github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2026-06-09 10:17:00 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs: more fixes for refs (#33554)

Browse Source
This commit is contained in:
Mason Daugherty
2025-10-16 22:54:16 -04:00
committed by GitHub
parent 9dd494ddcd
commit 1d2273597a
41 changed files with 1305 additions and 1238 deletions
Download Patch File Download Diff File Expand all files Collapse all files

37
libs/partners/ollama/langchain_ollama/chat_models.py
View File

@@ -1258,17 +1258,19 @@ class ChatOllama(BaseChatModel):
Args:
schema: The output schema. Can be passed in as:
- a Pydantic class,
- a JSON schema
- a `TypedDict` class
- an OpenAI function/tool schema.
- a JSON Schema,
- a `TypedDict` class,
- or a Pydantic class.
If `schema` is a Pydantic class then the model output will be a
Pydantic instance of that class, and the model-generated fields will be
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.
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.
method: The method for steering model generation, one of:
@@ -1286,21 +1288,26 @@ class ChatOllama(BaseChatModel):
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
with keys `'raw'`, `'parsed'`, and `'parsing_error'`.
will be caught and returned as well.
The final output is always a `dict` with keys `'raw'`, `'parsed'`, and
`'parsing_error'`.
kwargs: Additional keyword args aren't supported.
Returns:
A Runnable that takes same inputs as a `langchain_core.language_models.chat.BaseChatModel`.
A `Runnable` that takes same inputs as a
`langchain_core.language_models.chat.BaseChatModel`. If `include_raw` is
`False` and `schema` is a Pydantic class, `Runnable` outputs an instance
of `schema` (i.e., a Pydantic object). Otherwise, if `include_raw` is
`False` then `Runnable` outputs a `dict`.
If `include_raw` is False and `schema` is a Pydantic class, Runnable outputs an instance of `schema` (i.e., a Pydantic object). Otherwise, if `include_raw` is False then Runnable outputs a dict.
If `include_raw` is `True`, then `Runnable` outputs a `dict` with keys:
If `include_raw` is True, then Runnable outputs a dict with keys:
- `'raw'`: `BaseMessage`
- `'parsed'`: None if there was a parsing error, otherwise the type depends on the `schema` as described above.
- `'parsing_error'`: BaseException | None
- `'raw'`: `BaseMessage`
- `'parsed'`: `None` if there was a parsing error, otherwise the type
depends on the `schema` as described above.
- `'parsing_error'`: `BaseException | None`
!!! warning "Behavior changed in 0.2.2"
Added support for structured output API via `format` parameter.

6
libs/partners/ollama/langchain_ollama/llms.py
View File

@@ -53,11 +53,11 @@ class OllamaLLM(BaseLLM):
Random number seed for generation reproducibility.
Key init args — client params:
base_url: str | None
base_url:
Base URL where Ollama server is hosted.
keep_alive: int | str | None
keep_alive:
How long the model stays loaded into memory.
format: Literal["", "json"]
format:
Specify the format of the output.
See full list of supported init args and their descriptions in the params section.