bitfab-py 0.29.2

Bitfab client for provider-based API calls with local BAML execution

Bitfab

Bitfab client for provider-based API calls.

Monorepo Structure

This package is part of the Harvest monorepo. While the TypeScript/JavaScript packages use a pnpm workspace for shared dependencies, this Python package uses Poetry for its dependency management.

Note: The pnpm workspace includes:

• bitfab-web - Next.js web application
• bitfab-typescript-sdk - TypeScript SDK
• bitfab-vscode - VS Code extension
• frontend - Legacy frontend

From the root directory, you can run TypeScript tests and validation across all packages with pnpm test or pnpm validate.

Installation

Basic Installation

pip install bitfab-py

With OpenAI Tracing Support

If you want to use the OpenAI Agents SDK tracing integration:

pip install bitfab-py[openai-tracing]

Local Development

For local development:

cd bitfab-python-sdk
poetry install --with dev

After installation, you can use developer tasks. For the best experience, add Poetry's venv to your PATH:

# Add to your ~/.zshrc or ~/.bashrc
export PATH="$(poetry env info --path)/bin:$PATH"

# Then you can use 'dev' directly (no ./run or poetry run needed!)
dev list
dev test

See Development Tasks below for all available commands.

Or install as an editable package from the parent directory:

poetry add --editable ../bitfab-python-sdk

Usage

Basic Usage

from bitfab import Bitfab

client = Bitfab(
    api_key="bf_your_api_key_here",
    service_url="https://bitfab.ai",  # Optional, defaults to production
    env_vars={"OPENAI_API_KEY": "sk-your-openai-key"},  # Optional, for local BAML execution
)

result = client.call("method_name", arg1="value1", arg2="value2")

OpenAI Agents SDK Tracing

If you have the openai-agents package installed (via pip install bitfab-py[openai-tracing]), you can use the tracing processor:

from bitfab import Bitfab
from agents import Agent, set_trace_processors

bitfab = Bitfab(api_key="bf_your_api_key_here")

# Register the processor once: it captures agent internals (LLM/tool/handoff spans).
set_trace_processors([bitfab.get_openai_tracing_processor()])

agent = Agent(name="my-agent", instructions="...")
# The run wrapper records a replayable root carrying the run input.
handler = bitfab.get_openai_agent_handler("my-agent")

# Swap Runner.run(agent, input) -> handler.wrap_run(agent, input)
result = await handler.wrap_run(agent, "user input here")

The processor alone records a root with no input, so a processor-only trace is not replayable; wrap_run (a drop-in for Runner.run) records the keyed, replayable root.

Note: If you try to use get_openai_tracing_processor() without installing the openai-tracing extra, you'll get a helpful error message telling you to install it.

Configuration

• api_key: Required - Your Bitfab API key (generate from your Bitfab dashboard)
• service_url: Optional - The Bitfab service URL (defaults to https://bitfab.ai)
• env_vars: Optional - Environment variables for LLM providers (e.g., {"OPENAI_API_KEY": "..."})
• enabled: Optional - Enable/disable tracing (defaults to True). When False, decorated functions still execute but no spans are sent.

Development Tasks

This project uses a Python-based developer tasks module (dev/) instead of Makefiles for better cross-platform support and more robust CLI capabilities.

Using Developer Tasks

After running poetry install --with dev, you can use developer tasks:

Quick Setup (One-time)

# Install dependencies (creates the 'dev' script in the venv)
poetry install --with dev

# Run this script to add to PATH for current session and get command to make it permanent
./setup-dev-path.sh

# Copy-paste the command it outputs, then reload your shell config:
source ~/.zshrc  # or ~/.bashrc

The setup-dev-path.sh script will:

• Add the venv bin to PATH for your current session
• Detect your shell (zsh/bash) and output a command you can copy-paste to make it permanent
• Skip if already configured

Using Developer Commands

Once PATH is set up, use commands directly - just like make <target>:

dev list              # List all available commands
dev test              # Run tests
dev test --verbose    # Run tests with verbose output
dev lint              # Lint code
dev format            # Format code
dev build             # Build package
dev publish patch      # Publish with version bump

How it works: When you define [tool.poetry.scripts] in pyproject.toml, Poetry creates executable scripts in the venv's bin/ directory. Adding that bin/ to PATH makes those scripts available as commands.

Key advantage: Just like Makefiles, it's super clear - dev <command> is as obvious as make <target>!

Module Structure

Each command is in its own file in the dev/ module:

• dev/test.py - Test commands
• dev/lint.py - Linting
• dev/build.py - Building
• dev/publish.py - Publishing
• etc.

This makes it easy to find and modify individual commands.

Publishing

This package uses bump-my-version for version management. To publish a new version:

# Use the dev command
dev publish patch          # Bump patch (0.3.0 -> 0.3.1)
dev publish minor          # Bump minor (0.3.0 -> 0.4.0)
dev publish major          # Bump major (0.3.0 -> 1.0.0)
dev publish version=1.2.3  # Custom version

# Or just bump version without publishing
dev bump patch
dev bump minor

The publish process will:

1. Run all tests
2. Bump the version in pyproject.toml
3. Commit and tag the changes
4. Build the package
5. Prompt for confirmation before publishing to PyPI

Note: Publishing requires:

• A clean git working directory (no uncommitted changes)
• Poetry installed and configured
• PyPI credentials configured (via poetry config pypi-token.pypi <token>)