40 Commits

Author SHA1 Message Date
Mason Daugherty
750721b4c3 huggingface[patch]: ruff fixes and rules (#31912)
* bump ruff deps
* add more thorough ruff rules
* fix said rules
2025-07-08 10:07:57 -04:00
Mason Daugherty
2a7645300c anthropic[patch]: ruff fixes and rules (#31899)
* bump ruff deps
* add more thorough ruff rules
* fix said rules
2025-07-07 18:32:27 -04:00
Mason Daugherty
645e25f624 langchain-anthropic[patch]: Add ruff bandit rules (#31789) 2025-06-30 14:00:53 -04:00
ccurme
b02bd67788 anthropic[patch]: cache clients (#31659) 2025-06-25 14:49:02 -04:00
ccurme
580986b260 anthropic: support for code execution, MCP connector, files API features (#31340)
Support for the new [batch of beta
features](https://www.anthropic.com/news/agent-capabilities-api)
released yesterday:

- [Code
execution](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/code-execution-tool)
- [MCP
connector](https://docs.anthropic.com/en/docs/agents-and-tools/mcp-connector)
- [Files
API](https://docs.anthropic.com/en/docs/build-with-claude/files)

Also verified support for [prompt cache
TTL](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#1-hour-cache-duration-beta).
2025-05-27 12:45:45 -04:00
ccurme
b5b90b5929 anthropic[patch]: be robust to null fields when translating usage metadata (#31151) 2025-05-07 18:30:21 +00:00
Ben Gladwell
da59eb7eb4 anthropic: Allow kwargs to pass through when counting tokens (#31082)
- **Description:** `ChatAnthropic.get_num_tokens_from_messages` does not
currently receive `kwargs` and pass those on to
`self._client.beta.messages.count_tokens`. This is a problem if you need
to pass specific options to `count_tokens`, such as the `thinking`
option. This PR fixes that.
- **Issue:** N/A
- **Dependencies:** None
- **Twitter handle:** @bengladwell

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-30 17:56:22 -04:00
Ahmed Tammaa
589bc19890 anthropic[patch]: make description optional on AnthropicTool (#30935)
PR Summary

This change adds a fallback in ChatAnthropic.with_structured_output() to
handle Pydantic models that don’t include a docstring. Without it,
calling:
```py
from pydantic import BaseModel
from langchain_anthropic import ChatAnthropic

class SampleModel(BaseModel):
    sample_field: str

llm = ChatAnthropic(
    model="claude-3-7-sonnet-latest"
).with_structured_output(SampleModel.model_json_schema())

llm.invoke("test")
```
will raise a
```
KeyError: 'description'
```
because Pydantic omits the description field when no docstring is
present.

This issue doesn’t occur when using ChatOpenAI or if you add a docstring
to the model:
```py
from pydantic import BaseModel
from langchain_openai import ChatOpenAI

class SampleModel(BaseModel):
    """Schema for sample_field output."""
    sample_field: str

llm = ChatOpenAI(
    model="gpt-4o-mini"
).with_structured_output(SampleModel.model_json_schema())

llm.invoke("test")
```

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-21 10:44:39 -04:00
Konsti-s
017c8079e1 partners: ChatAnthropic supports urls (#30809)
**Description:**
partners-anthropic: ChatAnthropic supports b64 and urls in the
part[image_url][url] message variable

**Issue**:
ChatAnthropic right now only supports b64 encoded images in the
part[image_url][url] message variable. This PR enables ChatAnthropic to
also accept image urls in said variable and makes it compatible with
OpenAI messages to make model switching easier.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-18 15:15:45 -04:00
ccurme
86d51f6be6 multiple: permit optional fields on multimodal content blocks (#30887)
Instead of stuffing provider-specific fields in `metadata`, they can go
directly on the content block.
2025-04-17 12:48:46 +00:00
ccurme
9cfe6bcacd multiple: multi-modal content blocks (#30746)
Introduces standard content block format for images, audio, and files.

## Examples

Image from url:
```
{
    "type": "image",
    "source_type": "url",
    "url": "https://path.to.image.png",
}
```


Image, in-line data:
```
{
    "type": "image",
    "source_type": "base64",
    "data": "<base64 string>",
    "mime_type": "image/png",
}
```


PDF, in-line data:
```
{
    "type": "file",
    "source_type": "base64",
    "data": "<base64 string>",
    "mime_type": "application/pdf",
}
```


File from ID:
```
{
    "type": "file",
    "source_type": "id",
    "id": "file-abc123",
}
```


Plain-text file:
```
{
    "type": "file",
    "source_type": "text",
    "text": "foo bar",
}
```
2025-04-15 09:48:06 -04:00
Sydney Runkle
8c6734325b partners[lint]: run pyupgrade to get code in line with 3.9 standards (#30781)
Using `pyupgrade` to get all `partners` code up to 3.9 standards
(mostly, fixing old `typing` imports).
2025-04-11 07:18:44 -04:00
Erick Friis
f1d783748a anthropic: sdk bump (#28820) 2024-12-19 15:39:21 +00:00
ccurme
1538ee17f9 anthropic[major]: support python 3.13 (#27916)
Last week Anthropic released version 0.39.0 of its python sdk, which
enabled support for Python 3.13. This release deleted a legacy
`client.count_tokens` method, which we currently access during init of
the `Anthropic` LLM. Anthropic has replaced this functionality with the
[client.beta.messages.count_tokens()
API](https://github.com/anthropics/anthropic-sdk-python/pull/726).

To enable support for `anthropic >= 0.39.0` and Python 3.13, here we
drop support for the legacy token counting method, and add support for
the new method via `ChatAnthropic.get_num_tokens_from_messages`.

To fully support the token counting API, we update the signature of
`get_num_tokens_from_message` to accept tools everywhere.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-11-12 14:31:07 -05:00
Bagatur
6691202998 anthropic[patch]: allow multiple sys not at start (#27725) 2024-10-30 23:56:47 +00:00
Bagatur
0b8416bd2e anthropic[patch]: fix input_tokens when cached (#27125) 2024-10-04 22:35:51 +00:00
Bagatur
1e768a9ec7 anthropic[patch]: correctly handle tool msg with empty list (#27109) 2024-10-04 11:30:50 -07:00
Bagatur
4935a14314 core,integrations[minor]: Dont error on fields in model_kwargs (#27110)
Given the current erroring behavior, every time we've moved a kwarg from
model_kwargs and made it its own field that was a breaking change.
Updating this behavior to support the old instantiations /
serializations.

Assuming build_extra_kwargs was not something that itself is being used
externally and needs to be kept backwards compatible
2024-10-04 11:30:27 -07:00
Bagatur
0495b7f441 anthropic[patch]: add usage_metadata details (#27087)
fixes https://github.com/langchain-ai/langchain/pull/27087
2024-10-04 08:46:49 -07:00
Bagatur
5ced41bf50 anthropic[patch]: fix tool call and tool res image_url handling (#26587)
Co-authored-by: ccurme <chester.curme@gmail.com>
2024-09-17 14:30:07 -07:00
Erick Friis
c2a3021bb0 multiple: pydantic 2 compatibility, v0.3 (#26443)
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
2024-09-13 14:38:45 -07:00
Bagatur
eec7bb4f51 anthropic[patch]: Release 0.1.23 (#25394) 2024-08-14 09:03:39 -07:00
Bagatur
a6d1fb4275 core[patch]: introduce ToolMessage.status (#24628)
Anthropic models (including via Bedrock and other cloud platforms)
accept a status/is_error attribute on tool messages/results
(specifically in `tool_result` content blocks for Anthropic API). Adding
a ToolMessage.status attribute so that users can set this attribute when
using those models
2024-07-29 14:01:53 -07:00
ccurme
73c76b9628 anthropic[patch]: always add tool_result type to ToolMessage content (#22721)
Anthropic tool results can contain image data, which are typically
represented with content blocks having `"type": "image"`. Currently,
these content blocks are passed as-is as human/user messages to
Anthropic, which raises BadRequestError as it expects a tool_result
block to follow a tool_use.

Here we update ChatAnthropic to nest the content blocks inside a
tool_result content block.

Example:
```python
import base64

import httpx
from langchain_anthropic import ChatAnthropic
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
from langchain_core.pydantic_v1 import BaseModel, Field


# Fetch image
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")


class FetchImage(BaseModel):
    should_fetch: bool = Field(..., description="Whether an image is requested.")


llm = ChatAnthropic(model="claude-3-sonnet-20240229").bind_tools([FetchImage])

messages = [
    HumanMessage(content="Could you summon a beautiful image please?"),
    AIMessage(
        content=[
            {
                "type": "tool_use",
                "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx",
                "name": "FetchImage",
                "input": {"should_fetch": True},
            },
        ],
        tool_calls=[
            {
                "name": "FetchImage",
                "args": {"should_fetch": True},
                "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx",
            },
        ],
    ),
    ToolMessage(
        name="FetchImage",
        content=[
            {
                "type": "image",
                "source": {
                    "type": "base64",
                    "media_type": "image/jpeg",
                    "data": image_data,
                },
            },
        ],
        tool_call_id="toolu_01Rn6Qvj5m7955x9m9Pfxbcx",
    ),
]

llm.invoke(messages)
```

Trace:
https://smith.langchain.com/public/d27e4fc1-a96d-41e1-9f52-54f5004122db/r
2024-06-13 20:14:23 -07:00
Bagatur
cb183a9bf1 docs: update anthropic chat model (#22483)
Related to #22296

And update anthropic to accept base_url
2024-06-04 12:42:06 -07:00
Bagatur
678a19a5f7 infra: bump anthropic mypy 1 (#22373) 2024-06-03 08:21:55 -07:00
Bagatur
a8098f5ddb anthropic[patch]: Release 0.1.15, fix sdk tools break (#22369) 2024-05-31 12:10:22 -07:00
Bagatur
baa3c975cb anthropic[patch]: allow tool call mutation (#22130)
If tool_use blocks and tool_calls with overlapping IDs are present,
prefer the values of the tool_calls. Allows for mutating AIMessages just
via tool_calls.
2024-05-24 08:18:14 -07:00
ccurme
fbfed65fb1 core, partners: add token usage attribute to AIMessage (#21944)
```python
class UsageMetadata(TypedDict):
    """Usage metadata for a message, such as token counts.

    Attributes:
        input_tokens: (int) count of input (or prompt) tokens
        output_tokens: (int) count of output (or completion) tokens
        total_tokens: (int) total token count
    """

    input_tokens: int
    output_tokens: int
    total_tokens: int
```
```python
class AIMessage(BaseMessage):
    ...
    usage_metadata: Optional[UsageMetadata] = None
    """If provided, token usage information associated with the message."""
    ...
```
2024-05-23 14:21:58 -04:00
Bagatur
6416d16d39 anthropic[patch]: Release 0.1.13, tool_choice support (#21773) 2024-05-16 17:56:29 +00:00
aditya thomas
b868c78a12 partners[anthropic]: update unit test for key passed in from the environment (#21290)
**Description:** Update unit test for ChatAnthropic
**Issue:** Test for key passed in from the environment should not have
the key initialized in the constructor
**Dependencies:** None
2024-05-05 16:19:10 -04:00
aditya thomas
8b59bddc03 anthropic[patch]: add tests for secret_str for api key (#20986)
**Description:** Add tests to check API keys are masked
**Issue:** Resolves
https://github.com/langchain-ai/langchain/issues/12165 for Anthropic
models
**Dependencies:** None
2024-04-29 10:39:14 -04:00
Bagatur
54e9271504 anthropic[patch]: fix msg mutation (#20572) 2024-04-17 15:47:19 -07:00
Bagatur
96d8769eae anthropic[patch]: release 0.1.9, use tool calls if content is empty (#20535) 2024-04-16 15:27:29 -07:00
Bagatur
a27d88f12a anthropic[patch]: standardize init args (#20161)
Related to #20085
2024-04-08 12:09:06 -05:00
Bagatur
209de0a561 anthropic[minor]: tool use (#20016) 2024-04-04 13:22:48 -07:00
Bagatur
b15c7fdde6 anthropic[patch]: fix response metadata type (#19683) 2024-03-27 23:16:26 -07:00
Erick Friis
3b5bdbfee8 anthropic[minor]: package move (#17974) 2024-02-25 21:57:26 -08:00
Bagatur
5c2538b9f7 anthropic[patch]: allow pop by field name (#16544)
allow `ChatAnthropicMessages(model=...)`
2024-01-24 15:48:31 -07:00
Erick Friis
8a3360edf6 anthropic: beta messages integration (#14928) 2023-12-19 18:55:19 -08:00