{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-code-interpreter-sdk","slug":"code-interpreter-sdk","name":"Code Interpreter SDK","type":"framework","url":"https://e2b.dev/docs?ref=awesome-sdk","page_url":"https://unfragile.ai/code-interpreter-sdk","categories":["automation"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-code-interpreter-sdk__cap_0","uri":"capability://automation.workflow.sandboxed.python.code.execution.with.isolated.runtime","name":"sandboxed python code execution with isolated runtime","description":"Executes arbitrary Python code in a containerized, isolated sandbox environment that prevents code from accessing the host system or other sandboxes. Uses cloud-hosted microVMs or containers with resource limits (CPU, memory, disk) and automatic cleanup, enabling safe execution of untrusted or user-generated code without security risks to the parent application.","intents":["Run user-submitted Python scripts safely without exposing my infrastructure","Execute data analysis or ML code in isolation and capture results","Build an AI agent that can write and run its own code to solve problems","Allow end-users to execute custom computations without deploying their own infrastructure"],"best_for":["AI agents and LLM applications that need code execution capabilities","SaaS platforms offering user-defined computation features","Data science and analytics platforms with untrusted user code","Notebook-as-a-service or interactive computing platforms"],"limitations":["Network access is restricted or requires explicit allowlisting; cannot make arbitrary HTTP requests by default","Execution timeout typically 30-60 seconds per invocation; long-running computations may fail","File system is ephemeral; data persists only during single execution session","No GPU access in standard tier; requires premium for hardware acceleration","Cold start latency of 1-3 seconds for new sandbox instances"],"requires":["E2B API key for authentication","Python 3.8+ installed locally for SDK usage","Network connectivity to E2B cloud infrastructure","Valid credit card or subscription for usage-based billing"],"input_types":["Python code (string or file)","Command-line arguments","Environment variables","File uploads (via filesystem mount)"],"output_types":["stdout/stderr streams","Return values (JSON-serializable)","Generated files","Execution metadata (runtime, exit code)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_1","uri":"capability://automation.workflow.multi.language.code.execution.with.language.specific.runtimes","name":"multi-language code execution with language-specific runtimes","description":"Extends sandboxed execution beyond Python to support JavaScript/Node.js, Bash, and other languages by provisioning language-specific runtime environments within the sandbox. Each language gets its own pre-configured interpreter with common libraries and package managers (npm, pip, apt) available, enabling polyglot code execution in a single API call.","intents":["Execute JavaScript/Node.js code from an AI agent without switching services","Run shell scripts or system commands in a controlled environment","Support mixed-language workflows (Python for ML, JavaScript for data transformation)","Allow users to write code in their preferred language without backend constraints"],"best_for":["Polyglot AI agents that need to choose the best language for each task","Full-stack platforms supporting multiple programming languages","DevOps or infrastructure automation tools requiring shell execution"],"limitations":["Language support is limited to pre-configured runtimes; custom languages require custom images","Inter-language communication requires serialization (JSON, files); no direct memory sharing","Package installation (npm install, pip install) adds 2-5 seconds per execution","Some system utilities may be unavailable in minimal sandbox images"],"requires":["E2B API key","Knowledge of target language syntax and semantics","For Node.js: package.json or inline require() statements","For Bash: shell scripting knowledge"],"input_types":["Code strings in Python, JavaScript, Bash, or other supported languages","Package requirements (package.json, requirements.txt)","Command-line arguments and environment variables"],"output_types":["stdout/stderr in language-native format","Exit codes and execution status","Language-specific return values (JSON, objects, primitives)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_10","uri":"capability://tool.use.integration.sdk.based.api.with.language.specific.bindings","name":"sdk-based api with language-specific bindings","description":"Provides official SDKs for Python, JavaScript/TypeScript, and other languages that wrap the underlying HTTP/gRPC API with language-native abstractions. SDKs handle authentication, error handling, request serialization, and streaming, providing a developer-friendly interface that feels native to each language while maintaining consistent behavior across SDKs.","intents":["Integrate Code Interpreter into Python or Node.js applications without managing HTTP requests","Use language-native async/await patterns for non-blocking execution","Leverage type hints and IDE autocomplete for SDK methods","Handle errors and retries automatically without boilerplate code"],"best_for":["Python and JavaScript/TypeScript developers building AI applications","Teams using modern async frameworks (asyncio, Node.js, etc.)","Projects requiring type safety and IDE support","Rapid prototyping and development workflows"],"limitations":["SDK support is limited to Python and JavaScript; other languages require direct HTTP API calls","SDK versions may lag behind API updates; breaking changes require SDK updates","Type hints are optional in Python; runtime type checking is not enforced","Async support in Python SDK requires Python 3.7+; older versions require synchronous calls"],"requires":["Python 3.8+ (for Python SDK) or Node.js 14+ (for JavaScript SDK)","E2B API key","SDK installation via pip or npm"],"input_types":["Code to execute (Python or JavaScript strings)","Configuration parameters (timeouts, resource limits, etc.)"],"output_types":["Execution results (stdout, return values, files)","Exceptions and error messages","Metadata (execution duration, resource usage)"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_11","uri":"capability://safety.moderation.error.handling.and.execution.failure.recovery","name":"error handling and execution failure recovery","description":"Captures and reports execution errors including syntax errors, runtime exceptions, timeouts, and resource limit violations with detailed error messages and stack traces. Errors are returned to the caller with structured metadata enabling programmatic error handling and recovery strategies (e.g., retry with different parameters, fallback execution).","intents":["Distinguish between different failure modes (syntax error vs timeout vs out-of-memory) for appropriate recovery","Log detailed error information for debugging and monitoring","Implement retry logic with exponential backoff for transient failures","Build AI agents that can adapt execution strategies based on error types"],"best_for":["Robust applications requiring detailed error diagnostics","AI agents with adaptive execution and error recovery","Monitoring and observability systems tracking execution failures","Development and debugging workflows"],"limitations":["Stack traces may be truncated for very deep call stacks (>100 frames)","Error messages are limited to 10 KB; very large error outputs are truncated","Some system-level errors (e.g., OOM killer) may not produce detailed error messages","Error categorization is not standardized; error types vary by language and runtime"],"requires":["E2B API key","Error handling code in the calling application","Understanding of different error types and recovery strategies"],"input_types":["Code to execute","Error handling parameters (e.g., retry count, timeout)"],"output_types":["Error type (SyntaxError, RuntimeError, TimeoutError, etc.)","Error message (human-readable description)","Stack trace (if available)","Exit code (non-zero for errors)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_2","uri":"capability://data.processing.analysis.filesystem.access.and.file.i.o.within.sandbox","name":"filesystem access and file i/o within sandbox","description":"Provides a mounted filesystem within the sandbox where code can read, write, and manipulate files using standard language APIs (open(), fs.readFile(), etc.). Files are isolated per sandbox instance and can be uploaded before execution or generated during execution, with support for directory traversal and file streaming to handle large datasets.","intents":["Process uploaded CSV or JSON files and return transformed results","Generate reports, visualizations, or artifacts that the AI agent creates","Work with multi-file projects (e.g., Python packages with multiple modules)","Cache intermediate results across multiple code executions in the same sandbox"],"best_for":["Data processing and ETL workflows","Document generation and report creation","File-based data analysis and transformation","AI agents that need to manage artifacts and intermediate outputs"],"limitations":["Filesystem is ephemeral; files are deleted when sandbox terminates (typically after 30 minutes of inactivity)","Total storage per sandbox is limited (typically 1-10 GB depending on tier)","File upload/download bandwidth is metered; large files (>100 MB) may incur additional latency","No built-in file versioning or backup; overwrites are permanent within session"],"requires":["E2B API key","SDK method to upload files before execution or within code","Sufficient storage quota in subscription tier"],"input_types":["File uploads (binary or text)","File paths (relative to sandbox root)","Directory structures"],"output_types":["Generated files (downloadable via SDK)","File metadata (size, modification time)","Directory listings"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_3","uri":"capability://automation.workflow.real.time.output.streaming.and.interactive.execution","name":"real-time output streaming and interactive execution","description":"Streams stdout/stderr output in real-time as code executes, enabling interactive feedback loops where the calling application can monitor progress, capture intermediate results, or terminate execution early. Uses WebSocket or HTTP streaming to deliver output chunks as they are generated, rather than buffering until completion.","intents":["Display live progress updates to users while code is running","Capture and log execution output for debugging and auditing","Implement interactive REPL-like experiences where users see results immediately","Build AI agents that can observe code output and adapt behavior mid-execution"],"best_for":["Interactive web applications and notebooks","AI agents with adaptive execution strategies","Real-time monitoring and observability dashboards","Long-running computations where users need progress feedback"],"limitations":["Streaming adds latency overhead compared to batch execution; not suitable for sub-100ms latency requirements","WebSocket connections require persistent network; mobile networks may disconnect","Output buffering in the SDK may delay very small output chunks by 100-500ms","No built-in output filtering; sensitive data in stdout is visible to all stream subscribers"],"requires":["E2B API key with streaming support enabled","SDK version 1.5+ with streaming methods","Network connection capable of maintaining persistent connections"],"input_types":["Code to execute","Stream subscription parameters (e.g., filter by output type)"],"output_types":["Real-time stdout/stderr chunks","Execution status updates","Completion signals with final exit code"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_4","uri":"capability://safety.moderation.environment.variable.and.secret.injection","name":"environment variable and secret injection","description":"Allows passing environment variables and secrets into the sandbox at execution time, with support for masking sensitive values in logs and output. Variables are injected into the process environment before code execution, making them accessible via standard language APIs (os.environ in Python, process.env in Node.js) without exposing them in code or logs.","intents":["Pass API keys or credentials to code without hardcoding them","Configure runtime behavior (e.g., debug mode, feature flags) per execution","Inject user-specific context (e.g., user ID, tenant ID) for multi-tenant scenarios","Manage secrets securely without storing them in code repositories"],"best_for":["Applications handling sensitive credentials or API keys","Multi-tenant platforms with per-user configuration","AI agents that need to access external APIs with user-provided credentials","DevOps automation requiring environment-specific configuration"],"limitations":["Secrets are visible in memory to the executing code; no additional encryption within the sandbox","Environment variables are logged in execution metadata; masking is not guaranteed in all contexts","No built-in secret rotation; credentials must be refreshed by the caller","Large environment variable payloads (>1 MB) may cause performance degradation"],"requires":["E2B API key","SDK method to pass environment variables at execution time","Secrets management system on the caller's side (e.g., HashiCorp Vault, AWS Secrets Manager)"],"input_types":["Key-value pairs (environment variables)","Sensitive strings (API keys, tokens, passwords)"],"output_types":["Confirmation of injection (no output of values themselves)","Execution results using injected secrets"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_5","uri":"capability://safety.moderation.timeout.and.resource.limit.enforcement","name":"timeout and resource limit enforcement","description":"Enforces hard limits on execution time, CPU usage, memory consumption, and disk I/O to prevent resource exhaustion and runaway processes. Limits are configured per execution or per sandbox instance and are enforced by the underlying container runtime, with automatic termination of processes that exceed thresholds.","intents":["Prevent infinite loops or long-running code from consuming resources indefinitely","Ensure fair resource allocation in multi-tenant environments","Protect against denial-of-service attacks via resource exhaustion","Set predictable cost and performance boundaries for code execution"],"best_for":["Multi-tenant SaaS platforms with shared infrastructure","AI agents executing untrusted or user-generated code","Cost-sensitive applications with strict resource budgets","Real-time systems requiring predictable latency"],"limitations":["Timeout enforcement has 1-2 second granularity; sub-second timeouts are not supported","Memory limits are enforced at the process level; memory leaks in native libraries may not be caught immediately","CPU limits are soft (throttling) rather than hard (termination); CPU-bound code may exceed limits temporarily","Disk I/O limits are not granularly configurable; only total disk space is limited"],"requires":["E2B API key","Timeout value in seconds (typically 10-300 seconds)","Memory limit in MB (typically 256-4096 MB depending on tier)"],"input_types":["Timeout duration (seconds)","Memory limit (MB)","CPU limit (cores or percentage)"],"output_types":["Execution status (success, timeout, out-of-memory)","Resource usage metrics (actual CPU, memory, disk used)","Termination reason if limits exceeded"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_6","uri":"capability://automation.workflow.session.based.sandbox.lifecycle.management","name":"session-based sandbox lifecycle management","description":"Manages sandbox instances with explicit lifecycle: creation, reuse across multiple executions, and termination. A single sandbox session can execute multiple code snippets sequentially, with state (variables, imports, file system) persisting between executions unless explicitly cleared. Sessions are identified by unique IDs and can be resumed or terminated via API calls.","intents":["Build interactive REPL-like experiences where code state persists across commands","Reduce startup latency by reusing warm sandbox instances for multiple operations","Maintain execution context (imported libraries, defined functions) across related code runs","Implement stateful AI agents that accumulate knowledge across multiple code executions"],"best_for":["Interactive notebooks and REPL environments","Stateful AI agents with multi-step reasoning","Data analysis workflows with sequential transformations","Development and debugging scenarios requiring persistent context"],"limitations":["Session state is not shared across multiple sandbox instances; horizontal scaling requires session affinity","Sandbox instances are terminated after 30 minutes of inactivity; long-lived sessions may lose state","Memory usage accumulates across executions; no automatic garbage collection between runs","Concurrent executions within a single session are serialized; true parallelism requires multiple sessions"],"requires":["E2B API key","Session ID management on the caller's side (store and reuse session IDs)","Understanding of sandbox lifecycle and cleanup requirements"],"input_types":["Session creation parameters (optional: custom image, resource limits)","Code to execute within session","Session ID for resuming existing sessions"],"output_types":["Session ID (for future reuse)","Execution results with persistent state","Session metadata (creation time, last activity, resource usage)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_7","uri":"capability://automation.workflow.custom.docker.image.support.for.specialized.runtimes","name":"custom docker image support for specialized runtimes","description":"Allows users to provide custom Docker images as the base for sandbox instances, enabling installation of arbitrary dependencies, system libraries, or specialized tools not available in default images. Custom images are built once and cached, then instantiated as sandboxes with the same isolation and resource limits as default images.","intents":["Use specialized tools or libraries not included in default runtimes (e.g., CUDA for GPU, specific system packages)","Ensure reproducible execution environments by pinning dependency versions in Docker images","Integrate with existing Docker-based development workflows and CI/CD pipelines","Deploy custom AI models or compiled binaries within the sandbox"],"best_for":["Data science and ML teams with complex dependency chains","Organizations with existing Docker-based infrastructure","Applications requiring specialized system tools or libraries","Teams needing reproducible, version-controlled execution environments"],"limitations":["Custom image build and push to E2B registry adds 2-5 minutes per image update","Image size is limited (typically 5-10 GB); large images may exceed storage quotas","No built-in image versioning; overwriting images can break existing code","Custom images bypass some default security hardening; users are responsible for security","GPU support in custom images requires premium tier and explicit configuration"],"requires":["E2B API key with custom image support enabled","Docker installed locally for building images","Dockerfile defining the custom environment","E2B CLI or API to push custom images to the registry"],"input_types":["Dockerfile (text)","Docker image (built locally or in CI/CD)","Image name and tag for reference"],"output_types":["Image registry URL","Confirmation of successful push","Sandbox instances using the custom image"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_8","uri":"capability://safety.moderation.network.access.control.and.http.request.handling","name":"network access control and http request handling","description":"Manages outbound network access from sandboxes with configurable allowlisting or blocklisting of domains/IPs. Code within the sandbox can make HTTP requests to allowed endpoints using standard libraries (requests in Python, fetch in Node.js), with automatic handling of SSL/TLS certificates and proxy configuration. Inbound network access is disabled by default.","intents":["Allow code to call external APIs (e.g., OpenAI, weather services) from within the sandbox","Prevent code from exfiltrating data or accessing internal services","Implement API rate limiting or request logging for external calls","Support multi-tenant scenarios where different users have different network access policies"],"best_for":["AI agents that need to call external APIs or webhooks","Data integration workflows fetching data from external sources","Multi-tenant platforms with per-user network policies","Security-conscious applications requiring network isolation"],"limitations":["Network allowlisting is coarse-grained (domain-level); fine-grained URL path filtering is not supported","DNS resolution is cached; DNS-based blocking may not be real-time","No built-in request logging or monitoring; users must implement their own logging","Outbound bandwidth is metered; high-volume data transfers may incur additional costs","SSL/TLS certificate validation cannot be disabled; self-signed certificates will fail"],"requires":["E2B API key","Network allowlist configuration (list of domains/IPs)","Code using standard HTTP libraries (requests, fetch, curl, etc.)"],"input_types":["Network policy (allowlist or blocklist)","Domain names or IP addresses","HTTP request code within sandbox"],"output_types":["HTTP response (status code, headers, body)","Network error messages if access is denied","Request/response metadata (latency, size)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-code-interpreter-sdk__cap_9","uri":"capability://data.processing.analysis.execution.metadata.and.performance.monitoring","name":"execution metadata and performance monitoring","description":"Captures detailed metadata about each code execution including runtime duration, CPU/memory/disk usage, exit code, and resource limit violations. Metrics are collected by the container runtime and returned to the caller, enabling performance analysis, cost tracking, and debugging. Metrics are available both during execution (streaming) and after completion.","intents":["Monitor resource usage to optimize code and reduce costs","Debug performance issues by identifying CPU-bound or memory-intensive operations","Track execution metrics for billing and usage analytics","Implement adaptive execution strategies based on observed resource consumption"],"best_for":["Cost-conscious applications tracking resource usage per execution","Performance-critical systems requiring detailed profiling data","Multi-tenant platforms billing users based on resource consumption","AI agents with adaptive execution strategies"],"limitations":["Metrics are sampled at 1-second intervals; sub-second performance variations are not captured","Memory metrics reflect peak usage, not average; memory churn is not visible","CPU metrics are reported as percentage of allocated cores; absolute CPU time is not available","Disk I/O metrics are limited to total bytes read/written; per-file or per-operation metrics are not available"],"requires":["E2B API key","SDK version with metrics support","Metrics collection enabled in execution parameters"],"input_types":["Code to execute","Metrics collection parameters (e.g., sampling interval)"],"output_types":["Execution duration (milliseconds)","Peak memory usage (MB)","CPU usage (percentage of allocated cores)","Disk usage (MB)","Exit code and status","Resource limit violations (if any)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["E2B API key for authentication","Python 3.8+ installed locally for SDK usage","Network connectivity to E2B cloud infrastructure","Valid credit card or subscription for usage-based billing","E2B API key","Knowledge of target language syntax and semantics","For Node.js: package.json or inline require() statements","For Bash: shell scripting knowledge","Python 3.8+ (for Python SDK) or Node.js 14+ (for JavaScript SDK)","SDK installation via pip or npm"],"failure_modes":["Network access is restricted or requires explicit allowlisting; cannot make arbitrary HTTP requests by default","Execution timeout typically 30-60 seconds per invocation; long-running computations may fail","File system is ephemeral; data persists only during single execution session","No GPU access in standard tier; requires premium for hardware acceleration","Cold start latency of 1-3 seconds for new sandbox instances","Language support is limited to pre-configured runtimes; custom languages require custom images","Inter-language communication requires serialization (JSON, files); no direct memory sharing","Package installation (npm install, pip install) adds 2-5 seconds per execution","Some system utilities may be unavailable in minimal sandbox images","SDK support is limited to Python and JavaScript; other languages require direct HTTP API calls","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.371Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=code-interpreter-sdk","compare_url":"https://unfragile.ai/compare?artifact=code-interpreter-sdk"}},"signature":"nRkDwyfmJBIQrYvDXq6oMUVg64mBd+LJ1Rv83JuvedyXyJl8nNq4FXQGUls6ZqkS5gwFENC5OtGZv/tiYQM8AA==","signedAt":"2026-06-20T14:50:23.207Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/code-interpreter-sdk","artifact":"https://unfragile.ai/code-interpreter-sdk","verify":"https://unfragile.ai/api/v1/verify?slug=code-interpreter-sdk","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}