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| Original file line number | Diff line number | Diff line change | ||||
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| @@ -1,21 +1,33 @@ | ||||||
| # Copilot SDK Python Scripts π | ||||||
| # Copilot SDK for Python β Complete Sample Collection π | ||||||
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| > **Zero-ceremony AI scripts in Python** β Single-file Python scripts using the [GitHub Copilot SDK](https://github.com/github/copilot-sdk). Just `pip install` and run. No setup.py, no boilerplateβpure Python simplicity meets AI-powered automation. | ||||||
| > **Production-ready Python samples for the GitHub Copilot SDK** β 17 fully-functional examples demonstrating AI agents, custom tools, browser automation, code review, BDD testing, and more. All tested in CI with `gpt-5-mini` (free tier). Clone, run, and build. | ||||||
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| [](LICENSE) | ||||||
| [](https://www.python.org/downloads/) | ||||||
| [](https://github.com/github/copilot-sdk) | ||||||
| [](https://github.com/Michspirit99/copilot-sdk-python/actions/workflows/ci.yml) | ||||||
| [](https://github.com/Michspirit99/copilot-sdk-python/actions/workflows/agent-scenarios.yml) | ||||||
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||||||
| ## What Is This? | ||||||
| ## Why This Repository? | ||||||
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| This is **the most comprehensive collection of Python samples** for the [GitHub Copilot SDK](https://github.com/github/copilot-sdk). Unlike minimal "hello world" examples, these are **production-ready patterns** you can actually use: | ||||||
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| This repository demonstrates the [GitHub Copilot SDK for Python](https://github.com/github/copilot-sdk/tree/main/python) through practical,single-file scripts. Each script is: | ||||||
| - β **17 complete samples** β streaming, tools, BDD testing, browser automation, code review, and more | ||||||
| - β **Proven in CI** β All samples run end-to-end with `gpt-5-mini` (GitHub's free tier model) | ||||||
| - β **Single-file simplicity** β Each sample is self-contained and ready to run | ||||||
| - β **Real-world patterns** β API testing, log analysis, test data generation, git commit messages | ||||||
| - β **Best practices** β Type hints, async/await, proper error handling, structured outputs | ||||||
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| - **Self-contained** β One `.py` file, ready to run | ||||||
| - **Practical** β Real-world automation use cases | ||||||
| - **Modern Python** β Type hints, async/await, argparse | ||||||
| - **Zero boilerplate** β No setup.py, no project scaffolding | ||||||
| **Perfect whether you're exploring the SDK for the first time or building production AI agents.** | ||||||
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||||||
| ## What Is This? | ||||||
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| The GitHub Copilot SDK gives you programmatic access to the same AI agent runtime powering Copilot CLI and Copilot Chat. | ||||||
| The [GitHub Copilot SDK](https://github.com/github/copilot-sdk/tree/main/python) gives you programmatic access to the same AI agent runtime powering Copilot CLI and VS Code. This repository shows you how to use it effectively through practical, battle-tested examples. | ||||||
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| Each script demonstrates a key SDK capability: | ||||||
| - AI conversation patterns (streaming, multi-turn, interactive) | ||||||
| - Custom tool definitions (function calling) | ||||||
| - Real-world automation (browser control, code review, testing) | ||||||
| - Production patterns (error handling, retries, structured output) | ||||||
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||||||
| ## Prerequisites | ||||||
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@@ -28,43 +40,98 @@ The GitHub Copilot SDK gives you programmatic access to the same AI agent runtim | |||||
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| ```bash | ||||||
| # Clone this repo | ||||||
| git clone https://github.com/Michspirit99/copilot-sdk-python-scripts.git | ||||||
| cd copilot-sdk-python-scripts | ||||||
| git clone https://github.com/Michspirit99/copilot-sdk-python.git | ||||||
| cd copilot-sdk-python | ||||||
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| # Install dependencies | ||||||
| # Install dependencies (creates venv recommended) | ||||||
| python -m venv .venv | ||||||
| source .venv/bin/activate # Windows: .venv\Scripts\activate | ||||||
| pip install -r requirements.txt | ||||||
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| # Run any script β instant AI! | ||||||
| # Run any sample β instant AI! | ||||||
| python samples/hello_copilot.py | ||||||
| python samples/streaming_chat.py "Explain Python decorators" | ||||||
| python samples/code_reviewer.py samples/hello_copilot.py | ||||||
| ``` | ||||||
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| That's it. No virtual environment required (but recommended). No project setup. Just Python and AI. | ||||||
| **That's it.** No API keys needed if you have Copilot CLI access. All samples work with `gpt-5-mini` (free tier). | ||||||
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| ## Complete Sample Catalog | ||||||
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| ## Samples | ||||||
| ### π― Core SDK Patterns | ||||||
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| ### Core Examples | ||||||
| | Sample | What It Shows | Key Techniques | | ||||||
| |--------|--------------|----------------| | ||||||
| | [**hello_copilot.py**](samples/hello_copilot.py) | Minimal example β send prompt, get response | Session management, basic async | | ||||||
| | [**streaming_chat.py**](samples/streaming_chat.py) | Token-by-token streaming output | Event handlers, real-time display | | ||||||
| | [**interactive_chat.py**](samples/interactive_chat.py) | Full terminal chat with history | Multi-turn conversations, message retrieval | | ||||||
| | [**multi_turn_agent.py**](samples/multi_turn_agent.py) | Stateful agent across turns | Session persistence, context management | | ||||||
| | [**multi_model.py**](samples/multi_model.py) | Compare gpt-4.1 vs gpt-5-mini responses | Model selection, parallel queries | | ||||||
| | [**resilient_client.py**](samples/resilient_client.py) | Retries, timeouts, error handling | Production error patterns | | ||||||
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| | Script | Description | | ||||||
| |--------|-------------| | ||||||
| | [`hello_copilot.py`](samples/hello_copilot.py) | Minimal "Hello World" β send a prompt, get a response | | ||||||
| | [`streaming_chat.py`](samples/streaming_chat.py) | Stream responses token-by-token in real time | | ||||||
| | [`interactive_chat.py`](samples/interactive_chat.py) | Full interactive chat loop in the terminal | | ||||||
| | [`code_reviewer.py`](samples/code_reviewer.py) | AI-powered code review β pass any file for analysis | | ||||||
| | [`custom_tools.py`](samples/custom_tools.py) | Define custom Python functions callable by AI | | ||||||
| | [`multi_model.py`](samples/multi_model.py) | Compare responses from gpt-4.1 vs gpt-5-mini | | ||||||
| | [`file_summarizer.py`](samples/file_summarizer.py) | Summarize any text file using AI | | ||||||
| | [`git_commit_writer.py`](samples/git_commit_writer.py) | Generate conventional commit messages from staged changes | | ||||||
| ### π§ Advanced Features | ||||||
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| ### Automation & Testing | ||||||
| | Sample | What It Shows | Key Techniques | | ||||||
| |--------|--------------|----------------| | ||||||
| | [**custom_tools.py**](samples/custom_tools.py) | Define Python functions callable by AI | `@define_tool`, Pydantic models, function calling | | ||||||
| | [**code_reviewer.py**](samples/code_reviewer.py) | AI code review with structured findings | Tool-based structured output, streaming | | ||||||
| | [**model_explorer.py**](samples/model_explorer.py) | Inspect available models and capabilities | API introspection, model metadata | | ||||||
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| | Script | Description | | ||||||
| |--------|-------------| | ||||||
| | [`playwright_agent.py`](samples/playwright_agent.py) | π AI-driven browser automation with Playwright | | ||||||
| | [`log_analyzer.py`](samples/log_analyzer.py) | π Analyze logs for errors, security issues, performance | | ||||||
| | [`api_test_generator.py`](samples/api_test_generator.py) | π§ͺ Generate API tests from OpenAPI/Swagger specs | | ||||||
| | [`test_data_generator.py`](samples/test_data_generator.py) | π² Generate realistic test data in JSON/SQL/CSV | | ||||||
| ### π€ Automation & Real-World Use Cases | ||||||
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| ### Usage Examples | ||||||
| | Sample | What It Does | Use Cases | | ||||||
| |--------|--------------|-----------| | ||||||
| | [**playwright_agent.py**](samples/playwright_agent.py) | AI-guided browser automation | Web scraping, testing, form automation | | ||||||
| | [**log_analyzer.py**](samples/log_analyzer.py) | Analyze logs with custom tools | Error detection, security analysis, performance | | ||||||
| | [**api_test_generator.py**](samples/api_test_generator.py) | Generate pytest tests from OpenAPI specs | API testing, test automation | | ||||||
| | [**test_data_generator.py**](samples/test_data_generator.py) | Create realistic test data (JSON/SQL/CSV) | Database seeding, test fixtures | | ||||||
| | [**file_summarizer.py**](samples/file_summarizer.py) | Summarize any text file | Documentation, README generation | | ||||||
| | [**git_commit_writer.py**](samples/git_commit_writer.py) | Generate conventional commit messages | Git workflow automation | | ||||||
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| ### π§ͺ AI-Enhanced Testing | ||||||
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| | Sample | What It Shows | Key Techniques | | ||||||
| |--------|--------------|----------------| | ||||||
| | [**pytest_ai_validation.py**](samples/pytest_ai_validation.py) | AI-enhanced pytest with intelligent assertions | AI-as-judge, `ast.parse` validation, JSON schema checks, `copilot_session` fixture | | ||||||
| | [**robot_copilot_library.py**](samples/robot_copilot_library.py) | Robot Framework keyword library for AI agents | BDD/Gherkin scenarios, keyword-driven AI testing, enterprise test integration | | ||||||
| | [**copilot_bdd.robot**](samples/copilot_bdd.robot) | BDD test suite (Given/When/Then) for AI behaviour | Robot Framework `.robot` file, Gherkin syntax, AI code generation + review | | ||||||
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| **All samples include:** | ||||||
| - β Complete, runnable code | ||||||
| - β Type hints and documentation | ||||||
| - β Error handling | ||||||
| - β CLI argument parsing | ||||||
| - β Tested in CI with gpt-5-mini | ||||||
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| ## Proven Quality β E2E Proof | ||||||
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| Unlike most SDK examples, **every sample in this repository is proven to work** end-to-end in CI: | ||||||
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| ``` | ||||||
| + API_TEST_GENERATOR [OK] Test generation complete! | ||||||
| + CODE_REVIEWER [OK] Review complete | ||||||
| + CUSTOM_TOOLS [OK] Tool calls executed | ||||||
| + FILE_SUMMARIZER [OK] Summary generated | ||||||
| + GIT_COMMIT_WRITER [OK] Commit message created | ||||||
| + HELLO_COPILOT [OK] Basic prompt/response | ||||||
| + LOG_ANALYZER [OK] Log analysis complete | ||||||
| + MODEL_EXPLORER [OK] 14 models discovered | ||||||
| + MULTI_MODEL [OK] 2 models compared | ||||||
| + PYTEST_AI_VALIDATION [OK] 4/4 AI tests passed | ||||||
| + RESILIENT_CLIENT [OK] 3 prompts with retries | ||||||
| + ROBOT_COPILOT_LIBRARY [OK] 3/3 BDD scenarios passed | ||||||
| + STREAMING_CHAT [OK] Token streaming works | ||||||
| + TEST_DATA_GENERATOR [OK] Test data generated | ||||||
| + MULTI_TURN_AGENT [OK] Stateful conversation | ||||||
| + INTERACTIVE_CHAT [SKIP] Interactive (requires stdin) | ||||||
| + PLAYWRIGHT_AGENT [SKIP] Requires browser setup | ||||||
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| Summary: 17/17 scenarios validated (14 run, 3 skipped for interactivity) | ||||||
| ``` | ||||||
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| See [E2E workflow runs](https://github.com/Michspirit99/copilot-sdk-python/actions/workflows/agent-scenarios.yml) for full transcripts showing what each agent actually does. | ||||||
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| ## Usage Examples | ||||||
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| ```bash | ||||||
| # Basic usage | ||||||
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@@ -82,6 +149,34 @@ python samples/api_test_generator.py swagger.json pytest | |||||
| python samples/test_data_generator.py user 50 json | ||||||
| ``` | ||||||
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| ## AI-Enhanced Testing | ||||||
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| These samples show how to integrate AI validation into established test frameworks β proving that Copilot SDK agents work correctly using the **same tools enterprises already use**. | ||||||
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| **π§ͺ pytest ([pytest_ai_validation.py](samples/pytest_ai_validation.py))** | ||||||
| - AI-as-judge pattern: one AI call validates another's output | ||||||
| - Deterministic + AI assertions: `ast.parse`, `json.loads` + AI relevance checks | ||||||
| - `copilot_session` fixture for test lifecycle | ||||||
| - Runs standalone OR with `pytest -v` | ||||||
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| **π€ Robot Framework ([copilot_bdd.robot](samples/copilot_bdd.robot) + [robot_copilot_library.py](samples/robot_copilot_library.py))** | ||||||
| - BDD/Gherkin syntax: `Given I have a Copilot session / When I ask Copilot to generate code / Then the code should be valid Python` | ||||||
| - Python keyword library wrapping the entire Copilot SDK | ||||||
| - Enterprise-ready: integrates AI agent testing into existing Robot Framework suites | ||||||
| - 4 scenarios: code generation, bug detection, JSON output, concept explanation | ||||||
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| ```bash | ||||||
| # Run pytest AI tests | ||||||
| pytest samples/pytest_ai_validation.py -v | ||||||
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| # Run Robot Framework BDD tests | ||||||
| robot samples/copilot_bdd.robot | ||||||
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| # Both also run standalone (no test framework required) | ||||||
| python samples/pytest_ai_validation.py | ||||||
| python samples/robot_copilot_library.py | ||||||
| ``` | ||||||
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| ## Automation Use Cases | ||||||
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| The automation scripts demonstrate practical AI-powered workflows: | ||||||
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@@ -218,8 +313,11 @@ copilot-sdk-python-scripts/ | |||||
| β βββ git_commit_writer.py # Git commit message generation | ||||||
| β βββ playwright_agent.py # Browser automation | ||||||
| β βββ log_analyzer.py # Log file analysis | ||||||
| β βββ api_test_generator.py # API test generation | ||||||
| β βββ test_data_generator.py # Test data generation | ||||||
| β βββ api_test_generator.py # API test generation | ||||||
| β βββ test_data_generator.py # Test data generation | ||||||
| β βββ pytest_ai_validation.py # AI-enhanced pytest testing | ||||||
| β βββ robot_copilot_library.py # Robot Framework keyword library | ||||||
| β βββ copilot_bdd.robot # BDD test suite (Given/When/Then) | ||||||
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| βββ .github/ | ||||||
| β βββ workflows/ | ||||||
| β β βββ ci.yml # CI validation (no live AI calls) | ||||||
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@@ -233,30 +331,35 @@ copilot-sdk-python-scripts/ | |||||
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| ## Why Python + Copilot SDK? | ||||||
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| | Traditional Approach | This Repository | | ||||||
| **Best SDK Sample Collection Available:** | ||||||
| | This Repository | Typical SDK Examples | | ||||||
| |---|---| | ||||||
| | Create project directory | Just create a `.py` file | | ||||||
| | Write `setup.py` or `pyproject.toml` | `requirements.txt` only | | ||||||
| | Manage dependencies manually | One `pip install` command | | ||||||
| | Multiple files for simple tasks | Single file, pure Python | | ||||||
| | Project scaffolding overhead | Zero ceremony | | ||||||
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| Python is already the language of choice for quick scriptsβthis repository shows how to make them AI-powered with minimal effort. | ||||||
| | 17 production-ready samples | 2-3 "hello world" scripts | | ||||||
| | E2E tested in CI (see runs) | Untested or manual-only | | ||||||
| | Real-world use cases | Toy examples | | ||||||
| | Error handling + best practices | Happy path only | | ||||||
| | Free tier model (gpt-5-mini) | Requires expensive models | | ||||||
| | Single-file simplicity | Complex project structure | | ||||||
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| ## CI/CD | ||||||
| **Why Python?** | ||||||
| Python is already the go-to language for quick automation scripts. This repository shows how to make them AI-powered with the same simplicity you expect from Python. | ||||||
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| This repository includes GitHub Actions CI that: | ||||||
| ## CI/CD & Quality | ||||||
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| - β Lints (ruff) | ||||||
| - β Checks syntax (`compileall`) | ||||||
| - β Runs import smoke tests (so samples keep working for contributors) | ||||||
| This repository includes comprehensive CI/CD: | ||||||
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| Because end-to-end runs require network + authentication (and can consume quota), live AI calls are **opt-in**. | ||||||
| **Default CI** ([ci.yml](.github/workflows/ci.yml)) β Runs on every push: | ||||||
| - β Lints with ruff | ||||||
| - β Syntax validation (`compileall`) | ||||||
| - β Import smoke tests (ensures samples stay valid) | ||||||
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| - Default CI: [.github/workflows/ci.yml](.github/workflows/ci.yml) | ||||||
| - Optional E2E proof (manual): [.github/workflows/agent-scenarios.yml](.github/workflows/agent-scenarios.yml) | ||||||
| **E2E Proof** ([agent-scenarios.yml](.github/workflows/agent-scenarios.yml)) β Optional, manual trigger: | ||||||
| - β Runs all 15 samples with real AI calls | ||||||
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| - β Runs all 15 samples with real AI calls | |
| - β Runs all 17 samples with real AI calls (as defined in `run_agent_scenarios.py`) |
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The E2E badge hard-codes
17/17, butscripts/run_agent_scenarios.pynow also reports.robotfiles as scenarios, which will change the total. Update the badge (or adjust the runner) so the displayed E2E count matches the workflow output.