145 Commits (12190ad7284f9cff6757a7dc7a133623c2e6368a)

Author	SHA1	Message	Date
seray	add31f46d0	community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007) ... Same changes as this merged [PR](https://github.com/langchain-ai/langchain/pull/17478) (https://github.com/langchain-ai/langchain/pull/17478), but for the async client, as the same issues persist. - Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to 'outputs'. reference: 66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135) - Added timeout parameter for the async client. --------- Co-authored-by: Seray Arslan <seray.arslan@knime.com>	3 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>	3 months ago
Alex Sherstinsky	5f563e040a	community: extend Predibase integration to support fine-tuned LLM adapters (#19979) ... - [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:** Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - **Twitter handle:** `@alexsherstinsky` - [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. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Cheng, Penghui	cc407e8a1b	community[minor]: weight only quantization with intel-extension-for-transformers. (#14504) ... Support weight only quantization with intel-extension-for-transformers. [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit to accelerate Transformer-based models on Intel platforms, in particular effective on 4th Intel Xeon Scalable processor [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html) (codenamed Sapphire Rapids). The toolkit provides the below key features: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime. * Optimized Transformer-based model packages. * [NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of plugins and SOTA optimizations. * [Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels. This PR is an integration of weight only quantization feature with intel-extension-for-transformers. Unit test is in lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py The notebook is in docs/docs/integrations/llms/weight_only_quantization.ipynb. The document is in docs/docs/integrations/providers/weight_only_quantization.mdx. --------- Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jamsheed Mistri	4f70bc119d	community[minor]: add Layerup Security integration (#19787) ... **Description:** adds integration with [Layerup Security](https://uselayerup.com). Docs can be found [here](https://docs.uselayerup.com). Integrates directly with our Python SDK. **Dependencies:** [LayerupSecurity](https://pypi.org/project/LayerupSecurity/) **Note**: all methods for our product require a paid API key, so I only included 1 test which checks for an invalid API key response. I have tested extensively locally. **Twitter handle**: [@layerup_](https://twitter.com/layerup_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Kamal Zhang	368e35c3b1	community[patch]: introduce convert_to_secret() to bananadev llm (#14283) ... - **Description:** Per #12165, this PR add to BananaLLM the function convert_to_secret_str() during environment variable validation. - **Issue:** #12165 - **Tag maintainer:** @eyurtsev - **Twitter handle:** @treewatcha75751 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Alex Sherstinsky	a9bc212bf2	community[minor]: fix failing Predibase integration (#19776) ... - [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:** Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - **Twitter handle:** `@alexsherstinsky` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100)	3 months ago
T Cramer	540ebf35a9	community[patch]: Add explicit error message to Bedrock error output. (#17328) ... - **Description:** Propagate Bedrock errors into Langchain explicitly. Use-case: unset region error is hidden behind 'Could not load credentials...' message - **Issue:** [17654](https://github.com/langchain-ai/langchain/issues/17654) - **Dependencies:** None --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 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>	3 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004) ... 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	3 months ago
高璟琦	75173d31db	community[minor]: Add solar model chat model (#18556) ... Add our solar chat models, available model choices: * solar-1-mini-chat * solar-1-mini-translate-enko * solar-1-mini-translate-koen More documents and pricing can be found at https://console.upstage.ai/services/solar. The references to our solar model can be found at * https://arxiv.org/abs/2402.17032 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Davide Menini	f7042321f1	community[patch]: gather token usage info in BedrockChat during generation (#19127) ... This PR allows to calculate token usage for prompts and completion directly in the generation method of BedrockChat. The token usage details are then returned together with the generations, so that other downstream tasks can access them easily. This allows to define a callback for tokens tracking and cost calculation, similarly to what happens with OpenAI (see [OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler). I plan on adding a BedrockCallbackHandler later. Right now keeping track of tokens in the callback is already possible, but it requires passing the llm, as done here: https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html. However, I find the approach of this PR cleaner. Thanks for your reviews. FYI @baskaryan, @hwchase17 --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
ligang-super	a662468dde	community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666) ... - [x] **PR title**: "community: fix baidu qianfan missing stop parameter" - [x] **PR message**: - **Description: Baidu Qianfan lost the stop parameter when requesting service due to extracting it from kwargs. This bug can cause the agent to receive incorrect results --------- Co-authored-by: ligang33 <ligang33@baidu.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Shengsheng Huang	ac1dd8ad94	community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518) ... - **Description**: `bigdl-llm` library has been renamed to [`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR migrates the `bigdl-llm` integration to `ipex-llm` . - **Issue**: N/A. The original PR of `bigdl-llm` is https://github.com/langchain-ai/langchain/pull/17953 - **Dependencies**: `ipex-llm` library - **Contribution maintainer**: @shane-huang Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb Updated test: libs/community/tests/integration_tests/llms/test_ipex_llm.py	3 months ago
Yuki Watanabe	cfecbda48b	community[minor]: Allow passing `allow_dangerous_deserialization` when loading LLM chain (#18894) ... ### Issue Recently, the new `allow_dangerous_deserialization` flag was introduced for preventing unsafe model deserialization that relies on pickle without user's notice (#18696). Since then some LLMs like Databricks requires passing in this flag with true to instantiate the model. However, this breaks existing functionality to loading such LLMs within a chain using `load_chain` method, because the underlying loader function [load_llm_from_config](f96dd57501/libs/langchain/langchain/chains/loading.py (L40)) (and load_llm) ignores keyword arguments passed in. ### Solution This PR fixes this issue by propagating the `allow_dangerous_deserialization` argument to the class loader iff the LLM class has that field. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Dmitry Tyumentsev	08b769d539	community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341) ... Fixed inability to work with [yandexcloud SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0	3 months ago
Mikelarg	dac2e0165a	community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516) ... - **Description:** Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) embeddings. Also added support for extra fields in GigaChat LLM and fixed docs.	3 months ago
billytrend-cohere	63343b4987	cohere[patch]: add cohere as a partner package (#19049) ... Description: adds support for langchain_cohere --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Nikhil Kumar	3d3b46a782	docs: Update docs for `HuggingFacePipeline` (#19306) ... Updated `HuggingFacePipeline` docs to be in sync with list of supported tasks, including translation. - [x] **PR title**: "community: Update docs for `HuggingFacePipeline`" - 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**: - **Description:** Update docs for `HuggingFacePipeline`, was earlier missing `translation` as a valid task - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** None - [x] **Add tests and docs**: - [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/	3 months ago
aditya thomas	515aab3312	community[patch]: invoke callback prior to yielding token (openai) (#19389) ... **Description:** Invoke callback prior to yielding token for BaseOpenAI & OpenAIChat **Issue:** [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) **Dependencies:** None	3 months ago
aditya thomas	49e932cd24	community[patch]: invoke callback prior to yielding token (fireworks) (#19388) ... **Description:** Invoke callback prior to yielding token for Fireworks **Issue:** [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) **Dependencies:** None	3 months ago
aditya thomas	4856a87261	community[patch]: invoke callback prior to yielding token (llama.cpp) (#19392) ... **Description:** Invoke callback prior to yielding token for llama.cpp **Issue:** [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) **Dependencies:** None	3 months ago
Yudhajit Sinha	7d216ad1e1	community[patch]: Invoke callback prior to yielding token (titan_takeoff_pro) (#18624) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/titan_takeoff_pro. - Issue: #16913 - Dependencies: None	4 months ago
Yudhajit Sinha	455a74486b	community[patch]: Invoke callback prior to yielding token (sparkllm) (#18625) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/sparkllm. - Issue: #16913 - Dependencies: None	4 months ago
Yudhajit Sinha	5ac1860484	community[patch]: Invoke callback prior to yielding token (replicate) (#18626) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/replicate. - Issue: #16913 - Dependencies: None	4 months ago
Yudhajit Sinha	9525e392de	community[patch]: Invoke callback prior to yielding token (pai_eas_endpoint) (#18627) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/pai_eas_endpoint. - Issue: #16913 - Dependencies: None	4 months ago
Yudhajit Sinha	140f06e59a	community[patch]: Invoke callback prior to yielding token (openai) (#18628) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/openai. - Issue: #16913 - Dependencies: None	4 months ago
Yudhajit Sinha	280a914920	community[patch]: Invoke callback prior to yielding token (ollama) (#18629) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ & _astream_ methods in llms/ollama. - Issue: #16913 - Dependencies: None	4 months ago
gonvee	b82644078e	community: Add `keep_alive` parameter to control how long the model w… (#19005) ... Add `keep_alive` parameter to control how long the model will stay loaded into memory with Ollama。 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Taqi Jaffri	044bc22acc	Community: Add mistral oss model support to azureml endpoints, plus configurable timeout (#19123) ... - **Description:** There was no formatter for mistral models for Azure ML endpoints. Adding that, plus a configurable timeout (it was hard coded before) - **Dependencies:** none - **Twitter handle:** @tjaffri @docugami	4 months ago
Leonid Ganeline	7de1d9acfd	community: `llms` imports fixes (#18943) ... Classes are missed in __all__ and in different places of __init__.py - BaichuanLLM - ChatDatabricks - ChatMlflow - Llamafile - Mlflow - Together Added classes to __all__. I also sorted __all__ list. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
primate88	5aa68936e0	community: Fix import path for StreamingStdOutCallbackHandler example (#19170) ... - Description: - Updated the import path for `StreamingStdOutCallbackHandler` in the streaming response example within `huggingface_endpoint.py`. This change corrects the import statement to reflect the actual location of `StreamingStdOutCallbackHandler` in `langchain_core.callbacks.streaming_stdout`. - Issue: - None - Dependencies: - No additional dependencies are required for this change. - Twitter handle: - None ## Note: I have tested this change locally and confirmed that the `StreamingStdOutCallbackHandler` works as expected with the updated import path. This PR does not require the addition of new tests since it is a correction to documentation/examples rather than functional code.	4 months ago
Nikhil Kumar	635b3372bd	community[minor]: Add support for translation in HuggingFacePipeline (#19190) ... - [x] **Support for translation**: "community: Add support for translation in `HuggingFacePipeline`" - [x] **Add support for translation in `HuggingFacePipeline`**: - **Description:** Add support for translation in `HuggingFacePipeline`, which earlier used to support only text summarization and generation. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** None	4 months ago
Shuai Liu	c244e1a50b	community[patch]: Fixed bug in merging `generation_info` during chunk concatenation in Tongyi and ChatTongyi (#19014) ... - **Description:** In #16218 , during the `GenerationChunk` and `ChatGenerationChunk` concatenation, the `generation_info` merging changed from simple keys & values replacement to using the util method [`merge_dicts`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py):  The `merge_dicts` method could not handle merging values of `int` or some other types, and would raise a [`TypeError`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py#L55). This PR fixes this issue in the **Tongyi and ChatTongyi Model** by adopting the `generation_info` of the last chunk and discarding the `generation_info` of the intermediate chunks, ensuring that `stream` and `astream` function correctly. - **Issue:** - Related issues or PRs about Tongyi & ChatTongyi: #16605, #17105 - Other models or cases: #18441, #17376 - **Dependencies:** No new dependencies	4 months ago
case-k	ebc4a64f9e	docs: fix databricks document url (#19096) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
billytrend-cohere	7253b816cc	community: Add support for cohere SDK v5 (keeps v4 backwards compatibility) (#19084) ... - **Description:** Add support for cohere SDK v5 (keeps v4 backwards compatibility) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Anis ZAKARI	37e89ba5b1	community[patch]: Bedrock add support for mistral models (#18756) ... *Description**: My previous [PR](https://github.com/langchain-ai/langchain/pull/18521) was mistakenly closed, so I am reopening this one. Context: AWS released two Mistral models on Bedrock last Friday (March 1, 2024). This PR includes some code adjustments to ensure their compatibility with the Bedrock class. --------- Co-authored-by: Anis ZAKARI <anis.zakari@hymaia.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Phat Vo	3ecb903d49	community[patch] : Tidy up and update Clarifai SDK functions (#18314) ... Description : * Tidy up, add missing docstring and fix unused params * Enable using session token	4 months ago
Yunmo Koo	fee6f983ef	community[minor]: Integration for `Friendli` LLM and `ChatFriendli` ChatModel. (#17913) ... ## Description - Add [Friendli](https://friendli.ai/) integration for `Friendli` LLM and `ChatFriendli` chat model. - Unit tests and integration tests corresponding to this change are added. - Documentations corresponding to this change are added. ## Dependencies - Optional dependency [`friendli-client`](https://pypi.org/project/friendli-client/) package is added only for those who use `Frienldi` or `ChatFriendli` model. ## Twitter handle - https://twitter.com/friendliai	4 months ago
Erick Friis	1beb84b061	community[patch]: move pdf text tests to integration (#18746)	4 months ago
Guangdong Liu	ced5e7bae7	community[patch]: Fix sparkllm authentication problem. (#18651) ... - **Description:** fix sparkllm authentication problem.The current timestamp is in RFC1123 format. The time deviation must be controlled within 300s. I changed to re-obtain the url every time I ask a question. https://www.xfyun.cn/doc/spark/general_url_authentication.html#_1-2-%E9%89%B4%E6%9D%83%E5%8F%82%E6%95%B0	4 months ago
Piyush Jain	2b234a4d96	Support for claude v3 models. (#18630) ... Fixes #18513. ## Description This PR attempts to fix the support for Anthropic Claude v3 models in BedrockChat LLM. The changes here has updated the payload to use the `messages` format instead of the formatted text prompt for all models; `messages` API is backwards compatible with all models in Anthropic, so this should not break the experience for any models. ## Notes The PR in the current form does not support the v3 models for the non-chat Bedrock LLM. This means, that with these changes, users won't be able to able to use the v3 models with the Bedrock LLM. I can open a separate PR to tackle this use-case, the intent here was to get this out quickly, so users can start using and test the chat LLM. The Bedrock LLM classes have also grown complex with a lot of conditions to support various providers and models, and is ripe for a refactor to make future changes more palatable. This refactor is likely to take longer, and requires more thorough testing from the community. Credit to PRs [18579](https://github.com/langchain-ai/langchain/pull/18579) and [18548](https://github.com/langchain-ai/langchain/pull/18548) for some of the code here. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Eugene Yurtsev	4c25b49229	community[major]: breaking change in some APIs to force users to opt-in for pickling (#18696) ... This is a PR that adds a dangerous load parameter to force users to opt in to use pickle. This is a PR that's meant to raise user awareness that the pickling module is involved.	4 months ago
Liang Zhang	81985b31e6	community[patch]: Databricks SerDe uses cloudpickle instead of pickle (#18607) ... - **Description:** Databricks SerDe uses cloudpickle instead of pickle when serializing a user-defined function transform_input_fn since pickle does not support functions defined in `__main__`, and cloudpickle supports this. - **Dependencies:** cloudpickle>=2.0.0 Added a unit test.	4 months ago
Yudhajit Sinha	4570b477b9	community[patch]: Invoke callback prior to yielding token (titan_takeoff) (#18560) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/titan_takeoff. - Issue: #16913 - Dependencies: None	4 months ago
Erick Friis	343438e872	community[patch]: deprecate community fireworks (#18544)	4 months ago
William De Vena	275877980e	community[patch]: Invoke callback prior to yielding token (#18447) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message Description: Invoke callback prior to yielding token in _stream method in llms/vertexai. Issue: https://github.com/langchain-ai/langchain/issues/16913 Dependencies: None	4 months ago
William De Vena	67375e96e0	community[patch]: Invoke callback prior to yielding token (#18448) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream method in llms/tongyi. - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None	4 months ago
William De Vena	eb04d0d3e2	community[patch]: Invoke callback prior to yielding token (#18452) ... ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream and _astream methods in llms/anthropic. - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None	4 months ago