Claude Code API for fastllm
Project description
fastllm-claude-code
This file will become your README and also the index of your documentation.
Developer Guide
If you are new to using nbdev here are some useful pointers to get you
started.
Install fastllm_claude_code in Development mode
# make sure fastllm_claude_code package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to fastllm_claude_code
$ nbdev_prepare
Usage
Installation
Install latest from the GitHub repository:
$ pip install git+https://github.com/AnswerDotAI/fastllm-claude-code.git
or from conda
$ conda install -c AnswerDotAI fastllm_claude_code
or from pypi
$ pip install fastllm_claude_code
Documentation
Documentation can be found hosted on this GitHub repository’s pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.
How to use
Fill me in please! Don’t forget code examples:
1+1
2
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fastllm_claude_code-0.0.4.tar.gz.
File metadata
- Download URL: fastllm_claude_code-0.0.4.tar.gz
- Upload date:
- Size: 9.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a1d8fb8d8fb6b30d55048a246e7459294cdea5f00164ddcb4a889bb3f4dd50e
|
|
| MD5 |
cd51a73068824dc6ee566a82427edc10
|
|
| BLAKE2b-256 |
b954b14f05772ce65ffc9e0f534299aab6dc2d2eca53d6e358b2cdea00d835b8
|
File details
Details for the file fastllm_claude_code-0.0.4-py3-none-any.whl.
File metadata
- Download URL: fastllm_claude_code-0.0.4-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d7e2ed7f429d5f00af2392e1bfc26c945ff73d92a3c43d1dc99de0849349f4b
|
|
| MD5 |
de0399e47d4957eba79d88e11dfe8689
|
|
| BLAKE2b-256 |
0dff8fad9c7ee100c7b3a9ce8f6871babaadcba759f4b791362fe8bb30434279
|
