Commit Graph

164 Commits

Author SHA1 Message Date
Eugene Yurtsev
177af65dc4
core[minor]: RFC Add astream_events to Runnables (#16172)
This PR adds `astream_events` method to Runnables to make it easier to
stream data from arbitrary chains.

* Streaming only works properly in async right now
* One should use `astream()` with if mixing in imperative code as might
be done with tool implementations
* Astream_log has been modified with minimal additive changes, so no
breaking changes are expected
* Underlying callback code / tracing code should be refactored at some
point to handle things more consistently (OK for now)

- ~~[ ] verify event for on_retry~~ does not work until we implement
streaming for retry
- ~~[ ] Any rrenaming? Should we rename "event" to "hook"?~~
- [ ] Any other feedback from community?
- [x] throw NotImplementedError for `RunnableEach` for now

## Example

See this [Example
Notebook](dbbc7fa0d6/docs/docs/modules/agents/how_to/streaming_events.ipynb)
for an example with streaming in the context of an Agent

## Event Hooks Reference

Here is a reference table that shows some events that might be emitted
by the various Runnable objects.
Definitions for some of the Runnable are included after the table.


| event | name | chunk | input | output |

|----------------------|------------------|---------------------------------|-----------------------------------------------|-------------------------------------------------|
| on_chat_model_start | [model name] | | {"messages": [[SystemMessage,
HumanMessage]]} | |
| on_chat_model_stream | [model name] | AIMessageChunk(content="hello")
| | |
| on_chat_model_end | [model name] | | {"messages": [[SystemMessage,
HumanMessage]]} | {"generations": [...], "llm_output": None, ...} |
| on_llm_start | [model name] | | {'input': 'hello'} | |
| on_llm_stream | [model name] | 'Hello' | | |
| on_llm_end | [model name] | | 'Hello human!' |
| on_chain_start | format_docs | | | |
| on_chain_stream | format_docs | "hello world!, goodbye world!" | | |
| on_chain_end | format_docs | | [Document(...)] | "hello world!,
goodbye world!" |
| on_tool_start | some_tool | | {"x": 1, "y": "2"} | |
| on_tool_stream | some_tool | {"x": 1, "y": "2"} | | |
| on_tool_end | some_tool | | | {"x": 1, "y": "2"} |
| on_retriever_start | [retriever name] | | {"query": "hello"} | |
| on_retriever_chunk | [retriever name] | {documents: [...]} | | |
| on_retriever_end | [retriever name] | | {"query": "hello"} |
{documents: [...]} |
| on_prompt_start | [template_name] | | {"question": "hello"} | |
| on_prompt_end | [template_name] | | {"question": "hello"} |
ChatPromptValue(messages: [SystemMessage, ...]) |


Here are declarations associated with the events shown above:

`format_docs`:

```python
def format_docs(docs: List[Document]) -> str:
    '''Format the docs.'''
    return ", ".join([doc.page_content for doc in docs])

format_docs = RunnableLambda(format_docs)
```

`some_tool`:

```python
@tool
def some_tool(x: int, y: str) -> dict:
    '''Some_tool.'''
    return {"x": x, "y": y}
```

`prompt`:

```python
template = ChatPromptTemplate.from_messages(
    [("system", "You are Cat Agent 007"), ("human", "{question}")]
).with_config({"run_name": "my_template", "tags": ["my_template"]})
```
2024-01-18 21:27:01 -05:00
SN
f175bf7d7b
Use env for revision id if not passed in as param; use git describe as backup (#16227)
Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
2024-01-18 16:15:26 -08:00
Eugene Yurtsev
ecd4f0a7ec
core[patch]: testing add chat model for unit-tests (#16209)
This PR adds a fake chat model for testing purposes.

Used in this PR: https://github.com/langchain-ai/langchain/pull/16172
2024-01-18 11:30:53 -05:00
Nuno Campos
ca014d5b04
Update readme (#16160)
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2024-01-17 13:56:07 -08:00
Bagatur
7ad9eba8f4
core[patch]: Release 0.1.12 (#16161) 2024-01-17 12:39:45 -08:00
Bagatur
5c73fd5bba
core[patch]: support old core namespaces (#16155) 2024-01-17 11:26:25 -08:00
Kapil Sachdeva
f406dc3872
docs: in RunnableRetry, correct the example snippet that uses with_retry method on Runnable (#16108)
The example code snippet for with_retry is using incorrect argument
names. This PR fixes that
2024-01-17 09:11:27 -08:00
Leonid Kuligin
4df14a61fc
google-vertexai[minor]: add function calling on VertexAI (#15822)
Replace this entire comment with:
  - **Description:** Description: added support for tools on VertexAI
  - **Issue:** #15073 
  - **Twitter handle:**  lkuligin

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-01-16 17:01:26 -08:00
Bagatur
076593382a
core[patch]: Release 0.1.11 (#16100) 2024-01-16 09:46:04 -08:00
Bagatur
c5656a4905
core[patch]: pass exceptions to fallbacks (#16048) 2024-01-16 09:36:43 -08:00
Bagatur
bccb07f93e
core[patch]: simple prompt pretty printing (#15968) 2024-01-12 21:08:51 -05:00
Jonathan Algar
a74f3a4979
Batch update of alt text and title attributes for images in md/mdx files across repo (#15357)
**Description:** Batch update of alt text and title attributes for
images in `md` & `mdx` files across the repo using
[alttexter](https://github.com/jonathanalgar/alttexter)/[alttexter-ghclient](https://github.com/jonathanalgar/alttexter-ghclient)
(built using LangChain/LangSmith).

**Limitation:** cannot update `ipynb` files because of [this
issue](https://github.com/langchain-ai/langchain/pull/15357#issuecomment-1885037250).
Can revisit when Docusaurus is bumped to v3.

I checked all the generated alt texts and titles and didn't find any
technical inaccuracies. That's not to say they're _perfect_, but a lot
better than what's there currently.


[Deployed](https://langchain-819yf1tbk-langchain.vercel.app/docs/modules/model_io/)
image example:


![chrome_yZQ7BF2GTj](https://github.com/langchain-ai/langchain/assets/93204286/43a9a4d4-70fd-41c4-8978-b6240ff63ffa)

You can see LangSmith traces for all the calls out to the LLM in the PRs
merged into this one:

* https://github.com/jonathanalgar/langchain/pull/6
* https://github.com/jonathanalgar/langchain/pull/4
* https://github.com/jonathanalgar/langchain/pull/3

I didn't add the following files to the PR as the images already have OK
alt texts:

*
27dca2d92f/docs/docs/integrations/providers/argilla.mdx (L3)
*
27dca2d92f/docs/docs/integrations/providers/apify.mdx (L11)

---------

Co-authored-by: github-actions <github-actions@github.com>
2024-01-12 14:37:48 -08:00
Harrison Chase
1afac77439
stop making copies of inputs (#15926) 2024-01-12 11:49:26 -08:00
Nuno Campos
112208baa5
Passthrough configurable primitive values as tracer metadata (#15915)
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If you're adding a new integration, please include:
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2. an example notebook showing its use. It lives in
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@baskaryan, @eyurtsev, @hwchase17.
 -->
2024-01-11 18:47:55 -08:00
Erick Friis
437cebc955
core[patch]: release 0.1.10 (#15911) 2024-01-11 13:39:06 -08:00
Harrison Chase
80d41a8da3
add old serializable mapping (#15906) 2024-01-11 13:03:12 -08:00
Erick Friis
33dccf0f66
core[patch]: release 0.1.9 (#15794) 2024-01-09 19:27:19 -08:00
Erick Friis
656e87beb9
core[patch]: add alternative_import to deprecated (#15781) 2024-01-09 14:45:28 -08:00
Eugene Yurtsev
b508fcce65
core(minor): Add a way to print out system information for debugging purposes. (#15718)
To use: 

```bash
python -m langchain_core.sys_info
```
2024-01-08 12:20:18 -08:00
Bagatur
60f925d678
core[patch]: Release 0.1.8 (#15677) 2024-01-08 00:05:12 -05:00
Nuno Campos
7ce4cd0709
Do not issue beta or deprecation warnings on internal calls (#15641) 2024-01-07 20:54:45 -08:00
Nuno Campos
ef22559f1f
Populate streamed_output for all runs handled by atransform_stream_with_config (#15599)
This means that users of astream_log() now get streamed output of
virtually all requested runs, whereas before the only streamed output
would be for the root run and raw llm runs

<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
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Replace this entire comment with:
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  - **Issue:** the issue # it fixes if applicable,
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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.
 -->
2024-01-07 19:35:43 -08:00
Erick Friis
b1fa726377
docs: langchain-openai (#15513)
Updates docs and cookbooks to import ChatOpenAI, OpenAI, and OpenAI
Embeddings from `langchain_openai`

There are likely more

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-01-06 15:54:48 -08:00
Bagatur
46446a100d
core[patch]: deprecate v1 tracer (#15608) 2024-01-05 19:25:19 -05:00
Bagatur
96b47e18e0
core[patch]: Release 0.1.7 (#15610) 2024-01-05 18:24:11 -05:00
Erick Friis
ebc75c5ca7
openai[minor]: implement langchain-openai package (#15503)
Todo

- [x] copy over integration tests
- [x] update docs with new instructions in #15513 
- [x] add linear ticket to bump core -> community, community->langchain,
and core->openai deps
- [ ] (optional): add `pip install langchain-openai` command to each
notebook using it
- [x] Update docstrings to not need `openai` install
- [x] Add serialization
- [x] deprecate old models

Contributor steps:

- [x] Add secret names to manual integrations workflow in
.github/workflows/_integration_test.yml
- [x] Add secrets to release workflow (for pre-release testing) in
.github/workflows/_release.yml

Maintainer steps (Contributors should not do these):

- [x] set up pypi and test pypi projects
- [x] add credential secrets to Github Actions
- [ ] add package to conda-forge


Functional changes to existing classes:

- now relies on openai client v1 (1.6.1) via concrete dep in
langchain-openai package

Codebase organization

- some function calling stuff moved to
`langchain_core.utils.function_calling` in order to be used in both
community and langchain-openai
2024-01-05 15:03:28 -08:00
Bagatur
a7d023aaf0
core[patch], community[patch]: mark runnable context, lc load as beta (#15603) 2024-01-05 17:54:26 -05:00
Bagatur
e1fc4d5b95
core[patch]: add beta decorator (#15589) 2024-01-05 13:16:27 -05:00
Bagatur
00dfbd2a99
core[minor], langchain[minor]: deprecate old Chain and LLM methods (#15499) 2024-01-05 11:58:35 -05:00
Eugene Yurtsev
bf0b3cc0b5
core[patch]: Further restrict recursive URL loader (#15559)
Includes code from this PR:  https://github.com/langchain-ai/langchain/compare/HEAD...m0kr4n3:security/fix_ssrf 
with additional fixes 

Unit tests cover new test cases
2024-01-04 16:33:57 -05:00
Bagatur
817b84de9e
core[patch]: Release 0.1.6 (#15547) 2024-01-04 11:02:04 -05:00
Bagatur
b2f15738dd
core[patch], langchain[patch], community[patch]: Revert #15326 (#15546) 2024-01-04 10:39:37 -05:00
Bagatur
b317ad2472
core[patch]: Release 0.1.5 (#15480) 2024-01-03 10:26:27 -05:00
chyroc
b65e57971e
Patch: improve type hint (#15451) 2024-01-02 22:39:27 -08:00
Li-Lun Lin
cda68d717c
core[patch]: update LanguageModelInput from List to Sequence (#14405)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-01-02 18:49:01 -08:00
amaleki2
413a56b8f1
adding vectorstore_kwarg attribute to search_similarity function (#14604)
- **Description:** the ability to add all extra parameter of vectorstore
and using them SemanticSimilarityExampleSelector.
  - **Issue:** #14583
  - **Dependencies:** no dependensies
  - **Tag maintainer:** 
  - **Twitter handle:** @AmirMalekiz

---------

Co-authored-by: Amir Maleki <amaleki@fb.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-01-02 17:18:33 -08:00
Antonio Pisani
d4a98e4e04
core: update json output parser (#15079)
- **Description:** changed json.py to handle additional cases of partial
json string to be parsed, basically by dropping the last character in
the string until a valid json string is found or the string is empty.
Also added additional test cases.
  
- **Issue:** function parse_partial_json could not parse cases where the
key is present but the value is not.

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
2024-01-02 16:34:43 -08:00
Dariusz Kajtoch
15b6c049d4
core:adds tests for partial_variables (#15427)
**Description:** Added small tests to test partial_variables in
PromptTemplate. It was missing.
2024-01-02 15:00:06 -08:00
Bagatur
fa5d49f2c1
docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429)
ran 
```bash
g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g"
g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g"
g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g"
g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g"
g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g"
g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g"
gco master libs/langchain/tests/unit_tests/*/test_imports.py
gco master libs/langchain/tests/unit_tests/**/test_public_api.py
```
2024-01-02 16:47:11 -05:00
Harrison Chase
a33d92306c
add get prompts method (#15425) 2024-01-02 12:44:14 -08:00
Nuno Campos
6810b4b0bc
Use tz-aware utc datetimes in tracer (#15187)
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If you're adding a new integration, please include:
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2. an example notebook showing its use. It lives in
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If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->
2024-01-02 12:36:40 -08:00
Bagatur
480626dc99
docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)
…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```
2024-01-02 15:32:16 -05:00
Nuno Campos
9cbf14dec2
Fetch runnable config from context var inside runnable lambda and runnable generator (#15334)
- easier to write custom logic/loops with automatic tracing
- if you don't want to streaming support write a regular function and
pass to RunnableLambda
- if you do want streaming write a generator and pass it to
RunnableGenerator

```py
import json
from typing import AsyncIterator

from langchain_core.messages import BaseMessage, FunctionMessage, HumanMessage
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables import Runnable, RunnableGenerator, RunnablePassthrough
from langchain_core.tools import BaseTool

from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
from langchain.chat_models import ChatOpenAI
from langchain.tools.render import format_tool_to_openai_function


def _get_tavily():
    from langchain.tools.tavily_search import TavilySearchResults
    from langchain.utilities.tavily_search import TavilySearchAPIWrapper

    tavily_search = TavilySearchAPIWrapper()
    return TavilySearchResults(api_wrapper=tavily_search)


async def _agent_executor_generator(
    input: AsyncIterator[list[BaseMessage]],
    *,
    max_iterations: int = 10,
    tools: dict[str, BaseTool],
    agent: Runnable[list[BaseMessage], BaseMessage],
    parser: Runnable[BaseMessage, AgentAction | AgentFinish],
) -> AsyncIterator[BaseMessage]:
    messages = [m async for mm in input for m in mm]
    for _ in range(max_iterations):
        next_message = await agent.ainvoke(messages)
        yield next_message
        messages.append(next_message)

        parsed = await parser.ainvoke(next_message)
        if isinstance(parsed, AgentAction):
            result = await tools[parsed.tool].ainvoke(parsed.tool_input)
            next_message = FunctionMessage(name=parsed.tool, content=json.dumps(result))
            yield next_message
            messages.append(next_message)
        elif isinstance(parsed, AgentFinish):
            return


def get_agent_executor(tools: list[BaseTool], system_message: str):
    llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0, streaming=True)
    prompt = ChatPromptTemplate.from_messages(
        [
            ("system", system_message),
            MessagesPlaceholder(variable_name="messages"),
        ]
    )
    llm_with_tools = llm.bind(
        functions=[format_tool_to_openai_function(t) for t in tools]
    )

    agent = {"messages": RunnablePassthrough()} | prompt | llm_with_tools
    parser = OpenAIFunctionsAgentOutputParser()
    executor = RunnableGenerator(_agent_executor_generator)
    return executor.bind(
        tools={tool.name for tool in tools}, agent=agent, parser=parser
    )


agent = get_agent_executor([_get_tavily()], "You are a very nice agent!")


async def main():
    async for message in agent.astream(
        [HumanMessage(content="whats the weather in sf tomorrow?")]
    ):
        print(message)


if __name__ == "__main__":
    import asyncio

    asyncio.run(main())
```

results in this trace
https://smith.langchain.com/public/fa17f05d-9724-4d08-8fa1-750f8fcd051b/r
2024-01-02 12:16:39 -08:00
Bagatur
8e0d5813c2
langchain[patch], experimental[patch]: replace langchain.schema imports (#15410)
Import from core instead.

Ran:
```bash
git grep -l 'from langchain.schema\.output_parser' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.output_parser/from\ langchain_core.output_parsers/g"
git grep -l 'from langchain.schema\.messages' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.messages/from\ langchain_core.messages/g"
git grep -l 'from langchain.schema\.document' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.document/from\ langchain_core.documents/g"
git grep -l 'from langchain.schema\.runnable' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.runnable/from\ langchain_core.runnables/g"
git grep -l 'from langchain.schema\.vectorstore' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.vectorstore/from\ langchain_core.vectorstores/g"
git grep -l 'from langchain.schema\.language_model' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.language_model/from\ langchain_core.language_models/g"
git grep -l 'from langchain.schema\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.embeddings/from\ langchain_core.embeddings/g"
git grep -l 'from langchain.schema\.storage' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.storage/from\ langchain_core.stores/g"
git checkout master libs/langchain/tests/unit_tests/schema/
make format
cd libs/experimental
make format
cd ../langchain
make format
```
2024-01-02 15:09:45 -05:00
Ankush Gola
f50dba12ff
Calculate trace_id and dotted_order client side (#15351)
<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
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2024-01-02 10:13:34 -08:00
Paresh Chiramel
9be08a1956
Update _retrieve_ref inside json_schema.py to include an isdigit() check (#14745)
- **Description:** Update _retrieve_ref inside json_schema.py to include
an isdigit() check
- **Issue:** This library is used inside dereference_refs inside
langchain_community.agent_toolkits.openapi.spec. When I read in a yaml
file which has references for "400", "401" etc; the line "out =
out[component]" causes a KeyError. The isdigit() check ensures that if
it is an integer like "400" or "401"; it converts it into integer before
using it as a key to prevent the error.
  - **Dependencies:** No dependencies
  - **Tag maintainer:** @baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-01-01 16:25:42 -08:00
chyroc
0665a7da19
Docs: add param comment for tracing_v2_enabled (#15308)
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2024-01-01 13:38:44 -08:00
Nuno Campos
b9636e5c98
Catch type errors in dumps/dumpd (#15336)
These can happen for edge cases not covered by `default` handler (eg.
"strange" keys in dicts)

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2023-12-29 17:37:12 -08:00
Nuno Campos
99000c612e
Propagate context vars in all classes/methods (#15329)
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor
needs manual handling of context vars

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2023-12-29 15:59:00 -08:00
Ankush Gola
7eec8f2487
Delete V1 tracer and refactor tracer tests to core (#15326) 2023-12-29 15:55:56 -08:00