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update install instructions to remove the
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docs/use-cases/AI_ML/MCP/ai_agent_libraries/agno.md

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@@ -33,9 +33,9 @@ You can run the following steps either from your Python REPL or via script.
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Install the Agno library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q agno
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!pip install -q ipywidgets
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pip install -q --upgrade pip
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pip install -q agno
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pip install -q ipywidgets
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```
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## Setup credentials {#setup-credentials}
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:::note Using another LLM provider
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If you don't have an Anthropic API key, and want to use another LLM provider,
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you can find the instructions for setting up your credentials in the [DSPy docs](https://dspy.ai/#__tabbed_1_1)
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you can find the instructions for setting up your credentials in the [Agno docs](https://docs.agno.com/concepts/models/introduction)
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:::
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Next, define the credentials needed to connect to the ClickHouse SQL playground:

docs/use-cases/AI_ML/MCP/ai_agent_libraries/claude-agent-sdk.md

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@@ -33,9 +33,9 @@ You can run the following steps either from your Python REPL or via script.
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Install the Claude Agent SDK library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q claude-agent-sdk
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!pip install -q ipywidgets
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pip install -q --upgrade pip
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pip install -q claude-agent-sdk
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pip install -q ipywidgets
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/crewai.md

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Install the CrewAI library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q "crewai-tools[mcp]"
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!pip install -q ipywidgets
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pip install -q --upgrade pip
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pip install -q "crewai-tools[mcp]"
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pip install -q ipywidgets
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/dspy.md

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Run the following commands using `pip` to install the required libraries:
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```shell
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!pip install -q --upgrade pip
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!pip install -q dspy
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!pip install -q mcp
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pip install -q --upgrade pip
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pip install -q dspy
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pip install -q mcp
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/langchain.md

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Install the required libraries by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q langchain-mcp-adapters
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!pip install -q langgraph
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!pip install -q "langchain[anthropic]"
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pip install -q --upgrade pip
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pip install -q langchain-mcp-adapters langgraph "langchain[anthropic]"
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/llamaindex.md

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Install the required libraries by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q llama-index
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!pip install -q clickhouse-connect
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!pip install -q llama-index-llms-anthropic
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!pip install -q llama-index-tools-mcp
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pip install -q --upgrade pip
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pip install -q llama-index clickhouse-connect llama-index-llms-anthropic llama-index-tools-mcp
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/microsoft-agent-framework.md

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Install the Microsoft Agent Framework library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q agent-framework --pre
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!pip install -q ipywidgets
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pip install -q --upgrade pip
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pip install -q agent-framework --pre
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pip install -q ipywidgets
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/openai-agents.md

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Install the required library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q openai-agents
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pip install -q --upgrade pip
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pip install -q openai-agents
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```
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## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/pydantic-ai.md

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Install the required library by running the following commands:
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```python
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!pip install -q --upgrade pip
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!pip install -q "pydantic-ai-slim[mcp]"
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!pip install -q "pydantic-ai-slim[anthropic]" # replace with the appropriate package if using a different LLM provider
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pip install -q --upgrade pip
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pip install -q "pydantic-ai-slim[mcp]"
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pip install -q "pydantic-ai-slim[anthropic]" # replace with the appropriate package if using a different LLM provider
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```
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## Setup credentials {#setup-credentials}

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