krow_backend/go-api/internal/gateway/routing.go

package gateway

import (
	"github.com/krow/krow-backend/go-api/internal/config"
)

// ProviderOpenAI names the only wire protocol this platform speaks.
//
// One constant, not an enum, because there is one implementation. "openai" is
// the chat-completions shape — which is NOT only OpenAI. Groq, Gemini (through
// its compatible endpoint), OpenRouter, Together, vLLM and a local Ollama all
// serve it, and the difference between them is MODEL_BASE_URL and a model id,
// nothing more. Supporting six vendors is one implementation and six base URLs.
//
// The Anthropic path was removed deliberately, not lost. `MODEL_PROVIDER=anthropic`
// is now REFUSED at startup rather than ignored — see config.validateModel. A
// deployment carrying the old value must be told it moved, because the silent
// alternative is a stack that believes it is still on Claude while every run
// goes somewhere else.
const ProviderOpenAI = "openai"

// Effort is how hard a tier is allowed to think.
//
// PROVIDER-NEUTRAL ON PURPOSE, and the reason that mattered is now history
// worth keeping: this was a vendor SDK's own enum, baked into the routing table
// every provider has to read. Making it the platform's own vocabulary is what
// let that vendor be removed later without the routing table going with it —
// a one-line deletion instead of a re-typing of every tier.
//
// The three values are the platform's own vocabulary. Each implementation maps
// them onto whatever its API calls the same idea, and a provider with no such
// concept ignores them — the tier still selects the model, which is the larger
// lever anyway.
type Effort string

const (
	EffortLow   Effort = "low"
	EffortHigh  Effort = "high"
	EffortXhigh Effort = "xhigh"
)

// Routing is how a tier becomes a model and an effort level.
//
// The model per tier is a deployment knob — a tenant on a different contract,
// or a deployment pinning a version through an incident, changes it without a
// spec edit. The *effort* per tier is not: "fast" and "deep" mean something
// specific about how much work an answer is worth, and letting a deployment
// redefine that would make the same spec behave differently in two places
// while claiming the same tier.
type Routing struct {
	Model  string
	Effort Effort
}

// Config is the gateway's whole configuration surface.
//
// Built once at startup from the environment and passed in frozen, per §10.
// Nothing in this package reads the environment itself.
type Config struct {
	// Provider selects the implementation. Empty means openai, which is now
	// the only one; config.validateModel refuses any other value.
	Provider string

	APIKey string

	// BaseURL points the OpenAI-compatible path at a specific service. Empty
	// means OpenAI itself. This is the field that turns one implementation
	// into a choice between Groq, Gemini, OpenRouter and a local Ollama.
	BaseURL string

	Fast     Routing
	Balanced Routing
	Deep     Routing

	// MaxOutputTokens applies when a request does not set its own.
	MaxOutputTokens int64

	// SendReasoningEffort controls whether the OpenAI path transmits the
	// effort level as `reasoning_effort`.
	//
	// OFF BY DEFAULT, and that default is the careful one. Reasoning models
	// accept the field; most others reject the whole request with a 400 rather
	// than ignoring an unknown key. A run that dies on a malformed request is
	// worse than a run that thinks at the model's own default, so a deployment
	// on a reasoning-capable model opts in rather than every other deployment
	// opting out.
	SendReasoningEffort bool
}

// FromConfig builds the gateway's routing table from validated settings.
//
// The effort per tier is fixed here rather than configured, and that is the
// point of the function existing at all: a deployment chooses *which model*
// answers a tier, and the platform chooses *how hard it thinks*. If a
// deployment could redefine effort, two installations running the same
// definition would disagree about what "deep" means while both reporting the
// tier as deep — and the tier is written into every trajectory.
//
//	fast     → low     a lookup, a restatement, a short structured reading
//	balanced → high    the default, and what most turns should cost
//	deep     → xhigh   a turn worth several tool calls and real deliberation
//
// `max` is deliberately not reachable from a spec. It is the setting for when
// correctness matters more than cost, which is a judgement an operator makes
// about a deployment, not one an agent author makes about a page.
func FromConfig(c config.ModelConfig) Config {
	return Config{
		Provider:            c.Provider,
		APIKey:              c.APIKey,
		BaseURL:             c.BaseURL,
		Fast:                Routing{Model: c.Fast, Effort: EffortLow},
		Balanced:            Routing{Model: c.Balanced, Effort: EffortHigh},
		Deep:                Routing{Model: c.Deep, Effort: EffortXhigh},
		MaxOutputTokens:     int64(c.MaxOutputTokens),
		SendReasoningEffort: c.ReasoningEffort,
	}
}

// New builds the gateway a deployment's configuration asks for.
//
// One provider, so this is a constructor rather than a choice. It survives the
// removal of the second implementation because the runtime wires itself through
// `gateway.New(gateway.FromConfig(...))` and should not learn a concrete type:
// the next provider is a change here and nowhere else.
func New(cfg Config) Gateway {
	return NewOpenAI(cfg)
}

// routingFor resolves a tier against a table.
//
// An unknown tier has already been normalised by ParseTier, so the default arm
// is reached only by a zero value.
func (c Config) routingFor(t Tier) Routing {
	switch t {
	case TierFast:
		return c.Fast
	case TierDeep:
		return c.Deep
	default:
		return c.Balanced
	}
}