Support for provider prefixes

README.md

@@ -37,13 +37,13 @@ There is a detailed [tutorial](https://github.com/haesleinhuepf/git-bob/blob/mai
   * Make sure to replace `pip install -e .` with a specific git-bob version such as `pip install git-bob==0.16.0`.
   * If your project does not contain a `requirements.txt` file, remove the line `pip install -r requirements.txt`.
   * Configure the LLM you want to use in the workflow files by specifying the `GIT_BOB_LLM_NAME` environment variable. These were tested:
-    * `claude-3-5-sonnet-20241022`
-    * `gpt-4o-2024-08-06`
+    * `anthropic:claude-3-5-sonnet-20241022`
+    * `openai:gpt-4o-2024-08-06`
     * `github_models:gpt-4o`
     * `github_models:meta-llama-3.1-405b-instruct`
-    * `gemini-1.5-pro-002`
-    * `mistral-large-2411` (uses `pixtral-12b-2409` for vision tasks)
-    * `deepseek-chat`
+    * `google:gemini-1.5-pro-002`
+    * `mistral:mistral-large-2411` (uses `pixtral-12b-2409` for vision tasks)
+    * `mistral:deepseek-chat`
   * configure a GitHub secret with the corresponding key from the LLM provider depending on the above configured LLM:
     * `OPENAI_API_KEY`: [OpenAI (gpt)](https://openai.com/blog/openai-api)
     * `ANTHROPIC_API_KEY`: [Anthropic (claude)](https://www.anthropic.com/api)

setup.cfg

@@ -54,10 +54,13 @@ console_scripts =
     git-bob-remote = git_bob._terminal:remote_interface
 
 git_bob.prompt_handlers =
+    openai = git_bob._endpoints:prompt_openai
     gpt-4o = git_bob._endpoints:prompt_openai
     gpt4o = git_bob._endpoints:prompt_openai
     o1 = git_bob._endpoints:prompt_openai
+    anthropic = git_bob._endpoints:prompt_anthropic
     claude = git_bob._endpoints:prompt_anthropic
+    google = git_bob._endpoints:prompt_googleai
     gemini = git_bob._endpoints:prompt_googleai
     mistral = git_bob._endpoints:prompt_mistral
     pixtral = git_bob._endpoints:prompt_mistral

src/git_bob/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.18.1"
+__version__ = "0.19.0"
 
 
 __all__ = (

src/git_bob/_terminal.py

@@ -48,7 +48,7 @@ def command_line_interface():
         if value is not None:
             try:
                 signature = inspect.signature(value)
-                model_aliases[key] = signature.parameters['model'].default
+                model_aliases[key] = key + ":" + signature.parameters['model'].default
             except:
                 continue
     print("model aliases:\n", model_aliases)
@@ -106,7 +106,7 @@ def handler(signum, frame):
     print("text: ", text)
     print(f"{agent_name} ask in text", f"{agent_name} ask" in text)
 
-    # handle ask-llm task option
+    # handle ask-llm task option (using model names or aliases to select the LLM)
     if f"{agent_name} ask" in text:
         # example:
         # git-bob ask gpt-4o to solve this issue -> git-bob solve this issue
@@ -125,10 +125,21 @@ def handler(signum, frame):
 
     prompt_function = None
     prompt_handlers = init_prompt_handlers() # reinitialize, because configured LLM may have changed
-    for key, value in prompt_handlers.items():
-        if key in Config.llm_name:
-            prompt_function = partial(value, model=Config.llm_name) 
-            break
+
+    # search for the leading model provider (left of : )
+    if ":" in Config.llm_name:
+        provider = Config.llm_name.split(":")[0]
+        for key, value in prompt_handlers.items():
+            if key == provider:
+                Log().log(f"Selecting prompt handler by provider name ({provider}): " + value.__name__)
+                prompt_function = partial(value, model=Config.llm_name)
+                break
+    else:
+        for key, value in prompt_handlers.items():
+            if key in Config.llm_name:
+                Log().log("Selecting prompt handler by llm_name: " + value.__name__)
+                prompt_function = partial(value, model=Config.llm_name)
+                break
 
     if prompt_function is None:
         llm_name = Config.llm_name[1:]