Send Claude Code tasks to the Batch API at 50% off
CLI ToolFreeHey HN. I built this because my Anthropic API bills were getting out of hand (spoiler: they remain high even with this, batch is not a magic bullet).I use Claude Code daily for software design and infra work (terraform, code reviews, docs). Many Terminal tabs, many questions. I realised some questio
Capabilities6 decomposed
batch-task-submission-to-anthropic-api
Medium confidenceAccepts Claude Code tasks (code generation, analysis, or transformation requests) and submits them to Anthropic's Batch API endpoint instead of the standard synchronous API. The toolkit handles request formatting, batching logic, and polling for asynchronous completion, abstracting away the complexity of batch job lifecycle management while maintaining full compatibility with Claude's code capabilities.
Specifically targets Anthropic's Batch API for code tasks with a CLI-first interface, abstracting batch job lifecycle (submission, polling, result retrieval) into simple command-line operations rather than requiring developers to implement batch orchestration manually
Achieves 50% cost reduction vs. standard Claude API calls by leveraging Anthropic's batch pricing tier, with simpler CLI integration than building custom batch orchestration on top of raw API calls
task-queue-accumulation-and-batching
Medium confidenceProvides a local task queue mechanism that accumulates code tasks (with metadata like priority, timeout, and context) before submitting them as a single batch request to Anthropic. The toolkit manages queue persistence, deduplication, and batching thresholds, allowing developers to queue tasks incrementally and trigger batch submission when ready or on a schedule.
Implements a lightweight local task queue with automatic batching thresholds and deduplication, designed specifically for code tasks with metadata preservation (priority, context window size, model variant) rather than generic job queuing
Simpler than deploying a full message queue (Redis, RabbitMQ) for small-to-medium batch workloads, while still providing persistence and deduplication that naive sequential submission lacks
batch-job-status-polling-and-result-retrieval
Medium confidenceImplements asynchronous polling logic that monitors submitted batch jobs via Anthropic's Batch API status endpoint, retrieving results as jobs complete. The toolkit handles exponential backoff, timeout management, and result parsing, converting raw batch API responses into structured output that maps results back to original task requests with error handling and partial completion support.
Implements task-aware result mapping that correlates batch API responses back to original code task requests using request IDs, enabling developers to track which code generation output corresponds to which input without manual correlation
Handles polling complexity and result parsing automatically, reducing boilerplate compared to raw Anthropic API usage; includes exponential backoff and timeout management that naive polling loops lack
cost-calculation-and-batch-pricing-transparency
Medium confidenceCalculates and displays the cost savings achieved by using Anthropic's Batch API (50% discount vs. standard pricing) for submitted code tasks. The toolkit tracks token usage per task, aggregates costs, and provides breakdowns showing standard API cost vs. batch API cost, enabling developers to quantify savings and make cost-benefit decisions about batch vs. real-time processing.
Provides real-time cost comparison between batch and standard API pricing for code tasks, with per-task attribution and aggregate reporting, rather than just displaying final batch costs
Makes the 50% batch discount concrete and quantifiable for developers, enabling data-driven decisions about when batch processing is worth the latency trade-off vs. alternatives like caching or model downgrading
cli-interface-for-batch-task-management
Medium confidenceExposes batch operations (submit, status, retrieve, cancel) through a command-line interface with subcommands, flags, and structured output formats (JSON, table, human-readable). The CLI parses task definitions from files or stdin, manages authentication via environment variables or config files, and provides progress indicators and error messages suitable for both interactive use and scripting.
Provides a purpose-built CLI for Anthropic Batch API operations with task-aware subcommands (submit, status, retrieve, cancel) and structured output, rather than requiring developers to use generic curl/API client tools
Simpler than writing custom Python/Node.js scripts for batch operations; more discoverable than raw API documentation through built-in help and examples
task-definition-schema-validation
Medium confidenceValidates code task definitions against a JSON schema before submission to Anthropic's Batch API, checking required fields (prompt, model), optional fields (context, timeout, priority), and data types. Validation occurs locally before API submission, providing immediate feedback on malformed tasks and preventing failed batch submissions due to schema errors.
Implements task-specific schema validation tailored to Anthropic's Batch API requirements, validating not just JSON structure but also semantic constraints like model availability and token limits
Catches batch submission errors before API calls, reducing wasted quota and latency compared to discovering schema errors after batch processing completes
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓teams running bulk code generation or analysis workloads with flexible timelines
- ✓developers building cost-optimized CI/CD pipelines for automated code tasks
- ✓organizations processing large codebases for refactoring or linting at scale
- ✓developers building background job systems for code generation
- ✓teams with scheduled batch processing windows (e.g., nightly code analysis runs)
- ✓applications needing to buffer code requests during rate-limit periods
- ✓background workers polling for batch completion in long-running services
- ✓CLI tools that need to display batch status and retrieve results on-demand
Known Limitations
- ⚠Batch API introduces up to 24-hour latency — unsuitable for real-time interactive code assistance
- ⚠Requires accumulating tasks before submission; no per-request batching for single-shot operations
- ⚠No built-in retry logic for failed batch jobs — requires manual intervention or external orchestration
- ⚠Limited to Anthropic's Batch API rate limits and quota allocation per account
- ⚠Local queue storage adds disk I/O overhead; no built-in distributed queue support for multi-process scenarios
- ⚠Deduplication logic is hash-based and may miss semantically equivalent but syntactically different tasks
Requirements
Input / Output
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