Commit Graph

2125 Commits (753f4cfc26c04debfa02bb086a441d86877884c1)
 

Author SHA1 Message Date
Davis Chase 753f4cfc26
bump 178 (#5130) 1 year ago
Ayan Bandyopadhyay 5c87dbf5a8
Add link to Psychic from document loaders documentation page (#5115)
# Add link to Psychic from document loaders documentation page

In my previous PR I forgot to update `document_loaders.rst` to link to
`psychic.ipynb` to make it discoverable from the main documentation.
1 year ago
Tian Wei d7f807b71f
Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012)
# Add AzureCognitiveServicesToolkit to call Azure Cognitive Services
API: achieve some multimodal capabilities

This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles
the following tools:
- AzureCogsImageAnalysisTool: calls Azure Cognitive Services image
analysis API to extract caption, objects, tags, and text from images.
- AzureCogsFormRecognizerTool: calls Azure Cognitive Services form
recognizer API to extract text, tables, and key-value pairs from
documents.
- AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to
text API to transcribe speech to text.
- AzureCogsText2SpeechTool: calls Azure Cognitive Services text to
speech API to synthesize text to speech.

This toolkit can be used to process image, document, and audio inputs.
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jamie Broomall d4fd589638
WhyLabs callback (#4906)
# Add a WhyLabs callback handler

* Adds a simple WhyLabsCallbackHandler
* Add required dependencies as optional
* protect against missing modules with imports
* Add docs/ecosystem basic example

based on initial prototype from @andrewelizondo

> this integration gathers privacy preserving telemetry on text with
whylogs and sends stastical profiles to WhyLabs platform to monitoring
these metrics over time. For more information on what WhyLabs is see:
https://whylabs.ai

After you run the notebook (if you have env variables set for the API
Keys, org_id and dataset_id) you get something like this in WhyLabs:
![Screenshot
(443)](https://github.com/hwchase17/langchain/assets/88007022/6bdb3e1c-4243-4ae8-b974-23a8bb12edac)

Co-authored-by: Andre Elizondo <andre@whylabs.ai>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Eugene Yurtsev d56313acba
Improve effeciency of TextSplitter.split_documents, iterate once (#5111)
# Improve TextSplitter.split_documents, collect page_content and
metadata in one iteration

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

@eyurtsev In the case where documents is a generator that can only be
iterated once making this change is a huge help. Otherwise a silent
issue happens where metadata is empty for all documents when documents
is a generator. So we expand the argument from `List[Document]` to
`Union[Iterable[Document], Sequence[Document]]`

---------

Co-authored-by: Steven Tartakovsky <tartakovsky.developer@gmail.com>
1 year ago
Jettro Coenradie b950022894
Fixes issue #5072 - adds additional support to Weaviate (#5085)
Implementation is similar to search_distance and where_filter

# adds 'additional' support to Weaviate queries

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Zander Chase 87bba2e8d3
Pass Dataset Name by Name not Position (#5108)
Pass dataset name by name
1 year ago
Matt Rickard de6a401a22
Add OpenLM LLM multi-provider (#4993)
OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call
different inference endpoints directly via HTTP. It implements the
OpenAI Completion class so that it can be used as a drop-in replacement
for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added
code.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Gergely Imreh 69de33e024
Add Mastodon toots loader (#5036)
# Add Mastodon toots loader.

Loader works either with public toots, or Mastodon app credentials. Toot
text and user info is loaded.

I've also added integration test for this new loader as it works with
public data, and a notebook with example output run now.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
mbchang e173e032bc
fix: assign current_time to datetime.now() if current_time is None (#5045)
# Assign `current_time` to `datetime.now()` if it `current_time is None`
in `time_weighted_retriever`

Fixes #4825 

As implemented, `add_documents` in `TimeWeightedVectorStoreRetriever`
assigns `doc.metadata["last_accessed_at"]` and
`doc.metadata["created_at"]` to `datetime.datetime.now()` if
`current_time` is not in `kwargs`.
```python
    def add_documents(self, documents: List[Document], **kwargs: Any) -> List[str]:
        """Add documents to vectorstore."""
        current_time = kwargs.get("current_time", datetime.datetime.now())
        # Avoid mutating input documents
        dup_docs = [deepcopy(d) for d in documents]
        for i, doc in enumerate(dup_docs):
            if "last_accessed_at" not in doc.metadata:
                doc.metadata["last_accessed_at"] = current_time
            if "created_at" not in doc.metadata:
                doc.metadata["created_at"] = current_time
            doc.metadata["buffer_idx"] = len(self.memory_stream) + i
        self.memory_stream.extend(dup_docs)
        return self.vectorstore.add_documents(dup_docs, **kwargs)
``` 
However, from the way `add_documents` is being called from
`GenerativeAgentMemory`, `current_time` is set as a `kwarg`, but it is
given a value of `None`:
```python
    def add_memory(
        self, memory_content: str, now: Optional[datetime] = None
    ) -> List[str]:
        """Add an observation or memory to the agent's memory."""
        importance_score = self._score_memory_importance(memory_content)
        self.aggregate_importance += importance_score
        document = Document(
            page_content=memory_content, metadata={"importance": importance_score}
        )
        result = self.memory_retriever.add_documents([document], current_time=now)
```
The default of `now` was set in #4658 to be None. The proposed fix is
the following:
```python
    def add_documents(self, documents: List[Document], **kwargs: Any) -> List[str]:
        """Add documents to vectorstore."""
        current_time = kwargs.get("current_time", datetime.datetime.now())
        # `current_time` may exist in kwargs, but may still have the value of None.
        if current_time is None:
            current_time = datetime.datetime.now()
```
Alternatively, we could just set the default of `now` to be
`datetime.datetime.now()` everywhere instead. Thoughts @hwchase17? If we
still want to keep the default to be `None`, then this PR should fix the
above issue. If we want to set the default to be
`datetime.datetime.now()` instead, I can update this PR with that
alternative fix. EDIT: seems like from #5018 it looks like we would
prefer to keep the default to be `None`, in which case this PR should
fix the error.
1 year ago
Leonid Ganeline c28cc0f1ac
changed ValueError to ImportError (#5103)
# changed ValueError to ImportError

Code cleaning.
Fixed inconsistencies in ImportError handling. Sometimes it raises
ImportError and sometime ValueError.
I've changed all cases to the `raise ImportError`
Also:
- added installation instruction in the error message, where it missed;
- fixed several installation instructions in the error message;
- fixed several error handling in regards to the ImportError
1 year ago
venetisgr 5e47c648ed
Update serpapi.py (#4947)
Added link option in  _process_response

<!--
In _process_respons "snippet" provided non working links for the case
that "links" had the correct answer. Thus added an elif statement before
snippet
-->

<!-- Remove if not applicable -->

Fixes # (issue)
In _process_response link provided correct answers while the snippet
reply provided non working links

@vowelparrot 
## Before submitting

<!-- If you're adding a new integration, include an integration test and
an example notebook showing its use! -->

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

<!-- For a quicker response, figure out the right person to tag with @

        @hwchase17 - project lead

        Tracing / Callbacks
        - @agola11

        Async
        - @agola11

        DataLoaders
        - @eyurtsev

        Models
        - @hwchase17
        - @agola11

        Agents / Tools / Toolkits
        - @vowelparrot
        
        VectorStores / Retrievers / Memory
        - @dev2049
        
 -->

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Ankit Arya 5b2b436fab
Fixed import error for AutoGPT e.g. from langchain.experimental.auton… (#5101)
`from langchain.experimental.autonomous_agents.autogpt.agent import
AutoGPT` results in an import error as AutoGPT is not defined in the
__init__.py file

https://python.langchain.com/en/latest/use_cases/autonomous_agents/marathon_times.html

An Alternate, way would be to be directly update the import statement to
be `from langchain.experimental import AutoGPT`

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Ankush Gola 467ca6f025
update langchainplus client and docker file to reflect port changes (#5005)
# Currently, only the dev images are updated
1 year ago
Shawn91 9e649462ce
fix: add_texts method of Weaviate vector store creats wrong embeddings (#4933)
# fix a bug in the add_texts method of Weaviate vector store that creats
wrong embeddings

The following is the original code in the `add_texts` method of the
Weaviate vector store, from line 131 to 153, which contains a bug. The
code here includes some extra explanations in the form of comments and
some omissions.

```python
            for i, doc in enumerate(texts):

                # some code omitted

                if self._embedding is not None:
                    # variable texts is a list of string and doc here is just a string. 
                    # list(doc) actually breaks up the string into characters.
                    # so, embeddings[0] is just the embedding of the first character
                    embeddings = self._embedding.embed_documents(list(doc))
                    batch.add_data_object(
                        data_object=data_properties,
                        class_name=self._index_name,
                        uuid=_id,
                        vector=embeddings[0],
                    )
```

To fix this bug, I pulled the embedding operation out of the for loop
and embed all texts at once.

Co-authored-by: Shawn91 <zyx199199@qq.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Eduard van Valkenburg 1cb04f2b26
PowerBI major refinement in working of tool and tweaks in the rest (#5090)
# PowerBI major refinement in working of tool and tweaks in the rest

I've gained some experience with more complex sets and the earlier
implementation had too many tries by the agent to create DAX, so
refactored the code to run the LLM to create dax based on a question and
then immediately run the same against the dataset, with retries and a
prompt that includes the error for the retry. This works much better!

Also did some other refactoring of the inner workings, making things
clearer, more concise and faster.
1 year ago
hwaking e57ebf3922
add get_top_k_cosine_similarity method to get max top k score and index (#5059)
# Row-wise cosine similarity between two equal-width matrices and return
the max top_k score and index, the score all greater than
threshold_score.

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Donger 039f8f1abb
Add the usage of SSL certificates for Elasticsearch and user password authentication (#5058)
Enhance the code to support SSL authentication for Elasticsearch when
using the VectorStore module, as previous versions did not provide this
capability.
@dev2049

---------

Co-authored-by: caidong <zhucaidong1992@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Andreas Liebschner 44dc959584
Improve pinecone hybrid search retriever adding metadata support (#5098)
# Improve pinecone hybrid search retriever adding metadata support

I simply remove the hardwiring of metadata to the existing
implementation allowing one to pass `metadatas` attribute to the
constructors and in `get_relevant_documents`. I also add one missing pip
install to the accompanying notebook (I am not adding dependencies, they
were pre-existing).

First contribution, just hoping to help, feel free to critique :) 
my twitter username is `@andreliebschner`

While looking at hybrid search I noticed #3043 and #1743. I think the
former can be closed as following the example right now (even prior to
my improvements) works just fine, the latter I think can be also closed
safely, maybe pointing out the relevant classes and example. Should I
reply those issues mentioning someone?

@dev2049, @hwchase17

---------

Co-authored-by: Andreas Liebschner <a.liebschner@shopfully.com>
1 year ago
Deepak S V 5cd12102be
Improving Resilience of MRKL Agent (#5014)
This is a highly optimized update to the pull request
https://github.com/hwchase17/langchain/pull/3269

Summary:
1) Added ability to MRKL agent to self solve the ValueError(f"Could not
parse LLM output: `{llm_output}`") error, whenever llm (especially
gpt-3.5-turbo) does not follow the format of MRKL Agent, while returning
"Action:" & "Action Input:".
2) The way I am solving this error is by responding back to the llm with
the messages "Invalid Format: Missing 'Action:' after 'Thought:'" &
"Invalid Format: Missing 'Action Input:' after 'Action:'" whenever
Action: and Action Input: are not present in the llm output
respectively.

For a detailed explanation, look at the previous pull request.

New Updates:
1) Since @hwchase17 , requested in the previous PR to communicate the
self correction (error) message, using the OutputParserException, I have
added new ability to the OutputParserException class to store the
observation & previous llm_output in order to communicate it to the next
Agent's prompt. This is done, without breaking/modifying any of the
functionality OutputParserException previously performs (i.e.
OutputParserException can be used in the same way as before, without
passing any observation & previous llm_output too).

---------

Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>
1 year ago
Michael Landis 6eacd88ae7
fix: revert docarray explicit transitive dependencies and use extras instead (#5015)
tldr: The docarray [integration
PR](https://github.com/hwchase17/langchain/pull/4483) introduced a
pinned dependency to protobuf. This is a docarray dependency, not a
langchain dependency. Since this is handled by the docarray
dependencies, it is unnecessary here.

Further, as a pinned dependency, this quickly leads to incompatibilities
with application code that consumes the library. Much less with a
heavily used library like protobuf.

Detail: as we see in the [docarray

integration](https://github.com/hwchase17/langchain/pull/4483/files#diff-50c86b7ed8ac2cf95bd48334961bf0530cdc77b5a56f852c5c61b89d735fd711R81-R83),
the transitive dependencies of docarray were also listed as langchain
dependencies. This is unnecessary as the docarray project has an
appropriate
[extras](a01a05542d/pyproject.toml (L70)).
The docarray project also does not require this _pinned_ version of
protobuf, rather [a minimum
version](a01a05542d/pyproject.toml (L41)).
So this pinned version was likely in error.

To fix this, this PR reverts the explicit hnswlib and protobuf
dependencies and adds the hnswlib extras install for docarray (which
installs hnswlib and protobuf, as originally intended). Because version
`0.32.0`
of the docarray hnswlib extras added protobuf, we bump the docarray
dependency from `^0.31.0` to `^0.32.0`.

# revert docarray explicit transitive dependencies and use extras
instead

## Who can review?

@dev2049 -- reviewed the original PR
@eyurtsev -- bumped the pinned protobuf dependency a few days ago

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase fcd88bccb3
Bump 177 (#5095) 1 year ago
Harrison Chase 10ba201d05
Harrison/neo4j (#5078)
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Deepak S V 49ca02711e
Improved query, print & exception handling in REPL Tool (#4997)
Update to pull request https://github.com/hwchase17/langchain/pull/3215

Summary:
1) Improved the sanitization of query (using regex), by removing python
command (since gpt-3.5-turbo sometimes assumes python console as a
terminal, and runs python command first which causes error). Also
sometimes 1 line python codes contain single backticks.
2) Added 7 new test cases.

For more details, view the previous pull request.

---------

Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>
1 year ago
Zander Chase 785502edb3
Add 'get_token_ids' method (#4784)
Let user inspect the token ids in addition to getting th enumber of tokens

---------

Co-authored-by: Zach Schillaci <40636930+zachschillaci27@users.noreply.github.com>
1 year ago
Zander Chase ef7d015be5
Separate Runner Functions from Client (#5079)
Extract the methods specific to running an LLM or Chain on a dataset to
separate utility functions.

This simplifies the client a bit and lets us separate concerns of LCP
details from running examples (e.g., for evals)
1 year ago
Leonid Ganeline 443ebe22f4
docs: `Deployments` page moved into `Ecosystem/` (#4949)
# docs: `deployments` page moved into `ecosystem/`

The `Deployments` page moved into the `Ecosystem/` group

Small fixes:
- `index` page: fixed order of items in the `Modules` list, in the `Use
Cases` list
- item `References/Installation` was lost in the `index` page (not on
the Navbar!). Restored it.
- added `|` marker in several places.

NOTE: I also thought about moving the `Additional Resources/Gallery`
page into the `Ecosystem` group but decided to leave it unchanged.
Please, advise on this.

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
@dev2049
1 year ago
Hans van Dam a395ff7c90
preserve language in conversation retrieval (#4969)
Without the addition of 'in its original language', the condensing
response, more often than not, outputs the rephrased question in
English, even when the conversation is in another language. This
question in English then transfers to the question in the retrieval
prompt and the chatbot is stuck in English.

I'm sometimes surprised that this does not happen more often, but
apparently the GPT models are smart enough to understand that when the
template contains

Question: ....
Answer:

then the answer should be in in the language of the question.
1 year ago
Matt Robinson bf3f554357
feat: batch multiple files in a single Unstructured API request (#4525)
### Submit Multiple Files to the Unstructured API

Enables batching multiple files into a single Unstructured API requests.
Support for requests with multiple files was added to both
`UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that
if you submit multiple files in "single" mode, the result will be
concatenated into a single document. We recommend using this feature in
"elements" mode.

### Testing

The following should load both documents, using two of the example docs
from the integration tests folder.

```python
    from langchain.document_loaders import UnstructuredAPIFileLoader

    file_paths = ["examples/layout-parser-paper.pdf",  "examples/whatsapp_chat.txt"]

    loader = UnstructuredAPIFileLoader(
        file_paths=file_paths,
        api_key="FAKE_API_KEY",
        strategy="fast",
        mode="elements",
    )
    docs = loader.load()
```
1 year ago
Harrison Chase 0c3de0a0b3 Merge branch 'master' of github.com:hwchase17/langchain 1 year ago
Harrison Chase 224f73e978 move docs 1 year ago
Harrison Chase 6c25f860fd
bump to 176 (#5064) 1 year ago
Harrison Chase b0431c672b
Harrison/psychic (#5063)
Co-authored-by: Ayan Bandyopadhyay <ayanb9440@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Harrison Chase 8c661baefb
change to type checking (#5062) 1 year ago
Jeffrey Zheng 424a573266
DOC: Misspelling in agents.rst documentation (#5038)
# Corrected Misspelling in agents.rst Documentation

<!--
Thank you for contributing to LangChain! Your PR will appear in our next
release under the title you set. Please make sure it highlights your
valuable contribution.

Replace this with a description of the change, the issue it fixes (if
applicable), and relevant context. List any dependencies required for
this change.

After you're done, someone will review your PR. They may suggest
improvements. If no one reviews your PR within a few days, feel free to
@-mention the same people again, as notifications can get
-->

In the
[documentation](https://python.langchain.com/en/latest/modules/agents.html)
it says "in fact, it is often best to have an Action Agent be in
**change** of the execution for the Plan and Execute agent."

**Suggested Change:** I propose correcting change to charge.

Fix for issue: #5039
1 year ago
Gengliang Wang f9f08c4b69
Add documentation for Databricks integration (#5013)
# Add documentation for Databricks integration

This is a follow-up of https://github.com/hwchase17/langchain/pull/4702
It documents the details of how to integrate Databricks using langchain.
It also provides examples in a notebook.


## Who can review?
@dev2049 @hwchase17 since you are aware of the context. We will promote
the integration after this doc is ready. Thanks in advance!
1 year ago
tornikeo a6ef20d7fe
Fix annoying typo in docs (#5029)
# Fixes an annoying typo in docs

<!--
Thank you for contributing to LangChain! Your PR will appear in our next
release under the title you set. Please make sure it highlights your
valuable contribution.

Replace this with a description of the change, the issue it fixes (if
applicable), and relevant context. List any dependencies required for
this change.

After you're done, someone will review your PR. They may suggest
improvements. If no one reviews your PR within a few days, feel free to
@-mention the same people again, as notifications can get lost.
-->

<!-- Remove if not applicable -->

Fixes Annoying typo in docs - "Therefor" -> "Therefore". It's so
annoying to read that I just had to make this PR.
1 year ago
Davis Chase 9d1280d451
bump v175 (#5041) 1 year ago
UmerHA 7388248b3e
Streaming only final output of agent (#2483) (#4630)
# Streaming only final output of agent (#2483)
As requested in issue #2483, this Callback allows to stream only the
final output of an agent (ie not the intermediate steps).

Fixes #2483

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 3bc0bf0079
fix prompt saving (#4987)
will add unit tests
1 year ago
Zander Chase 27e63b977a
Add logs command (#5007)
to the plus server
1 year ago
Marcus Winter 2aa3754024
Check for single prompt in __call__ method of the BaseLLM class (#4892)
# Ensuring that users pass a single prompt when calling a LLM 

- This PR adds a check to the `__call__` method of the `BaseLLM` class
to ensure that it is called with a single prompt
- Raises a `ValueError` if users try to call a LLM with a list of prompt
and instructs them to use the `generate` method instead

## Why this could be useful

I stumbled across this by accident. I accidentally called the OpenAI LLM
with a list of prompts instead of a single string and still got a
result:

```
>>> from langchain.llms import OpenAI
>>> llm = OpenAI()
>>> llm(["Tell a joke"]*2)
"\n\nQ: Why don't scientists trust atoms?\nA: Because they make up everything!"
```

It might be better to catch such a scenario preventing unnecessary costs
and irritation for the user.

## Proposed behaviour

```
>>> from langchain.llms import OpenAI
>>> llm = OpenAI()
>>> llm(["Tell a joke"]*2)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/marcus/Projects/langchain/langchain/llms/base.py", line 291, in __call__
    raise ValueError(
ValueError: Argument `prompt` is expected to be a single string, not a list. If you want to run the LLM on multiple prompts, use `generate` instead.
```
1 year ago
domchan 6c60251f52
Add self query translator for weaviate vectorstore (#4804)
# Add self query translator for weaviate vectorstore

Adds support for the EQ comparator and the AND/OR operators. 

Co-authored-by: Dominic Chan <dchan@cppib.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 9928fb2193
Revert "API update: Engines -> Models (#4915)" (#5008)
This reverts commit 8c28ad6dac.

Seems to be causing #5001
1 year ago
SimFG f07b9fde74
Update the GPTCache example (#4985)
# Update the GPTCache example

Fixes #4757
1 year ago
Leonid Ganeline ddc2d4c21e
added instruction about pip install google-gerativeai (#5004)
# added instruction about pip install google-gerativeai

added instruction about pip install google-gerativeai
1 year ago
Nicolas 02632d52b3
docs: Big Mendable Improvements (#4964)
- Higher accuracy on the responses
- New redesigned UI
- Pretty Sources: display the sources by title / sub-section instead of
long URL.
- Fixed Reset Button bugs and some other UI issues
- Other tweaks
1 year ago
Leonid Ganeline 2ab0e1d526
changed ValueError to ImportError (#5006)
# changed ValueError to ImportError in except

Several places with this bug. ValueError does not catch ImportError.
1 year ago
Davis Chase 080eb1b3fc
Fix graphql tool (#4984)
Fix construction and add unit test.
1 year ago
Mike McGarry ddd595fe81
feature/4493 Improve Evernote Document Loader (#4577)
# Improve Evernote Document Loader

When exporting from Evernote you may export more than one note.
Currently the Evernote loader concatenates the content of all notes in
the export into a single document and only attaches the name of the
export file as metadata on the document.

This change ensures that each note is loaded as an independent document
and all available metadata on the note e.g. author, title, created,
updated are added as metadata on each document.

It also uses an existing optional dependency of `html2text` instead of
`pypandoc` to remove the need to download the pandoc application via
`download_pandoc()` to be able to use the `pypandoc` python bindings.

Fixes #4493 

Co-authored-by: Mike McGarry <mike.mcgarry@finbourne.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago