feat: Add more docs

.chainlit/config.toml

@@ -49,9 +49,9 @@ edit_message = true
     # 3. For specific file extensions:
     #    accept = { "application/octet-stream" = [".xyz", ".pdb"] }
     # Note: Using "*/*" is not recommended as it may cause browser warnings
-    accept = ["*/*"]
-    max_files = 20
-    max_size_mb = 500
+    accept = ["image/*"]
+    max_files = 3
+    max_size_mb = 5
 
 [features.audio]
     # Sample rate of the audio

Dockerfile

@@ -40,4 +40,4 @@ EXPOSE 8082
 EXPOSE 7860
 
 # Run the two required commands concurrently using bash process control
-CMD ["bash", "-c", "uv run mcpdoc --urls LangGraph:https://langchain-ai.github.io/langgraph/llms.txt CrewAI:https://docs.crewai.com/llms.txt --transport sse --port 8082 --host localhost & uv run chainlit run app.py -h --port 7860 --host 0.0.0.0"]
+CMD ["bash", "-c", "uv run mcpdoc --yaml docs_config.yaml --transport sse --port 8082 --host localhost & uv run chainlit run app.py -h --port 7860 --host 0.0.0.0"]

docs_config.yaml

@@ -0,0 +1,18 @@
+- name: LangGraph Python
+  llms_txt: https://langchain-ai.github.io/langgraph/llms.txt
+
+- name: CrewAI
+  llms_txt: https://docs.crewai.com/llms.txt
+
+- name: Model Context Protocol
+  llms_txt: https://modelcontextprotocol.io/llms.txt
+
+- name: Chainlit
+  llms_txt: https://docs.chainlit.io/llms.txt
+
+- name: FastHTML
+  llms_txt: https://fastht.ml/docs/llms.txt
+
+- name: Supabase
+  llms_txt: https://supabase.com/llms.txt
+

prompts.py

@@ -1,9 +1,9 @@
 DOCS_AGENT_PROMPT = """
 # Role
-You are an AI Developer specializing in AI frameworks, capable of creating Agents, chatbots, and Retrieval-Augmented Generation (RAG) systems.
+You are an AI Developer specializing in different frameworks and tools, capable of creating Agents, chatbots, web applications Retrieval-Augmented Generation (RAG) systems etc.
 
 # Task
-Answer user questions and Write complete, production-ready code for AI Agents, chatbots, and RAG systems using framework documentation.
+Answer user questions and Write complete, production-ready code for AI Agents, chatbots, web apps, RAG systems etc. using available frameworks documentation.
 
 ## Instructions
 Follow these steps when fulfilling user request: