-URL: Reddit, https://www.reddit.com/r/LangChain/
  12. License: MIT
  13. License-File: LICENSE
  14. Requires-Python: <4.0.0,>=3.10.0
  15. Requires-Dist: langchain-core<2.0.0,>=1.1.2
  16. Requires-Dist: langgraph<1.1.0,>=1.0.2
  17. Requires-Dist: pydantic<3.0.0,>=2.7.4
  18. Provides-Extra: anthropic
  19. Requires-Dist: langchain-anthropic; extra == 'anthropic'
  20. Provides-Extra: aws
  21. Requires-Dist: langchain-aws; extra == 'aws'
  22. Provides-Extra: azure-ai
  23. Requires-Dist: langchain-azure-ai; extra == 'azure-ai'
  24. Provides-Extra: community
  25. Requires-Dist: langchain-community; extra == 'community'
  26. Provides-Extra: deepseek
  27. Requires-Dist: langchain-deepseek; extra == 'deepseek'
  28. Provides-Extra: fireworks
  29. Requires-Dist: langchain-fireworks; extra == 'fireworks'
  30. Provides-Extra: google-genai
  31. Requires-Dist: langchain-google-genai; extra == 'google-genai'
  32. Provides-Extra: google-vertexai
  33. Requires-Dist: langchain-google-vertexai; extra == 'google-vertexai'
  34. Provides-Extra: groq
  35. Requires-Dist: langchain-groq; extra == 'groq'
  36. Provides-Extra: huggingface
  37. Requires-Dist: langchain-huggingface; extra == 'huggingface'
  38. Provides-Extra: mistralai
  39. Requires-Dist: langchain-mistralai; extra == 'mistralai'
  40. Provides-Extra: ollama
  41. Requires-Dist: langchain-ollama; extra == 'ollama'
  42. Provides-Extra: openai
  43. Requires-Dist: langchain-openai; extra == 'openai'
  44. Provides-Extra: perplexity
  45. Requires-Dist: langchain-perplexity; extra == 'perplexity'
  46. Provides-Extra: together
  47. Requires-Dist: langchain-together; extra == 'together'
  48. Provides-Extra: xai
  49. Requires-Dist: langchain-xai; extra == 'xai'
  50. Description-Content-Type: text/markdown
  51. # 🦜️🔗 LangChain
  52. [![PyPI - Version](https://img.shields.io/pypi/v/langchain?label=%20)](https://pypi.org/project/langchain/#history)
  53. [![PyPI - License](https://img.shields.io/pypi/l/langchain)](https://opensource.org/licenses/MIT)
  54. [![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain)](https://pypistats.org/packages/langchain)
  55. [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai)
  56. Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).
  57. To help you ship LangChain apps to production faster, check out [LangSmith](https://smith.langchain.com).
  58. [LangSmith](https://smith.langchain.com) is a unified developer platform for building, testing, and monitoring LLM applications.
  59. ## Quick Install
  60. ```bash
  61. pip install langchain
  62. ```
  63. ## 🤔 What is this?
  64. LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and [more](https://docs.langchain.com/oss/python/integrations/providers/overview). LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.
  65. We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use [LangGraph](https://docs.langchain.com/oss/python/langgraph/overview), our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.
  66. LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
  67. ## 📖 Documentation
  68. For full documentation, see the [API reference](https://reference.langchain.com/python/langchain/langchain/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).
  69. ## 📕 Releases & Versioning
  70. See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
  71. ## 💁 Contributing
  72. As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
  73. For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).