LlamaIndex: Use cratedb-about 0.0.6

Author: amotl

topic/machine-learning/llama-index/README.md

@@ -136,7 +136,7 @@ Answer was: The average value for sensor 1 is 17.033333333333335.
 Spin up the [CrateDB MCP server], connecting it to CrateDB on localhost.
 ```bash
 export CRATEDB_CLUSTER_URL=http://crate:crate@localhost:4200/
-export CRATEDB_MCP_TRANSPORT=streamable-http
+export CRATEDB_MCP_TRANSPORT=http
 uvx cratedb-mcp serve
 ```
 

topic/machine-learning/llama-index/demo_mcp.py

@@ -7,7 +7,7 @@
 ## Start CrateDB MCP Server
 ```
 export CRATEDB_CLUSTER_URL="http://localhost:4200/"
-cratedb-mcp serve --transport=streamable-http
+cratedb-mcp serve --transport=http
 ```
 
 ## Usage
@@ -20,7 +20,7 @@
 import asyncio
 import os
 
-from cratedb_about.instruction import Instructions
+from cratedb_about.instruction import GeneralInstructions
 
 from dotenv import load_dotenv
 from llama_index.core.agent.workflow import FunctionAgent
@@ -36,7 +36,7 @@ def __init__(self, llm: LLM):
         self.llm = llm
 
     async def get_tools(self):
-        # Connect to the CrateDB MCP server using `streamable-http` transport.
+        # Connect to the CrateDB MCP server using the `http` transport.
         mcp_url = os.getenv("CRATEDB_MCP_URL", "http://127.0.0.1:8000/mcp/")
         mcp_client = BasicMCPClient(mcp_url)
         mcp_tool_spec = McpToolSpec(
@@ -50,11 +50,11 @@ async def get_tools(self):
 
     async def get_agent(self):
         return FunctionAgent(
-            name="Agent",
+            name="DemoAgent",
             description="CrateDB text-to-SQL agent",
             llm=self.llm,
             tools=await self.get_tools(),
-            system_prompt=Instructions.full(),
+            system_prompt=GeneralInstructions().render(),
         )
 
     async def aquery(self, query):

topic/machine-learning/llama-index/requirements.txt

@@ -1,4 +1,4 @@
-cratedb-about @ git+https://github.com/crate/about.git@instructions
+cratedb-about==0.0.6
 langchain-openai<0.4
 llama-index-embeddings-langchain<0.4
 llama-index-embeddings-openai<0.4