๐ง GPT-5.5 Advanced FeaturesApril 24, 2026โ
Tests passing
GPT Dynamic Toolchain Builder
This library helps AI developers dynamically create and test GPT-5.5-compatible toolchains. Users can define custom tools via JSON specifications, which are automatically integrated and executed. It simplifies prototyping and testing workflows for tools using GPT-5.5.
What It Does
- Dynamic Toolchain Creation: Define custom tools and workflows using JSON specifications.
- Seamless GPT-5.5 Integration: Easily integrate with GPT-5.5 for executing workflows.
- Simulation and Debug Mode: Built-in simulation for testing toolchains without actual API calls.
Installation
1. Clone the repository:
git clone <repository_url>
cd gpt_dynamic_toolchain2. Install the required dependencies:
pip install -r requirements.txtUsage
1. Create a JSON file (e.g., toolchain.json) defining your tools and workflow. Example:
{
"tools": [
{
"name": "tool1",
"description": "A test tool",
"parameters": {
"param1": "value1"
}
}
],
"workflow": [
{
"tool": "tool1",
"input": {
"param1": "value1"
}
}
]
}2. Run the tool:
python -m gpt_dynamic_toolchain --config toolchain.json3. View the output:
{
"outputs": [
{
"tool": "tool1",
"output": {
"simulated_output": "Executed tool1 with input {'param1': 'value1'}"
}
}
]
}Source Code
import json
import argparse
from jsonschema import validate, ValidationError
import openai
def validate_toolchain_schema(toolchain):
"""Validate the toolchain JSON against a predefined schema."""
schema = {
"type": "object",
"properties": {
"tools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {"type": "string"},
"description": {"type": "string"},
"parameters": {"type": "object"}
},
"required": ["name", "description", "parameters"]
}
},
"workflow": {
"type": "array",
"items": {
"type": "object",
"properties": {
"tool": {"type": "string"},
"input": {"type": "object"}
},
"required": ["tool", "input"]
}
}
},
"required": ["tools", "workflow"]
}
validate(instance=toolchain, schema=schema)
def execute_toolchain(toolchain):
"""Execute the toolchain workflow and return the outputs."""
tool_registry = {tool['name']: tool for tool in toolchain['tools']}
outputs = []
for step in toolchain['workflow']:
tool_name = step['tool']
input_data = step['input']
if tool_name not in tool_registry:
raise ValueError(f"Tool '{tool_name}' not found in the registry.")
tool = tool_registry[tool_name]
output = simulate_tool_execution(tool, input_data)
outputs.append({"tool": tool_name, "output": output})
return outputs
def simulate_tool_execution(tool, input_data):
"""Simulate the execution of a tool. Replace this with actual GPT-5.5 API calls."""
# Placeholder for GPT-5.5 API integration
return {"simulated_output": f"Executed {tool['name']} with input {input_data}"}
def main():
parser = argparse.ArgumentParser(description="GPT Dynamic Toolchain Builder")
parser.add_argument("--config", type=str, required=True, help="Path to the toolchain JSON configuration file.")
args = parser.parse_args()
try:
with open(args.config, "r") as file:
toolchain = json.load(file)
validate_toolchain_schema(toolchain)
outputs = execute_toolchain(toolchain)
print(json.dumps({"outputs": outputs}, indent=4))
except FileNotFoundError:
print(f"Error: Configuration file '{args.config}' not found.")
except json.JSONDecodeError:
print("Error: Invalid JSON format in the configuration file.")
except ValidationError as e:
print(f"Error: Toolchain configuration validation failed. {e.message}")
except Exception as e:
print(f"Error: {str(e)}")
if __name__ == "__main__":
main()Community
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Details
- Tool Name
- gpt_dynamic_toolchain
- Category
- GPT-5.5 Advanced Features
- Generated
- April 24, 2026
- Tests
- Passing โ
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-04-24/gpt_dynamic_toolchain cd generated_tools/2026-04-24/gpt_dynamic_toolchain pip install -r requirements.txt 2>/dev/null || true python gpt_dynamic_toolchain.py