diff --git a/.env.example b/.env.example
index 97ee9a2..0d44bfb 100644
--- a/.env.example
+++ b/.env.example
@@ -1,7 +1,7 @@
 TAVILY_API_KEY=...
 
 # To separate your traces from other application
-LANGSMITH_PROJECT=retrieval-agent
+LANGSMITH_PROJECT=react-agent
 
 # The following depend on your selected configuration
 
diff --git a/README.md b/README.md
index 7bd142d..f555403 100644
--- a/README.md
+++ b/README.md
@@ -113,6 +113,8 @@ You can find the latest (under construction) docs on [LangGraph](https://github.
 
 LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for more in-depth tracing and collaboration with teammates.
 
+[^1]: https://python.langchain.com/docs/concepts/#tools
+
 <!--
 Configuration auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
 {
diff --git a/src/react_agent/graph.py b/src/react_agent/graph.py
index 5af78c5..83848d4 100644
--- a/src/react_agent/graph.py
+++ b/src/react_agent/graph.py
@@ -125,3 +125,4 @@ def route_model_output(state: State) -> Literal["__end__", "tools"]:
     interrupt_before=[],  # Add node names here to update state before they're called
     interrupt_after=[],  # Add node names here to update state after they're called
 )
+graph.name = "ReAct Agent" # This customizes the name in LangSmith
\ No newline at end of file
diff --git a/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml b/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml
new file mode 100644
index 0000000..0ea32e3
--- /dev/null
+++ b/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml
@@ -0,0 +1,464 @@
+interactions:
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+      "tools": [{"name": "scrape_webpage", "description": "Scrape the given webpage
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+      "object", "properties": {"url": {"description": "The URL of the webpage to scrape.",
+      "type": "string"}, "instructions": {"description": "The instructions to give
+      to the scraper. An LLM will be used to respond using the instructions and the
+      scraped text.", "type": "string"}, "config": {"type": "object", "properties":
+      {"tags": {"type": "array", "items": {"type": "string"}}, "metadata": {"type":
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+      "string", "format": "uuid"}}}}, "required": ["url", "instructions", "config"]}},
+      {"name": "search", "description": "Search for general web results. This function
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+      comprehensive, accurate, and trusted results. It''s particularly useful\nfor
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+        Gola are the founders of LangChain. Who is the CEO of LangChain? Harrison
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+        is headquartered in San Francisco, CA. What is the size of LangChain? LangChain
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+        Chase - The AI Conference\",\"url\":\"https://aiconference.com/speakers/harrison-chase/\",\"content\":\"Harrison
+        Chase is the co-founder and CEO of LangChain, a company formed around the
+        open-source Python/Typescript packages that aim to make it easy to develop
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+        of machine learning models), led the ...\",\"score\":0.99951214,\"raw_content\":null},{\"title\":\"Harrison
+        Chase - Forbes\",\"url\":\"https://www.forbes.com/profile/harrison-chase/\",\"content\":\"Cofounder,
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+        caught instant attention for enabling anyone to build apps powered by large
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+        facilitate the transition from LCEL (LangChain Expression Language) prototypes
+        to production-ready applications.[5]\\nIntegrations[edit]\\nAs of March 2023,
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+        Microsoft Azure cloud storage; API wrappers for news, movie information, and
+        weather; Bash for summarization, syntax and semantics checking, and execution
+        of shell scripts; multiple web scraping subsystems and templates; few-shot
+        learning prompt generation support; finding and summarizing \\\"todo\\\" tasks
+        in code; Google Drive documents, spreadsheets, and presentations summarization,
+        extraction, and creation; Google Search and Microsoft Bing web search; OpenAI,
+        Anthropic, and Hugging Face language models; iFixit repair guides and wikis
+        search and summarization; MapReduce for question answering, combining documents,
+        and question generation; N-gram overlap scoring; PyPDF, pdfminer, fitz, and
+        pymupdf for PDF file text extraction and manipulation; Python and JavaScript
+        code generation, analysis, and debugging; Milvus vector database[6] to store
+        and retrieve vector embeddings; Weaviate vector database[7] to cache embedding
+        and data objects; Redis cache database storage; Python RequestsWrapper and
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+        Streamlit, including for logging; text mapping for k-nearest neighbors search;
+        time zone conversion and calendar operations; tracing and recording stack
+        symbols in threaded and asynchronous subprocess runs; and the Wolfram Alpha
+        website and SDK.[8] As a language model integration framework, LangChain's
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+        funding at a valuation of at least $200 million from venture firm Sequoia
+        Capital, a week after announcing a $10 million seed investment from Benchmark.[3][4]\\n
+        The project quickly garnered popularity, with improvements from hundreds of
+        contributors on GitHub, trending discussions on Twitter, lively activity on
+        the project's Discord server, many YouTube tutorials, and meetups in San Francisco
+        and London. As of April 2023, it can read from more than 50 document types
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+        | Company Overview & News - Forbes\",\"url\":\"https://www.forbes.com/companies/langchain/\",\"content\":\"LangChain.
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+        software that enables anyone to build apps powered by large language models
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+        Machine Learning Engineer at Robust Intelligence. LangChain Co-Founder and
+        CEO Jan 2023. Organization Name.\",\"score\":0.99505633,\"raw_content\":null},{\"title\":\"Key
+        Insights from Harrison Chase's Talk on Building Next-Level AI Agents\",\"url\":\"https://www.turingpost.com/p/harrison-chase-langchain-ai-agents\",\"content\":\"Harrison
+        Chase, founder of LangChain, shared insights on the evolution of AI agents
+        and their applications during Sequoia Capital's AI Ascent. ... Saves you a
+        lot of research time, plus gives a flashback to ML history and insights into
+        the future. Stay ahead alongside over 65,000 professionals from top AI labs,
+        ML startups, and enterprises ...\",\"score\":0.99392605,\"raw_content\":null},{\"title\":\"What
+        Is LangChain? - IBM\",\"url\":\"https://www.ibm.com/topics/langchain\",\"content\":\"Applications
+        made with LangChain provide great utility for a variety of use cases, from
+        straightforward question-answering and text generation tasks to more complex
+        solutions that use an LLM as a \u201Creasoning engine.\u201D\\nTrain, validate,
+        tune and deploy generative AI, foundation models and machine learning capabilities
+        with ease and build AI applications in a fraction of the time with a fraction
+        of the data.\\n When building a chain for an agent, inputs include:\\nDespite
+        their heralded power and versatility, LLMs have important limitations: namely,
+        a lack of up-to-date information, a lack of domain-specific expertise and
+        a general difficulty with math.\\nLangChain tools\_(link resides outside ibm.com)
+        are a set of functions that empower LangChain agents to interact with real-world
+        information in order to expand or improve the services it can provide. Launched
+        by Harrison Chase in October 2022, LangChain enjoyed a meteoric rise to prominence:
+        as of June 2023, it was the single fastest-growing open source project on
+        Github.1 Coinciding with the momentous launch of OpenAI\u2019s ChatGPT the
+        following month, LangChain has played a significant role in making generative
+        AI more accessible to enthusiasts in the wake of its widespread popularity.\\n
+        Reimagine how you work with\_AI: our diverse, global team of more than 20,000
+        AI\_experts can help you quickly and confidently\_design and scale AI and
+        automation across your\_business, working across our own IBM\_watsonx\_technology\_and
+        an open ecosystem of partners to deliver any\_AI model, on any cloud, guided
+        by ethics and trust.\\n While it\u2019s the GPT model that interprets the
+        user\u2019s input and composes a natural language response, it\u2019s the
+        application that (among other things) provides an interface for the user to
+        type and read and a UX design that governs the chatbot experience.\",\"score\":0.99306935,\"raw_content\":null},{\"title\":\"LangChain's
+        origin story | Basedash\",\"url\":\"https://www.basedash.com/blog/langchains-origin-story\",\"content\":\"USER
+        CRM\\nADMIN PANEL\\nSQL COMPOSER WITH AI\\nRelated posts\\nRelated posts\\nRelated
+        posts\\nMy 9 core Mac apps and utilities\\nTom Johnson\\nHow Supabase became
+        this generation\u2019s database\\nMax Musing\\nReport: The 2023 State of Databases\\nMax
+        Musing\\nBasedash on the main stage at Collision 2023\\nMax Musing\\nBasedash
+        raises $4.5M led by Matrix\\nMax Musing\\n6 Retool Alternatives for 2023 -
+        A Comprehensive Guide\\nJordan Chavis\\nSOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+        of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+        app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\xA9
+        2023 BaseDash Inc.\\nProudly carbon-neutral.\\n SOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+        of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+        app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\xA9
+        2023 BaseDash Inc.\\nProudly carbon-neutral.\\n SOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+        of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+        app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\xA9
+        2023 BaseDash Inc.\\nProudly carbon-neutral. About\\nFeatures\\nPricing\\nChangelog\\nBlog\\nDocs\\nLog
+        in\\nSign up\\nAbout\\nFeatures\\nPricing\\nLog in\\nSign up\\nLog in\\nSign
+        up\\nLangChain's origin story\\nMax Musing\\nFounder\\nThe admin panel that
+        you'll actually want to use. To do this, the LangSmith product allows developers
+        to see the inputs and outputs at each step of a model run and the exact sequence
+        of runs (debug), write tests to check if the response was intended behavior
+        (test), collect input/output examples to further refine the model (evaluate),
+        and log latency, token usage, and feedback (monitor).\\n\",\"score\":0.98208266,\"raw_content\":null},{\"title\":\"The
+        Point of LangChain \u2014 with Harrison Chase of LangChain\",\"url\":\"https://www.latent.space/p/langchain\",\"content\":\"And
+        so you can do a lot of things like reflection and kind of like making sure
+        that you're on the right track and really put more safeguards and thinking
+        about these agents as opposed to relying on like chas and interface, like
+        the bot we have that's on GitHub answering questions on the issues, I think
+        probably gives better answers than the bots that we have that are on chat
+        on the website. [00:50:32]\\nHarrison: And then between kind of like allowing
+        for, I think one helpful thing that we did in terms of like distinguishing
+        between basically the base interfaces and then more complex stuff is part
+        of the separation around the docs is there's like the components piece, which
+        has the model IO, the retrieval, the agents, the callbacks, things like that.
+        And then like, I know a lot of people are doing this, but like a personal
+        assistant for like managing like email calendar, basic stuff, which I think
+        is, I think that's like a fantastic application for these like agent like
+        things, because if you think about personal assistants today, you usually
+        interact, I don't have one, but I'm told you interact with them over email.
+        Show Notes\\nLangChain\\nLangChain\u2019s Berkshire Hathaway Homepage\\nAbstractions
+        tweet\\nLangSmith\\nLangSmith Cookbooks repo\\nLangChain Retrieval blog\\nEvaluating
+        CSV Question/Answering blog and YouTube\\nMultiOn Partner blog\\nHarvard Sports
+        Analytics Collective\\nEvaluating RAG Webinar\\nawesome-langchain:\\nLLM Math
+        Chain\\nSelf-Ask\\nLangChain Hub UI\\n\u201CLangChain is Pointless\u201D\\nHarrison\u2019s
+        links\\nsports - estimating player compatibility in the NBA\\nearly interest
+        in prompt injections\\nGitHub\\nTwitter\\nTimestamps\\n[00:00:00] Introduction\\n[00:00:48]
+        Harrison's background and how sports led him into ML\\n[00:04:54] Memory (for
+        long running chats, whether a simple Buffer, Knowledge Graph, Summary, or
+        Vector Store)\\nUse-Cases: compositions of Components\\nChains: combining
+        a PromptTemplate, LLM Model and optional OutputParser\\nwith Router, Sequential,
+        and Transform Chains for advanced usecases\\nsavable, sharable schemas that
+        can be loaded from LangChainHub\\nAgents: a chain that has access to a suite
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+        engine to determine which actions to take and in which order.\",\"score\":0.8589554,\"raw_content\":null}],\"response_time\":1.84}"
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+      Harrison Chase and Ankush Gola are the founders of LangChain. Who is the CEO
+      of LangChain? Harrison Chase is the CEO of LangChain. Where is LangChain headquartered?
+      LangChain is headquartered in San Francisco, CA. What is the size of LangChain?
+      LangChain has 43 total employees ...\"}, {\"url\": \"https://aiconference.com/speakers/harrison-chase/\",
+      \"content\": \"Harrison Chase is the co-founder and CEO of LangChain, a company
+      formed around the open-source Python/Typescript packages that aim to make it
+      easy to develop Language Model applications. Prior to starting LangChain, he
+      led the ML team at Robust Intelligence (an MLOps company focused on testing
+      and validation of machine learning models), led the ...\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\",
+      \"content\": \"Cofounder, LangChain. Harrison Chase only cofounded LangChain
+      in late 2022, but the company caught instant attention for enabling anyone to
+      build apps powered by large language models like GPT-4 ...\"}, {\"url\": \"https://en.wikipedia.org/wiki/LangChain\",
+      \"content\": \"In October 2023 LangChain introduced LangServe, a deployment
+      tool designed to facilitate the transition from LCEL (LangChain Expression Language)
+      prototypes to production-ready applications.[5]\\nIntegrations[edit]\\nAs of
+      March 2023, LangChain included integrations with systems including Amazon, Google,
+      and Microsoft Azure cloud storage; API wrappers for news, movie information,
+      and weather; Bash for summarization, syntax and semantics checking, and execution
+      of shell scripts; multiple web scraping subsystems and templates; few-shot learning
+      prompt generation support; finding and summarizing \\\"todo\\\" tasks in code;
+      Google Drive documents, spreadsheets, and presentations summarization, extraction,
+      and creation; Google Search and Microsoft Bing web search; OpenAI, Anthropic,
+      and Hugging Face language models; iFixit repair guides and wikis search and
+      summarization; MapReduce for question answering, combining documents, and question
+      generation; N-gram overlap scoring; PyPDF, pdfminer, fitz, and pymupdf for PDF
+      file text extraction and manipulation; Python and JavaScript code generation,
+      analysis, and debugging; Milvus vector database[6] to store and retrieve vector
+      embeddings; Weaviate vector database[7] to cache embedding and data objects;
+      Redis cache database storage; Python RequestsWrapper and other methods for API
+      requests; SQL and NoSQL databases including JSON support; Streamlit, including
+      for logging; text mapping for k-nearest neighbors search; time zone conversion
+      and calendar operations; tracing and recording stack symbols in threaded and
+      asynchronous subprocess runs; and the Wolfram Alpha website and SDK.[8] As a
+      language model integration framework, LangChain''s use-cases largely overlap
+      with those of language models in general, including document analysis and summarization,
+      chatbots, and code analysis.[2]\\nHistory[edit]\\nLangChain was launched in
+      October 2022 as an open source project by Harrison Chase, while working at machine
+      learning startup Robust Intelligence. In April 2023, LangChain had incorporated
+      and the new startup raised over $20 million in funding at a valuation of at
+      least $200 million from venture firm Sequoia Capital, a week after announcing
+      a $10 million seed investment from Benchmark.[3][4]\\n The project quickly garnered
+      popularity, with improvements from hundreds of contributors on GitHub, trending
+      discussions on Twitter, lively activity on the project''s Discord server, many
+      YouTube tutorials, and meetups in San Francisco and London. As of April 2023,
+      it can read from more than 50 document types and data sources.[9]\\nReferences[edit]\\nExternal
+      links[edit]\"}, {\"url\": \"https://www.forbes.com/companies/langchain/\", \"content\":
+      \"LangChain. Founded in late 2022, LangChain was an instant hit in Silicon Valley
+      for its software that enables anyone to build apps powered by large language
+      models like GPT-4 in as little as two ...\"}, {\"url\": \"https://www.crunchbase.com/person/harrison-chase\",
+      \"content\": \"Number of Current Jobs 1. Number of Past Jobs 1. Harrison Chase
+      is the Co-Founder and CEO at LangChain. Additionally, Harrison Chase has had
+      1 past job as the Machine Learning Engineer at Robust Intelligence. LangChain
+      Co-Founder and CEO Jan 2023. Organization Name.\"}, {\"url\": \"https://www.turingpost.com/p/harrison-chase-langchain-ai-agents\",
+      \"content\": \"Harrison Chase, founder of LangChain, shared insights on the
+      evolution of AI agents and their applications during Sequoia Capital''s AI Ascent.
+      ... Saves you a lot of research time, plus gives a flashback to ML history and
+      insights into the future. Stay ahead alongside over 65,000 professionals from
+      top AI labs, ML startups, and enterprises ...\"}, {\"url\": \"https://www.ibm.com/topics/langchain\",
+      \"content\": \"Applications made with LangChain provide great utility for a
+      variety of use cases, from straightforward question-answering and text generation
+      tasks to more complex solutions that use an LLM as a \u201creasoning engine.\u201d\\nTrain,
+      validate, tune and deploy generative AI, foundation models and machine learning
+      capabilities with ease and build AI applications in a fraction of the time with
+      a fraction of the data.\\n When building a chain for an agent, inputs include:\\nDespite
+      their heralded power and versatility, LLMs have important limitations: namely,
+      a lack of up-to-date information, a lack of domain-specific expertise and a
+      general difficulty with math.\\nLangChain tools\u00a0(link resides outside ibm.com)
+      are a set of functions that empower LangChain agents to interact with real-world
+      information in order to expand or improve the services it can provide. Launched
+      by Harrison Chase in October 2022, LangChain enjoyed a meteoric rise to prominence:
+      as of June 2023, it was the single fastest-growing open source project on Github.1
+      Coinciding with the momentous launch of OpenAI\u2019s ChatGPT the following
+      month, LangChain has played a significant role in making generative AI more
+      accessible to enthusiasts in the wake of its widespread popularity.\\n Reimagine
+      how you work with\u00a0AI: our diverse, global team of more than 20,000 AI\u00a0experts
+      can help you quickly and confidently\u00a0design and scale AI and automation
+      across your\u00a0business, working across our own IBM\u00a0watsonx\u00a0technology\u00a0and
+      an open ecosystem of partners to deliver any\u00a0AI model, on any cloud, guided
+      by ethics and trust.\\n While it\u2019s the GPT model that interprets the user\u2019s
+      input and composes a natural language response, it\u2019s the application that
+      (among other things) provides an interface for the user to type and read and
+      a UX design that governs the chatbot experience.\"}, {\"url\": \"https://www.basedash.com/blog/langchains-origin-story\",
+      \"content\": \"USER CRM\\nADMIN PANEL\\nSQL COMPOSER WITH AI\\nRelated posts\\nRelated
+      posts\\nRelated posts\\nMy 9 core Mac apps and utilities\\nTom Johnson\\nHow
+      Supabase became this generation\u2019s database\\nMax Musing\\nReport: The 2023
+      State of Databases\\nMax Musing\\nBasedash on the main stage at Collision 2023\\nMax
+      Musing\\nBasedash raises $4.5M led by Matrix\\nMax Musing\\n6 Retool Alternatives
+      for 2023 - A Comprehensive Guide\\nJordan Chavis\\nSOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+      of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+      app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\u00a9
+      2023 BaseDash Inc.\\nProudly carbon-neutral.\\n SOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+      of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+      app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\u00a9
+      2023 BaseDash Inc.\\nProudly carbon-neutral.\\n SOC IIType 2 Certified\\nCompany\\nAbout\\nCareers\\nTerms
+      of service\\nPrivacy policy\\nContact us\\nBlog\\nBrand\\nSlack community\\nSitemap\\nProduct\\nPricing\\nIntegrations\\nFeedback\\nChangelog\\nDocs\\nDownload
+      app\\nStatus\\nFeatures\\nViews\\nQueries\\nActions\\nSecurity\\nPower features\\n\u00a9
+      2023 BaseDash Inc.\\nProudly carbon-neutral. About\\nFeatures\\nPricing\\nChangelog\\nBlog\\nDocs\\nLog
+      in\\nSign up\\nAbout\\nFeatures\\nPricing\\nLog in\\nSign up\\nLog in\\nSign
+      up\\nLangChain''s origin story\\nMax Musing\\nFounder\\nThe admin panel that
+      you''ll actually want to use. To do this, the LangSmith product allows developers
+      to see the inputs and outputs at each step of a model run and the exact sequence
+      of runs (debug), write tests to check if the response was intended behavior
+      (test), collect input/output examples to further refine the model (evaluate),
+      and log latency, token usage, and feedback (monitor).\\n\"}, {\"url\": \"https://www.latent.space/p/langchain\",
+      \"content\": \"And so you can do a lot of things like reflection and kind of
+      like making sure that you''re on the right track and really put more safeguards
+      and thinking about these agents as opposed to relying on like chas and interface,
+      like the bot we have that''s on GitHub answering questions on the issues, I
+      think probably gives better answers than the bots that we have that are on chat
+      on the website. [00:50:32]\\nHarrison: And then between kind of like allowing
+      for, I think one helpful thing that we did in terms of like distinguishing between
+      basically the base interfaces and then more complex stuff is part of the separation
+      around the docs is there''s like the components piece, which has the model IO,
+      the retrieval, the agents, the callbacks, things like that. And then like, I
+      know a lot of people are doing this, but like a personal assistant for like
+      managing like email calendar, basic stuff, which I think is, I think that''s
+      like a fantastic application for these like agent like things, because if you
+      think about personal assistants today, you usually interact, I don''t have one,
+      but I''m told you interact with them over email. Show Notes\\nLangChain\\nLangChain\u2019s
+      Berkshire Hathaway Homepage\\nAbstractions tweet\\nLangSmith\\nLangSmith Cookbooks
+      repo\\nLangChain Retrieval blog\\nEvaluating CSV Question/Answering blog and
+      YouTube\\nMultiOn Partner blog\\nHarvard Sports Analytics Collective\\nEvaluating
+      RAG Webinar\\nawesome-langchain:\\nLLM Math Chain\\nSelf-Ask\\nLangChain Hub
+      UI\\n\u201cLangChain is Pointless\u201d\\nHarrison\u2019s links\\nsports - estimating
+      player compatibility in the NBA\\nearly interest in prompt injections\\nGitHub\\nTwitter\\nTimestamps\\n[00:00:00]
+      Introduction\\n[00:00:48] Harrison''s background and how sports led him into
+      ML\\n[00:04:54] Memory (for long running chats, whether a simple Buffer, Knowledge
+      Graph, Summary, or Vector Store)\\nUse-Cases: compositions of Components\\nChains:
+      combining a PromptTemplate, LLM Model and optional OutputParser\\nwith Router,
+      Sequential, and Transform Chains for advanced usecases\\nsavable, sharable schemas
+      that can be loaded from LangChainHub\\nAgents: a chain that has access to a
+      suite of tools, of nondeterministic8 length because the LLM is used as a reasoning
+      engine to determine which actions to take and in which order.\"}]", "tool_use_id":
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