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docs, cli[patch]: chat model doc template (#22290)
Update ChatModel integration doc template, integration docstring, and adds langchain-cli command to easily create just doc (for updating existing integrations): ```bash langchain-cli integration create-doc --name "foo-bar" ```
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@@ -135,25 +135,17 @@
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"source": [
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"from langchain_openai import ChatOpenAI\n",
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"\n",
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"llm = ChatOpenAI(model=\"gpt-4o\", temperature=0)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4e5fe97e",
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"metadata": {},
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"source": [
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"The above cell that your OpenAI API key is set in your environment variables. If you would prefer you can specify credentials like API key, organization ID, base url, etc. as init params:\n",
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"\n",
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"```python\n",
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"llm = ChatOpenAI(\n",
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" model=\"gpt-4o\", \n",
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" temperature=0, \n",
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" api_key=\"YOUR_API_KEY\", \n",
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" organization=\"YOUR_ORGANIZATION_ID\", \n",
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" base_url=\"YOUR_BASE_URL\"\n",
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")\n",
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"```"
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" model=\"gpt-4o\",\n",
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" temperature=0,\n",
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" max_tokens=None,\n",
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" timeout=None,\n",
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" max_retries=2,\n",
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" # api_key=\"...\", # if you prefer to pass api key in directly instaed of using env vars\n",
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" # base_url=\"...\",\n",
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" # organization=\"...\",\n",
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" # other params...\n",
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")"
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]
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},
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{
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@@ -220,7 +212,7 @@
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"source": [
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"## Chaining\n",
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"\n",
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"We can chain our model with a prompt template like so:"
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"We can [chain](/docs/how_to/sequence/) our model with a prompt template like so:"
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]
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},
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{
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