### List Contexts and Get Stats

Source: https://github.com/superfly/contextwindow/blob/main/README.md

Demonstrates how to retrieve all contexts and efficiently fetch statistics for each, including token counts and record numbers. This method is optimized for performance even with large histories.

```go
// Get all contexts
contexts, err := cw.ListContexts()
if err != nil {
    log.Fatalf("Failed to list contexts: %v", err)
}

// Get efficient stats for each context (no table scans)
for _, context := range contexts {
    stats, err := cw.GetContextStats(context)
    if err != nil {
        log.Printf("Failed to get stats for %s: %v", context.Name, err)
        continue
    }
    
    fmt.Printf("Context: %s\n", context.Name)
    fmt.Printf("  Created: %s\n", context.StartTime.Format("2006-01-02 15:04"))
    fmt.Printf("  Live tokens: %d\n", stats.LiveTokens)
    fmt.Printf("  Records: %d total, %d live\n", stats.TotalRecords, stats.LiveRecords)
    if stats.LastActivity != nil {
        fmt.Printf("  Last activity: %s\n", stats.LastActivity.Format("2006-01-02 15:04"))
    } else {
        fmt.Printf("  Last activity: never\n")
    }
}
```

--------------------------------

### Middleware for Tool Call Monitoring

Source: https://context7.com/superfly/contextwindow/llms.txt

Add middleware to intercept and log tool calls for debugging or analytics. This example defines a LoggingMiddleware to log tool call events.

```go
package main

import (
    "context"
    "encoding/json"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

// LoggingMiddleware logs all tool calls
type LoggingMiddleware struct{}

func (m *LoggingMiddleware) OnToolCall(ctx context.Context, name, args string) {
    log.Printf("[TOOL CALL] %s(%s)", name, args)
}

func (m *LoggingMiddleware) OnToolResult(ctx context.Context, name, result string, err error) {
    if err != nil {
        log.Printf("[TOOL ERROR] %s: %v", name, err)
    } else {
        log.Printf("[TOOL RESULT] %s: %s", name, result[:min(100, len(result))])
    }
}

func main() {
    ctx := context.Background()

    model, _ := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    db, _ := contextwindow.NewContextDB(":memory:")
    defer db.Close()

    cw, _ := contextwindow.NewContextWindow(db, model, "middleware-demo")

    // Add middleware
    cw.AddMiddleware(&LoggingMiddleware{})

    // Define a tool
    timeTool := contextwindow.NewTool("get_time", "Get the current time")
    cw.AddTool(timeTool, contextwindow.ToolRunnerFunc(
        func(ctx context.Context, args json.RawMessage) (string, error) {
            return "2024-01-15 10:30:00 UTC", nil
        },
    ))

    cw.AddPrompt("What time is it?")
    response, _ := cw.CallModel(ctx)
    fmt.Println(response)
    // Logs:
    // [TOOL CALL] get_time({})
    // [TOOL RESULT] get_time: 2024-01-15 10:30:00 UTC
}

func min(a, b int) int {
    if a < b {
        return a
    }
    return b
}
```

--------------------------------

### Thread-Safe Reader for Concurrent Access

Source: https://context7.com/superfly/contextwindow/llms.txt

Use ContextReader for safe concurrent access to context data from multiple goroutines. This example demonstrates how UI and Metrics goroutines can safely read token usage and live records.

```go
package main

import (
    "context"
    "fmt"
    "sync"
    "time"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, _ := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    db, _ := contextwindow.NewContextDB(":memory:")
    defer db.Close()

    cw, _ := contextwindow.NewContextWindow(db, model, "concurrent-demo")
    cw.SetMaxTokens(4096)

    // Get a thread-safe reader
    reader := cw.Reader()

    var wg sync.WaitGroup

    // UI update goroutine
    wg.Add(1)
    go func() {
        defer wg.Done()
        for i := 0; i < 5; i++ {
            usage, _ := reader.TokenUsage()
            fmt.Printf("[UI] Token usage: %d/%d (%.1f%%)\n",
                usage.Live, usage.Max, usage.Percent*100)
            time.Sleep(100 * time.Millisecond)
        }
    }()

    // Metrics goroutine
    wg.Add(1)
    go func() {
        defer wg.Done()
        for i := 0; i < 5; i++ {
            records, _ := reader.LiveRecords()
            fmt.Printf("[Metrics] Live records: %d\n", len(records))
            time.Sleep(100 * time.Millisecond)
        }
    }()

    // Main thread modifies state safely
    cw.AddPrompt("Hello!")
    cw.CallModel(ctx)
    cw.SwitchContext("another-context")
    cw.SetMaxTokens(8192)

    wg.Wait()
}
```

--------------------------------

### Initialize and Use OpenAI Model

Source: https://github.com/superfly/contextwindow/blob/main/README.md

Demonstrates initializing a ContextWindow with an OpenAI model and making a basic call. Ensure the OPENAI_API_KEY environment variable is set. The database can be persisted by using a file path instead of ":memory:".

```go
package main

import (
	"context"
	"fmt"
	"log"

	"github.com/openai/openai-go/v2/shared"
	"github.com/superfly/contextwindow"
)

var prompt = `how's the weather over there?`

func main() {
	ctx := context.Background()

	// reads OPENAI_API_KEY
	model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
	if err != nil {
		log.Fatalf("Failed to create model: %v", err)
	}

	// Initialize the database (in-memory)
	// For persistence, use a file path instead of ":memory:"
	db, err := contextwindow.NewContextDB(":memory:")
	if err != nil {
		log.Fatalf("Failed to create database: %v", err)
	}
	defer db.Close()

	// Initialize the ContextWindow
	cw, err := contextwindow.NewContextWindow(db, model, "")
	if err != nil {
		log.Fatalf("Failed to create context window: %v", err)
	}
	defer cw.Close()

	if err := cw.AddPrompt(prompt); err != nil {
		log.Fatalf("Failed to add prompt: %v", err)
	}

	// Call the model to get a response
	response, err := cw.CallModel(ctx)
	if err != nil {
		log.Fatalf("Failed to call model: %v", err)
	}
	fmt.Printf("<- Model: %s\n", response)
}
```

--------------------------------

### Define and Add a Tool for LLM

Source: https://github.com/superfly/contextwindow/blob/main/README.md

Shows how to define a tool with parameters and attach it to a ContextWindow instance. Tool arguments are passed as JSON, and responses are strings.

```go
lsTool := contextwindow.NewTool("list_files", `
  This tool lists files in the specified directory.
`).AddStringParameter("directory", "Directory to list", true)

cw.AddTool(lsTool, contextwindow.ToolRunnerFunc(func context.Context,
                                                args json.RawMessage) (string, error) {
  var treq struct {
    Dir string `json:"directory"`
  }
  json.Unmarshal(args, &treq)
  // actually run ls, or pretend to
  return "here\nare\nsome\nfiles.exe\n", nil
})
```

--------------------------------

### Initialize SQLite Database for ContextWindow

Source: https://context7.com/superfly/contextwindow/llms.txt

Initializes a SQLite database for storing context windows. Use ':memory:' for transient storage or a file path for persistent conversations.

```go
package main

import (
    "log"
    "github.com/superfly/contextwindow"
)

func main() {
    // In-memory database (transient)
    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    // Or persistent database
    db, err = contextwindow.NewContextDB("/path/to/conversations.db")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()
}
```

--------------------------------

### Create ContextWindow with OpenAI Model

Source: https://context7.com/superfly/contextwindow/llms.txt

Creates a ContextWindow using OpenAI's Responses API model for conversation management with automatic tool call support. Reads OPENAI_API_KEY from environment variables.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    // Create OpenAI Responses model (reads OPENAI_API_KEY from env)
    model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create model: %v", err)
    }

    // Initialize database
    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    // Create ContextWindow with auto-generated context name
    cw, err := contextwindow.NewContextWindow(db, model, "")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }
    defer cw.Close()

    // Add a user prompt and call the model
    if err := cw.AddPrompt("What is the capital of France?"); err != nil {
        log.Fatalf("Failed to add prompt: %v", err)
    }

    response, err := cw.CallModel(ctx)
    if err != nil {
        log.Fatalf("Failed to call model: %v", err)
    }
    fmt.Printf("Response: %s\n", response)
    // Output: Response: The capital of France is Paris.
}
```

--------------------------------

### Define and Call a File Listing Tool

Source: https://context7.com/superfly/contextwindow/llms.txt

Define a tool to list files in a directory using typed parameters and register it with a runner function. The model automatically calls the tool when appropriate.

```go
package main

import (
    "context"
    "encoding/json"
    "fmt"
    "log"
    "os"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create model: %v", err)
    }

    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    cw, err := contextwindow.NewContextWindow(db, model, "tool-demo")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }

    // Define a tool with typed parameters
    listFilesTool := contextwindow.NewTool("list_files", "
        Lists files in the specified directory.
        Returns a newline-separated list of filenames.
    ").AddStringParameter("directory", "Directory path to list", true)

    // Register tool with a runner function
    err = cw.AddTool(listFilesTool, contextwindow.ToolRunnerFunc(
        func(ctx context.Context, args json.RawMessage) (string, error) {
            var params struct {
                Directory string `json:"directory"`
            }
            if err := json.Unmarshal(args, &params); err != nil {
                return "", fmt.Errorf("invalid arguments: %w", err)
            }

            entries, err := os.ReadDir(params.Directory)
            if err != nil {
                return "", fmt.Errorf("failed to read directory: %w", err)
            }

            var result string
            for _, entry := range entries {
                result += entry.Name() + "\n"
            }
            return result, nil
        },
    ))
    if err != nil {
        log.Fatalf("Failed to add tool: %v", err)
    }

    // The model will automatically call the tool when appropriate
    if err := cw.AddPrompt("What files are in the current directory?"); err != nil {
        log.Fatalf("Failed to add prompt: %v", err)
    }

    response, err := cw.CallModel(ctx)
    if err != nil {
        log.Fatalf("Failed to call model: %v", err)
    }
    fmt.Printf("Response: %s\n", response)
}
```

--------------------------------

### Track Token Usage with Context Window

Source: https://context7.com/superfly/contextwindow/llms.txt

Use this snippet to monitor live and total token consumption within your context window. Ensure the 'contextwindow' and 'openai-go' libraries are imported.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create model: %v", err)
    }

    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    cw, err := contextwindow.NewContextWindow(db, model, "token-tracking")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }

    // Set maximum tokens for the context window
    cw.SetMaxTokens(8192)

    cw.AddPrompt("Explain quantum computing in detail.")
    cw.CallModel(ctx)

    // Get live tokens (currently in context)
    liveTokens, err := cw.LiveTokens()
    if err != nil {
        log.Fatalf("Failed to get live tokens: %v", err)
    }

    // Get total tokens used across all calls
    totalTokens := cw.TotalTokens()

    // Get comprehensive usage metrics
    usage, err := cw.TokenUsage()
    if err != nil {
        log.Fatalf("Failed to get token usage: %v", err)
    }

    fmt.Printf("Live tokens: %d\n", liveTokens)
    fmt.Printf("Total tokens used: %d\n", totalTokens)
    fmt.Printf("Token usage: %d/%d (%.1f%%)\n", usage.Live, usage.Max, usage.Percent*100)
    // Output:
    // Live tokens: 1523
    // Total tokens used: 2847
    // Token usage: 1523/8192 (18.6%)
}

```

--------------------------------

### Create ContextWindow with Claude Model

Source: https://context7.com/superfly/contextwindow/llms.txt

Creates a ContextWindow using Anthropic's Claude model with support for system prompts and tool calling. Reads ANTHROPIC_API_KEY from environment variables.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    // Create Claude model (reads ANTHROPIC_API_KEY from env)
    model, err := contextwindow.NewClaudeModel(contextwindow.ModelClaudeSonnet45)
    if err != nil {
        log.Fatalf("Failed to create Claude model: %v", err)
    }

    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    cw, err := contextwindow.NewContextWindow(db, model, "claude-conversation")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }
    defer cw.Close()

    // Set a system prompt
    if err := cw.SetSystemPrompt("You are a helpful assistant that speaks like a pirate."); err != nil {
        log.Fatalf("Failed to set system prompt: %v", err)
    }

    if err := cw.AddPrompt("Tell me about the ocean."); err != nil {
        log.Fatalf("Failed to add prompt: %v", err)
    }

    response, err := cw.CallModel(ctx)
    if err != nil {
        log.Fatalf("Failed to call model: %v", err)
    }
    fmt.Printf("Response: %s\n", response)
}
```

--------------------------------

### Manage Multiple Contexts in Go

Source: https://context7.com/superfly/contextwindow/llms.txt

Switch between different conversation contexts within a single ContextWindow instance. This allows for separate conversation histories for different users or topics. Ensure the database and model are initialized before use.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create model: %v", err)
    }

    db, err := contextwindow.NewContextDB("conversations.db")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    cw, err := contextwindow.NewContextWindow(db, model, "user-alice")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }

    // Conversation with Alice
    cw.AddPrompt("Hi, I'm Alice!")
    cw.CallModel(ctx)

    // Switch to Bob's context (creates if doesn't exist)
    if err := cw.SwitchContext("user-bob"); err != nil {
        log.Fatalf("Failed to switch context: %v", err)
    }

    // Conversation with Bob (separate from Alice)
    cw.AddPrompt("Hi, I'm Bob!")
    cw.CallModel(ctx)

    // List all contexts
    contexts, err := cw.ListContexts()
    if err != nil {
        log.Fatalf("Failed to list contexts: %v", err)
    }

    for _, c := range contexts {
        stats, _ := cw.GetContextStats(c)
        fmt.Printf("Context: %s, Records: %d, Live Tokens: %d\n",
            c.Name, stats.TotalRecords, stats.LiveTokens)
    }
    // Output:
    // Context: user-bob, Records: 2, Live Tokens: 45
    // Context: user-alice, Records: 2, Live Tokens: 42

    // Clone a context
    if err := cw.Clone("user-alice-backup"); err != nil {
        log.Fatalf("Failed to clone context: %v", err)
    }

    // Delete a context
    if err := cw.DeleteContext("user-bob"); err != nil {
        log.Fatalf("Failed to delete context: %v", err)
    }
}
```

--------------------------------

### Define Tools with Various Parameter Types

Source: https://context7.com/superfly/contextwindow/llms.txt

Define tools with string, number, boolean, array, and object parameters. The object parameter supports nested properties.

```go
package main

import (
    "github.com/superfly/contextwindow"
)

func main() {
    // String parameter
    searchTool := contextwindow.NewTool("search", "Search for content").
        AddStringParameter("query", "Search query", true).
        AddNumberParameter("limit", "Maximum results", false)

    // Boolean parameter
    toggleTool := contextwindow.NewTool("toggle_feature", "Toggle a feature").
        AddBooleanParameter("enabled", "Whether to enable", true)

    // Array parameter
    batchTool := contextwindow.NewTool("process_batch", "Process multiple items").
        AddArrayParameter("items", "List of item IDs", true, contextwindow.ParameterTypeString)

    // Object parameter with nested properties
    createUserTool := contextwindow.NewTool("create_user", "Create a new user").
        AddObjectParameter("user", "User details", true, map[string]*contextwindow.Parameter{
            "name": { 
                Name:        "name",
                Type:        contextwindow.ParameterTypeString,
                Description: "User's full name",
                Required:    true,
            },
            "age": {
                Name:        "age",
                Type:        contextwindow.ParameterTypeNumber,
                Description: "User's age",
                Required:    false,
            },
        })

    // Convert to provider-specific format
    _ = searchTool.ToOpenAI()   // OpenAI FunctionDefinitionParam
    _ = toggleTool.ToClaude()   // Anthropic ToolParam
    _ = batchTool.ToGemini()    // Google FunctionDeclaration
    _ = createUserTool
}
```

--------------------------------

### Manage Live Records in Go

Source: https://context7.com/superfly/contextwindow/llms.txt

Access and manipulate live records within the context window directly. Use `LiveRecords()` to retrieve all current records and `SetRecordLiveStateByRange` to mark records as live or not. This is useful for pruning the context.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, _ := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    db, _ := contextwindow.NewContextDB(":memory:")
    defer db.Close()

    cw, _ := contextwindow.NewContextWindow(db, model, "records-demo")

    // Add multiple prompts
    cw.AddPrompt("First message")
    cw.CallModel(ctx)
    cw.AddPrompt("Second message")
    cw.CallModel(ctx)
    cw.AddPrompt("Third message")
    cw.CallModel(ctx)

    // Get all live records
    records, err := cw.LiveRecords()
    if err != nil {
        log.Fatalf("Failed to get records: %v", err)
    }

    fmt.Printf("Live records: %d\n", len(records))
    for i, rec := range records {
        sourceType := []string{"Prompt", "ModelResp", "ToolCall", "ToolOutput", "SystemPrompt"}[rec.Source]
        fmt.Printf("[%d] %s: %s... (%d tokens)\n",
            i, sourceType, rec.Content[:min(30, len(rec.Content))], rec.EstTokens)
    }

    // Mark records as not live (remove from context window)
    // This marks records at indices 0 and 1 as dead
    if err := cw.SetRecordLiveStateByRange(0, 1, false); err != nil {
        log.Fatalf("Failed to set record state: %v", err)
    }

    // Now only newer records are live
    records, _ = cw.LiveRecords()
    fmt.Printf("Live records after pruning: %d\n", len(records))
}

func min(a, b int) int {
    if a < b {
        return a
    }
    return b
}
```

--------------------------------

### Summarize Context with LLM

Source: https://context7.com/superfly/contextwindow/llms.txt

Compress long conversations using a separate LLM summarizer to reduce token count while preserving essential information. This requires configuring a summarizer model and prompt.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    // Main model for conversation
    model, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create model: %v", err)
    }

    // Cheaper model for summarization
    summarizer, err := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    if err != nil {
        log.Fatalf("Failed to create summarizer: %v", err)
    }

    db, err := contextwindow.NewContextDB(":memory:")
    if err != nil {
        log.Fatalf("Failed to create database: %v", err)
    }
    defer db.Close()

    cw, err := contextwindow.NewContextWindow(db, model, "summarization-demo")
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }

    // Configure summarizer
    cw.SetSummarizer(summarizer)
    cw.SetSummarizerPrompt("Summarize this conversation, preserving key facts and decisions.")

    // Simulate a long conversation
    for i := 0; i < 10; i++ {
        cw.AddPrompt(fmt.Sprintf("Tell me about topic %d in great detail.", i))
        cw.CallModel(ctx)
    }

    // Check token usage
    beforeTokens, _ := cw.LiveTokens()
    fmt.Printf("Tokens before summarization: %d\n", beforeTokens)

    // Generate summary (doesn't apply it yet)
    result, err := cw.SummarizeLiveContext(ctx)
    if err != nil {
        log.Fatalf("Failed to summarize: %v", err)
    }

    fmt.Printf("Original tokens: %d\n", result.OrigCount)
    fmt.Printf("Summary tokens: %d\n", result.SummaryCount)
    fmt.Printf("Compression ratio: %.1fx\n", float64(result.OrigCount)/float64(result.SummaryCount))

    // Accept the summary (replaces live records with summary)
    if err := cw.AcceptSummary(result); err != nil {
        log.Fatalf("Failed to accept summary: %v", err)
    }

    afterTokens, _ := cw.LiveTokens()
    fmt.Printf("Tokens after summarization: %d\n", afterTokens)
}

```

--------------------------------

### Enhance Threading Logic in CallModelWithOpts

Source: https://github.com/superfly/contextwindow/blob/main/plans/2025-09-17-resume-context-plan.md

Enhance threading logic in CallModelWithOpts to gracefully handle broken response_id chains. It should prioritize server-side threading if a valid last_response_id is available, otherwise fall back to client-side threading with full history.

```go
// If server-side threading is enabled AND we have a valid `last_response_id`, use server-side threading
// Otherwise, gracefully fall back to client-side threading with full history
```

--------------------------------

### Update CreateContextWithThreading Logic

Source: https://github.com/superfly/contextwindow/blob/main/plans/2025-09-17-resume-context-plan.md

Modify CreateContextWithThreading to return an existing context if the name already exists, instead of failing. This involves removing the name collision check and implementing a check for context existence.

```go
// Remove the name collision check (lines 139-146)
// Instead, check if context exists and return it
```

--------------------------------

### Update SwitchContext Logic

Source: https://github.com/superfly/contextwindow/blob/main/plans/2025-09-17-resume-context-plan.md

Modify SwitchContext to create a context if it does not exist. This involves checking if GetContextByName fails with sql.ErrNoRows and creating the context in that scenario.

```go
// If GetContextByName fails with sql.ErrNoRows, create the context
// Otherwise, proceed as normal
```

--------------------------------

### Enable Server-Side Threading for API Calls

Source: https://context7.com/superfly/contextwindow/llms.txt

Enable server-side threading for optimized API calls when using OpenAI's Responses API. This allows the server to maintain conversation state.

```go
package main

import (
    "context"
    "fmt"
    "log"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    ctx := context.Background()

    model, _ := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    db, _ := contextwindow.NewContextDB(":memory:")
    defer db.Close()

    // Enable server-side threading on creation
    cw, err := contextwindow.NewContextWindowWithThreading(db, model, "threaded", true)
    if err != nil {
        log.Fatalf("Failed to create context window: %v", err)
    }

    // Or toggle threading on existing context
    if err := cw.SetServerSideThreading(true); err != nil {
        log.Fatalf("Failed to enable threading: %v", err)
    }

    // Check threading status
    enabled, _ := cw.IsServerSideThreadingEnabled()
    fmt.Printf("Server-side threading enabled: %v\n", enabled)

    // With threading enabled, only the latest prompt is sent
    // The server maintains conversation state via response_id
    cw.AddPrompt("Hello!")
    cw.CallModel(ctx)

    cw.AddPrompt("What did I just say?")
    response, _ := cw.CallModel(ctx)
    fmt.Println(response)
    // The model remembers the conversation via server-side state
}
```

--------------------------------

### Define ContextReader Struct

Source: https://github.com/superfly/contextwindow/blob/main/plans/2025-09-18-contextreader-thread-safety.md

Defines the ContextReader struct, which acts as a thin proxy for thread-safe read access to context window data.

```go
// ContextReader provides thread-safe read access to context window data.
// It's a thin proxy that forwards calls to safe read methods.
type ContextReader struct {
    cw *ContextWindow // reference to underlying context window
}
```

--------------------------------

### Export and Import Contexts in Go

Source: https://context7.com/superfly/contextwindow/llms.txt

Export conversation contexts as structured data or JSON for backup, debugging, or transfer. The `ExportContextJSON` function saves the context to a file. Ensure the model and database are initialized.

```go
package main

import (
    "fmt"
    "log"
    "os"

    "github.com/openai/openai-go/v2/shared"
    "github.com/superfly/contextwindow"
)

func main() {
    model, _ := contextwindow.NewOpenAIResponsesModel(shared.ChatModelGPT5Mini)
    db, _ := contextwindow.NewContextDB(":memory:")
    defer db.Close()

    cw, _ := contextwindow.NewContextWindow(db, model, "exportable")
    cw.AddPrompt("This is a test conversation.")

    // Export as structured data
    export, err := cw.ExportContext("exportable")
    if err != nil {
        log.Fatalf("Failed to export: %v", err)
    }

    fmt.Printf("Context: %s\n", export.Context.Name)
    fmt.Printf("Records: %d\n", len(export.Records))
    fmt.Printf("Tools: %d\n", len(export.Tools))

    // Export as JSON
    jsonData, err := cw.ExportContextJSON("exportable")
    if err != nil {
        log.Fatalf("Failed to export JSON: %v", err)
    }

    // Save to file
    os.WriteFile("context-backup.json", jsonData, 0644)

    fmt.Printf("Exported JSON:\n%s\n", string(jsonData))
    // Output:
    // {
    //   "context": {
    //     "id": "...",
    //     "name": "exportable",
    //     "start_time": "2024-01-15T10:30:00Z"
    //   },
    //   "records": [...],
    //   "tools": []
    // }
}
```

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