Custom AI Agent SDK Development Services
Every agent a team ships by hand becomes one more system only the original vendor can touch. Kodexo Labs builds custom AI agent SDK development services that give your engineers one toolkit for tool-calling, multi-model support, and guardrails. That toolkit replaces the one-off build that stalls the moment a requirement changes.
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TRUSTED BY ENTERPRISES
Part of our AI Frameworks and Platform Integration practice, this is where we build the SDK layer your team runs on. It is not just an agent that happens to work once.
Core capabilities
Agent architecture and orchestration your own engineers can read and extend
Tool and function calling wired to your internal APIs, not brittle one-off scripts
Multi-model support across Anthropic, OpenAI, and Google, without a rewrite
Guardrails and approval gates built into the SDK layer, not bolted on after
Observability and evaluation, so a bad answer takes minutes to trace, not days
Documentation and handover, so your team owns the system, not just a demo
IN THE NEWS
AI-powered products across 25+ industries
Top-Rated AI Development Company
Client retention rate across the portfolio
In 2021, Agile sprints with weekly client demos
Custom AI Agent SDK Development Capabilities
Every custom AI agent SDK answers one question. Can your own engineering team build, extend, and ship agents on it, without calling us for every new use case? We architect for that independence from day one.
Agent Architecture & Orchestration
We design the graph, the state store, and the routing rules first, so a multi-agent system holds context instead of ever losing it.
We map every node and edge first, so branching logic stays simple to trace.
A lead agent hands each task to the specialist worker built to handle it.
Still Wiring Every Tool Call by Hand?
Every custom tool your team bolts on by hand is one more thing that breaks silently in production. Tell us your stack, and we will map the SDK layer that ends that.
Validated on Real Production Traffic
Extensiv
Extensiv's operations team once queued behind engineering for every data question, and decisions stalled for days waiting on a report. We built an agent SDK on LangGraph that reads plain-English questions and answers them straight from the live operational database. The team now self-serves at 90%+ accuracy across 207 tables and 4 databases. An Inc. 5000 company, backed by Hg Capital.
207
Tables
4
Databases
90%+
Accuracy
Diesel Laptops
Fleet technicians were losing hours to manual searches across more than 160,000 repair records, and that proprietary data could never leave their own infrastructure. We built a custom retrieval tool inside their agent SDK, hosted entirely within their own AWS VPC. Lookup time dropped 85%, and this Inc. 5000 company kept full custody of every record.
160,000+
Records
85%
Faster Lookups
Inc. 5000
Recognition
SmartMedHx
Medical documentation was eating hours doctors should have spent with patients. Any AI layer had to be compliant from day one, not retrofitted after launch. We built the access controls, audit trails, and approval gates directly into the agent SDK before a single provider used it. Today, 42 healthcare providers run 493 AI-powered interviews on patent-pending, HIPAA-compliant architecture.
42
Providers
493
Interviews
HIPAA
Compliant
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- HIPAA-compliant guardrailsPatient-record tool callsClinical intake agentsAudit-trail observability
Where Custom Agent SDKs Prove Their Value
The risk a custom agent SDK must retire changes by industry. A HIPAA gap is not a latency gap, and a lease clause is not a warehouse query. We scope every SDK against the risk that matters most for that vertical.
Thinking About Building Your Own Agent SDK?
You have agents that work, mostly, until someone asks for a new tool or a different model. Tell us what is brittle, and we will scope the SDK layer that fixes it.
Compliance Built Into the SDK Layer From Day One
A guardrail added after launch is a guardrail your compliance team never actually tested before real users hit it. We build access controls, audit trails, and approval gates into every SDK before it reaches production, so the frameworks below are proven, not promised.
HIPAA
GDPR
SOC 2
ISO 27001
PCI-DSS
CCPA
COPPA
AWS Well-Architected
ISO 42001
FERPA
HIPAA
GDPR
SOC 2
ISO 27001
PCI-DSS
CCPA
COPPA
AWS Well-Architected
ISO 42001
FERPA
Why Teams Choose Kodexo Labs to Build Their Custom Agent SDK
Plenty of vendors can wire up one agent that works in a demo. Fewer can hand your engineers a toolkit they can safely extend a year later. Here is what separates a Kodexo Labs agent SDK from a one-off build.
Swap Models Without Rewriting
Most agent code hardcodes one model, so switching it means a rewrite. We split the model call from the logic, the LangGraph pattern behind Extensiv, whose team queries 207 tables at 90%+ accuracy.
Tool Integration That Survives
A demo that calls three tools is easy. Thirty, safely, inside your own cloud is not. For Diesel Laptops, we built retrieval inside their AWS VPC, cutting lookup time 85% across 160,000+ records.
Guardrails Built Before Audits
Bolt on rules late and the first audit fails. We build access limits, audit logs, and approval gates into the SDK layer, not on top. SmartMedHx ran 493 HIPAA-compliant interviews for 42 providers.
Every Agent Run Measured
An agent that cannot explain a bad answer will fail the same way twice. We instrument every SDK with tracing and evaluation from day one, scoring each run against criteria your team defined.
Have Agents That Work, Until They Don't?
The hardest part is rarely the first agent. It is the fifth tool, the second model, or the guardrail nobody wrote down. Bring us what is breaking.
Recognition Buyers Check Before They Sign
Third-party platforms, not our own claims, are what buyers verify first. Kodexo Labs holds top-rated status on Clutch and ranks in the top 1% on Upwork.
Overcoming Custom Agent SDK Development Challenges
Most custom agent SDKs do not fail on the first release. They fail on the second change, the second model, or the first production incident nobody can trace. These are the four failure modes we design against.
Every tool listed is in active production on a Kodexo Labs.
Every framework, runtime, and cloud service named here is running on a live client product right now. No theoretical stack, no resume keywords, no tools added for marketing weight.
Custom AI Agent SDK Development Services: How We Build
Five phases take an SDK from a scoping conversation to a system your own team runs, with a working demo every single week.
Discovery & Architecture Mapping
We map your current tools, data sources, and the agents you actually need first, then lock the architecture family: single-agent, multi-agent, or a hybrid graph.
Framework & Model Selection
We choose the orchestration framework, typically LangGraph for stateful designs, and the model providers your SDK will support from day one, with your sign-off.
SDK Build & Tool Integration
Engineers wire each tool, wrap each internal API once, and build the guardrail layer, with a working demo every Friday so you can steer early.
Guardrail Testing & Evaluation
We test every tool call, every model swap, and every approval gate against real inputs. Then we score the SDK against the criteria set in Phase 1.
Handover & Team Enablement
We document every node, tool, and guardrail, then train your engineers to extend the SDK, add new agents, and read the traces without us.
Related Insights
What Belongs in a Custom AI Agent SDK?
September 2025 · By Kodexo Labs
the components that separate a real toolkit from a wrapped API call.
Framework vs. Custom SDK: When Off-the-Shelf Stops Working
October 2025 · By Kodexo Labs
the signals that tell you it is time to build your own layer.
How Much Does Custom AI Agent SDK Development Cost?
August 2025 · By Kodexo Labs
what actually drives the price, from tool count to compliance scope.
Frequently Asked Questions About Custom Agent SDK Development
Kodexo Labs builds custom AI agent SDKs: a toolkit for agent architecture, tool and function calling, multi-model support, and guardrails. A client's own engineering team can extend that toolkit after handover. Most vendors ship one agent that only they can maintain. Kodexo Labs builds the layer underneath it instead. Every new agent the client's team adds afterward reuses that same tested foundation, instead of starting from zero.