kennethreitz/instructor
1
0
Fork 0
mirror of https://github.com/kennethreitz/instructor.git synced 2026-06-05 22:50:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

doc: references to PHP port added to docs (#474)

Browse Source
This commit is contained in:
Dariusz Debowczyk
2024-03-01 15:09:17 +01:00
committed by GitHub
parent 3804ec6ac5
commit 3fc2cd1d61
4 changed files with 5 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
.gitignore
+2 -1
View File
@@ -160,7 +160,8 @@ cython_debug/
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
.idea/
examples/citation_with_extraction/fly.toml
my_cache_directory/
tutorials/wandb/*
README.md
+1 -1
View File
@@ -10,7 +10,7 @@ _Structured outputs powered by llms. Designed for simplicity, transparency, and
Instructor stands out for its simplicity, transparency, and user-centric design. We leverage Pydantic to do the heavy lifting, and we've built a simple, easy-to-use API on top of it by helping you manage [validation context](./docs/concepts/reask_validation.md), retries with [Tenacity](./docs/concepts/retrying.md), and streaming [Lists](./docs/concepts/lists.md) and [Partial](./docs/concepts/partial.md) responses.
Check us out in [Typescript](https://instructor-ai.github.io/instructor-js/) and [Elixir](https://github.com/thmsmlr/instructor_ex/).
Check us out in [Typescript](https://instructor-ai.github.io/instructor-js/), [Elixir](https://github.com/thmsmlr/instructor_ex/) and [PHP](https://github.com/cognesy/instructor-php/).
Instructor is not limited to the OpenAI API, we have support for many other backends that via patching. Check out more on [patching](./docs/concepts/patching.md).
docs/hub/together.md
+1 -1
View File
@@ -24,7 +24,7 @@ By the end of this blog post, you will learn how to effectively utilize instruct
!!! note "Other Languages"
This blog post is written in Python, but the concepts are applicable to other languages as well, as we currently have support for [Javascript](
https://instructor-ai.github.io/instructor-js) and [Elixir](https://hexdocs.pm/instructor/Instructor.html)
https://instructor-ai.github.io/instructor-js), [Elixir](https://hexdocs.pm/instructor/Instructor.html) and [PHP](https://github.com/cognesy/instructor-php/).
<!-- more -->
docs/index.md
+1 -1
View File
@@ -12,7 +12,7 @@ Instructor makes it easy to reliably get structured data like JSON from Large La
By leveraging various modes like Function Calling, Tool Calling and even constrained sampling modes like JSON mode, JSON Schema; Instructor stands out for its simplicity, transparency, and user-centric design. We leverage Pydantic to do the heavy lifting, and we've built a simple, easy-to-use API on top of it by helping you manage [validation context](./concepts/reask_validation.md), retries with [Tenacity](./concepts/retrying.md), and streaming [Lists](./concepts/lists.md) and [Partial](./concepts/partial.md) responses.
We also provide library in [Typescript](https://instructor-ai.github.io/instructor-js/) and [Elixir](https://github.com/thmsmlr/instructor_ex/).
We also provide library in [Typescript](https://instructor-ai.github.io/instructor-js/), [Elixir](https://github.com/thmsmlr/instructor_ex/) and [PHP](https://github.com/cognesy/instructor-php/).
## Usage