Commit Graph

71 Commits (84bf5787a7036a33745e44de44aa89a074dcec55)

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"]})
```
7 months ago
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
7 months ago
Bagatur c5656a4905
core[patch]: pass exceptions to fallbacks (#16048) 7 months ago
Nuno Campos 112208baa5
Passthrough configurable primitive values as tracer metadata (#15915)
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8 months ago
Erick Friis 656e87beb9
core[patch]: add alternative_import to deprecated (#15781) 8 months ago
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
```
8 months ago
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

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8 months ago
Bagatur a7d023aaf0
core[patch], community[patch]: mark runnable context, lc load as beta (#15603) 8 months ago
Bagatur e1fc4d5b95
core[patch]: add beta decorator (#15589) 8 months ago
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
8 months ago
Bagatur b2f15738dd
core[patch], langchain[patch], community[patch]: Revert #15326 (#15546) 8 months ago
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>
8 months ago
Dariusz Kajtoch 15b6c049d4
core:adds tests for partial_variables (#15427)
**Description:** Added small tests to test partial_variables in
PromptTemplate. It was missing.
8 months ago
Nuno Campos 6810b4b0bc
Use tz-aware utc datetimes in tracer (#15187)
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8 months ago
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
8 months ago
Ankush Gola f50dba12ff
Calculate trace_id and dotted_order client side (#15351)
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8 months ago
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>
8 months ago
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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8 months ago
Ankush Gola 7eec8f2487
Delete V1 tracer and refactor tracer tests to core (#15326) 8 months ago
Nuno Campos eb5e250188 Propagate context vars in all classes/methods
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
8 months ago
Harrison Chase c3b3b77a11
[core] add test for json parser (#15297)
this should fail, but isnt

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
8 months ago
Nuno Campos ec090745a6
Improve markdown list parser (#15295)
- do not match text after - in the middle of a sentence

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8 months ago
Nuno Campos 36ceffd2cd
Strip code block fences and extra test from xml when doing streaming … (#15293)
…parse

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8 months ago
Harrison Chase b86803153e
[core, langchain] modelio code improvements (#15277) 8 months ago
Nuno Campos 6a5a2fb9c8
Add .pick and .assign methods to Runnable (#15229)
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8 months ago
Nuno Campos 0252a24471
Implement nicer runnable seq constructor, Propagate name through Runn… (#15226)
…ableBinding

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8 months ago
Harrison Chase 4ad77f777e
[core] prompt changes (#15186)
change it to pass all variables through all the way in invoke
8 months ago
Nuno Campos ccf9c8e0be
Better input and output schemas for chains that start or end with a R… (#15185)
…unnableAssign or RunnablePick

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8 months ago
Nuno Campos 8cdc633465
Implement RunnablePassthrough.pick() (#15184)
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8 months ago
Quy Tang 7ef25a3c1b
Implement stream and astream for RunnableLambda (#14794)
**Description:** Implement stream and astream methods for RunnableLambda
to make streaming work for functions returning Runnable
  - **Issue:** https://github.com/langchain-ai/langchain/issues/11998
  - **Dependencies:** No new dependencies
  - **Twitter handle:** https://twitter.com/qtangs

---------

Co-authored-by: Nuno Campos <nuno@langchain.dev>
8 months ago
Harrison Chase b4a0d206d9
[core: minor] fix getters (#15181) 8 months ago
Harrison Chase 63916cfe35
[core] langauge model like (#15180) 8 months ago
Nuno Campos a2d3042823
Improve graph repr for runnable passthrough and itemgetter (#15083)
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8 months ago
Nuno Campos 0d0901ea18
Nc/dec22/runnable graph lambda (#15078)
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@baskaryan, @eyurtsev, @hwchase17.
 -->
8 months ago
Nuno Campos 7d5800ee51
Add Runnable.get_graph() to get a graph representation of a Runnable (#15040)
It can be drawn in ascii with Runnable.get_graph().draw()
8 months ago
Ran 129a929d69
infra: Fix test filesystem paths incompatible with windows (#14388)
- **Description:** This PR fixes test failures on Windows caused by path
handling differences and unescaped special characters in regex. The
failing tests are:
```
FAILED tests/unit_tests/storage/test_filesystem.py::test_yield_keys - AssertionError: assert ['key1', 'subdir\\key2'] == ['key1', 'subdir/key2']
FAILED tests/unit_tests/test_imports.py::test_importable_all - ModuleNotFoundError: No module named 'langchain_community.langchain_community\\adapters'
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_absolute - re.error: incomplete escape \U at position 53
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_parent_dir - re.error: incomplete escape \U at position 69
FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_for_symlink_outside_root - re.error: incomplete escape \U at position 64
```

- **Issue:** fixes
https://github.com/langchain-ai/langchain/issues/11775 (partially)
- **Dependencies:** none
8 months ago
Nuno Campos 71076cceaf
Move json and xml parsers to core (#15026)
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8 months ago
Nuno Campos d5533b7081
Add option to make messages placeholder optional (#15031)
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8 months ago
Nuno Campos 63e512b680
Implement streaming for all list output parsers (#14981)
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8 months ago
Quy Tang 42822484ef
core(minor): Implement stream and astream for RunnableBranch (#14805)
* This PR adds `stream` implementations to Runnable Branch.
* Runnable Branch still does not support `transform` so it'll break streaming if it happens in middle or end of sequence, but will work if happens at beginning of sequence.
* Fixes use the async callback manager for async methods
* Handle BaseException rather than Exception, so more errors could be logged as errors when they are encountered


---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
8 months ago
Harrison Chase 193f107cb5
add methods to deserialize prompts that were old (#14857) 8 months ago
William FH 93c7eb4e6b
[Tracing] String Stacktrace (#14131)
Add full stacktrace
8 months ago
Bagatur 47451951a1
core[patch]: Fix runnable with message history (#14629)
Fix bug shown in #14458. Namely, that saving inputs to history fails
when the input to base runnable is a list of messages
9 months ago
Nuno Campos a16f4a318f
\Fix tool_calls message merge (#14613)
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9 months ago
Eugene Yurtsev 76905aa043
Update RunnableWithMessageHistory (#14351)
This PR updates RunnableWithMessage history to support user specific
configuration for the factory.

It extends support to passing multiple named arguments into the factory
if the factory takes more than a single argument.
9 months ago
Nuno Campos 3b5b0f16c6
Move runnable context to beta (#14507)
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9 months ago
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
9 months ago
Eugene Yurtsev c0f4b95aa9
RunnableWithMessageHistory: Fix input schema (#14516)
Input schema should not have history key
9 months ago
Harrison Chase f5befe3b89
manual mapping (#14422) 9 months ago
Eugene Yurtsev 37bee92b8a
Use deepcopy in RunLogPatch (#14244)
This PR adds deepcopy usage in RunLogPatch.

I included a unit-test that shows an issue that was caused in LangServe
in the RemoteClient.

```python
import jsonpatch

s1 = {}
s2 = {'value': []}
s3 = {'value': ['a']}

ops0 = list(jsonpatch.JsonPatch.from_diff(None, s1))
ops1 = list(jsonpatch.JsonPatch.from_diff(s1, s2))
ops2 = list(jsonpatch.JsonPatch.from_diff(s2, s3))
ops = ops0 + ops1 + ops2

jsonpatch.apply_patch(None, ops)
{'value': ['a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a', 'a']}
```
9 months ago