Migrate from pip to uv for dependency management

Add separate CI workflow for linting/type-checking (make check).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: balogh.adam@icloud.com

.github/workflows/check.yml

@@ -0,0 +1,26 @@
+name: Check
+
+on:
+  pull_request:
+    branches: [main]
+  push:
+    branches: [main]
+
+jobs:
+  check:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+
+      - name: Set up Python
+        run: uv python install 3.11
+
+      - name: Install dependencies
+        run: uv sync --all-extras
+
+      - name: Run checks
+        run: make check

.github/workflows/test.yml

@@ -13,16 +13,14 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+
       - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
+        run: uv python install 3.11
 
       - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .
-          pip install pytest pytest-asyncio
+        run: uv sync --all-extras
 
       - name: Run tests
         run: make test

CLAUDE.md

@@ -4,14 +4,14 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 
 ## Project Overview
 
-OpenGradient Python SDK - A decentralized model management and inference platform SDK. The SDK enables programmatic access to model repositories and decentralized AI infrastructure, including end-to-end verified AI execution. Use virtualenv for dependency management locally (in `venv` folder).
+OpenGradient Python SDK - A decentralized model management and inference platform SDK. The SDK enables programmatic access to model repositories and decentralized AI infrastructure, including end-to-end verified AI execution. Uses `uv` for dependency management.
 
 ## Development Commands
 
 ### Build & Installation
 ```bash
-# Install in development mode
-pip install -e .
+# Install dependencies (syncs from pyproject.toml/uv.lock)
+make install  # or: uv sync --all-extras
 
 # Build distribution
 make build

Makefile

@@ -8,40 +8,40 @@ MODEL ?= google/gemini-3-pro-preview
 # ============================================================================
 
 install:
-	pip install -e .
+	uv sync --all-extras
 
 build:
-	python -m build
+	uv build
 
 publish:
 	@echo "Current version:" $$(grep 'version = ' pyproject.toml | cut -d'"' -f2)
 	rm -rf dist/*
-	python -m build
-	twine upload dist/*
+	uv build
+	uv publish
 
 check:
-	ruff format .
-	mypy src
-	mypy examples
+	uv run ruff format .
+	uv run mypy src
+	uv run mypy examples
 
 docs:
-	pdoc opengradient -o docs --template-dir ./templates --force
+	uv run pdoc opengradient -o docs --template-dir ./templates --force
 
 # ============================================================================
 # Testing
 # ============================================================================
 
 test:
-	pytest tests/ -v
+	uv run pytest tests/ -v
 
 integrationtest:
-	python integrationtest/agent/test_agent.py
-	python integrationtest/workflow_models/test_workflow_models.py
+	uv run python integrationtest/agent/test_agent.py
+	uv run python integrationtest/workflow_models/test_workflow_models.py
 
 examples:
 	@for f in $$(find examples -name '*.py' | sort); do \
 		echo "Running $$f..."; \
-		python "$$f" || exit 1; \
+		uv run python "$$f" || exit 1; \
 	done
 	@echo "All examples passed."
 
@@ -50,38 +50,38 @@ examples:
 # ============================================================================
 
 infer:
-	python -m opengradient.cli infer \
+	uv run python -m opengradient.cli infer \
 		-m "hJD2Ja3akZFt1A2LT-D_1oxOCz_OtuGYw4V9eE1m39M" \
 		--input '{"open_high_low_close": [[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]}'
 
 completion:
-	python -m opengradient.cli completion \
+	uv run python -m opengradient.cli completion \
 		--model $(MODEL) \
 		--prompt "Hello, how are you?" \
 		--max-tokens 50
 
 chat:
-	python -m opengradient.cli chat \
+	uv run python -m opengradient.cli chat \
 		--model $(MODEL) \
 		--messages '[{"role":"user","content":"Tell me a fun fact"}]' \
 		--max-tokens 350
 
 chat-stream:
-	python -m opengradient.cli chat \
+	uv run python -m opengradient.cli chat \
 		--model $(MODEL) \
 		--messages '[{"role":"user","content":"Tell me a short story"}]' \
 		--max-tokens 1250 \
 		--stream
 
 chat-tool:
-	python -m opengradient.cli chat \
+	uv run python -m opengradient.cli chat \
 		--model $(MODEL) \
 		--messages '[{"role":"system","content":"You are a helpful assistant. Use tools when needed."},{"role":"user","content":"What'\''s the weather like in Dallas, Texas? Give me the temperature in fahrenheit."}]' \
 		--tools '[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"city":{"type":"string"},"state":{"type":"string"},"unit":{"type":"string","enum":["fahrenheit","celsius"]}},"required":["city","state","unit"]}}}]' \
 		--max-tokens 200
 
 chat-stream-tool:
-	python -m opengradient.cli chat \
+	uv run python -m opengradient.cli chat \
 		--model $(MODEL) \
 		--messages '[{"role":"system","content":"You are a helpful assistant. Use tools when needed."},{"role":"user","content":"What'\''s the weather like in Dallas, Texas? Give me the temperature in fahrenheit."}]' \
 		--tools '[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"city":{"type":"string"},"state":{"type":"string"},"unit":{"type":"string","enum":["fahrenheit","celsius"]}},"required":["city","state","unit"]}}}]' \