docs: remove outdated documentation files

.env.example

@@ -25,16 +25,16 @@ ENCRYPTION_SECRET_HEX=3143246f44def075d40141fb849faffcf409fbbeb7a282a3a7c2f4396f
 # ============================================================================
 # REQUIRED: API Keys
 # ============================================================================
-# OpenAI-compatible provider (OpenAI or OpenRouter). Use your API key here.
+# OpenRouter API configuration (recommended). Get your API key at https://openrouter.ai
 # EMBEDDING_DIMENSIONS controls the embedding vector size used by RAG/vector search.
 # When using custom embedding models or providers, you MUST set EMBEDDING_DIMENSIONS
 # to match your vector store's configured dimension (for example, 3072 for
 # text-embedding-3-large).
-OPENAI_BASE_URL=https://api.openai.com/v1
-OPENAI_API_KEY=replace-with-your-key
-OPENAI_MODEL=gpt-5-mini-2025-08-07
-OPENAI_CODING_MODEL=gpt-5
-OPENAI_EMBEDDING_MODEL=text-embedding-3-large
+OPENAI_BASE_URL=https://openrouter.ai/api/v1
+OPENAI_API_KEY=your-openrouter-api-key
+OPENAI_MODEL=x-ai/grok-4.1-fast
+OPENAI_CODING_MODEL=x-ai/grok-4.1-fast
+OPENAI_EMBEDDING_MODEL=openai/text-embedding-3-large
 # EMBEDDING_DIMENSIONS=3072
 
 # ============================================================================

README.md

@@ -11,7 +11,7 @@ Get Tale running in 3 steps:
 ### 1. Prerequisites
 
 - [Docker Desktop](https://www.docker.com/products/docker-desktop) (v24+)
-- [OpenAI API Key](https://platform.openai.com/api-keys)
+- [OpenRouter API Key](https://openrouter.ai)
 
 ### 2. Clone & Configure
 
@@ -21,10 +21,10 @@ cd tale
 cp .env.example .env
 ```
 
-Edit `.env` and add your OpenAI API key:
+Edit `.env` and add your OpenRouter API key:
 
 ```bash
-OPENAI_API_KEY=sk-your-key-here
+OPENAI_API_KEY=your-openrouter-api-key
 ```
 
 ### 3. Launch