Implement comprehensive token-free result sharing

- Add 4 token-free sharing methods for benchmark results
- Anonymous GitHub gists (no auth required)
- Email templates for manual submission to maintainers
- Discord/Slack formatted posts for community channels
- HTTP POST scripts for future API endpoints
- Add HTTP and JSON dependencies for gist creation
- Fallback gracefully from PR → Issue → Token-free → Local
- Ensures benchmark data can always be shared with community
- Removes GitHub token barriers for result sharing

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: ChrisRackauckas

lib/LinearSolveAutotune/Project.toml

@@ -10,6 +10,8 @@ Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 GitHub = "bc5e4493-9b4d-5f90-b8aa-2b2bcaad7a26"
+HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
+JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
 Preferences = "21216c6a-2e73-6563-6e65-726566657250"
@@ -36,6 +38,8 @@ Base64 = "1"
 CSV = "0.10"
 DataFrames = "1"
 GitHub = "5"
+HTTP = "1"
+JSON = "0.21"
 Plots = "1"
 PrettyTables = "2"
 Preferences = "1"

lib/LinearSolveAutotune/src/LinearSolveAutotune.jl

@@ -16,6 +16,8 @@ using RecursiveFactorization  # Hard dependency to ensure RFLUFactorization is a
 
 # Optional dependencies for telemetry and plotting
 using GitHub
+using HTTP
+using JSON
 using Plots
 
 # Load JLL packages when available for better library access

lib/LinearSolveAutotune/src/telemetry.jl

@@ -336,8 +336,18 @@ function upload_to_github(content::String, plot_files::Union{Nothing, Tuple, Dic
                          results_df::DataFrame, system_info::Dict, categories::Dict)
 
     if auth === nothing
-        @info "⚠️  No GitHub authentication available. Saving results locally instead of uploading."
-        # Save locally as fallback
+        @info "⚠️  No GitHub authentication available. Using token-free sharing methods..."
+        
+        # Try token-free sharing methods
+        try
+            share_results_token_free(content, plot_files, results_df, system_info, categories)
+            return
+        catch e
+            @warn "Token-free sharing failed: $e"
+            @info "📁 Falling back to local save..."
+        end
+        
+        # Save locally as final fallback
         fallback_file = "autotune_results_$(replace(string(Dates.now()), ":" => "-")).md"
         open(fallback_file, "w") do f
             write(f, content)
@@ -428,6 +438,240 @@ function upload_to_github(content::String, plot_files::Union{Nothing, Tuple, Dic
     end
 end
 
+"""
+    share_results_token_free(content, plot_files, results_df, system_info, categories)
+
+Share benchmark results without requiring GitHub authentication using various methods.
+"""
+function share_results_token_free(content, plot_files, results_df, system_info, categories)
+    @info "🌐 Attempting token-free result sharing methods..."
+    
+    success_methods = String[]
+    
+    # Method 1: Create a shareable gist URL (read-only)
+    try
+        gist_url = create_anonymous_gist(content, system_info)
+        if gist_url !== nothing
+            @info "✅ Anonymous gist created: $gist_url"
+            @info "📋 Share this URL with the LinearSolve.jl community!"
+            push!(success_methods, "Anonymous Gist")
+        end
+    catch e
+        @debug "Anonymous gist creation failed: $e"
+    end
+    
+    # Method 2: Generate a formatted email template
+    try
+        email_content = create_email_template(content, system_info, categories)
+        email_file = "benchmark_email_$(replace(string(Dates.now()), ":" => "-")).txt"
+        open(email_file, "w") do f
+            write(f, email_content)
+        end
+        @info "✅ Email template created: $email_file"
+        @info "📧 Send this file content to the LinearSolve.jl maintainers!"
+        push!(success_methods, "Email Template")
+    catch e
+        @debug "Email template creation failed: $e"
+    end
+    
+    # Method 3: Generate Discord/Slack sharing format
+    try
+        discord_content = create_discord_format(content, system_info)
+        discord_file = "benchmark_discord_$(replace(string(Dates.now()), ":" => "-")).txt"
+        open(discord_file, "w") do f
+            write(f, discord_content)
+        end
+        @info "✅ Discord/Slack format created: $discord_file"  
+        @info "💬 Share this in the Julia/LinearSolve community channels!"
+        push!(success_methods, "Discord Format")
+    catch e
+        @debug "Discord format creation failed: $e"
+    end
+    
+    # Method 4: Generate a simple HTTP POST command
+    try
+        http_command = create_http_post_command(content, system_info)
+        http_file = "benchmark_http_$(replace(string(Dates.now()), ":" => "-")).sh" 
+        open(http_file, "w") do f
+            write(f, http_command)
+        end
+        @info "✅ HTTP POST command created: $http_file"
+        @info "🌐 Run this script to submit via HTTP (when endpoint available)"
+        push!(success_methods, "HTTP POST")
+    catch e
+        @debug "HTTP POST command creation failed: $e"
+    end
+    
+    if !isempty(success_methods)
+        @info "🎉 Successfully created $(length(success_methods)) sharing methods: $(join(success_methods, ", "))"
+        @info "🤝 Your benchmark data helps improve LinearSolve.jl for everyone!"
+        return true
+    else
+        return false
+    end
+end
+
+"""
+    create_anonymous_gist(content, system_info)
+
+Create an anonymous GitHub gist with benchmark results (no auth required).
+"""
+function create_anonymous_gist(content, system_info)
+    try
+        # Create gist payload
+        cpu_name = get(system_info, "cpu_name", "Unknown CPU")
+        os_name = get(system_info, "os", "Unknown OS")
+        timestamp = Dates.format(Dates.now(), "yyyy-mm-dd")
+        
+        filename = "linearsolve_benchmark_$(cpu_name)_$(os_name)_$(timestamp).md"
+        # Sanitize filename
+        filename = replace(filename, r"[^a-zA-Z0-9._-]" => "_")
+        
+        gist_data = Dict(
+            "description" => "LinearSolve.jl Autotune Benchmark Results - $cpu_name on $os_name",
+            "public" => true,
+            "files" => Dict(
+                filename => Dict(
+                    "content" => content
+                )
+            )
+        )
+        
+        # Post to GitHub gist API (no auth required for anonymous gists)
+        response = HTTP.post(
+            "https://api.github.com/gists",
+            ["Content-Type" => "application/json"],
+            JSON.json(gist_data)
+        )
+        
+        if response.status == 201
+            result = JSON.parse(String(response.body))
+            return result["html_url"]
+        else
+            return nothing
+        end
+    catch e
+        @debug "Anonymous gist creation failed: $e"
+        return nothing
+    end
+end
+
+"""
+    create_email_template(content, system_info, categories)
+
+Create an email template for manual submission to maintainers.
+"""
+function create_email_template(content, system_info, categories)
+    cpu_name = get(system_info, "cpu_name", "Unknown CPU")
+    os_name = get(system_info, "os", "Unknown OS")
+    
+    template = """
+Subject: LinearSolve.jl Benchmark Results - $cpu_name on $os_name
+
+Dear LinearSolve.jl Maintainers,
+
+I've run the autotune benchmarks and would like to share the results with the community.
+
+$content
+
+---
+
+Technical Details:
+- Submitted via: LinearSolveAutotune.jl token-free sharing
+- Timestamp: $(Dates.now())
+- System: $cpu_name on $os_name
+
+Please feel free to include this data in the community benchmark database.
+
+Best regards,
+A LinearSolve.jl User
+
+---
+Generated automatically by LinearSolve.jl autotune system
+"""
+    return template
+end
+
+"""
+    create_discord_format(content, system_info)
+
+Create a Discord/Slack-friendly format for community sharing.
+"""
+function create_discord_format(content, system_info)
+    cpu_name = get(system_info, "cpu_name", "Unknown CPU")
+    
+    # Extract key performance numbers from content
+    lines = split(content, "\n")
+    summary_lines = String[]
+    
+    for line in lines
+        if contains(line, "GFLOPs") || contains(line, "Best algorithm") || contains(line, "CPU:") || contains(line, "OS:")
+            push!(summary_lines, line)
+        end
+    end
+    
+    discord_content = """
+🚀 **LinearSolve.jl Benchmark Results** 🚀
+
+**System**: $cpu_name
+**Timestamp**: $(Dates.format(Dates.now(), "yyyy-mm-dd HH:MM"))
+
+**Key Results**:
+$(join(summary_lines, "\n"))
+
+```
+$content
+```
+
+*Generated by LinearSolveAutotune.jl - helping optimize LinearSolve for everyone! 🤖*
+
+#LinearSolve #Julia #Benchmarks
+"""
+    return discord_content
+end
+
+"""
+    create_http_post_command(content, system_info)
+
+Create an HTTP POST command for future submission endpoints.
+"""
+function create_http_post_command(content, system_info)
+    # Create a simple curl command for future HTTP submission endpoint
+    timestamp = replace(string(Dates.now()), ":" => "-")
+    
+    command = """#!/bin/bash
+# LinearSolve.jl Benchmark Submission Script
+# Generated on $(Dates.now())
+
+echo "Submitting LinearSolve.jl benchmark results..."
+
+# Note: Update the endpoint URL when available
+ENDPOINT="https://api.sciml.ai/linearsolve/benchmarks"  # Placeholder endpoint
+
+# Create temporary JSON file
+cat > benchmark_data.json << 'EOF'
+{
+  "timestamp": "$(Dates.now())",  
+  "system_info": $(JSON.json(system_info)),
+  "benchmark_results": $(JSON.json(content))
+}
+EOF
+
+# Submit via HTTP POST (uncomment when endpoint is ready)
+# curl -X POST "\$ENDPOINT" \\
+#      -H "Content-Type: application/json" \\
+#      -d @benchmark_data.json
+
+echo "✅ Benchmark data prepared for submission"
+echo "📁 Data saved to benchmark_data.json"
+echo "🌐 Submit when HTTP endpoint becomes available"
+
+# Clean up
+# rm benchmark_data.json
+"""
+    return command
+end
+
 """
     create_benchmark_issue(target_repo, fallback_repo, content, auth, system_info)