mirror of
https://github.com/hwchase17/langchain.git
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anthropic[minor]: claude 3 (#18508)
This commit is contained in:
Erick Friis
GitHub
parent
172499404a
commit
24f9c700f2
@ -46,7 +46,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"id": "01578ae3",
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"metadata": {},
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"outputs": [],
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@ -66,10 +66,13 @@
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"source": [
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"The code provided assumes that your ANTHROPIC_API_KEY is set in your environment variables. If you would like to manually specify your API key and also choose a different model, you can use the following code:\n",
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"```python\n",
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"chat = ChatAnthropic(temperature=0, anthropic_api_key=\"YOUR_API_KEY\", model_name=\"claude-instant-1.2\")\n",
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"chat = ChatAnthropic(temperature=0, anthropic_api_key=\"YOUR_API_KEY\", model_name=\"claude-3-opus-20240229\")\n",
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"\n",
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"```\n",
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"Please note that the default model is \"claude-2,\" and you can check the available models at [here](https://docs.anthropic.com/claude/reference/selecting-a-model)."
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"\n",
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"In these demos, we will use the Claude 3 Opus model, and you can also use the launch version of the Sonnet model with `claude-3-sonnet-20240229`.\n",
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"\n",
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"You can check the model comparison doc [here](https://docs.anthropic.com/claude/docs/models-overview#model-comparison)."
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]
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},
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{
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@ -87,7 +90,7 @@
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{
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"data": {
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"text/plain": [
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"AIMessage(content=' 저는 파이썬을 좋아합니다.')"
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"AIMessage(content='저는 파이썬을 사랑합니다.\\n\\nTranslation:\\nI love Python.')"
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]
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},
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"execution_count": 3,
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@ -99,7 +102,7 @@
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"from langchain_anthropic import ChatAnthropic\n",
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"from langchain_core.prompts import ChatPromptTemplate\n",
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"\n",
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"chat = ChatAnthropic(temperature=0, model_name=\"claude-2\")\n",
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"chat = ChatAnthropic(temperature=0, model_name=\"claude-3-opus-20240229\")\n",
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"\n",
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"system = (\n",
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" \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n",
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@ -127,7 +130,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 5,
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"id": "c5fac0e9-05a4-4fc1-a3b3-e5bbb24b971b",
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"metadata": {
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"ExecuteTime": {
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@ -140,16 +143,16 @@
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{
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"data": {
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"text/plain": [
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"AIMessage(content=\" Why don't bears like fast food? Because they can't catch it!\")"
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"AIMessage(content='Sure, here\\'s a joke about a bear:\\n\\nA bear walks into a bar and says to the bartender, \"I\\'ll have a pint of beer and a.......... packet of peanuts.\"\\n\\nThe bartender asks, \"Why the big pause?\"\\n\\nThe bear replies, \"I don\\'t know, I\\'ve always had them!\"')"
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]
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},
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"execution_count": 4,
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chat = ChatAnthropic(temperature=0, model_name=\"claude-2\")\n",
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"chat = ChatAnthropic(temperature=0, model_name=\"claude-3-opus-20240229\")\n",
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"prompt = ChatPromptTemplate.from_messages([(\"human\", \"Tell me a joke about {topic}\")])\n",
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"chain = prompt | chat\n",
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"await chain.ainvoke({\"topic\": \"bear\"})"
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@ -157,7 +160,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 6,
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"id": "025be980-e50d-4a68-93dc-c9c7b500ce34",
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"metadata": {
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"ExecuteTime": {
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@ -171,30 +174,30 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" Here are some of the most famous tourist attractions in Japan:\n",
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"Here is a list of famous tourist attractions in Japan:\n",
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"\n",
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"- Tokyo - Tokyo Tower, Tokyo Skytree, Imperial Palace, Sensoji Temple, Meiji Shrine, Shibuya Crossing\n",
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"\n",
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"- Kyoto - Kinkakuji (Golden Pavilion), Fushimi Inari Shrine, Kiyomizu-dera Temple, Arashiyama Bamboo Grove, Gion Geisha District\n",
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"\n",
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"- Osaka - Osaka Castle, Dotonbori, Universal Studios Japan, Osaka Aquarium Kaiyukan \n",
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"\n",
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"- Hiroshima - Hiroshima Peace Memorial Park and Museum, Itsukushima Shrine (Miyajima Island)\n",
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"\n",
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"- Mount Fuji - Iconic and famous mountain, popular for hiking and viewing from places like Hakone and Kawaguchiko Lake\n",
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"\n",
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"- Himeji - Himeji Castle, one of Japan's most impressive feudal castles\n",
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"\n",
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"- Nara - Todaiji Temple, Nara Park with its bowing deer, Horyuji Temple with some of world's oldest wooden structures \n",
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"\n",
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"- Nikko - Elaborate shrines and temples nestled around Nikko National Park\n",
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"\n",
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"- Sapporo - Snow"
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"1. Tokyo Skytree (Tokyo)\n",
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"2. Senso-ji Temple (Tokyo)\n",
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"3. Meiji Shrine (Tokyo)\n",
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"4. Tokyo DisneySea (Urayasu, Chiba)\n",
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"5. Fushimi Inari Taisha (Kyoto)\n",
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"6. Kinkaku-ji (Golden Pavilion) (Kyoto)\n",
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"7. Kiyomizu-dera (Kyoto)\n",
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"8. Nijo Castle (Kyoto)\n",
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"9. Osaka Castle (Osaka)\n",
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"10. Dotonbori (Osaka)\n",
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"11. Hiroshima Peace Memorial Park (Hiroshima)\n",
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"12. Itsukushima Shrine (Miyajima Island, Hiroshima)\n",
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"13. Himeji Castle (Himeji)\n",
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"14. Todai-ji Temple (Nara)\n",
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"15. Nara Park (Nara)\n",
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"16. Mount Fuji (Shizuoka and Yamanashi Prefectures)\n",
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"17."
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]
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}
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],
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"source": [
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"chat = ChatAnthropic(temperature=0.3, model_name=\"claude-2\")\n",
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"chat = ChatAnthropic(temperature=0.3, model_name=\"claude-3-opus-20240229\")\n",
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"prompt = ChatPromptTemplate.from_messages(\n",
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" [(\"human\", \"Give me a list of famous tourist attractions in Japan\")]\n",
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")\n",
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@ -202,6 +205,14 @@
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"for chunk in chain.stream({}):\n",
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" print(chunk.content, end=\"\", flush=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b6bb2aa2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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@ -19,6 +19,8 @@
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"\n",
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"This example goes over how to use LangChain to interact with `Anthropic` models.\n",
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"\n",
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"NOTE: AnthropicLLM only supports legacy Claude 2 models. To use the newest Claude 3 models, please use [`ChatAnthropic`](/docs/integrations/chat/anthropic) instead.\n",
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"\n",
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"## Installation"
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]
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},
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@ -26,7 +26,7 @@ You can import this wrapper with the following code:
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```
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from langchain_anthropic import ChatAnthropic
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model = ChatAnthropic(model='claude-2.1')
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model = ChatAnthropic(model='claude-3-opus-20240229')
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```
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Read more in the [ChatAnthropic documentation](/docs/integrations/chat/anthropic).
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@ -77,7 +77,7 @@ class ChatAnthropic(BaseChatModel):
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model: str = Field(alias="model_name")
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"""Model name to use."""
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max_tokens: int = Field(default=256, alias="max_tokens_to_sample")
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max_tokens: int = Field(default=1024, alias="max_tokens_to_sample")
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"""Denotes the number of tokens to predict per generation."""
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temperature: Optional[float] = None
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@ -35,7 +35,7 @@ class _AnthropicCommon(BaseLanguageModel):
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model: str = Field(default="claude-2", alias="model_name")
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"""Model name to use."""
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max_tokens_to_sample: int = Field(default=256, alias="max_tokens")
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max_tokens_to_sample: int = Field(default=1024, alias="max_tokens")
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"""Denotes the number of tokens to predict per generation."""
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temperature: Optional[float] = None
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307
libs/partners/anthropic/poetry.lock
generated
307
libs/partners/anthropic/poetry.lock
generated
@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
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[[package]]
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name = "anthropic"
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version = "0.16.0"
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version = "0.17.0"
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description = "The official Python library for the anthropic API"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "anthropic-0.16.0-py3-none-any.whl", hash = "sha256:fb6657050c14c90ebc49df3510541a4f74a926f04598eaa2c4f5a3be772a95da"},
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{file = "anthropic-0.16.0.tar.gz", hash = "sha256:130730820d1b327f31a097f575e42721d7ef69c731728f4c2d7fa70cf3b7eee0"},
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{file = "anthropic-0.17.0-py3-none-any.whl", hash = "sha256:e582635d65d940cd0d957631d548aa2d8add4f261556bf53f8c1f6e5fa6082fd"},
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{file = "anthropic-0.17.0.tar.gz", hash = "sha256:6f1958e7ffd706a19741260d6dfef3fd9af07d31a57b837792331b4ba0aa067c"},
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]
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[package.dependencies]
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@ -346,13 +346,13 @@ socks = ["socksio (==1.*)"]
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[[package]]
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name = "huggingface-hub"
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version = "0.20.3"
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version = "0.21.3"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"},
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{file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"},
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{file = "huggingface_hub-0.21.3-py3-none-any.whl", hash = "sha256:b183144336fdf2810a8c109822e0bb6ef1fd61c65da6fb60e8c3f658b7144016"},
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{file = "huggingface_hub-0.21.3.tar.gz", hash = "sha256:26a15b604e4fc7bad37c467b76456543ec849386cbca9cd7e1e135f53e500423"},
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]
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[package.dependencies]
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@ -369,11 +369,12 @@ all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi",
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cli = ["InquirerPy (==0.3.4)"]
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dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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hf-transfer = ["hf-transfer (>=0.1.4)"]
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inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
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quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["torch"]
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torch = ["safetensors", "torch"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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[[package]]
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@ -425,7 +426,7 @@ files = [
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[[package]]
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name = "langchain-core"
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version = "0.1.25"
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version = "0.1.28"
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description = "Building applications with LLMs through composability"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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@ -451,16 +452,17 @@ url = "../../core"
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[[package]]
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name = "langsmith"
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version = "0.1.5"
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version = "0.1.14"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langsmith-0.1.5-py3-none-any.whl", hash = "sha256:a1811821a923d90e53bcbacdd0988c3c366aff8f4c120d8777e7af8ecda06268"},
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{file = "langsmith-0.1.5.tar.gz", hash = "sha256:aa7a2861aa3d9ae563a077c622953533800466c4e2e539b0d567b84d5fd5b157"},
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{file = "langsmith-0.1.14-py3-none-any.whl", hash = "sha256:ecb243057d2a43c2da0524fe395585bc3421bb5d24f1cdd53eb06fbe63e43a69"},
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{file = "langsmith-0.1.14.tar.gz", hash = "sha256:b95f267d25681f4c9862bb68236fba8a57a60ec7921ecfdaa125936807e51bde"},
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]
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[package.dependencies]
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orjson = ">=3.9.14,<4.0.0"
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pydantic = ">=1,<3"
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requests = ">=2,<3"
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@ -525,6 +527,65 @@ files = [
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{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
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]
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[[package]]
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name = "orjson"
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version = "3.9.15"
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description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"},
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||||
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99"},
|
||||
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe"},
|
||||
{file = "orjson-3.9.15-cp310-none-win32.whl", hash = "sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7"},
|
||||
{file = "orjson-3.9.15-cp310-none-win_amd64.whl", hash = "sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb"},
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||||
{file = "orjson-3.9.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2"},
|
||||
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f"},
|
||||
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc"},
|
||||
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1"},
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||||
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5"},
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||||
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|
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||||
{file = "pydantic_core-2.16.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ed25e1835c00a332cb10c683cd39da96a719ab1dfc08427d476bce41b92531fc"},
|
||||
{file = "pydantic_core-2.16.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:86b3d0033580bd6bbe07590152007275bd7af95f98eaa5bd36f3da219dcd93da"},
|
||||
{file = "pydantic_core-2.16.3.tar.gz", hash = "sha256:1cac689f80a3abab2d3c0048b29eea5751114054f032a941a32de4c852c59cad"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -735,13 +796,13 @@ watchdog = ">=2.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "python-dateutil"
|
||||
version = "2.8.2"
|
||||
version = "2.9.0.post0"
|
||||
description = "Extensions to the standard Python datetime module"
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
||||
files = [
|
||||
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
|
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{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
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{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
|
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{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -830,28 +891,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.2.2"
|
||||
version = "0.3.0"
|
||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:0a9efb032855ffb3c21f6405751d5e147b0c6b631e3ca3f6b20f917572b97eb6"},
|
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|
||||
{file = "ruff-0.2.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecd46e3106850a5c26aee114e562c329f9a1fbe9e4821b008c4404f64ff9ce73"},
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{file = "ruff-0.2.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1439c8f407e4f356470e54cdecdca1bd5439a0673792dbe34a2b0a551a2fe3"},
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||||
{file = "ruff-0.2.2-py3-none-win32.whl", hash = "sha256:d920499b576f6c68295bc04e7b17b6544d9d05f196bb3aac4358792ef6f34325"},
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||||
{file = "ruff-0.2.2-py3-none-win_amd64.whl", hash = "sha256:cc9a91ae137d687f43a44c900e5d95e9617cb37d4c989e462980ba27039d239d"},
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||||
{file = "ruff-0.2.2-py3-none-win_arm64.whl", hash = "sha256:c9d15fc41e6054bfc7200478720570078f0b41c9ae4f010bcc16bd6f4d1aacdd"},
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||||
{file = "ruff-0.2.2.tar.gz", hash = "sha256:e62ed7f36b3068a30ba39193a14274cd706bc486fad521276458022f7bccb31d"},
|
||||
{file = "ruff-0.3.0-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:7deb528029bacf845bdbb3dbb2927d8ef9b4356a5e731b10eef171e3f0a85944"},
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{file = "ruff-0.3.0-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:e1e0d4381ca88fb2b73ea0766008e703f33f460295de658f5467f6f229658c19"},
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{file = "ruff-0.3.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f7dbba46e2827dfcb0f0cc55fba8e96ba7c8700e0a866eb8cef7d1d66c25dcb"},
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{file = "ruff-0.3.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23dbb808e2f1d68eeadd5f655485e235c102ac6f12ad31505804edced2a5ae77"},
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{file = "ruff-0.3.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ef655c51f41d5fa879f98e40c90072b567c666a7114fa2d9fe004dffba00932"},
|
||||
{file = "ruff-0.3.0-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:d0d3d7ef3d4f06433d592e5f7d813314a34601e6c5be8481cccb7fa760aa243e"},
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||||
{file = "ruff-0.3.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b08b356d06a792e49a12074b62222f9d4ea2a11dca9da9f68163b28c71bf1dd4"},
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||||
{file = "ruff-0.3.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9343690f95710f8cf251bee1013bf43030072b9f8d012fbed6ad702ef70d360a"},
|
||||
{file = "ruff-0.3.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1f3ed501a42f60f4dedb7805fa8d4534e78b4e196f536bac926f805f0743d49"},
|
||||
{file = "ruff-0.3.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:cc30a9053ff2f1ffb505a585797c23434d5f6c838bacfe206c0e6cf38c921a1e"},
|
||||
{file = "ruff-0.3.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:5da894a29ec018a8293d3d17c797e73b374773943e8369cfc50495573d396933"},
|
||||
{file = "ruff-0.3.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:755c22536d7f1889be25f2baf6fedd019d0c51d079e8417d4441159f3bcd30c2"},
|
||||
{file = "ruff-0.3.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:dd73fe7f4c28d317855da6a7bc4aa29a1500320818dd8f27df95f70a01b8171f"},
|
||||
{file = "ruff-0.3.0-py3-none-win32.whl", hash = "sha256:19eacceb4c9406f6c41af806418a26fdb23120dfe53583df76d1401c92b7c14b"},
|
||||
{file = "ruff-0.3.0-py3-none-win_amd64.whl", hash = "sha256:128265876c1d703e5f5e5a4543bd8be47c73a9ba223fd3989d4aa87dd06f312f"},
|
||||
{file = "ruff-0.3.0-py3-none-win_arm64.whl", hash = "sha256:e3a4a6d46aef0a84b74fcd201a4401ea9a6cd85614f6a9435f2d33dd8cefbf83"},
|
||||
{file = "ruff-0.3.0.tar.gz", hash = "sha256:0886184ba2618d815067cf43e005388967b67ab9c80df52b32ec1152ab49f53a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -867,13 +928,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "sniffio"
|
||||
version = "1.3.0"
|
||||
version = "1.3.1"
|
||||
description = "Sniff out which async library your code is running under"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
|
||||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
|
||||
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1064,13 +1125,13 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.9.0"
|
||||
version = "4.10.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
|
||||
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
|
||||
{file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
|
||||
{file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1134,4 +1195,4 @@ watchmedo = ["PyYAML (>=3.10)"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "e88b90ae60758bdab0fe844948c5b9a45bb7f3a96e9ab31ee6d56a7ebd24bfde"
|
||||
content-hash = "87eac6e38dbdf3658a937aa5a67b5660ff50c4d1d20271e841461020e8aa1ea1"
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "langchain-anthropic"
|
||||
version = "0.1.0"
|
||||
version = "0.1.1"
|
||||
description = "An integration package connecting AnthropicMessages and LangChain"
|
||||
authors = []
|
||||
readme = "README.md"
|
||||
@ -13,7 +13,7 @@ license = "MIT"
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.8.1,<4.0"
|
||||
langchain-core = "^0.1"
|
||||
anthropic = ">=0.16.0,<1"
|
||||
anthropic = ">=0.17.0,<1"
|
||||
|
||||
[tool.poetry.group.test]
|
||||
optional = true
|
||||
|
||||
@ -10,10 +10,12 @@ from langchain_core.prompts import ChatPromptTemplate
|
||||
from langchain_anthropic import ChatAnthropic, ChatAnthropicMessages
|
||||
from tests.unit_tests._utils import FakeCallbackHandler
|
||||
|
||||
MODEL_NAME = "claude-3-sonnet-20240229"
|
||||
|
||||
|
||||
def test_stream() -> None:
|
||||
"""Test streaming tokens from Anthropic."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
for token in llm.stream("I'm Pickle Rick"):
|
||||
assert isinstance(token.content, str)
|
||||
@ -21,7 +23,7 @@ def test_stream() -> None:
|
||||
|
||||
async def test_astream() -> None:
|
||||
"""Test streaming tokens from Anthropic."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
async for token in llm.astream("I'm Pickle Rick"):
|
||||
assert isinstance(token.content, str)
|
||||
@ -29,7 +31,7 @@ async def test_astream() -> None:
|
||||
|
||||
async def test_abatch() -> None:
|
||||
"""Test streaming tokens from ChatAnthropicMessages."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
|
||||
for token in result:
|
||||
@ -38,7 +40,7 @@ async def test_abatch() -> None:
|
||||
|
||||
async def test_abatch_tags() -> None:
|
||||
"""Test batch tokens from ChatAnthropicMessages."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
result = await llm.abatch(
|
||||
["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
|
||||
@ -49,7 +51,7 @@ async def test_abatch_tags() -> None:
|
||||
|
||||
def test_batch() -> None:
|
||||
"""Test batch tokens from ChatAnthropicMessages."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
|
||||
for token in result:
|
||||
@ -58,7 +60,7 @@ def test_batch() -> None:
|
||||
|
||||
async def test_ainvoke() -> None:
|
||||
"""Test invoke tokens from ChatAnthropicMessages."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
result = await llm.ainvoke("I'm Pickle Rick", config={"tags": ["foo"]})
|
||||
assert isinstance(result.content, str)
|
||||
@ -66,7 +68,7 @@ async def test_ainvoke() -> None:
|
||||
|
||||
def test_invoke() -> None:
|
||||
"""Test invoke tokens from ChatAnthropicMessages."""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
result = llm.invoke("I'm Pickle Rick", config=dict(tags=["foo"]))
|
||||
assert isinstance(result.content, str)
|
||||
@ -74,7 +76,7 @@ def test_invoke() -> None:
|
||||
|
||||
def test_system_invoke() -> None:
|
||||
"""Test invoke tokens with a system message"""
|
||||
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
|
||||
llm = ChatAnthropicMessages(model_name=MODEL_NAME)
|
||||
|
||||
prompt = ChatPromptTemplate.from_messages(
|
||||
[
|
||||
|
||||
Loading…
Reference in New Issue
Block a user