Revert "Update README.md"

This reverts commit 68e151b2bd.

README.md

@@ -84,18 +84,16 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
 3. After cloning, navigate to the directory containing the project files.
 
-4. Update environment variables in `docker-compose.yml` file to configure `config.toml`. 
+4. Rename the `sample.config.toml` file to `config.toml`. For Docker setups, you need only fill in the following fields:
 
-Example: 
+   - `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
+   - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
+   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
+   - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
 
-Below section in `config.toml` can be configured using variables `MODELS_CUSTOM_OPENAI_API_KEY="sk-123456"`, `MODELS_CUSTOM_OPENAI_API_URL="http://localopenai:11134"` and `MODELS_CUSTOM_OPENAI_MODEL_NAME="meta-llama/llama-4"`
+     **Note**: You can change these after starting Perplexica from the settings dialog.
 
-```toml
+   - `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)
-[MODELS.CUSTOM_OPENAI]
-API_KEY = "sk-123456"
-API_URL = "http://localopenai:11134"
-MODEL_NAME = "meta-llama/llama-4"
-```
 
 5. Ensure you are in the directory containing the `docker-compose.yaml` file and execute:
 

app.dockerfile

@@ -21,9 +21,7 @@ COPY --from=builder /home/perplexica/.next/static ./public/_next/static
 
 COPY --from=builder /home/perplexica/.next/standalone ./
 COPY --from=builder /home/perplexica/data ./data
-COPY sample.config.toml /home/perplexica/config.toml
-COPY container_entrypoint.sh /home/perplexica/container_entrypoint.sh
 
 RUN mkdir /home/perplexica/uploads
 
-CMD ["bash", "/home/perplexica/container_entrypoint.sh"]
+CMD ["node", "server.js"]

container_entrypoint.sh

@@ -1,49 +0,0 @@
-#!/usr/bin/env bash
-
-CONFIG_TOML_FILE=/home/perplexica/config.toml
-
-TMP_FILE=${CONFIG_TOML_FILE}.tmp
-touch $TMP_FILE
-
-while IFS= read -r line; do
-    # Check if line is a section header (e.g., "[GENERAL]")
-    if [[ "$line" =~ ^\[([^]]+)\] ]]; then
-        current_section="${BASH_REMATCH[1]}"
-        echo "$line" >> "$TMP_FILE"
-        continue
-    fi
-
-    # Skip empty lines and comments
-    if [[ -z "$line" || "$line" =~ ^[[:space:]]*\# ]]; then
-        echo "$line" >> "$TMP_FILE"
-        continue
-    fi
-
-    # Extract key and value (handling quoted values)
-    key=$(echo "$line" | cut -d '=' -f 1 | xargs)
-    value=$(echo "$line" | cut -d '=' -f 2- | xargs)
-
-
-    # Construct the environment variable name in form of SECTION_KEY (e.g., GENERAL_SIMILARITY_MEASURE, MODELS_GEMINI_API_KEY)
-    current_section=$(echo "$current_section" | sed 's/\./_/')
-    env_var_name="${current_section}_${key}"
-
-    # Check if the environment variable exists
-    env_var_value=$(echo "${!env_var_name}")
-    if [ -n "$env_var_value" ]; then
-        new_value="$env_var_value"
-        echo "$key = $new_value" >> "$TMP_FILE"
-    else
-        # Keep original line if no env var exists
-        echo "$line" >> "$TMP_FILE"
-    fi
-
-done < "$CONFIG_TOML_FILE"
-
-# Replace the original file
-mv "$TMP_FILE" "$CONFIG_TOML_FILE"
-
-echo "Config file updated successfully."
-
-# Start server
-node server.js

docker-compose.yaml

@@ -16,19 +16,6 @@ services:
       dockerfile: app.dockerfile
     environment:
       - SEARXNG_API_URL=http://searxng:8080
-      - GENERAL_SIMILARITY_MEASURE="cosine" # "cosine" or "dot"
-      - GENERAL_KEEP_ALIVE="5m"             # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
-      - MODELS_OPENAI_API_KEY=""
-      - MODELS_GROQ_API_KEY=""
-      - MODELS_ANTHROPIC_API_KEY=""
-      - MODELS_GEMINI_API_KEY=""
-      - MODELS_CUSTOM_OPENAI_API_KEY=""
-      - MODELS_CUSTOM_OPENAI_API_URL=""
-      - MODELS_CUSTOM_OPENAI_MODEL_NAME=""
-      - MODELS_OLLAMA_API_KEY=""            # Ollama API URL - http://host.docker.internal:11434
-      - MODELS_DEEPSEEK_API_KEY=""
-      - MODELS_LM_STUDIO_API_KEY=""         # LM Studio API URL - http://host.docker.internal:1234
-      - API_ENDPOINTS_SEARXNG=""            # SearxNG API URL - http://localhost:32768
     ports:
       - 3000:3000
     networks:
@@ -36,6 +23,7 @@ services:
     volumes:
       - backend-dbstore:/home/perplexica/data
       - uploads:/home/perplexica/uploads
+      - ./config.toml:/home/perplexica/config.toml
     restart: unless-stopped
 
 networks:

src/lib/providers/openai.ts

@@ -30,6 +30,18 @@ const openaiChatModels: Record<string, string>[] = [
     displayName: 'GPT-4 omni mini',
     key: 'gpt-4o-mini',
   },
+  {
+    displayName: 'GPT 4.1 nano',
+    key: 'gpt-4.1-nano',
+  },
+  {
+    displayName: 'GPT 4.1 mini',
+    key: 'gpt-4.1-mini',
+  },
+  {
+    displayName: 'GPT 4.1',
+    key: 'gpt-4.1',
+  },
 ];
 
 const openaiEmbeddingModels: Record<string, string>[] = [

src/lib/utils/documents.ts

@@ -64,7 +64,7 @@ export const getDocumentsFromLinks = async ({ links }: { links: string[] }) => {
         const splittedText = await splitter.splitText(parsedText);
         const title = res.data
           .toString('utf8')
-          .match(/<title>(.*?)<\/title>/)?.[1];
+          .match(/<title.*>(.*?)<\/title>/)?.[1];
 
         const linkDocs = splittedText.map((text) => {
           return new Document({