Container improvements

Dockerfile

@@ -1,5 +1,10 @@
 FROM python:3-slim
 
+ENV SHELL_INTERACTION=false
+ENV PRETTIFY_MARKDOWN=false
+ENV OS_NAME=auto
+ENV SHELL_NAME=auto
+
 WORKDIR /app
 COPY . /app
 

README.md

@@ -461,18 +461,58 @@ docker run --rm \
        ghcr.io/ther1d/shell_gpt --chat rainbow "what are the colors of a rainbow"
 ```
 
+When using a container, please note:
+* The \[E\]xecute option for --shell with interaction will not work, since it would try this Execute in the docker container.  
+=> setting the `SHELL_INTERACTION` environment variable to false , makes sense.
+* Since, most likely the os and shell of your container are not identical to the environment you want help with:  
+set the environment variables `OS_NAME` and `SHELL_NAME` according to your setup.
+
+
 Example of a conversation, using an alias and the `OPENAI_API_KEY` environment variable:
 ```shell
-alias sgpt="docker run --rm --env OPENAI_API_KEY --volume gpt-cache:/tmp/shell_gpt ghcr.io/ther1d/shell_gpt"
+alias sgpt="docker run --rm --volume gpt-cache:/tmp/shell_gpt --env OPENAI_API_KEY --env OS_NAME=$(uname -s) --env SHELL_NAME=$(echo $SHELL) ghcr.io/ther1d/shell_gpt"
 export OPENAI_API_KEY="your OPENAI API key"
 sgpt --chat rainbow "what are the colors of a rainbow"
 sgpt --chat rainbow "inverse the list of your last answer"
 sgpt --chat rainbow "translate your last answer in french"
 ```
+Note:  
+Consider filling in a more specific OS_NAME instead of using $(uname -s)  
 
 You also can use the provided `Dockerfile` to build your own image:
 ```shell
 docker build -t sgpt .
 ```
 
-Additional documentation: [Azure integration](https://github.com/TheR1D/shell_gpt/wiki/Azure), [Ollama integration](https://github.com/TheR1D/shell_gpt/wiki/Ollama).
+### Docker + Ollama
+
+If you want to send your requests to an Ollama instance and run ShellGPT inside a Docker container, you need to adjust the Dockerfile and build the container yourself: the litellm package is needed and env variables need to be set correctly.
+
+Example Dockerfile:
+```
+FROM python:3-slim
+
+ENV DEFAULT_MODEL=ollama/mistral:7b-instruct-v0.2-q4_K_M
+ENV API_BASE_URL=http://10.10.10.10:11434
+ENV USE_LITELLM=true
+ENV OPENAI_API_KEY=bad_key
+ENV SHELL_INTERACTION=false
+ENV PRETTIFY_MARKDOWN=false
+ENV OS_NAME="Red Hat Enterprise Linux 8.6 (Ootpa)"
+ENV SHELL_NAME=auto
+
+WORKDIR /app
+COPY . /app
+
+RUN apt-get update && apt-get install -y gcc
+RUN pip install --no-cache /app[litellm] && mkdir -p /tmp/shell_gpt
+
+VOLUME /tmp/shell_gpt
+
+ENTRYPOINT ["sgpt"]
+```
+
+
+## Additional documentation
+* [Azure integration](https://github.com/TheR1D/shell_gpt/wiki/Azure)
+* [Ollama integration](https://github.com/TheR1D/shell_gpt/wiki/Ollama)

sgpt/app.py

@@ -57,7 +57,7 @@ def main(
         rich_help_panel="Assistance Options",
     ),
     interaction: bool = typer.Option(
-        True,
+        cfg.get("SHELL_INTERACTION") == "true",
         help="Interactive mode for --shell option.",
         rich_help_panel="Assistance Options",
     ),

sgpt/config.py

@@ -34,6 +34,9 @@
     "API_BASE_URL": os.getenv("API_BASE_URL", "default"),
     "PRETTIFY_MARKDOWN": os.getenv("PRETTIFY_MARKDOWN", "true"),
     "USE_LITELLM": os.getenv("USE_LITELLM", "false"),
+    "SHELL_INTERACTION ": os.getenv("SHELL_INTERACTION ", "true"),
+    "OS_NAME": os.getenv("OS_NAME", "auto"),
+    "SHELL_NAME ": os.getenv("SHELL_NAME", "auto"),
     # New features might add their own config variables here.
 }
 

sgpt/role.py

@@ -113,6 +113,8 @@ def get_role_name(cls, initial_message: str) -> Optional[str]:
 
     @classmethod
     def _os_name(cls) -> str:
+        if cfg.get("OS_NAME") != "auto":
+            return cfg.get("OS_NAME")
         current_platform = platform.system()
         if current_platform == "Linux":
             return "Linux/" + distro_name(pretty=True)
@@ -124,6 +126,8 @@ def _os_name(cls) -> str:
 
     @classmethod
     def _shell_name(cls) -> str:
+        if cfg.get("SHELL_NAME") != "auto":
+            return cfg.get("SHELL_NAME")
         current_platform = platform.system()
         if current_platform in ("Windows", "nt"):
             is_powershell = len(getenv("PSModulePath", "").split(pathsep)) >= 3