langchain

Commit Graph

Author	SHA1	Message	Date
Brace Sproul	ce0a588ae6	docs[minor]: Add chat model tabs to docs pages (#19589 )	3 months ago
BeatrixCohere	bd02b83acd	cohere[patch]: Allow overriding of the base URL in Cohere Client (#19766 ) This PR adds the ability for a user to override the base API url for the Cohere client for embeddings and chat llm.	3 months ago
Nisarg Trivedi	1252ccce6f	text-splitters[minor]: Added Haskell support in langchain.text_splitter module (#16191 ) - Description: Haskell language support added in text_splitter module - Dependencies: No - Twitter handle: @nisargtr If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Hrvoje Milković	b7344e3347	community[minor]: Infobip tool integration (#16805 ) Description: Adding Tool that wraps Infobip API for sending sms or emails and email validation. Dependencies: None, Twitter handle: @hmilkovic Implementation: ``` libs/community/langchain_community/utilities/infobip.py ``` Integration tests: ``` libs/community/tests/integration_tests/utilities/test_infobip.py ``` Example notebook: ``` docs/docs/integrations/tools/infobip.ipynb ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Luka Krapic	727a2ea9f1	community[patch]: history size support for DynamoDBChatMessageHistory (#16794 ) Description: PR adds support for limiting number of messages preserved in a session history for DynamoDBChatMessageHistory --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Dt22	6dbf1a2de0	community[patch]: fix redis input type for index_schema field (#16874 ) ### Subject: Fix Type Misdeclaration for index_schema in redis/base.py I noticed a type misdeclaration for the index_schema column in the redis/base.py file. When following the instructions outlined in [Redis Custom Metadata Indexing](https://python.langchain.com/docs/integrations/vectorstores/redis) to create our own index_schema, it leads to a Pylance type error. <br/> The error message indicates that Dict[str, list[Dict[str, str]]] is incompatible with the type Optional[Union[Dict[str, str], str, os.PathLike]]. ``` index_schema = { "tag": [{"name": "credit_score"}], "text": [{"name": "user"}, {"name": "job"}], "numeric": [{"name": "age"}], } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users_modified", index_schema=index_schema, ) ``` Therefore, I have created this pull request to rectify the type declaration problem. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
morgana	074ad5095f	community[patch]: mmr search for Rockset vectorstore integration (#16908 ) - Description: Adding support for mmr search in the Rockset vectorstore integration. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
shahrin014	f51e6a35ba	community[patch]: OllamaEmbeddings - Pass headers to post request (#16880 ) ## Feature - Set additional headers in constructor - Headers will be sent in post request This feature is useful if deploying Ollama on a cloud service such as hugging face, which requires authentication tokens to be passed in the request header. ## Tests - Test if header is passed - Test if header is not passed Similar to https://github.com/langchain-ai/langchain/pull/15881 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Lance Martin	e0f137dbe0	docs: Agentic and Self-RAG w/ LangGraph (#16910 ) To do: [ ] Add streaming [ ] Move to LangGraph	3 months ago
Jan Chorowski	b8b42ccbc5	community[minor]: Pathway vectorstore(#14859 ) - Description: Integration with pathway.com data processing pipeline acting as an always updated vectorstore - Issue: not applicable - Dependencies: optional dependency on [`pathway`](https://pypi.org/project/pathway/) - Twitter handle: pathway_com The PR provides and integration with `pathway` to provide an easy to use always updated vector store: ```python import pathway as pw from langchain.embeddings.openai import OpenAIEmbeddings from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import PathwayVectorClient, PathwayVectorServer data_sources = [] data_sources.append( pw.io.gdrive.read(object_id="17H4YpBOAKQzEJ93xmC2z170l0bP2npMy", service_user_credentials_file="credentials.json", with_metadata=True)) text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) embeddings_model = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"]) vector_server = PathwayVectorServer( *data_sources, embedder=embeddings_model, splitter=text_splitter, ) vector_server.run_server(host="127.0.0.1", port="8765", threaded=True, with_cache=False) client = PathwayVectorClient( host="127.0.0.1", port="8765", ) query = "What is Pathway?" docs = client.similarity_search(query) ``` The `PathwayVectorServer` builds a data processing pipeline which continusly scans documents in a given source connector (google drive, s3, ...) and builds a vector store. The `PathwayVectorClient` implements LangChain's `VectorStore` interface and connects to the server to retrieve documents. --------- Co-authored-by: Mateusz Lewandowski <lewymati@users.noreply.github.com> Co-authored-by: mlewandowski <mlewandowski@MacBook-Pro-mlewandowski.local> Co-authored-by: Berke <berkecanrizai1@gmail.com> Co-authored-by: Adrian Kosowski <adrian@pathway.com> Co-authored-by: mlewandowski <mlewandowski@macbook-pro-mlewandowski.home> Co-authored-by: berkecanrizai <63911408+berkecanrizai@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: mlewandowski <mlewandowski@MBPmlewandowski.ht.home> Co-authored-by: Szymon Dudycz <szymond@pathway.com> Co-authored-by: Szymon Dudycz <szymon.dudycz@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	0dbd5f5012	add script to check imports (#19611 )	3 months ago
Arturs Konfino	2319212d54	community[patch]: avoid executing `toolkit.get_context()` when not necessary (#19762 ) If `prompt` is passed into `create_sql_agent()`, then `toolkit.get_context()` shouldn't be executed against the database unless relevant prompt variables (`table_info` or `table_names`) are present .	3 months ago
高璟琦	ec7a59c96c	community[minor]: Add solar embedding (#19761 ) Solar is a large language model developed by [Upstage](https://upstage.ai/). It's a powerful and purpose-trained LLM. You can visit the embedding service provided by Solar within this pr. You may get SOLAR_API_KEY from https://console.upstage.ai/services/embedding You can refer to more details about accepted llm integration at https://python.langchain.com/docs/integrations/llms/solar.	3 months ago
Tomaz Bratanic	dec00d3050	community[patch]: Add the ability to pass maps to neo4j retrieval query (#19758 ) Makes it easier to flatten complex values to text, so you don't have to use a lot of Cypher to do it.	3 months ago
Robby	f7e8a382cc	community[minor]: add hugging face text-to-speech inference API (#18880 ) Description: I implemented a tool to use Hugging Face text-to-speech inference API. Issue: n/a Dependencies: n/a Twitter handle: No Twitter, but do have [LinkedIn](https://www.linkedin.com/in/robby-horvath/) lol. --------- Co-authored-by: Robby <h0rv@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
DasDingoCodes	73eb3f8fd9	community[minor]: Implement DirectoryLoader lazy_load function (#19537 ) Thank you for contributing to LangChain! - [x] PR title: "community: Implement DirectoryLoader lazy_load function" - [x] Description: The `lazy_load` function of the `DirectoryLoader` yields each document separately. If the given `loader_cls` of the `DirectoryLoader` also implemented `lazy_load`, it will be used to yield subdocuments of the file. - [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: `libs/community/tests/unit_tests/document_loaders/test_directory_loader.py` 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory: `docs/docs/integrations/document_loaders/directory.ipynb` - [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: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Christophe Bornet	6b2b511f68	core[minor]: Add aformat_messages to FewShotChatMessagePromptTemplate and ChatPromptTemplate (#19648 ) Needed since the example selector may use a vector store.	3 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	3 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.	3 months ago
Ekaterina Aidova	4ce36af335	docs: fix link in openvino integration doc (#19749 ) - Description: fix incorrect link in docs - Dependencies: None	3 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100 )	3 months ago
Gustavo Isturiz	824dccf5e2	docs: fixed xml URL on sitemap docs exmaple, issue #17236 (#17304 )	3 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>	3 months ago
Guangdong Liu	cd55d587c2	langchain[patch]: Upgrade openai's sdk and solve some interface adaptation problems. (#19548 ) - Issue: close #19534	3 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>	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
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>	3 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>	3 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>	3 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>	3 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>	3 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>	3 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>	3 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>	3 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>	3 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>	3 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>	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
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	3 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>	3 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>	3 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>	3 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.	3 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	3 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>	3 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>	3 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>	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
Bob Lin	aba4bd0d13	docs: Add async batch case (#19686 )	3 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>	3 months ago

... 4 5 6 7 8 ...

8721 Commits (38faa74c238e3fc20ff98c5c219a765eb3c0a0ee) All Branches Search

8721 Commits (38faa74c238e3fc20ff98c5c219a765eb3c0a0ee)

All Branches