From 710a028e3a8e9dc506a0d0b1644f864ff413bb34 Mon Sep 17 00:00:00 2001
From: Abhay Kumar <akanyaani@gmail.com>
Date: Sat, 24 Oct 2026 02:24:05 +0530
Subject: [PATCH] Release 0.2.0

- Version 0.2.0 (was 0.2.0.dev0), so pip installs it by default.
- Project links (repository, issues, docs, dataset) for the PyPI page.
- README: pip install first; the picture uses an absolute URL so it also
  shows on PyPI.
---
 README.md                      | 16 +++++++---------
 pyproject.toml                 |  9 ++++++++-
 src/decisionformer/__init__.py |  2 +-
 3 files changed, 16 insertions(+), 11 deletions(-)

diff --git a/README.md b/README.md
index 14767c8..20d000b 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # DecisionFormer
 
-![DecisionFormer](assets/decisionformer.svg)
+![DecisionFormer](https://raw.githubusercontent.com/FrontiersMindAI/decisionformer/main/assets/decisionformer.svg)
 
 The simplest way to fine-tune and serve decision models on any Hugging Face model. Give it a *state* and typed
 *questions*; it returns a calibrated probability for every option in a single forward pass, with no text
@@ -10,23 +10,21 @@ generation. Three lines to decide, one command to train, one command to serve.
 
 Python 3.10 or newer, with PyTorch 2.6+ and transformers 5.20+.
 
-**From GitHub**
+```bash
+pip install decisionformer                 # the library and CLI
+pip install "decisionformer[serve]"        # with the API server
+```
+
+The latest code, or a development install:
 
 ```bash
 pip install "decisionformer[serve] @ git+https://github.com/FrontiersMindAI/decisionformer.git"
 
-# or, to develop
 git clone https://github.com/FrontiersMindAI/decisionformer.git
 cd decisionformer
 pip install -e ".[dev]"
 ```
 
-**With pip**, once v0.2.0 is published on PyPI (the name currently holds an empty placeholder):
-
-```bash
-pip install "decisionformer[serve]"
-```
-
 Optional extras, combined as `pip install "decisionformer[serve,qlora]"`:
 
 | extra | adds |
diff --git a/pyproject.toml b/pyproject.toml
index 0a4a9f4..d22f81b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "decisionformer"
-version = "0.2.0.dev0"
+version = "0.2.0"
 description = "Train, load, serve and benchmark one-pass decision models on any Hugging Face backbone."
 readme = "README.md"
 license = "Apache-2.0"
@@ -28,6 +28,13 @@ dependencies = [
   "protobuf>=4",
 ]
 
+[project.urls]
+Homepage = "https://github.com/FrontiersMindAI/decisionformer"
+Repository = "https://github.com/FrontiersMindAI/decisionformer"
+Issues = "https://github.com/FrontiersMindAI/decisionformer/issues"
+Documentation = "https://github.com/FrontiersMindAI/decisionformer#readme"
+Dataset = "https://huggingface.co/datasets/FrontiersMind/deciformer-15k"
+
 [project.optional-dependencies]
 qlora = ["bitsandbytes>=0.45"]
 serve = ["fastapi>=0.110", "uvicorn>=0.29"]
diff --git a/src/decisionformer/__init__.py b/src/decisionformer/__init__.py
index 0791f7e..c61dc29 100644
--- a/src/decisionformer/__init__.py
+++ b/src/decisionformer/__init__.py
@@ -9,7 +9,7 @@
     decisionformer.train("deciformer15k_qwen3")          # fine-tune from a bundled recipe, a YAML file or a dict
 """
 
-__version__ = "0.2.0.dev0"
+__version__ = "0.2.0"
 
 from decisionformer.api import AutoDecisionModel, Decider, UnsupportedInput  # noqa: E402
 from decisionformer.config import RunConfig, list_recipes, load_config  # noqa: E402