Update project references to Apache Burr and remove DAGWorks attributions

.github/workflows/docs.yml

@@ -29,6 +29,7 @@ on:
 permissions:
   contents: write
   pull-requests: write
+  issues: write
 
 concurrency: ci-${{ github.ref }}
 

README.md

@@ -160,9 +160,7 @@ While Apache Burr is attempting something (somewhat) unique, there are a variety
 ## 🌯 Why the name Burr?
 
 Apache Burr is named after [Aaron Burr](https://en.wikipedia.org/wiki/Aaron_Burr), founding father, third VP of the United States, and murderer/arch-nemesis of [Alexander Hamilton](https://en.wikipedia.org/wiki/Alexander_Hamilton).
-What's the connection with Hamilton? This is [DAGWorks](www.dagworks.io)' second open-source library release after the [Apache Hamilton library](https://github.com/apache/hamilton)
-We imagine a world in which Burr and Hamilton lived in harmony and saw through their differences to better the union. We originally
-built Apache Burr as a _harness_ to handle state between executions of Apache Hamilton DAGs (because DAGs don't have cycles),
+What's the connection with (Apache) Hamilton? We imagine a world in which Burr and Hamilton lived in harmony and saw through their differences to better the union. Originally Apache Burr was built as a _harness_ to handle state between executions of Apache Hamilton DAGs (because DAGs don't have cycles),
 but realized that it has a wide array of applications and decided to release it more broadly.
 
 # Testimonials

burr/tracking/server/backend.py

@@ -257,10 +257,10 @@ def safe_json_load(line: bytes):
 
 def get_uri(project_id: str) -> str:
     project_id_map = {
-        "demo_counter": "https://github.com/DAGWorks-Inc/burr/tree/main/examples/hello-world-counter",
-        "demo_tracing": "https://github.com/DAGWorks-Inc/burr/tree/main/examples/tracing-and-spans/application.py",
-        "demo_chatbot": "https://github.com/DAGWorks-Inc/burr/tree/main/examples/multi-modal-chatbot",
-        "demo_conversational-rag": "https://github.com/DAGWorks-Inc/burr/tree/main/examples/conversational-rag",
+        "demo_counter": "https://github.com/apache/burr/tree/main/examples/hello-world-counter",
+        "demo_tracing": "https://github.com/apache/burr/tree/main/examples/tracing-and-spans/application.py",
+        "demo_chatbot": "https://github.com/apache/burr/tree/main/examples/multi-modal-chatbot",
+        "demo_conversational-rag": "https://github.com/apache/burr/tree/main/examples/conversational-rag",
     }
     return project_id_map.get(project_id, "")
 

docs/examples/chatbots/gpt-like-chatbot.ipynb

@@ -19,7 +19,7 @@
     "<img src=\"https://github.com/user-attachments/assets/2ab9b499-7ca2-4ae9-af72-ccc775f30b4e\" width=\"100\" align=\"left\" /> + \n",
     "<img src=\"https://cdn.mos.cms.futurecdn.net/VgGxJABA8DcfAMpPPwdv6a.jpg\" width=\"200\" align=\"center\"/>\n",
     "\n",
-    "[https://github.com/apache/burr](https://github.com/apache/burr) by DAGWorks Inc. (YCW23 & StartX).\n",
+    "[https://github.com/apache/burr](https://github.com/apache/burr).\n",
     "\n",
     "Take🏠:\n",
     "\n",

examples/adaptive-crag/README.md

@@ -38,4 +38,4 @@ We stop after `ask_assistant` to get the next `query` for `router`.
 ## Adaptive-CRAG 🧪
 ![statemachine](statemachine.png)
 
-We have some of the core concepts from the [Burr Docs](https://burr.dagworks.io/concepts/) in a folder and we will add that to a `LanceDB` table for Hybrid Search. You can add as many tables as you want. Each table will be a different route for the `router`.
+We have some of the core concepts from the [Burr Docs](https://burr.apache.org/concepts/) in a folder and we will add that to a `LanceDB` table for Hybrid Search. You can add as many tables as you want. Each table will be a different route for the `router`.

examples/conversational-rag/graph_db_example/README.md

@@ -102,7 +102,7 @@ This will run the following two pipelines:
 ![ingest fighters](ingest_fighters.png)
 ![ingest fights](ingest_fights.png)
 
-**Note:** [Hamilton](https://github.com/dagworks-inc/hamilton) also comes with a UI that you can use to visualize the pipeline and
+**Note:** [Hamilton](https://github.com/apache/hamilton) also comes with a UI that you can use to visualize the pipeline and
 track execution information about it. See hamilton_ingest.py or ingest_notebook.ipynb for more information.
 
 ## Ingest data using a notebook:

examples/conversational-rag/graph_db_example/ingest_notebook.ipynb

@@ -26,7 +26,7 @@
    "source": [
     "# Ingestion Notebook\n",
     "\n",
-    "In this notebook we see how to load data into FalkorDB using [Hamilton](https://github.com/dagWorks-Inc/hamilton)."
+    "In this notebook we see how to load data into FalkorDB using [Hamilton](https://github.com/apache/hamilton)."
    ]
   },
   {
@@ -295,7 +295,7 @@
    "metadata": {},
    "source": [
     "### Note about the Hamilton UI\n",
-    "Hamilton comes with an [open source UI](https://hamilton.dagworks.io/en/latest/hamilton-ui/) that you can\n",
+    "Hamilton comes with an [open source UI](https://hamilton.apache.io/en/latest/hamilton-ui/) that you can\n",
     "surface information about your Hamilton executions. If you pull the docker containers\n",
     "locally and uncomment adding the HamiltonTracker, then you'll see runs logged to it."
    ]

examples/hamilton-integration/notebook.ipynb

@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Use the 2-layer approach for a maintainable RAG system [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dagworks-inc/burr/blob/main/examples/hamilton-integration/notebook.ipynb) [![GitHub badge](https://img.shields.io/badge/github-view_source-2b3137?logo=github)](https://github.com/dagworks-inc/burr/blob/main/examples/hamilton-integration/notebook.ipynb)\n",
+    "# Use the 2-layer approach for a maintainable RAG system [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dagworks-inc/burr/blob/main/examples/hamilton-integration/notebook.ipynb) [![GitHub badge](https://img.shields.io/badge/github-view_source-2b3137?logo=github)](https://github.com/apache/burr/blob/main/examples/hamilton-integration/notebook.ipynb)\n",
     "\n",
     "Ready-made solutions can get you started with GenAI, but building reliable product features with retrieval augmented generation (RAG) and LLM agents inevitably required custom code. This post shares the 2-layer approach to build a maintainable RAG application that will evolve with your needs. To illustrate these ideas, we will show how a typical RAG project might evolve.\n",
     "\n",
@@ -676,7 +676,7 @@
     "\n",
     "In th next snippets, we refactor actions using Hamilton, a lightweight library to structure data transformations as directed acyclic graphs (DAGs). Hamilton uses the function and parameter names to infer the dependencies between functions and the graph structure.\n",
     "\n",
-    "The next cell reimplements the `ingest_blog` action from `V2`. It uses `%%cell_to_module` from the Hamilton notebook extension to define a DAG in a single cell and view it ([see tutorial](https://github.com/DAGWorks-Inc/hamilton/blob/main/examples/jupyter_notebook_magic/example.ipynb))."
+    "The next cell reimplements the `ingest_blog` action from `V2`. It uses `%%cell_to_module` from the Hamilton notebook extension to define a DAG in a single cell and view it ([see tutorial](https://github.com/apache/hamilton/blob/main/examples/jupyter_notebook_magic/example.ipynb))."
    ]
   },
   {

examples/image-telephone/README.md

@@ -29,7 +29,7 @@ that talks to itself to do something fun. The game is simple:
 2. That caption is then provided to DALL-E, which generates an image based on the caption, which is saved to state.
 3. The loop repeats -- and you have encoded the game of telephone!
 
-Specifically, each action here in Burr is delegated to the [Hamilton](https://github.com/dagworks-inc/hamilton) micro-framework to run.
+Specifically, each action here in Burr is delegated to the [Hamilton](https://github.com/apache/hamilton) micro-framework to run.
 Hamilton is a great replacement for tools like LCEL, because it's built to provide a great SDLC experience, in addition
 to being lightweight, extensible and more general
 purpose (e.g. it's great for expressing things data processing, ML, and web-request logic). We're using
@@ -71,5 +71,5 @@ documentation for the Hamilton dataflows that are used: [captioning](https://hub
 template by overriding values, or by copying the code and modifying it yourself in 2 minutes - see instructions on the [hub](https://hub.dagworks.io/).
 
 ## Hamilton code
-For more details on the [Hamilton](https://github.com/dagworks-inc/hamilton) code and
-this [streamlit app](https://image-telephone.streamlit.app) see [this example in the Hamilton repo.](https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/LLM_Workflows/image_telephone)
+For more details on the [Hamilton](https://github.com/apache/hamilton) code and
+this [streamlit app](https://image-telephone.streamlit.app) see [this example in the Hamilton repo.](https://github.com/apache/hamilton/tree/main/examples/LLM_Workflows/image_telephone)

examples/ml-training/README.md

@@ -19,7 +19,7 @@
 
 # ML Training
 
-This is a WIP! Please contribute back if you have ideas. You can track the associated issue [here](https://github.com/DAGWorks-Inc/burr/issues/138).
+This is a WIP! Please contribute back if you have ideas. You can track the associated issue [here](https://github.com/apache/burr/issues/138).
 
 A machine learning training system can easily be modeled as a state machine.
 
@@ -52,7 +52,7 @@ you can use Burr hooks to log metrics, visualize, etc... at each step. This allo
 
 While some models are trained in a single-shot and shipped to production, many require human input.
 Burr can be used to express training, then checkpoint/pause the state while a human is evaluating it,
-and have their input (e.g. go/no-go) passed in as an [input parameter](https://burr.dagworks.io/concepts/actions/#runtime-inputs).
+and have their input (e.g. go/no-go) passed in as an [input parameter](https://burr.apache.org/concepts/actions/#runtime-inputs).
 
 Note that this still requires a scheduling tool (say a task executor that runs until the next human input is needed),
 but that task executor does not need to be complicated (all it needs to do is run a job when prompted, and possibly on a chron schedule).

examples/multi-agent-collaboration/README.md

@@ -23,7 +23,7 @@ This example resembles the example from following [cookbook](https://github.com/
 
 There are two implementations:
 
-1. `hamilton/` -- this uses [Hamilton](https://github.com/dagworks-inc/hamilton) inside the defined actions.
+1. `hamilton/` -- this uses [Hamilton](https://github.com/apache/hamilton) inside the defined actions.
 2. `lcel/` -- this uses LangChain's LCEL inside the defined actions.
 
 # `hamilton/application.py` vs `lcel/application.py`:

examples/multi-agent-collaboration/hamilton/README.md

@@ -27,7 +27,7 @@ With Hamilton the prompts can be found in the module [`func_agent.py`](func_agen
 
 The Hamilton code creates the following dataflow:
 
-![dataflow](https://github.com/DAGWorks-Inc/burr/assets/2328071/24822ee5-f05b-4fa4-95e7-daa23969cfff)
+![dataflow](https://github.com/apache/burr/assets/2328071/24822ee5-f05b-4fa4-95e7-daa23969cfff)
 
 
 # Tracing

examples/multi-modal-chatbot/burr_demo.ipynb

@@ -19,7 +19,7 @@
     "<img src=\"https://github.com/user-attachments/assets/2ab9b499-7ca2-4ae9-af72-ccc775f30b4e\" width=\"100\" align=\"left\" /> +\n",
     "<img src=\"https://cdn.mos.cms.futurecdn.net/VgGxJABA8DcfAMpPPwdv6a.jpg\" width=\"200\" align=\"center\"/>\n",
     "\n",
-    "[https://github.com/dagworks-inc/burr](https://github.com/dagworks-inc/burr) by DAGWorks Inc. (YCW23 & StartX).\n",
+    "[https://github.com/apache/burr](https://github.com/apache/burr).\n",
     "\n",
     "Take🏠:\n",
     "\n",
@@ -82,7 +82,7 @@
    "metadata": {},
    "source": [
     "# Solution: Burr\n",
-    "(Complements our other framework [Hamilton](https://github.com/dagWorks-Inc/hamilton))\n"
+    "(Complements our other framework [Hamilton](https://github.com/apache/hamilton))\n"
    ]
   },
   {
@@ -1002,7 +1002,7 @@
     "\n",
     "[Link to video walking through this notebook](https://youtu.be/hqutVJyd3TI).\n",
     "\n",
-    "[https://github.com/dagworks-inc/burr](https://github.com/dagworks-inc/burr)\n",
+    "[https://github.com/apache/burr](https://github.com/apache/burr)\n",
     "<img src=\"burr_qrcode.png\" width=\"125\"/>\n",
     "\n",
     "[Time Travel blog post & video:](https://blog.dagworks.io/p/travel-back-in-time-with-burr)\n",
@@ -1013,10 +1013,10 @@
     "\n",
     "More blogs @ `blog.dagworks.io` e.g. [async & streaming](https://blog.dagworks.io/p/streaming-chatbot-with-burr-fastapi)\n",
     "\n",
-    "More [examples](https://github.com/DAGWorks-Inc/burr/tree/main/examples/):\n",
+    "More [examples](https://github.com/apache/burr/tree/main/examples/):\n",
     "\n",
-    "- e.g. [test case creation](https://burr.dagworks.io/examples/guardrails/creating_tests/)\n",
-    "- e.g. [multi-agent collaboration](https://github.com/DAGWorks-Inc/burr/tree/main/examples/multi-agent-collaboration)\n",
+    "- e.g. [test case creation](https://burr.apache.org/examples/guardrails/creating_tests/)\n",
+    "- e.g. [multi-agent collaboration](https://github.com/apache/burr/tree/main/examples/multi-agent-collaboration)\n",
     "\n",
     "Follow on Twitter & LinkedIn:\n",
     "\n",

examples/opentelemetry/README.md

@@ -29,4 +29,4 @@ We have two modes:
 See [notebook.ipynb](./notebook.ipynb) for a simple overview.
 See [application.py](./application.py) for the full code
 
-See the [documentation](https://burr.dagworks.io/concepts/additional-visibility/#open-telemetry) for more info
+See the [documentation](https://burr.apache.org/concepts/additional-visibility/#open-telemetry) for more info

examples/opentelemetry/notebook.ipynb

@@ -34,7 +34,7 @@
    "source": [
     "# OpenTelemetry\n",
     "\n",
-    "In this notebook we'll instrument a simple Burr app with [OpenTelemetry](www.opentelemetry.io). See the [docs](https://burr.dagworks.io/concepts/additional-visibility/) for more information."
+    "In this notebook we'll instrument a simple Burr app with [OpenTelemetry](www.opentelemetry.io). See the [docs](https://burr.apache.org/concepts/additional-visibility/) for more information."
    ]
   },
   {

examples/parallelism/README.md

@@ -19,7 +19,7 @@
 
 # Parallelism
 
-In this example we go over Burr's parallelism capabilities. It is based on the documentation (https://burr.dagworks.io/concepts/parallelism/), demonstrating the `MapStates` capabilities.
+In this example we go over Burr's parallelism capabilities. It is based on the documentation (https://burr.apache.org/concepts/parallelism/), demonstrating the `MapStates` capabilities.
 
 See [the notebook](./notebook.ipynb) for the full example. Or <a target="_blank" href="https://colab.research.google.com/github/dagworks-inc/burr/blob/main/examples/parallelism/notebook.ipynb">
   <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>