Merge branch 'master' into feature/11-prompt-config

Author: ehddnr301

.env.example

@@ -0,0 +1,66 @@
+###############################################
+############## LLM API SELECTION ##############
+###############################################
+
+# LLM_PROVIDER=openai
+# OPEN_AI_LLM_KEY=
+# OPEN_AI_LLM_MODEL=gpt-4o
+
+# LLM_PROVIDER=gemini
+# GEMINI_API_KEY=
+# GEMINI_LLM_MODEL=gemini-2.0-flash-lite
+
+# LLM_PROVIDER=azure
+# AZURE_OPENAI_LLM_ENDPOINT=
+# AZURE_OPENAI_LLM_KEY=
+# AZURE_OPENAI_LLM_MODEL=
+# AZURE_OPENAI_LLM_API_VERSION=
+
+# LLM_PROVIDER=ollama
+# OLLAMA_LLM_BASE_URL=
+# OLLAMA_LLM_MODEL=
+
+# LLM_PROVIDER=huggingface
+# HUGGING_FACE_LLM_REPO_ID=
+# HUGGING_FACE_LLM_ENDPOINT=
+# HUGGING_FACE_LLM_API_TOKEN=
+
+# LLM_PROVIDER=bedrock
+# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
+# AWS_BEDROCK_LLM_SECRET_ACCESS_KEY=
+# AWS_BEDROCK_LLM_REGION=us-west-2
+# AWS_BEDROCK_LLM_ENDPOINT_URL=https://bedrock.us-west-2.amazonaws.com
+# AWS_BEDROCK_LLM_MODEL=anthropic.claude-3-5-sonnet-20241022-v2:0\
+
+###############################################
+########### Embedding API SElECTION ###########
+###############################################
+# Only used if you are using an LLM that does not natively support embedding (openai or Azure)
+# EMBEDDING_ENGINE='openai'
+# OPEN_AI_KEY=sk-xxxx
+# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
+
+# EMBEDDING_ENGINE='azure'
+# AZURE_OPENAI_ENDPOINT=
+# AZURE_OPENAI_KEY=
+# EMBEDDING_MODEL_PREF='my-embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
+
+# EMBEDDING_ENGINE='ollama'
+# EMBEDDING_BASE_PATH='http://host.docker.internal:11434'
+# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+
+# EMBEDDING_ENGINE='bedrock'
+# AWS_BEDROCK_EMBEDDING_ACCESS_KEY_ID=
+# AWS_BEDROCK_EMBEDDING_ACCESS_KEY=
+# AWS_BEDROCK_EMBEDDING_REGION=us-west-2
+# AWS_BEDROCK_EMBEDDING_MODEL_PREF=amazon.embedding-embedding-ada-002:0
+
+# EMBEDDING_ENGINE='gemini'
+# GEMINI_EMBEDDING_API_KEY=
+# EMBEDDING_MODEL_PREF='text-embedding-004'
+
+# EMBEDDING_ENGINE='huggingface'
+# HUGGING_FACE_EMBEDDING_REPO_ID=
+# HUGGING_FACE_EMBEDDING_MODEL=
+# HUGGING_FACE_EMBEDDING_API_TOKEN=