Metadata-Version: 2.4
Name: open-data-sci
Version: 0.1.0
Summary: AI agent for data science and machine learning
Project-URL: Homepage, https://github.com/f4roukb/open-data-sci
Project-URL: Repository, https://github.com/f4roukb/open-data-sci
Project-URL: Documentation, https://open-data-sci.readthedocs.io
Project-URL: Bug Tracker, https://github.com/f4roukb/open-data-sci/issues
Author-email: Farouk Boukil <b4farouk@gmail.com>
License:                               Apache License
                                Version 2.0, January 2004
                             http://www.apache.org/licenses/
        
        TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
        
        1. Definitions.
        
           "License" shall mean the terms and conditions for use, reproduction,
           and distribution as defined by Sections 1 through 9 of this document.
        
           "Licensor" shall mean the copyright owner or entity authorized by
           the copyright owner that is granting the License.
        
           "Legal Entity" shall mean the union of the acting entity and all
           other entities that control, are controlled by, or are under common
           control with that entity. For the purposes of this definition,
           "control" means (i) the power, direct or indirect, to cause the
           direction or management of such entity, whether by contract or
           otherwise, or (ii) ownership of fifty percent (50%) or more of the
           outstanding shares, or (iii) beneficial ownership of such entity.
        
           "You" (or "Your") shall mean an individual or Legal Entity
           exercising permissions granted by this License.
        
           "Source" form shall mean the preferred form for making modifications,
           including but not limited to software source code, documentation
           source, and configuration files.
        
           "Object" form shall mean any form resulting from mechanical
           transformation or translation of a Source form, including but
           not limited to compiled object code, generated documentation,
           and conversions to other media types.
        
           "Work" shall mean the work of authorship, whether in Source or
           Object form, made available under the License, as indicated by a
           copyright notice that is included in or attached to the work
           (an example is provided in the Appendix below).
        
           "Derivative Works" shall mean any work, whether in Source or Object
           form, that is based on (or derived from) the Work and for which the
           editorial revisions, annotations, elaborations, or other modifications
           represent, as a whole, an original work of authorship. For the purposes
           of this License, Derivative Works shall not include works that remain
           separable from, or merely link (or bind by name) to the interfaces of,
           the Work and Derivative Works thereof.
        
           "Contribution" shall mean any work of authorship, including
           the original version of the Work and any modifications or additions
           to that Work or Derivative Works thereof, that is intentionally
           submitted to Licensor for inclusion in the Work by the copyright owner
           or by an individual or Legal Entity authorized to submit on behalf of
           the copyright owner. For the purposes of this definition, "submitted"
           means any form of electronic, verbal, or written communication sent
           to the Licensor or its representatives, including but not limited to
           communication on electronic mailing lists, source code control systems,
           and issue tracking systems that are managed by, or on behalf of, the
           Licensor for the purpose of discussing and improving the Work, but
           excluding communication that is conspicuously marked or otherwise
           designated in writing by the copyright owner as "Not a Contribution."
        
           "Contributor" shall mean Licensor and any individual or Legal Entity
           on behalf of whom a Contribution has been received by Licensor and
           subsequently incorporated within the Work.
        
        2. Grant of Copyright License. Subject to the terms and conditions of
           this License, each Contributor hereby grants to You a perpetual,
           worldwide, non-exclusive, no-charge, royalty-free, irrevocable
           copyright license to reproduce, prepare Derivative Works of,
           publicly display, publicly perform, sublicense, and distribute the
           Work and such Derivative Works in Source or Object form.
        
        3. Grant of Patent License. Subject to the terms and conditions of
           this License, each Contributor hereby grants to You a perpetual,
           worldwide, non-exclusive, no-charge, royalty-free, irrevocable
           (except as stated in this section) patent license to make, have made,
           use, offer to sell, sell, import, and otherwise transfer the Work,
           where such license applies only to those patent claims licensable
           by such Contributor that are necessarily infringed by their
           Contribution(s) alone or by combination of their Contribution(s)
           with the Work to which such Contribution(s) was submitted. If You
           institute patent litigation against any entity (including a
           cross-claim or counterclaim in a lawsuit) alleging that the Work
           or a Contribution incorporated within the Work constitutes direct
           or contributory patent infringement, then any patent licenses
           granted to You under this License for that Work shall terminate
           as of the date such litigation is filed.
        
        4. Redistribution. You may reproduce and distribute copies of the
           Work or Derivative Works thereof in any medium, with or without
           modifications, and in Source or Object form, provided that You
           meet the following conditions:
        
           (a) You must give any other recipients of the Work or
                 Derivative Works a copy of this License; and
        
           (b) You must cause any modified files to carry prominent notices
                 stating that You changed the files; and
        
           (c) You must retain, in the Source form of any Derivative Works
                 that You distribute, all copyright, patent, trademark, and
                 attribution notices from the Source form of the Work,
                 excluding those notices that do not pertain to any part of
                 the Derivative Works; and
        
           (d) If the Work includes a "NOTICE" text file as part of its
                 distribution, then any Derivative Works that You distribute must
                 include a readable copy of the attribution notices contained
                 within such NOTICE file, excluding those notices that do not
                 pertain to any part of the Derivative Works, in at least one
                 of the following places: within a NOTICE text file distributed
                 as part of the Derivative Works; within the Source form or
                 documentation, if provided along with the Derivative Works; or,
                 within a display generated by the Derivative Works, if and
                 wherever such third-party notices normally appear. The contents
                 of the NOTICE file are for informational purposes only and
                 do not modify the License. You may add Your own attribution
                 notices within Derivative Works that You distribute, alongside
                 or as an addendum to the NOTICE text from the Work, provided
                 that such additional attribution notices cannot be construed
                 as modifying the License.
        
           You may add Your own copyright statement to Your modifications and
           may provide additional or different license terms and conditions
           for use, reproduction, or distribution of Your modifications, or
           for any such Derivative Works as a whole, provided Your use,
           reproduction, and distribution of the Work otherwise complies with
           the conditions stated in this License.
        
        5. Submission of Contributions. Unless You explicitly state otherwise,
           any Contribution intentionally submitted for inclusion in the Work
           by You to the Licensor shall be under the terms and conditions of
           this License, without any additional terms or conditions.
           Notwithstanding the above, nothing herein shall supersede or modify
           the terms of any separate license agreement you may have executed
           with Licensor regarding such Contributions.
        
        6. Trademarks. This License does not grant permission to use the trade
           names, trademarks, service marks, or product names of the Licensor,
           except as required for reasonable and customary use in describing the
           origin of the Work and reproducing the content of the NOTICE file.
        
        7. Disclaimer of Warranty. Unless required by applicable law or
           agreed to in writing, Licensor provides the Work (and each
           Contributor provides its Contributions) on an "AS IS" BASIS,
           WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
           implied, including, without limitation, any warranties or conditions
           of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
           PARTICULAR PURPOSE. You are solely responsible for determining the
           appropriateness of using or redistributing the Work and assume any
           risks associated with Your exercise of permissions under this License.
        
        8. Limitation of Liability. In no event and under no legal theory,
           whether in tort (including negligence), contract, or otherwise,
           unless required by applicable law (such as deliberate and grossly
           negligent acts) or agreed to in writing, shall any Contributor be
           liable to You for damages, including any direct, indirect, special,
           incidental, or consequential damages of any character arising as a
           result of this License or out of the use or inability to use the
           Work (including but not limited to damages for loss of goodwill,
           work stoppage, computer failure or malfunction, or any and all
           other commercial damages or losses), even if such Contributor
           has been advised of the possibility of such damages.
        
        9. Accepting Warranty or Additional Liability. While redistributing
           the Work or Derivative Works thereof, You may choose to offer,
           and charge a fee for, acceptance of support, warranty, indemnity,
           or other liability obligations and/or rights consistent with this
           License. However, in accepting such obligations, You may act only
           on Your own behalf and on Your sole responsibility, not on behalf
           of any other Contributor, and only if You agree to indemnify,
           defend, and hold each Contributor harmless for any liability
           incurred by, or claims asserted against, such Contributor by reason
           of your accepting any such warranty or additional liability.
        
        END OF TERMS AND CONDITIONS
        
        APPENDIX: How to apply the Apache License to your work.
        
           To apply the Apache License to your work, attach the following
           boilerplate notice, with the fields enclosed by brackets "[]"
           replaced with your own identifying information. (Don't include
           the brackets!)  The text should be enclosed in the appropriate
           comment syntax for the file format. We also recommend that a
           file or class name and description of purpose be included on the
           same "printed page" as the copyright notice for easier
           identification within third-party archives.
        
        Copyright [2026] Farouk Boukil
         
        Licensed under the Apache License, Version 2.0 (the "License");
        you may not use this file except in compliance with the License.
        You may obtain a copy of the License at
        
              http://www.apache.org/licenses/LICENSE-2.0
        
        Unless required by applicable law or agreed to in writing, software
        distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        See the License for the specific language governing permissions and
        limitations under the License.
License-File: LICENSE
Keywords: agent,ai,analytics,data-science,machine-learning
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <3.13,>=3.12
Requires-Dist: catboost<2.0.0,>=1.2.0
Requires-Dist: category-encoders<3.0.0,>=2.6.0
Requires-Dist: connectorx<1.0.0,>=0.3.0
Requires-Dist: duckduckgo-search<7.0.0,>=6.0.0
Requires-Dist: httpx<1.0.0,>=0.27.0
Requires-Dist: imbalanced-learn<1.0.0,>=0.12.0
Requires-Dist: langchain-anthropic<1.0.0,>=0.2.0
Requires-Dist: langchain-core<1.0.0,>=0.3.0
Requires-Dist: langchain-openai<1.0.0,>=0.2.0
Requires-Dist: langgraph<1.0.0,>=0.2.0
Requires-Dist: lightgbm<5.0.0,>=4.0.0
Requires-Dist: lxml<7.0.0,>=6.1.0
Requires-Dist: matplotlib<4.0.0,>=3.7.0
Requires-Dist: networkx<4.0.0,>=3.0.0
Requires-Dist: numpy<2.0.0,>=1.26.0
Requires-Dist: optuna<4.0.0,>=3.6.0
Requires-Dist: pandas[excel,feather,parquet]<3.0.0,>=2.0.0
Requires-Dist: plotly<6.0.0,>=5.15.0
Requires-Dist: polars[calamine]<2.0.0,>=1.0.0
Requires-Dist: prophet<2.0.0,>=1.1.0
Requires-Dist: pydantic-settings<3.0.0,>=2.0.0
Requires-Dist: pydantic<3.0.0,>=2.0.0
Requires-Dist: pyod<3.0.0,>=2.0.0
Requires-Dist: python-dotenv<2.0.0,>=1.0.0
Requires-Dist: pyyaml<7.0,>=6.0
Requires-Dist: rich<14.0.0,>=13.0.0
Requires-Dist: sandbox-runtime<1.0.0,>=0.2.0
Requires-Dist: scikit-learn<2.0.0,>=1.5.0
Requires-Dist: scipy<2.0.0,>=1.14.0
Requires-Dist: seaborn<1.0.0,>=0.12.0
Requires-Dist: shap<1.0.0,>=0.46.0
Requires-Dist: statsmodels<1.0.0,>=0.14.0
Requires-Dist: textual<0.48.0,>=0.47.0
Requires-Dist: umap-learn<1.0.0,>=0.5.0
Requires-Dist: xgboost<3.0.0,>=2.0.0
Requires-Dist: xxhash<4.0.0,>=3.5.0
Provides-Extra: aws
Requires-Dist: boto3<2.0.0,>=1.34.0; extra == 'aws'
Requires-Dist: langchain-aws<1.0.0,>=0.2.0; extra == 'aws'
Provides-Extra: azure
Requires-Dist: azure-identity<2.0.0,>=1.15.0; extra == 'azure'
Provides-Extra: dev
Requires-Dist: kaggle<2.0.0,>=1.6.0; extra == 'dev'
Requires-Dist: mypy<2.0.0,>=1.13.0; extra == 'dev'
Requires-Dist: pandas-stubs<3.0.0,>=2.0.0; extra == 'dev'
Requires-Dist: pytest-asyncio<1.0.0,>=0.23.0; extra == 'dev'
Requires-Dist: pytest-cov<5.0.0,>=4.0.0; extra == 'dev'
Requires-Dist: pytest-xdist<4.0.0,>=3.0.0; extra == 'dev'
Requires-Dist: pytest<8.0.0,>=7.0.0; extra == 'dev'
Requires-Dist: ruff<1.0.0,>=0.8.0; extra == 'dev'
Requires-Dist: types-openpyxl<4.0.0,>=3.1.0; extra == 'dev'
Requires-Dist: vulture<3.0.0,>=2.0.0; extra == 'dev'
Provides-Extra: docs
Requires-Dist: mkdocs-material<10.0.0,>=9.5.0; extra == 'docs'
Requires-Dist: mkdocs<2.0.0,>=1.6.0; extra == 'docs'
Requires-Dist: mkdocstrings[python]<1.0.0,>=0.26.0; extra == 'docs'
Provides-Extra: gcp
Requires-Dist: langchain-google-vertexai<3.0.0,>=2.0.0; extra == 'gcp'
Provides-Extra: gemini
Requires-Dist: langchain-google-genai<3.0.0,>=2.0.0; extra == 'gemini'
Provides-Extra: jax
Requires-Dist: flax<1.0.0,>=0.8.0; extra == 'jax'
Requires-Dist: jax[cpu]<1.0.0,>=0.4.0; extra == 'jax'
Requires-Dist: optax<1.0.0,>=0.2.0; extra == 'jax'
Provides-Extra: ollama
Requires-Dist: langchain-ollama<1.0.0,>=0.2.0; extra == 'ollama'
Description-Content-Type: text/markdown

# OpenDataSci

A production-grade AI agent for data science and machine learning. See the [project README](../../README.md) for an overview, benchmark results, and feature descriptions.

## Contents

- [Installation](#installation)
- [Quick Start](#quick-start)
- [TUI Reference](#tui-reference)
- [Slash Commands](#slash-commands)
- [File Attachments](#file-attachments)
- [Key Bindings](#key-bindings)
- [Themes](#themes)
- [Python SDK](#python-sdk)
- [Models](#models)
- [Configuration](#configuration)
- [Environment Variables](#environment-variables)

---

## Installation

```bash
pip install open-data-sci
```

**Requirements:**
- Python: 3.12
- Platform: macOS or Linux (Windows is not supported)

### System dependencies

The sandbox that runs model-generated code shells out to native binaries that `pip` cannot install. Install them with your OS package manager before using the agent:

```bash
# macOS
brew install ripgrep

# Linux (Debian/Ubuntu)
sudo apt-get install -y bubblewrap socat ripgrep

# Linux (Fedora)
sudo dnf install -y bubblewrap socat ripgrep

# Linux (Arch)
sudo pacman -S --noconfirm bubblewrap socat ripgrep
```

If you've cloned the repository, `make install-system-dependencies` runs the right command for your platform automatically.

### Provider extras

Install optional extras to unlock additional LLM providers:

```bash
pip install "open-data-sci[aws]"       # AWS Bedrock
pip install "open-data-sci[gemini]"    # Google Gemini (AI Studio)
pip install "open-data-sci[gcp]"       # Google Vertex AI
pip install "open-data-sci[azure]"     # Azure OpenAI
pip install "open-data-sci[ollama]"    # Ollama (local models)
```

### Capability extras

```bash
pip install "open-data-sci[jax]"       # Deep learning — JAX, Flax, Optax
```

The `[jax]` extra is required to use the **Deep Learning** skill. Without it, the agent's sandboxed Python environment has no training framework available.

Multiple extras can be combined:

```bash
pip install "open-data-sci[aws,gemini,jax]"
```

---

## Quick Start

### Basic setup

Set your API key and point OpenDataSci at your data:

```bash
export ANTHROPIC_API_KEY=sk-ant-...
opendatasci data.csv
```

A `.env` file in the working directory is loaded automatically, so you can also place it there:

```bash
# .env
ANTHROPIC_API_KEY=sk-ant-...
```

To use a different provider, pass `--provider`:

```bash
opendatasci data.csv --provider openai --api-key sk-...
opendatasci data.csv --provider ollama --model llama3.2:3b   # local, no key needed
```

### Setup with a config file

For a reusable configuration across projects, create a YAML file and pass it with `--config`. TUI flags always take precedence over values in the file.

```yaml
# datasci.yaml
provider: anthropic
model: claude-sonnet-4-6
secondary_provider: openai
secondary_model: gpt-4o-mini
temperature: 0.1
thinking_budget: 8000
```

```bash
opendatasci data.csv --config datasci.yaml
```

Annotated config files for every supported provider are available in [`examples/configs/`](examples/configs/).

### Python SDK

```python
from opendatasci import create_agent

async with create_agent("data.csv") as agent:
    async for event in agent.astream("Summarise this dataset and train a model on the target column."):
        print(event)
```

### More examples

The [`examples/`](examples/README.md) directory covers TUI walkthroughs, batch scripts, Jupyter notebooks, and annotated config files across every supported provider.

---

## TUI Reference

```
opendatasci PATH [OPTIONS]
```

### Arguments

| Argument | Description |
|----------|-------------|
| `PATH` | Data file or directory to load into the workspace |

### Options

| Flag | Default | Description |
|------|---------|-------------|
| `--provider` | `anthropic` | LLM provider for the primary model. Choices: `anthropic`, `openai`, `bedrock`, `gemini`, `vertexai`, `azure`, `ollama`, `openai_compatible_server` |
| `--model` | *(provider default)* | Primary model name — provider-specific identifier. Omit to use the provider's default (see [Models](#models)) |
| `--secondary-provider` | *(same as `--provider`)* | Provider for the secondary (auxiliary) model — may differ from `--provider` |
| `--secondary-model` | *(provider default)* | Secondary model name for lightweight tasks (summarisation, etc.) |
| `--api-key` | *(env var)* | API key for the primary provider. Falls back to the standard env var for the selected provider |
| `--theme` | `default` | Colour palette. Choices: `default`, `accessible`, `light`, `solarized`, `dracula`. Run `/themes` inside the TUI for descriptions |
| `--debug` | `false` | Enable debug output — writes a detailed `opendatasci_debug.log` |
| `--config` | *(none)* | Path to a YAML file containing `OpenDataSciConfig` fields; explicit TUI flags take precedence |
| `--list-providers` | | Print all supported providers and their default models, then exit |
| `--version` | | Print the installed version, then exit |

### Examples

```bash
# Minimal — analyse a single file with the default Anthropic provider
opendatasci data.xlsx

# Switch provider and primary model
opendatasci data.csv --provider openai --model gpt-4o

# Bedrock with a region
REGION=us-west-2 opendatasci ./project/ --provider bedrock

# Colour-blind safe theme
opendatasci data.parquet --theme accessible

# Mix providers — heavy model on one, lightweight secondary on another
opendatasci data.csv --provider anthropic --secondary-provider openai --secondary-model gpt-5.4-mini

# See all available providers
opendatasci --list-providers
```

---

## Slash Commands

Type `/` in the input box to trigger autocomplete. All commands are available at any time.

| Command | Description |
|---------|-------------|
| `/clear` | Clear conversation context (preserves session variables and loaded data) |
| `/compact` | Summarise and compress conversation history to free up context |
| `/help` | Show all available commands |
| `/ls-workspace` | List all files currently in the workspace |
| `/models` | Show the primary and secondary model in use |
| `/reset` | Reset the agent session and reload data from disk |
| `/stop` | Stop the currently running agent turn (future messages resume from where it left off) |
| `/themes` | List available colour themes with descriptions |
| `/exit` | Quit OpenDataSci |

---

## File Attachments

Attach files or code snippets to any message using the `@` prefix:

```
@path/to/file.py                      # attach an entire file
@path/to/notebook.ipynb:L10-L40      # attach a specific line range
```

The agent sees the attached content as structured context inline with your message. Paths are resolved relative to your current working directory.

---

## Key Bindings

| Key | Action |
|-----|--------|
| `Ctrl+C` (×2) | Quit |
| `Ctrl+D` | Quit |
| `Ctrl+R` | Reset session |
| `Ctrl+L` | Clear conversation |
| `Escape` | Focus input box |
| `Tab` / `Shift+Tab` | Cycle through autocomplete suggestions |
| `↑` / `↓` | Navigate input history or autocomplete |

---

## Themes

Select a theme at launch with `--theme`. Run `/themes` inside the TUI to see descriptions.

| Name | Description |
|------|-------------|
| `default` | Dark background with muted accents (built-in default) |
| `accessible` | Okabe-Ito palette — colour-blind safe |
| `light` | Light background with dark text |
| `solarized` | Solarized Dark by Ethan Schoonover |
| `dracula` | Dracula — vivid pastels on near-black |

---

## Python SDK

The async-first Python API gives full programmatic control over the agent.

### Basic usage

```python
from opendatasci import create_agent

async with create_agent("sales.xlsx") as agent:
    async for event in agent.astream("What is the average revenue by region?"):
        print(event)
```

### Custom provider and model

```python
from opendatasci import OpenDataSciConfig, create_agent

config = OpenDataSciConfig(
    provider="openai",
    model="gpt-4o",
    openai_api_key="sk-...",
    temperature=0.2,
)

async with create_agent("data.parquet", config=config) as agent:
    async for event in agent.astream("Train a gradient boosting model on the target column."):
        print(event)
```

### `OpenDataSciConfig` reference

| Field | Description |
|-------|-------------|
| `provider` | LLM provider (`"anthropic"`, `"openai"`, `"bedrock"`, `"gemini"`, `"vertexai"`, `"azure"`, `"ollama"`, `"openai_compatible_server"`) |
| `model` | Primary model identifier — omit to use the provider default |
| `secondary_provider` | Provider for the lightweight secondary model — defaults to the primary provider |
| `secondary_model` | Secondary model identifier — omit to use the provider default |
| `anthropic_api_key` | Anthropic API key (env: `ANTHROPIC_API_KEY`) |
| `openai_api_key` | OpenAI / OpenAI-compatible server API key (env: `OPENAI_API_KEY`) |
| `google_api_key` | Google Gemini API key (env: `GOOGLE_API_KEY`) |
| `azure_api_key` | Azure OpenAI API key (env: `AZURE_OPENAI_API_KEY`) |
| `aws_region` | AWS region for Bedrock (env: `REGION`) |
| `google_cloud_project` | GCP project ID for Vertex AI (env: `GOOGLE_CLOUD_PROJECT`) |
| `google_cloud_location` | Vertex AI region (env: `GOOGLE_CLOUD_LOCATION`) |
| `azure_endpoint` | Azure OpenAI resource endpoint URL (env: `AZURE_OPENAI_ENDPOINT`) |
| `llm_server_base_url` | Custom API base URL — required for `ollama` and `openai_compatible_server` (env: `LLM_SERVER_BASE_URL`) |

---

## Models

OpenDataSci supports every major LLM provider. Pass `--provider` to the TUI or set it in `OpenDataSciConfig`.

| Provider | Flag | Extra required | Default model |
|----------|------|----------------|---------------|
| Anthropic | `anthropic` | *(none — default)* | `claude-sonnet-4-6` |
| OpenAI | `openai` | *(none)* | `gpt-5.5` |
| OpenAI-compatible server (e.g. vLLM) | `openai_compatible_server` | *(none)* | `meta-llama/Llama-3.2-3B-Instruct` |
| AWS Bedrock | `bedrock` | `open-data-sci[aws]` | `us.anthropic.claude-sonnet-4-6` |
| Google Gemini | `gemini` | `open-data-sci[gemini]` | `gemini-2.5-pro` |
| Google Vertex AI | `vertexai` | `open-data-sci[gcp]` | `gemini-2.5-pro` |
| Azure OpenAI | `azure` | `open-data-sci[azure]` | `gpt-4o` |
| Ollama | `ollama` | `open-data-sci[ollama]` | `llama3.2:3b` |

Pass `--list-providers` to print this table from the TUI at any time.

---

## Configuration

### Workspace files

Place these files inside your workspace's `.opendatasci/` directory:

| Path | Purpose |
|------|---------|
| `.opendatasci/mcp.json` | MCP server URLs — connects the agent to external tool servers |
| `.opendatasci/plans/` | Persisted plan files — auto-managed, one file per planning session |

### Environment variables

| Variable | Description |
|----------|-------------|
| `ANTHROPIC_API_KEY` | API key for the Anthropic provider |
| `OPENAI_API_KEY` | API key for the OpenAI provider |
| `REGION` | Cloud provider region |
| `LLM_SERVER_BASE_URL` | Custom API base URL — used by `ollama` and `openai_compatible_server` providers |
| `SKILLS_DIRECTORY` | Path to a directory of user-defined skill files (overrides none by default) |
| `BUILTIN_SKILLS_DIRECTORY` | Path to the built-in skills directory (defaults to the bundled `resources/skills`) |
| `CODE_EXEC_TIMEOUT` | Max seconds for a single sandboxed code execution (default: `1800`) |

A `.env` file in the working directory is loaded automatically at startup.
