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chore: Updates all references per new branding.

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Alex Notov
2025-09-16 16:35:49 -06:00
parent 419ee5b84e
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6
claude_code_sdk/.env.example
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@@ -3,7 +3,7 @@
# Create a token at: https://github.com/settings/tokens
GITHUB_TOKEN="your-github-personal-access-token-here"
# Anthropic API Key
# Claude API Key
# Required for using Claude SDK
# Get your key at: https://console.anthropic.com/settings/keys
ANTHROPIC_API_KEY="sk-ant-api03-your-api-key-here"
# Get your key at: https://platform.claude.com/settings/keys
CLAUDE_API_KEY="sk-ant-api03-your-api-key-here"

6
claude_code_sdk/00_The_one_liner_research_agent.ipynb
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@@ -41,9 +41,9 @@
"\n",
"Instead, a research agent requires the flexibility to explore unexpected leads and change direction based on what it finds. In its simplest form, a research agent can be an agent that simply searches the internet and summarizes it for you. \n",
"\n",
"Below, we'll implement a basic research agent with just a few lines of code. We provide Claude with exactly one tool which the Claude Code SDK contains straight out of the box: [web search tool](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/web-search-tool). \n",
"Below, we'll implement a basic research agent with just a few lines of code. We provide Claude with exactly one tool which the Claude Code SDK contains straight out of the box: [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool). \n",
"\n",
"> Check [here](https://docs.anthropic.com/en/docs/claude-code/settings#tools-available-to-claude) for a list of Claude Code's readily available tools"
"> Check [here](https://docs.claude.com/en/docs/claude-code/settings#tools-available-to-claude) for a list of Claude Code's readily available tools"
]
},
{
@@ -120,7 +120,7 @@
"\n",
"So far, we have laid out a very simple (maybe naive) implementation to illustrate how you can start leveraging the SDK to build a research agent. However, there are various ways we can improve our agent to turn it production ready. Let's cover a few of them:\n",
"\n",
"1. Notice how before we only sent one query? In many systems, a human will look at the output of the system, potentially assigning a follow up task. Just like text completions, if we want to send multiple queries to the agent (e.g., 1. analyze abc, 2. make xyz based on your analysis) we would have to copy over the entire analysis context in our second query. Instead, we can **[use the ClaudeSDKClient](https://docs.anthropic.com/en/docs/claude-code/sdk/sdk-python#1-the-claudesdkclient-class-recommended)** to maintain the conversation context for us.\n",
"1. Notice how before we only sent one query? In many systems, a human will look at the output of the system, potentially assigning a follow up task. Just like text completions, if we want to send multiple queries to the agent (e.g., 1. analyze abc, 2. make xyz based on your analysis) we would have to copy over the entire analysis context in our second query. Instead, we can **[use the ClaudeSDKClient](https://docs.claude.com/en/docs/claude-code/sdk/sdk-python#1-the-claudesdkclient-class-recommended)** to maintain the conversation context for us.\n",
"\n",
"2. Another great way of steering the system is **providing a system prompt**, akin to a system prompt used for text completions. To learn how to write a good system prompt for a research agent, we recommend looking [here](https://github.com/anthropics/anthropic-cookbook/tree/main/patterns/agents/prompts).\n",
"\n",

2
claude_code_sdk/02_The_observability_agent.ipynb
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@@ -28,7 +28,7 @@
"cell_type": "markdown",
"id": "08cc95b6",
"metadata": {},
"source": "In the previous notebooks we have built a basic research agent and a Chief of Staff multi-agent framework. While the agents we have built are already powerful, they were still limited in what they could do: the web search agent is limited to searching the internet and our Chief of Staff agent was limited to interacting with its own filesystem.\n\nThis is a serious constraint: real-world agents often need to interact with other systems like databases, APIs, file systems, and other specialized services. [MCP (Model Context Protocol)](https://modelcontextprotocol.io/docs/getting-started/intro) is an open-source standard for AI-tool integrations that allows for an easy connection between our agents and these external systems. In this notebook, we will explore how to connect MCP servers to our agent.\n\n**Need more details on MCP?** For comprehensive setup instructions, configuration best practices, and troubleshooting tips, see the [Claude Code MCP documentation](https://docs.anthropic.com/en/docs/claude-code/mcp)."
"source": "In the previous notebooks we have built a basic research agent and a Chief of Staff multi-agent framework. While the agents we have built are already powerful, they were still limited in what they could do: the web search agent is limited to searching the internet and our Chief of Staff agent was limited to interacting with its own filesystem.\n\nThis is a serious constraint: real-world agents often need to interact with other systems like databases, APIs, file systems, and other specialized services. [MCP (Model Context Protocol)](https://modelcontextprotocol.io/docs/getting-started/intro) is an open-source standard for AI-tool integrations that allows for an easy connection between our agents and these external systems. In this notebook, we will explore how to connect MCP servers to our agent.\n\n**Need more details on MCP?** For comprehensive setup instructions, configuration best practices, and troubleshooting tips, see the [Claude Code MCP documentation](https://docs.claude.com/en/docs/claude-code/mcp)."
},
{
"cell_type": "markdown",

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claude_code_sdk/README.md
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@@ -22,11 +22,11 @@ A tutorial series demonstrating how to build sophisticated general-purpose agent
```uv run python -m ipykernel install --user --name="cc-sdk-tutorial" --display-name "Python (cc-sdk-tutorial)" ```
#### 4. Anthropic API Key
1. Visit [console.anthropic.com](https://console.anthropic.com/dashboard)
#### 4. Claude API Key
1. Visit [platform.claude.com](https://platform.claude.com/dashboard)
2. Sign up or log in to your account
3. Click on "Get API keys"
4. Copy the key and paste it into your `.env` file as ```ANTHROPIC_API_KEY=```
4. Copy the key and paste it into your `.env` file as ```CLAUDE_API_KEY=```
#### 5. GitHub Token for Notebook 02
If you plan to work through the Observability Agent notebook: