20 Commits (e8a82860127ebd572841f9beaab003c3284d9e9a)

Author	SHA1	Message	Date
Bagatur	d96f67b06f	standard-tests[patch]: Update chat model standard tests (#22378) ... - Refactor standard test classes to make them easier to configure - Update openai to support stop_sequences init param - Update groq to support stop_sequences init param - Update fireworks to support max_retries init param - Update ChatModel.bind_tools to type tool_choice - Update groq to handle tool_choice="any". **this may be controversial** --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
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	3 months ago
Bagatur	cb183a9bf1	docs: update anthropic chat model (#22483) ... Related to #22296 And update anthropic to accept base_url	4 months ago
Bagatur	678a19a5f7	infra: bump anthropic mypy 1 (#22373)	4 months ago
Bagatur	a8098f5ddb	anthropic[patch]: Release 0.1.15, fix sdk tools break (#22369)	4 months ago
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.	4 months ago
Eugene Yurtsev	2d693c484e	docs: fix some spelling mistakes caught by newest version of code spell (#22090) ... Going to merge this even though it doesn't pass all tests, and open a separate PR for the remaining spelling mistakes.	4 months ago
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.""" ... ```	4 months ago
Bagatur	6416d16d39	anthropic[patch]: Release 0.1.13, tool_choice support (#21773)	4 months ago
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	5 months ago
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	5 months ago
Bagatur	54e9271504	anthropic[patch]: fix msg mutation (#20572)	5 months ago
Bagatur	96d8769eae	anthropic[patch]: release 0.1.9, use tool calls if content is empty (#20535)	5 months ago
Erick Friis	e6806a08d4	multiple: standard chat model tests (#20359)	5 months ago
Bagatur	a27d88f12a	anthropic[patch]: standardize init args (#20161) ... Related to #20085	6 months ago
Bagatur	209de0a561	anthropic[minor]: tool use (#20016)	6 months ago
Bagatur	b15c7fdde6	anthropic[patch]: fix response metadata type (#19683)	6 months ago
Erick Friis	3b5bdbfee8	anthropic[minor]: package move (#17974)	7 months ago
Bagatur	5c2538b9f7	anthropic[patch]: allow pop by field name (#16544) ... allow `ChatAnthropicMessages(model=...)`	8 months ago
Erick Friis	8a3360edf6	anthropic: beta messages integration (#14928)	9 months ago