sarwarbeing-ai · cuiweifu · Jan 26, 2026
diff --git a/...Chapter 1_ Prompt Chaining (Code Example) → ...Prompt Chaining (Code Example)-checkpoint b/...Chapter 1_ Prompt Chaining (Code Example) → ...Prompt Chaining (Code Example)-checkpoint
diff --git a/notebooks/Appendix C_ → notebooks/Appendix C_.ipynb b/notebooks/Appendix C_ → notebooks/Appendix C_.ipynb
diff --git a/notebooks/Appendix_ Pydantic → notebooks/Appendix_ Pydantic.ipynb b/notebooks/Appendix_ Pydantic → notebooks/Appendix_ Pydantic.ipynb
diff --git a/...ocol (ADK Agent Consuming FastMCP Server) → ...ADK Agent Consuming FastMCP Server).ipynb b/...ocol (ADK Agent Consuming FastMCP Server) → ...ADK Agent Consuming FastMCP Server).ipynb
diff --git a/...Context Protocol (FastMCP Server Example) → ...t Protocol (FastMCP Server Example).ipynb b/...Context Protocol (FastMCP Server Example) → ...t Protocol (FastMCP Server Example).ipynb
diff --git a/...ol (__init__.py for FastMCP Client Agent) → ...init__.py for FastMCP Client Agent).ipynb b/...ol (__init__.py for FastMCP Client Agent) → ...init__.py for FastMCP Client Agent).ipynb
diff --git a/... (__init__.py for MCP Filesystem Example) → ...it__.py for MCP Filesystem Example).ipynb b/... (__init__.py for MCP Filesystem Example) → ...it__.py for MCP Filesystem Example).ipynb
diff --git a/...col (agent.py for MCP Filesystem Example) → ...gent.py for MCP Filesystem Example).ipynb b/...col (agent.py for MCP Filesystem Example) → ...gent.py for MCP Filesystem Example).ipynb
diff --git a/...ndling and Recovery (Agent with Fallback) → ... and Recovery (Agent with Fallback).ipynb b/...ndling and Recovery (Agent with Fallback) → ... and Recovery (Agent with Fallback).ipynb
diff --git a/...gent with Personalization and Escalation) → ...ith Personalization and Escalation).ipynb b/...gent with Personalization and Escalation) → ...ith Personalization and Escalation).ipynb
diff --git a/... 14_ Knowledge Retrieval (RAG LangChain) → ...nowledge Retrieval (RAG LangChain).ipynb b/... 14_ Knowledge Retrieval (RAG LangChain) → ...nowledge Retrieval (RAG LangChain).ipynb
diff --git a/..._ Knowledge Retrieval (RAG Google Search) → ...ledge Retrieval (RAG Google Search).ipynb b/..._ Knowledge Retrieval (RAG Google Search) → ...ledge Retrieval (RAG Google Search).ipynb
diff --git a/...er 14_ Knowledge Retrieval (RAG VertexAI) → ... Knowledge Retrieval (RAG VertexAI).ipynb b/...er 14_ Knowledge Retrieval (RAG VertexAI) → ... Knowledge Retrieval (RAG VertexAI).ipynb
diff --git a/...Card for an Agent acting as a WeatherBot) → ...or an Agent acting as a WeatherBot).ipynb b/...Card for an Agent acting as a WeatherBot) → ...or an Agent acting as a WeatherBot).ipynb
diff --git a/...apter 15_ Inter-Agent Communication (A2A) → ...15_ Inter-Agent Communication (A2A).ipynb b/...apter 15_ Inter-Agent Communication (A2A) → ...15_ Inter-Agent Communication (A2A).ipynb
diff --git a/...tion (Synchronous and Streaming Requests) → ...Synchronous and Streaming Requests).ipynb b/...tion (Synchronous and Streaming Requests) → ...Synchronous and Streaming Requests).ipynb
diff --git a/...Aware Optimization (OI and Google search) → ...Optimization (OI and Google search).ipynb b/...Aware Optimization (OI and Google search) → ...Optimization (OI and Google search).ipynb
diff --git a/...source-Aware Optimization (code snippets) → ...-Aware Optimization (code snippets).ipynb b/...source-Aware Optimization (code snippets) → ...-Aware Optimization (code snippets).ipynb
diff --git a/...17_ Reasoning Techniques (Executing code) → ...asoning Techniques (Executing code).ipynb b/...17_ Reasoning Techniques (Executing code) → ...asoning Techniques (Executing code).ipynb
diff --git a/... Reasoning Techniques (Google DeepSearch) → ...ning Techniques (Google DeepSearch).ipynb b/... Reasoning Techniques (Google DeepSearch) → ...ning Techniques (Google DeepSearch).ipynb
diff --git a/...ng Techniques (Prompt with CoT for Agent) → ...hniques (Prompt with CoT for Agent).ipynb b/...ng Techniques (Prompt with CoT for Agent) → ...hniques (Prompt with CoT for Agent).ipynb
diff --git a/...(Prompt with Self-correction with Agents) → ...t with Self-correction with Agents).ipynb b/...(Prompt with Self-correction with Agents) → ...t with Self-correction with Agents).ipynb
diff --git a/...rails_Safety Patterns (ADK validate tool) → ...Safety Patterns (ADK validate tool).ipynb b/...rails_Safety Patterns (ADK validate tool) → ...Safety Patterns (ADK validate tool).ipynb
diff --git a/...ails_Safety Patterns (LLM as a Guardrail) → ...afety Patterns (LLM as a Guardrail).ipynb b/...ails_Safety Patterns (LLM as a Guardrail) → ...afety Patterns (LLM as a Guardrail).ipynb
diff --git a/...ractical Code Examples for Guardrails)(1) → ...al Code Examples for Guardrails)(1).ipynb b/...ractical Code Examples for Guardrails)(1) → ...al Code Examples for Guardrails)(1).ipynb
diff --git a/... (Practical Code Examples for Guardrails) → ...tical Code Examples for Guardrails).ipynb b/... (Practical Code Examples for Guardrails) → ...tical Code Examples for Guardrails).ipynb
diff --git a/...ponse Evaluation (Correctness_Relevance)) → ...Evaluation (Correctness_Relevance)).ipynb b/...ponse Evaluation (Correctness_Relevance)) → ...Evaluation (Correctness_Relevance)).ipynb
diff --git a/...valuation and Monitoring (LLM as a Judge) → ...ion and Monitoring (LLM as a Judge).ipynb b/...valuation and Monitoring (LLM as a Judge) → ...ion and Monitoring (LLM as a Judge).ipynb
diff --git a/notebooks/Chapter 1_ Prompt Chaining (Code Example).ipynb b/notebooks/Chapter 1_ Prompt Chaining (Code Example).ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"code","source":["import os\n","from langchain_openai import ChatOpenAI\n","from langchain_core.prompts import ChatPromptTemplate\n","from langchain_core.output_parsers import StrOutputParser\n","\n","# For better security, load environment variables from a .env file\n","# from dotenv import load_dotenv\n","# load_dotenv()\n","# Make sure your OPENAI_API_KEY is set in the .env file\n","\n","# Initialize the Language Model (using ChatOpenAI is recommended)\n","llm = ChatOpenAI(temperature=0)\n","\n","# --- Prompt 1: Extract Information ---\n","prompt_extract = ChatPromptTemplate.from_template(\n","    \"Extract the technical specifications from the following text:\\n\\n{text_input}\"\n",")\n","\n","# --- Prompt 2: Transform to JSON ---\n","prompt_transform = ChatPromptTemplate.from_template(\n","    \"Transform the following specifications into a JSON object with 'cpu', 'memory', and 'storage' as keys:\\n\\n{specifications}\"\n",")\n","\n","# --- Build the Chain using LCEL ---\n","# The StrOutputParser() converts the LLM's message output to a simple string.\n","extraction_chain = prompt_extract | llm | StrOutputParser()\n","\n","# The full chain passes the output of the extraction chain into the 'specifications'\n","# variable for the transformation prompt.\n","full_chain = (\n","    {\"specifications\": extraction_chain}\n","    | prompt_transform\n","    | llm\n","    | StrOutputParser()\n",")\n","\n","# --- Run the Chain ---\n","input_text = \"The new laptop model features a 3.5 GHz octa-core processor, 16GB of RAM, and a 1TB NVMe SSD.\"\n","\n","# Execute the chain with the input text dictionary.\n","final_result = full_chain.invoke({\"text_input\": input_text})\n","\n","print(\"\\n--- Final JSON Output ---\")\n","print(final_result)"],"outputs":[],"execution_count":null,"metadata":{"id":"NhfdOggSqMrH"}}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}
diff --git a/...Chapter 1_ Prompt Chaining (JSON example) → ...r 1_ Prompt Chaining (JSON example).ipynb b/...Chapter 1_ Prompt Chaining (JSON example) → ...r 1_ Prompt Chaining (JSON example).ipynb
diff --git a/...hapter 20_ Prioritization (SuperSimplePM) → ... 20_ Prioritization (SuperSimplePM).ipynb b/...hapter 20_ Prioritization (SuperSimplePM) → ... 20_ Prioritization (SuperSimplePM).ipynb
diff --git a/...ploration and Discovery(Agent Laboratory) → ...ion and Discovery(Agent Laboratory).ipynb b/...ploration and Discovery(Agent Laboratory) → ...ion and Discovery(Agent Laboratory).ipynb
diff --git a/...pter 2_ Routing (Google ADK Code Example) → ..._ Routing (Google ADK Code Example).ipynb b/...pter 2_ Routing (Google ADK Code Example) → ..._ Routing (Google ADK Code Example).ipynb
diff --git a/...apter 2_ Routing (LangGraph Code Example) → ...2_ Routing (LangGraph Code Example).ipynb b/...apter 2_ Routing (LangGraph Code Example) → ...2_ Routing (LangGraph Code Example).ipynb
diff --git a/...s/Chapter 2_ Routing (Openrouter example) → ...ter 2_ Routing (Openrouter example).ipynb b/...s/Chapter 2_ Routing (Openrouter example) → ...ter 2_ Routing (Openrouter example).ipynb
diff --git a/... Parallelization (LangChain Code Example) → ...lelization (LangChain Code Example).ipynb b/... Parallelization (LangChain Code Example) → ...lelization (LangChain Code Example).ipynb
diff --git a/.../Chapter 4_ Reflection (ADK Code Example) → ...er 4_ Reflection (ADK Code Example).ipynb b/.../Chapter 4_ Reflection (ADK Code Example) → ...er 4_ Reflection (ADK Code Example).ipynb
diff --git a/...4_ Reflection (Iterative Loop reflection) → ...lection (Iterative Loop reflection).ipynb b/...4_ Reflection (Iterative Loop reflection) → ...lection (Iterative Loop reflection).ipynb
diff --git a/...er 4_ Reflection (LangChain Code Example) → ...Reflection (LangChain Code Example).ipynb b/...er 4_ Reflection (LangChain Code Example) → ...Reflection (LangChain Code Example).ipynb
diff --git a/...ool Use (CrewAI Function Calling Example) → ...e (CrewAI Function Calling Example).ipynb b/...ool Use (CrewAI Function Calling Example) → ...e (CrewAI Function Calling Example).ipynb
diff --git a/...ter 5_ Tool Use (LangChain Code Example ) → ... Tool Use (LangChain Code Example ).ipynb b/...ter 5_ Tool Use (LangChain Code Example ) → ... Tool Use (LangChain Code Example ).ipynb
diff --git a/notebooks/Chapter 6_ Planning - Code Example → .../Chapter 6_ Planning - Code Example.ipynb b/notebooks/Chapter 6_ Planning - Code Example → .../Chapter 6_ Planning - Code Example.ipynb
diff --git a/... 6_ Planning - Deep Research API Example → ...anning - Deep Research API Example.ipynb b/... 6_ Planning - Deep Research API Example → ...anning - Deep Research API Example.ipynb
diff --git a/...boration - Code Example (CrewAI + Gemini) → ...on - Code Example (CrewAI + Gemini).ipynb b/...boration - Code Example (CrewAI + Gemini) → ...on - Code Example (CrewAI + Gemini).ipynb
diff --git a/..._ Explicit State Update via EventActions) → ...icit State Update via EventActions).ipynb b/..._ Explicit State Update via EventActions) → ...icit State Update via EventActions).ipynb
diff --git a/...Example (ADK LlmAgent output_key Example) → ...e (ADK LlmAgent output_key Example).ipynb b/...Example (ADK LlmAgent output_key Example) → ...e (ADK LlmAgent output_key Example).ipynb
diff --git a/...mple (ADK MemoryService InMemory Example) → ...ADK MemoryService InMemory Example).ipynb b/...mple (ADK MemoryService InMemory Example) → ...ADK MemoryService InMemory Example).ipynb
diff --git a/...ADK SessionService InMemory and Database) → ...ssionService InMemory and Database).ipynb b/...ADK SessionService InMemory and Database) → ...ssionService InMemory and Database).ipynb
diff --git a/... - Code Example (LangChain and LangGraph) → ...e Example (LangChain and LangGraph).ipynb b/... - Code Example (LangChain and LangGraph) → ...e Example (LangChain and LangGraph).ipynb
diff --git a/...9_ Adaptation - Code Example (OpenEvolve) → ...ptation - Code Example (OpenEvolve).ipynb b/...9_ Adaptation - Code Example (OpenEvolve) → ...ptation - Code Example (OpenEvolve).ipynb
diff --git a/... - Code Example (LangChain and LangGraph) → ...e Example (LangChain and LangGraph).ipynb b/... - Code Example (LangChain and LangGraph) → ...e Example (LangChain and LangGraph).ipynb
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		{"cells":[{"cell_type":"code","source":["import os\n","from langchain_openai import ChatOpenAI\n","from langchain_core.prompts import ChatPromptTemplate\n","from langchain_core.output_parsers import StrOutputParser\n","\n","# For better security, load environment variables from a .env file\n","# from dotenv import load_dotenv\n","# load_dotenv()\n","# Make sure your OPENAI_API_KEY is set in the .env file\n","\n","# Initialize the Language Model (using ChatOpenAI is recommended)\n","llm = ChatOpenAI(temperature=0)\n","\n","# --- Prompt 1: Extract Information ---\n","prompt_extract = ChatPromptTemplate.from_template(\n"," \"Extract the technical specifications from the following text:\\n\\n{text_input}\"\n",")\n","\n","# --- Prompt 2: Transform to JSON ---\n","prompt_transform = ChatPromptTemplate.from_template(\n"," \"Transform the following specifications into a JSON object with 'cpu', 'memory', and 'storage' as keys:\\n\\n{specifications}\"\n",")\n","\n","# --- Build the Chain using LCEL ---\n","# The StrOutputParser() converts the LLM's message output to a simple string.\n","extraction_chain = prompt_extract \| llm \| StrOutputParser()\n","\n","# The full chain passes the output of the extraction chain into the 'specifications'\n","# variable for the transformation prompt.\n","full_chain = (\n"," {\"specifications\": extraction_chain}\n"," \| prompt_transform\n"," \| llm\n"," \| StrOutputParser()\n",")\n","\n","# --- Run the Chain ---\n","input_text = \"The new laptop model features a 3.5 GHz octa-core processor, 16GB of RAM, and a 1TB NVMe SSD.\"\n","\n","# Execute the chain with the input text dictionary.\n","final_result = full_chain.invoke({\"text_input\": input_text})\n","\n","print(\"\\n--- Final JSON Output ---\")\n","print(final_result)"],"outputs":[],"execution_count":null,"metadata":{"id":"NhfdOggSqMrH"}}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}