AI Agents
Provide your AI agent with a goal, the context it needs and access to the right tools so that instead of scripting every decision, the agent can determine what to do next while staying inside the workflow you define.
AI Agents
Provide your AI agent with a goal, the context it needs and access to the right tools so that instead of scripting every decision, the agent can determine what to do next while staying inside the workflow you define.
Build agents with the right context and controls
Agents can use models, memory, knowledge retrieval, tools and guardrails to handle more complex processes while keeping each part configurable.
Pause a run and ask for input instead of guessing.
Delegate a complex task to a specialized sub-agent.
Keep useful facts available across conversations.
Give agents reusable knowledge and capabilities.
Give AI enough freedom to be useful without giving up control. Keep people involved when decisions matter, ground responses in your own knowledge and let agents take on more complex goals when you're ready.
Keep humans in the loop
Human-in-the-loop steps let you pause a workflow, ask for approval or collect missing information before execution continues.
AI Agents can also use these same steps as tools, so an agent can ask for human confirmation before taking an action that needs a person in the loop.
Pause before taking sensitive actions.
Ask for missing information.
Keep humans in the loop
Human-in-the-loop steps let you pause a workflow, ask for approval or collect missing information before execution continues.
AI Agents can also use these same steps as tools, so an agent can ask for human confirmation before taking an action that needs a person in the loop.
Pause before taking sensitive actions.
Ask for missing information.
Ground AI in your knowledge
Connect your documents and make relevant business knowledge available to workflows and AI Agents when they need it.
Instead of relying on the model's knowledge alone, agents can retrieve relevant information from your own content.
Ground AI in your knowledge
Connect your documents and make relevant business knowledge available to workflows and AI Agents when they need it.
Instead of relying on the model's knowledge alone, agents can retrieve relevant information from your own content.
Combine AI Agents with flow controls to build common agentic patterns yourself today, from simple chains to parallel and orchestrated multi-agent workflows using patterns like:
Test your agent before you trust it
Test your agent before you trust it
How AI Agents work in ByteChef
Explore how ByteChef combines models, tools, memory, knowledge and guardrails to build AI-powered workflows.
Bring Your Own LLM
Use the AI providers and models you already trust. Connect providers such as OpenAI, Anthropic, Azure or Mistral and choose the model that fits each workflow.
Configure AI providers your way
ENTERPRISE EDITIONEnterprise adds a self-service AI Providers catalog where admins can activate providers and manage their credentials for each environment. Community Edition deployments can configure providers through environment variables and configuration properties instead.
Use AI across your workflows
Use different models for different tasks without rebuilding your workflows. ByteChef's universal AI components support text and image use cases across supported providers.
AI Security & Governance
AI should be powerful without becoming a blind spot. ByteChef lets you place guardrails around AI and check incoming requests and outgoing responses before they continue.
Configure guardrails for your use case - block harmful prompts before they reach the AI and redact sensitive data before it reaches your users.
Fail safely, not silently
Guardrails are designed to fail closed: if a safety check cannot run, the request is blocked rather than passed through without protection.
Fail safely, not silently
Guardrails are designed to fail closed: if a safety check cannot run, the request is blocked rather than passed through without protection.
See what was blocked
Blocked requests and guardrail failures are logged so your team can understand what happened and investigate when needed.
See what was blocked
Blocked requests and guardrail failures are logged so your team can understand what happened and investigate when needed.
Human in the Loop
Not every decision should be fully automated. ByteChef allows workflows to pause and wait for human review or approval before continuing execution - routing the request to Slack, email or another channel and resuming automatically once a decision is made.
This gives organizations the flexibility to automate routine work while keeping people involved in high-value, high-impact or sensitive business decisions.
Route spend or budget decisions for approval before they continue.
Review AI-generated content before it is sent or published.
Pause onboarding workflows when manual verification is required.
Require human review before sensitive records are changed.
Approval steps can be placed where a workflow needs a human decision, allowing reviewers to approve, reject or provide information before execution continues.
Start with an AI workflow
Explore ready-to-use AI workflows and adapt them to your own processes instead of starting from scratch.
Explore AI templatesDon't miss what comes next
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