Correct pathways, update site color, front page fixes (#1146)

Follow up to #1143 and moving the repo to dottxt-ai. 

- A lot of our links were broken because they pointed to the old site.
- We changed the logo and the color but it wasn't fully integrated
across the site.

I fixed these, and made some improvements to the front page so that it's
a little cleaner.

New mobile/desktop views


![image](https://github.com/user-attachments/assets/9c068733-9cbc-4864-a5cd-763cb7403fa5)

![image](https://github.com/user-attachments/assets/ddc5c638-6129-439d-8645-403af1ec9acf)

Current for reference


![image](https://github.com/user-attachments/assets/2bcebe41-a4db-4fba-9a0e-d8adfaf8b1f9)

GitHub contributors are still available off the welcome page: 

![image](https://github.com/user-attachments/assets/ce4b21e6-2969-47f6-b351-19cf91759868)

.github/ISSUE_TEMPLATE/config.yml

@@ -1,4 +1,4 @@
 contact_links:
   - name: 🤔 Questions & Help
-    url: https://github.com/outlines-dev/outlines/discussions/new
+    url: https://github.com/dottxt-ai/outlines/discussions/new
     about: "If you have a question about how to use Outlines, please start a discussion."

.github/PULL_REQUEST_TEMPLATE/pull_request_template.md

@@ -18,6 +18,6 @@ A few important guidelines and requirements before we can merge your PR:
 Consider opening a **Draft PR** if your work is still in progress but you would
 like some feedback from other contributors.
 
-[issues]: https://github.com/outlines-dev/outlines/issues
+[issues]: https://github.com/dottxt-ai/outlines/issues
 [git-guidelines]: https://tbaggery.com/2008/04/19/a-note-about-git-commit-messages.html
 [docstring-guidelines]: https://numpydoc.readthedocs.io/en/latest/format.html

Dockerfile

@@ -13,5 +13,5 @@ COPY outlines ./outlines
 RUN --mount=source=.git,target=.git,type=bind \
     pip install --no-cache-dir .[serve]
 
-# https://outlines-dev.github.io/outlines/reference/vllm/
+# https://dottxt-ai.github.io/outlines/reference/vllm/
 ENTRYPOINT ["python3", "-m", "outlines.serve.serve"]

README.md

@@ -22,11 +22,11 @@ Made with ❤👷️ by the team at [.txt](https://dottxt.co).
 pip install outlines
 ```
 
-First time here? Go to our [setup guide](https://outlines-dev.github.io/outlines/welcome)
+First time here? Go to our [setup guide](https://dottxt-ai.github.io/outlines/welcome)
 
 ## Features
 
-- [x] 🤖 [Multiple model integrations](https://outlines-dev.github.io/outlines/installation): OpenAI, transformers, llama.cpp, exllama2, mamba
+- [x] 🤖 [Multiple model integrations](https://dottxt-ai.github.io/outlines/installation): OpenAI, transformers, llama.cpp, exllama2, mamba
 - [x] 🖍️ Simple and powerful prompting primitives based on the [Jinja templating engine](https://jinja.palletsprojects.com/)
 - [x] 🚄 [Multiple choices](#multiple-choices), [type constraints](#type-constraint) and dynamic stopping
 - [x] ⚡ Fast [regex-structured generation](#efficient-regex-structured-generation)
@@ -36,10 +36,10 @@ First time here? Go to our [setup guide](https://outlines-dev.github.io/outlines
 - [x] 💾 Caching of generations
 - [x] 🗂️ Batch inference
 - [x] 🎲 Sample with the greedy, multinomial and beam search algorithms (and more to come!)
-- [x] 🚀 [Serve with vLLM](https://outlines-dev.github.io/outlines/reference/serve/vllm), with official Docker image, [`outlinesdev/outlines`](https://hub.docker.com/r/outlinesdev/outlines)!
+- [x] 🚀 [Serve with vLLM](https://dottxt-ai.github.io/outlines/reference/serve/vllm), with official Docker image, [`outlinesdev/outlines`](https://hub.docker.com/r/outlinesdev/outlines)!
 
 
-Outlines 〰 has new releases and features coming every week. Make sure to ⭐ star and 👀 watch this repository, follow [@dottxtai][dottxt-twitter] to stay up to date!
+Outlines  has new releases and features coming every week. Make sure to ⭐ star and 👀 watch this repository, follow [@dottxtai][dottxt-twitter] to stay up to date!
 
 ## Why should I use structured generation?
 
@@ -145,7 +145,7 @@ as non-structured generation.
 
 ### Efficient JSON generation following a Pydantic model
 
-Outlines 〰 allows to guide the generation process so the output is *guaranteed* to follow a [JSON schema](https://json-schema.org/) or [Pydantic model](https://docs.pydantic.dev/latest/):
+Outlines  allows to guide the generation process so the output is *guaranteed* to follow a [JSON schema](https://json-schema.org/) or [Pydantic model](https://docs.pydantic.dev/latest/):
 
 ```python
 from enum import Enum
@@ -197,7 +197,7 @@ print(repr(character))
 # Character(name='Vivian Thr', age=44, armor=<Armor.plate: 'plate'>, weapon=<Weapon.crossbow: 'crossbow'>, strength=125)
 ```
 
-The method works with union types, optional types, arrays, nested schemas, etc. Some field constraints are [not supported yet](https://github.com/outlines-dev/outlines/issues/215), but everything else should work.
+The method works with union types, optional types, arrays, nested schemas, etc. Some field constraints are [not supported yet](https://github.com/dottxt-ai/outlines/issues/215), but everything else should work.
 
 ### Efficient JSON generation following a JSON Schema
 
@@ -277,7 +277,7 @@ print(sequence)
 # (8-2)
 ```
 
-This was a very simple grammar, and you can use `outlines.generate.cfg` to generate syntactically valid Python, SQL, and much more than this. Any kind of structured text, really. All you have to do is search for "X EBNF grammar" on the web, and take a look at the [Outlines `grammars` module](https://github.com/outlines-dev/outlines/tree/main/outlines/grammars).
+This was a very simple grammar, and you can use `outlines.generate.cfg` to generate syntactically valid Python, SQL, and much more than this. Any kind of structured text, really. All you have to do is search for "X EBNF grammar" on the web, and take a look at the [Outlines `grammars` module](https://github.com/dottxt-ai/outlines/tree/main/outlines/grammars).
 
 ### Open functions
 
@@ -339,8 +339,8 @@ answer = outlines.generate.text(model)(prompt, max_tokens=100)
 ## Join us
 
 - 💡 **Have an idea?** Come chat with us on [Discord][discord]
-- 🔨 **Want to contribute?** Consult our [contribution guide](https://outlines-dev.github.io/outlines/community/contribute/).
-- 🐞 **Found a bug?** Open an [issue](https://github.com/outlines-dev/outlines/issues)
+- 🔨 **Want to contribute?** Consult our [contribution guide](https://dottxt-ai.github.io/outlines/community/contribute/).
+- 🐞 **Found a bug?** Open an [issue](https://github.com/dottxt-ai/outlines/issues)
 
 
 ## Cite Outlines
@@ -354,10 +354,10 @@ answer = outlines.generate.text(model)(prompt, max_tokens=100)
 }
 ```
 
-[documentation]: https://outlines-dev.github.io/outlines/welcome/
+[documentation]: https://dottxt-ai.github.io/outlines/welcome/
 [documentation-badge]: https://img.shields.io/readthedocs/outlines
-[contributors]: https://github.com/outlines-dev/outlines/graphs/contributors
-[contributors-badge]: https://img.shields.io/github/contributors/outlines-dev/outlines?style=flat-square&logo=github&logoColor=white&color=ECEFF4
+[contributors]: https://github.com/dottxt-ai/outlines/graphs/contributors
+[contributors-badge]: https://img.shields.io/github/contributors/dottxt-ai/outlines?style=flat-square&logo=github&logoColor=white&color=ECEFF4
 [dottxt-twitter]: https://twitter.com/dottxtai
 [outlines-twitter]: https://twitter.com/OutlinesOSS
 [discord]: https://discord.gg/R9DSu34mGd

benchmarks/asv.conf.json

@@ -1,7 +1,7 @@
 {
     "version": 1,
     "project": "Outlines",
-    "project_url": "https://outlines-dev.github.io/outlines/",
+    "project_url": "https://dottxt-ai.github.io/outlines/",
     "repo": "..",
     "branches": [
 	"HEAD"
@@ -11,7 +11,7 @@
         "PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}",
     ],
     "environment_type": "virtualenv",
-    "show_commit_url": "https://github.com/outlines-dev/outlines/commit/",
+    "show_commit_url": "https://github.com/dottxt-ai/outlines/commit/",
     "benchmark_dir": ".",
     "env_dir": "env",
     "results_dir": "results",

docs/blog/posts/roadmap-2024.md

@@ -23,13 +23,13 @@ Thanks to a refactor of the library, it is now possible to use our constrained g
 
 *We would like expand our work to the whole sampling layer*, and add new sampling methods that should make structured generation more accurate. This means we will keep the `transformers` integration as it is today and will expand our text generation logic around this library.
 
-Making workflows re-usable and easy to share is difficult today. That is why *we are big believers in [outlines functions](https://github.com/outlines-dev/functions)*. We will keep improving the interface and adding examples.
+Making workflows re-usable and easy to share is difficult today. That is why *we are big believers in [outlines functions](https://github.com/dottxt-ai/functions)*. We will keep improving the interface and adding examples.
 
 Finally, *we want to add a CLI tool*, `outlines serve`. This will allows you to either serve an API that does general constrained generation, or to serve Outlines function.
 
 ## Detailed roadmap
 
-Here is a more detailed roadmap for the next 12 months. Outlines is a [community](https://discord.gg/ZxBxyWmW5n) effort, and we invite you to pick either topic and [contribute to the library](https://github.com/outlines-dev/outlines). I will progressively add related [issues](https://github.com/outlines-dev/outlines/issues) in the repository.
+Here is a more detailed roadmap for the next 12 months. Outlines is a [community](https://discord.gg/ZxBxyWmW5n) effort, and we invite you to pick either topic and [contribute to the library](https://github.com/dottxt-ai/outlines). I will progressively add related [issues](https://github.com/dottxt-ai/outlines/issues) in the repository.
 
 ### Many more examples and tutorials
 
@@ -44,7 +44,7 @@ Let's be honest, Outlines is lacking clear and thorough examples. We want to cha
 
 We want to keep the current integrations but lower the maintenance cost so we can focus on what we bring to the table.
 
-* Deprecate every obsolete integration: `transformers` has recently integrated `autoawq` and `autogptq` for instance. ([PR](https://github.com/outlines-dev/outlines/pull/527))
+* Deprecate every obsolete integration: `transformers` has recently integrated `autoawq` and `autogptq` for instance. ([PR](https://github.com/dottxt-ai/outlines/pull/527))
 * See if we can integrate to a library that provides state-space models via a logit processing function;
 * Integrate with llama.cpp via a logits processor;
 * Integrate with exllamav2 via a logits processor;
@@ -55,14 +55,14 @@ We're just getting started!
 
 * Improve the performance of existing structured generation algorithms;
 * Improve the correctness of structured generation algorithms;
-* Add ready-to-use grammars in the [grammars](https://github.com/outlines-dev/grammars) repository or in a submodule in Outlines.
+* Add ready-to-use grammars in the [grammars](https://github.com/dottxt-ai/grammars) repository or in a submodule in Outlines.
 
 ### Keep developing Outlines functions
 
 Functions are awesome, use them!
 
 * Implement a CLI `outlines serve` that allows to serve Outlines functions locally;
-* Add more functions to the [functions](https://github.com/outlines-dev/functions) repository.
+* Add more functions to the [functions](https://github.com/dottxt-ai/functions) repository.
 
 ### Serve structured generation
 

docs/community/contribute.md

@@ -16,7 +16,7 @@ Note that the [issue tracker][issues] is only intended for actionable items. In
 
 ### Setup
 
-First, [fork the repository on GitHub](https://github.com/outlines-dev/outlines/fork) and clone the fork locally:
+First, [fork the repository on GitHub](https://github.com/dottxt-ai/outlines/fork) and clone the fork locally:
 
 ```bash
 git clone [email protected]/YourUserName/outlines.git
@@ -127,6 +127,6 @@ Then you can [open a pull request][pull-requests] on GitHub. It should prompt yo
 Do not hesitate to open a draft PR before your contribution is ready, especially if you have questions and/or need feedback. If you need help, come tell us on [Discord][discord].
 
 [discord]: https://discord.gg/R9DSu34mGd
-[discussions]: https://github.com/outlines-dev/outlines/discussions
-[issues]: https://github.com/outlines-dev/outlines/issues
-[pull-requests]: https://github.com/outlines-dev/outlines/pulls
+[discussions]: https://github.com/dottxt-ai/outlines/discussions
+[issues]: https://github.com/dottxt-ai/outlines/issues
+[pull-requests]: https://github.com/dottxt-ai/outlines/pulls

docs/community/feedback.md

@@ -53,7 +53,7 @@ If Outlines has been helpful to you, let us know on [Discord][discord] or give u
 
 <blockquote class="twitter-tweet"><p lang="en" dir="ltr">This is amazing - glad to see more outp guidance modules! <br><br>Will try this out soon I&#39;m wondering how they translate from regex automatons to token boundaries<br><br>Also why Open Source will succeed. Even today I don&#39;t see any guided output functionality from the big providers. <a href="https://t.co/Ity2H25Klf">https://t.co/Ity2H25Klf</a></p>&mdash; Hrishi (@hrishioa) <a href="https://twitter.com/hrishioa/status/1691181499671080960?ref_src=twsrc%5Etfw">August 14, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
-<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Outlines 〰️- a library to help LLM developers guide text generation in a fast and reliable way.<br><br>&quot;Provides generation methods that guarantee that the output will match a regular expressions, or follow a JSON schema.&quot;<br><br>Need to check this out. Reliable JSON output is a common use… <a href="https://t.co/Bkbh8vKogN">pic.twitter.com/Bkbh8vKogN</a></p>&mdash; elvis (@omarsar0) <a href="https://twitter.com/omarsar0/status/1691179888214966273?ref_src=twsrc%5Etfw">August 14, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
+<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Outlines - a library to help LLM developers guide text generation in a fast and reliable way.<br><br>&quot;Provides generation methods that guarantee that the output will match a regular expressions, or follow a JSON schema.&quot;<br><br>Need to check this out. Reliable JSON output is a common use… <a href="https://t.co/Bkbh8vKogN">pic.twitter.com/Bkbh8vKogN</a></p>&mdash; elvis (@omarsar0) <a href="https://twitter.com/omarsar0/status/1691179888214966273?ref_src=twsrc%5Etfw">August 14, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Woah this is cool! Makes open source models more usable.<br><br>Give any LLM Function Call capability (and more) with Outlines: <a href="https://t.co/PtPykR5ZGR">https://t.co/PtPykR5ZGR</a> <a href="https://t.co/RRQjWHnIxv">https://t.co/RRQjWHnIxv</a> <a href="https://t.co/BwNnH8SMwv">pic.twitter.com/BwNnH8SMwv</a></p>&mdash; Yohei (@yoheinakajima) <a href="https://twitter.com/yoheinakajima/status/1691231912466223104?ref_src=twsrc%5Etfw">August 14, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
@@ -75,7 +75,7 @@ We highly value the insights of our users, and we would love to hear from you. I
 - What challenges are you facing?
 - What do you think could be improved?
 
-To schedule an appointment follow [this link](https://cal.com/dottxt/outlines). This is exclusively intended to share your experience, please go on [Discord][discord] or [GitHub](https://github.com/outlines-dev/outlines/discussions) for support.
+To schedule an appointment follow [this link](https://cal.com/dottxt/outlines). This is exclusively intended to share your experience, please go on [Discord][discord] or [GitHub](https://github.com/dottxt-ai/outlines/discussions) for support.
 
 [discord]: https://discord.gg/UppQmhEpe8
 [twitter]: https://twitter.com/dottxtai

docs/community/versioning.md

@@ -15,7 +15,7 @@ Each part of the version number (`major.minor.patch`) conveys information about
 
 ## Releases
 
-Releases along with release notes can be found on the [Outlines Releases GitHub Page](https://github.com/outlines-dev/outlines/releases).
+Releases along with release notes can be found on the [Outlines Releases GitHub Page](https://github.com/dottxt-ai/outlines/releases).
 
 ## Version Pinning Recommendations
 

docs/cookbook/chain_of_density.md

@@ -122,4 +122,4 @@ print(result.model_dump())
 
 Not bad, considering we used a smallish model to generate the summary! Chain of Density seems to be a very effective prompting technique to generate dense summaries, even with small quantized models. Its implementation in Outlines is also very short.
 
-Note that this is the first article I tried and it worked out of the box. Try it out on other articles, and please share the results on Twitter, or by opening [a new discussion](https://github.com/outlines-dev/outlines/discussions/categories/show-and-tell) on the Outlines repository!
+Note that this is the first article I tried and it worked out of the box. Try it out on other articles, and please share the results on Twitter, or by opening [a new discussion](https://github.com/dottxt-ai/outlines/discussions/categories/show-and-tell) on the Outlines repository!

docs/cookbook/chain_of_thought.md

@@ -3,7 +3,7 @@
 
 Chain of thought is a prompting technique introduced in the paper ["Chain-of-Thought Prompting Elicits Reasoning in Large Language Models"](https://arxiv.org/abs/2201.11903) where throught prompting the authors generate a series of intermediate reasoning steps which improves the ability of LLMs to perform complex reasoning.
 
-In this guide, we use [outlines](https://outlines-dev.github.io/outlines/) to apply chain of thought through structured output.
+In this guide, we use [outlines](https://dottxt-ai.github.io/outlines/) to apply chain of thought through structured output.
 
 We use [llama.cpp](https://github.com/ggerganov/llama.cpp) using the [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) library. Outlines supports llama-cpp-python, but we need to install it ourselves:
 

docs/cookbook/deploy-using-bentoml.md

@@ -2,7 +2,7 @@
 
 [BentoML](https://github.com/bentoml/BentoML) is an open-source model serving library for building performant and scalable AI applications with Python. It comes with tools that you need for serving optimization, model packaging, and production deployment.
 
-In this guide, we will show you how to use BentoML to run programs written with Outlines on GPU locally and in [BentoCloud](https://www.bentoml.com/), an AI Inference Platform for enterprise AI teams. The example source code in this guide is also available in the [examples/bentoml/](https://github.com/outlines-dev/outlines/blob/main/examples/bentoml/) directory.
+In this guide, we will show you how to use BentoML to run programs written with Outlines on GPU locally and in [BentoCloud](https://www.bentoml.com/), an AI Inference Platform for enterprise AI teams. The example source code in this guide is also available in the [examples/bentoml/](https://github.com/dottxt-ai/outlines/blob/main/examples/bentoml/) directory.
 
 ## Import a model
 
@@ -56,7 +56,7 @@ mistralai--mistral-7b-v0.1:m7lmf5ac2cmubnnz          13.49 GiB   2024-04-25 06:5
 
 As the model is ready, we can define a [BentoML Service](https://docs.bentoml.com/en/latest/guides/services.html) to wrap the capabilities of the model.
 
-We will run the JSON-structured generation example [in the README](https://github.com/outlines-dev/outlines?tab=readme-ov-file#efficient-json-generation-following-a-json-schema), with the following schema:
+We will run the JSON-structured generation example [in the README](https://github.com/dottxt-ai/outlines?tab=readme-ov-file#efficient-json-generation-following-a-json-schema), with the following schema:
 
 ```python
 DEFAULT_SCHEMA = """{
@@ -153,7 +153,7 @@ We then need to define an HTTP endpoint using `@bentoml.api` to decorate the met
 
 Here `@bentoml.api` decorator defines `generate` as an HTTP endpoint that accepts a JSON request body with two fields: `prompt` and `json_schema` (optional, which allows HTTP clients to provide their own JSON schema). The type hints in the function signature will be used to validate incoming JSON requests. You can define as many HTTP endpoints as you want by using `@bentoml.api` to decorate other methods of `Outlines` class.
 
-Now you can save the above code to `service.py` (or use [this implementation](https://github.com/outlines-dev/outlines/blob/main/examples/bentoml/)), and run the code using the BentoML CLI.
+Now you can save the above code to `service.py` (or use [this implementation](https://github.com/dottxt-ai/outlines/blob/main/examples/bentoml/)), and run the code using the BentoML CLI.
 
 ## Run locally for testing and debugging