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Langchain manual update #164

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merged 2 commits into from
Dec 15, 2023
Merged

Langchain manual update #164

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5f81528
Simplify Langchain examples to pass only once the callback
Lothiraldan Dec 15, 2023
7893633
Update agent example to not need Serpapi anymore
Lothiraldan Dec 15, 2023
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36 changes: 17 additions & 19 deletions integrations/llm/langchain/notebooks/Comet_with_Langchain.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@
"metadata": {},
"outputs": [],
"source": [
"%pip install -U comet_llm \"langchain>=0.0.346\" openai google-search-results numexpr"
"%pip install -U comet_llm \"langchain>=0.0.346\" openai numexpr"
]
},
{
Expand Down Expand Up @@ -86,7 +86,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"You will need an [OpenAI API Key](https://platform.openai.com/account/api-keys) and a [SerpAPI API Key](https://serpapi.com/dashboard) to run the following examples"
"You will need an [OpenAI API Key](https://platform.openai.com/account/api-keys) to run the following examples"
]
},
{
Expand All @@ -98,8 +98,7 @@
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = \"...\"\n",
"# os.environ[\"OPENAI_ORGANIZATION\"] = \"...\"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"...\""
"# os.environ[\"OPENAI_ORGANIZATION\"] = \"...\""
]
},
{
Expand All @@ -121,9 +120,11 @@
"from langchain.llms import OpenAI\n",
"\n",
"comet_callback = CometTracer()\n",
"llm = OpenAI(temperature=0.9, callbacks=[comet_callback], verbose=True)\n",
"\n",
"llm_result = llm.generate([\"Tell me a joke\", \"Tell me a poem\", \"Tell me a fact\"] * 3)\n",
"llm = OpenAI(temperature=0.9, verbose=True)\n",
"llm_result = llm.generate(\n",
" [\"Tell me a joke\", \"Tell me a poem\", \"Tell me a fact\"] * 3,\n",
" callbacks=[comet_callback],\n",
")\n",
"print(\"LLM result\", llm_result)\n",
"comet_callback.flush()"
]
Expand All @@ -149,18 +150,16 @@
"comet_callback = CometTracer()\n",
"callbacks = [comet_callback]\n",
"\n",
"llm = OpenAI(temperature=0.9, callbacks=callbacks, verbose=True)\n",
"llm = OpenAI(temperature=0.9, verbose=True)\n",
"\n",
"template = \"\"\"You are a playwright. Given the title of play, it is your job to write a synopsis for that title.\n",
"Title: {title}\n",
"Playwright: This is a synopsis for the above play:\"\"\"\n",
"prompt_template = PromptTemplate(input_variables=[\"title\"], template=template)\n",
"synopsis_chain = LLMChain(\n",
" llm=llm, prompt=prompt_template, callbacks=callbacks, verbose=True\n",
")\n",
"synopsis_chain = LLMChain(llm=llm, prompt=prompt_template, verbose=True)\n",
"\n",
"test_prompts = [{\"title\": \"Documentary about Bigfoot in Paris\"}]\n",
"print(synopsis_chain.apply(test_prompts))\n",
"print(synopsis_chain.apply(test_prompts, callbacks=callbacks))\n",
"comet_callback.flush()"
]
},
Expand All @@ -177,25 +176,24 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.agents import initialize_agent, load_tools\n",
"from langchain.agents import AgentType, initialize_agent, load_tools\n",
"from langchain.callbacks.tracers.comet import CometTracer\n",
"from langchain.llms import OpenAI\n",
"\n",
"comet_callback = CometTracer()\n",
"callbacks = [comet_callback]\n",
"\n",
"llm = OpenAI(temperature=0.9, callbacks=callbacks, verbose=True)\n",
"llm = OpenAI(temperature=0.9, verbose=True)\n",
"\n",
"tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm, callbacks=callbacks, verbose=True)\n",
"tools = load_tools([\"llm-math\"], llm=llm, verbose=True)\n",
"agent = initialize_agent(\n",
" tools,\n",
" llm,\n",
" agent=\"zero-shot-react-description\",\n",
" callbacks=callbacks,\n",
" AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
" verbose=True,\n",
")\n",
"agent.run(\n",
" \"Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?\",\n",
" \"What is 2 raised to .123243 power?\",\n",
" callbacks=callbacks,\n",
")\n",
"comet_callback.flush()"
Expand All @@ -218,7 +216,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
"version": "3.11.3"
}
},
"nbformat": 4,
Expand Down
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