diff --git a/.github/workflows/integration-tests.yml b/.github/workflows/integration-tests.yml index 36b8d18..f09af43 100644 --- a/.github/workflows/integration-tests.yml +++ b/.github/workflows/integration-tests.yml @@ -39,5 +39,6 @@ jobs: TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }} LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }} LANGSMITH_TRACING: true + LANGSMITH_TEST_CACHE: tests/cassettes run: | uv run pytest tests/integration_tests diff --git a/src/react_agent/graph.py b/src/react_agent/graph.py index 5940fd7..94b5531 100644 --- a/src/react_agent/graph.py +++ b/src/react_agent/graph.py @@ -7,7 +7,6 @@ from typing import Dict, List, Literal, cast from langchain_core.messages import AIMessage -from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import RunnableConfig from langgraph.graph import StateGraph from langgraph.prebuilt import ToolNode @@ -36,25 +35,21 @@ async def call_model( """ configuration = Configuration.from_runnable_config(config) - # Create a prompt template. Customize this to change the agent's behavior. - prompt = ChatPromptTemplate.from_messages( - [("system", configuration.system_prompt), ("placeholder", "{messages}")] - ) - # Initialize the model with tool binding. Change the model or add more tools here. model = load_chat_model(configuration.model).bind_tools(TOOLS) - # Prepare the input for the model, including the current system time - message_value = await prompt.ainvoke( - { - "messages": state.messages, - "system_time": datetime.now(tz=timezone.utc).isoformat(), - }, - config, + # Format the system prompt. Customize this to change the agent's behavior. + system_message = configuration.system_prompt.format( + system_time=datetime.now(tz=timezone.utc).isoformat() ) # Get the model's response - response = cast(AIMessage, await model.ainvoke(message_value, config)) + response = cast( + AIMessage, + await model.ainvoke( + [{"role": "system", "content": system_message}, *state.messages], config + ), + ) # Handle the case when it's the last step and the model still wants to use a tool if state.is_last_step and response.tool_calls: @@ -73,15 +68,15 @@ async def call_model( # Define a new graph -workflow = StateGraph(State, input=InputState, config_schema=Configuration) +builder = StateGraph(State, input=InputState, config_schema=Configuration) # Define the two nodes we will cycle between -workflow.add_node(call_model) -workflow.add_node("tools", ToolNode(TOOLS)) +builder.add_node(call_model) +builder.add_node("tools", ToolNode(TOOLS)) # Set the entrypoint as `call_model` # This means that this node is the first one called -workflow.add_edge("__start__", "call_model") +builder.add_edge("__start__", "call_model") def route_model_output(state: State) -> Literal["__end__", "tools"]: @@ -108,7 +103,7 @@ def route_model_output(state: State) -> Literal["__end__", "tools"]: # Add a conditional edge to determine the next step after `call_model` -workflow.add_conditional_edges( +builder.add_conditional_edges( "call_model", # After call_model finishes running, the next node(s) are scheduled # based on the output from route_model_output @@ -117,11 +112,11 @@ def route_model_output(state: State) -> Literal["__end__", "tools"]: # Add a normal edge from `tools` to `call_model` # This creates a cycle: after using tools, we always return to the model -workflow.add_edge("tools", "call_model") +builder.add_edge("tools", "call_model") -# Compile the workflow into an executable graph +# Compile the builder into an executable graph # You can customize this by adding interrupt points for state updates -graph = workflow.compile( +graph = builder.compile( 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 ) diff --git a/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml b/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml deleted file mode 100644 index 0ea32e3..0000000 --- a/tests/casettes/103fe67e-a040-4e4e-aadb-b20a7057f904.yaml +++ /dev/null @@ -1,464 +0,0 @@ -interactions: -- request: - body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the - founder of LangChain?"}], "model": "claude-3-5-sonnet-20240620", "system": "You - are a helpful AI assistant.\n\nSystem time: 2024-09-16T12:24:33.011280+00:00", - "tools": [{"name": "scrape_webpage", "description": "Scrape the given webpage - and return a summary of text based on the instructions.", "input_schema": {"type": - "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": - "object"}, "callbacks": {"anyOf": [{"type": "array", "items": {}}, {}]}, "run_name": - {"type": "string"}, "max_concurrency": {"type": "integer"}, "recursion_limit": - {"type": "integer"}, "configurable": {"type": "object"}, "run_id": {"type": - "string", "format": "uuid"}}}}, "required": ["url", "instructions", "config"]}}, - {"name": "search", "description": "Search for general web results. This function - performs a search using the Tavily search engine, which is designed\nto provide - comprehensive, accurate, and trusted results. It''s particularly useful\nfor - answering questions about current events.", "input_schema": {"type": "object", - "properties": {"query": {"type": "string"}}, "required": ["query"]}}]}' - headers: {} - method: POST - uri: https://api.anthropic.com/v1/messages - response: - body: - string: !!binary | - H4sIAAAAAAAAA3RRwY7TQAz9FcsXLtNVtpSKzgV1ewC63UqLVruoCEVD4jSBxG7HHtFS5d9XyQoB - B06Wn/3s9+wLNiV67HSfZ9dzXq/Xnz8lXt53y9Pm4Xa5vdut0aGdDzR0kWrYEzqM0g5AUG3UAhs6 - 7KSkFj0WbUglTV5P3kxUmMkm02w6y+bTDB0WwkZs6L9cfg81Og30MXh8EAisPymC1Y3CMZFaIwzh - myQDqwkqSVxSBKlgE3i/qkPDDj6+altgohJMQCnEooZKIhQpRmKDwCWEokgxGEHDlcQuDIOvYEMG - HUEpYHWwkXSWdIW9+yNRpM2TDsbHaw15yrPr1Wq12374VTy9vT3d8M32fbV4/B7RIYdu4L3oGFh8 - SIb+gsdE8Ywen2qBRv/r5x32/VeHanLIIwUV/lfFWFA6JuKC0HNqW4dp/I2/vGzLTX4QK/r5YuZQ - kv2NLaZ9/wwAAP//AwAoDYjV+gEAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 8c40d5f83851985e-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 16 Sep 2024 12:24:53 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - X-Robots-Tag: - - none - anthropic-ratelimit-requests-limit: - - '4000' - anthropic-ratelimit-requests-remaining: - - '3999' - anthropic-ratelimit-requests-reset: - - '2024-09-16T12:24:54Z' - anthropic-ratelimit-tokens-limit: - - '400000' - anthropic-ratelimit-tokens-remaining: - - '400000' - anthropic-ratelimit-tokens-reset: - - '2024-09-16T12:24:53Z' - request-id: - - req_01Dz6cSGBZ25kTSQUUSNk2zs - via: - - 1.1 google - x-cloud-trace-context: - - ada7375721ba3518afe0c80850b9daaa - status: - code: 200 - message: OK -- request: - body: null - headers: {} - method: POST - uri: https://api.tavily.com/search - response: - body: - string: "{\"query\":\"Who is the founder of LangChain?\",\"follow_up_questions\":null,\"answer\":null,\"images\":[],\"results\":[{\"title\":\"LangChain - Company Profile 2024: Valuation, Funding & Investors - PitchBook\",\"url\":\"https://pitchbook.com/profiles/company/522935-92\",\"content\":\"LangChain - was founded in 2022. Who is the founder of LangChain? 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 ...\",\"score\":0.9997695,\"raw_content\":null},{\"title\":\"Harrison - 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 - 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 ...\",\"score\":0.99951214,\"raw_content\":null},{\"title\":\"Harrison - Chase - Forbes\",\"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 ...\",\"score\":0.99924165,\"raw_content\":null},{\"title\":\"LangChain - - Wikipedia\",\"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]\",\"score\":0.9964204,\"raw_content\":null},{\"title\":\"LangChain - | Company Overview & News - Forbes\",\"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 ...\",\"score\":0.9964204,\"raw_content\":null},{\"title\":\"Harrison - Chase - Co-Founder and CEO @ LangChain - Crunchbase\",\"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.\",\"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 - of tools, of nondeterministic8 length because the LLM is used as a reasoning - engine to determine which actions to take and in which order.\",\"score\":0.8589554,\"raw_content\":null}],\"response_time\":1.84}" - headers: - Connection: - - keep-alive - Content-Length: - - '12187' - Content-Type: - - application/json - Date: - - Mon, 16 Sep 2024 12:24:55 GMT - Server: - - nginx - status: - code: 200 - message: OK -- request: - body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the - founder of LangChain?"}, {"role": "assistant", "content": [{"text": "To answer - this question about the founder of LangChain, I''ll need to search for current - and accurate information. Let me do that for you.", "type": "text"}, {"type": - "tool_use", "name": "search", "input": {"query": "Who is the founder of LangChain?"}, - "id": "toolu_01CCCZNHzcW8KxBnBNGf9Vjr"}]}, {"role": "user", "content": [{"type": - "tool_result", "content": "[{\"url\": \"https://pitchbook.com/profiles/company/522935-92\", - \"content\": \"LangChain was founded in 2022. Who is the founder of LangChain? - 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": - "toolu_01CCCZNHzcW8KxBnBNGf9Vjr", "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", - "system": "You are a helpful AI assistant.\n\nSystem time: 2024-09-16T12:24:37.857496+00:00", - "tools": [{"name": "scrape_webpage", "description": "Scrape the given webpage - and return a summary of text based on the instructions.", "input_schema": {"type": - "object", "properties": {"url": {"description": "The URL of the webpage to scrape.", - "type": "string"}, "instructions": {"description": "The instructions to give - to the scraper. 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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","score":0.99967754,"raw_content":null},{"title":"Harrison + 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 + 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","score":0.9995908,"raw_content":null},{"title":"Harrison + Chase | TEDAI San Francisco","url":"https://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/","content":"Harrison + Chase, a Harvard graduate in statistics and computer science, co-founded LangChain + to streamline the development of Language Model applications with open-source + Python/Typescript packages. Chase''s experience includes heading the Machine + Learning team at Robust Intelligence, focusing on the testing and validation + of machine learning models, and leading the entity linking team at Kensho","score":0.9994746,"raw_content":null},{"title":"Harrison + Chase, Author at TechCrunch","url":"https://techcrunch.com/author/harrison-chase/","content":"Harrison + Chase is the CEO and co-founder of LangChain, a company formed around the + open source Python/Typescript packages that aim to make it easy to develop + Language Model applications","score":0.9994185,"raw_content":null},{"title":"LangChain''s + Harrison Chase on Building the Orchestration Layer for AI ...","url":"https://www.sequoiacap.com/podcast/training-data-harrison-chase/","content":"Sonya + Huang: Hi, and welcome to training data. We have with us today Harrison Chase, + founder and CEO of LangChain. Harrison is a legend in the agent ecosystem, + as the product visionary who first connected LLMs with tools and actions. + And LangChain is the most popular agent building framework in the AI space.","score":0.99876,"raw_content":null},{"title":"Harrison + Chase, LangChain CEO - Interview - YouTube","url":"https://www.youtube.com/watch?v=7D8bw_4hTdo","content":"Join + us for an insightful interview with Harrison Chase, the CEO and co-founder + of Langchain, as he provides a comprehensive overview of Langchain''s innovati","score":0.99854493,"raw_content":null},{"title":"Harrison + Chase - Forbes","url":"https://www.forbes.com/profile/harrison-chase/","content":"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 in as little as two","score":0.9977743,"raw_content":null},{"title":"LangChain + - Wikipedia","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]","score":0.99694854,"raw_content":null},{"title":"Harrison + Chase - CEO of LangChain - Analytics India Magazine","url":"https://analyticsindiamag.com/people/harrison-chase/","content":"By + AIM The dynamic co-founder and CEO of LangChain, Harrison Chase is simplifying + the creation of applications powered by LLMs. With a background in statistics + and computer science from Harvard University, Chase has carved a niche in + the AI landscape. AIM Brand Solutions, a marketing division within AIM, specializes + in creating diverse content such as documentaries, public artworks, podcasts, + videos, articles, and more to effectively tell compelling stories. AIM Research + produces a series of annual reports on AI & Data Science covering every aspect + of the industry. Discover how Cypher 2024 expands to the USA, bridging AI + innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms","score":0.99491996,"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 73,000 professionals from top AI + labs, ML startups, and enterprises","score":0.9941801,"raw_content":null}],"response_time":2.54}' + headers: + Connection: + - keep-alive + Content-Length: + - '7474' + Content-Type: + - application/json + Date: + - Wed, 13 Nov 2024 23:51:34 GMT + Server: + - nginx + status: + code: 200 + message: OK +- request: + body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the + founder of LangChain?"}, {"role": "assistant", "content": [{"text": "To answer + your question about the founder of LangChain, I''ll need to search for the most + up-to-date information. Let me do that for you.", "type": "text"}, {"type": + "tool_use", "name": "search", "input": {"query": "founder of LangChain"}, "id": + "toolu_01BqD5W1PjJea5XEEFryhmGg"}]}, {"role": "user", "content": [{"type": "tool_result", + "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", \"content\": + \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "Who is the founder + of LangChain?"}, "id": "toolu_01Ay6FAm67qxRvHMctedfsdo"}]}, {"role": "user", + "content": [{"type": "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "founder of LangChain"}, + "id": "toolu_01MeqRWpHv7FACwFxfMVRbx6"}]}, {"role": "user", "content": [{"type": + "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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 73,000 professionals from top AI + labs, ML startups, and enterprises\"}]", "tool_use_id": "toolu_01MeqRWpHv7FACwFxfMVRbx6", + "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.\n\nSystem time: 2024-11-13T23:51:58.213993+00:00", + "tools": [{"name": "search", "description": "Search for general web results. + This function performs a search using the Tavily search engine, which is designed\nto + provide comprehensive, accurate, and trusted results. 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It''s particularly useful\nfor + answering questions about current events.", "input_schema": {"properties": {"query": + {"type": "string"}}, "required": ["query"], "type": "object"}}]}' + headers: {} + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SRXWvbUAyG/4rQzW6Oi5O2SeObQgspgzBW2tLBGObUVuJDbSk50mkSgv/7sLPR + 7Uro4331IJ0w1Fhgp5syn9w8r252+7iY3YfV9+nbkibd+8ccHdpxS8MUqfoNocMo7VDwqkHNs6HD + TmpqscCq9amm7DK7zlSYybJpPr3KZ9McHVbCRmxY/Dz9NTU6DPIxFPgs4Fn3FMGaoLBLpBaEwVdV + it6oPTr4+qVtgYlqMAElH6sG1jIoCDpRg7TNTLLaG0HgtcTOnz3eJBmsPG/uGx8YPNcQTGEtiWuK + F7Aig46gFrDG2+h5lHSBvfukFWnLpMMNxsMNeSrzyeQ1/rh7OsQFx2931/v54+HhZblEh+y7QXfG + HFS8TYbFCXeJ4hELfG0Ego7wf0BA1p+Ut9j3vxyqybaM5FX4f4qxobRLxBVhwaltHabxTcXpvK00 + eSdWLK4uZw4l2b+1xbzvfwMAAP//AwB9NM36BQIAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8e22ae2f5dec4cb6-PHL + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 13 Nov 2024 23:53:20 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2024-11-13T23:53:18Z' + anthropic-ratelimit-tokens-limit: + - '400000' + anthropic-ratelimit-tokens-remaining: + - '400000' + anthropic-ratelimit-tokens-reset: + - '2024-11-13T23:53:20Z' + request-id: + - req_01DsVqmPigsQsHqctV3yYFQ5 + via: + - 1.1 google + status: + code: 200 + message: OK +- request: + body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the + founder of LangChain?"}, {"role": "assistant", "content": [{"text": "To answer + this question accurately, I''ll need to search for the most up-to-date information + about LangChain and its founder. Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "Who is the founder + of LangChain?"}, "id": "toolu_011WrXBSxr9nrNB5w7QxGUFF"}]}, {"role": "user", + "content": [{"type": "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "Who is the founder + of LangChain?"}, "id": "toolu_015FjoxY6gwbbAHrqbYBTxzy"}]}, {"role": "user", + "content": [{"type": "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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 73,000 professionals from top AI + labs, ML startups, and enterprises\"}]", "tool_use_id": "toolu_015FjoxY6gwbbAHrqbYBTxzy", + "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.\n\nSystem time: 2024-11-13T23:53:13.741829+00:00", + "tools": [{"name": "search", "description": "Search for general web results. + This function performs a search using the Tavily search engine, which is designed\nto + provide comprehensive, accurate, and trusted results. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "founder of LangChain"}, + "id": "toolu_014sKkCQPRVMPXGMJTGu5YSm"}]}, {"role": "user", "content": [{"type": + "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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 73,000 professionals from top AI + labs, ML startups, and enterprises\"}]", "tool_use_id": "toolu_014sKkCQPRVMPXGMJTGu5YSm", + "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.\n\nSystem time: 2024-11-13T23:54:07.180606+00:00", + "tools": [{"name": "search", "description": "Search for general web results. + This function performs a search using the Tavily search engine, which is designed\nto + provide comprehensive, accurate, and trusted results. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "Who is the founder + of LangChain?"}, "id": "toolu_01Se5dFjhZBgdHVD1SR3h2rY"}]}, {"role": "user", + "content": [{"type": "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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. 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Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "founder of LangChain"}, + "id": "toolu_01FySBXYTcATdcR8oqqxgfmw"}]}, {"role": "user", "content": [{"type": + "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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 73,000 professionals from top AI + labs, ML startups, and enterprises\"}]", "tool_use_id": "toolu_01FySBXYTcATdcR8oqqxgfmw", + "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.\n\nSystem time: 2024-11-13T23:54:56.977251+00:00", + "tools": [{"name": "search", "description": "Search for general web results. + This function performs a search using the Tavily search engine, which is designed\nto + provide comprehensive, accurate, and trusted results. It''s particularly useful\nfor + answering questions about current events.", "input_schema": {"properties": {"query": + {"type": "string"}}, "required": ["query"], "type": "object"}}]}' + headers: {} + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAAA3RVbW/bRgz+K4RQYBsge4nTppu/tdnQZEnQbnWHDesQ0CdaYn3iXY48p1rR/z6c + bDd2h30yJB3Jh8/L+VPFTTWvem3vTk6vf/1w+ePpu9D8IYvww0eJv5xd/35d1ZUNkcopUsWWqrpK + wZcXqMpqKFbVVR8a8tW8ch5zQ5OzybOJBhGyyexk9vTkfHZS1ZULYiRWzf/6tG9q9LGUjz/z6iUq + NRAErCNQwuQ6SKTZm9ZwBQ4FYgobbgiGkOGBrQOWVUg9GgcBXIZsY/EqZGkoQVjBDUp70SHL/L28 + l8X/fARWuMSUWIPARYdKU1gEWBL0IRHERI6VauionCwjXJjsG6E0cPHz66OGU7ikRICJQENPsKYB + YmAx3cE8njb2OIZ6Ov36zJeRzSFwAY9GMDuZzaalbjY9XgvBhT6iDFCYogYwlSYQIslEQ06O4M1g + XZDvF0Okty5xNIjo1thS2RUNkHuwAD2uCdiAUIfy3NCGfIjjvIwtwW3xAWCMnt2oiY6QzqbwJnFI + pUYNk7G0jyDrr/acvxcAmMANNSPTtzdghD2gwW9hmdXgSoy855bEUQ0ocHvzOurBni7vnUQ6Div0 + btBzs3VKWEGPrmMh8IRJypHRwwXv0XASYxvAs6zLoT2QaxLtwrjc0+lOng4L2Ut063bLMEvZ1liN + nY4QCsJslEAdF/CwSqEv628wNfBOeENJ2Yax8bNDIe8zu7UfoEUWaiCGmD2mAo23eXlxVbr3WdiG + epuNErjEyzwKsR3VZWkSNVoY2KlHSQtTr9gu87IGdMYbgobVZdWxMggsHthsZ/WfWF1ITT0+SO4p + hazwZ8iLvCSwbCEx+q3y51O4EngRE/vi0LP6yLkupBgSWjFl4W70Ro5j44RcNFRuhVfsUAxWWRqW + du+P1xtK8GR2Aj17X1Rl2R8pEmERPH/RG61IrVYqHktGUjYklhPBilMPb+k+B0a4wMiGfu+HRccK + DnuCD8WBCA9Ea8DVlhQJWdw4F56cPnZXouKCDan1VBYo016SuK7HtB4Jev6flLNCIhda4X/2vJTL + Y8VtwfioNralJbmggxr1NcQSLFds4cesF/2F3C5sqaWvcqrw7c3NrX63NYuF4LcmLQ7YJ/cgpNu7 + 7hjsN1pIbShpx7EeE7AkV+473FsUVgl7eghpPWJaZvZbhQ4uCYjhgRI1sBzAj0j9Huk2leB5TfDq + zWLytAYSXPrS4sDAFsAlKvfgi6vJvhvGqNv7m1DZD+N2uyBNq89/15VaiHeJUINU84qkubOcpNp9 + ULrPJaXVXLL3dZXHP8D5p4olZruzsCbRaj47eX5eVyHb4cuz5+efP/8LAAD//wMAjIY6NGEHAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8e22b178d9d04cb4-PHL + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 13 Nov 2024 23:55:39 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2024-11-13T23:55:32Z' + anthropic-ratelimit-tokens-limit: + - '400000' + anthropic-ratelimit-tokens-remaining: + - '400000' + anthropic-ratelimit-tokens-reset: + - '2024-11-13T23:55:39Z' + request-id: + - req_015HcqrgirHzeLfD6UpmyE4r + via: + - 1.1 google + status: + code: 200 + message: OK +- request: + body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the + founder of LangChain?"}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.", "tools": [{"name": "search", "description": "Search + for general web results. This function performs a search using the Tavily search + engine, which is designed\nto provide comprehensive, accurate, and trusted results. + It''s particularly useful\nfor answering questions about current events.", "input_schema": + {"properties": {"query": {"type": "string"}}, "required": ["query"], "type": + "object"}}]}' + headers: {} + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SR3WrcQAyFX0Xopjfj4HWzKZm7JrTQsimhBAIpxcza8nqoLe2ONLRm8bsXe1vS + Xgn9nKMP6YyxRY+jHupy8/jxOcfbB9me7qqc08uXd81Ee3Ro05GWKVINB0KHSYalEFSjWmBDh6O0 + NKDHZgi5peJtsS1UmMmKqqyuy5uqRIeNsBEb+m/nv6ZGvxb5Gjw+CQTWn5TA+qhwyqQWhSE0TU7B + aJgcfHozDMBELZiAUkhND50sCoJR1CAfC5OiDUYQuZM0hovHXrLBLvDhvg+RIXAL0RQ6ydxSuoId + GYwErYD1wVbPSfIVzu6VVmSosy43WA+35LkuN7v3U5zuuj1/eHmi/ePnr4ftw31ChxzGRXfBXFR8 + zIb+jKdMaUKPz71A1BX+DwhI90qJ8/zdoZoc60RBhf+HWBtKp0zcEHrOw+Awr1/y58uy2uQHsaK/ + 3lQOJdu/tdubef4NAAD//wMAEAehhwQCAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8e22b64a18a54caf-PHL + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 13 Nov 2024 23:58:52 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2024-11-13T23:58:49Z' + anthropic-ratelimit-tokens-limit: + - '400000' + anthropic-ratelimit-tokens-remaining: + - '400000' + anthropic-ratelimit-tokens-reset: + - '2024-11-13T23:58:52Z' + request-id: + - req_01JfEnoQAvmWG3PFoZTmVtmb + via: + - 1.1 google + status: + code: 200 + message: OK +- request: + body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "Who is the + founder of LangChain?"}, {"role": "assistant", "content": [{"text": "To answer + this question accurately, I''ll need to search for the most up-to-date information + about LangChain and its founder. Let me do that for you.", "type": "text"}, + {"type": "tool_use", "name": "search", "input": {"query": "Who is the founder + of LangChain"}, "id": "toolu_01LAyiyBfbnEZTebPJRg5MCr"}]}, {"role": "user", + "content": [{"type": "tool_result", "content": "[{\"url\": \"https://sfelc.com/speaker/harrison-chase\", + \"content\": \"Harrison Chase is the CEO and co-founder 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://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://tedai-sanfrancisco.ted.com/speakers-1/harrison-chase-/co-founder-and-ceo,-langchain/\", + \"content\": \"Harrison Chase, a Harvard graduate in statistics and computer + science, co-founded LangChain to streamline the development of Language Model + applications with open-source Python/Typescript packages. Chase''s experience + includes heading the Machine Learning team at Robust Intelligence, focusing + on the testing and validation of machine learning models, and leading the entity + linking team at Kensho\"}, {\"url\": \"https://techcrunch.com/author/harrison-chase/\", + \"content\": \"Harrison Chase is the CEO and co-founder of LangChain, a company + formed around the open source Python/Typescript packages that aim to make it + easy to develop Language Model applications\"}, {\"url\": \"https://www.sequoiacap.com/podcast/training-data-harrison-chase/\", + \"content\": \"Sonya Huang: Hi, and welcome to training data. We have with us + today Harrison Chase, founder and CEO of LangChain. Harrison is a legend in + the agent ecosystem, as the product visionary who first connected LLMs with + tools and actions. And LangChain is the most popular agent building framework + in the AI space.\"}, {\"url\": \"https://www.youtube.com/watch?v=7D8bw_4hTdo\", + \"content\": \"Join us for an insightful interview with Harrison Chase, the + CEO and co-founder of Langchain, as he provides a comprehensive overview of + Langchain''s innovati\"}, {\"url\": \"https://www.forbes.com/profile/harrison-chase/\", + \"content\": \"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 in as little as two\"}, {\"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://analyticsindiamag.com/people/harrison-chase/\", + \"content\": \"By AIM The dynamic co-founder and CEO of LangChain, Harrison + Chase is simplifying the creation of applications powered by LLMs. With a background + in statistics and computer science from Harvard University, Chase has carved + a niche in the AI landscape. AIM Brand Solutions, a marketing division within + AIM, specializes in creating diverse content such as documentaries, public artworks, + podcasts, videos, articles, and more to effectively tell compelling stories. + AIM Research produces a series of annual reports on AI & Data Science covering + every aspect of the industry. Discover how Cypher 2024 expands to the USA, bridging + AI innovation gaps and tackling the challenges of enterprise AI adoption AIM + India AIM Research AIM Leaders Council 50 Best Data Science Firms\"}, {\"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 73,000 professionals from top AI + labs, ML startups, and enterprises\"}]", "tool_use_id": "toolu_01LAyiyBfbnEZTebPJRg5MCr", + "is_error": false}]}], "model": "claude-3-5-sonnet-20240620", "system": "You + are a helpful AI assistant.", "tools": [{"name": "search", "description": "Search + for general web results. This function performs a search using the Tavily search + engine, which is designed\nto provide comprehensive, accurate, and trusted results. + It''s particularly useful\nfor answering questions about current events.", "input_schema": + {"properties": {"query": {"type": "string"}}, "required": ["query"], "type": + "object"}}]}' + headers: {} + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAAA3RU0W4bRwz8FeIQoC1wEmQ5KVC/2UZQu5DQNEmf6iKg9nh3jPa45yVPqhD03wuu + LEdx26cFdpfkcGbILxU31VU1aPdpcbFu9q8vfnv/y0/j5frx1j7vbldv391UdWWHkfwXqWJHVV3l + FP0CVVkNxaq6GlJDsbqqQsSpodnl7M1MkwjZbLlYvl78uFxUdRWSGIlVV398OSU1+svDy3FV3aBS + A0nAegIlzKGHTDpF0xruIaBASNJyQ2LxACi6pwyHNGV4nEiNkwBu0mQlQZsmaShDamGF0t32yDJ/ + kAf5+D+PwAp3mDNrErjtUWkO65QJdKTALQeM8XDlGS7mLz56qNcMaXbKjNLA7dtfX5ZfzuHuVL45 + ry0Q0QiWi+WyBhY29nKACiiQRpKZpikHgjGnzxQM9j1Hgn3KW5YO0ABhwNCzEETCLH6rhtmmERw6 + NfA+bSY1uBejGLkjCTR/kMv5GY49KoRMaNSAJRhwS8AGhMqU/aahHcU0Ao5j5IBOusKY9pSpgc0B + Vpg7Kgkn7AjW7gyF71ertf5Q6P+QBgJsGvZQjMBilF096aDFYPqk4QuGnc9nmCcVjk+9kwQbDNsu + O7FOphoaq3HQEhnSME5GGTSwtw1tToOX2GFu4HfhHWVlOxwVepc5lWYLfw7suXINvfPbFLnXT3yv + Tnwb4eBS/AfRNbQpTOq/3OFPDTu2HUZuCpFuln9pWGZLX+r0OHHYxgN0yEINjGmcIma2gzfv2K7v + velhErZDDXu23ofHMm+mo2aFgX6SJlOjXvlJWcrqCH9mu5s2BSAG4x1Bwxom1RKcBHaYOU0KY0Rr + Ux4c4us53Atcj5mjO/my/sbhIeUx5WKtopiLgnIoNTKyD79yJ2XUxKCdpGHp5vCxpwNkCsQ73w87 + yvBquYCBY3TSWE5fj1Owwzg904nmTKp5xNeQ0vsHepwSI9ziyIaxBu1TLoultTLAkiYJJS28uvga + rERusR2pDeQ4PdkNSegHzNv5g7w5F8rNuaHgpk9CDsnVGZLaSTTAjsRmm4ljaaLNOJDPtZ5pqSO6 + h7aS9gJtyi6mUDiac7XWo8KWUtRnzZJombhvJ+k7hR27iseQl0hJivF5GCO3h1J+zCmQFo+U1eA1 + r+9np6E/3wS1bwx/Z4PBdycGD+VNpLPl4RZzkBufB1IlBYy8pXn19591pZbGT/kfpSYW5+cpWSml + 5qXEl5QW5SlBJYpTC0tB+UnJKq80J0dHqRRcK1lVK2XmFZSWxJfkZ6fmFStZGRmYmuoo5ZeWIAsa + mxjW1gIAAAD//wMALzV23/YGAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8e22b65b6bda4caf-PHL + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 13 Nov 2024 23:58:59 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-ratelimit-requests-limit: + - '4000' + anthropic-ratelimit-requests-remaining: + - '3999' + anthropic-ratelimit-requests-reset: + - '2024-11-13T23:58:52Z' + anthropic-ratelimit-tokens-limit: + - '400000' + anthropic-ratelimit-tokens-remaining: + - '400000' + anthropic-ratelimit-tokens-reset: + - '2024-11-13T23:58:59Z' + request-id: + - req_013QF9W14BVn6VHs6PZwfFs7 + via: + - 1.1 google + status: + code: 200 + message: OK +version: 1 diff --git a/tests/integration_tests/test_graph.py b/tests/integration_tests/test_graph.py index d7c03ab..cd90afb 100644 --- a/tests/integration_tests/test_graph.py +++ b/tests/integration_tests/test_graph.py @@ -8,7 +8,8 @@ @unit async def test_react_agent_simple_passthrough() -> None: res = await graph.ainvoke( - {"messages": [("user", "Who is the founder of LangChain?")]} + {"messages": [("user", "Who is the founder of LangChain?")]}, + {"configurable": {"system_prompt": "You are a helpful AI assistant."}}, ) assert "harrison" in str(res["messages"][-1].content).lower()