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authorsigoden <sigoden@gmail.com>2024-07-12 23:51:00 +0000
committersigoden <sigoden@gmail.com>2024-07-12 23:51:00 +0000
commit2f938034c357a1c3f2cc9902ad8e5a250b544695 (patch)
treee3e0273aee1f2c095a87a008bf9336008aa78f38 /README.md
parent1051beca6a41c5112645f7e390e4e63dd6288e64 (diff)
downloadllm-functions-docker-2f938034c357a1c3f2cc9902ad8e5a250b544695.tar.gz
chore: update readme
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diff --git a/README.md b/README.md
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@@ -28,22 +28,22 @@ git clone https://github.com/sigoden/llm-functions
```
get_current_weather.sh
-execute_command.sh
-#execute_py_code.py
+execute_py_code.py
+search_tavily.sh
```
- Create a `./agents.txt` file with each agent name on a new line.
```
+coder
todo
-#demo
```
-- Run `argc build` to build functions declarations files (`functions.json`) and binaries (`./bin`) for tools and agents.
+- Run `argc build` to build tools and agents
**3. Configure your AIChat:**
-Symlink this repo directory to aichat **functions_dir**:
+Symlink this repo directory to AIChat **functions_dir**:
```sh
ln -s "$(pwd)" "$(aichat --info | grep -w functions_dir | awk '{print $2}')"
@@ -51,8 +51,6 @@ ln -s "$(pwd)" "$(aichat --info | grep -w functions_dir | awk '{print $2}')"
argc install
```
-AIChat will automatically load `functions.json` and execute commands located in the `./bin` directory based on your prompts.
-
**4. Start using your functions:**
Now you can interact with your LLM using natural language prompts that trigger your defined functions.