🦜🔗 ✨ LangChain GitHub Copilot
This package contains the LangChain integration with GitHub Copilot.
In [3]: from langchain_github_copilot import ChatGitHubCopilot
...:
...: llm = ChatGitHubCopilot()
...: llm.invoke("Sing a ballad of GitHub and LangChain.")
...:
Out[3]: AIMessage(content="(Verse 1)\nIn the realm of code and dreams untold,\nWhere developers brave and bold,\nThere lies a haven, vast and wide,\nGitHub, where our projects reside.\n\n(Chorus)\nOh, GitHub and LangChain, together they stand,\nGuiding the coder's hand,\nIn the world of AI, they light the way,\nBuilding tomorrow, code by code each day.\n\n(Verse 2)\nLangChain, with its wisdom deep,\nIn the language of machines, it speaks,\nFrom data's whispers to insights grand,\nIt crafts the future, hand in hand.\n\n(Chorus)\nOh, GitHub and LangChain, together they stand,\nGuiding the coder's hand,\nIn the world of AI, they light the way,\nBuilding tomorrow, code by code each day.\n\n(Bridge)\nRepositories like stars in the night,\nForks and pulls, a developer's delight,\nCollaborations that span the globe,\nIn this digital world, our skills we hone.\n\n(Verse 3)\nWith every commit and every merge,\nWe ride the innovation surge,\nLangChain's power, GitHub's grace,\nTogether they conquer time and space.\n\n(Chorus)\nOh, GitHub and LangChain, together they stand,\nGuiding the coder's hand,\nIn the world of AI, they light the way,\nBuilding tomorrow, code by code each day.\n\n(Outro)\nSo here's to the coders, near and far,\nOn GitHub's platform, like a guiding star,\nWith LangChain's brilliance, we pave the lane,\nFor a future bright, in code's domain.", additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 324, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 0, 'rejected_prediction_tokens': 0}, 'prompt_tokens': 18, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}, 'total_tokens': 342}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_ded0d14823', 'finish_reason': 'stop'}, id='run-e9f5530d-8918-451d-8e94-baaeab92552b-0', usage_metadata={'input_tokens': 18, 'output_tokens': 324, 'total_tokens': 342, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 0}})
Installation
pip install -U langchain-github-copilot
GitHub Token
You should configure credentials by setting the GITHUB_TOKEN environment variables.
How to get a GitHub Token?
Run the setup.py python script to create a .env file with the GitHub Token.
IMPORTANT
The GitHub Token generated expires after 25 minutes. We are working on a solution to refresh the token automatically. If needed, rerun the setup.py script to generate a new token.
python authenticate.py
Ressources used to understand how to generate a GitHub Token:
Use with Chat Models
from langchain_github_copilot import ChatGitHubCopilot
llm = ChatGitHubCopilot()
llm.invoke("Sing a ballad of GitHub and LangChain.")
Release files for langchain-github-copilot 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| langchain_github_copilot-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / langchain_github_copilot-0.4.0-py3-none-any.whl
| Download URL | langchain_github_copilot-0.4.0-py3-none-any.whl |
|---|---|
| Size | 25.5 kB |
| Tags | Python 3 |
|
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