chore: import upstream snapshot with attribution
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// Package ai provides abstraction for AI model providers
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package ai
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import (
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"context"
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"encoding/json"
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"errors"
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"strings"
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)
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// Model provides an interface for interacting with AI model providers
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type Model interface {
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// Init initializes the model with options
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Init(...Option) error
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// Options returns the model options
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Options() Options
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// Generate generates a response from the model
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Generate(ctx context.Context, req *Request, opts ...GenerateOption) (*Response, error)
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// Stream generates a streaming response (for future implementation)
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Stream(ctx context.Context, req *Request, opts ...GenerateOption) (Stream, error)
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// String returns the name of the provider
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String() string
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}
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// Tool represents a tool/function that can be called by the model
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type Tool struct {
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Name string // LLM-safe name (e.g., "greeter_Greeter_Hello")
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OriginalName string // Original name (e.g., "greeter.Greeter.Hello")
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Description string
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Properties map[string]any // JSON schema for tool parameters
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}
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// Request represents a request to generate content from a model
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type Request struct {
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// Prompt is the user's message/prompt
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Prompt string
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// SystemPrompt is the system instruction for the model
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SystemPrompt string
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// Tools available for the model to use
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Tools []Tool
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// Messages for continuing a conversation (optional).
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// Use ai.History to accumulate these across turns.
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Messages []Message
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}
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// Message represents a conversation message
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type Message struct {
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Role string // "user", "assistant", "system", "tool"
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Content any // Can be string or structured content
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}
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// Usage describes token counts returned by model providers.
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type Usage struct {
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InputTokens int `json:"input_tokens,omitempty"`
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OutputTokens int `json:"output_tokens,omitempty"`
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TotalTokens int `json:"total_tokens,omitempty"`
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}
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// Response represents the response from a model
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type Response struct {
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// Reply is the text response from the model
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Reply string
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// ToolCalls are tool calls requested by the model
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ToolCalls []ToolCall
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// Answer is the final answer after tool execution (if tools were used)
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Answer string
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// Usage contains provider token usage when available.
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Usage Usage
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}
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// ToolCall represents a request to call a tool and its result
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type ToolCall struct {
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ID string // Tool call ID (for correlation)
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Name string // Tool name
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Input map[string]any // Tool input arguments
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Result string // Tool execution result (populated after execution)
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Error string // Tool execution error (populated after execution)
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}
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// Scan decodes the call's Input into v (a pointer to a struct or map),
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// the same way a codec decodes an RPC request body. Use it when a tool
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// wants typed arguments instead of the raw map:
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//
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// var args struct{ Query string `json:"query"` }
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// if err := call.Scan(&args); err != nil { ... }
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func (c ToolCall) Scan(v any) error {
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b, err := json.Marshal(c.Input)
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if err != nil {
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return err
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}
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return json.Unmarshal(b, v)
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}
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// ToolResult represents the result of a tool execution
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type ToolResult struct {
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ID string // Tool call ID (for correlation)
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Value any // Structured result (optional)
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Content string // Tool execution result (JSON string), shown to the model
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Attempts int `json:"attempts,omitempty"` // Tool execution attempts, set when retried.
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// Refused names the reason a guardrail blocked the call before it ran
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// ("max_steps", "loop", "approval"); empty when the call executed. A
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// tool wrapper can switch on it to build reliability tooling — react to
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// a detected loop, audit refusals — without parsing the message.
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Refused string `json:"refused,omitempty"`
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}
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// Refusal reason codes set on ToolResult.Refused by the agent's guardrails.
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const (
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RefusedMaxSteps = "max_steps"
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RefusedLoop = "loop"
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RefusedApproval = "approval"
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// RefusedSpendBudget means an agent refused a paid tool before execution
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// because the configured per-run x402 spend budget would be exceeded.
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RefusedSpendBudget = "spend_budget"
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)
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// RunInfo describes the agent run a tool call belongs to. The agent
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// attaches it to the context passed to a ToolHandler, so a wrapper can
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// correlate calls within a run and across delegation without coupling to
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// the agent package. Flows also attach their name and current step so
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// tools and agents called from a workflow can be tied back to the
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// services → agents → workflows lifecycle that invoked them. Per-call
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// detail (tool name, id) is on the ToolCall. Attempt and MaxAttempts are
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// set while a model Generate call is in progress, so tools and wrappers can
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// tell which provider attempt produced the call and whether it is part of a
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// retry budget. They are zero when no model-attempt context is known.
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type RunInfo struct {
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RunID string // correlation id for this agent or flow run
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ParentID string // the run that delegated to this one, if any
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Agent string // the agent's name
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Flow string // the flow's name, when the call is part of a workflow
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Step string // the flow step currently executing, when known
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Attempt int // current model Generate attempt, starting at 1 when known
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MaxAttempts int // configured model Generate attempt budget when known
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VerificationFeedback string // feedback from the previous failed verifier attempt, when retrying a flow step
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Dispatch string // how the run was dispatched (direct, broker, schedule, resume) when known
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Trigger string // external trigger or schedule label that started the run, when known
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Spent int64 // cumulative paid x402 spend in this run, in the asset's smallest unit
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ToolSpend int64 // paid x402 spend attributed to the current tool call, in the asset's smallest unit
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}
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type runInfoKey struct{}
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// WithRunInfo attaches run info to ctx.
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func WithRunInfo(ctx context.Context, r RunInfo) context.Context {
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return context.WithValue(ctx, runInfoKey{}, r)
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}
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// RunInfoFrom returns the run info attached to ctx, and whether it was set.
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func RunInfoFrom(ctx context.Context) (RunInfo, bool) {
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r, ok := ctx.Value(runInfoKey{}).(RunInfo)
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return r, ok
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}
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// ErrStreamingUnsupported is returned by providers that implement the Model
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// interface but do not yet support token streaming. Use errors.Is so callers
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// can distinguish an unsupported capability from transient provider failures.
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var ErrStreamingUnsupported = errors.New("ai: streaming unsupported")
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// Stream is the interface for streaming responses.
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type Stream interface {
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// Recv receives the next chunk of the response
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Recv() (*Response, error)
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// Close closes the stream
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Close() error
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}
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// ToolHandler executes a tool call and returns its result. It mirrors a
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// go-micro RPC handler — context first, a request in, a result out — so
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// the same mental model carries over from services to tools.
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type ToolHandler func(ctx context.Context, call ToolCall) ToolResult
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// ToolWrapper wraps a ToolHandler to add behavior around execution —
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// logging, metrics, retries, guardrails. It is the tool-side analog of
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// client.CallWrapper and server.HandlerWrapper: a wrapper takes the next
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// handler and returns a new one, and code before the next(...) call runs
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// before the tool, code after runs after.
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type ToolWrapper func(ToolHandler) ToolHandler
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// NewFunc creates a new Model instance
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type NewFunc func(...Option) Model
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var providers = make(map[string]NewFunc)
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// Register registers a model provider
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func Register(name string, fn NewFunc) {
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providers[name] = fn
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}
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// New creates a new Model instance based on the provider name
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func New(provider string, opts ...Option) Model {
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if fn, ok := providers[provider]; ok {
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return fn(opts...)
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}
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// Default to first registered provider
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if len(providers) > 0 {
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for _, fn := range providers {
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return fn(opts...)
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}
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}
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return nil
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}
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// AutoDetectProvider attempts to detect the provider from the base URL
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func AutoDetectProvider(baseURL string) string {
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if baseURL == "" {
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return "openai"
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}
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switch {
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case strings.Contains(baseURL, "anthropic"):
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return "anthropic"
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case strings.Contains(baseURL, "atlascloud"):
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return "atlascloud"
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case strings.Contains(baseURL, "googleapis.com"), strings.Contains(baseURL, "google"):
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return "gemini"
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case strings.Contains(baseURL, "groq"):
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return "groq"
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case strings.Contains(baseURL, "minimax"):
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return "minimax"
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case strings.Contains(baseURL, "mistral"):
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return "mistral"
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case strings.Contains(baseURL, "together"):
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return "together"
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default:
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return "openai"
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}
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}
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// DefaultModel is a default model instance
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var DefaultModel Model
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// Generate generates a response using the default model.
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func Generate(ctx context.Context, req *Request, opts ...GenerateOption) (*Response, error) {
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if DefaultModel == nil {
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return nil, nil
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}
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return DefaultModel.Generate(ctx, req, opts...)
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}
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