Bump the pip group across 1 directory with 4 updates

[dependabot]

Bumps the pip group with 4 updates in the / directory: langchain, langchain-community, langchain-core and langchain-experimental.

Updates langchain from 0.1.6 to 0.3.0

Release notes

Sourced from langchain's releases.

langchain-anthropic==0.3.0

Version 0.39.0 of the Anthropic Python SDK enables support for Python 3.13. This involved the deletion of a legacy client.count_tokens method. langchain-anthropic 0.3.0 drops support for token counting via this method on the Anthropic LLM.

Anthropic has replaced this functionality with the client.beta.messages.count_tokens() API. This release adds support for token counting using this API via ChatAnthropic.get_num_tokens_from_messages. This required adding an optional tools parameter to the signature of .get_num_tokens_from_messages.

Changes since langchain-anthropic==0.2.4

anthropic[major]: release 0.3.0 (#28063) anthropic[major]: support python 3.13 (#27916) anthropic[patch]: remove retired model from tests (#27965)

langchain-tests==0.3.0

Initial langchain-tests release

langchain-openai==0.3.0

langchain-openai==0.3 implements two breaking changes:

Structured output

We update the default method parameter for ChatOpenAI(...).with_structured_output(method=<method>) from method="function_calling" to method="json_schema".

• "json_schema" (0.3 default) uses OpenAI's dedicated structured output feature to get a structured response
• "function_calling" (0.2 default) uses function calling to get a structured response

For schemas specified via TypedDict or JSON schema, strict schema validation is disabled by default but can be enabled by specifying strict=True.

Note: conceptually there is a difference between forcing a tool call and forcing a response format. Tool calls may have more concise arguments versus generating content adhering to a schema. Prompts may need to be adjusted to recover desired behavior.

How to retain the 0.2 with_structured_output behavior after upgrading to 0.3

To change this behavior back, you can pass method="function_calling" to your with_structured_output calls that you want to switch the behavior back.

Expected errors

1. Models that don’t support method="json_schema" (e.g., gpt-4 and gpt-3.5-turbo, currently the default model for ChatOpenAI) will raise an error unless method is explicitly specified. To recover the previous default, pass method="function_calling" into with_structured_output.

2. Schemas specified via Pydantic BaseModel that have fields with non-null defaults or metadata (like min/max constraints) will raise an error. To recover the previous default, pass method="function_calling" into with_structured_output. See OpenAI's docs for supported schemas.

Optional parameters

We no longer implement non-null defaults for temperature, max_retires, and n, which are optional fields. In particular, we no longer specify a default temperature of 0.7.

The previous defaults can be set by specifying:

• temperature=0.7
• max_retries=2
• n=1

langchain-community==0.2.19

Changes since langchain-community==0.3.6

... (truncated)

Commits

• 58c7414 langchain: release 0.3.0 (#26462)
• 125c989 huggingface: release 0.1 (#26463)
• f7ae12f openai[minor]: Release 0.2.0 (#26464)
• d1462ba text-splitters: release 0.3 (#26460)
• 9b30bdc mistralai: release 0.2 (#26458)
• 3125a89 infra: fix min version (#26461)
• 44791ce infra: rm pydantic from min version test (#26459)
• fa8e0d9 docs: update version docs (#26457)
• 222caae infra: fix release (#26455)
• d46ab19 core: release 0.3.0 (#26453)
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Updates langchain-community from 0.0.20 to 0.2.9

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Updates langchain-core from 0.1.23 to 0.1.35

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Updates langchain-experimental from 0.0.49 to 0.0.61

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[dependabot]

Superseded by #2.