{ "session_id": "20260515_111031_a26e2d", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "discord", "session_start": "2026-05-15T11:10:31.831411", "last_updated": "2026-05-15T11:13:14.187853", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\nHost: Linux (6.17.0-1011-oracle)\nUser home directory: /home/ubuntu\nCurrent working directory: /home/ubuntu/.hermes/hermes-agent\n\nYou are in a Discord server or group chat communicating with your user. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) are sent as photo attachments, audio as file attachments. You can also include image URLs in markdown format ![alt](url) and they will be sent as attachments.\n\nConversation started: Friday, May 15, 2026 11:10 AM\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "mcp_context7_query_docs", "description": "Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.\n\nYou must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nDo not call this tool more than 3 times per question.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "libraryId": { "type": "string", "description": "Exact Context7-compatible library ID (e.g., '/mongodb/docs', '/vercel/next.js', '/supabase/supabase', '/vercel/next.js/v14.3.0-canary.87') retrieved from 'resolve-library-id' or directly from user query in the format '/org/project' or '/org/project/version'." }, "query": { "type": "string", "description": "The question or task you need help with. Be specific and include relevant details. Good: 'How to set up authentication with JWT in Express.js' or 'React useEffect cleanup function examples'. Bad: 'auth' or 'hooks'. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." } }, "required": [ "libraryId", "query" ] } } }, { "type": "function", "function": { "name": "mcp_context7_resolve_library_id", "description": "Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.\n\nYou MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nEach result includes:\n- Library ID: Context7-compatible identifier (format: /org/project)\n- Name: Library or package name\n- Description: Short summary\n- Code Snippets: Number of available code examples\n- Source Reputation: Authority indicator (High, Medium, Low, or Unknown)\n- Benchmark Score: Quality indicator (100 is the highest score)\n- Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version.\n\nFor best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case.\n\nSelection Process:\n1. Analyze the query to understand what library/package the user is looking for\n2. Return the most relevant match based on:\n- Name similarity to the query (exact matches prioritized)\n- Description relevance to the query's intent\n- Documentation coverage (prioritize libraries with higher Code Snippet counts)\n- Source reputation (consider libraries with High or Medium reputation more authoritative)\n- Benchmark Score: Quality indicator (100 is the highest score)\n\nResponse Format:\n- Return the selected library ID in a clearly marked section\n- Provide a brief explanation for why this library was chosen\n- If multiple good matches exist, acknowledge this but proceed with the most relevant one\n- If no good matches exist, clearly state this and suggest query refinements\n\nFor ambiguous queries, request clarification before proceeding with a best-guess match.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "description": "The question or task you need help with. This is used to rank library results by relevance to what the user is trying to accomplish. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." }, "libraryName": { "type": "string", "description": "Library name to search for and retrieve a Context7-compatible library ID. Use the official library name with proper punctuation — e.g., 'Next.js' instead of 'nextjs', 'Customer.io' instead of 'customerio', 'Three.js' instead of 'threejs'." } }, "required": [ "query", "libraryName" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "web_extract", "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.", "parameters": { "type": "object", "properties": { "urls": { "type": "array", "items": { "type": "string" }, "description": "List of URLs to extract content from (max 5 URLs per call)", "maxItems": 5 } }, "required": [ "urls" ] } } }, { "type": "function", "function": { "name": "web_search", "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"." }, "limit": { "type": "integer", "description": "Maximum number of results to return. Defaults to 5.", "minimum": 1, "maximum": 100, "default": 5 } }, "required": [ "query" ] } } } ], "message_count": 13, "messages": [ { "role": "user", "content": "Investigar cómo conectar Hermes Agent con apps de salud/nutrición/actividad para convertir a Pipo en un 'Very Personal Trainer'. Entregar un informe técnico por app: MacroFactor, MyFitnessPal, Fitbit, Google Health Connect, Google Fit, Cronometer, Hevy." }, { "role": "assistant", "content": "", "reasoning": "**Gathering research details**\n\nI need to research online, and it seems like I might need to create a report file afterward. I'm thinking about how to gather all the necessary information for this. There’s definitely a step involved in compiling the data to make sure everything is organized. I wonder what specific aspects I should focus on while doing this research to create a clear and effective report. Let's get started!", "finish_reason": "tool_calls", "reasoning_content": "**Gathering research details**\n\nI need to research online, and it seems like I might need to create a report file afterward. I'm thinking about how to gather all the necessary information for this. There’s definitely a step involved in compiling the data to make sure everything is organized. I wonder what specific aspects I should focus on while doing this research to create a clear and effective report. Let's get started!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBv8sEQXBeVfR2azb4ISKvmg3D21u9Da5mzUo4iqDkxiCkKF8epgj27DzNe5xRgEnRWfMuAxsL0ED9NRsYEspET7ZpDdaS4GlY__kQbBBpTwP8mfzc6kXJ0zohRHB19d4n0_V7-lPe_xPLFQjOSxdTILV5pxGpBFael7RMHv_6ue4ca09iWAJUbRwyYtWqPKzNokGJbJ3Vc7Y3F2RVZIKKPafKV2fFETpN4kAaSbcgEICrUFnjJ2Smw35nnUCMGnFZ5hCBB5P9xroN0UTCVNTv3VGqRishCMxCkFZDtn-Z37DkhvVnfc6ah-s3e5QqUcHha-fnFwG6u8JzL9GpVdd8prKq-UvgyH3SNPMdnyBxEwzFwF4Jl1eJ_XXg7EvzUcuEbmLTxtH7cec_PMiITQynxd8Dex2w14C-yhFfELlucVnIlacXO9_Rbz2ehXSDzBUr7mYOIHoZ4jDM6hMjZ05kOGGyOVjhgWLHCXN8Qa3uLkagYf92NzWFEJn5zYrfQumonU3TV6nkDE1sjk0Stk-yHpR08m3iOx1bWsLerzW77AuY4f3C7l-9GqOFG0SUPi6c4HMJsbEjwwi9f5UGGc_UNeY3JtyW8UbdharBX5uAtEEpZt4AlMg-DOhi1FBNFCg1GMiD80G2qdQw5rC0NvkAC5sGPbUZ_rzubhg3vpIffbN4DFHFj7KqUIT0h9bWjCx8_rachCIJz9EYIhxqJWMveht-j-VIqp1fmzDdVRvJciyNfIqCA18IzsEsQ7yBofyEb0wQIpNNrHg4rk7lRe48mAiQykQ4MvvU5uNUkKLb8Lb_bLvLRy1_vufyVGuZ3Ry40Swn1bA2EojixiwDFYzhzFJgOlMQ4GTS4V6WJomR1gKerc8pcx4-VFB0Df2UUSH0WIVa8dI1PTZP1T9X6M14Gx_vvJRNlgK3i5yYPzt1WN_bIvBEbXsTLykSjb7cFTANjA5CXbItWsXQUHL-Jwad6cPLwdDYPUq6JmZcpW4FSMzElUWJ0tdx08HT63Iu34RuIFz", "id": "rs_0020b09ab110d158016a06ff28dc008199b4a34b63bad809d5", "summary": [ { "type": "summary_text", "text": "**Gathering research details**\n\nI need to research online, and it seems like I might need to create a report file afterward. I'm thinking about how to gather all the necessary information for this. There’s definitely a step involved in compiling the data to make sure everything is organized. I wonder what specific aspects I should focus on while doing this research to create a clear and effective report. Let's get started!" } ] } ], "tool_calls": [ { "id": "call_EtulEylSjhnAvumEml9tRjJp", "call_id": "call_EtulEylSjhnAvumEml9tRjJp", "response_item_id": "fc_0020b09ab110d158016a06ff2c1a348199b9d1ab301e661123", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\":\"MacroFactor API reverse engineered Firestore github sjawhar macrofactor\",\"limit\":5}" } }, { "id": "call_mBjMyH5nUuVIA5CalO0PFAMI", "call_id": "call_mBjMyH5nUuVIA5CalO0PFAMI", "response_item_id": "fc_0020b09ab110d158016a06ff2c1a448199a08cdf805c91789e", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\":\"MyFitnessPal API OAuth2 myfitnesspalapi.com docs\",\"limit\":5}" } }, { "id": "call_7ABuLdhK3sidYoU9xdsaORNK", "call_id": "call_7ABuLdhK3sidYoU9xdsaORNK", "response_item_id": "fc_0020b09ab110d158016a06ff2c1a4c81998ccec7298fbdb7a3", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\":\"Fitbit Web API OAuth2 docs activity sleep weight nutrition\",\"limit\":5}" } }, { "id": "call_nUbJlZidjVVdlduntD1UJuK8", "call_id": "call_nUbJlZidjVVdlduntD1UJuK8", "response_item_id": "fc_0020b09ab110d158016a06ff2c1a5081998eb7423144e94929", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\":\"Google Health Connect Android API docs no cloud API\",\"limit\":5}" } }, { "id": "call_cQJA6xKGzvrEi9yqlCt5A9c0", "call_id": "call_cQJA6xKGzvrEi9yqlCt5A9c0", "response_item_id": "fc_0020b09ab110d158016a06ff2c1a5481999affdc08127e2a12", "type": "function", "function": { "name": "web_search", "arguments": "{\"query\":\"Google Fit REST API deprecated Health Connect migration docs\",\"limit\":5}" } } ] }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/sjawhar/macrofactor/blob/main/docs/api-reference.md\",\n \"title\": \"docs/api-reference.md at main · sjawhar/macrofactor\",\n \"description\": \"# File:\\n[...]\\n- Repository: sjawhar/macrofactor | CLI, MCP server, and SvelteKit web app for the MacroFactor nutrition and workout tracker | 14 stars | TypeScript\\n- Branch: main\\n[...]\\n```md\\n# MacroFactor API Reference\\n[...]\\nMacroFactor (by Stronger By Science) uses a shared Firebase backend for both its Nutrition and Workouts apps. This document details the reverse-engineered API schema based on the Firestore REST API.\\n[...]\\n## Architecture & Authentication\\n[...]\\n- **Firebase Project**: `sbs-diet-app`\\n- **Base URL**: `https://firestore.googleapis.com/v1/projects/sbs-diet-app/databases/(default)/documents`\\n- **Auth Endpoint**: `https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={API_KEY}`\\n- **Token Refresh**: `https://securetoken.googleapis.com/v1/token?key={API_KEY}`\\n[...]\\nThe API uses standard Firebase Identity Toolkit. Exchanging email/password yields an `idToken` (JWT) which must be passed as `Authorization: Bearer ` to Firestore endpoints. Both `com.sbs.diet` and `com.sbs.train` bundle IDs work.\\n[...]\\nMacroFactor uses a universal hex ID scheme for all reference data (exercises, muscles, equipment, metrics, etc.). IDs are 32-character hex strings containing `c6f170d880` (e.g., `1a35c6f170d880bebc64f4dce0d5f5f1`).\\n[...]\\nThe global reference collections (`exercises/`, `muscles/`, `equipment/`, etc.) exist in Firestore but are read-protected by Firebase App Check (returning 403).\\n[...]\\nHowever, the complete reference database is bundled within the workout app APK as `app_file.json`. This JSON contains a `uuidIndex` that acts as a universal dictionary, mapping all 4,170 hex IDs in the system to their human-readable names and types. Our TypeScript client resolves these locally.\",\n \"position\": 1\n },\n {\n \"url\": \"https://github.com/sjawhar/macrofactor\",\n \"title\": \"sjawhar/macrofactor\",\n \"description\": \"# Repository: sjawhar/macrofactor\\n[...]\\nCLI, MCP server, and SvelteKit web app for the MacroFactor nutrition and workout tracker\\n[...]\\n# MacroFactor CLI & API Client\\n[...]\\nA TypeScript client and CLI for interacting with MacroFactor programmatically — the nutrition and workout tracker by Stronger By Science.\\n[...]\\n> **This is not a replacement for MacroFactor.** You need an active MacroFactor subscription to use this. We love MacroFactor and the team behind it. This project exists because sometimes you want to interact with your own data without opening an app — batch-log meals from a script, update workout weights from a\\n[...]\\n, or build your own integrations on top of an already great product.\\n[...]\\n, food logs,\\n[...]\\n, and custom exercises\\n[...]\\n, and log\\n[...]\\n- **\\n[...]\\nthe MacroFactor food\\n[...]\\nvia Typesense)\\n-\\n[...]\\n32-\\n[...]\\nusing the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nAll numeric food entry values are stored as Firestore `stringValue` (not `integerValue`/`doubleValue`) to match the Android app's parser expectations. The client enforces this at the type level to prevent entries that would crash the app.\\n[...]\\nSee `docs/api-reference.md` for the full Firestore schema.\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that exposes the MacroFactor API as tools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\n## Project structure\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\\n[...]\\ndata/\\n exercises.json Bundled exercise/muscle/equipment database\\n[...]\\ndocs/\\n api-reference.md Full Firestore schema documentation\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/sjawhar/macrofactor/blob/main/README.md\",\n \"title\": \"README.md at main · sjawhar/macrofactor\",\n \"description\": \"- Repository: sjawhar/macrofactor | CLI, MCP server, and SvelteKit web app for the MacroFactor nutrition and workout tracker | 14 stars | TypeScript\\n- Branch: main\\n[...]\\n```md\\n# MacroFactor CLI & API Client\\n[...]\\nA TypeScript client and CLI for interacting with MacroFactor programmatically — the nutrition and workout tracker by Stronger By Science.\\n[...]\\n> **This is not a replacement for MacroFactor.** You need an active MacroFactor subscription to use this. We love MacroFactor and the team behind it. This project exists because sometimes you want to interact with your own data without opening an app — batch-log meals from a script, update workout weights from a spreadsheet, or build your own integrations on top of an already great product.\\n[...]\\n- **Read** your workout history, food logs, weight entries, nutrition summaries, gym profiles, and custom exercises\\n- **Write** food log entries, create new workouts, update existing workout sets, and log weight\\n- **Search** the MacroFactor food database (common foods + branded items via Typesense)\\n- **Resolve** the opaque 32-character hex IDs used for exercises, muscles, and equipment to human-readable names using the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nAll numeric food entry values are stored as Firestore `stringValue` (not `integerValue`/`doubleValue`) to match the Android app's parser expectations. The client enforces this at the type level to prevent entries that would crash the app.\\n[...]\\nSee `docs/api-reference.md` for the full Firestore schema.\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that\\n[...]\\nthe MacroFactor API\\n[...]\\ntools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\\n[...]\\ndata/\\n exercises.json Bundled exercise/muscle/equipment database\\n[...]\\ndocs/\\n api-reference.md Full Firestore schema documentation\",\n \"position\": 3\n },\n {\n \"url\": \"https://registry.npmjs.org/@sjawhar/macrofactor-mcp\",\n \"title\": \"@sjawhar/macrofactor-mcp\",\n \"description\": \"# @sjawhar/macrofactor-mcp\\n[...]\\nA TypeScript client and CLI for interacting with MacroFactor programmatically — the nutrition and workout tracker by Stronger By Science.\\n[...]\\nnpm i @sjawhar/macrofactor-mcp\\n[...]\\n- Repository: https://github.com/sjawhar/macrofactor\\n- Homepage: https://github.com/sjawhar/macrofactor#readme\\n- Weekly Downloads: 41\\n- Unpacked Size: 10.8MB\\n- Total Files: 9\\n- 2 Dependencies\\n- 8 Versions\\n[...]\\n# MacroFactor CLI & API Client\\n[...]\\nA TypeScript client and CLI for interacting with MacroFactor programmatically — the nutrition and workout tracker by Stronger By Science.\\n[...]\\n> **This is not a replacement for MacroFactor.** You need an active MacroFactor subscription to use this. We love MacroFactor and the team behind it. This project exists because sometimes you want to interact with your own data without opening an app — batch-log meals from a script, update workout weights from a spreadsheet, or build your own integrations on top of an already great product.\\n[...]\\n- **Read** your workout history, food logs, weight entries, nutrition summaries, gym profiles, and custom exercises\\n- **Write** food log entries, create new workouts, update existing workout sets, and log weight\\n- **Search** the MacroFactor food database (common foods + branded items via Typesense)\\n- **Resolve** the opaque 32-character hex IDs used for exercises, muscles, and equipment to human-readable names using the bundled reference database\\n[...]\\nThe MacroFactor app uses a Firebase/Firestore backend (`sbs-diet-app`). This client talks directly to the Firestore REST API using standard Firebase authentication.\\n[...]\\n- **User data** (workouts, food logs, weight, etc.) is read/write accessible via Firestore REST with a valid auth token\\n- **Reference data** (exercises, muscles, equipment) is locked behind Firebase App Check and returns 403 — this client resolves them locally using a bundled JSON database extracted from the app\\n- **Food search** uses MacroFactor's Typesense instance, which combines USDA common foods with a branded food database\\n[...]\\nAll numeric food entry values are stored as Firestore `stringValue` (not `integerValue`/`doubleValue`) to match the Android app's parser expectations. The client enforces this at the type level to prevent entries that would crash the app.\\n[...]\\nSee `docs/api-reference.md` for the full Firestore schema.\\n[...]\\n## MCP server\\n[...]\\nThis project includes an MCP (Model Context Protocol) server that exposes the MacroFactor API as tools for AI agents like Claude, Cursor, and Windsurf. Use it to integrate MacroFactor data and operations into your AI workflows.\\n[...]\\nThe MCP server exposes 28 tools for reading and writing MacroFactor data:\\n[...]\\nsrc/lib/api/\\n auth.ts Firebase auth (sign-in, token refresh)\\n client.ts MacroFactorClient class (all read/write methods)\\n firestore.ts Firestore REST helpers + food entry type safety\\n typesense.ts Food search via Typesense\\n exercises.ts Local exercise database resolver\\n types.ts Shared TypeScript types\\n workout-types.ts Workout-specific types\\n[...]\\ndata/\\n exercises.json Bundled exercise/muscle/equipment database\\n[...]\\ndocs/\\n api-reference.md Full Firestore schema documentation\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/sjawhar/macrofactor/issues/1\",\n \"title\": \"Support MACROFACTOR_AUTH_TOKEN as alternative to username/password · Issue #1 · sjawhar/macrofactor\",\n \"description\": \"# Issue: sjawhar/macrofactor #1\\n[...]\\n- Repository: sjawhar/macrofactor | CLI, MCP server, and SvelteKit web app for the MacroFactor nutrition and workout tracker | 14 stars | TypeScript\\n[...]\\n## Support MACROFACTOR_AUTH_TOKEN as alternative to username/password\\n[...]\\nSupport a `MACROFACTOR_AUTH_TOKEN` env var containing a Firebase refresh token as an alternative to `MACROFACTOR_USERNAME` + `MACROFACTOR_PASSWORD`.\\n[...]\\n- **Security**: No plaintext password in `.env` files\\n- **Hosted use**: Enables server deployments where users authenticate once and the server stores only the refresh token\\n- **Revocable**: Changing your MacroFactor password invalidates the token\\n[...]\\nThe auth flow already supports this — `refreshIdToken(refreshToken)` returns a fresh `idToken` without re-authenticating. Changes needed:\\n[...]\\n1. `MacroFactorClient.login()` accepts either `(email, password)` or `(refreshToken)`\\n2. CLI checks for `MACROFACTOR_AUTH_TOKEN` before falling back to username/password\\n3. `login` CLI command prints the refresh token so users can capture it\\n4. MCP server accepts the token via env var\\n[...]\\nFirebase refresh tokens are long-lived but can be invalidated by password changes or account actions.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_EtulEylSjhnAvumEml9tRjJp" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://myfitnesspalapi.com/docs/request-query-parameters/\",\n \"title\": \"MFP API - MyFitnessPal Developer - Request query parameters\",\n \"description\": \"MFP API - MyFitnessPal Developer - Request query parameters\\n[...]\\n# Authorization Code Grant\\n[...]\\nThis is the first step in the process, the granting of a single-use authorization code.\\n[...]\\n```\\nGET ​/oauth2/auth\\n\\n```\\n[...]\\n## Request Query Parameters\\n[...]\\n| Name | Description | Required |\\n| --- | --- | --- |\\n| response_type | Indicates the desired response type. Must be set to ​code​. | Y |\\n| client_id | Your app’s client id | Y |\\n| redirect_uri | The URL to redirect to when the user completes the authorization flow. This URL will receive the results of the authorization request as query parameters. | Y |\\n[...]\\n| scope | A space­delimited list of permission scopes requested by your app. Must be limited to scopes that have not previously been authorized. (See below for a list of scope.) | Y |\\n[...]\\n| state | An opaque string used to maintain state between requests. MyFitnessPal will include this string unchanged as a query parameter appended to ​redirect_uri​. Useful for protecting against Cross-site Request Forgery (CSRF) attacks. If used, it should be an arbitrary string unique to each authentication request. | N |\\n[...]\\nAvailable permission scopes:\\n[...]\\n```\\n ● measurements\\n ● diary\\n ● private­exercises \\n ● subscriptions\",\n \"position\": 1\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/auth-example-2/\",\n \"title\": \"MFP API - MyFitnessPal Developer - Example 2 - Requesting all available scopes\",\n \"description\": \"MFP API - MyFitnessPal Developer - Example 2 - Requesting all available scopes\\n[...]\\n# Example 2: Requesting all available scopes\\n[...]\\n```\\nhttp://api.myfitnesspal.com/v2/oauth2/auth\\n?client_id=​your_client_id\\n&response_type=code &scope=diary+measurements+private-exercises+subscriptions \\n&redirect_uri=http://your.domain.com/path/to/auth/complete/flow\\n\\n```\",\n \"position\": 2\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/partner-authentication/\",\n \"title\": \"MFP API - MyFitnessPal Developer - Partner Authentication\",\n \"description\": \"MFP API - MyFitnessPal Developer - Partner Authentication\\n[...]\\n# Partner Authentication\\n[...]\\nMyFitnessPal API partners are provided with two pieces of information used for authorizing and authenticating API requests: a “client id” and a “client secret”. The client id serves to uniquely identify a partner application. The client secret is used during the authentication process to ensure that the partner application is issuing API calls and not a third party that happens to guess the partner client id.\\n[...]\\nIn terms of security, the client id should be considered public, and the client secret private. Make sure that the client secret is securely protected. Never pass it in plaintext over the Internet. Do not be concerned about keeping the client id private.\",\n \"position\": 3\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/\",\n \"title\": \"Health, nutrition, and wellness - MyFitnessPal API\",\n \"description\": \"MFP API - MFP API\\n\\n# Health, nutrition, and wellness\\n\\nWe follow a RESTful approach to designing our APIs. Requests and responses use JSON in a familiar REST style. Clients use standard HTTP methods – POST, GET, PUT, DELETE, to update resources. You can get a quick overview of our APIs before you get started.\",\n \"position\": 4\n },\n {\n \"url\": \"https://myfitnesspalapi.com/docs/user-authentication/\",\n \"title\": \"MFP API - MyFitnessPal Developer - User Authorization\",\n \"description\": \"MFP API - MyFitnessPal Developer - User Authorization\\n\\n# User Authorization\\n\\nMyFitnessPal API user authorization is based on the OAuth 2.0 protocol. (See: http://oauth.net/2/​) In order to use the API to interact with a user’s MyFitnessPal account, these steps must be followed:\\n\\nObtain permission from the user to link their account to your application. To do this, create a link on your website to the Authorization Code Grant URL hosted by MyFitnessPal. When the user follows this link, they will be presented with the option to grant access to your application. (If they do not already have a session in MyFitnessPal, they will first be presented with a login form.)\\n\\nIf the user grants access to your application, the MyFitnessPal servers will redirect the user back to your site. Along with this redirect you will be passed an ​authorization code which represents the link between your application and the user.\\n\\nImmediately exchange the authorization code for an access token and a refresh token from MyFitnessPal. As part of this request, you will pass along your ​client id​ and ​client secret​, which serve to authenticate your application to the MyFitnessPal API. MyFitnessPal will provide you with the c​lient id​ and ​client secret​ when you set up your API account.\\n\\nThe provided access token represents a fully authenticated token that must be used to make API requests on behalf of the linked user account. Every API request must contain a valid access token. The access token will expire after a certain period. A client app may request a new access token at any time using the refresh token. The refresh token remains valid until revoked by either your application or the user.\\n\\nOnce a user has authorized your app to make requests to the MyFitnessPal API on their behalf, you may use the API methods documented below, including the access token with each request.\\n\\nEach step in this process is described in more detail in the following sections.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_mBjMyH5nUuVIA5CalO0PFAMI" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/oauth2\",\n \"title\": \"Authorization\",\n \"description\": \"Fitbit requires applications use the OAuth 2.0 Authorization Framework to securely authorize access to Fitbit user data. Fitbit recommends using the best OAuth 2.0 or HTTP client library available for your preferred application platform and programming language. Many times, these libraries contain sample code to help you get started. Fitbit’s Web API uses a common implementation of the OAuth 2.0 specification, so a Fitbit-specific library is not required. For a list of OAuth 2.0 libraries suggested by our developer community, see Libraries and Sample Code\\n[...]\\nUsing a web browser, the application calls the Authorize endpoint to display Fitbit's Authorization page to the user. If necessary, the user may need to log in with their Fitbit credentials.\\n[...]\\nThe required query parameters are:\\n[...]\\n- `response_type`: code\\n- `code_challenge_method`: S256\\n- `code_challenge`: The base64url-encoded SHA256 hash of the code verifier.\\n- `scope`: A space-delimited list of data collections requested by the application.\\n- `client_id`: The Fitbit API application ID from https://dev.fitbit.com/apps.\\n[...]\\n```\\nhttps://www.fitbit.com/oauth2/authorize?client_id=ABC123&response_type=code\\n&code_challenge=&code_challenge_method=S256\\n&scope=activity%20heartrate%20location%20nutrition%20oxygen_saturation%20profile\\n%20respiratory_rate%20settings%20sleep%20social%20temperature%20weight\\n```\\n[...]\\nThe application should extract the authorization code from the redirect URL and exchange it for the access token and refresh token. The tokens are obtained by calling the /oauth2/token endpoint and providing the following parameters within the body of the HTTPS POST request. See Token API for more information\\n[...]\\nrequired query parameters are:\\n[...]\\n- `grant_type`: authorization_code\\n- `code_verifier`: The code verifier value from step 1.\\n- `code`: The authorization code\\n- `client_id`: The Fitbit API application ID from https://dev.fitbit.com/apps.\\n[...]\\nServer application types must authenticate themselves using the client secret available in application settings.\\n[...]\\nof security to the OAuth 2.0 flow. However\\n[...]\\nshould only be used by applications that can\\n[...]\\nstore the client secret, such as apps running on a web server. Notably, the client secret should\\n[...]\\n- Receive the Access and\\n[...]\\nThe Token endpoint returns a JSON-encoded response that includes:\\n[...]\\n- The scopes the user enabled on the Fitbit Authorization page\\n- The lifespan of the access token in seconds\\n- The refresh token the application will use to obtain a new access and refresh token pair\\n- The access token used to query the user's data\\n- The user id of the person who authorized access\\n[...]\\n```\\n{\\n \\\"access_token\\\": \\\"\\\",\\n \\\"expires_in\\\": 28800,\\n \\\"refresh_token\\\": \\\"\\\",\\n \\\"scope\\\": \\\"activity heartrate nutrition oxygen_saturation respiratory_rate settings sleep temperature weight\\\",\\n \\\"token_type\\\": \\\"Bearer\\\",\\n \\\"user_id\\\": \\\"\\\"\\n}\\n\\n```\\n[...]\\n749,\\n[...]\\nis no longer\\n[...]\\n| access_token | The access token your application should use to call endpoints on behalf of the user. |\\n| --- | --- |\\n| expires_in | The lifetime of the access token in seconds. |\\n| scope | A space-separated list of scopes the user authorized. |\\n| staterecommeded | Provides any state that might be useful to your application when the user is redirected back to your application. This parameter will be added to the redirect URI exactly as your application specifies. Fitbit strongly recommend including an anti-forgery token in this parameter and confirming its value in the redirect to mitigate against cross-site request forgery (CSRF). |\\n| token_type | Supported: Bearer |\\n| user_id | The Fitbit user id |\\n[...]\\nDefined by RFC 6749, this authorization flow is used with specific Fitbit API endpoints related to business operations. It is not supported by the public Web APIs to retrieve Fitbit user data. See Client Credentials\",\n \"position\": 1\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/authorization\",\n \"title\": \"Authorization\",\n \"description\": \"The Authorization endpoints allow an application to onboard Fitbit users who want to share their data with the specified application. The application can initiate the consent flow for new users, obtain the access token and refresh tokens, validate the tokens, and revoke consent to the user.\\n[...]\\nFitbit supports OAuth 2.0. The authorization models we support are Authorization Code Grant Flow, Authorization Code Grant Flow with PKCE and Implicit Grant Flow. We recommend Authorization Code Grant Flow with PKCE, and our examples demonstrate how to set it up. Client Credentials is supported but does not allow the retrieval of user data. It works only with the Fitbit Commerce APIs.\\n[...]\\n- Authorize initiates the OAuth 2.0 authorization flow by presenting the consent screen to the Fitbit user.\\n[...]\\n- Client Credentials initiates the Client Credentials Grant flow. This authorization flow does not support retrieving Fitbit user data.\\n[...]\\n- Introspect allows the application to retrieve the active state of an OAuth 2.0 token.\\n[...]\\n- OAuth2 Token exchanges the authorization code for the initial access token and refresh token.\\n[...]\\n- Refresh Token creates a new access token and refresh token for a user when the existing access token has expired.\\n- Revoke Token disables a user's authorization and all associated tokens.\",\n \"position\": 2\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/nutrition\",\n \"title\": \"Nutrition\",\n \"description\": \"The Nutrition endpoints are used for querying and modifying the food and water data.\\n\\nThe endpoints available in this section are\\n[...]\\n- Create Food Goal creates or updates a user's daily calorie consumption or food plan goal.\\n[...]\\n- Create Water Goal creates or updates a user's daily water consumption goal.\\n[...]\\n- Create Water Log creates a water log entry for the user.\\n[...]\\n- Get Food retrieves details of a specific food stored in the Fitbit foods database or a private food the user has created.\\n[...]\\n- Get Food Goals retrieves the user's daily calorie consumption goal and/or food plan.\\n[...]\\n- Get Food Log retrieves a summary of all the user's food log entries for a given day.\\n[...]\\n- Get Meals\\n[...]\\n- Get Water Goal retrieves the user's daily water consumption goal.\\n[...]\\n- Get Water Log retrieves a list of the user's water entries and the daily summary.\\n[...]\\n- Search Foods retrieves a list of the public foods from the Fitbit foods database and the list of private foods the user has created.\\n[...]\\n- Update Food Log updates the quantity or calories consumed for a user's existing food entry\\n[...]\\n- Update Meal updates the contents of an existing meal.\\n- Update Water Log updates the quantity consumed for a user's existing water entry.\\n[...]\\nNutrition Time Series\",\n \"position\": 3\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/developer-guide\",\n \"title\": \"Developer Guide\",\n \"description\": \"The Fitbit Web API Developer Guide is intended to help a developer get started using the the Web API, along with providing additional content on implementing the endpoints. Anyone may use the Web API to build integrations with the Fitbit data services, so long as their application complies with:\\n[...]\\n- the Fitbit Platform Terms of Service, Fitbit User Data and Developer Policy, and the Fitbit user consents to share their data with the developer’s application for access to Fitbit user data, and\\n- the Fitbit Platform Terms of Service, the Google APIs Terms of Service, Google API Services User Data Policy, OAuth 2.0 Policies, Fitbit User Data and Developer Policy, and the Fitbit user consents to share their data with the developer's application for access to Google user data.\\n[...]\\n- Getting Started explains how to create a Fitbit developer account and register an application.\\n- Authorization steps you through implementing the Authorization Code Grant Flow with PKCE; the recommended authorization flow for requesting access to Fitbit user data.\\n[...]\\n- Libraries and Sample Code provides a list of OAuth2 libraries and sample code our developer community found and has successfully used.\",\n \"position\": 4\n },\n {\n \"url\": \"https://dev.fitbit.com/build/reference/web-api/activity\",\n \"title\": \"Activity\",\n \"description\": \"The Activity endpoints are used to query and/or modify a Fitbit user's daily activity data. The information returned is the step count, distance, elevation, floors, calories burned, active minutes, activity goals, exercise details, etc. The Activity endpoints support returning Intraday data (see Intraday).\\n\\nThe endpoints available in this section are\\n[...]\\n- Create Activity Goals creates or updates a user's daily or weekly activity goals.\\n[...]\\n- Get Activity Goals retrieves a user's daily or weekly activity goals.\\n[...]\\n- Get Activity Log List retrieves a list of the user's recorded activities, and the activity details.\\n[...]\\n- Get Activity TCX retrieves a record activity in TCX format.\\n[...]\\n- Get Activity Type retrieves the details for a single activity from the Fitbit activities database.\\n[...]\\n- Get All Activity Types retrieves the details for all activities from the Fitbit activities database.\\n[...]\\n- Get Daily Activity Summary retrieves a summary of the user's activity for a specific date.\\n[...]\\n- Get Lifetime Stats retrieves a user's activity statistics.\\n[...]\\n- Get Recent Activity Types retrieves a summary for the activities the user recorded, recently.\\n[...]\\n- Get Workout Summary retrieves the ground contact time and cadence for run workouts\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_7ABuLdhK3sidYoU9xdsaORNK" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developer.android.com/health-and-fitness/guides/health-connect/develop/get-started\",\n \"title\": \"Get started with Health Connect  |  Android health & fitness  |  Android Developers\",\n \"description\": \"> This guide is compatible with Health Connect version 1.1.0-alpha12.\\n[...]\\nThis guide shows you how you can begin using Health Connect on your app.\\n[...]\\nThe Health Connect app is responsible for handling all the requests that your\\napplication sends through the Health Connect SDK. These requests include storing\\ndata and managing its read and write access.\\n[...]\\nAccess to Health Connect depends on the Android version installed on the phone.\\nThe following sections outline how to handle several recent versions of Android.\\n[...]\\nStarting Android 14 (API Level 34), Health Connect is part of the\\nAndroid Framework. This version of Health Connect is a framework module. With\\nthat, there's no setup necessary.\\n[...]\\nOn Android 13 (API Level 33) and lower versions, Health Connect is not part of\\nthe Android Framework. With that, you need to install the\\nHealth Connect app from the Google Play Store.\\n[...]\\n## Step 2: Add the Health Connect SDK to your app\\n[...]\\nThe Health Connect SDK is responsible for using the Health Connect API to\\nsend requests in performing operations against the datastore in the Health\\nConnect app.\\n\\nAdd the Health Connect SDK dependency in your module-level `build.gradle` file:\\n[...]\\ndependencies {\\n...\\nimplementation \\\"androidx.health.connect:connect-client:1.2.0-alpha04\\\"\\n...\\n}\\n[...]\\n> [!NOTE]\\n> Note: The Health Connect SDK supports Android 8 (API level 26) or higher, while the Health Connect app is only compatible with Android 9 (API level 28) or higher. This means that third-party apps can support users with Android 8, but only users with Android 9 or higher can use Health Connect.\\n[...]\\n### Get a Health Connect client\\n[...]\\n`HealthConnectClient` is an entry point to the Health Connect API.\\nIt allows the app to use the datastore in the Health Connect app. It\\nautomatically manages its connection to the underlying storage layer and handles\\nall IPC and serialization of outgoing requests and incoming responses.\\n[...]\\nTo get a client instance, declare the Health Connect package name in your\\nAndroid manifest first.\\n[...]\\nThen in your Activity, check if Health Connect is installed\\nusing `getSdkStatus`. If it is, obtain a\\n`HealthConnectClient` instance.\\n[...]\\n## Step 4: Request permissions from the user\\n[...]\\nAfter creating a client instance, your app needs to request permissions from\\nthe user. Users must be allowed to grant or deny permissions at any time.\\n[...]\\nTo do so, create a set of permissions for the required data types.\\nMake sure that the permissions in the set are declared in your Android\\nmanifest first.\\n[...]\\nUse `getGrantedPermissions` to see if your app already has the\\nrequired permissions granted. If not, use\\n`createRequestPermissionResultContract` to request\\nthose permissions. This displays the Health Connect permissions screen.\\n[...]\\nMany apps have a custom\\n[...]\\nadd the\\n[...]\\nthe connection to your\\n[...]\\ndirectly from the Health\\nConnect app, rather than\\n[...]\\nIf your app\\n[...]\\nor write data,\\n[...]\\n### Read data\\n[...]\\nYou can read your data individually using `readRecords`.\\n[...]\\ncan read data\\n[...]\\n- Health Connect SDK (available on Jetpack): Include this SDK in your application to use the Health Connect API.\\n- API reference: Take a look at the Jetpack reference for the Health Connect API.\\n- Declare use of data types: In the Play Console, declare access to the Health Connect data types that your app reads from and writes to.\\n- Optional GitHub code sample and codelab: See the GitHub code sample repository and the codelab exercise to help you get started.\",\n \"position\": 1\n },\n {\n \"url\": \"https://android-dot-devsite-v2-prod.appspot.com/reference/android/health/connect/HealthConnectManager\",\n \"title\": \"HealthConnectManager  |  API reference  |  Android Developers\",\n \"description\": \"HealthConnectManager | API reference | Android Developers\\n[...]\\nThis class provides APIs to interact with the centralized HealthConnect storage maintained by the system.\\n[...]\\nHealthConnect is an offline, on-device storage that unifies data from multiple devices and apps into an ecosystem featuring.\\n[...]\\n- APIs to insert data of various types into the system.\\n[...]\\nThe basic unit of data in HealthConnect is represented as a Record object, which is the base class for all the other data types such as StepsRecord.\\n[...]\\n### Public methods\\n[...]\\nCreates an Intent to launch a Health Connect flow where users can:\\n[...]\\nInserts`records` into the HealthConnect database.\\n[...]\\nActivity action: Launch UI to manage (e.g. grant/revoke) health permissions.\\n[...]\\n### ACTION_REQUEST\\n[...]\\nin API level\\n[...]\\n34 Also in U Extensions\\n[...]\\nActivity action: Launch\\n[...]\\nexported by client application that handles\\n[...]\\nto Health Connect.\\n[...]\\nin API level 34 Also in\\n[...]\\n### EXTRA_EXERCISE_ROUTE\\n[...]\\nAdded in API level 34 Also in U Extensions 7\\n[...]\\n### EXTRA_SESSION_ID\\n[...]\\nin API level 34 Also in U Extensions 7\\n[...]\\n## Public methods\\n[...]\\n34 Also\\n[...]\\n34 Also\\n[...]\\n34 Also in U Extensions 7\\n[...]\\n### createMatchmakingIntent\\n[...]\\nCreates an Intent to launch a Health Connect flow where users can:\\n[...]\\ncalling app can read.\\n[...]\\nmissing permissions: Easily grant these discovered\\n[...]\\nthe necessary write permissions\\n[...]\\ntypes that haven't been granted yet. Only Record types the calling package is permitted to read are being considered.\\n[...]\\nThis flow helps users connect new data sources to Health Connect, by matching record types readable by the calling package to appropriate writing data sources.\\n[...]\\nForResult), or\\n[...]\\n_OK or Activity\\n[...]\\nRESULT_CANCELED) indicating the user's interaction with the flow:\\n[...]\\n### createMedicalDataSource\\n[...]\\nCreates a MedicalDataSource in HealthConnect based on the CreateMedicalDataSourceRequest request values.\\n[...]\\n### getCurrentDeviceDataSource\\n[...]\\n### getDeviceDataSourceCapabilities\\n[...]\\n### getDeviceDataSources\\n[...]\\n### getMedicalDataSources\\n[...]\\n### getMedicalDataSources\\n[...]\\n### insertRecords\\n[...]\\nInserts`records` into the HealthConnect database. The records returned in InsertRecordsResponse contains the unique IDs of the input records. The values are in same order as`records`. In case of an error or a permission failure the HealthConnect service, OutcomeReceiver.onError will be invoked with a HealthConnectException.\\n[...]\\n### isMatchmakingPossible\\n[...]\\n### readMedicalResources\\n[...]\\nReads MedicalResource s based on a list of MedicalResourceId s.\\n[...]\\n### readMedicalResources\\n[...]\\nReads MedicalResource s based on ReadMedicalResourcesInitialRequest or ReadMedicalResourcesPageRequest.\\n[...]\\n### readRecords\\n[...]\\nAPI to read records based on ReadRecordsRequestUsingFilters or ReadRecordsRequestUsingIds\\n[...]\\n### updateRecords\\n[...]\\nUpdates`records` into the HealthConnect database. In case of an error or a permission failure the HealthConnect service,\\n[...]\\nReceiver.onError will be invoked with a HealthConnectException.\\n[...]\\n### upsertMedicalResources\\n[...]\\nInserts or updates a list of MedicalResource s into the HealthConnect database using UpsertMedicalResourceRequest.\",\n \"position\": 2\n },\n {\n \"url\": \"https://developer.android.com/codelabs/health-connect\",\n \"title\": \"Build a complete integration with Health Connect  |  Android health & fitness  |  Android Developers\",\n \"description\": \"Health Connect is a health data platform for Android app developers. It provides a single, consolidated interface for access to users' health and fitness data, and consistent functional behavior across all devices. With Health Connect, users have a secure health and fitness data storage on-device, with full control and transparency over access.\\n[...]\\nuser permission, developers can securely read from and write to Health Connect using standardized schemas and API behavior. Users get full\\n[...]\\ntheir privacy settings, with\\n[...]\\napps are requesting access to data at any given\\n[...]\\n. The data in Health Connect is stored on-\\n[...]\\nand encrypted. Users\\n[...]\\nshut off access or delete data they don't want on their device, and the\\n[...]\\n- Client app: To integrate with Health Connect, the client app links the SDK into their health and fitness app. This provides an API surface to interact with the Health Connect API.\\n- Software Development Kit: The SDK enables the client app to communicate with the Health Connect APK.\\n[...]\\n- Health Connect APK: This is the APK that implements Health Connect. It contains both its Permissions management and Data management components. The Health Connect APK is made available directly on the user's device, making Health Connect device-centric instead of account-centric.\\n[...]\\nThe Health Connect app is responsible for handling all the requests that your application sends through the Health Connect SDK. These requests include storing data and managing its read and write access.\\n[...]\\nStarting Android 14 (API Level 34), Health Connect is part of the Android framework. Because this version of Health Connect is a framework module, there's no setup necessary.\\n[...]\\nOn Android 13 (API Level 33) and lower versions, Health Connect is not part of the Android framework. Therefore, you need to install the Health Connect app from the Google Play Store. Scan the QR code to install Health Connect.\\n[...]\\n`HealthConnectManager` stores all the functions that interact with Health Connect. In this Codelab, we will guide you step by step to complete the essential functionalities. The` ```\\ndependencies {\\n // Add a dependency of Health Connect SDK\\n implementation \\\"androidx.health.connect:connect-client:1.1.0-alpha11\\\"\\n}\\n[...]\\nThe Health Connect Differential Changes API helps to track changes from a specific point of time for a set of data types. For example, you want to know if users have updated or deleted any existing records outside your app so that you can update your database accordingly.\\n[...]\\nReading data with Health Connect is restricted to applications running in the foreground. This restriction is in place to further strengthen user privacy. It notifies and assures users that Health Connect does not have background read access to their data and that data is only read and accessed in the foreground. When the app is in the foreground, the Differential Changes API enables developers to retrieve changes made to Health Connect by deploying a Changes token.\\n[...]\\nyou want to get changes from the last time your app synced with Health Connect, use the\\n[...]\\n. The`\\n[...]\\n` returns a list of\\n[...]\\nHealth Connect also provides aggregated data through aggregate\\n[...]\\n. The following\\n[...]\\nfrom Health Connect.\\n[...]\\nUse`healthConnectClient.aggregate` to send`AggregateRequest`. In the aggregate request, specify a set of aggregate metrics and the time range you want to get. For example,`ExerciseSessionRecord.EXERCISE_DURATION_TOTAL` and`StepsRecord.COUNT_TOTAL` provide cumulative data, while`WeightRecord.WEIGHT_AVG`,`HeartRateRecord.BPM_MAX`, and`HeartRateRecord.BPM_MIN` provide statistical data.\\n[...]\\nThis example shows how to get associated aggregation data for a specific exercise session. First, read a record using`healthConnectClient.readRecord` with a`uid`. Then, use the`startTime` and the`endTime` of the exercise session as time range and the`dataOrigin` as filters to read associated aggregations.\",\n \"position\": 3\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect\",\n \"title\": \"Health Connect | Android health & fitness - Android Developers\",\n \"description\": \"The Medical Records feature extends Health Connect to include basic medical data in the Fast Healthcare Interoperability Resources (FHIR®) format. It provides APIs for applications to read and write medical data, along with a user interface for browsing the data and managing permissions.\\n[...]\\n### Android compatibility\\n[...]\\nHealth Connect is compatible with Android SDK version 28 (Pie) and higher. The SDK allows client apps to determine whether the Health Connect API is on the user's Android-powered device. If it isn't, Health Connect triggers an availability check to determine whether the user's device is compatible.\\n[...]\\n### Introducing new APIs for health and fitness in Health Connect by Android\\n[...]\\nLearn about the new Health Connect APIs.\",\n \"position\": 4\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect/medical-records/read-data\",\n \"title\": \"Read medical data  |  Android health & fitness  |  Android Developers\",\n \"description\": \"> This guide is compatible with Health Connect version 1.1.0-beta02.\\n[...]\\nTo read medical data using Medical Records in Health Connect,\\nfollow these steps:\\n[...]\\n1. Check for feature availability.\\n2. Request read permissions.\\n3. Read data, such as `MedicalResource` records or `MedicalDataSource` details.\\n[...]\\n## Required permissions\\n[...]\\nReading medical data is protected by the following permission:\\n[...]\\n- `android.permission.health.READ_MEDICAL_DATA_ALLERGIES_INTOLERANCES`\\n- `android.permission.health.READ_MEDICAL_DATA_CONDITIONS`\\n- `android.permission.health.READ_MEDICAL_DATA_LABORATORY_RESULTS`\\n- `android.permission.health.READ_MEDICAL_DATA_MEDICATIONS`\\n- `android.permission.health.READ_MEDICAL_DATA_PERSONAL_DETAILS`\\n- `android.permission.health.READ_MEDICAL_DATA_PRACTITIONER_DETAILS`\\n- `android.permission.health.READ_MEDICAL_DATA_PREGNANCY`\\n- `android.permission.health.READ_MEDICAL_DATA_PROCEDURES`\\n- `android.permission.health.READ_MEDICAL_DATA_SOCIAL_HISTORY`\\n- `android.permission.health.READ_MEDICAL_DATA_VACCINES`\\n- `android.permission.health.READ_MEDICAL_DATA_VISITS`\\n- `android.permission.health.READ_MEDICAL_DATA_VITAL_SIGNS`\\n[...]\\n### Request permissions from the user\\n[...]\\nAfter creating a client instance, your app needs to request permissions from\\nthe user. Users must be allowed to grant or deny permissions at any time.\\n\\nTo do so, create a set of permissions for the required data types.\\nMake sure that the permissions in the set are declared in your Android\\nmanifest first.\\n[...]\\nUse `getGrantedPermissions` to see if your app already has the\\nrequired permissions granted. If not, use\\n`createRequestPermissionResultContract` to request\\nthose permissions. This displays the Health Connect permissions screen.\\n[...]\\n## Medical resources\\n[...]\\nYou can read any medical resource (`MedicalResource`)\\nwritten to Health Connect for the user, including those added by other apps.\\n[...]\\n### Get MedicalResource records\\n[...]\\nFilter a get request by specifying the `medicalResourceType`. Make sure to use\\npaged requests and be mindful of rate limiting.\\n[...]\\n// Read `MedicalResource` s back from the `MedicalDataSource`\\n// Read 100 resources / page. See `pageSize` doc for defaults and limits.\\n[...]\\n// Prepare the initial read request.\\n[...]\\n// If `medicalDataSourceIds` is empty, all `MedicalResource` s of the given `medicalResourceType`\\n// across all `MedicalDataSource` s will be retrieved.\\n[...]\\n// Read `MedicalResource` s\\n[...]\\nval response: ReadMedicalResourcesResponse =\\n[...]\\nhealthConnectClient.readMedicalResources(request)\\n[...]\\n### Get MedicalResource records by ID\\n[...]\\nYou can also retrieve a `MedicalResource` using an ID:\\n[...]\\nval retrievedMedicalResources: List =\\n[...]\\nhealthConnectClient.readMedicalResources(\\n[...]\\nmedicalResources.map { medicalResource: MedicalResource ->\\n[...]\\n## Data Sources\\n[...]\\nYou can read any data source (`MedicalDataSource`)\\nwritten to Health Connect for the user, including those added by other apps.\\n\\nA `MedicalDataSource` represents the source of medical records, such as a\\nhospital or clinic. This helps you identify where specific medical records\\noriginated, which is useful for filtering data or displaying source\\ninformation to the user.\\n[...]\\n### Get a MedicalDataSource record by package name\\n[...]\\nUse `GetMedicalDataSourcesRequest` to request by package name (app):\\n[...]\\n// Retrieve all `MedicalDataSource` s created by any of the specified package names\\n// Package names may be found in other `MedicalDataSource` s or from arbitrary input\\n[...]\\nval medicalDataSources: List =\\nhealthConnectClient.getMedicalDataSources(\\nGetMedicalDataSourcesRequest(listOf(medicalDataSource.packageName, anotherPackageName))\\n)\\n[...]\\n### Get a MedicalDataSource record by ID\\n[...]\\nOr, request by `id` if you know it:\\n[...]\\n// Retrieve all `MedicalDataSource` with `id` matching any of the given ids\\nval medicalDataSources: List =\\nhealthConnectClient.getMedicalDataSources(listOf(medicalDataSource.id, anotherId))\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_nUbJlZidjVVdlduntD1UJuK8" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://developer.android.com/health-and-fitness/health-connect/migration/fit\",\n \"title\": \"Fit migration guide | Android health & fitness\",\n \"description\": \"The Google Fit\\n[...]\\nand scheduled for end of service in late\\n2026. Google offers\\n[...]\\nand wellness products and services to help\\n[...]\\nyour users continue to achieve their goals\\n[...]\\n> Caution: The Google Fit API (including the REST API) will only be\\n> supported until the end of 2026. We recommend migrating to the Google Health API\\n> for cloud-based integrations or Health Connect for step tracking and\\n> mobile-first apps.\\n[...]\\n| Application Type | Recommended Path | Primary Reason |\\n| --- | --- | --- |\\n| Step Tracking App | Health Connect | Mobile-centric reading of aggregated steps data from various sources. |\\n| Fitness Trackers Companion App | Google Health API | Web-centric platform requiring OAuth for user integration. |\\n| Health and Fitness Platform | The Google Health API & Health Connect | Use the Google Health API for Fitbit/Google device data and Health Connect for on-device aggregated data. |\\n[...]\\n| Current Integration | Recommended Path | Availability |\\n| --- | --- | --- |\\n| Google Fit (Android & REST API) | Google Health API | Available |\\n| Reading mobile steps (with Google Fit Recording API) | Health Connect | Available |\\n| Fit API on Wear OS | Health Services | Available |\\n| Fitbit Web API | Google Health API | Available |\\n| Recording API on Mobile | Health Connect | Available |\\n| Health Connect | Keep existing integration or add the Google Health API | Available |\\n[...]\\nREST) | Google Health\\n[...]\\n| Project Setup | Google Cloud\\n[...]\\n| Create Google Cloud project |\\n[...]\\n| OAuth Configuration | Android or Web application type | Web application type |\\n[...]\\n| Data Architecture | `com.google` prefixed types | Unified Google Health API data types |\\n[...]\\n| App Registration | Create Google Cloud project | Create Google Cloud project and enable the Google Health API |\\n[...]\\n| Feature | Fit API for Android | Health Connect |\\n| --- | --- | --- |\\n| Registration | Google Cloud Console | Play Store project and health apps declaration |\\n| Authentication | OAuth 2.0 required | No OAuth required (on-device permissions) |\\n| Data storage | Cloud-centric | Device-centric (on-device) |\\n| Audience | Legacy Android developers | Modern Android mobile developers |\\n| Permissions | OAuth scopes | Android manifest permissions |\\n[...]\\n| Phone | Wear |\\n[...]\\n| 1. To show a total step count, add Health Connect to your app. The total includes mobile steps (Android 14 or higher) and steps from other apps and devices. 2. To continue showing local steps data in your app, implement writing data using Health Connect's write API. | Use Health Services: - PassiveMonitoringClient - ExerciseClient See the Health Services documentation for more on the differences between the two. |\\n[...]\\n| Phone | Wear\\n[...]\\n| Start/stop: Not applicable. The application should track\\n[...]\\nstate of ongoing sessions internally. Read/write: Transition to the Google Health API. | Start/stop\\n[...]\\nUse Health Services (ExerciseClient) Read/write: Use Health Connect with your mobile app. For specific workflows, we advise the following: - Inserting a session: Developers should use Health Connect with\\n[...]\\napp and either insert an `ExerciseSessionRecord` or a `SleepSessionRecord` accordingly.\\n[...]\\nIf your app connects to Google Fit for data sharing, follow guidance on\\nmigrating existing and new users to Health Connect or the Google Health API in\\nthese sections:\\n[...]\\nTo offer a similar experience to new users of your app, we recommend\\nbuilding an integration with Health Connect or the\\nGoogle Health API.\\n[...]\\nHealth Connect offers access to new data sources and types to provide a\\nricher experience for users, with data stored securely on-device. The Google\\nHealth API provides a web-centric platform for Fitbit and Google device data.\\n[...]\\n|---|---|\\n| check Do this | close Don't do this |\\n| Include Health Connect or the Google Health API in your app's setup flow. | Offer Fit as an app that users can connect to once Health Connect is available. |\",\n \"position\": 1\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/guides/health-connect/migrate/fit-apis-end-of-service\",\n \"title\": \"Google Fit Migration FAQ  |  Android health & fitness  |  Android Developers\",\n \"description\": \"This document provides answers to frequently asked questions about migrating\\nfrom Google Fit APIs to Android Health APIs.\\n[...]\\nAll developers who are using the Google Fit APIs and Google Fit REST APIs.\\n[...]\\n- The Google Fit APIs, including the Google Fit REST API, will be deprecated in 2026.\\n- Developers cannot sign up to use these APIs as of May 1, 2024.\\n[...]\\nIf you are a developer using Google Fit APIs for Android, we recommend migrating\\nto Android Health APIs now to help provide uninterrupted service for your users.\\n[...]\\n- Health Connect : By integrating with Health Connect, your Android app can access data from a growing ecosystem of apps with just one connection. Plus, data is stored on-device, allowing the user to be in full control of their data.\\n[...]\\nWhat will happen to the\\n[...]\\nGoogle Fit APIs will no longer be available for use. After the migration\\nperiod, you should have already migrated to Health Connect or\\nother Android Health APIs.\\n[...]\\n## What will happen to the Google Fit REST APIs after the migration period?\\n[...]\\nThere is no alternative to the Fit REST API.\\n\\nWe encourage Fit REST API users to migrate to the Android Health APIs. See\\nwhich one best fits your needs and users:\\n[...]\\n- Health Connect: Health Connect unifies data across Android's portfolio of devices and apps into an ecosystem, providing a common health platform for Android developers. Health Connect provides an API for reading and writing the user's health and fitness data, standardizes the data schema upon storage, and centralizes permissions control.\",\n \"position\": 2\n },\n {\n \"url\": \"https://developer.android.com/health-and-fitness/guides/health-connect/migrate/comparison-guide\",\n \"title\": \"Health Connect comparison guide  |  Android health & fitness  |  Android Developers\",\n \"description\": \"| API | Status | Audience | Storage |\\n| --- | --- | --- | --- |\\n| Health Connect | Available | Android mobile developers | On-device |\\n| Google Health API | Available | Web, server-to-server (S2S), and platform-agnostic developers | Cloud |\\n| Fitbit Web API | Transitioning | Existing Fitbit ecosystem developers | Cloud |\\n| Google Fit API | Deprecating | Legacy Google Fit (Android and REST) API developers | Cloud |\\n[...]\\nWe don't recommend migrating to Health Connect if you're an existing Google\\nFitbit Web API developer. However, if you're integrated with the Fit APIs, we\\nrecommend migrating to Health Connect only if you are a step-tracking app.\\n[...]\\n> [!NOTE]\\n> Note: The Google Fit APIs have been deprecated and we plan to support them until 2026 . See Migration guide for instructions on migrating to Health Connect.\\n[...]\\n- Integrate : See Get started to start integrating with Health Connect.\\n- Learn more : To learn more about Health Connect, watch the Introducing new APIs for health and fitness in Health Connect by Android video on YouTube.\\n- Resources : For more information, see the documentation.\\n- Migration : Fit API developers can follow the Fit migration guide.\\n[...]\\nThe following APIs are considered legacy and are being deprecated or\\ntransitioned to newer alternatives.\\n[...]\\n### Google Fit API\\n[...]\\nThe Google Fit API (including the REST API) is officially scheduled\\nfor end of service by the end of 2026. We recommend integrating with\\nHealth Connect or the Google Health API. All developers using Google Fit APIs\\nmust transition. We recommend removing Google Fit integration and encouraging\\nusers to connect to new integrations. For instructions, see the\\nFit migration guide.\\n[...]\\n> [!CAUTION]\\n> Caution: The Fitbit Web API will migrate to the Google Health API. For instructions, see the Fitbit migration guide.\",\n \"position\": 3\n },\n {\n \"url\": \"https://android-developers.googleblog.com/2024/05/evolving-health-on-android-migrating-from-google-fit-apis-to-android-health.html\",\n \"title\": \"Evolving Health on Android: Migrating from Google Fit APIs to ...\",\n \"description\": \"Android Developers Blog: Evolving Health on Android: Migrating from Google Fit APIs to Android Health\\n\\n☰\\n\\nThe latest Android and Google Play news for app and game developers.\\n\\n🔍\\n\\n|\\n\\n## Google developers blog\\n\\n## Connect\\n\\nAndroid Developers\\n\\nGoogle Play\\n\\n## Subscribe\",\n \"position\": 4\n },\n {\n \"url\": \"https://android-dot-devsite-v2-prod.appspot.com/guide/health-and-fitness/health-connect\",\n \"title\": \"Health Connect  |  Android health & fitness  |  Android Developers\",\n \"description\": \"Medical Records feature extends Health Connect to include\\n[...]\\nmedical data in the Fast Healthcare\\n[...]\\noperability Resources\\n[...]\\n) format. It provides\\n[...]\\nwrite medical data\\n[...]\\nmanaging permissions.\\n[...]\\nThe platform provides standard insert, update, and delete functions for recorded data. Health Connect also includes functionality that allows client apps to synchronize data out of Health Connect.\\n[...]\\n### Android compatibility\\n[...]\\nHealth Connect is compatible with Android SDK version 28 (Pie) and higher. The SDK allows client apps to determine whether the Health Connect API is on the user's Android-powered device. If it isn't, Health Connect triggers an availability check to determine whether the user's device is compatible.\\n[...]\\n### Introducing new APIs for health and fitness in Health Connect by Android\\n[...]\\nLearn about the new Health Connect APIs.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_cQJA6xKGzvrEi9yqlCt5A9c0" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_z3I11eboUkvoWHbZMAHVpJ3Q", "call_id": "call_z3I11eboUkvoWHbZMAHVpJ3Q", "response_item_id": "fc_01018de4bd63555f016a06ff30e96c81989431c77ded51c68b", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\":5,\"query\":\"Cronometer public API reverse engineered MCP github\"}" } }, { "id": "call_5ixS3B3DLx8KZRsHJCXpLPnt", "call_id": "call_5ixS3B3DLx8KZRsHJCXpLPnt", "response_item_id": "fc_01018de4bd63555f016a06ff30e9848198a634a14a3627aa2b", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\":5,\"query\":\"Cronometer API public developer\"}" } }, { "id": "call_qTE6gu1cRznn0INQL4bE8F2u", "call_id": "call_qTE6gu1cRznn0INQL4bE8F2u", "response_item_id": "fc_01018de4bd63555f016a06ff30e98c819895a4dc24b2c45d2e", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\":5,\"query\":\"Hevy API developer docs workouts routines OAuth personal access token\"}" } }, { "id": "call_PYTBaUBFrWWGuUl9FM8pAzuk", "call_id": "call_PYTBaUBFrWWGuUl9FM8pAzuk", "response_item_id": "fc_01018de4bd63555f016a06ff30e9948198b46410ffd1b66349", "type": "function", "function": { "name": "web_search", "arguments": "{\"limit\":5,\"query\":\"Hevy API docs api.hevyapp.com\"}" } } ] }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://github.com/cphoskins/cronometer-mcp\",\n \"title\": \"cphoskins/cronometer-mcp\",\n \"description\": \"# Repository: cphoskins/cronometer-mcp\\n[...]\\n# cronometer-mcp\\n\\n \\n\\nAn MCP (Model Context Protocol) server that provides access to your Cronometer nutrition data. Pull detailed food logs, daily macro/micro summaries, manage diary entries, fasting, biometrics, and recurring foods — all from Claude, Cursor, or any MCP-compatible client.\\n[...]\\n## How It Works\\n[...]\\nCronometer does not have a public API for individual users. This server uses the same GWT-RPC (Google Web Toolkit Remote Procedure Call) protocol that the Cronometer web app uses internally:\\n[...]\\n1. Fetches the login page to get an anti-CSRF token\\n2. POSTs credentials to authenticate\\n3. Calls GWT-RPC `authenticate` to get a user ID\\n4. Calls GWT-RPC `generateAuthorizationToken` for short-lived export tokens\\n5. Downloads CSV exports using the token\\n6. Calls GWT-RPC methods directly for diary edits, fasting, biometrics, macro targets, and repeat items\\n[...]\\nSession cookies are persisted to `~/.local/share/cronometer-mcp/.session_cookies` so that subsequent invocations reuse the session without re-authenticating (Cronometer has aggressive login rate limiting).\\n[...]\\n## Python API\\n[...]\\nYou can also use the client directly in Python:\\n[...]\\n```python\\nfrom datetime import date, timedelta\\nfrom cronometer_mcp import CronometerClient\\n[...]\\nclient = CronometerClient() # reads from env vars\\n[...]\\n# Get today's food log\\nfoods = client.\\n[...]\\n_food_log()\\n[...]\\nstart = date.\\n[...]\\n() - timedelta(days=7)\\n[...]\\n# Add a recurring food entry (every weekday)\\nclient.add_repeat_item(\\n food_source_id=12345,\\n measure_id=0, # universal gram-based measure\\n quantity=200,\\n food_name=\\\"Oatmeal\\\",\\n diary_group=1, # Breakfast\\n days_of_week=[1, 2, 3, 4, 5],\\n)\",\n \"position\": 1\n },\n {\n \"url\": \"https://pypi.org/project/cronometer-api-mcp/0.1.3/\",\n \"title\": \"cronometer-api-mcp v0.1.3\",\n \"description\": \"MCP server for Cronometer nutrition data using the mobile REST API\\n[...]\\n# cronometer-api-mcp\\n\\n \\n\\nAn MCP (Model Context Protocol) server for Cronometer nutrition tracking, built on the reverse-engineered mobile REST API.\\n[...]\\nUnlike cronometer-mcp, which takes a comprehensive GWT-RPC approach against Cronometer's web backend, this server talks to the same JSON REST API used by the Cronometer Android app -- with clean payloads and stable, versioned endpoints.\\n[...]\\nThis server communicates with `mobile.cronometer.com` -- the same REST API used by the Cronometer Android/Flutter app. The API was reverse-engineered through:\\n[...]\\n1. Static analysis of `libapp.so` (Dart AOT snapshot) from the APK to discover endpoint names\\n2. Traffic interception via Frida + mitmproxy to capture exact request/response formats\\n3. Trial-and-error against the live API to confirm payload shapes\\n[...]\\nThe API uses two protocols:\\n[...]\\n- **v2 (`POST /api/v2/*`)** -- JSON-body auth, used for most operations (food search, diary read/write, nutrition, fasting, macros)\\n- **v3 (`DELETE /api/v3/user/{id}/*`)** -- Header-based auth (`x-crono-session`), used for diary entry deletion\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/burke/gocronometer\",\n \"title\": \"burke/gocronometer\",\n \"description\": \"# Repository: burke/gocronometer (fork of jrmycanady/gocronometer)\\n[...]\\ngocronometer is a go module that provides API access to the export methods of Cronometer.com\\n[...]\\ngocronometer is an GPLv2 licensed Go module that provides a client for exporting data from \\nCronometer. It utilizes the export features to retrieve the CSV data from the unpublished API.\\n[...]\\n**NOTE:** This module utilizes the same API the SPA uses. For that reason it should only be used by single users wanting \\nto export their personal data for backup or other reasons. It should never be used for integrations that the enterprise \\nplan would cover. The library is licensed under the GPLv2 to help prevent the unacceptable usage.\\n[...]\\n| method | description |\\n| --- | --- |\\n| ExportDailyNutrition() | Exports daily nutrition information for the date range provided. |\\n| ExportServings() | Exports servings for the date range provided. |\\n| ExportExercises() | Exports exercises for the date range provided. |\\n| ExportBiometrics() | Exports biometrics for the date range provided. |\\n| ExportNotes( | Exports notes for the date range provided. |\\n[...]\\n## API Magic Values\\n[...]\\nThis library mimics the GWT HTTP requests to perform the export of data. The GWT API exposed by Cronometer is not \\ndesigned to be accessed from anything besides their deployed GWT application. For that reason, there are several values \\nthat can only be obtained from loading the application itself. These values change over time with application updates,\\nand the library must use those new values.\\n[...]\\nThe library includes the values as of the last push of the library. The new values can be provided to the client via\\nthe ClientOptions parameter of the NewClient function.\\n[...]\\n### Magic Values\\n[...]\\n| Name | Location | Changes |\\n| --- | --- | --- |\\n| GWTContentType | Retrieve from request header. | false |\\n| GWTModuleBase | Retrieve from request header. | false |\\n| GWTPermutation | Retrieve from request header. | true |\\n| GWTHeader | Retrieve from GWT request body. | true |\",\n \"position\": 3\n },\n {\n \"url\": \"https://wearipedia.readthedocs.io/en/latest/notebooks/cronometer.html\",\n \"title\": \"Cronometer: Guide to data extraction and analysis — wearipedia documentation\",\n \"description\": \"We’ve been using the cronometer application for the past few weeks and we will show you how to extract its data, visualize the participants data and compute correlations between multiple metrics. Cronometer does not have a public API, so we would reversed engineered the cornometer api within wearipedia in order to extract servings, daily-nutrition, exercises, notes, and biometrics.\\n[...]\\nInstall the`wearipedia` Python package to easily extract data from this app via the Cronometer API.\\n[...]\\nCollecting git+https://SaarthShah:****@github.com/SaarthShah/wearipedia.git\\n Cloning https://SaarthShah:****@github.com/SaarthShah/wearipedia.git to /tmp/pip-req-build-u404yupq\\n Running command git clone --filter=blob:none --quiet 'https://SaarthShah:****@github.com/SaarthShah/wearipedia.git' /tmp/pip-req-build-u404yupq\\n Resolved https://SaarthShah:****@github.com/SaarthShah/wearipedia.git to commit b2f01ee96743f78da3cf6afff53e2e1a6b422567\\n Installing build dependencies ... done\\n Getting requirements to build wheel ... done\\n Preparing metadata (pyproject.toml) ... done\\n[...]\\nData can be extracted via wearipedia, our open-source Python package that unifies dozens of complex wearable device APIs into one simple, common interface.\\n[...]\\n```\\n\\n```\\nimport wearipedia\\n\\ndevice = wearipedia.get_device(\\\"cronometer/cronometer\\\")\\n\\nif not synthetic:\\n device.authenticate({\\\"username\\\": email_address, \\\"password\\\": password})\\n\\nparams = {\\\"start_date\\\": start_date, \\\"end_date\\\": end_date}\\n\\ndailySummary = device.get_data(\\\"dailySummary\\\", params=params)\\nservings = device.get_data(\\\"servings\\\", params=params)\\nexercises = device.get_data(\\\"exercises\\\", params=params)\\nbiometrics = device.get_data(\\\"biometrics\\\", params=params)\",\n \"position\": 4\n },\n {\n \"url\": \"https://pypi.org/project/cronometer-mcp/\",\n \"title\": \"cronometer-mcp v2.0.3\",\n \"description\": \"MCP server for Cronometer nutrition data — pull food logs, macros, and micronutrients via the Model Context Protocol\\n[...]\\n- Homepage: https://github.com/cphoskins/cronometer-mcp\\n- Issues: https://github.com/cphoskins/cronometer-mcp/issues\\n- Repository: https://github.com/cphoskins/cronometer-mcp\\n[...]\\n# cronometer-mcp\\n\\n \\n\\nAn MCP (Model Context Protocol) server that provides access to your Cronometer nutrition data. Pull detailed food logs, daily macro/micro summaries, manage diary entries, fasting, biometrics, and recurring foods — all from Claude, Cursor, or any MCP-compatible client.\\n[...]\\nHow It Works\\n[...]\\nCronometer does not have a public API for individual users. This server uses the same GWT-RPC (Google Web Toolkit Remote Procedure Call) protocol that the Cronometer web app uses internally:\\n[...]\\n1. Fetches the login page to get an anti-CSRF token\\n2. POSTs credentials to authenticate\\n3. Calls GWT-RPC `authenticate` to get a user ID\\n4. Calls GWT-RPC `generateAuthorizationToken` for short-lived export tokens\\n5. Downloads CSV exports using the token\\n6. Calls GWT-RPC methods directly for diary edits, fasting, biometrics, macro targets, and repeat items\\n[...]\\nSession cookies are persisted to `~/.local/share/cronometer-mcp/.session_cookies` so that subsequent invocations reuse the session without re-authenticating (Cronometer has aggressive login rate limiting).\\n[...]\\n## Python API\\n[...]\\nYou can also use the client directly in Python:\\n[...]\\n```python\\nfrom datetime import date, timedelta\\nfrom cronometer_mcp import CronometerClient\\n[...]\\nclient = CronometerClient() # reads from env vars\\n[...]\\n# Get today's food log\\nfoods = client.get_food_log()\\n[...]\\nstart = date.\\n[...]\\n() - timedelta(days\\n[...]\\n7)\\n[...]\\n= client.\\n[...]\\n# Add a recurring food entry (every weekday)\\nclient.add_repeat_item(\\n food_source_id=12345,\\n measure_id=0, # universal gram-based measure\\n quantity=200,\\n food_name=\\\"Oatmeal\\\",\\n diary_group=1, # Breakfast\\n days_of_week=[1, 2, 3, 4, 5],\\n)\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_z3I11eboUkvoWHbZMAHVpJ3Q" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"http://www.cronometer.com/pro/\",\n \"title\": \"Cronometer Pro | Cronometer\",\n \"description\": \"Do you have an API so I can integrate Cronometer into my business platform?\\n[...]\\nYes, we have an API that we grant access to on a case-by-case basis. Please contact us for more info.\",\n \"position\": 1\n },\n {\n \"url\": \"https://forums.cronometer.com/discussion/6465/cronometer-api\",\n \"title\": \"Cronometer API — Welcome To The Cronometer Community\",\n \"description\": \"Cronometer API — Welcome To The Cronometer Community\\n[...]\\n# Cronometer API\\n[...]\\nSeptember 2024 in Feature Requests\\n[...]\\nIs there an API endpoint we can use to export our diary data? Or is this on the roadmap/being worked on in any way? Cronometer hasn't added, and doesn't seem to be adding CGM integrations for tools like the Libre3 so my next best solution would be to pull food data from cron and compare it to my glucose/insulin charting to help improve my health through diet with more targeted data.\",\n \"position\": 2\n },\n {\n \"url\": \"https://wearipedia.readthedocs.io/en/latest/notebooks/cronometer.html\",\n \"title\": \"Cronometer: Guide to data extraction and analysis — wearipedia documentation\",\n \"description\": \"Do you know that DIET stands for Did I Eat That? Jokes aside, in this notebook we will be doing just that. We will connect to the Cronometer API to analyze the participants nutritional and exercise habits.\\n[...]\\nWe’ve been using the cronometer application for the past few weeks and we will show you how to extract its data, visualize the participants data and compute correlations between multiple metrics. Cronometer does not have a public API, so we would reversed engineered the cornometer api within wearipedia in order to extract servings, daily-nutrition, exercises, notes, and biometrics.\\n[...]\\nInstall the`wearipedia` Python package to easily extract data from this app via the Cronometer API.\\n[...]\\nData can be extracted via wearipedia, our open-source Python package that unifies dozens of complex wearable device APIs into one simple, common interface.\\n[...]\\n```\\nimport wearipedia\\n\\ndevice = wearipedia.get_device(\\\"cronometer/cronometer\\\")\\n\\nif not synthetic:\\n device.authenticate({\\\"username\\\": email_address, \\\"password\\\": password})\\n\\nparams = {\\\"start_date\\\": start_date, \\\"end_date\\\": end_date}\\n\\ndailySummary = device.get_data(\\\"dailySummary\\\", params=params)\\nservings = device.get_data(\\\"servings\\\", params=params)\\nexercises = device.get_data(\\\"exercises\\\", params=params)\\nbiometrics = device.get_data(\\\"biometrics\\\", params=params)\\n[...]\\nThe Cronometer API also gave\\n[...]\\nthe participants daily\\n[...]\\nre-create\\n[...]\\nchart using Python\",\n \"position\": 3\n },\n {\n \"url\": \"https://forums.cronometer.com/discussion/6564/cronometer-roadmap-and-upcoming-features\",\n \"title\": \"Cronometer Roadmap and Upcoming Features — Welcome To The Cronometer Community\",\n \"description\": \"•Lack of an API: Currently, there’s no available API, which limits the ability to integrate Cronometer with other tools and services we might be using.\\n[...]\\n•Published Roadmap: There’s no publicly available roadmap outlining upcoming features or improvements. This makes it challenging to anticipate future capabilities and plan accordingly.\\n[...]\\n•Are there any plans to develop and release an API in the near future?\\n[...]\\n•Is there a projected timeline for publishing a feature development roadmap?\\n[...]\\nrequest tonight).\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/burke/gocronometer\",\n \"title\": \"burke/gocronometer\",\n \"description\": \"# Repository: burke/gocronometer (fork of jrmycanady/gocronometer)\\n[...]\\ngocronometer is a go module that provides API access to the export methods of Cronometer.com\\n[...]\\n- Stars: 0\\n- Forks: 0\\n- Watchers: 0\\n- Open issues: 0\\n- Primary language: Go\\n- Languages: Go\\n- License: GNU General Public License v2.0 (GPL-2.0)\\n- Default branch: master\\n- Created: 2024-12-10T19:42:03Z\\n- Last push:\\n[...]\\n025-02-01T17:44:52Z\\n- Contributors: 3 (top:\\n[...]\\nabot[bot])\\n[...]\\ngocronometer is an GPLv2 licensed Go module that provides a client for exporting data from \\nCronometer. It utilizes the export features to retrieve the CSV data from the unpublished API.\\n[...]\\n**NOTE:** This module utilizes the same API the SPA uses. For that reason it should only be used by single users wanting \\nto export their personal data for backup or other reasons. It should never be used for integrations that the enterprise \\nplan would cover. The library is licensed under the GPLv2 to help prevent the unacceptable usage.\\n[...]\\n| --- | --- |\\n[...]\\n| ExportBiometrics\\n[...]\\nThis library mimics the GWT HTTP requests to perform the export of data. The GWT API exposed by Cronometer is not \\ndesigned to be accessed from anything besides their deployed GWT application. For that reason, there are several values \\nthat can only be obtained from loading the application itself. These values change over time with application updates,\\nand the library must use those new values.\\n[...]\\nThe library includes the values as of the last push of the library. The new values can be provided to the client via\\nthe ClientOptions parameter of the NewClient function.\\n[...]\\n| Name | Location | Changes |\\n| --- | --- | --- |\\n| GWTContentType | Retrieve from request header. | false |\\n| GWTModuleBase | Retrieve from request header. | false |\\n| GWTPermutation | Retrieve from request header. | true |\\n| GWTHeader | Retrieve from GWT request body. | true |\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_5ixS3B3DLx8KZRsHJCXpLPnt" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://api.hevyapp.com/docs/\",\n \"title\": \"Swagger UI - Hevy app\",\n \"description\": \"Swagger UI\\n\\nExplore\\n\\n```\\n 0.0.1 \\n```\\n\\n```\\nOAS 3.0\\n```\\n\\n## Hevy API Docs\\n\\n```\\n Welcome to Hevy's public API! We're just starting to roll this out and depending on your\\n feedback, we'll be adding more features and endpoints. Also, we make no guarantees that \\n we won't completely change the structure or abandon the project entirely so use it at\\n your own risk. Currently, this API is only available to Hevy Pro users. You can get your \\n key on our web app at https://hevy.com/settings?developer. If you have any questions,\\n please reach out to pedro@hevyapp.com 🤝.\\n\\n```\\n\\n### Workouts\\n\\nGET\\n\\n/v1/workouts\\n\\nGet a paginated list of workouts\\n\\nPOST\\n\\n/v1/workouts\\n\\nCreate a new workout\\n\\nGET\\n\\n/v1/workouts/count\\n\\nGet the total number of workouts on the account\\n\\nGET\\n\\n/v1/workouts/events\\n\\nRetrieve a paged list of workout events (updates or deletes) since a given date. Events are ordered from newest to oldest. The intention is to allow clients to keep their local cache of workouts up to date without having to fetch the entire list of workouts.\\n\\nGET\\n\\n/v1/workouts/{workoutId}\\n\\nGet a single workout’s complete details by the workoutId\\n\\nPUT\\n\\n/v1/workouts/{workoutId}\\n\\nUpdate an existing workout\\n\\n### Users\\n\\nGET\\n\\n/v1/user/info\\n\\nGet user info\\n\\n### Routines\\n\\nGET\\n\\n/v1/routines\\n\\nGet a paginated list of routines\\n\\nPOST\\n\\n/v1/routines\\n\\nCreate a new routine\\n\\nGET\\n\\n/v1/routines/{routineId}\\n\\nGet a routine by its Id\\n\\nPUT\\n\\n/v1/routines/{routineId}\\n\\nUpdate an existing routine\\n\\n### ExerciseTemplates\\n\\nGET\\n\\n/v1/exercise_templates\\n\\nGet a paginated list of exercise templates available on the account.\\n\\nPOST\\n\\n/v1/exercise_templates\\n\\nCreate a new custom exercise template.\\n\\nGET\\n\\n/v1/exercise_templates/{exerciseTemplateId}\\n\\nGet a single exercise template by id.\\n\\n### RoutineFolders\\n\\nGET\\n\\n/v1/routine_folders\\n\\nGet a paginated list of routine folders available on the account.\\n\\nPOST\\n\\n/v1/routine_folders\\n\\nCreate a new routine folder. The folder will be created at index 0, and all other folders will have their indexes incremented.\\n\\nGET\\n\\n/v1/routine_folders/{folderId}\\n\\nGet a single routine folder by id.\\n\\n### ExerciseHistory\\n\\nGET\\n\\n/v1/exercise_history/{exerciseTemplateId}\\n\\nGet exercise history for a specific exercise template\\n\\n### Measurements\\n\\nGET\\n\\n/v1/body_measurements\\n\\nGet a paginated list of body measurements for the authenticated user\\n\\nPOST\\n\\n/v1/body_measurements\\n\\nCreate a body measurement entry for a given date. Returns 409 if an entry already exists for that date.\\n\\nGET\\n\\n/v1/body_measurements/{date}\\n\\nGet a single body measurement by date\\n\\nPUT\\n\\n/v1/body_measurements/{date}\\n\\nUpdate an existing body measurement entry for a given date. All fields are overwritten; omitted fields are set to null.\\n\\n#### Schemas\\n\\nPostWorkoutsRequestSet\\n\\nPostWorkoutsRequestExercise\\n\\nPostWorkoutsRequestBody\\n\\nPostRoutinesRequestSet\\n\\nPostRoutinesRequestExercise\\n\\nPostRoutinesRequestBody\\n\\nPutRoutinesRequestSet\\n\\nPutRoutinesRequestExercise\\n\\nPutRoutinesRequestBody\\n\\nPostRoutineFolderRequestBody\\n\\nBodyMeasurement\\n\\nPutBodyMeasurement\\n\\nSet\\n\\nExercise\\n\\nExerciseHistoryEntry\\n\\nCustomExerciseType\\n\\nMuscleGroup\\n\\nEquipmentCategory\\n\\nExerciseTemplate\\n\\nCreateCustomExerciseRequestBody\\n\\nRoutineFolder\\n\\nRoutine\\n\\nUserInfo\\n\\nUserInfoResponse\\n\\nWorkout\\n\\nUpdatedWorkout\\n\\nDeletedWorkout\\n\\nPaginatedWorkoutEvents\",\n \"position\": 1\n },\n {\n \"url\": \"https://github.com/dmzoneill/hevyapp-api/tree/main/api\",\n \"title\": \"hevyapp-api/api at main · dmzoneill/hevyapp-api · GitHub\",\n \"description\": \"account.md\\n\\naccount.md\\n[...]\\nfeed_workouts_paged.md\\n\\nfeed_workouts_paged.md\\n[...]\\nlogin.md\\n\\nlogin.md\\n[...]\\nnew-routine.md\\n\\nnew-routine.md\\n[...]\\nroutines_sync_batch.md\\n\\nroutines_sync_batch.md\\n[...]\\nupdate-routine.md\\n\\nupdate-routine.md\\n[...]\\nuser_preferences.md\\n\\nuser_preferences.md\\n[...]\\nworkoutcount.md\\n[...]\\nworkoutcount.md\\n[...]\\nworkouts_batch.md\\n\\nworkouts_batch.md\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/Klivess/HevySharp/blob/master/DOCUMENTATION.md\",\n \"title\": \"DOCUMENTATION.md at master · Klivess/HevySharp\",\n \"description\": \"- HevyAPI Client\\n - Constructors\\n - Authentication\\n - User\\n - Workouts\\n - Routines\\n - Routine Folders\\n - Exercise Templates\\n - Exercise History\\n[...]\\n- Models (Schemas)\\n - HevyWorkout\\n - HevyRoutine\\n - HevyRoutineFolder\\n - HevyExercise\\n - HevySet\\n - HevyExerciseTemplate\\n - HevyExerciseHistory\\n - HevyExerciseHistoryEntry\\n - Hevy\\n[...]\\n- HevyWorkoutEvent\\n[...]\\n## HevyAPI Client\\n[...]\\n| Property | Type | Description |\\n|---|---|---|\\n| `IsAuthorised` | `bool` | `true` after a successful call to `AuthoriseHevy`. Read-only. |\\n[...]\\n#### `AuthoriseHevy`\\n[...]\\n```csharp\\npublic async Task AuthoriseHevy(string apiKey)\\n```\\n[...]\\nValidates the API key by calling `GET /v1/user/info`. On success, sets `IsAuthorised = true` and attaches the key to all subsequent requests.\\n[...]\\n| Parameter | Type | Description |\\n|---|---|---|\\n| `apiKey` | `string` | Your Hevy developer API key |\\n[...]\\n**Returns:** `true` if the key is valid, `false` otherwise.\\n[...]\\n> All other methods throw `InvalidOperationException` if called before a successful authorisation.\\n[...]\\n### Workouts\\n[...]\\n#### `GetWorkouts`\\n[...]\\n```csharp\\npublic async Task GetWorkouts(int page =\\n[...]\\n1, int pageSize = 5)\\n[...]\\n**API endpoint:** `GET /v1/workouts?page={page}&pageSize={pageSize}`\\n[...]\\n#### `GetWorkout`\\n[...]\\n```csharp\\n[...]\\n**API endpoint:** `GET /v1/\\n[...]\\n#### `CreateWorkout`\\n[...]\\n```csharp\\n[...]\\nHevyWorkout workout\\n[...]\\n**API endpoint:** `POST /v1/workouts`\\n[...]\\n#### `UpdateWorkout`\\n[...]\\n**API endpoint:** `PUT /v1/workouts/{workoutId}`\\n[...]\\n### Routines\\n[...]\\n#### `GetRoutines`\\n[...]\\n```csharp\\npublic async Task GetRoutines(int page =\\n[...]\\n1, int pageSize = 5)\\n[...]\\n**API endpoint:** `GET /v1/routines?page={page}&pageSize={pageSize}`\\n[...]\\n#### `GetRoutine`\\n[...]\\n**API endpoint:** `GET /v1/routines/{routineId}`\\n[...]\\n#### `CreateRoutine`\\n[...]\\n```csharp\\npublic async Task CreateRoutine(HevyRoutine routine)\\n[...]\\nCreates a new routine. Body is wrapped in `{\\\"routine\\\": {...}}`. Text fields are sanitized.\\n[...]\\n**API endpoint:** `POST /v1/routines`\\n[...]\\n#### `UpdateRoutine`\\n[...]\\n**API endpoint:** `PUT /v1/routines/{routineId}`\\n[...]\\n### Routine Folders\\n[...]\\n#### `GetRoutineFolder`\\n[...]\\n#### `CreateRoutineFolder`\\n[...]\\nModels (Schemas)\\n[...]\\n### Hevy\\n[...]\\n### HevyRoutine\\n[...]\\n### HevyRoutineFolder\\n[...]\\n### HevyExercise\\n[...]\\n### HevyUserInfo\\n[...]\\n| Property | Type | JSON Key | Description |\\n|---|---|---|---|\\n| `Username` | `string?` | `username` | Hevy username |\\n| `CreatedAt` | `string?` | `created_at` | Account creation date |\\n| `WeightUnit` | `string?` | `weight_unit` | Preferred weight unit (`\\\"kg\\\"` or `\\\"lbs\\\"`) |\\n| `DistanceUnit` | `string?` | `distance_unit` | Preferred distance unit (`\\\"km\\\"` or `\\\"mi\\\"`) |\\n[...]\\nPaginated Responses\\n[...]\\n### PaginatedRoutine\\n[...]\\nThe Hevy API requires POST and PUT bodies to be wrapped in their resource name. HevySharp does this automatically:\\n[...]\\n| Method | JSON Wrapper Key |\\n|---|---|\\n| `CreateWorkout` / `UpdateWorkout` | `\\\"workout\\n[...]\\n|\\n| `CreateRoutine` / `UpdateRoutine` | `\\\"routine\\n[...]\\n|\\n| `CreateRoutineFolder` | `\\\"routine_folder\\\"` |\\n| `CreateExerciseTemplate` | `\\\"exercise_template\\\"` |\\n[...]\\n## Error Handling\\n[...]\\n- **Not authorised:** All methods (except `AuthoriseHevy`) throw `InvalidOperationException` if `IsAuthorised` is `false`.\\n- **HTTP errors:** Methods call `response.EnsureSuccessStatusCode()` which throws `HttpRequestException` on non-2xx responses. Catch this to handle API errors:\\n[...]\\nTesting and Dependency Injection\\n[...]\\nHevySharp accepts\\n[...]\\n// Inject into HevyAPI\\nvar api = new HevyAPI(new HttpClient(handler));\\n[...]\\nawait api.AuthoriseHevy(\\\"test-key\\\");\",\n \"position\": 3\n },\n {\n \"url\": \"https://pypi.org/project/hevy-cli/\",\n \"title\": \"hevy-cli v0.2.1\",\n \"description\": \"CLI for the Hevy workout tracking API\\n[...]\\n- Changelog: https://github.com/marinsalinas/hevy-cli/blob/main/CHANGELOG.md\\n- Documentation: https://github.com/marinsalinas/hevy-cli#readme\\n- Homepage: https://github.com/marinsalinas/hevy-cli\\n- Issues: https://github.com/marinsalinas/hevy-cli/issues\\n- Repository: https://github.com/marinsalinas/hevy-cli\\n[...]\\n> A typed, testable CLI for the Hevy workout tracking API.\\n[...]\\n- Full Hevy API coverage — workouts, routines, folders, exercises, history\\n- Multiple output formats — table (rich), JSON, YAML (auto-selected by TTY)\\n- Auto-pagination — fetch all results with `--all`\\n- Flexible auth — env var, flag, or config file (XDG-compliant)\\n- Typed end-to-end — pydantic v2 models, mypy `--strict`, pyright-friendly\\n- Retry logic — exponential backoff on rate limits and server errors (tenacity)\\n- Structured logging — `structlog` with JSON output in `--debug`\\n- Tested — pytest + respx against the real API shapes\\n[...]\\n## Quick Start\\n[...]\\n### 1. Get your API key\\n\\nGo to hevy.com/settings?developer (requires Hevy Pro).\\n[...]\\n### 2. Configure\\n[...]\\n```bash\\n# Option A: Environment variable\\nexport HEVY_API_KEY=\\\"your-api-key\\\"\\n\\n# Option B: Config file\\nhevy config set auth.api_key \\\"your-api-key\\\"\\n\\n# Option C: Per-command flag\\nhevy --api-key \\\"your-api-key\\\" workouts list\\n```\\n[...]\\n```bash\\n# List recent workouts\\nhevy workouts list\\n[...]\\n# Create a workout from file\\nhevy workouts create --\\n[...]\\n# List routines\\nhevy routines list\\n[...]\\n# List routine\\n[...]\\nConfig is stored at `~/.config/hevy/config.toml` (XDG compliant):\\n[...]\\n```toml\\n[auth]\\napi_key = \\\"your-api-key\\\"\\n\\n[output]\\nformat = \\\"table\\\" # json | table | yaml\\ncolor = true\\n[...]\\n[api]\\nbase_url = \\\"https://api.hevy.com\\\"\\ntimeout = 30\\nmax_retries = 3\\n```\\n[...]\\n## API Coverage\\n[...]\\n| Resource | list | get | create | update | count | events | history |\\n| --- | --- | --- | --- | --- | --- | --- | --- |\\n| Workouts | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | — |\\n| Routines | ✅ | ✅ | ✅ | ✅ | — | — | — |\\n| Folders | ✅ | ✅ | ✅ | — | — | — | — |\\n| Exercises | ✅ | ✅ | ✅ | — | — | — | ✅ |\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/SteveG/underthebar/blob/main/hevy_api.py\",\n \"title\": \"hevy_api.py at main · SteveG/underthebar\",\n \"description\": \"# Temporary work around method of logging in - requires that a valid access_token and refresh_token are provided\\n[...]\\n# Gets refreshed tokens and then downloads account.json, the profile pic, and the workout_count\\n[...]\\n200 if all successful\\n[...]\\n#\\t\\ndef temp_login(old_access_token, old_refresh_token\\n[...]\\nhome_folder = str(Path.home())\\n[...]\\nutb_folder = home_folder + \\\"/.underthebar\\\"\\n[...]\\n.path.exists(utb_folder):\\n\\t\\tos.makedirs(utb_folder\\n[...]\\nos.makedirs(utb_folder+\\\"/\\n[...]\\n, r.request.headers, r.request.body\\n[...]\\n= returned_json[\\\"\\n[...]\\nprint(\\\"Access_\\n[...]\\n\\\", access_token\\n[...]\\n= returned_json[\\\"expires_at\\\"]\\n\\t\\tprint(\\\"Expires_At\\\", access_token_expiry\\n[...]\\n= returned_\\n[...]\\n[\\\"refresh_\\n[...]\\n\\\", refresh_\\n[...]\\nheaders.update({'Authorization': \\\"Bearer \\\"+access_token\\n[...]\\nhttps://api\\n[...]\\ndata = r\\n[...]\\nEtag\\\":r.headers\\n[...]\\n#print(json.dumps(r.json(), indent=4, sort_keys=True\\n[...]\\nuser_id = data[\\\"id\\\"]\\n[...]\\nuser_folder = utb_folder + \\\"/\\n[...]\\nif not os.path.exists\\n[...]\\nos.\\n[...]\\nos.makedirs(\\n[...]\\nb_folder+\\\"/\\n[...]\\n\\\":access_\\n[...]\\n\\\":access_token_expiry, \\\"\\n[...]\\n_token\\\":refresh_\\n[...]\\nuser_id},\\n[...]\\nworkout_count\\n[...]\\nlogin(user, password):\\n\\thome_folder = str(Path.home())\\n\\tutb_folder = home_folder + \\\"/.underthebar\\\"\\n\\n\\tif not os.path.exists(utb_folder):\\n\\t\\tos.makedirs(utb_folder)\\n\\t\\tos.makedirs(utb_folder+\\\"/temp\\\")\\n\\n\\theaders = BASIC_HEADERS.copy()\\n\\t\\n\\t# Post username and password to Hevy\\n\\ts = requests.Session()\\n\\t\\n\\tprint(headers)\\n\\t#return 101\\n\\tr = s.post('https://api.hevyapp.com/login', data=json.dumps({'emailOrUsername':user,'password':password}), headers=headers)\\n\\tprint(r.status_code, r.request.headers, r.request.body)\\n\\t\\n\\tif r.status_code == 200:\\n\\t\\tjson_content = r.json()\\n\\t\\tprint(json.dumps(indent=2))\\n\\t\\treturn r.status_code\\n\\t\\t\\n\\t\\ts.headers.update({'auth-token': json_content['auth_token']})\\n\\t\\t\\n\\t\\tauth_token = json_content['auth_token']\\n\\t\\n\\t\\tr = s.get(\\\"https://api.hevyapp.com/account\\\", headers=headers)\\n\\t\\tif r.status_code == 200:\\n\\t\\t\\tdata = r.json()\\n\\t\\t\\t\\n\\t\\t\\taccount_data = {\\\"data\\\":data, \\\"Etag\\\":r.headers['Etag']}\\n\\t\\t\\t#print(json.dumps(r.json(), indent=4, sort_keys=True))\\n\\t\\t\\t\\n\\t\\t\\tuser_id = data[\\\"id\\\"]\\n\\t\\t\\t\\n\\t\\t\\tuser_folder = utb_folder + \\\"/user_\\\"+user_id\\n[...]\\nif not os.path.exists(user_folder):\\n\\t\\t\\t\\tos.makedirs(user_folder)\\n[...]\\nos.makedirs(user_folder+\\\"/workouts\\\")\\n\\t\\t\\t\\tos.makedirs(user_folder+\\\"/routines\\\")\\n[...]\\nwith open(utb_folder+\\\"/session.json\\\", 'w') as f:\\n\\t\\t\\t\\tjson.dump({\\\"auth-token\\\":auth_token,\\\"user-id\\\":user_id},f)\\n\\t\\t\\t\\n\\t\\t\\twith open(user_folder+\\\"/account.json\\\", 'w') as f:\\n\\t\\t\\t\\tjson.dump(account_data, f)\\n\\t\\t\\t\\n\\t\\t\\tif \\\"profile_pic\\n[...]\\nin data:\\n\\t\\t\\t\\timage\\n[...]\\n= data[\\\"profile_pic\\\"]\\n[...]\\n.status_\\n[...]\\nuser_folder+\\\"/\\n[...]\\nout_file\\n[...]\\n_file)\\n[...]\\n# Similar to workouts sync\\n[...]\\nbut for saved routines\\n#\\ndef routines_sync_batch():\\n\\t# Make sure user is logged in, have their folder, and auth-token\\n\\tuser_data = is_logged_in()\\n\\tif user_data[0] == False:\\n\\t\\treturn 403\\n\\tuser_folder = user_data[1]\\n\\tauth_token = user_data[2]\\n\\t\\n\\t\\n\\t# Workouts subfolder\\t\\n\\tworkouts_folder = user_folder + \\\"/workouts\\\"\\n\\troutines_folder = user_folder + \\\"/routines\\\"\\n\\tif not os.path.exists(routines_folder):\\n\\t\\tos.makedirs(routines_folder)\\n\\t\\n\\t# Create required\\n[...]\\nheaders = BASIC_HEADERS.copy()\\n\\t#headers[\\\"auth-token\\\"] = auth_token # update for hevy api change\\n\\theaders[\\\"Authorization\\\"] = \\\"Bearer \\\"+auth_token\\t\\n\\t\\n\\t# Go through all workouts and compile the workout ID and when it was updated\\n\\texisting_data = {}\\n\\texisting_id_file = {}\\n\\tfor file in os.listdir(routines_folder):\\n\\t\\tmatch_workout = re.search('^routine_([A-Za-z0-9_-]+).json\\\\Z',file)\\n\\t\\tif match_workout:\\n\\t\\t\\t\\n\\t\\t\\tf = open(routines_folder+'/'+file)\\n\\t\\t\\tworkout_data = json.load(f)\\n\\t\\t\\texisting_data[workout_data['id']] = workout_data['updated_at']\\n\\t\\t\\texisting_id_file[workout_data['id']] = file\\n\\t\\n\\t# Post our existing data that we have compiled, and see what gets returned\\n\\ts = requests.Session()\\n[...]\\ns.post\\n[...]\\n', data=json.dumps\\n[...]\\n_data), headers\\n[...]\\nheaders)\\n[...]\\nr.json\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_qTE6gu1cRznn0INQL4bE8F2u" }, { "role": "tool", "name": "web_search", "content": "{\n \"success\": true,\n \"data\": {\n \"web\": [\n {\n \"url\": \"https://api.hevyapp.com/docs/\",\n \"title\": \"Swagger UI - Hevy app\",\n \"description\": \"Swagger UI\\n\\nExplore\\n\\n```\\n 0.0.1 \\n```\\n\\n```\\nOAS 3.0\\n```\\n\\n## Hevy API Docs\\n\\n```\\n Welcome to Hevy's public API! We're just starting to roll this out and depending on your\\n feedback, we'll be adding more features and endpoints. Also, we make no guarantees that \\n we won't completely change the structure or abandon the project entirely so use it at\\n your own risk. Currently, this API is only available to Hevy Pro users. You can get your \\n key on our web app at https://hevy.com/settings?developer. If you have any questions,\\n please reach out to pedro@hevyapp.com 🤝.\\n\\n```\\n\\n### Workouts\\n\\nGET\\n\\n/v1/workouts\\n\\nGet a paginated list of workouts\\n\\nPOST\\n\\n/v1/workouts\\n\\nCreate a new workout\\n\\nGET\\n\\n/v1/workouts/count\\n\\nGet the total number of workouts on the account\\n\\nGET\\n\\n/v1/workouts/events\\n\\nRetrieve a paged list of workout events (updates or deletes) since a given date. Events are ordered from newest to oldest. The intention is to allow clients to keep their local cache of workouts up to date without having to fetch the entire list of workouts.\\n\\nGET\\n\\n/v1/workouts/{workoutId}\\n\\nGet a single workout’s complete details by the workoutId\\n\\nPUT\\n\\n/v1/workouts/{workoutId}\\n\\nUpdate an existing workout\\n\\n### Users\\n\\nGET\\n\\n/v1/user/info\\n\\nGet user info\\n\\n### Routines\\n\\nGET\\n\\n/v1/routines\\n\\nGet a paginated list of routines\\n\\nPOST\\n\\n/v1/routines\\n\\nCreate a new routine\\n\\nGET\\n\\n/v1/routines/{routineId}\\n\\nGet a routine by its Id\\n\\nPUT\\n\\n/v1/routines/{routineId}\\n\\nUpdate an existing routine\\n\\n### ExerciseTemplates\\n\\nGET\\n\\n/v1/exercise_templates\\n\\nGet a paginated list of exercise templates available on the account.\\n\\nPOST\\n\\n/v1/exercise_templates\\n\\nCreate a new custom exercise template.\\n\\nGET\\n\\n/v1/exercise_templates/{exerciseTemplateId}\\n\\nGet a single exercise template by id.\\n\\n### RoutineFolders\\n\\nGET\\n\\n/v1/routine_folders\\n\\nGet a paginated list of routine folders available on the account.\\n\\nPOST\\n\\n/v1/routine_folders\\n\\nCreate a new routine folder. The folder will be created at index 0, and all other folders will have their indexes incremented.\\n\\nGET\\n\\n/v1/routine_folders/{folderId}\\n\\nGet a single routine folder by id.\\n\\n### ExerciseHistory\\n\\nGET\\n\\n/v1/exercise_history/{exerciseTemplateId}\\n\\nGet exercise history for a specific exercise template\\n\\n### Measurements\\n\\nGET\\n\\n/v1/body_measurements\\n\\nGet a paginated list of body measurements for the authenticated user\\n\\nPOST\\n\\n/v1/body_measurements\\n\\nCreate a body measurement entry for a given date. Returns 409 if an entry already exists for that date.\\n\\nGET\\n\\n/v1/body_measurements/{date}\\n\\nGet a single body measurement by date\\n\\nPUT\\n\\n/v1/body_measurements/{date}\\n\\nUpdate an existing body measurement entry for a given date. All fields are overwritten; omitted fields are set to null.\\n\\n#### Schemas\\n\\nPostWorkoutsRequestSet\\n\\nPostWorkoutsRequestExercise\\n\\nPostWorkoutsRequestBody\\n\\nPostRoutinesRequestSet\\n\\nPostRoutinesRequestExercise\\n\\nPostRoutinesRequestBody\\n\\nPutRoutinesRequestSet\\n\\nPutRoutinesRequestExercise\\n\\nPutRoutinesRequestBody\\n\\nPostRoutineFolderRequestBody\\n\\nBodyMeasurement\\n\\nPutBodyMeasurement\\n\\nSet\\n\\nExercise\\n\\nExerciseHistoryEntry\\n\\nCustomExerciseType\\n\\nMuscleGroup\\n\\nEquipmentCategory\\n\\nExerciseTemplate\\n\\nCreateCustomExerciseRequestBody\\n\\nRoutineFolder\\n\\nRoutine\\n\\nUserInfo\\n\\nUserInfoResponse\\n\\nWorkout\\n\\nUpdatedWorkout\\n\\nDeletedWorkout\\n\\nPaginatedWorkoutEvents\",\n \"position\": 1\n },\n {\n \"url\": \"https://api.hevyapp.com/\",\n \"title\": \"\",\n \"description\": \"Hevy\\n\\n# H E V Y\\n[...]\\n# H E V Y\",\n \"position\": 2\n },\n {\n \"url\": \"https://github.com/chrisdoc/hevy-api-client\",\n \"title\": \"chrisdoc/hevy-api-client\",\n \"description\": \"A TypeScript client for the Hevy API, generated from the official OpenAPI specification.\\n[...]\\nTypeScript/JavaScript client for the Hevy API, generated from the OpenAPI spec with @hey-api/openapi-ts. Uses Axios under the hood. Includes Zod schemas for request/response validation.\\n[...]\\nThe Hevy API requires an `api-key` header. Configure it once before making requests:\\n[...]\\n### Custom client instance\\n[...]\\nUse `createClient` with `createHevyConfig` for isolated instances (baseURL defaults to `https://api.hevyapp.com`):\\n[...]\\n```ts\\nimport { createClient, createHevyConfig, getV1Workouts } from \\\"hevy-api-client\\\";\\n\\nconst client = createClient(createHevyConfig({ apiKey: \\\"YOUR_KEY\\\" }));\\n\\nawait getV1Workouts({ client });\\n```\\n[...]\\nOr use `createConfig` with explicit baseURL:\\n[...]\\n```ts\\nimport { createClient, createConfig, getV1Workouts } from \\\"hevy-api-client\\\";\\n\\nconst client = createClient(\\n createConfig({\\n baseURL: \\\"https://api.hevyapp.com\\\",\\n headers: { \\\"api-key\\\": \\\"YOUR_KEY\\\" },\\n }),\\n);\\n```\",\n \"position\": 3\n },\n {\n \"url\": \"https://skills.rest/skill/hevy\",\n \"title\": \"hevy: Access Hevy workouts via public API | skills.rest\",\n \"description\": \"hevy: Access Hevy workouts via public API | skills.rest\\n[...]\\nAccess Hevy workouts via public API.\\n[...]\\n## System Documentation\\n[...]\\nThe Hevy public API enables programmatic access to workout data, allowing automation and integration with your tools and dashboards.\\n[...]\\n- List workouts, fetch workout details, and retrieve exercise history via the /v1/workouts endpoints.\\n- Create and update workouts programmatically, enabling automation of workout logging and analysis.\\n- Use cases include syncing workouts to dashboards, mobile apps, or home automation workflows.\\n[...]\\nLoad HEVY_API_KEY from your environment (.env) and set the base URL to https://api.hevyapp.com. Then make authenticated requests, for example: curl -H \\\"api-key: $HEVY_API_KEY\\\" \\\"https://api.hevyapp.com/v1/workouts?page=1&pageSize=5\\\"\",\n \"position\": 4\n },\n {\n \"url\": \"https://github.com/mjrussell/hevy-cli\",\n \"title\": \"mjrussell/hevy-cli\",\n \"description\": \"> **⚠️ Unofficial CLI for Hevy** \\n> Not affiliated with or endorsed by Hevy.\\n[...]\\nA command-line interface for Hevy workout tracking. View workouts, routines, exercises, and more from your terminal.\\n[...]\\n**Requires Hevy Pro** for API access.\\n[...]\\n1. Get your API key from Hevy Developer Settings (requires Hevy Pro)\\n2. Set the environment variable:\\n[...]\\n```bash\\nexport HEVY_API_KEY=\\\"your-api-key-here\\\"\\n```\\n[...]\\nAdd this to your shell profile (`~/.zshrc`, `~/.bashrc`, etc.) to persist it.\\n[...]\\nwhere applicable)\\n[...]\\n## Environment Variables\\n[...]\\n| Variable | Description |\\n| --- | --- |\\n| `HEVY_API_KEY` | **Required.** Your Hevy API key |\\n| `NO_COLOR` | Disable colored output (any value) |\\n[...]\\n## API Client\\n[...]\\nThis package also exports a TypeScript client for programmatic use:\\n\\n```typescript\\nimport { HevyClient } from 'hevy-cli';\\n\\nconst client = new HevyClient({ apiKey: process.env.HEVY_API_KEY });\\n\\nconst workouts = await client.getRecentWorkouts(5);\\nconst routines = await client.getAllRoutines();\\nconst exercises = await client.searchExerciseTemplates('squat');\\n```\\n[...]\\nRequires Hevy Pro subscription for API access.\",\n \"position\": 5\n }\n ]\n }\n}", "tool_call_id": "call_PYTBaUBFrWWGuUl9FM8pAzuk" }, { "role": "assistant", "content": "## Informe técnico: conectar Hermes Agent/Pipo con apps salud/nutrición/actividad\n\nObjetivo: que Pipo lea nutrición, peso, actividad, sueño y entrenamiento de Ignacio/Chicho — Android/Pixel, Buenos Aires, Hevy ya conectado, programa Jeff Nippard Min-Max 4-day — para ajustar entrenamiento y porciones automáticamente.\n\n---\n\n# Recomendación ejecutiva\n\n## Mejor stack para Pipo\n\n1. **Hevy** como fuente principal de entrenamiento.\n - Ya conectado.\n - API pública, estable aunque joven.\n - Permite leer workouts/routines/exercise history y escribir/actualizar workouts/routines.\n\n2. **Fitbit Web API** como fuente cloud principal de:\n - sueño,\n - pasos,\n - actividad,\n - frecuencia cardíaca,\n - peso,\n - nutrición si se usa Fitbit food logging.\n - Es la opción más limpia si Ignacio usa dispositivo Fitbit/Pixel Watch con Fitbit.\n\n3. **Health Connect** como hub local Android.\n - Ideal para Android/Pixel.\n - Pero necesita **Android bridge/app local**, porque no hay API cloud directa.\n - Útil para leer datos agregados de Google Fit, Fitbit, báscula, sueño, etc. desde el teléfono.\n\n4. **MacroFactor** como fuente nutricional premium si Ignacio lo usa o quiere usar.\n - No tiene API oficial pública.\n - Hay repo reverse-engineered vía Firebase/Firestore: `github.com/sjawhar/macrofactor`.\n - Muy útil para gasto energético dinámico, peso y logging nutricional, pero requiere validación y cuidado.\n\n5. **MyFitnessPal** si se consigue acceso partner.\n - Tiene API OAuth2 oficial en `myfitnesspalapi.com`.\n - Pero el acceso parece orientado a partners; requiere validar alta de app/API.\n\n6. **Cronometer** si se priorizan micronutrientes.\n - Sin API pública individual oficial.\n - Hay MCP/reverse-engineered.\n - Factible para uso personal, menos recomendable como integración robusta.\n\n7. **Google Fit**\n - No conviene iniciar integración nueva.\n - REST API deprecándose / end-of-service late 2026.\n - Migrar a Health Connect o Google Health API.\n\n---\n\n# Arquitectura propuesta para Hermes/Pipo\n\n## Componentes\n\n```text\nHermes Agent / Pipo\n |\n v\nIntegration Service Python\n |\n +-- hevy_connector.py\n +-- fitbit_connector.py\n +-- macrofactor_connector.py\n +-- mfp_connector.py\n +-- cronometer_connector.py\n +-- healthconnect_android_bridge.py\n |\n v\nNormalized Health DB\nPostgres/SQLite\n |\n +-- nutrition_daily\n +-- body_weight\n +-- activity_daily\n +-- sleep_daily\n +-- workouts\n +-- workout_sets\n +-- readiness_daily\n +-- recommendations\n```\n\n## Jobs recomendados\n\n```text\nCada 15-30 min:\n- sync Hevy workout events\n- sync Fitbit activity/sleep/weight\n- sync Health Connect bridge if available\n\nCada noche:\n- recomputar readiness\n- revisar sueño, pasos, HR/resting HR si está disponible\n- ajustar intensidad sugerida del próximo entrenamiento\n\nCada mañana:\n- generar check-in: peso, sueño, fatiga, entrenamiento próximo\n\nCada semana:\n- evaluar tendencia de peso 7/14 días\n- ajustar porciones/macros\n- detectar estancamiento de cargas en Hevy\n```\n\n## Token storage\n\nUsar almacenamiento cifrado:\n\n```text\n~/.hermes/secrets/\n fitbit_token.json.enc\n hevy_api_key.enc\n macrofactor_refresh_token.enc\n mfp_token.json.enc\n```\n\nIdeal:\n- `keyring` en local.\n- O `age`/`sops`.\n- Nunca guardar passwords planos.\n- Preferir refresh tokens cuando existan.\n- Para reverse-engineered APIs, guardar cookies/tokens y documentar riesgo.\n\n## Schema mínimo normalizado\n\n```sql\nCREATE TABLE nutrition_daily (\n source TEXT,\n date DATE,\n calories REAL,\n protein_g REAL,\n carbs_g REAL,\n fat_g REAL,\n fiber_g REAL,\n sodium_mg REAL,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE body_weight (\n source TEXT,\n timestamp TIMESTAMP,\n weight_kg REAL,\n body_fat_pct REAL,\n raw_json JSON,\n PRIMARY KEY (source, timestamp)\n);\n\nCREATE TABLE activity_daily (\n source TEXT,\n date DATE,\n steps INTEGER,\n active_minutes INTEGER,\n calories_out REAL,\n distance_km REAL,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE sleep_daily (\n source TEXT,\n date DATE,\n duration_min INTEGER,\n efficiency REAL,\n deep_min INTEGER,\n rem_min INTEGER,\n light_min INTEGER,\n awake_min INTEGER,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE workouts (\n source TEXT,\n workout_id TEXT,\n started_at TIMESTAMP,\n ended_at TIMESTAMP,\n title TEXT,\n raw_json JSON,\n PRIMARY KEY (source, workout_id)\n);\n\nCREATE TABLE workout_sets (\n source TEXT,\n workout_id TEXT,\n exercise_id TEXT,\n exercise_name TEXT,\n set_index INTEGER,\n reps REAL,\n weight_kg REAL,\n rpe REAL,\n rir REAL,\n raw_json JSON\n);\n```\n\n---\n\n# 1. MacroFactor\n\n## Estado\n\n- **Tipo de API:** no oficial, reverse-engineered.\n- **Backend:** Firebase/Firestore.\n- **Repo:** https://github.com/sjawhar/macrofactor\n- **Docs API:** https://github.com/sjawhar/macrofactor/blob/main/docs/api-reference.md\n- **Base Firestore:** \n `https://firestore.googleapis.com/v1/projects/sbs-diet-app/databases/(default)/documents`\n- **Auth:** Firebase Identity Toolkit.\n- **Factibilidad:** **3.5/5**\n- **Costo:** requiere suscripción activa de MacroFactor. Integración en sí sin costo, pero no oficial.\n\n## Datos accesibles según repo\n\nEl repo declara lectura/escritura de:\n\n- food logs,\n- weight entries,\n- nutrition summaries,\n- workouts,\n- custom exercises,\n- gym profiles,\n- food search vía Typesense,\n- creación/actualización de food log entries,\n- creación/actualización de workouts/sets,\n- logging de peso.\n\n## Auth\n\nFlujo documentado por el repo:\n\n```text\nPOST https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={API_KEY}\n\nDevuelve:\n- idToken\n- refreshToken\n\nUsar:\nAuthorization: Bearer \ncontra Firestore REST.\n```\n\nToken refresh:\n\n```text\nPOST https://securetoken.googleapis.com/v1/token?key={API_KEY}\n```\n\n## Riesgos / validaciones\n\n- No es API oficial.\n- Requiere extraer/usar API key Firebase del cliente; requiere validación legal/ToS.\n- App Check bloquea algunas colecciones de referencia.\n- El repo resuelve referencia local usando JSON extraído del APK.\n- Requiere validación con una cuenta real.\n- No guardar password plano: preferir refresh token.\n\n## Python skeleton\n\n```python\nimport os\nimport httpx\nfrom datetime import date\n\nFIREBASE_API_KEY = os.environ[\"MACROFACTOR_FIREBASE_API_KEY\"]\nEMAIL = os.environ[\"MACROFACTOR_EMAIL\"]\nPASSWORD = os.environ[\"MACROFACTOR_PASSWORD\"]\n\nIDENTITY_URL = (\n \"https://identitytoolkit.googleapis.com/v1/\"\n f\"accounts:signInWithPassword?key={FIREBASE_API_KEY}\"\n)\nREFRESH_URL = (\n \"https://securetoken.googleapis.com/v1/\"\n f\"token?key={FIREBASE_API_KEY}\"\n)\nFIRESTORE_BASE = (\n \"https://firestore.googleapis.com/v1/projects/\"\n \"sbs-diet-app/databases/(default)/documents\"\n)\n\n\ndef login():\n payload = {\n \"email\": EMAIL,\n \"password\": PASSWORD,\n \"returnSecureToken\": True,\n }\n r = httpx.post(IDENTITY_URL, json=payload, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef refresh_id_token(refresh_token: str):\n payload = {\n \"grant_type\": \"refresh_token\",\n \"refresh_token\": refresh_token,\n }\n r = httpx.post(REFRESH_URL, data=payload, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef firestore_get(path: str, id_token: str):\n url = f\"{FIRESTORE_BASE}/{path.lstrip('/')}\"\n headers = {\"Authorization\": f\"Bearer {id_token}\"}\n r = httpx.get(url, headers=headers, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef main():\n tokens = login()\n id_token = tokens[\"idToken\"]\n user_id = tokens[\"localId\"]\n\n # Requiere validar paths exactos contra docs/repo.\n # Ejemplos conceptuales:\n # food_logs = firestore_get(f\"users/{user_id}/foodLogs\", id_token)\n # weights = firestore_get(f\"users/{user_id}/weights\", id_token)\n\n print(\"Logged in:\", user_id)\n\n\nif __name__ == \"__main__\":\n main()\n```\n\n## Uso para Pipo\n\nMuy valioso si Ignacio usa MacroFactor:\n\n- leer promedio calórico real,\n- leer peso/tendencia,\n- cruzar con progreso Hevy,\n- ajustar porciones:\n - si peso baja más rápido de lo deseado y rendimiento cae: subir carbs/calorías,\n - si peso no baja y adherencia alta: bajar 100-150 kcal,\n - si proteína baja: recomendar porciones concretas.\n\n---\n\n# 2. MyFitnessPal\n\n## Estado\n\n- **Tipo de API:** REST oficial con OAuth2 Authorization Code.\n- **Docs:** https://myfitnesspalapi.com/docs/\n- **Auth docs:** https://myfitnesspalapi.com/docs/user-authentication/\n- **OAuth params:** https://myfitnesspalapi.com/docs/request-query-parameters/\n- **Factibilidad:** **2.5/5**\n- **Costo:** requiere acceso partner / client id y client secret. Costo no público; requiere validación.\n\n## Datos accesibles\n\nScopes documentados:\n\n```text\nmeasurements\ndiary\nprivate-exercises\nsubscriptions\n```\n\nPotencial:\n\n- diario nutricional,\n- mediciones/peso,\n- ejercicios privados,\n- suscripciones.\n\n## Auth\n\nOAuth2 Authorization Code:\n\n```text\nGET /oauth2/auth\n response_type=code\n client_id=...\n redirect_uri=...\n scope=diary measurements private-exercises subscriptions\n state=...\n\nPOST token endpoint\n code\n client_id\n client_secret\n redirect_uri\n```\n\nLa documentación indica access token + refresh token.\n\n## Riesgos / validaciones\n\n- Requiere acceso oficial de partner.\n- Hay que validar disponibilidad para desarrollador individual.\n- No asumir acceso hasta tener client id/secret.\n- Si no se consigue acceso, no conviene invertir.\n\n## Python skeleton con Authlib\n\n```python\nimport os\nfrom authlib.integrations.requests_client import OAuth2Session\n\nCLIENT_ID = os.environ[\"MFP_CLIENT_ID\"]\nCLIENT_SECRET = os.environ[\"MFP_CLIENT_SECRET\"]\nREDIRECT_URI = os.environ[\"MFP_REDIRECT_URI\"]\n\nAUTHORIZE_URL = \"https://api.myfitnesspal.com/v2/oauth2/auth\"\nTOKEN_URL = \"https://api.myfitnesspal.com/v2/oauth2/token\"\nAPI_BASE = \"https://api.myfitnesspal.com/v2\"\n\nSCOPES = [\"diary\", \"measurements\", \"private-exercises\", \"subscriptions\"]\n\n\ndef build_auth_url():\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n scope=\" \".join(SCOPES),\n redirect_uri=REDIRECT_URI,\n )\n uri, state = client.create_authorization_url(AUTHORIZE_URL)\n return uri, state\n\n\ndef exchange_code(code: str):\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n redirect_uri=REDIRECT_URI,\n )\n token = client.fetch_token(TOKEN_URL, code=code)\n return token\n\n\ndef get_diary(token: dict, date: str):\n client = OAuth2Session(CLIENT_ID, CLIENT_SECRET, token=token)\n # Endpoint exacto requiere validar contra docs de recursos MFP.\n r = client.get(f\"{API_BASE}/diary\", params={\"date\": date})\n r.raise_for_status()\n return r.json()\n\n\nif __name__ == \"__main__\":\n url, state = build_auth_url()\n print(\"Open:\", url)\n```\n\n## Uso para Pipo\n\nSi se consigue acceso:\n\n- leer calories/protein/carbs/fat por día,\n- detectar adherencia,\n- cruzar entrenamiento/peso,\n- generar recomendaciones de porciones.\n\nPero como integración práctica inmediata, queda debajo de Fitbit/MacroFactor/Health Connect.\n\n---\n\n# 3. Fitbit\n\n## Estado\n\n- **Tipo de API:** Web API oficial REST.\n- **Docs base:** https://dev.fitbit.com/build/reference/web-api/\n- **OAuth2:** https://dev.fitbit.com/build/reference/web-api/oauth2\n- **Nutrition:** https://dev.fitbit.com/build/reference/web-api/nutrition\n- **Activity:** https://dev.fitbit.com/build/reference/web-api/activity\n- **Factibilidad:** **4.5/5**\n- **Costo:** gratis para uso developer normal; sujeto a políticas y cuotas. Requiere registrar app.\n\n## Datos accesibles\n\nScopes relevantes:\n\n```text\nactivity\nheartrate\nnutrition\nprofile\nsettings\nsleep\nweight\nrespiratory_rate\noxygen_saturation\ntemperature\nlocation\n```\n\nDatos útiles para Pipo:\n\n- pasos diarios,\n- calorías quemadas,\n- active minutes,\n- distancia,\n- workouts/cardio,\n- sueño y etapas,\n- resting HR,\n- HRV si disponible según endpoint/producto,\n- peso,\n- grasa corporal,\n- food/water logs si se usan.\n\n## Auth\n\nFitbit recomienda OAuth2 Authorization Code con PKCE.\n\nAuthorize:\n\n```text\nhttps://www.fitbit.com/oauth2/authorize\n client_id=...\n response_type=code\n code_challenge=...\n code_challenge_method=S256\n scope=activity heartrate nutrition sleep weight profile\n```\n\nToken:\n\n```text\nPOST https://api.fitbit.com/oauth2/token\n```\n\nDevuelve:\n\n```json\n{\n \"access_token\": \"...\",\n \"expires_in\": 28800,\n \"refresh_token\": \"...\",\n \"scope\": \"...\",\n \"token_type\": \"Bearer\",\n \"user_id\": \"...\"\n}\n```\n\n## Python skeleton\n\n```python\nimport os\nimport base64\nimport hashlib\nimport secrets\nimport httpx\nfrom urllib.parse import urlencode\n\nCLIENT_ID = os.environ[\"FITBIT_CLIENT_ID\"]\nCLIENT_SECRET = os.getenv(\"FITBIT_CLIENT_SECRET\") # server apps\nREDIRECT_URI = os.environ[\"FITBIT_REDIRECT_URI\"]\n\nAUTH_URL = \"https://www.fitbit.com/oauth2/authorize\"\nTOKEN_URL = \"https://api.fitbit.com/oauth2/token\"\nAPI_BASE = \"https://api.fitbit.com/1/user/-\"\n\nSCOPES = [\n \"activity\",\n \"heartrate\",\n \"nutrition\",\n \"profile\",\n \"settings\",\n \"sleep\",\n \"weight\",\n]\n\n\ndef make_pkce():\n verifier = base64.urlsafe_b64encode(secrets.token_bytes(32)).rstrip(b\"=\").decode()\n challenge = base64.urlsafe_b64encode(\n hashlib.sha256(verifier.encode()).digest()\n ).rstrip(b\"=\").decode()\n return verifier, challenge\n\n\ndef build_auth_url():\n verifier, challenge = make_pkce()\n params = {\n \"client_id\": CLIENT_ID,\n \"response_type\": \"code\",\n \"code_challenge\": challenge,\n \"code_challenge_method\": \"S256\",\n \"scope\": \" \".join(SCOPES),\n \"redirect_uri\": REDIRECT_URI,\n }\n return f\"{AUTH_URL}?{urlencode(params)}\", verifier\n\n\ndef exchange_code(code: str, code_verifier: str):\n data = {\n \"client_id\": CLIENT_ID,\n \"grant_type\": \"authorization_code\",\n \"code\": code,\n \"code_verifier\": code_verifier,\n \"redirect_uri\": REDIRECT_URI,\n }\n auth = (CLIENT_ID, CLIENT_SECRET) if CLIENT_SECRET else None\n r = httpx.post(TOKEN_URL, data=data, auth=auth, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef refresh_token(refresh_token_value: str):\n data = {\n \"grant_type\": \"refresh_token\",\n \"refresh_token\": refresh_token_value,\n \"client_id\": CLIENT_ID,\n }\n auth = (CLIENT_ID, CLIENT_SECRET) if CLIENT_SECRET else None\n r = httpx.post(TOKEN_URL, data=data, auth=auth, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef fitbit_get(access_token: str, path: str):\n headers = {\"Authorization\": f\"Bearer {access_token}\"}\n r = httpx.get(f\"{API_BASE}/{path.lstrip('/')}\", headers=headers, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef get_daily_summary(access_token: str, date: str):\n return fitbit_get(access_token, f\"activities/date/{date}.json\")\n\n\ndef get_sleep(access_token: str, date: str):\n return fitbit_get(access_token, f\"sleep/date/{date}.json\")\n\n\ndef get_weight(access_token: str, date: str):\n return fitbit_get(access_token, f\"body/log/weight/date/{date}.json\")\n\n\ndef get_food(access_token: str, date: str):\n return fitbit_get(access_token, f\"foods/log/date/{date}.json\")\n```\n\n## Uso para Pipo\n\nMuy recomendable:\n\n- readiness basado en sueño + HR/resting HR + pasos,\n- ajuste de volumen/intensidad:\n - mal sueño + HR alta + DOMS: bajar RPE objetivo,\n - pasos muy altos: subir carbs o reducir cardio,\n - sueño sólido + buena tendencia: progresión normal.\n- peso/tendencia si Fitbit recibe báscula.\n\n---\n\n# 4. Google Health Connect\n\n## Estado\n\n- **Tipo de API:** Android on-device API.\n- **Docs:** https://developer.android.com/health-and-fitness/guides/health-connect/develop/get-started\n- **Codelab:** https://developer.android.com/codelabs/health-connect\n- **Factibilidad:** **4/5**, pero requiere app/bridge Android.\n- **Costo:** gratis.\n- **Cloud API directa:** no. Es device-centric.\n\n## Datos accesibles\n\nHealth Connect puede leer/escribir tipos como:\n\n- StepsRecord,\n- DistanceRecord,\n- TotalCaloriesBurnedRecord,\n- ActiveCaloriesBurnedRecord,\n- ExerciseSessionRecord,\n- SleepSessionRecord,\n- WeightRecord,\n- BodyFatRecord,\n- HeartRateRecord,\n- RestingHeartRateRecord,\n- NutritionRecord,\n- HydrationRecord,\n- etc.\n\nDepende de:\n- permisos concedidos,\n- apps fuente instaladas,\n- si esas apps escriben en Health Connect.\n\n## Auth/permisos\n\nNo usa OAuth.\n\nUsa:\n\n- permisos Android manifest,\n- pantalla de permisos Health Connect,\n- `HealthConnectClient`,\n- permisos por record type.\n\nImportante: documentación/codelab indica que la lectura tiene restricciones de privacidad y foreground. Para sync confiable hacia Hermes, hay que diseñar bridge local con consentimiento claro.\n\n## Arquitectura bridge recomendada\n\nComo Hermes corre fuera del teléfono, se necesita uno de estos:\n\n### Opción A: Android companion app\n\n```text\nPixel/Android\n Health Connect Bridge App\n lee Health Connect\n normaliza datos\n envía HTTPS a Hermes endpoint local/cloud\n```\n\n### Opción B: Termux/local bridge\n\nMenos recomendable porque Health Connect requiere app Android con SDK/permisos.\n\n### Opción C: Google Health API / Fitbit API\n\nPara cloud, mejor Fitbit/Google Health API cuando aplique.\n\n## Kotlin skeleton bridge\n\nNo es Python porque Health Connect es Android/Kotlin.\n\n```kotlin\nval permissions = setOf(\n HealthPermission.getReadPermission(StepsRecord::class),\n HealthPermission.getReadPermission(SleepSessionRecord::class),\n HealthPermission.getReadPermission(WeightRecord::class),\n HealthPermission.getReadPermission(HeartRateRecord::class),\n HealthPermission.getReadPermission(NutritionRecord::class),\n)\n\nval healthConnectClient = HealthConnectClient.getOrCreate(context)\n\nval granted = healthConnectClient.permissionController.getGrantedPermissions()\n\nif (!granted.containsAll(permissions)) {\n // Launch permission request contract from Activity\n}\n\nsuspend fun readSteps(start: Instant, end: Instant): Long {\n val response = healthConnectClient.aggregate(\n AggregateRequest(\n metrics = setOf(StepsRecord.COUNT_TOTAL),\n timeRangeFilter = TimeRangeFilter.between(start, end)\n )\n )\n return response[StepsRecord.COUNT_TOTAL] ?: 0L\n}\n```\n\n## Python receiving endpoint skeleton\n\n```python\nfrom fastapi import FastAPI, Header, HTTPException\nfrom pydantic import BaseModel\nfrom typing import Any\nimport os\n\napp = FastAPI()\n\nBRIDGE_TOKEN = os.environ[\"HEALTH_CONNECT_BRIDGE_TOKEN\"]\n\n\nclass HealthConnectPayload(BaseModel):\n source: str = \"health_connect\"\n device_id: str\n synced_at: str\n data_type: str\n records: list[dict[str, Any]]\n\n\n@app.post(\"/ingest/health-connect\")\ndef ingest_health_connect(\n payload: HealthConnectPayload,\n authorization: str | None = Header(default=None),\n):\n if authorization != f\"Bearer {BRIDGE_TOKEN}\":\n raise HTTPException(status_code=401, detail=\"unauthorized\")\n\n # TODO: validate schema per data_type and upsert normalized DB.\n return {\"ok\": True, \"received\": len(payload.records)}\n```\n\n## Uso para Pipo\n\nMuy bueno en Android/Pixel:\n\n- centraliza fuentes,\n- no depende de Apple,\n- puede leer datos de apps diversas,\n- evita integrar mil APIs.\n\nLimitación principal: necesita companion app.\n\n---\n\n# 5. Google Fit\n\n## Estado\n\n- **Tipo de API:** REST/Android legacy.\n- **Docs migración:** https://developer.android.com/health-and-fitness/health-connect/migration/fit\n- **FAQ:** https://developer.android.com/health-and-fitness/guides/health-connect/migrate/fit-apis-end-of-service\n- **Factibilidad:** **1.5/5** para integración nueva.\n- **Costo:** gratis, pero no recomendable.\n- **Estado:** deprecándose; soporte hasta late/end 2026 según docs.\n\n## Dato clave\n\nGoogle indica:\n\n- Google Fit APIs, incluyendo REST API, soportadas solo hasta fines de 2026.\n- Nuevas integraciones deberían usar:\n - **Health Connect** para mobile/on-device,\n - **Google Health API** para cloud/web-centric,\n - Fitbit Web API / Google Health API para datos de dispositivos Google/Fitbit.\n\n## Datos accesibles\n\nHistóricamente:\n\n- steps,\n- calories,\n- distance,\n- heart points,\n- weight,\n- activities/sessions,\n- sleep si estaba registrado,\n- datasets por data source.\n\nPero no conviene invertir en esto para Pipo.\n\n## Auth\n\nOAuth2 Google scopes. Requiere Google Cloud project.\n\n## Python skeleton legacy, solo si ya existe integración\n\n```python\nimport os\nimport httpx\nfrom authlib.integrations.requests_client import OAuth2Session\n\nCLIENT_ID = os.environ[\"GOOGLE_CLIENT_ID\"]\nCLIENT_SECRET = os.environ[\"GOOGLE_CLIENT_SECRET\"]\nREDIRECT_URI = os.environ[\"GOOGLE_REDIRECT_URI\"]\n\nAUTH_URL = \"https://accounts.google.com/o/oauth2/v2/auth\"\nTOKEN_URL = \"https://oauth2.googleapis.com/token\"\nFIT_BASE = \"https://www.googleapis.com/fitness/v1/users/me\"\n\nSCOPES = [\n \"https://www.googleapis.com/auth/fitness.activity.read\",\n \"https://www.googleapis.com/auth/fitness.body.read\",\n \"https://www.googleapis.com/auth/fitness.sleep.read\",\n]\n\n\ndef build_auth_url():\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n scope=\" \".join(SCOPES),\n redirect_uri=REDIRECT_URI,\n )\n uri, state = client.create_authorization_url(\n AUTH_URL,\n access_type=\"offline\",\n prompt=\"consent\",\n )\n return uri, state\n\n\ndef aggregate_steps(token: dict, start_ms: int, end_ms: int):\n client = OAuth2Session(CLIENT_ID, CLIENT_SECRET, token=token)\n body = {\n \"aggregateBy\": [\n {\"dataTypeName\": \"com.google.step_count.delta\"}\n ],\n \"bucketByTime\": {\"durationMillis\": 86400000},\n \"startTimeMillis\": start_ms,\n \"endTimeMillis\": end_ms,\n }\n r = client.post(f\"{FIT_BASE}/dataset:aggregate\", json=body)\n r.raise_for_status()\n return r.json()\n```\n\n## Recomendación\n\nNo usar salvo que Ignacio ya tenga datos históricos en Google Fit y quiera migrarlos/exportarlos.\n\nPara Pipo: **Health Connect > Google Fit**.\n\n---\n\n# 6. Cronometer\n\n## Estado\n\n- **Tipo de API:** no pública para usuarios individuales.\n- **API oficial:** Cronometer Pro dice tener API caso por caso.\n- **Pro page:** http://www.cronometer.com/pro/\n- **MCP reverse-engineered:** https://github.com/cphoskins/cronometer-mcp\n- **PyPI MCP:** https://pypi.org/project/cronometer-mcp/\n- **Mobile reverse-engineered MCP:** https://pypi.org/project/cronometer-api-mcp/\n- **Factibilidad:** **3/5** para uso personal; **1.5/5** como integración robusta oficial.\n- **Costo:** Cronometer app/subscription si aplica; API oficial caso por caso; reverse-engineered sin costo pero frágil.\n\n## Datos accesibles vía reverse-engineered MCP\n\nSegún `cronometer-mcp`:\n\n- food logs,\n- daily macro/micro summaries,\n- diary entries,\n- fasting,\n- biometrics,\n- recurring foods,\n- macro targets.\n\nMecanismo web:\n\n- GWT-RPC interno,\n- login page + CSRF,\n- cookies,\n- export tokens,\n- CSV exports,\n- llamadas directas para editar diary/biometrics/etc.\n\nMecanismo mobile MCP:\n\n- `mobile.cronometer.com`,\n- endpoints `/api/v2/*`,\n- JSON-body auth,\n- `/api/v3/user/{id}/*` para algunas operaciones,\n- reverse-engineered vía APK/traffic.\n\n## Riesgos / validaciones\n\n- No API oficial individual.\n- Cronometer tiene rate limiting agresivo en login según MCP.\n- Puede romperse con cambios internos.\n- Posible conflicto con ToS.\n- Requiere validación de endpoints y credenciales reales.\n- Para uso personal puede servir, especialmente por micronutrientes.\n\n## Python skeleton usando MCP/package\n\n```python\nfrom datetime import date, timedelta\nfrom cronometer_mcp import CronometerClient\n\ndef main():\n # Según docs, lee credenciales de env vars.\n # Requiere validar nombres exactos de env vars del paquete.\n client = CronometerClient()\n\n today = date.today()\n start = today - timedelta(days=7)\n\n foods = client.get_food_log()\n print(\"foods\", foods)\n\n # Los métodos exactos requieren validar versión del paquete.\n # Ejemplo conceptual:\n # summary = client.get_daily_summary(today)\n # biometrics = client.get_biometrics(start, today)\n\nif __name__ == \"__main__\":\n main()\n```\n\n## Python skeleton export genérico con requests\n\n```python\nimport os\nimport requests\n\nEMAIL = os.environ[\"CRONOMETER_EMAIL\"]\nPASSWORD = os.environ[\"CRONOMETER_PASSWORD\"]\n\nsession = requests.Session()\n\ndef login():\n # Placeholder: Cronometer web login/GWT-RPC requiere CSRF y payload exacto.\n # Recomiendo usar cronometer-mcp en vez de reimplementar.\n raise NotImplementedError(\"Use cronometer-mcp or validate GWT-RPC flow\")\n\ndef export_daily_nutrition(start_date: str, end_date: str):\n # Placeholder: requiere generateAuthorizationToken y CSV export URL.\n raise NotImplementedError(\"Requires reverse-engineered export token flow\")\n```\n\n## Uso para Pipo\n\nMuy bueno para micronutrientes y calidad nutricional si Ignacio usa Cronometer:\n\n- detectar falta de fibra,\n- sodio/potasio/magnesio,\n- proteína,\n- calorías,\n- adherence.\n\nPero para producto estable, preferir MacroFactor/Fitbit/Health Connect.\n\n---\n\n# 7. Hevy\n\n## Estado\n\n- **Tipo de API:** pública oficial REST.\n- **Docs:** https://api.hevyapp.com/docs/\n- **Base URL:** `https://api.hevyapp.com`\n- **Auth:** API key header.\n- **API key:** Hevy Pro, desde https://hevy.com/settings?developer\n- **Factibilidad:** **5/5**\n- **Costo:** requiere Hevy Pro para API.\n- **Situación:** ya conectado según contexto.\n\n## Datos accesibles\n\nEndpoints documentados:\n\n### Workouts\n\n```text\nGET /v1/workouts\nPOST /v1/workouts\nGET /v1/workouts/count\nGET /v1/workouts/events\nGET /v1/workouts/{workoutId}\nPUT /v1/workouts/{workoutId}\n```\n\n### Users\n\n```text\nGET /v1/user/info\n```\n\n### Routines\n\n```text\nGET /v1/routines\nPOST /v1/routines\nGET /v1/routines/{routineId}\nPUT /v1/routines/{routineId}\n```\n\n### Exercise templates\n\n```text\nGET /v1/exercise_templates\nPOST /v1/exercise_templates\nGET /v1/exercise_templates/{exerciseTemplateId}\n```\n\n### Routine folders\n\n```text\nGET /v1/routine_folders\nPOST /v1/routine_folders\nGET /v1/routine_folders/{folderId}\n```\n\n### Exercise history\n\n```text\nGET /v1/exercise_history/{exerciseTemplateId}\n```\n\n### Body measurements\n\n```text\nGET /v1/body_measurements\nPOST /v1/body_measurements\nGET /v1/body_measurements/{date}\nPUT /v1/body_measurements/{date}\n```\n\n## Auth\n\nHeader según docs/clientes:\n\n```text\napi-key: \n```\n\n## Python skeleton\n\n```python\nimport os\nimport httpx\n\nHEVY_API_KEY = os.environ[\"HEVY_API_KEY\"]\nBASE_URL = \"https://api.hevyapp.com\"\n\nclient = httpx.Client(\n base_url=BASE_URL,\n headers={\"api-key\": HEVY_API_KEY},\n timeout=30,\n)\n\n\ndef get_user_info():\n r = client.get(\"/v1/user/info\")\n r.raise_for_status()\n return r.json()\n\n\ndef list_workouts(page: int = 1, page_size: int = 10):\n r = client.get(\n \"/v1/workouts\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef get_workout(workout_id: str):\n r = client.get(f\"/v1/workouts/{workout_id}\")\n r.raise_for_status()\n return r.json()\n\n\ndef get_workout_events(since: str, page: int = 1, page_size: int = 100):\n \"\"\"\n since: ISO timestamp/date, validar formato exacto requerido por Swagger.\n \"\"\"\n r = client.get(\n \"/v1/workouts/events\",\n params={\"since\": since, \"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef list_routines(page: int = 1, page_size: int = 10):\n r = client.get(\n \"/v1/routines\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef get_exercise_history(exercise_template_id: str):\n r = client.get(f\"/v1/exercise_history/{exercise_template_id}\")\n r.raise_for_status()\n return r.json()\n\n\ndef list_body_measurements(page: int = 1, page_size: int = 100):\n r = client.get(\n \"/v1/body_measurements\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\nif __name__ == \"__main__\":\n print(get_user_info())\n print(list_workouts(page_size=5))\n```\n\n## Uso para Pipo\n\nFuente principal de entrenamiento:\n\n- detectar cumplimiento del programa Jeff Nippard Min-Max 4-day,\n- analizar progresión por ejercicio,\n- detectar estancamiento,\n- estimar volumen semanal por músculo,\n- ajustar cargas/reps objetivo,\n- recomendar deload,\n- cruzar con sueño/nutrición/peso.\n\nEjemplos de lógica:\n\n```text\nSi press banca no progresa 3 sesiones y sueño < 6h promedio:\n mantener carga, bajar 1 set accesorio, subir carbs pre-workout.\n\nSi peso baja >0.8%/semana y e1RM cae:\n subir 150-250 kcal/día, especialmente carbs días de pierna.\n\nSi pasos >12k y pierna pesada:\n sugerir RPE cap 8 en sentadilla/peso muerto.\n\nSi sueño >7.5h y última sesión completada con RIR alto:\n subir 2.5 kg o +1 rep objetivo.\n```\n\n---\n\n# Comparativa rápida\n\n| App | API type | Auth | Datos clave | Factibilidad | Costo |\n|---|---|---:|---|---:|---|\n| MacroFactor | Firestore reverse-engineered | Firebase email/pass o refresh token | nutrición, peso, food logs, summaries, workouts | 3.5/5 | suscripción MacroFactor |\n| MyFitnessPal | REST oficial partner | OAuth2 | diary, measurements, exercises | 2.5/5 | acceso partner, requiere validación |\n| Fitbit | REST oficial | OAuth2 PKCE | sueño, pasos, HR, peso, nutrición, actividad | 4.5/5 | gratis/dev, dispositivo/app |\n| Health Connect | Android on-device | permisos Android | hub salud Android: pasos, sueño, peso, nutrición, HR | 4/5 | gratis, requiere app bridge |\n| Google Fit | REST legacy | OAuth2 | actividad/peso/sueño legacy | 1.5/5 | gratis pero deprecado |\n| Cronometer | sin API pública; MCP/reverse | cookies/GWT/mobile auth | macros, micros, biometrics, fasting | 3/5 personal | app/sub, API oficial caso por caso |\n| Hevy | REST oficial | API key | workouts, routines, sets, exercise history, measurements | 5/5 | Hevy Pro |\n\n---\n\n# Prioridad de implementación\n\n## Fase 1 — inmediata\n\n1. Consolidar **Hevy**:\n - sync incremental con `/v1/workouts/events`,\n - workouts,\n - routines,\n - exercise history,\n - body measurements.\n\n2. Agregar **Fitbit Web API** si Ignacio tiene Fitbit/Pixel Watch/Fitbit app:\n - sleep,\n - activity,\n - resting HR,\n - weight.\n\n3. Crear modelo normalizado:\n - `workouts`,\n - `workout_sets`,\n - `sleep_daily`,\n - `activity_daily`,\n - `body_weight`,\n - `nutrition_daily`.\n\n## Fase 2 — nutrición\n\nElegir una fuente:\n\n- Si Ignacio usa o acepta usar MacroFactor: **MacroFactor**.\n- Si prioriza micronutrientes: **Cronometer**.\n- Si ya usa MyFitnessPal y se consigue API partner: **MFP**.\n- Si quiere Android hub: **Health Connect bridge**.\n\n## Fase 3 — Very Personal Trainer\n\nImplementar motor de decisiones:\n\n```python\ndef recommend_adjustments(context):\n \"\"\"\n context:\n - last_14d_weight_trend\n - last_7d_calories/protein\n - sleep_7d_avg\n - steps_7d_avg\n - hevy_progression\n - next_session\n \"\"\"\n\n recommendations = []\n\n if context[\"sleep_7d_avg_hours\"] < 6.5:\n recommendations.append({\n \"type\": \"training\",\n \"action\": \"cap_intensity\",\n \"details\": \"Mantener RPE <= 8 y evitar PRs hoy.\"\n })\n\n if context[\"weight_loss_pct_week\"] > 0.8 and context[\"performance_down\"]:\n recommendations.append({\n \"type\": \"nutrition\",\n \"action\": \"increase_calories\",\n \"details\": \"Subir 150-250 kcal, preferentemente carbs alrededor del entrenamiento.\"\n })\n\n if context[\"protein_g_per_kg\"] < 1.6:\n recommendations.append({\n \"type\": \"nutrition\",\n \"action\": \"increase_protein\",\n \"details\": \"Agregar una porción de proteína magra o whey.\"\n })\n\n return recommendations\n```\n\n---\n\n# Issues encontrados / puntos a validar\n\n1. **MacroFactor**\n - Reverse-engineered, no oficial.\n - Requiere validar paths Firestore exactos y credenciales.\n - Requiere revisar ToS.\n\n2. **MyFitnessPal**\n - API existe, pero parece de partners.\n - Requiere obtener client id/client secret.\n\n3. **Fitbit**\n - Muy viable.\n - Requiere app registrada y OAuth consent.\n - Fitbit Web API está en transición hacia Google Health API según docs comparativas, pero sigue siendo una opción práctica.\n\n4. **Health Connect**\n - Excelente para Android.\n - No sirve directamente desde Hermes cloud/local sin companion app Android.\n - Hay restricciones de permisos/foreground que requieren diseño cuidadoso.\n\n5. **Google Fit**\n - Deprecado; no iniciar salvo migración/histórico.\n\n6. **Cronometer**\n - Sin API pública individual.\n - MCP reverse-engineered usable, pero frágil.\n\n7. **Hevy**\n - Mejor integración para entrenamiento.\n - Requiere Hevy Pro API key.\n - API pública joven; docs advierten que puede cambiar.\n\n---\n\n# Archivos creados/modificados\n\nNo creé ni modifiqué archivos locales. Investigación realizada vía web y reporte consolidado en esta respuesta.", "reasoning": "**Considering report options**\n\nI need to write a report to a file, but it appears I can’t use the write_file tool. I'm wondering if I can use something like tee, but the developer indicated that's not possible. It looks like echo or cat with heredoc isn't an option either, which is limiting. So, I may need to accept that I can’t create a file in this case. I'll try to create a concise report without file generation.", "finish_reason": "stop", "reasoning_content": "**Considering report options**\n\nI need to write a report to a file, but it appears I can’t use the write_file tool. I'm wondering if I can use something like tee, but the developer indicated that's not possible. It looks like echo or cat with heredoc isn't an option either, which is limiting. So, I may need to accept that I can’t create a file in this case. I'll try to create a concise report without file generation.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBv82fn8t3r2wlErtOoFYdBEcdtOvhgrnCGH_iROh444dG6XYhCBLF6Z-ZtYuMXB-5gfIezULarR7gXB_ScWbv4hJ1lVL8TUyyMOFuGQCE6Ts3yRpL4toRRvGZzc2mqx_AJRtceCaENr5xoXYupbO-Idc5u7yuDCApiHiWAnxA6-7772IOQ76gWVDXxXZzLcfjcOISFXw0VNc--sL6zrLCX2aPF1vdizxn3vwjkOfK6GixCJnPzlFFseLOKnMoI_eiDC8aCRzP8L-L89enooOenWwslU1rTArTuPofebSC59p0_oUgtFvMaDFTg-WiCGV9JJn5qk5xdFC8CIV5sAeXPQIdb4L-qiZf2tZYM2QteSEl9eN04TA7ZqmTE11taxamxuOHv_g4mRIsdb9RaMgLJKp031zV_BYeSe7dAJ4GRSIqCx_TgqjAraKd-MKggPvQxnhHr9MMgNB1zvDy8aPuTOIKkXmLbBMW9vCEa-9_DSDeeYRAKbs5XGO0C6CBg80dv7fAY8_4yj3lvIlD_BYvtJkJRn_LdUsgpabTyVLSa4LK_X8vsZbvodgcAEofi-HAu9yFV-4Ae9ZbDaAdSTha7z8q0l6PbYFcJ9UZcb9agzSAjgVlo0rqyt9HsUla0ozlyfLbSVZZsCr6fKeSCnfB_IF0aAIZY6FtvyrJG3kioZhUguA2yYs0wmuavmfU_edAL8M4lKcyY1aG-_NWBk19ofch-pQqo-TCmSI7PQ0-0AShgCE-MjT3CVQtsTbi88NwTbCLR5Tghgikdoab6rZLDbAFw4M8_Kd04kroo9BmURhz_2zvnFq3QnEuFbVdO-WoLA_kmqC3IqD7J3ILXoOl5wfXexEhC54HmXz56e51BpKpVAinyWmApfxGoJfQj8VZu_9NH9h9Xg_NjArkWTAcnc7fQrniN9o4ADcVZIARY_ERXxKOXjQ--PArUzUnsSwZgNCnv_3RSYddaMiQ8GZsdOOqzs28kKtnVTPmN6-qG0KlRW4NTNR6Kj6M6aUX7ziFww24GsHOYszkQNSoGZbYqEoxrpuvSFqo9J3MKz0QD5KZvBeDbA3vmawmoqLNO1HnwYo-Cl1G0kyhCFrv8RcvdXy2qC0NZD-d15T8b7kGoX_5HjwrUUfwl-PNlLOfB6rgKKVWIiuh-ohxVlqHGOwPPxr_ThUYGb3lEc4qJdDSVcq5INN755bSugb3zvYcFWMS3x0uEAli5ReYgO5xiPTOYY80A==", "id": "rs_06d181d56572b9c7016a06ff33ad4881998895ad768853a046", "summary": [ { "type": "summary_text", "text": "**Considering report options**\n\nI need to write a report to a file, but it appears I can’t use the write_file tool. I'm wondering if I can use something like tee, but the developer indicated that's not possible. It looks like echo or cat with heredoc isn't an option either, which is limiting. So, I may need to accept that I can’t create a file in this case. I'll try to create a concise report without file generation." } ] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "## Informe técnico: conectar Hermes Agent/Pipo con apps salud/nutrición/actividad\n\nObjetivo: que Pipo lea nutrición, peso, actividad, sueño y entrenamiento de Ignacio/Chicho — Android/Pixel, Buenos Aires, Hevy ya conectado, programa Jeff Nippard Min-Max 4-day — para ajustar entrenamiento y porciones automáticamente.\n\n---\n\n# Recomendación ejecutiva\n\n## Mejor stack para Pipo\n\n1. **Hevy** como fuente principal de entrenamiento.\n - Ya conectado.\n - API pública, estable aunque joven.\n - Permite leer workouts/routines/exercise history y escribir/actualizar workouts/routines.\n\n2. **Fitbit Web API** como fuente cloud principal de:\n - sueño,\n - pasos,\n - actividad,\n - frecuencia cardíaca,\n - peso,\n - nutrición si se usa Fitbit food logging.\n - Es la opción más limpia si Ignacio usa dispositivo Fitbit/Pixel Watch con Fitbit.\n\n3. **Health Connect** como hub local Android.\n - Ideal para Android/Pixel.\n - Pero necesita **Android bridge/app local**, porque no hay API cloud directa.\n - Útil para leer datos agregados de Google Fit, Fitbit, báscula, sueño, etc. desde el teléfono.\n\n4. **MacroFactor** como fuente nutricional premium si Ignacio lo usa o quiere usar.\n - No tiene API oficial pública.\n - Hay repo reverse-engineered vía Firebase/Firestore: `github.com/sjawhar/macrofactor`.\n - Muy útil para gasto energético dinámico, peso y logging nutricional, pero requiere validación y cuidado.\n\n5. **MyFitnessPal** si se consigue acceso partner.\n - Tiene API OAuth2 oficial en `myfitnesspalapi.com`.\n - Pero el acceso parece orientado a partners; requiere validar alta de app/API.\n\n6. **Cronometer** si se priorizan micronutrientes.\n - Sin API pública individual oficial.\n - Hay MCP/reverse-engineered.\n - Factible para uso personal, menos recomendable como integración robusta.\n\n7. **Google Fit**\n - No conviene iniciar integración nueva.\n - REST API deprecándose / end-of-service late 2026.\n - Migrar a Health Connect o Google Health API.\n\n---\n\n# Arquitectura propuesta para Hermes/Pipo\n\n## Componentes\n\n```text\nHermes Agent / Pipo\n |\n v\nIntegration Service Python\n |\n +-- hevy_connector.py\n +-- fitbit_connector.py\n +-- macrofactor_connector.py\n +-- mfp_connector.py\n +-- cronometer_connector.py\n +-- healthconnect_android_bridge.py\n |\n v\nNormalized Health DB\nPostgres/SQLite\n |\n +-- nutrition_daily\n +-- body_weight\n +-- activity_daily\n +-- sleep_daily\n +-- workouts\n +-- workout_sets\n +-- readiness_daily\n +-- recommendations\n```\n\n## Jobs recomendados\n\n```text\nCada 15-30 min:\n- sync Hevy workout events\n- sync Fitbit activity/sleep/weight\n- sync Health Connect bridge if available\n\nCada noche:\n- recomputar readiness\n- revisar sueño, pasos, HR/resting HR si está disponible\n- ajustar intensidad sugerida del próximo entrenamiento\n\nCada mañana:\n- generar check-in: peso, sueño, fatiga, entrenamiento próximo\n\nCada semana:\n- evaluar tendencia de peso 7/14 días\n- ajustar porciones/macros\n- detectar estancamiento de cargas en Hevy\n```\n\n## Token storage\n\nUsar almacenamiento cifrado:\n\n```text\n~/.hermes/secrets/\n fitbit_token.json.enc\n hevy_api_key.enc\n macrofactor_refresh_token.enc\n mfp_token.json.enc\n```\n\nIdeal:\n- `keyring` en local.\n- O `age`/`sops`.\n- Nunca guardar passwords planos.\n- Preferir refresh tokens cuando existan.\n- Para reverse-engineered APIs, guardar cookies/tokens y documentar riesgo.\n\n## Schema mínimo normalizado\n\n```sql\nCREATE TABLE nutrition_daily (\n source TEXT,\n date DATE,\n calories REAL,\n protein_g REAL,\n carbs_g REAL,\n fat_g REAL,\n fiber_g REAL,\n sodium_mg REAL,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE body_weight (\n source TEXT,\n timestamp TIMESTAMP,\n weight_kg REAL,\n body_fat_pct REAL,\n raw_json JSON,\n PRIMARY KEY (source, timestamp)\n);\n\nCREATE TABLE activity_daily (\n source TEXT,\n date DATE,\n steps INTEGER,\n active_minutes INTEGER,\n calories_out REAL,\n distance_km REAL,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE sleep_daily (\n source TEXT,\n date DATE,\n duration_min INTEGER,\n efficiency REAL,\n deep_min INTEGER,\n rem_min INTEGER,\n light_min INTEGER,\n awake_min INTEGER,\n raw_json JSON,\n PRIMARY KEY (source, date)\n);\n\nCREATE TABLE workouts (\n source TEXT,\n workout_id TEXT,\n started_at TIMESTAMP,\n ended_at TIMESTAMP,\n title TEXT,\n raw_json JSON,\n PRIMARY KEY (source, workout_id)\n);\n\nCREATE TABLE workout_sets (\n source TEXT,\n workout_id TEXT,\n exercise_id TEXT,\n exercise_name TEXT,\n set_index INTEGER,\n reps REAL,\n weight_kg REAL,\n rpe REAL,\n rir REAL,\n raw_json JSON\n);\n```\n\n---\n\n# 1. MacroFactor\n\n## Estado\n\n- **Tipo de API:** no oficial, reverse-engineered.\n- **Backend:** Firebase/Firestore.\n- **Repo:** https://github.com/sjawhar/macrofactor\n- **Docs API:** https://github.com/sjawhar/macrofactor/blob/main/docs/api-reference.md\n- **Base Firestore:** \n `https://firestore.googleapis.com/v1/projects/sbs-diet-app/databases/(default)/documents`\n- **Auth:** Firebase Identity Toolkit.\n- **Factibilidad:** **3.5/5**\n- **Costo:** requiere suscripción activa de MacroFactor. Integración en sí sin costo, pero no oficial.\n\n## Datos accesibles según repo\n\nEl repo declara lectura/escritura de:\n\n- food logs,\n- weight entries,\n- nutrition summaries,\n- workouts,\n- custom exercises,\n- gym profiles,\n- food search vía Typesense,\n- creación/actualización de food log entries,\n- creación/actualización de workouts/sets,\n- logging de peso.\n\n## Auth\n\nFlujo documentado por el repo:\n\n```text\nPOST https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={API_KEY}\n\nDevuelve:\n- idToken\n- refreshToken\n\nUsar:\nAuthorization: Bearer \ncontra Firestore REST.\n```\n\nToken refresh:\n\n```text\nPOST https://securetoken.googleapis.com/v1/token?key={API_KEY}\n```\n\n## Riesgos / validaciones\n\n- No es API oficial.\n- Requiere extraer/usar API key Firebase del cliente; requiere validación legal/ToS.\n- App Check bloquea algunas colecciones de referencia.\n- El repo resuelve referencia local usando JSON extraído del APK.\n- Requiere validación con una cuenta real.\n- No guardar password plano: preferir refresh token.\n\n## Python skeleton\n\n```python\nimport os\nimport httpx\nfrom datetime import date\n\nFIREBASE_API_KEY = os.environ[\"MACROFACTOR_FIREBASE_API_KEY\"]\nEMAIL = os.environ[\"MACROFACTOR_EMAIL\"]\nPASSWORD = os.environ[\"MACROFACTOR_PASSWORD\"]\n\nIDENTITY_URL = (\n \"https://identitytoolkit.googleapis.com/v1/\"\n f\"accounts:signInWithPassword?key={FIREBASE_API_KEY}\"\n)\nREFRESH_URL = (\n \"https://securetoken.googleapis.com/v1/\"\n f\"token?key={FIREBASE_API_KEY}\"\n)\nFIRESTORE_BASE = (\n \"https://firestore.googleapis.com/v1/projects/\"\n \"sbs-diet-app/databases/(default)/documents\"\n)\n\n\ndef login():\n payload = {\n \"email\": EMAIL,\n \"password\": PASSWORD,\n \"returnSecureToken\": True,\n }\n r = httpx.post(IDENTITY_URL, json=payload, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef refresh_id_token(refresh_token: str):\n payload = {\n \"grant_type\": \"refresh_token\",\n \"refresh_token\": refresh_token,\n }\n r = httpx.post(REFRESH_URL, data=payload, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef firestore_get(path: str, id_token: str):\n url = f\"{FIRESTORE_BASE}/{path.lstrip('/')}\"\n headers = {\"Authorization\": f\"Bearer {id_token}\"}\n r = httpx.get(url, headers=headers, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef main():\n tokens = login()\n id_token = tokens[\"idToken\"]\n user_id = tokens[\"localId\"]\n\n # Requiere validar paths exactos contra docs/repo.\n # Ejemplos conceptuales:\n # food_logs = firestore_get(f\"users/{user_id}/foodLogs\", id_token)\n # weights = firestore_get(f\"users/{user_id}/weights\", id_token)\n\n print(\"Logged in:\", user_id)\n\n\nif __name__ == \"__main__\":\n main()\n```\n\n## Uso para Pipo\n\nMuy valioso si Ignacio usa MacroFactor:\n\n- leer promedio calórico real,\n- leer peso/tendencia,\n- cruzar con progreso Hevy,\n- ajustar porciones:\n - si peso baja más rápido de lo deseado y rendimiento cae: subir carbs/calorías,\n - si peso no baja y adherencia alta: bajar 100-150 kcal,\n - si proteína baja: recomendar porciones concretas.\n\n---\n\n# 2. MyFitnessPal\n\n## Estado\n\n- **Tipo de API:** REST oficial con OAuth2 Authorization Code.\n- **Docs:** https://myfitnesspalapi.com/docs/\n- **Auth docs:** https://myfitnesspalapi.com/docs/user-authentication/\n- **OAuth params:** https://myfitnesspalapi.com/docs/request-query-parameters/\n- **Factibilidad:** **2.5/5**\n- **Costo:** requiere acceso partner / client id y client secret. Costo no público; requiere validación.\n\n## Datos accesibles\n\nScopes documentados:\n\n```text\nmeasurements\ndiary\nprivate-exercises\nsubscriptions\n```\n\nPotencial:\n\n- diario nutricional,\n- mediciones/peso,\n- ejercicios privados,\n- suscripciones.\n\n## Auth\n\nOAuth2 Authorization Code:\n\n```text\nGET /oauth2/auth\n response_type=code\n client_id=...\n redirect_uri=...\n scope=diary measurements private-exercises subscriptions\n state=...\n\nPOST token endpoint\n code\n client_id\n client_secret\n redirect_uri\n```\n\nLa documentación indica access token + refresh token.\n\n## Riesgos / validaciones\n\n- Requiere acceso oficial de partner.\n- Hay que validar disponibilidad para desarrollador individual.\n- No asumir acceso hasta tener client id/secret.\n- Si no se consigue acceso, no conviene invertir.\n\n## Python skeleton con Authlib\n\n```python\nimport os\nfrom authlib.integrations.requests_client import OAuth2Session\n\nCLIENT_ID = os.environ[\"MFP_CLIENT_ID\"]\nCLIENT_SECRET = os.environ[\"MFP_CLIENT_SECRET\"]\nREDIRECT_URI = os.environ[\"MFP_REDIRECT_URI\"]\n\nAUTHORIZE_URL = \"https://api.myfitnesspal.com/v2/oauth2/auth\"\nTOKEN_URL = \"https://api.myfitnesspal.com/v2/oauth2/token\"\nAPI_BASE = \"https://api.myfitnesspal.com/v2\"\n\nSCOPES = [\"diary\", \"measurements\", \"private-exercises\", \"subscriptions\"]\n\n\ndef build_auth_url():\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n scope=\" \".join(SCOPES),\n redirect_uri=REDIRECT_URI,\n )\n uri, state = client.create_authorization_url(AUTHORIZE_URL)\n return uri, state\n\n\ndef exchange_code(code: str):\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n redirect_uri=REDIRECT_URI,\n )\n token = client.fetch_token(TOKEN_URL, code=code)\n return token\n\n\ndef get_diary(token: dict, date: str):\n client = OAuth2Session(CLIENT_ID, CLIENT_SECRET, token=token)\n # Endpoint exacto requiere validar contra docs de recursos MFP.\n r = client.get(f\"{API_BASE}/diary\", params={\"date\": date})\n r.raise_for_status()\n return r.json()\n\n\nif __name__ == \"__main__\":\n url, state = build_auth_url()\n print(\"Open:\", url)\n```\n\n## Uso para Pipo\n\nSi se consigue acceso:\n\n- leer calories/protein/carbs/fat por día,\n- detectar adherencia,\n- cruzar entrenamiento/peso,\n- generar recomendaciones de porciones.\n\nPero como integración práctica inmediata, queda debajo de Fitbit/MacroFactor/Health Connect.\n\n---\n\n# 3. Fitbit\n\n## Estado\n\n- **Tipo de API:** Web API oficial REST.\n- **Docs base:** https://dev.fitbit.com/build/reference/web-api/\n- **OAuth2:** https://dev.fitbit.com/build/reference/web-api/oauth2\n- **Nutrition:** https://dev.fitbit.com/build/reference/web-api/nutrition\n- **Activity:** https://dev.fitbit.com/build/reference/web-api/activity\n- **Factibilidad:** **4.5/5**\n- **Costo:** gratis para uso developer normal; sujeto a políticas y cuotas. Requiere registrar app.\n\n## Datos accesibles\n\nScopes relevantes:\n\n```text\nactivity\nheartrate\nnutrition\nprofile\nsettings\nsleep\nweight\nrespiratory_rate\noxygen_saturation\ntemperature\nlocation\n```\n\nDatos útiles para Pipo:\n\n- pasos diarios,\n- calorías quemadas,\n- active minutes,\n- distancia,\n- workouts/cardio,\n- sueño y etapas,\n- resting HR,\n- HRV si disponible según endpoint/producto,\n- peso,\n- grasa corporal,\n- food/water logs si se usan.\n\n## Auth\n\nFitbit recomienda OAuth2 Authorization Code con PKCE.\n\nAuthorize:\n\n```text\nhttps://www.fitbit.com/oauth2/authorize\n client_id=...\n response_type=code\n code_challenge=...\n code_challenge_method=S256\n scope=activity heartrate nutrition sleep weight profile\n```\n\nToken:\n\n```text\nPOST https://api.fitbit.com/oauth2/token\n```\n\nDevuelve:\n\n```json\n{\n \"access_token\": \"...\",\n \"expires_in\": 28800,\n \"refresh_token\": \"...\",\n \"scope\": \"...\",\n \"token_type\": \"Bearer\",\n \"user_id\": \"...\"\n}\n```\n\n## Python skeleton\n\n```python\nimport os\nimport base64\nimport hashlib\nimport secrets\nimport httpx\nfrom urllib.parse import urlencode\n\nCLIENT_ID = os.environ[\"FITBIT_CLIENT_ID\"]\nCLIENT_SECRET = os.getenv(\"FITBIT_CLIENT_SECRET\") # server apps\nREDIRECT_URI = os.environ[\"FITBIT_REDIRECT_URI\"]\n\nAUTH_URL = \"https://www.fitbit.com/oauth2/authorize\"\nTOKEN_URL = \"https://api.fitbit.com/oauth2/token\"\nAPI_BASE = \"https://api.fitbit.com/1/user/-\"\n\nSCOPES = [\n \"activity\",\n \"heartrate\",\n \"nutrition\",\n \"profile\",\n \"settings\",\n \"sleep\",\n \"weight\",\n]\n\n\ndef make_pkce():\n verifier = base64.urlsafe_b64encode(secrets.token_bytes(32)).rstrip(b\"=\").decode()\n challenge = base64.urlsafe_b64encode(\n hashlib.sha256(verifier.encode()).digest()\n ).rstrip(b\"=\").decode()\n return verifier, challenge\n\n\ndef build_auth_url():\n verifier, challenge = make_pkce()\n params = {\n \"client_id\": CLIENT_ID,\n \"response_type\": \"code\",\n \"code_challenge\": challenge,\n \"code_challenge_method\": \"S256\",\n \"scope\": \" \".join(SCOPES),\n \"redirect_uri\": REDIRECT_URI,\n }\n return f\"{AUTH_URL}?{urlencode(params)}\", verifier\n\n\ndef exchange_code(code: str, code_verifier: str):\n data = {\n \"client_id\": CLIENT_ID,\n \"grant_type\": \"authorization_code\",\n \"code\": code,\n \"code_verifier\": code_verifier,\n \"redirect_uri\": REDIRECT_URI,\n }\n auth = (CLIENT_ID, CLIENT_SECRET) if CLIENT_SECRET else None\n r = httpx.post(TOKEN_URL, data=data, auth=auth, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef refresh_token(refresh_token_value: str):\n data = {\n \"grant_type\": \"refresh_token\",\n \"refresh_token\": refresh_token_value,\n \"client_id\": CLIENT_ID,\n }\n auth = (CLIENT_ID, CLIENT_SECRET) if CLIENT_SECRET else None\n r = httpx.post(TOKEN_URL, data=data, auth=auth, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef fitbit_get(access_token: str, path: str):\n headers = {\"Authorization\": f\"Bearer {access_token}\"}\n r = httpx.get(f\"{API_BASE}/{path.lstrip('/')}\", headers=headers, timeout=30)\n r.raise_for_status()\n return r.json()\n\n\ndef get_daily_summary(access_token: str, date: str):\n return fitbit_get(access_token, f\"activities/date/{date}.json\")\n\n\ndef get_sleep(access_token: str, date: str):\n return fitbit_get(access_token, f\"sleep/date/{date}.json\")\n\n\ndef get_weight(access_token: str, date: str):\n return fitbit_get(access_token, f\"body/log/weight/date/{date}.json\")\n\n\ndef get_food(access_token: str, date: str):\n return fitbit_get(access_token, f\"foods/log/date/{date}.json\")\n```\n\n## Uso para Pipo\n\nMuy recomendable:\n\n- readiness basado en sueño + HR/resting HR + pasos,\n- ajuste de volumen/intensidad:\n - mal sueño + HR alta + DOMS: bajar RPE objetivo,\n - pasos muy altos: subir carbs o reducir cardio,\n - sueño sólido + buena tendencia: progresión normal.\n- peso/tendencia si Fitbit recibe báscula.\n\n---\n\n# 4. Google Health Connect\n\n## Estado\n\n- **Tipo de API:** Android on-device API.\n- **Docs:** https://developer.android.com/health-and-fitness/guides/health-connect/develop/get-started\n- **Codelab:** https://developer.android.com/codelabs/health-connect\n- **Factibilidad:** **4/5**, pero requiere app/bridge Android.\n- **Costo:** gratis.\n- **Cloud API directa:** no. Es device-centric.\n\n## Datos accesibles\n\nHealth Connect puede leer/escribir tipos como:\n\n- StepsRecord,\n- DistanceRecord,\n- TotalCaloriesBurnedRecord,\n- ActiveCaloriesBurnedRecord,\n- ExerciseSessionRecord,\n- SleepSessionRecord,\n- WeightRecord,\n- BodyFatRecord,\n- HeartRateRecord,\n- RestingHeartRateRecord,\n- NutritionRecord,\n- HydrationRecord,\n- etc.\n\nDepende de:\n- permisos concedidos,\n- apps fuente instaladas,\n- si esas apps escriben en Health Connect.\n\n## Auth/permisos\n\nNo usa OAuth.\n\nUsa:\n\n- permisos Android manifest,\n- pantalla de permisos Health Connect,\n- `HealthConnectClient`,\n- permisos por record type.\n\nImportante: documentación/codelab indica que la lectura tiene restricciones de privacidad y foreground. Para sync confiable hacia Hermes, hay que diseñar bridge local con consentimiento claro.\n\n## Arquitectura bridge recomendada\n\nComo Hermes corre fuera del teléfono, se necesita uno de estos:\n\n### Opción A: Android companion app\n\n```text\nPixel/Android\n Health Connect Bridge App\n lee Health Connect\n normaliza datos\n envía HTTPS a Hermes endpoint local/cloud\n```\n\n### Opción B: Termux/local bridge\n\nMenos recomendable porque Health Connect requiere app Android con SDK/permisos.\n\n### Opción C: Google Health API / Fitbit API\n\nPara cloud, mejor Fitbit/Google Health API cuando aplique.\n\n## Kotlin skeleton bridge\n\nNo es Python porque Health Connect es Android/Kotlin.\n\n```kotlin\nval permissions = setOf(\n HealthPermission.getReadPermission(StepsRecord::class),\n HealthPermission.getReadPermission(SleepSessionRecord::class),\n HealthPermission.getReadPermission(WeightRecord::class),\n HealthPermission.getReadPermission(HeartRateRecord::class),\n HealthPermission.getReadPermission(NutritionRecord::class),\n)\n\nval healthConnectClient = HealthConnectClient.getOrCreate(context)\n\nval granted = healthConnectClient.permissionController.getGrantedPermissions()\n\nif (!granted.containsAll(permissions)) {\n // Launch permission request contract from Activity\n}\n\nsuspend fun readSteps(start: Instant, end: Instant): Long {\n val response = healthConnectClient.aggregate(\n AggregateRequest(\n metrics = setOf(StepsRecord.COUNT_TOTAL),\n timeRangeFilter = TimeRangeFilter.between(start, end)\n )\n )\n return response[StepsRecord.COUNT_TOTAL] ?: 0L\n}\n```\n\n## Python receiving endpoint skeleton\n\n```python\nfrom fastapi import FastAPI, Header, HTTPException\nfrom pydantic import BaseModel\nfrom typing import Any\nimport os\n\napp = FastAPI()\n\nBRIDGE_TOKEN = os.environ[\"HEALTH_CONNECT_BRIDGE_TOKEN\"]\n\n\nclass HealthConnectPayload(BaseModel):\n source: str = \"health_connect\"\n device_id: str\n synced_at: str\n data_type: str\n records: list[dict[str, Any]]\n\n\n@app.post(\"/ingest/health-connect\")\ndef ingest_health_connect(\n payload: HealthConnectPayload,\n authorization: str | None = Header(default=None),\n):\n if authorization != f\"Bearer {BRIDGE_TOKEN}\":\n raise HTTPException(status_code=401, detail=\"unauthorized\")\n\n # TODO: validate schema per data_type and upsert normalized DB.\n return {\"ok\": True, \"received\": len(payload.records)}\n```\n\n## Uso para Pipo\n\nMuy bueno en Android/Pixel:\n\n- centraliza fuentes,\n- no depende de Apple,\n- puede leer datos de apps diversas,\n- evita integrar mil APIs.\n\nLimitación principal: necesita companion app.\n\n---\n\n# 5. Google Fit\n\n## Estado\n\n- **Tipo de API:** REST/Android legacy.\n- **Docs migración:** https://developer.android.com/health-and-fitness/health-connect/migration/fit\n- **FAQ:** https://developer.android.com/health-and-fitness/guides/health-connect/migrate/fit-apis-end-of-service\n- **Factibilidad:** **1.5/5** para integración nueva.\n- **Costo:** gratis, pero no recomendable.\n- **Estado:** deprecándose; soporte hasta late/end 2026 según docs.\n\n## Dato clave\n\nGoogle indica:\n\n- Google Fit APIs, incluyendo REST API, soportadas solo hasta fines de 2026.\n- Nuevas integraciones deberían usar:\n - **Health Connect** para mobile/on-device,\n - **Google Health API** para cloud/web-centric,\n - Fitbit Web API / Google Health API para datos de dispositivos Google/Fitbit.\n\n## Datos accesibles\n\nHistóricamente:\n\n- steps,\n- calories,\n- distance,\n- heart points,\n- weight,\n- activities/sessions,\n- sleep si estaba registrado,\n- datasets por data source.\n\nPero no conviene invertir en esto para Pipo.\n\n## Auth\n\nOAuth2 Google scopes. Requiere Google Cloud project.\n\n## Python skeleton legacy, solo si ya existe integración\n\n```python\nimport os\nimport httpx\nfrom authlib.integrations.requests_client import OAuth2Session\n\nCLIENT_ID = os.environ[\"GOOGLE_CLIENT_ID\"]\nCLIENT_SECRET = os.environ[\"GOOGLE_CLIENT_SECRET\"]\nREDIRECT_URI = os.environ[\"GOOGLE_REDIRECT_URI\"]\n\nAUTH_URL = \"https://accounts.google.com/o/oauth2/v2/auth\"\nTOKEN_URL = \"https://oauth2.googleapis.com/token\"\nFIT_BASE = \"https://www.googleapis.com/fitness/v1/users/me\"\n\nSCOPES = [\n \"https://www.googleapis.com/auth/fitness.activity.read\",\n \"https://www.googleapis.com/auth/fitness.body.read\",\n \"https://www.googleapis.com/auth/fitness.sleep.read\",\n]\n\n\ndef build_auth_url():\n client = OAuth2Session(\n CLIENT_ID,\n CLIENT_SECRET,\n scope=\" \".join(SCOPES),\n redirect_uri=REDIRECT_URI,\n )\n uri, state = client.create_authorization_url(\n AUTH_URL,\n access_type=\"offline\",\n prompt=\"consent\",\n )\n return uri, state\n\n\ndef aggregate_steps(token: dict, start_ms: int, end_ms: int):\n client = OAuth2Session(CLIENT_ID, CLIENT_SECRET, token=token)\n body = {\n \"aggregateBy\": [\n {\"dataTypeName\": \"com.google.step_count.delta\"}\n ],\n \"bucketByTime\": {\"durationMillis\": 86400000},\n \"startTimeMillis\": start_ms,\n \"endTimeMillis\": end_ms,\n }\n r = client.post(f\"{FIT_BASE}/dataset:aggregate\", json=body)\n r.raise_for_status()\n return r.json()\n```\n\n## Recomendación\n\nNo usar salvo que Ignacio ya tenga datos históricos en Google Fit y quiera migrarlos/exportarlos.\n\nPara Pipo: **Health Connect > Google Fit**.\n\n---\n\n# 6. Cronometer\n\n## Estado\n\n- **Tipo de API:** no pública para usuarios individuales.\n- **API oficial:** Cronometer Pro dice tener API caso por caso.\n- **Pro page:** http://www.cronometer.com/pro/\n- **MCP reverse-engineered:** https://github.com/cphoskins/cronometer-mcp\n- **PyPI MCP:** https://pypi.org/project/cronometer-mcp/\n- **Mobile reverse-engineered MCP:** https://pypi.org/project/cronometer-api-mcp/\n- **Factibilidad:** **3/5** para uso personal; **1.5/5** como integración robusta oficial.\n- **Costo:** Cronometer app/subscription si aplica; API oficial caso por caso; reverse-engineered sin costo pero frágil.\n\n## Datos accesibles vía reverse-engineered MCP\n\nSegún `cronometer-mcp`:\n\n- food logs,\n- daily macro/micro summaries,\n- diary entries,\n- fasting,\n- biometrics,\n- recurring foods,\n- macro targets.\n\nMecanismo web:\n\n- GWT-RPC interno,\n- login page + CSRF,\n- cookies,\n- export tokens,\n- CSV exports,\n- llamadas directas para editar diary/biometrics/etc.\n\nMecanismo mobile MCP:\n\n- `mobile.cronometer.com`,\n- endpoints `/api/v2/*`,\n- JSON-body auth,\n- `/api/v3/user/{id}/*` para algunas operaciones,\n- reverse-engineered vía APK/traffic.\n\n## Riesgos / validaciones\n\n- No API oficial individual.\n- Cronometer tiene rate limiting agresivo en login según MCP.\n- Puede romperse con cambios internos.\n- Posible conflicto con ToS.\n- Requiere validación de endpoints y credenciales reales.\n- Para uso personal puede servir, especialmente por micronutrientes.\n\n## Python skeleton usando MCP/package\n\n```python\nfrom datetime import date, timedelta\nfrom cronometer_mcp import CronometerClient\n\ndef main():\n # Según docs, lee credenciales de env vars.\n # Requiere validar nombres exactos de env vars del paquete.\n client = CronometerClient()\n\n today = date.today()\n start = today - timedelta(days=7)\n\n foods = client.get_food_log()\n print(\"foods\", foods)\n\n # Los métodos exactos requieren validar versión del paquete.\n # Ejemplo conceptual:\n # summary = client.get_daily_summary(today)\n # biometrics = client.get_biometrics(start, today)\n\nif __name__ == \"__main__\":\n main()\n```\n\n## Python skeleton export genérico con requests\n\n```python\nimport os\nimport requests\n\nEMAIL = os.environ[\"CRONOMETER_EMAIL\"]\nPASSWORD = os.environ[\"CRONOMETER_PASSWORD\"]\n\nsession = requests.Session()\n\ndef login():\n # Placeholder: Cronometer web login/GWT-RPC requiere CSRF y payload exacto.\n # Recomiendo usar cronometer-mcp en vez de reimplementar.\n raise NotImplementedError(\"Use cronometer-mcp or validate GWT-RPC flow\")\n\ndef export_daily_nutrition(start_date: str, end_date: str):\n # Placeholder: requiere generateAuthorizationToken y CSV export URL.\n raise NotImplementedError(\"Requires reverse-engineered export token flow\")\n```\n\n## Uso para Pipo\n\nMuy bueno para micronutrientes y calidad nutricional si Ignacio usa Cronometer:\n\n- detectar falta de fibra,\n- sodio/potasio/magnesio,\n- proteína,\n- calorías,\n- adherence.\n\nPero para producto estable, preferir MacroFactor/Fitbit/Health Connect.\n\n---\n\n# 7. Hevy\n\n## Estado\n\n- **Tipo de API:** pública oficial REST.\n- **Docs:** https://api.hevyapp.com/docs/\n- **Base URL:** `https://api.hevyapp.com`\n- **Auth:** API key header.\n- **API key:** Hevy Pro, desde https://hevy.com/settings?developer\n- **Factibilidad:** **5/5**\n- **Costo:** requiere Hevy Pro para API.\n- **Situación:** ya conectado según contexto.\n\n## Datos accesibles\n\nEndpoints documentados:\n\n### Workouts\n\n```text\nGET /v1/workouts\nPOST /v1/workouts\nGET /v1/workouts/count\nGET /v1/workouts/events\nGET /v1/workouts/{workoutId}\nPUT /v1/workouts/{workoutId}\n```\n\n### Users\n\n```text\nGET /v1/user/info\n```\n\n### Routines\n\n```text\nGET /v1/routines\nPOST /v1/routines\nGET /v1/routines/{routineId}\nPUT /v1/routines/{routineId}\n```\n\n### Exercise templates\n\n```text\nGET /v1/exercise_templates\nPOST /v1/exercise_templates\nGET /v1/exercise_templates/{exerciseTemplateId}\n```\n\n### Routine folders\n\n```text\nGET /v1/routine_folders\nPOST /v1/routine_folders\nGET /v1/routine_folders/{folderId}\n```\n\n### Exercise history\n\n```text\nGET /v1/exercise_history/{exerciseTemplateId}\n```\n\n### Body measurements\n\n```text\nGET /v1/body_measurements\nPOST /v1/body_measurements\nGET /v1/body_measurements/{date}\nPUT /v1/body_measurements/{date}\n```\n\n## Auth\n\nHeader según docs/clientes:\n\n```text\napi-key: \n```\n\n## Python skeleton\n\n```python\nimport os\nimport httpx\n\nHEVY_API_KEY = os.environ[\"HEVY_API_KEY\"]\nBASE_URL = \"https://api.hevyapp.com\"\n\nclient = httpx.Client(\n base_url=BASE_URL,\n headers={\"api-key\": HEVY_API_KEY},\n timeout=30,\n)\n\n\ndef get_user_info():\n r = client.get(\"/v1/user/info\")\n r.raise_for_status()\n return r.json()\n\n\ndef list_workouts(page: int = 1, page_size: int = 10):\n r = client.get(\n \"/v1/workouts\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef get_workout(workout_id: str):\n r = client.get(f\"/v1/workouts/{workout_id}\")\n r.raise_for_status()\n return r.json()\n\n\ndef get_workout_events(since: str, page: int = 1, page_size: int = 100):\n \"\"\"\n since: ISO timestamp/date, validar formato exacto requerido por Swagger.\n \"\"\"\n r = client.get(\n \"/v1/workouts/events\",\n params={\"since\": since, \"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef list_routines(page: int = 1, page_size: int = 10):\n r = client.get(\n \"/v1/routines\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\ndef get_exercise_history(exercise_template_id: str):\n r = client.get(f\"/v1/exercise_history/{exercise_template_id}\")\n r.raise_for_status()\n return r.json()\n\n\ndef list_body_measurements(page: int = 1, page_size: int = 100):\n r = client.get(\n \"/v1/body_measurements\",\n params={\"page\": page, \"pageSize\": page_size},\n )\n r.raise_for_status()\n return r.json()\n\n\nif __name__ == \"__main__\":\n print(get_user_info())\n print(list_workouts(page_size=5))\n```\n\n## Uso para Pipo\n\nFuente principal de entrenamiento:\n\n- detectar cumplimiento del programa Jeff Nippard Min-Max 4-day,\n- analizar progresión por ejercicio,\n- detectar estancamiento,\n- estimar volumen semanal por músculo,\n- ajustar cargas/reps objetivo,\n- recomendar deload,\n- cruzar con sueño/nutrición/peso.\n\nEjemplos de lógica:\n\n```text\nSi press banca no progresa 3 sesiones y sueño < 6h promedio:\n mantener carga, bajar 1 set accesorio, subir carbs pre-workout.\n\nSi peso baja >0.8%/semana y e1RM cae:\n subir 150-250 kcal/día, especialmente carbs días de pierna.\n\nSi pasos >12k y pierna pesada:\n sugerir RPE cap 8 en sentadilla/peso muerto.\n\nSi sueño >7.5h y última sesión completada con RIR alto:\n subir 2.5 kg o +1 rep objetivo.\n```\n\n---\n\n# Comparativa rápida\n\n| App | API type | Auth | Datos clave | Factibilidad | Costo |\n|---|---|---:|---|---:|---|\n| MacroFactor | Firestore reverse-engineered | Firebase email/pass o refresh token | nutrición, peso, food logs, summaries, workouts | 3.5/5 | suscripción MacroFactor |\n| MyFitnessPal | REST oficial partner | OAuth2 | diary, measurements, exercises | 2.5/5 | acceso partner, requiere validación |\n| Fitbit | REST oficial | OAuth2 PKCE | sueño, pasos, HR, peso, nutrición, actividad | 4.5/5 | gratis/dev, dispositivo/app |\n| Health Connect | Android on-device | permisos Android | hub salud Android: pasos, sueño, peso, nutrición, HR | 4/5 | gratis, requiere app bridge |\n| Google Fit | REST legacy | OAuth2 | actividad/peso/sueño legacy | 1.5/5 | gratis pero deprecado |\n| Cronometer | sin API pública; MCP/reverse | cookies/GWT/mobile auth | macros, micros, biometrics, fasting | 3/5 personal | app/sub, API oficial caso por caso |\n| Hevy | REST oficial | API key | workouts, routines, sets, exercise history, measurements | 5/5 | Hevy Pro |\n\n---\n\n# Prioridad de implementación\n\n## Fase 1 — inmediata\n\n1. Consolidar **Hevy**:\n - sync incremental con `/v1/workouts/events`,\n - workouts,\n - routines,\n - exercise history,\n - body measurements.\n\n2. Agregar **Fitbit Web API** si Ignacio tiene Fitbit/Pixel Watch/Fitbit app:\n - sleep,\n - activity,\n - resting HR,\n - weight.\n\n3. Crear modelo normalizado:\n - `workouts`,\n - `workout_sets`,\n - `sleep_daily`,\n - `activity_daily`,\n - `body_weight`,\n - `nutrition_daily`.\n\n## Fase 2 — nutrición\n\nElegir una fuente:\n\n- Si Ignacio usa o acepta usar MacroFactor: **MacroFactor**.\n- Si prioriza micronutrientes: **Cronometer**.\n- Si ya usa MyFitnessPal y se consigue API partner: **MFP**.\n- Si quiere Android hub: **Health Connect bridge**.\n\n## Fase 3 — Very Personal Trainer\n\nImplementar motor de decisiones:\n\n```python\ndef recommend_adjustments(context):\n \"\"\"\n context:\n - last_14d_weight_trend\n - last_7d_calories/protein\n - sleep_7d_avg\n - steps_7d_avg\n - hevy_progression\n - next_session\n \"\"\"\n\n recommendations = []\n\n if context[\"sleep_7d_avg_hours\"] < 6.5:\n recommendations.append({\n \"type\": \"training\",\n \"action\": \"cap_intensity\",\n \"details\": \"Mantener RPE <= 8 y evitar PRs hoy.\"\n })\n\n if context[\"weight_loss_pct_week\"] > 0.8 and context[\"performance_down\"]:\n recommendations.append({\n \"type\": \"nutrition\",\n \"action\": \"increase_calories\",\n \"details\": \"Subir 150-250 kcal, preferentemente carbs alrededor del entrenamiento.\"\n })\n\n if context[\"protein_g_per_kg\"] < 1.6:\n recommendations.append({\n \"type\": \"nutrition\",\n \"action\": \"increase_protein\",\n \"details\": \"Agregar una porción de proteína magra o whey.\"\n })\n\n return recommendations\n```\n\n---\n\n# Issues encontrados / puntos a validar\n\n1. **MacroFactor**\n - Reverse-engineered, no oficial.\n - Requiere validar paths Firestore exactos y credenciales.\n - Requiere revisar ToS.\n\n2. **MyFitnessPal**\n - API existe, pero parece de partners.\n - Requiere obtener client id/client secret.\n\n3. **Fitbit**\n - Muy viable.\n - Requiere app registrada y OAuth consent.\n - Fitbit Web API está en transición hacia Google Health API según docs comparativas, pero sigue siendo una opción práctica.\n\n4. **Health Connect**\n - Excelente para Android.\n - No sirve directamente desde Hermes cloud/local sin companion app Android.\n - Hay restricciones de permisos/foreground que requieren diseño cuidadoso.\n\n5. **Google Fit**\n - Deprecado; no iniciar salvo migración/histórico.\n\n6. **Cronometer**\n - Sin API pública individual.\n - MCP reverse-engineered usable, pero frágil.\n\n7. **Hevy**\n - Mejor integración para entrenamiento.\n - Requiere Hevy Pro API key.\n - API pública joven; docs advierten que puede cambiar.\n\n---\n\n# Archivos creados/modificados\n\nNo creé ni modifiqué archivos locales. Investigación realizada vía web y reporte consolidado en esta respuesta." } ], "id": "msg_06d181d56572b9c7016a06ff366d9081999e886ce9d5fce69d", "phase": "final_answer" } ] } ] }