The SeekrFlow Agents API is a powerful tool for building agentic AI applications. It can be used to design autonomous agents with access to advanced tools and models—unlocking your ability to develop sophisticated virtual advisors, personalized learning companions, predictive maintenance systems, and intelligent workflow automations tailored to your unique needs.

What are agents?

Agents are designed to operate independently: perceiving their environment, making decisions, and taking actions based on the goals set by you, the user. Unlike simple chatbots or search engines, which primarily respond to user input, agents can recall previous interactions, adapt their approach based on available information, and perform complex tasks that might otherwise require human intervention.

Agents are characterized by their:

Environment: This is defined by the use case; e.g., a CRM system for sales analytics, or a corporate knowledge base for employee onboarding.

Available toolkit: The agent's capabilities expand based on the specific tools and functions it can access.

Tools are what allow agents to interact with the outside world. They fall into three categories:

1. Knowledge augmentation: Context construction, Internet search, vector search, SQL queries.
2. Capability extension: Calculators, code interpreters, computer-using agents that interact with digital environments like a human.
3. Action-taking: Chatbots that can perform tasks (resetting passwords, processing refunds); autonomous vehicles. These can set their own goals and interact with the physical world, which makes them the most powerful (and potentially most dangerous) of these categories.

Currently, the Agents API supports the following tools:

• FileSearch: A knowledge augmentation tool that processes and searches files.

The SeekrFlow agent advantage

Seekr's API delivers a fully hosted infrastructure and unified framework, letting you fine-tune, deploy, and run advanced models—all within your own secure environment. Unlike other frameworks, which require stitching together multiple third-party services and external dependencies, Seekr keeps your data and completions ringfenced, supporting air-gapped and on-premise deployments for maximum control and compliance.

Users have the ability to create and plug in custom fine-tuned or RAG models within our agentic framework, using dedicated endpoints. Seekr is purpose-built for extensibility and enterprise needs, giving you a robust, secure base to grow with.

API-powered context management and continuity

Our API uses threads and messages for context management and efficiency. Threads are containers that automatically store conversation history in the form of messages, or individual interactions.

Example message:

"messages": [ 

    {"role": "user", "content": "How do I reset my password?"}, 

    {"role": "assistant", "content": "To reset your password, go to the account settings and click on 'Reset Password'."} 

] 

Threads persist across sessions, allowing you to return to ongoing discussions without losing context. Threads are scalable to large numbers of users, while retaining context for individual users.

Vector databases for document structuring and knowledge retrieval

Vector databases power fast, accurate semantic search by storing and indexing high-dimensional vector embeddings, which capture the meaning and context of files, rather than just keywords.

After you create a vector database and add documents to it, a four-step process is initiated:

1. Conversion: Documents are converted into plain text
2. Chunking: The text is split into smaller, semantically meaningful segments (512-1024 tokens)
3. Embedding: Each segment is converted into high-dimensional vector embeddings
4. Indexing: Embeddings are organized into an index for high-efficiency similarity searches