Add documentation for python code execution capability

This commit is contained in:
sabaimran 2024-11-01 12:14:33 -07:00
parent ffa7f95559
commit 23a49b6b95
2 changed files with 33 additions and 0 deletions

View file

@ -43,3 +43,6 @@ Slash commands allows you to change what Khoj uses to respond to your query
- **/image**: Generate an image in response to your query. - **/image**: Generate an image in response to your query.
- **/help**: Use /help to get all available commands and general information about Khoj - **/help**: Use /help to get all available commands and general information about Khoj
- **/summarize**: Can be used to summarize 1 selected file filter for that conversation. Refer to [File Summarization](summarization) for details. - **/summarize**: Can be used to summarize 1 selected file filter for that conversation. Refer to [File Summarization](summarization) for details.
- **/diagram**: Generate a diagram in response to your query. This is built on [Excalidraw](https://excalidraw.com/).
- **/code**: Generate and run very simple Python code snippets. Refer to [Code Generation](code_generation) for details.
- **/research**: Go deeper in a topic for more accurate, in-depth responses.

View file

@ -0,0 +1,30 @@
---
---
# Code Execution
Khoj can generate and run very simple Python code snippets as well. This is useful if you want to generate a plot, run a simple calculation, or do some basic data manipulation. LLMs by default aren't skilled at complex quantitative tasks. Code generation & execution can come in handy for such tasks.
Just use `/code` in your chat command.
### Setup (Self-Hosting)
Run [Cohere's Terrarium](https://github.com/cohere-ai/cohere-terrarium) on your machine to enable code generation and execution.
Check the [instructions](https://github.com/cohere-ai/cohere-terrarium?tab=readme-ov-file#development) for running from source.
For running with Docker, you can use our [docker-compose.yml](https://github.com/khoj-ai/khoj/blob/master/docker-compose.yml), or start it manually like this:
```bash
docker pull ghcr.io/khoj-ai/terrarium:latest
docker run -d -p 8080:8080 ghcr.io/khoj-ai/terrarium:latest
```
#### Verify
Verify that it's running, by evaluating a simple Python expression:
```bash
curl -X POST -H "Content-Type: application/json" \
--url http://localhost:8080 \
--data-raw '{"code": "1 + 1"}' \
--no-buffer
```