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Merge branch 'master' into eugene/responses_api_2

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Eugene Yurtsev 2025-05-30 14:09:44 -04:00
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2
docs/docs/how_to/assign.ipynb
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@ -157,7 +157,7 @@
"\n",
"## Next steps\n",
"\n",
"Now you've learned how to pass data through your chains to help to help format the data flowing through your chains.\n",
"Now you've learned how to pass data through your chains to help format the data flowing through your chains.\n",
"\n",
"To learn more, see the other how-to guides on runnables in this section."
]

4
docs/docs/integrations/chat/fireworks.ipynb
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@ -17,7 +17,7 @@
"source": [
"# ChatFireworks\n",
"\n",
"This doc help you get started with Fireworks AI [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatFireworks features and configurations head to the [API reference](https://python.langchain.com/api_reference/fireworks/chat_models/langchain_fireworks.chat_models.ChatFireworks.html).\n",
"This doc helps you get started with Fireworks AI [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatFireworks features and configurations head to the [API reference](https://python.langchain.com/api_reference/fireworks/chat_models/langchain_fireworks.chat_models.ChatFireworks.html).\n",
"\n",
"Fireworks AI is an AI inference platform to run and customize models. For a list of all models served by Fireworks see the [Fireworks docs](https://fireworks.ai/models).\n",
"\n",
@ -39,7 +39,7 @@
"\n",
"### Credentials\n",
"\n",
"Head to (ttps://fireworks.ai/login to sign up to Fireworks and generate an API key. Once you've done this set the FIREWORKS_API_KEY environment variable:"
"Head to (https://fireworks.ai/login to sign up to Fireworks and generate an API key. Once you've done this set the FIREWORKS_API_KEY environment variable:"
]
},
{

6
docs/docs/integrations/chat/writer.ipynb
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@ -303,7 +303,7 @@
"source": [
"### A note on tool binding\n",
"\n",
"The `ChatWriter.bind_tools()` method does not create new instance with bound tools, but stores the received `tools` and `tool_choice` in the initial class instance attributes to pass them as parameters during the Palmyra LLM call while using `ChatWriter` invocation. This approach allows the support of different tool types, e.g. `function` and `graph`. `Graph` is one of the remotely called Writer Palmyra tools. For further information visit our [docs](https://dev.writer.com/api-guides/knowledge-graph#knowledge-graph). \n",
"The `ChatWriter.bind_tools()` method does not create a new instance with bound tools, but stores the received `tools` and `tool_choice` in the initial class instance attributes to pass them as parameters during the Palmyra LLM call while using `ChatWriter` invocation. This approach allows the support of different tool types, e.g. `function` and `graph`. `Graph` is one of the remotely called Writer Palmyra tools. For further information, visit our [docs](https://dev.writer.com/api-guides/knowledge-graph#knowledge-graph). \n",
"\n",
"For more information about tool usage in LangChain, visit the [LangChain tool calling documentation](https://python.langchain.com/docs/concepts/tool_calling/)."
]
@ -373,7 +373,7 @@
"source": [
"## Prompt templates\n",
"\n",
"[Prompt templates](https://python.langchain.com/docs/concepts/prompt_templates/) help to translate user input and parameters into instructions for a language model. You can use `ChatWriter` with a prompt templates like so:\n"
"[Prompt templates](https://python.langchain.com/docs/concepts/prompt_templates/) help to translate user input and parameters into instructions for a language model. You can use `ChatWriter` with a prompt template like so:\n"
]
},
{
@ -411,7 +411,7 @@
"metadata": {},
"source": [
"## API reference\n",
"For detailed documentation of all ChatWriter features and configurations head to the [API reference](https://python.langchain.com/api_reference/writer/chat_models/langchain_writer.chat_models.ChatWriter.html#langchain_writer.chat_models.ChatWriter).\n",
"For detailed documentation of all ChatWriter features and configurations, head to the [API reference](https://python.langchain.com/api_reference/writer/chat_models/langchain_writer.chat_models.ChatWriter.html#langchain_writer.chat_models.ChatWriter).\n",
"\n",
"## Additional resources\n",
"You can find information about Writer's models (including costs, context windows, and supported input types) and tools in the [Writer docs](https://dev.writer.com/home)."

2
libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py
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@ -775,12 +775,12 @@ class ChatHuggingFace(BaseChatModel):
elif _is_huggingface_pipeline(self.llm):
from transformers import AutoTokenizer # type: ignore[import]
self.model_id = self.model_id or self.llm.model_id
self.tokenizer = (
AutoTokenizer.from_pretrained(self.model_id)
if self.tokenizer is None
else self.tokenizer
)
self.model_id = self.llm.model_id
return
elif _is_huggingface_endpoint(self.llm):
self.model_id = self.llm.repo_id or self.llm.model