Use the correct env var LLM_KEY instead of LLM_MODEL (#98)

.env.example

@@ -23,9 +23,9 @@ AZURE_API_BASE=""
 # AZURE_API_VERSION: The version of Azure's API to use.
 AZURE_API_VERSION=""
 
-# LLM_MODEL: The chosen language model to use. This should be one of the models
+# LLM_KEY: The chosen language model to use. This should be one of the models
 # provided by the enabled LLM providers (e.g., OPENAI_GPT4_TURBO, OPENAI_GPT4V, ANTHROPIC_CLAUDE3, AZURE_OPENAI_GPT4V).
-LLM_MODEL=""
+LLM_KEY=""
 
 # Web browser configuration for scraping:
 # BROWSER_TYPE: Can be either "chromium-headless" or "chromium-headful".

.github/sync.yml

@@ -6,4 +6,14 @@ Skyvern-AI/skyvern-cloud:
   - source: pyproject.toml
     dest: pyproject.toml
   - source: poetry.lock
-    dest: poetry.lock
+    dest: poetry.lock
+  - source: setup.sh
+    dest: setup.sh
+  - source: .env.example
+    dest: .env.example
+  - source: run_ui.sh
+    dest: run_ui.sh
+  - source: run_skyvern.sh
+    dest: run_skyvern.sh
+  - source: run_alembic_check.sh
+    dest: run_alembic_check.sh

setup.sh

@@ -107,7 +107,7 @@ setup_llm_providers() {
         read -p "Choose a model by number (e.g., 1 for ${model_options[0]}): " model_choice
         chosen_model=${model_options[$((model_choice-1))]}
         echo "Chosen LLM Model: $chosen_model"
-        update_or_add_env_var "LLM_MODEL" "$chosen_model"
+        update_or_add_env_var "LLM_KEY" "$chosen_model"
     fi
 
     echo "LLM provider configurations updated in .env."