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style: monorepo pass for refs (#33359)

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* Delete some double backticks previously used by Sphinx (not done
everywhere yet)
* Fix some code blocks / dropdowns

Ignoring CLI CI for now
This commit is contained in:
Mason Daugherty
2025-10-08 18:41:39 -04:00
committed by GitHub
parent b665b81a0e
commit d13823043d
154 changed files with 1871 additions and 1883 deletions
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12
libs/partners/fireworks/langchain_fireworks/chat_models.py
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@@ -334,7 +334,7 @@ class ChatFireworks(BaseChatModel):
default=None, alias="timeout"
)
"""Timeout for requests to Fireworks completion API. Can be ``float``,
``httpx.Timeout`` or ``None``."""
``httpx.Timeout`` or `None`."""
streaming: bool = False
"""Whether to stream the results or not."""
n: int = 1
@@ -635,7 +635,7 @@ class ChatFireworks(BaseChatModel):
tool_choice: Which tool to require the model to call.
Must be the name of the single provided function,
``'auto'`` to automatically determine which function to call
with the option to not call any function, ``'any'`` to enforce that some
with the option to not call any function, `'any'` to enforce that some
function is called, or a dict of the form:
``{"type": "function", "function": {"name": <<tool_name>>}}``.
**kwargs: Any additional parameters to pass to
@@ -681,7 +681,7 @@ class ChatFireworks(BaseChatModel):
- an OpenAI function/tool schema,
- a JSON Schema,
- a TypedDict class (support added in 0.1.7),
- a `TypedDict` class (support added in 0.1.7),
- or a Pydantic class.
If ``schema`` is a Pydantic class then the model output will be a
@@ -689,7 +689,7 @@ class ChatFireworks(BaseChatModel):
validated by the Pydantic class. Otherwise the model output will be a
dict and will not be validated. See `langchain_core.utils.function_calling.convert_to_openai_tool`
for more on how to properly specify types and descriptions of
schema fields when specifying a Pydantic or TypedDict class.
schema fields when specifying a Pydantic or `TypedDict` class.
!!! warning "Behavior changed in 0.1.7"
Added support for TypedDict class.
@@ -707,8 +707,8 @@ class ChatFireworks(BaseChatModel):
Added support for ``'json_schema'``.
include_raw:
If False then only the parsed structured output is returned. If
an error occurs during model output parsing it will be raised. If True
If `False` then only the parsed structured output is returned. If
an error occurs during model output parsing it will be raised. If `True`
then both the raw model response (a BaseMessage) and the parsed model
response will be returned. If an error occurs during output parsing it
will be caught and returned as well. The final output is always a dict