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Gym AI Coach Agent for personalized fitness planning#119

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Gym AI Coach Agent for personalized fitness planning#119
harishdtu wants to merge 9 commits intoLamatic:mainfrom
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@harishdtu harishdtu commented Mar 30, 2026

PR Checklist

1. Select Contribution Type

  • Kit (kits/<category>/<kit-name>/)
  • Bundle (bundles/<bundle-name>/)
  • Template (templates/gym-ai-coach-agent/)

2. General Requirements

  • PR is for one project only (no unrelated changes)
  • No secrets, API keys, or real credentials are committed
  • Folder name uses kebab-case and matches the flow ID
  • All changes are documented in README.md (purpose, setup, usage)

3. File Structure (Check what applies)

  • config.json present with valid metadata
  • All flows include:
    • config.json
    • inputs.json
    • meta.json
    • README.md
  • No hand-edited flow config.json

4. Validation

  • PR title is clear ([template] Add Gym AI Coach Agent)
  • GitHub Actions workflows pass
  • No secrets committed
  • Only one project added

Files Added

  • templates/gym-ai-coach-agent/README.md — Agent documentation: purpose, features (Indian budget focus, workout planning, protein estimation), setup and usage.
  • templates/gym-ai-coach-agent/config.json — Agent metadata (name, description, tags, author) and high-level workflow steps.
  • templates/gym-ai-coach-agent/flows/gym-coach/README.md — Flow documentation: purpose, node list, inputs/outputs, contributor guidance.
  • templates/gym-ai-coach-agent/flows/gym-coach/config.json — Flow definition (166 lines) with full node and edge configuration.
  • templates/gym-ai-coach-agent/flows/gym-coach/inputs.json — Input template for the LLM node (model selection field).
  • templates/gym-ai-coach-agent/flows/gym-coach/meta.json — Flow metadata (name, tags, testInput placeholders).

Flow Architecture & Node Types

  • Total nodes: 3 (linear sequence) and 3 edges (including a response edge).
  1. triggerNode ("User Input")
    • Type: triggerNode
    • Role: captures user chat input and provides UI/branding configuration (bot name, image, placeholder, suggestions, greeting, colors, display mode).
    • Exposes chat history as {{triggerNode_1.output.chatHistory}}.
  2. dynamicNode / LLMNode ("AI Coach Engine")
    • Type: dynamicNode (LLM)
    • Role: core processing node that consumes chat history, runs a system + user prompt pair to generate a structured fitness plan.
    • Prompts: system prompt sets role as expert fitness coach with rules (Indian, budget-friendly, beginner-friendly, structured output); user prompt requests analysis, protein estimation, and a clearly structured plan format (profile, diet, workout, protein target, sources, tips).
    • Model: configured to use gemini/gemini-2.5-flash via a referenced credential (credential ID present in config; no secrets exposed in repo).
    • Output schema includes generatedResponse (string), images array, and tool_calls object.
  3. responseNode ("Final Response")
    • Type: responseNode
    • Role: returns the LLM-generated response to the user using content "{{LLMNode_567.output.generatedResponse}}".

High-level Flow Logic

  • User sends chat input (weight, goal, budget, diet preference) → triggerNode passes chat history to LLM node → LLM node analyzes input, estimates daily protein, and generates a structured, budget-conscious Indian beginner gym plan (diet, workout, protein sources, tips) → responseNode returns the formatted plan to the user.

Notable Details

  • Prompts enforce output structure and conditional guidance (e.g., vegetarian handling, low-budget suggestions).
  • LLM node configured for chat/generative model selection via inputs.json and references a provider credential (no secret values committed).

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Walkthrough

New Gym AI Coach Agent template added: documentation, agent-level config, and a three-node chat flow (trigger → LLM → response) plus inputs and metadata to generate Indian, budget-aware beginner fitness plans via a Gemini model integration.

Changes

Cohort / File(s) Summary
Agent Documentation
templates/gym-ai-coach-agent/README.md, templates/gym-ai-coach-agent/flows/gym-coach/README.md
Added two READMEs describing agent purpose, features, setup, usage, flow structure, required inputs, and contribution/support notes.
Agent Configuration
templates/gym-ai-coach-agent/config.json
New agent metadata and step definitions (name, description, tags, author, steps, env).
Flow Configuration
templates/gym-ai-coach-agent/flows/gym-coach/config.json
New chat flow wiring: Chat Trigger → LLM node (gemini/gemini-2.5-flash) with system/user prompts constraining output format (diet, workout, protein, tips) → Response node; includes UI/branding settings and model credential reference.
Flow Inputs & Metadata
templates/gym-ai-coach-agent/flows/gym-coach/inputs.json, templates/gym-ai-coach-agent/flows/gym-coach/meta.json
Added inputs template for model selection and metadata file with flow name and placeholder fields for description/tags/URLs.

Suggested reviewers

  • amanintech
🚥 Pre-merge checks | ✅ 3
✅ Passed checks (3 passed)
Check name Status Explanation
Title check ✅ Passed The title accurately describes the main contribution: adding a new Gym AI Coach Agent template for personalized fitness planning, which aligns with the changeset's core purpose.
Description check ✅ Passed The PR description comprehensively covers all required checklist items from the template, with all applicable sections checked and confirmed (contribution type, general requirements, file structure, and validation criteria).
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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  • Create PR with unit tests

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Actionable comments posted: 7

🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@templates/gym-ai-coach-agent/config.json`:
- Line 7: Update the step string that currently reads "Provide user input
(weight, goal, diet)" to include budget so it becomes "Provide user input
(weight, goal, diet, budget)"; locate and edit the corresponding entry in
templates/gym-ai-coach-agent/config.json (the step list string literal) so the
setup steps consistently include budget across templates and docs.

In `@templates/gym-ai-coach-agent/flows/gym-coach/config.json`:
- Around line 117-118: The combined constraint "If user is vegetarian → avoid
eggs/meat If budget is low → suggest cheap foods only" should be split into two
separate bullet constraints for clarity: create one bullet reading "If user is
vegetarian → avoid eggs/meat" and another reading "If budget is low → suggest
cheap foods only" in the same constraints list in config.json so the model
treats them as independent rules.
- Around line 128-130: The config currently hardcodes workspace-specific
credential values (credentialId: 32c708a5-14de-41ff-91fe-04edcd840f2a and
credential_name: gemini) which breaks portability; update the template to remove
those concrete values by replacing credentialId and credential_name with empty
strings, null, or a configurable placeholder (e.g., ${CREDENTIAL_ID} /
${CREDENTIAL_NAME}) and keep provider_name (gemini) if needed or make it
configurable as well so users must bind their own credentials at setup; ensure
any documentation or README notes that credentialId/credential_name must be
populated during deployment.
- Around line 1-170: The file currently contains YAML (starts with triggerNode:
and definitions like triggerNode_1, LLMNode_567, responseNode_triggerNode_1) and
therefore fails JSON parsing; fix by re-exporting the flow as JSON directly from
Lamatic Studio (do not hand-edit the content), replace the existing config.json
with the fresh Studio export, confirm the exported file is valid JSON and that
nodes triggerNode_1, LLMNode_567 and responseNode_triggerNode_1 remain intact,
then commit the exported JSON as-is.

In `@templates/gym-ai-coach-agent/flows/gym-coach/inputs.json`:
- Around line 2-5: The "input" string in
templates/gym-ai-coach-agent/flows/gym-coach/inputs.json contains raw newline
characters which break JSON validation; update the "input" value to a
single-line JSON string by replacing each literal newline with the escaped
sequence \n (e.g., "Weight: 61kg,\nGoal: Muscle Gain,\nBudget: Low,\nDiet:
Vegetarian") so the "input" key contains a valid JSON string.

In `@templates/gym-ai-coach-agent/flows/gym-coach/meta.json`:
- Around line 2-5: The "input" string in meta.json contains raw line breaks
which makes the JSON invalid; update the "input" value (the "input" property) to
either a single-line string or replace each literal newline with the escaped
sequence \n (e.g., "Weight: 61kg,\nGoal: Muscle Gain,\nBudget: Low,
Diet:\nVegetarian") so the JSON parses correctly and retains the same content.

In `@templates/gym-ai-coach-agent/README.md`:
- Around line 3-25: Add a blank line after each top-level heading to satisfy
markdownlint rules: insert an empty line after the headings "Problem",
"Solution", "Features", "Setup", and "Usage" in
templates/gym-ai-coach-agent/README.md, and ensure the file ends with exactly
one trailing newline; update the sections where lists or paragraphs immediately
follow a heading so there is a single blank line separating the heading from the
following content.
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Reviewing files that changed from the base of the PR and between afae1bd and da97ad7.

📒 Files selected for processing (6)
  • templates/gym-ai-coach-agent/README.md
  • templates/gym-ai-coach-agent/config.json
  • templates/gym-ai-coach-agent/flows/gym-coach/README.md
  • templates/gym-ai-coach-agent/flows/gym-coach/config.json
  • templates/gym-ai-coach-agent/flows/gym-coach/inputs.json
  • templates/gym-ai-coach-agent/flows/gym-coach/meta.json

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Requesting maintainer to add 'mission-possible' label if required.

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Requesting maintainer to add 'mission-possible' label if required.

@coderabbitai coderabbitai bot requested a review from amanintech March 30, 2026 19:25
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Actionable comments posted: 4

♻️ Duplicate comments (1)
templates/gym-ai-coach-agent/flows/gym-coach/config.json (1)

88-98: ⚠️ Potential issue | 🔴 Critical

Mission compromised: Hardcoded credential identifiers detected in operational template.

Agent, this is a critical security concern. The generativeModelName configuration at lines 95-97 contains workspace-specific credential bindings:

  • credentialId: "32c708a5-14de-41ff-91fe-04edcd840f2a" (internal UUID)
  • credential_name: "gemini" (workspace credential reference)

These values will fail in other environments and expose internal identifiers in a distributable artifact. The corresponding inputs.json correctly uses empty placeholders, but this flow config overrides them with hardcoded values.

Your mission: Clear these credential fields to ensure template portability.

🔐 Required credential sanitization
           "generativeModelName": [
             {
               "type": "generator/text",
               "params": {},
               "configName": "configA",
               "model_name": "gemini/gemini-2.5-flash",
-              "credentialId": "32c708a5-14de-41ff-91fe-04edcd840f2a",
+              "credentialId": "",
               "provider_name": "gemini",
-              "credential_name": "gemini"
+              "credential_name": ""
             }
           ]
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@templates/gym-ai-coach-agent/flows/gym-coach/config.json` around lines 88 -
98, The flow config under generativeModelName (entry with configName "configA"
and model_name "gemini/gemini-2.5-flash") contains hardcoded credentialId and
credential_name values; remove or clear those fields (or replace them with the
same empty placeholder tokens used in inputs.json) so the template does not
embed workspace-specific UUIDs and will read credentials from inputs at runtime
instead of using "32c708a5-14de-41ff-91fe-04edcd840f2a" or "gemini".
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@templates/gym-ai-coach-agent/config.json`:
- Around line 6-10: The steps array items in the "steps" key are indented
inconsistently with other top-level keys; fix by aligning each string element in
the "steps" array to match the file's established indentation style (indent the
array items to the same column as other top-level values under the root object),
ensuring consistent spacing before each quoted string in the "steps" array.

In `@templates/gym-ai-coach-agent/flows/gym-coach/config.json`:
- Around line 17-27: Replace the default Lamatic branding values in the chat
configuration by updating the "botName" to a fitness-focused name (e.g., "Gym AI
Coach"), change "imageUrl" to a fitness/coach avatar, adjust "placeholder" to
something like "Ask your fitness coach...", and replace the "suggestions" array
with fitness-themed prompts (e.g., workout plans, nutrition tips, form checks);
also verify "policyUrl" points to your product/privacy page or remove if not
applicable and ensure "displayMode" and "position" remain appropriate for the
widget.

In `@templates/gym-ai-coach-agent/flows/gym-coach/README.md`:
- Line 57: Replace the plain text "Check the Lamatic documentation at
docs.lamatic.ai" with an actionable hyperlink by converting it to markdown link
syntax (for example: "Check the Lamatic documentation at
https://docs.lamatic.ai" or "[Lamatic documentation](https://docs.lamatic.ai)");
update the README entry that currently contains that exact phrase so the
documentation reference becomes clickable in rendered docs.
- Around line 1-5: Update the "## About This Flow" section under the "# 1 -
Getting Started" header to replace generic boilerplate with a precise mission
statement describing that the Gym Coach flow generates personalized fitness and
diet plans; list core capabilities (personalized workout plan generation, diet
plan tailored to preferences and restrictions, progress tracking, and suggestion
of low-cost, India-specific food/substitute options), emphasize the
India-focused, budget-friendly approach, and enumerate expected user inputs
(e.g., weight, height, fitness goal, budget, diet type/restrictions, activity
level) so integrators and agents clearly know the flow's objective and required
data.

---

Duplicate comments:
In `@templates/gym-ai-coach-agent/flows/gym-coach/config.json`:
- Around line 88-98: The flow config under generativeModelName (entry with
configName "configA" and model_name "gemini/gemini-2.5-flash") contains
hardcoded credentialId and credential_name values; remove or clear those fields
(or replace them with the same empty placeholder tokens used in inputs.json) so
the template does not embed workspace-specific UUIDs and will read credentials
from inputs at runtime instead of using "32c708a5-14de-41ff-91fe-04edcd840f2a"
or "gemini".
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
⚙️ Run configuration

Configuration used: Repository UI (base), Organization UI (inherited)

Review profile: ASSERTIVE

Plan: Pro

Run ID: 6bde8756-9957-42c1-bab5-03fc329c6ff7

📥 Commits

Reviewing files that changed from the base of the PR and between da97ad7 and 6adda56.

📒 Files selected for processing (5)
  • templates/gym-ai-coach-agent/config.json
  • templates/gym-ai-coach-agent/flows/gym-coach/README.md
  • templates/gym-ai-coach-agent/flows/gym-coach/config.json
  • templates/gym-ai-coach-agent/flows/gym-coach/inputs.json
  • templates/gym-ai-coach-agent/flows/gym-coach/meta.json

Comment on lines +6 to +10
"steps": [
"Provide user input (weight, goal, budget, diet)",
"Generate fitness plan",
"Return structured output"
],
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🧹 Nitpick | 🔵 Trivial

Mission brief: Minor indentation inconsistency detected in the steps array.

Agent, while the JSON parses correctly, the steps array items use inconsistent indentation compared to other top-level values. This won't break functionality but affects readability.

🔧 Suggested formatting alignment
   "steps": [
-  "Provide user input (weight, goal, budget, diet)",
-  "Generate fitness plan",
-  "Return structured output"
-],
+    "Provide user input (weight, goal, budget, diet)",
+    "Generate fitness plan",
+    "Return structured output"
+  ],
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
"steps": [
"Provide user input (weight, goal, budget, diet)",
"Generate fitness plan",
"Return structured output"
],
"steps": [
"Provide user input (weight, goal, budget, diet)",
"Generate fitness plan",
"Return structured output"
],
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@templates/gym-ai-coach-agent/config.json` around lines 6 - 10, The steps
array items in the "steps" key are indented inconsistently with other top-level
keys; fix by aligning each string element in the "steps" array to match the
file's established indentation style (indent the array items to the same column
as other top-level values under the root object), ensuring consistent spacing
before each quoted string in the "steps" array.

Comment on lines +17 to +27
"botName": "Lamatic Bot",
"imageUrl": "https://img.freepik.com/premium-vector/robot-android-super-hero_111928-7.jpg?w=826",
"position": "right",
"policyUrl": "https://lamatic.ai/docs/legal/privacy-policy",
"displayMode": "popup",
"placeholder": "Compose your message",
"suggestions": [
"What is lamatic?",
"How do I add data to my chatbot?",
"Explain this product to me"
],
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🧹 Nitpick | 🔵 Trivial

Mission observation: Chat widget branding uses default Lamatic configuration.

Agent, the chatConfig contains default Lamatic branding (bot name, suggestions about "What is lamatic?", greeting mentioning "Lamatic Bot"). For a Gym AI Coach template, consider customizing these to match the fitness coaching context.

💪 Fitness-themed chat configuration
           "chatConfig": {
-            "botName": "Lamatic Bot",
+            "botName": "Gym AI Coach",
             "imageUrl": "https://img.freepik.com/premium-vector/robot-android-super-hero_111928-7.jpg?w=826",
             ...
             "suggestions": [
-              "What is lamatic?",
-              "How do I add data to my chatbot?",
-              "Explain this product to me"
+              "Create a muscle gain plan for 70kg",
+              "Vegetarian diet plan on a budget",
+              "Beginner workout routine for weight loss"
             ],
             ...
-            "greetingMessage": "Hi, I am Lamatic Bot. Ask me anything about Lamatic",
+            "greetingMessage": "Hi, I'm your Gym AI Coach! Share your weight, fitness goal, budget, and diet preference for a personalized plan.",
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@templates/gym-ai-coach-agent/flows/gym-coach/config.json` around lines 17 -
27, Replace the default Lamatic branding values in the chat configuration by
updating the "botName" to a fitness-focused name (e.g., "Gym AI Coach"), change
"imageUrl" to a fitness/coach avatar, adjust "placeholder" to something like
"Ask your fitness coach...", and replace the "suggestions" array with
fitness-themed prompts (e.g., workout plans, nutrition tips, form checks); also
verify "policyUrl" points to your product/privacy page or remove if not
applicable and ensure "displayMode" and "position" remain appropriate for the
widget.

Comment on lines +1 to +5
# 1 - Getting Started

## About This Flow

This flow automates a workflow with **3 nodes** working together to process and transform data. The flow is designed to streamline operations and can be easily integrated into your existing systems.
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🧹 Nitpick | 🔵 Trivial

Mission advisory: Generic documentation doesn't brief agents on the actual objective.

Agent, this README uses boilerplate content that doesn't describe the Gym Coach flow's actual mission: generating personalized fitness and diet plans. Users deploying this template would benefit from knowing:

  • What fitness planning capabilities this flow provides
  • The India-focused, budget-friendly approach
  • Expected user inputs (weight, goal, budget, diet type)

Consider customizing the description to match the flow's specialized function rather than keeping generic "Getting Started" content.

📝 Suggested customization for flow description
-# 1 - Getting Started
+# Gym AI Coach Flow

 ## About This Flow

-This flow automates a workflow with **3 nodes** working together to process and transform data. The flow is designed to streamline operations and can be easily integrated into your existing systems.
+This flow generates personalized, budget-friendly fitness and diet plans tailored for Indian users. It processes user input (weight, fitness goal, budget, diet type) through an AI coach that creates structured workout routines, diet recommendations, and protein targets.
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
# 1 - Getting Started
## About This Flow
This flow automates a workflow with **3 nodes** working together to process and transform data. The flow is designed to streamline operations and can be easily integrated into your existing systems.
# Gym AI Coach Flow
## About This Flow
This flow generates personalized, budget-friendly fitness and diet plans tailored for Indian users. It processes user input (weight, fitness goal, budget, diet type) through an AI coach that creates structured workout routines, diet recommendations, and protein targets.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@templates/gym-ai-coach-agent/flows/gym-coach/README.md` around lines 1 - 5,
Update the "## About This Flow" section under the "# 1 - Getting Started" header
to replace generic boilerplate with a precise mission statement describing that
the Gym Coach flow generates personalized fitness and diet plans; list core
capabilities (personalized workout plan generation, diet plan tailored to
preferences and restrictions, progress tracking, and suggestion of low-cost,
India-specific food/substitute options), emphasize the India-focused,
budget-friendly approach, and enumerate expected user inputs (e.g., weight,
height, fitness goal, budget, diet type/restrictions, activity level) so
integrators and agents clearly know the flow's objective and required data.


For questions or issues with this flow:
- Review the node documentation for specific integrations
- Check the Lamatic documentation at docs.lamatic.ai
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🧹 Nitpick | 🔵 Trivial

Mission intel: Documentation link should be actionable.

Agent, the documentation reference at Line 57 isn't formatted as a clickable hyperlink. Field operatives need quick access.

🔗 Convert to hyperlink
-- Check the Lamatic documentation at docs.lamatic.ai
+- Check the [Lamatic documentation](https://docs.lamatic.ai)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
- Check the Lamatic documentation at docs.lamatic.ai
- Check the [Lamatic documentation](https://docs.lamatic.ai)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@templates/gym-ai-coach-agent/flows/gym-coach/README.md` at line 57, Replace
the plain text "Check the Lamatic documentation at docs.lamatic.ai" with an
actionable hyperlink by converting it to markdown link syntax (for example:
"Check the Lamatic documentation at https://docs.lamatic.ai" or "[Lamatic
documentation](https://docs.lamatic.ai)"); update the README entry that
currently contains that exact phrase so the documentation reference becomes
clickable in rendered docs.

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This LGTM in working, but structurally is incorrect. You can keep all the files inside the gym-ai-coach-agent as they are. See the other templates

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harishdtu commented Mar 31, 2026 via email

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