langchain

Commit Graph

Author	SHA1	Message	Date
maang-h	9aba9e3e33	community[patch]: Update the default “API URL” and “MODEL” of sparkllm (#22070 ) - Description: When I was running the sparkllm, I found that the default parameters currently used could no longer run correctly. - original parameters & values: - spark_api_url: "wss://spark-api.xf-yun.com/v3.1/chat" - spark_llm_domain: "generalv3" ```python # example from langchain_community.chat_models import ChatSparkLLM spark = ChatSparkLLM(spark_app_id="my_app_id", spark_api_key="my_api_key", spark_api_secret="my_api_secret") spark.invoke("hello") ``` ![sparkllm](https://github.com/langchain-ai/langchain/assets/55082429/5369bfdf-4305-496a-bcf5-2d3f59d39414) So I updated them to 3.5 (same as sparkllm official website). After the update, they can be used normally. - new parameters & values: - spark_api_url: "wss://spark-api.xf-yun.com/v3.5/chat" - spark_llm_domain: "generalv3.5"	4 months ago
Bagatur	50186da0a1	infra: rm unused # noqa violations (#22049 ) Updating #21137	4 months ago
HuiyuanYan	bf3aefce93	community[patch]: Update tongyi.py to support MultimodalConversation in dashscope. (#21249 ) Add the support of multimodal conversation in dashscope,now we can use multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1", "qwen-audio-turbo" to processing picture an audio. :) - [ ] PR title: "community: add multimodal conversation support in dashscope" - [ ] PR message: *Delete this entire checklist* and replace with - Description: add multimodal conversation support in dashscope - Issue: - Dependencies: dashscope≥1.18.0 - Twitter handle: none :) - [ ] How to use it?: - ```python Tongyi_chat = ChatTongyi( top_p=0.5, dashscope_api_key=api_key, model="qwen-vl-v1" ) response= Tongyi_chat.invoke( input = [ { "role": "user", "content": [ {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"}, {"text": "这是什么?"} ] } ] ) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
MSubik	d948783a4c	community[patch]: standardize init args, update for javelin sdk release. (#21980 ) Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) Updated the Javelin chat model to standardize the initialization argument. Also fixed an existing bug, where code was initialized with incorrect call to the JavelinClient defined in the javelin_sdk, resulting in an initialization error. See related [Javelin Documentation](https://docs.getjavelin.io/docs/javelin-python/quickstart).	4 months ago
Eugene Yurtsev	58360a1e53	community[patch]: Add unit test to verify that init is correctly defined (#22030 ) Fix some __init__ files and add a unit test	4 months ago
WeichenXu	b0ef5e778a	community[patch]: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk (#21897 ) Thank you for contributing to LangChain! - [X] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" Description: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com>	4 months ago
Pengcheng Liu	4cf523949a	community[patch]: Update model client to support vision model in Tong… (#21474 ) - Description: Tongyi uses different client for chat model and vision model. This PR chooses proper client based on model name to support both chat model and vision model. Reference [tongyi document](https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-qianwen-vl-plus-api?spm=a2c4g.11186623.0.0.27404c9a7upm11) for details. ``` from langchain_core.messages import HumanMessage from langchain_community.chat_models import ChatTongyi llm = ChatTongyi(model_name='qwen-vl-max') image_message = { "image": "https://lilianweng.github.io/posts/2023-06-23-agent/agent-overview.png" } text_message = { "text": "summarize this picture", } message = HumanMessage(content=[text_message, image_message]) llm.invoke([message]) ``` - Issue: None - Dependencies: None - Twitter handle: None	4 months ago
Param Singh	d07885f8b7	community[patch]: standardized sparkllm init args (#21633 ) Related to #20085 @baskaryan Thank you for contributing to LangChain! community:sparkllm[patch]: standardized init args updated `spark_api_key` so that aliased to `api_key`. Added integration test for `sparkllm` to test that it continues to set the same underlying attribute. updated temperature with Pydantic Field, added to the integration test. Ran `make format`,`make test`, `make lint`, `make spell_check`	4 months ago
TJ	8cd6ed3e1e	community[patch]: Update documentation string in databricks chat model (#21915 ) Update typos in documentation string in databricks chat model	4 months ago
Kyle Cassidy	eca8c4bcc6	Standardized openai init params (#21739 ) ## Patch Summary community:openai[patch]: standardize init args ## Details I made changes to the OpenAI Chat API wrapper test in the Langchain open-source repository - File: `libs/community/tests/unit_tests/chat_models/test_openai.py` - Changes: - Updated `max_retries` with Pydantic Field - Updated the corresponding unit test - Related Issues: #20085 - Updated max_retries with Pydantic Field, updated the unit test. --------- Co-authored-by: JuHyung Son <sonju0427@gmail.com>	4 months ago
ccurme	19e6bf814b	community: fix CI (#21766 )	4 months ago
Cheese	0ead09f84d	community: Implement `bind_tools` for ChatTongyi (#20725 ) ## Description Implement `bind_tools` in ChatTongyi. Usage example: ```py from langchain_core.tools import tool from langchain_community.chat_models.tongyi import ChatTongyi @tool def multiply(first_int: int, second_int: int) -> int: """Multiply two integers together.""" return first_int * second_int llm = ChatTongyi(model="qwen-turbo") llm_with_tools = llm.bind_tools([multiply]) msg = llm_with_tools.invoke("What's 5 times forty two") print(msg) ``` Streaming is also supported. ## Dependencies No Dependency is required for this change. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
Jofthomas	afd85b60fc	huggingface: init package (#21097 ) First Pr for the langchain_huggingface partner Package - Moved some of the hugging face related class from `community` to the new `partner package` Still needed : - Documentation - Tests - Support for the new apply_chat_template in `ChatHuggingFace` - Confirm choice of class to support for embeddings witht he sentence-transformer team. cc : @efriis --------- Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Eugene Yurtsev	25fbe356b4	community[patch]: upgrade to recent version of mypy (#21616 ) This PR upgrades community to a recent version of mypy. It inserts type: ignore on all existing failures.	4 months ago
Dobiichi-Origami	5b00885b49	community: add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` (#21412 ) …Endpoint` Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	5 months ago
Guangdong Liu	1fe66f5d39	community(patch) fix MoonshotChat moonshot_api_key is invaild for api key (#21361 ) Description: close https://github.com/langchain-ai/langchain/issues/21237 @baskaryan, @eyurtsev	5 months ago
nrpd25	95cc8e3fc3	premai[patch]:Standardized model init args (#21308 ) [Standardized model init args #20085](https://github.com/langchain-ai/langchain/issues/20085) - Enable premai chat model to be initialized with `model_name` as an alias for `model`, `api_key` as an alias for `premai_api_key`. - Add initialization test `test_premai_initialization` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Param Singh	fee91d43b7	baichuan[patch]:standardize chat init args (#21298 ) Thank you for contributing to LangChain! community:baichuan[patch]: standardize init args updated `baichuan_api_key` so that aliased to `api_key`. Added test that it continues to set the same underlying attribute. Test checks for `SecretStr` updated `temperature` with Pydantic Field, added unit test. Related to https://github.com/langchain-ai/langchain/issues/20085	5 months ago
ccurme	6da3d92b42	(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265 ) We are pushing out the removal of these to 0.3. `find . -type f -name "*.py" -exec sed -i '' 's/removal="0\.2/removal="0.3/g' {} +`	5 months ago
Charlie Marsh	8f38b7a725	multiple: Remove unnecessary Ruff suppression comments (#21050 ) ## Summary I ran `ruff check --extend-select RUF100 -n` to identify `# noqa` comments that weren't having any effect in Ruff, and then `ruff check --extend-select RUF100 -n --fix` on select files to remove all of the unnecessary `# noqa: F401` violations. It's possible that these were needed at some point in the past, but they're not necessary in Ruff v0.1.15 (used by LangChain) or in the latest release. Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	85094cbb3a	docs: community docstring updates (#21040 ) Added missed docstrings. Updated docstrings to consistent format.	5 months ago
Rodrigo Nogueira	90f19028e5	community[patch]: Add maritalk streaming (sync and async) (#19203 ) Co-authored-by: RosevalJr <rdmalajr@gmail.com> Co-authored-by: Roseval Donisete Malaquias Junior <roseval@maritaca.ai>	5 months ago
chyroc	3e241956d3	community[minor]: add coze chat model (#20770 ) add coze chat model, to call coze.com apis	5 months ago
Andrei Panferov	b3efa38cc0	community[patch]: GigaChat model selection fix (#20988 ) Fixed the error that the model name is never actually put into GigaChat request payload, always defaulting to `GigaChat-Lite`. With this fix, model selection through ```python import os from langchain.chat_models.gigachat import GigaChat chat = GigaChat( name="GigaChat-Pro", # <- HERE!!!!! ... ) ``` should actually work, as intended in [here](`804390ba4b/libs/community/langchain_community/llms/gigachat.py (L36)`). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Leonid Ganeline	dc7c06bc07	community[minor]: import fix (#20995 ) Issue: When the third-party package is not installed, whenever we need to `pip install <package>` the ImportError is raised. But sometimes, the `ValueError` or `ModuleNotFoundError` is raised. It is bad for consistency. Change: replaced the `ValueError` or `ModuleNotFoundError` with `ImportError` when we raise an error with the `pip install <package>` message. Note: Ideally, we replace all `try: import... except... raise ... `with helper functions like `import_aim` or just use the existing [langchain_core.utils.utils.guard_import](https://api.python.langchain.com/en/latest/utils/langchain_core.utils.utils.guard_import.html#langchain_core.utils.utils.guard_import) But it would be much bigger refactoring. @baskaryan Please, advice on this.	5 months ago
ccurme	481d3855dc	patch: remove usage of llm, chat model __call__ (#20788 ) - `llm(prompt)` -> `llm.invoke(prompt)` - `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`) - `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt, config={"callbacks": callbacks})` - `llm(prompt, kwargs)` -> `llm.invoke(prompt, kwargs)`	5 months ago
JeffKatzy	5ab3f9a995	community[patch]: standardize chat init args (#20844 ) Thank you for contributing to LangChain! community:perplexity[patch]: standardize init args updated pplx_api_key and request_timeout so that aliased to api_key, and timeout respectively. Added test that both continue to set the same underlying attributes. Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Nestor Qin	9111d3a636	community[patch]: Fix message formatting for Anthropic models on Amazon Bedrock (#20801 ) Description: This PR fixes an issue in message formatting function for Anthropic models on Amazon Bedrock. Currently, LangChain BedrockChat model will crash if it uses Anthropic models and the model return a message in the following type: - `AIMessageChunk` Moreover, when use BedrockChat with for building Agent, the following message types will trigger the same issue too: - `HumanMessageChunk` - `FunctionMessage` Issue: https://github.com/langchain-ai/langchain/issues/18831 Dependencies: No. Testing: Manually tested. The following code was failing before the patch and works after. ``` @tool def square_root(x: str): "Useful when you need to calculate the square root of a number" return math.sqrt(int(x)) llm = ChatBedrock( model_id="anthropic.claude-3-sonnet-20240229-v1:0", model_kwargs={ "temperature": 0.0 }, ) prompt = ChatPromptTemplate.from_messages( [ ("system", FUNCTION_CALL_PROMPT), ("human", "Question: {user_input}"), MessagesPlaceholder(variable_name="agent_scratchpad"), ] ) tools = [square_root] tools_string = format_tool_to_anthropic_function(square_root) agent = ( RunnablePassthrough.assign( user_input=lambda x: x['user_input'], agent_scratchpad=lambda x: format_to_openai_function_messages( x["intermediate_steps"] ) ) \| prompt \| llm \| AnthropicFunctionsAgentOutputParser() ) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, return_intermediate_steps=True) output = agent_executor.invoke({ "user_input": "What is the square root of 2?", "tools_string": tools_string, }) ``` List of messages returned from Bedrock: ``` <SystemMessage> content='You are a helpful assistant.' <HumanMessage> content='Question: What is the square root of 2?' <AIMessageChunk> content="Okay, let's calculate the square root of 2.<scratchpad>\nTo calculate the square root of a number, I can use the square_root tool:\n\n<function_calls>\n <invoke>\n <tool_name>square_root</tool_name>\n <parameters>\n <__arg1>2</__arg1>\n </parameters>\n </invoke>\n</function_calls>\n</scratchpad>\n\n<function_results>\n<search_result>\nThe square root of 2 is approximately 1.414213562373095\n</search_result>\n</function_results>\n\n<answer>\nThe square root of 2 is approximately 1.414213562373095\n</answer>" id='run-92363df7-eff6-4849-bbba-fa16a1b2988c'" <FunctionMessage> content='1.4142135623730951' name='square_root' ```	5 months ago
Congyu	dd5139e304	community[patch]: truncate zhipuai `temperature` and `top_p` parameters to [0.01, 0.99] (#20261 ) ZhipuAI API only accepts `temperature` parameter between `(0, 1)` open interval, and if `0` is passed, it responds with status code `400`. However, 0 and 1 is often accepted by other APIs, for example, OpenAI allows `[0, 2]` for temperature closed range. This PR truncates temperature parameter passed to `[0.01, 0.99]` to improve the compatibility between langchain's ecosystem's and ZhipuAI (e.g., ragas `evaluate` often generates temperature 0, which results in a lot of 400 invalid responses). The PR also truncates `top_p` parameter since it has the same restriction. Reference: [glm-4 doc](https://open.bigmodel.cn/dev/api#glm-4) (which unfortunately is in Chinese though). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
zR	9c1d7f2405	update zhipuai notebook (#20595 ) fix timeout issue fix zhipuai usecase notebookbook Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Erick Friis	e395115807	docs: aws docs updates (#20571 )	5 months ago
Erick Friis	f09bd0b75b	upstage: init package (#20574 ) Co-authored-by: Sean Cho <sean@upstage.ai> Co-authored-by: JuHyung-Son <sonju0427@gmail.com>	5 months ago
Pengcheng Liu	ecd19a9e58	community[patch]: Add function call support in Tongyi chat model. (#20119 ) - [ ] PR message: - Description: This pr adds function calling support in Tongyi chat model. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Sevin F. Varoglu	3f156e0ece	community[minor]: add ChatOctoAI (#20059 ) This PR adds ChatOctoAI, a chat model integration for OctoAI.	5 months ago
Eun Hye Kim	b34f1086fe	community[patch]: Add streaming logic in ChatHuggingFace (#18784 ) - Add functions (_stream, _astream) - Connect to _generate and _agenerate Thank you for contributing to LangChain! - [x] PR title: "community: Add streaming logic in ChatHuggingFace" - [x] PR message: *Delete this entire checklist* and replace with - Description: Addition functions (_stream, _astream) and connection to _generate and _agenerate - Issue: #18782 - Dependencies: none - Twitter handle: @lunara_x	5 months ago
Guangdong Liu	b78ede2f96	community[patch]: standardize init args (#20166 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Guangdong Liu	3729bec1a2	community[patch]: standardize init args (#20210 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
WeichenXu	e9fc87aab1	community[patch]: Make ChatDatabricks model supports streaming response (#19912 ) Description: Make ChatDatabricks model supports stream Issue: N/A Dependencies: MLflow nightly build version (we will release next MLflow version soon) Twitter handle: N/A Manually test: (Before testing, please install `pip install git+https://github.com/mlflow/mlflow.git`) ```python # Test Databricks Foundation LLM model from langchain.chat_models import ChatDatabricks chat_model = ChatDatabricks( endpoint="databricks-llama-2-70b-chat", max_tokens=500 ) from langchain_core.messages import AIMessageChunk for chunk in chat_model.stream("What is mlflow?"): print(chunk.content, end="\|") ``` - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
P. Taylor Goetz	9317df7f16	community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354 ) Example Ollama API calls: Request without "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` {"error":"model is required"} ``` Request with "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "model": "openchat", "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` { "eval_duration" : 733248000, "created_at" : "2024-04-11T23:04:08.735766843Z", "model" : "openchat", "message" : { "content" : " The capital city of Pennsylvania is Harrisburg.", "role" : "assistant" }, "total_duration" : 3138731168, "prompt_eval_count" : 25, "load_duration" : 466562959, "done" : true, "prompt_eval_duration" : 1938495000, "eval_count" : 10 } ```	5 months ago
Leonid Ganeline	7cf2d2759d	community[patch]: docstrings update (#20301 ) Added missed docstrings. Format docstings to the consistent form.	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110 ) This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	6 months ago
Shuqian	ad9750403b	community[minor]: add bedrock anthropic callback for token usage counting (#19864 ) Description: add bedrock anthropic callback for token usage counting, consulted openai callback. --------- Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>	6 months ago
Prince Canuma	1f9f4d8742	community[minor]: Add support for MLX models (chat & llm) (#18152 ) Description: This PR adds support for MLX models both chat (i.e., instruct) and llm (i.e., pretrained) types/ Dependencies: mlx, mlx_lm, transformers Twitter handle: @Prince_Canuma --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160 ) Part of #20085	6 months ago
Chenhui Zhang	a1f3e9f537	community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695 ) Description: Update `ChatZhipuAI` to support the latest `glm-4` model. Issue: N/A Dependencies: httpx, httpx-sse, PyJWT The previous `ChatZhipuAI` implementation requires the `zhipuai` package, and cannot call the latest GLM model. This is because - The old version `zhipuai==1.` doesn't support the latest model. - `zhipuai==2.` requires `pydantic V2`, which is incompatible with 'langchain-community'. This re-implementation invokes the GLM model by sending HTTP requests to [open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx` package, and uses the `httpx-sse` package to handle stream events. --------- Co-authored-by: zR <2448370773@qq.com>	6 months ago
ethynic	e9caa22d47	community[patch]: Update minimax.py (#14384 ) MiniMaxChat class _generate method shoud return a ChatResult object not str Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100 )	6 months ago
Sachin Paryani	25c9f3d1d1	community[patch]: Support Streaming in Azure Machine Learning (#18246 ) - [x] PR title: "community: Support streaming in Azure ML and few naming changes" - [x] PR message: - Description: Added support for streaming for azureml_endpoint. Also, renamed and AzureMLEndpointApiType.realtime to AzureMLEndpointApiType.dedicated. Also, added new classes CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and updated the classes LlamaChatContentFormatter and LlamaContentFormatter to now show a deprecated warning message when instantiated. --------- Co-authored-by: Sachin Paryani <saparan@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago

1 2 3

150 Commits (9a010fb761f1bd55d185547729707ef62d8330f7)