langchain

Commit Graph

Author	SHA1	Message	Date
Christophe Bornet	6b2b511f68	core[minor]: Add aformat_messages to FewShotChatMessagePromptTemplate and ChatPromptTemplate (#19648 ) Needed since the example selector may use a vector store.	4 months ago
Leonid Ganeline	5f814820f6	docs: providers pinecone fix (#19737 ) Current providers page use link to the old package. - Fixed installation instructions - Added a reference to the Pinecone retriever	4 months ago
Bob Lin	53a74ad12b	docs: use markdown cell instead of code block (#19740 ) I found that the code of async and async batch was divided into two blocks: <img width="823" alt="Screenshot 2024-03-29 at 7 45 59 AM" src="https://github.com/langchain-ai/langchain/assets/10000925/0fa59d29-a692-4309-afb8-2260f03242ec"> so I changed it to unified.	4 months ago
Ekaterina Aidova	4ce36af335	docs: fix link in openvino integration doc (#19749 ) - Description: fix incorrect link in docs - Dependencies: None	4 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100 )	4 months ago
Gustavo Isturiz	824dccf5e2	docs: fixed xml URL on sitemap docs exmaple, issue #17236 (#17304 )	4 months ago
Ethan Yang	7164015135	community[minor]: Add Openvino embedding support (#19632 ) This PR is used to support both HF and BGE embeddings with openvino --------- Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>	4 months ago
Guangdong Liu	cd55d587c2	langchain[patch]: Upgrade openai's sdk and solve some interface adaptation problems. (#19548 ) - Issue: close #19534	4 months ago
Kirushikesh DB	12861273e1	experimental[patch]: Removed 'SQLResults:' from the LLMResponse in SQLDatabaseChain (#17104 ) Description: When using the SQLDatabaseChain with Llama2-70b LLM and, SQLite database. I was getting `Warning: You can only execute one statement at a time.`. ``` from langchain.sql_database import SQLDatabase from langchain_experimental.sql import SQLDatabaseChain sql_database_path = '/dccstor/mmdataretrieval/mm_dataset/swimming_record/rag_data/swimmingdataset.db' sql_db = get_database(sql_database_path) db_chain = SQLDatabaseChain.from_llm(mistral, sql_db, verbose=True, callbacks = [callback_obj]) db_chain.invoke({ "query": "What is the best time of Lance Larson in men's 100 meter butterfly competition?" }) ``` Error: ``` Warning Traceback (most recent call last) Cell In[31], line 3 1 import langchain 2 langchain.debug=False ----> 3 db_chain.invoke({ 4 "query": "What is the best time of Lance Larson in men's 100 meter butterfly competition?" 5 }) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain/chains/base.py:162, in Chain.invoke(self, input, config, kwargs) 160 except BaseException as e: 161 run_manager.on_chain_error(e) --> 162 raise e 163 run_manager.on_chain_end(outputs) 164 final_outputs: Dict[str, Any] = self.prep_outputs( 165 inputs, outputs, return_only_outputs 166 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain/chains/base.py:156, in Chain.invoke(self, input, config, kwargs) 149 run_manager = callback_manager.on_chain_start( 150 dumpd(self), 151 inputs, 152 name=run_name, 153 ) 154 try: 155 outputs = ( --> 156 self._call(inputs, run_manager=run_manager) 157 if new_arg_supported 158 else self._call(inputs) 159 ) 160 except BaseException as e: 161 run_manager.on_chain_error(e) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_experimental/sql/base.py:198, in SQLDatabaseChain._call(self, inputs, run_manager) 194 except Exception as exc: 195 # Append intermediate steps to exception, to aid in logging and later 196 # improvement of few shot prompt seeds 197 exc.intermediate_steps = intermediate_steps # type: ignore --> 198 raise exc File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_experimental/sql/base.py:143, in SQLDatabaseChain._call(self, inputs, run_manager) 139 intermediate_steps.append( 140 sql_cmd 141 ) # output: sql generation (no checker) 142 intermediate_steps.append({"sql_cmd": sql_cmd}) # input: sql exec --> 143 result = self.database.run(sql_cmd) 144 intermediate_steps.append(str(result)) # output: sql exec 145 else: File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_community/utilities/sql_database.py:436, in SQLDatabase.run(self, command, fetch, include_columns) 425 def run( 426 self, 427 command: str, 428 fetch: Literal["all", "one"] = "all", 429 include_columns: bool = False, 430 ) -> str: 431 """Execute a SQL command and return a string representing the results. 432 433 If the statement returns rows, a string of the results is returned. 434 If the statement returns no rows, an empty string is returned. 435 """ --> 436 result = self._execute(command, fetch) 438 res = [ 439 { 440 column: truncate_word(value, length=self._max_string_length) (...) 443 for r in result 444 ] 446 if not include_columns: File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_community/utilities/sql_database.py:413, in SQLDatabase._execute(self, command, fetch) 410 elif self.dialect == "postgresql": # postgresql 411 connection.exec_driver_sql("SET search_path TO %s", (self._schema,)) --> 413 cursor = connection.execute(text(command)) 414 if cursor.returns_rows: 415 if fetch == "all": File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1416, in Connection.execute(self, statement, parameters, execution_options) 1414 raise exc.ObjectNotExecutableError(statement) from err 1415 else: -> 1416 return meth( 1417 self, 1418 distilled_parameters, 1419 execution_options or NO_OPTIONS, 1420 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/sql/elements.py:516, in ClauseElement._execute_on_connection(self, connection, distilled_params, execution_options) 514 if TYPE_CHECKING: 515 assert isinstance(self, Executable) --> 516 return connection._execute_clauseelement( 517 self, distilled_params, execution_options 518 ) 519 else: 520 raise exc.ObjectNotExecutableError(self) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1639, in Connection._execute_clauseelement(self, elem, distilled_parameters, execution_options) 1627 compiled_cache: Optional[CompiledCacheType] = execution_options.get( 1628 "compiled_cache", self.engine._compiled_cache 1629 ) 1631 compiled_sql, extracted_params, cache_hit = elem._compile_w_cache( 1632 dialect=dialect, 1633 compiled_cache=compiled_cache, (...) 1637 linting=self.dialect.compiler_linting \| compiler.WARN_LINTING, 1638 ) -> 1639 ret = self._execute_context( 1640 dialect, 1641 dialect.execution_ctx_cls._init_compiled, 1642 compiled_sql, 1643 distilled_parameters, 1644 execution_options, 1645 compiled_sql, 1646 distilled_parameters, 1647 elem, 1648 extracted_params, 1649 cache_hit=cache_hit, 1650 ) 1651 if has_events: 1652 self.dispatch.after_execute( 1653 self, 1654 elem, (...) 1658 ret, 1659 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1848, in Connection._execute_context(self, dialect, constructor, statement, parameters, execution_options, args, kw) 1843 return self._exec_insertmany_context( 1844 dialect, 1845 context, 1846 ) 1847 else: -> 1848 return self._exec_single_context( 1849 dialect, context, statement, parameters 1850 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1988, in Connection._exec_single_context(self, dialect, context, statement, parameters) 1985 result = context._setup_result_proxy() 1987 except BaseException as e: -> 1988 self._handle_dbapi_exception( 1989 e, str_statement, effective_parameters, cursor, context 1990 ) 1992 return result File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:2346, in Connection._handle_dbapi_exception(self, e, statement, parameters, cursor, context, is_sub_exec) 2344 else: 2345 assert exc_info[1] is not None -> 2346 raise exc_info[1].with_traceback(exc_info[2]) 2347 finally: 2348 del self._reentrant_error File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1969, in Connection._exec_single_context(self, dialect, context, statement, parameters) 1967 break 1968 if not evt_handled: -> 1969 self.dialect.do_execute( 1970 cursor, str_statement, effective_parameters, context 1971 ) 1973 if self._has_events or self.engine._has_events: 1974 self.dispatch.after_cursor_execute( 1975 self, 1976 cursor, (...) 1980 context.executemany, 1981 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/default.py:922, in DefaultDialect.do_execute(self, cursor, statement, parameters, context) 921 def do_execute(self, cursor, statement, parameters, context=None): --> 922 cursor.execute(statement, parameters) Warning: You can only execute one statement at a time. ``` Issue:* The Error occurs because when generating the SQLQuery, the llm_input includes the stop character of "\nSQLResult:", so for this user query the LLM generated response is SELECT Time FROM men_butterfly_100m WHERE Swimmer = 'Lance Larson';\nSQLResult: it is required to remove the SQLResult suffix on the llm response before executing it on the database. ``` llm_inputs = { "input": input_text, "top_k": str(self.top_k), "dialect": self.database.dialect, "table_info": table_info, "stop": ["\nSQLResult:"], } sql_cmd = self.llm_chain.predict( callbacks=_run_manager.get_child(), llm_inputs, ).strip() if SQL_RESULT in sql_cmd: sql_cmd = sql_cmd.split(SQL_RESULT)[0].strip() result = self.database.run(sql_cmd) ``` <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 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>	4 months ago
Marcus Virginia	69bb96c80f	community[patch]: surrealdb handle for empty metadata and allow collection names with complex characters (#17374 ) - Description: Handle for empty metadata and allow collection names with complex characters - Issue: #17057 - Dependencies: `surrealdb` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
ale-delfino	0df76bee37	core[patch]:: XML parser to cover the case when the xml only contains the root level tag (#17456 ) Description: Fix xml parser to handle strings that only contain the root tag Issue: N/A Dependencies: None Twitter handle: N/A A valid xml text can contain only the root level tag. Example: <body> Some text here </body> The example above is a valid xml string. If parsed with the current implementation the result is {"body": []}. This fix checks if the root level text contains any non-whitespace character and if that's the case it returns {root.tag: root.text}. The result is that the above text is correctly parsed as {"body": "Some text here"} @ale-delfino Thank you for contributing to LangChain! Checklist: - [x] PR title: Please title your PR "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 template message and replace it with the following bulleted list - 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! - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [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. 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: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
kYLe	124ab79c23	community[minor]: Add Anyscale embedding support (#17605 ) Description: Add embedding model support for Anyscale Endpoint Dependencies: openai --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Lance Martin	12843f292f	community[patch]: llama cpp embeddings reset default n_batch (#17594 ) When testing Nomic embeddings -- ``` from langchain_community.embeddings import LlamaCppEmbeddings embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf" embd_lc = LlamaCppEmbeddings(model_path=embd_model_path) embedding_lc = embd_lc.embed_query(query) ``` We were seeing this error for strings > a certain size -- ``` File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count) 824 s_sizes = [] 826 # add to batch --> 827 self._batch.add_sequence(tokens, len(s_sizes), False) 828 t_batch += n_tokens 829 s_sizes.append(n_tokens) File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all) 540 self.batch.token[j] = batch[i] 541 self.batch.pos[j] = i --> 542 self.batch.seq_id[j][0] = seq_id 543 self.batch.n_seq_id[j] = 1 544 self.batch.logits[j] = logits_all ValueError: NULL pointer access ``` The default `n_batch` of llama-cpp-python's Llama is `512` but we were explicitly setting it to `8`. These need to be set to equal for embedding models. * The embedding.cpp example has an assertion to make sure these are always equal. * Apparently this is not being done properly in llama-cpp-python. With `n_batch` set to 8, if more than 8 tokens are passed the batch runs out of space and it crashes. This also explains why the CPU compute buffer size was small: raw client with default `n_batch=512` ``` llama_new_context_with_model: CPU input buffer size = 3.51 MiB llama_new_context_with_model: CPU compute buffer size = 21.00 MiB ``` langchain with `n_batch=8` ``` llama_new_context_with_model: CPU input buffer size = 0.04 MiB llama_new_context_with_model: CPU compute buffer size = 0.33 MiB ``` We can work around this by passing `n_batch=512`, but this will not be obvious to some users: ``` embedding = LlamaCppEmbeddings(model_path=embd_model_path, n_batch=512) ``` From discussion w/ @cebtenzzre. Related: https://github.com/abetlen/llama-cpp-python/issues/1189 Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Zijian Han	8e976545f3	community[patch]: support OpenAI whisper base url (#17695 ) Description: The base URL for OpenAI is retrieved from the environment variable "OPENAI_BASE_URL", whereas for langchain it is obtained from "OPENAI_API_BASE". By adding `base_url = os.environ.get("OPENAI_API_BASE")`, the OpenAI proxy can execute correctly. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Paulo Nascimento	44a3484503	community[patch]: add NotebookLoader unit test (#17721 ) Thank you for contributing to LangChain! - Description: added unit tests for NotebookLoader. Linked PR: https://github.com/langchain-ai/langchain/pull/17614 - Issue: [#17614](https://github.com/langchain-ai/langchain/pull/17614) - Twitter handle: @paulodoestech - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [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. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: lachiewalker <lachiewalker1@hotmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Paulo Nascimento	4c3a67122f	community[patch]: add Integration for OpenAI image gen with v1 sdk (#17771 ) Description: Created a Langchain Tool for OpenAI DALLE Image Generation. Issue: [#15901](https://github.com/langchain-ai/langchain/issues/15901) Dependencies: n/a Twitter handle: @paulodoestech - [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. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Kaixin Yang	a8104ea8e9	openai[patch]: add checking codes for calling AI model get error (#17909 ) Description:: adding checking codes for calling AI model get error in chat_models/base.py and llms/base.py Issue: Sometimes the AI Model calling will get error, we should raise it. Otherwise, the next code 'choices.extend(response["choices"])' will throw a "TypeError: 'NoneType' object is not iterable" error to mask the true error. Because 'response["choices"]' is None. Dependencies: None --------- Co-authored-by: yangkx <yangkx@asiainfo-int.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Vincent Chen	833d61adb3	docs: update Together README.md (#18004 ) ## PR message Description: This PR adds a README file for the Together API in the `libs/partners` folder of this repository. The README includes: - A brief description of the package - Installation instructions and class introductions - Simple usage examples Issue: #17545 This PR only contains document changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Jiaming	3d3cc71287	community[patch]: fix bugs for bilibili Loader (#18036 ) - Description: 1. Fix the BiliBiliLoader that can receive cookie parameters, it requires 3 other parameters to run. The change is backward compatible. 2. Add test; 3. Add example in docs - Issue: [#14213] Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Ethan Knights	1ef3fa0411	docs: improve readability of Langchain Expression Language get_started.ipynb (#18157 ) Description: A few grammatical changes to improve readability of the LCEL .ipynb and tidy some null characters. Issue: N/A Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 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>	4 months ago
xiaohuanshu	ecb11a4a32	langchain[patch]: fix BaseChatMemory get output data error with extra key (#18117 ) Description: At times, BaseChatMemory._get_input_output may acquire some extra keys such as 'intermediate_steps' (agent_executor with return_intermediate_steps set to True) and 'messages' (agent_executor.iter with memory). In these instances, _get_input_output can raise an error due to the presence of multiple keys. The 'output' field should be used as the default field in these cases. Issue: #16791	4 months ago
Isaac Francisco	f5e84c8858	docs: fixing markdown for tips (#18199 ) Previous markdown code was not working as intended, new code should add green box around the tip so it is highlighted Co-authored-by: Hershenson, Isaac (Extern) <isaac.hershenson.extern@bayer04.de> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Hayden Wolff	85deee521a	docs: Nvidia Riva Runnables Documentation (#18237 ) - Description: Documents how to use the Riva runnables to add streamed automatic-speech-recognition (ASR) and text-to-speech (TTS) to chains. - Issue: None - Dependencies: None - Twitter handle: @HaydenWolff1 --------- Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local> Co-authored-by: Hayden Wolff <hwolff@MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Victor Adan	afa2d85405	community[patch]: Added missing from_documents method to KNNRetriever. (#18411 ) - Description: Added missing `from_documents` method to `KNNRetriever`, providing the ability to supply metadata to LangChain `Document`s, and to give it parity to the other retrievers, which do have `from_documents`. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Victor Adan <vadan@netroadshow.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Smit Parmar	dfc4177b50	community[patch]: mypy ignore fix (#18483 ) Relates to #17048 Description : Applied fix to dynamodb and elasticsearch file. Error was : `Cannot override writeable attribute with read-only property` Suggestion: instead of adding ``` @messages.setter def messages(self, messages: List[BaseMessage]) -> None: raise NotImplementedError("Use add_messages instead") ``` we can change base class property `messages: List[BaseMessage]` to ``` @property def messages(self) -> List[BaseMessage]:... ``` then we don't need to add `@messages.setter` in all child classes.	4 months ago
aditya thomas	dc9e9a66db	docs: update docstring of the ChatAnthropic and AnthropicLLM classes (#18649 ) Description: Update docstring of the ChatAnthropic and AnthropicLLM classes Issue: Not applicable Dependencies: None	4 months ago
Luca Dorigo	f19229c564	core[patch]: fix beta, deprecated typing (#18877 ) Description: While not technically incorrect, the TypeVar used for the `@beta` decorator prevented pyright (and thus most vscode users) from correctly seeing the types of functions/classes decorated with `@beta`. This is in part due to a small bug in pyright (https://github.com/microsoft/pyright/issues/7448 ) - however, the `Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not doing anything - classes are `Callables` by default, so by my understanding binding to `Type` does not actually provide any more safety - the modified annotation still works correctly for both functions, properties, and classes. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
aditya thomas	263ee78886	core[runnables]: docstring for class RunnableSerializable, method configurable_fields (#19722 ) Description: Update to the docstring for class RunnableSerializable, method configurable_fields Issue: [Add in code documentation to core Runnable methods #18804](https://github.com/langchain-ai/langchain/issues/18804) Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
HuangZiy	e1f10a697e	openai[patch]: perform judgment processing on chat model streaming delta (#18983 ) PR title: partners: openai chat model PR message: perform judgment processing on chat model streaming delta Closes #18977 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004 ) 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	4 months ago
Bob Lin	aba4bd0d13	docs: Add async batch case (#19686 )	4 months ago
aditya thomas	ec4dcfca7f	core[runnables]: docstring of class RunnableSerializable, method configurable_alternatives (#19724 ) Description: Update to the docstring for class RunnableSerializable, method configurable_alternatives Issue: [Add in code documentation to core Runnable methods #18804](https://github.com/langchain-ai/langchain/issues/18804) Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
Davide Menini	824dbc49ee	langchain[patch]: add template_tool_response arg to create_json_chat (#19696 ) In this small PR I added the `template_tool_response` arg to the `create_json_chat` function, so that users can customize this prompt in case of need. Thanks for your reviews! --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com>	4 months ago
高远	688ca48019	community[patch]: Adding validation when vector does not exist (#19698 ) Adding validation when vector does not exist Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>	4 months ago
Erick Friis	f55b11fb73	infra: Revert run partner CI on core PRs (#19733 ) Reverts parts of langchain-ai/langchain#19688	4 months ago
Alessandro Rossi	665f15bd48	docs: fix typos and make quickstart more readable (#19712 ) Description: minor docs changes to make it more readable. Issue: N/A Dependencies: N/A Twitter handle: _kubealex	4 months ago
standby24x7	36090c84f2	docs: Update function "run" to "invoke" in llm_symbolic_math.ipynb (#19713 ) This patch updates multiple function "run" to "invoke" in llm_symbolic_math.ipynb. Without this patch, you see following message. The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	4 months ago
Chaunte W. Lacewell	4a49fc5a95	community[patch]: Fix bug in vdms (#19728 ) Description: Fix embedding check in vdms Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe)	4 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>	4 months ago
Erick Friis	e576d6c6b4	cohere[patch]: release 0.1.0rc1 (rc1-2 never released) (#19731 )	4 months ago
harry-cohere	ea57050122	cohere: add with_structured_output to ChatCohere (#19730 ) Description: Adds support for `with_structured_output` to Cohere, which supports single function calling. --------- Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com>	4 months ago
Guangdong Liu	0571f886d1	core[patch]: Fix jsonOutputParser fails if a json value contains ``` inside it. (#19717 ) - Issue: fix #19646 - @baskaryan, @eyurtsev PTAL	4 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>	4 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>	4 months ago
BeatrixCohere	d1a2e194c3	cohere[patch]: misc fixs tool use agent and cohere chat (#19705 ) Bug fixes in this PR: * allows for other params such as "message" not just the input param to the prompt for the cohere tools agent * fixes to documents kwarg from messages * fixes to tool_calls API call --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>	4 months ago
ccurme	b35e68c41f	docs: update use_cases/question_answering/chat_history (#19349 ) Update following https://github.com/langchain-ai/langchain/issues/19344	4 months ago
Erick Friis	8c2ed85a45	core[patch], infra: release 0.1.36, run partner CI on core PRs (#19688 )	4 months ago
Erick Friis	5327bc9ec4	elasticsearch[patch]: move to repo (#19620 )	4 months ago

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