Commit Graph

10 Commits (7b5e160d28c9b460fcf4bfae09b47eae9f362a02)

Author SHA1 Message Date
Ankush Gola 7b5e160d28
Make Tools own model, add ToolKit Concept (#1095)
Follow-up of @hinthornw's PR:

- Migrate the Tool abstraction to a separate file (`BaseTool`).
- `Tool` implementation of `BaseTool` takes in function and coroutine to
more easily maintain backwards compatibility
- Add a Toolkit abstraction that can own the generation of tools around
a shared concept or state

---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Francisco Ingham <fpingham@gmail.com>
Co-authored-by: Dhruv Anand <105786647+dhruv-anand-aintech@users.noreply.github.com>
Co-authored-by: cragwolfe <cragcw@gmail.com>
Co-authored-by: Anton Troynikov <atroyn@users.noreply.github.com>
Co-authored-by: Oliver Klingefjord <oliver@klingefjord.com>
Co-authored-by: William Fu-Hinthorn <whinthorn@Williams-MBP-3.attlocal.net>
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
1 year ago
blob42 3ecdea8be4
SearxNG meta search api helper (#854)
This is a work in progress PR to track my progres.

## TODO:

- [x]  Get results using the specifed searx host
- [x]  Prioritize returning an  `answer`  or results otherwise
    - [ ] expose the field `infobox` when available
    - [ ] expose `score` of result to help agent's decision
- [ ] expose the `suggestions` field to agents so they could try new
queries if no results are found with the orignial query ?

- [ ] Dynamic tool description for agents ?
- Searx offers many engines and a search syntax that agents can take
advantage of. It would be nice to generate a dynamic Tool description so
that it can be used many times as a tool but for different purposes.

- [x]  Limit number of results
- [ ]   Implement paging
- [x]  Miror the usage of the Google Search tool
- [x] easy selection of search engines
- [x]  Documentation
    - [ ] update HowTo guide notebook on Search Tools
- [ ] Handle async 
- [ ]  Tests

###  Add examples / documentation on possible uses with
 - [ ]  getting factual answers with `!wiki` option and `infoboxes`
 - [ ]  getting `suggestions`
 - [ ]  getting `corrections`

---------

Co-authored-by: blob42 <spike@w530>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
rogerserper e46cd3b7db
Google Search API integration with serper.dev (wrapper, tests, docs, … (#909)
Adds Google Search integration with [Serper](https://serper.dev) a
low-cost alternative to SerpAPI (10x cheaper + generous free tier).
Includes documentation, tests and examples. Hopefully I am not missing
anything.

Developers can sign up for a free account at
[serper.dev](https://serper.dev) and obtain an api key.

## Usage

```python
from langchain.utilities import GoogleSerperAPIWrapper
from langchain.llms.openai import OpenAI
from langchain.agents import initialize_agent, Tool

import os
os.environ["SERPER_API_KEY"] = ""
os.environ['OPENAI_API_KEY'] = ""

llm = OpenAI(temperature=0)
search = GoogleSerperAPIWrapper()
tools = [
    Tool(
        name="Intermediate Answer",
        func=search.run
    )
]

self_ask_with_search = initialize_agent(tools, llm, agent="self-ask-with-search", verbose=True)
self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open champion?")
```

### Output
```
Entering new AgentExecutor chain...
 Yes.
Follow up: Who is the reigning men's U.S. Open champion?
Intermediate answer: Current champions Carlos Alcaraz, 2022 men's singles champion.
Follow up: Where is Carlos Alcaraz from?
Intermediate answer: El Palmar, Spain
So the final answer is: El Palmar, Spain

> Finished chain.

'El Palmar, Spain'
```
1 year ago
Ankush Gola bc7e56e8df
Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841)
Supporting asyncio in langchain primitives allows for users to run them
concurrently and creates more seamless integration with
asyncio-supported frameworks (FastAPI, etc.)

Summary of changes:

**LLM**
* Add `agenerate` and `_agenerate`
* Implement in OpenAI by leveraging `client.Completions.acreate`

**Chain**
* Add `arun`, `acall`, `_acall`
* Implement them in `LLMChain` and `LLMMathChain` for now

**Agent**
* Refactor and leverage async chain and llm methods
* Add ability for `Tools` to contain async coroutine
* Implement async SerpaPI `arun`

Create demo notebook.

Open questions:
* Should all the async stuff go in separate classes? I've seen both
patterns (keeping the same class and having async and sync methods vs.
having class separation)
1 year ago
Harrison Chase 86dbdb118b
Harrison/serpapi extra tools (#691)
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
1 year ago
Harrison Chase 27cef0870d
bump version to 0.0.67 (#689) 1 year ago
Harrison Chase 3d41af0aba
Harrison/load tools kwargs (#681)
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
1 year ago
Harrison Chase ffc7e04d44
Harrison/wolfram alpha (#579)
Co-authored-by: Nicolas <nicolascamara29@gmail.com>
1 year ago
Harrison Chase 0072686aab
Harrison/new search engine (#477)
Co-authored-by: Nicolas <nicolascamara29@gmail.com>
1 year ago
Harrison Chase cf98f219f9
Harrison/tools exp (#372) 1 year ago