TL;DR
I built RouteSmith because coding agents still make users do too much manual routing.
If a prompt says, "plan this feature, implement it, add tests, and write docs," that is not one task. It is a workflow.
RouteSmith detects the current host, decomposes the prompt into task types, maps those tasks to capability classes, and routes them using what the host can actually support. If the host supports switching, RouteSmith can suggest concrete models. If it does not, RouteSmith falls back honestly instead of pretending switching happened.
It is especially useful for:
- people starting with coding agents
- vibe coders who do not want to learn model tradeoffs first
- solo builders doing mixed-task prompts
- advanced users who want measurable, configurable routing
The Problem That Kept Annoying Me
I kept running into the same moment.
I would open a coding agent and give it one big prompt:
"Plan this feature, implement it, add tests, write docs, and review the result."
At first it felt smooth.
Then the flow broke.
I stopped thinking about the feature and started doing routing in my head.
Questions like:
- should planning use a stronger reasoning model?
- should coding use something different?
- why am I spending the heaviest model on docs and formatting?
- does this host even support switching the way I think it does?
That was the real problem.
The prompt was never one task. It was several different jobs bundled together.
What RouteSmith Is
RouteSmith is a host-aware routing layer for coding agents.
It is not another coding agent.
It is not an API gateway.
It sits between a mixed prompt and the host's real capabilities.
The basic flow looks like this:
- detect the current host
- classify the prompt into task types
- map those task types to capability classes
- resolve those capabilities against host-native models or strategies
- preserve dependency order
- track outcomes and improve routing over time
Why "Host-Aware" Is the Important Part
This is the part I care about most.
Too many conversations about multi-model workflows flatten away the host and act like every environment exposes the same control surface.
They do not.
Claude Code, Cursor, Copilot, Codex, Gemini CLI, and Aider do not all behave the same way. Some support real model switching. Some expose model choice differently. Some are much more host-controlled.
So RouteSmith is built around a simple rule:
the host is the source of truth.
If the host supports dynamic switching, RouteSmith can route tasks to concrete models.
If the host does not, RouteSmith does not fake it. It keeps the routing logic and applies prompt strategy instead.
That honest behavior matters more than a fake universal abstraction.
Who This Is For
This project is not just for people who already know the difference between reasoning models, coding models, fast utility models, and cost-optimized routing.
It is also for people who are new to all of that.
1. People starting with coding agents
If you are using agent tools but still do not know when to switch models, RouteSmith is meant to help reduce that decision burden.
2. People doing vibe coding
If your style is to describe the outcome in plain English and keep moving, RouteSmith helps because it treats the prompt like a workflow rather than a blob.
3. Solo builders and founders
If you are doing planning, implementation, tests, docs, and review yourself, task-aware routing becomes immediately useful.
4. Advanced users
If you care about policy overrides, plugins, telemetry, performance-aware routing, and host constraints, RouteSmith has room for that too.
The short version:
RouteSmith is for people who want the benefits of multi-model workflows without having to become experts in model routing first.
A Concrete Example
Say a beginner types this:
Build me a simple expense tracker with authentication, add tests, and write a README.
What that usually means is something like:
- planning the feature structure
- implementing the app
- writing tests
- documenting the result
Those are different kinds of work.
RouteSmith can treat them that way.
A conceptual route might look like this:
planning -> deep_reasoning
coding -> coding
testing -> coding
documentation -> balanced
Then the host adapter decides what that means in practice.
If the host supports switching, RouteSmith can suggest concrete models for each step.
If the host does not, it still preserves the task-aware strategy without lying about model control.
How It Works Under the Hood
Deterministic planning
RouteSmith classifies prompts into task types such as:
- planning
- analysis
- coding
- testing
- refactor
- documentation
- formatting
- review
That planning is deterministic. It does not need live API calls just to understand the shape of the request.
Capability classes
Instead of hardcoding routes directly to model names, RouteSmith maps tasks into capability classes like:
deep_reasoningcodingbalancedfast
That makes the system portable across hosts.
Dependency-aware execution
Mixed prompts are not just lists. Tests often depend on implementation. Docs usually follow the change. Review comes later.
RouteSmith keeps that order intact.
Performance-aware routing
RouteSmith also records local telemetry such as:
- model used
- host name
- task type
- capability class
- success or failure
- duration
- telemetry source
That data is not just for display.
If enough evidence shows that a default model is weak for a capability and a better host-available option exists, RouteSmith can de-prioritize the weaker model.
That turns performance tracking into an active routing signal.
How It Compares to Other Tools
I do not think the useful framing here is "RouteSmith vs everything else."
The useful framing is that adjacent tools solve different layers.
Agent products
Claude Code, Cursor, and Aider are agent products. They are the tools doing the coding work.
RouteSmith is not trying to replace them.
API and gateway infrastructure
LiteLLM and Portkey solve a different problem: multi-provider routing, control, and observability at the API layer.
That is useful, but it is not the same layer RouteSmith lives in.
Rules, skills, and instructions
Instruction surfaces help shape behavior, but they are not routing brains on their own.
RouteSmith sits between these layers as a host-aware routing layer for coding-agent workflows.
If I had to summarize it simply:
- use Claude Code, Cursor, or Aider when you want a coding agent
- use LiteLLM or Portkey when you want API-layer routing or gateway control
- use RouteSmith when you want mixed-task coding prompts routed more intelligently inside real host constraints
What It Actually Gives You
The main benefit is not novelty. It is leverage.
RouteSmith helps by:
- reducing model micromanagement
- making mixed prompts more structured
- respecting host-specific constraints
- helping beginners benefit from better routing without needing deep model knowledge
- giving advanced users telemetry, policy, and performance-aware adaptation
Try It
pip install routesmith
routesmith detect-host
routesmith explain "Plan this feature, implement it, add tests, and write docs"
routesmith run "Plan this feature, implement it, add tests, and write docs"
routesmith stats
And if you want to use it as a tool inside larger workflows:
routesmith serve-stdio
Final Thought
The interesting part of coding-agent workflows is no longer just the model.
It is the routing layer around the work.
If a prompt contains planning, coding, testing, documentation, and review, then treating it like one undifferentiated request is a bad fit for how software work actually happens.
That is the gap RouteSmith is trying to close.
Github link: github.com/sidrat2612/routesmith
PyPI link: pypi.org/project/routesmith
