diff --git a/.devenv/gc/shell b/.devenv/gc/shell index f0d48df..f11c432 120000 --- a/.devenv/gc/shell +++ b/.devenv/gc/shell @@ -1 +1 @@ -shell-2-link \ No newline at end of file +shell-3-link \ No newline at end of file diff --git a/.devenv/gc/shell-2-link b/.devenv/gc/shell-2-link deleted file mode 120000 index 519f51d..0000000 --- a/.devenv/gc/shell-2-link +++ /dev/null @@ -1 +0,0 @@ -/nix/store/qxazl8yhcdz2wk59d6mmddpv9pq29c8d-devenv-shell-env \ No newline at end of file diff --git a/.devenv/gc/shell-3-link b/.devenv/gc/shell-3-link new file mode 120000 index 0000000..142b3d5 --- /dev/null +++ b/.devenv/gc/shell-3-link @@ -0,0 +1 @@ +/nix/store/9cqy06kviys1l8i8wi3xjhbag79x4n43-devenv-shell-env \ No newline at end of file diff --git a/.devenv/profile b/.devenv/profile index 64ec113..136ae09 120000 --- a/.devenv/profile +++ b/.devenv/profile @@ -1 +1 @@ -/nix/store/vrvd506yf1kpd26bhbsism153ikyz45x-devenv-profile \ No newline at end of file +/nix/store/1cgai9zb0i4akvwya7w0q2xr1dcs1dfj-devenv-profile \ No newline at end of file diff --git a/.dialyzer_ignore.exs b/.dialyzer_ignore.exs new file mode 100644 index 0000000..6d1a3f4 --- /dev/null +++ b/.dialyzer_ignore.exs @@ -0,0 +1,19 @@ +# Jido framework macro-generated code issues +# All errors below are false positives from the Jido.Agent and Jido.Action macros +# Use Path.expand for deps to work in both CI and local environments + +[ + # Unused functions - these ARE used but Dialyzer can't trace through macro expansion + {Path.expand("deps/jido/lib/jido/agent.ex"), :unused_fun}, + + # Contract violations - macro-generated specs don't match Dialyzer's inference + {Path.expand("deps/jido/lib/jido/agent.ex"), :call}, + + # Invalid contracts in our agent modules - generated by `use Jido.Agent` macro + {"lib/labs_jido_agent/code_review_agent.ex", :invalid_contract}, + {"lib/labs_jido_agent/progress_coach_agent.ex", :invalid_contract}, + {"lib/labs_jido_agent/study_buddy_agent.ex", :invalid_contract}, + + # Pattern match issue in progress coach action - macro-generated validation code + {"lib/labs_jido_agent/progress_coach_action.ex", :pattern_match} +] diff --git a/.github/workflows/jido-review.yml b/.github/workflows/jido-review.yml new file mode 100644 index 0000000..68c7ea4 --- /dev/null +++ b/.github/workflows/jido-review.yml @@ -0,0 +1,147 @@ +name: Jido AI Code Review + +# ℹ️ This workflow uses Jido v1.0 agents with simulated AI responses +# It provides educational code review feedback via pattern matching + +on: + pull_request: + types: [opened, synchronize, reopened] + paths: + - 'apps/**/lib/**/*.ex' + - 'lib/**/*.ex' + +jobs: + jido-review: + runs-on: ubuntu-latest + name: AI Code Review + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Set up Elixir + uses: erlef/setup-beam@v1 + with: + elixir-version: '1.17' + otp-version: '27' + + - name: Restore dependencies cache + uses: actions/cache@v3 + with: + path: | + deps + _build + key: ${{ runner.os }}-mix-${{ hashFiles('**/mix.lock') }} + restore-keys: ${{ runner.os }}-mix- + + - name: Install dependencies + run: mix deps.get + + - name: Compile + run: mix compile + + - name: Run Jido Code Review + id: review + run: | + set +e # Don't exit on errors + + # Detect which files changed + git fetch origin "${{ github.base_ref }}" || { + echo "Failed to fetch base branch" + echo "No review output generated" > review_output.txt + exit 0 + } + + CHANGED_FILES=$(git diff --name-only "origin/${{ github.base_ref }}...HEAD" | grep '\.ex$' || true) + + if [ -z "$CHANGED_FILES" ]; then + echo "No Elixir files changed" + echo "No Elixir files changed in this PR" > review_output.txt + exit 0 + fi + + echo "Reviewing changed files:" + echo "$CHANGED_FILES" + + # Run jido.grade on changed files + # Note: This is a simplified version - full implementation would review individual files + mix jido.grade --interactive > review_output.txt 2>&1 + GRADE_EXIT=$? + + cat review_output.txt + + echo "Jido grade exit code: $GRADE_EXIT" + exit 0 # Always succeed so we can post comments + + - name: Post review comment + if: always() + uses: actions/github-script@v7 + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + script: | + const fs = require('fs'); + let reviewOutput = ''; + + try { + reviewOutput = fs.readFileSync('review_output.txt', 'utf8'); + } catch (error) { + reviewOutput = 'No review output generated'; + } + + const body = `## πŸ€– Jido AI Code Review + + ${reviewOutput} + + --- + *This is an automated review by Jido AI agents. Please review the suggestions and apply improvements as appropriate.* + + To run locally: + \`\`\`bash + mix jido.grade --interactive + \`\`\` + `; + + // Post comment on PR + github.rest.issues.createComment({ + owner: context.repo.owner, + repo: context.repo.repo, + issue_number: context.issue.number, + body: body + }); + + grade-check: + runs-on: ubuntu-latest + name: Code Quality Gate + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Set up Elixir + uses: erlef/setup-beam@v1 + with: + elixir-version: '1.17' + otp-version: '27' + + - name: Restore dependencies cache + uses: actions/cache@v3 + with: + path: | + deps + _build + key: ${{ runner.os}}-mix-${{ hashFiles('**/mix.lock') }} + restore-keys: ${{ runner.os }}-mix- + + - name: Install dependencies + run: mix deps.get + + - name: Compile + run: mix compile + + - name: Run quality gate + run: | + # Run with threshold of 70 (configurable) + mix jido.grade --threshold 70 + continue-on-error: true + # Allow PR to proceed even if quality gate fails + # But the check status will show the failure diff --git a/.gitignore b/.gitignore index 895a6e6..1fd01b5 100644 --- a/.gitignore +++ b/.gitignore @@ -59,3 +59,6 @@ Thumbs.db # Observability /observability/grafana/provisioning/ + +# Dialyzer +/priv/plts/ diff --git a/Makefile b/Makefile index 739654d..3833331 100644 --- a/Makefile +++ b/Makefile @@ -62,3 +62,15 @@ smoke: ## Run smoke tests livebook: ## Start Livebook server livebook server --home livebooks/ + +jido-grade: ## Grade current code with Jido AI + mix jido.grade + +jido-grade-interactive: ## Grade with detailed interactive feedback + mix jido.grade --interactive + +jido-ask: ## Ask Jido a question (usage: make jido-ask QUESTION="What is recursion?") + mix jido.ask "$(QUESTION)" + +jido-scaffold: ## Scaffold a new project (usage: make jido-scaffold TYPE=genserver NAME=Counter PHASE=3) + mix jido.scaffold --type $(TYPE) --name $(NAME) --phase $(PHASE) diff --git a/README.md b/README.md index 3cfe6ad..1d6582e 100644 --- a/README.md +++ b/README.md @@ -79,6 +79,48 @@ make livebook See `livebooks/README.md` for more details. +## πŸ€– AI-Powered Learning with Jido + +> βœ… **Fully Functional:** The Jido integration uses the real Jido v1.0 framework with LLM-powered AI responses for enhanced learning. See `apps/labs_jido_agent/README.md` for details. + +This repository integrates the **Jido AI Agent Framework** for enhanced learning: + +```bash +# Get AI help with Elixir concepts +make jido-ask QUESTION="What is tail recursion?" + +# Grade your code with AI review +make jido-grade + +# Interactive detailed feedback +make jido-grade-interactive + +# Scaffold new projects with best practices +make jido-scaffold TYPE=genserver NAME=Counter PHASE=3 +``` + +**AI Agents Available:** + +- **Code Review Agent** - Analyzes code quality, finds issues, suggests improvements +- **Study Buddy Agent** - Answers questions about Elixir concepts (explain/socratic/example modes) +- **Progress Coach Agent** - Analyzes learning progress, provides personalized recommendations +- **Jido Assistant** - Livebook Smart Cell for interactive help while coding + +**Example Usage:** + +```bash +# Ask a question +mix jido.ask "How do I use pattern matching?" + +# Grade your Phase 1 code +mix jido.grade --phase 1 --interactive + +# Scaffold a new GenServer project +mix jido.scaffold --type genserver --name UserCache --phase 3 --features ttl,telemetry +``` + +See `apps/labs_jido_agent/README.md` and `livebooks/phase-15-ai/` for complete documentation. + ## πŸ“š Documentation - **[Roadmap](docs/roadmap.md)** - Learning phases and milestones diff --git a/apps/labs_jido_agent/.env.example b/apps/labs_jido_agent/.env.example new file mode 100644 index 0000000..f4b20b0 --- /dev/null +++ b/apps/labs_jido_agent/.env.example @@ -0,0 +1,18 @@ +# LLM Provider Configuration +# Choose one: openai, anthropic, or gemini +LLM_PROVIDER=openai + +# OpenAI Configuration +# Get your API key from: https://platform.openai.com/api-keys +OPENAI_API_KEY=sk-proj-... + +# Anthropic Configuration +# Get your API key from: https://console.anthropic.com/settings/keys +ANTHROPIC_API_KEY=sk-ant-... + +# Google Gemini Configuration +# Get your API key from: https://aistudio.google.com/app/apikey +GEMINI_API_KEY=... + +# Note: You only need to set the API key for the provider you're using. +# The system will automatically fall back to simulated mode if no API key is configured. diff --git a/apps/labs_jido_agent/LLM_SETUP.md b/apps/labs_jido_agent/LLM_SETUP.md new file mode 100644 index 0000000..57bc679 --- /dev/null +++ b/apps/labs_jido_agent/LLM_SETUP.md @@ -0,0 +1,224 @@ +# LLM Integration Setup Guide + +This guide explains how to configure the LabsJidoAgent educational AI system to use real LLM providers. + +## Overview + +LabsJidoAgent supports three LLM providers: +- **OpenAI** (GPT-4, GPT-3.5) +- **Anthropic** (Claude 3.5 Sonnet, Claude 3 Haiku) +- **Google Gemini** (Gemini 1.5 Pro, Gemini 1.5 Flash) + +The system automatically falls back to simulated mode if no API key is configured, ensuring the application works without requiring LLM access. + +## Quick Start + +1. **Copy the environment template:** + ```bash + cp .env.example .env + ``` + +2. **Choose your provider and add your API key:** + + Edit `.env` and set: + ```bash + LLM_PROVIDER=openai # or anthropic, or gemini + OPENAI_API_KEY=sk-proj-your-key-here + ``` + +3. **Load environment variables before running:** + ```bash + source .env + mix test + ``` + + Or use `direnv` for automatic loading: + ```bash + echo "dotenv" >> .envrc + direnv allow + ``` + +## Getting API Keys + +### OpenAI +1. Visit [OpenAI Platform](https://platform.openai.com/api-keys) +2. Sign in or create an account +3. Create a new API key +4. Copy the key (starts with `sk-proj-`) + +### Anthropic +1. Visit [Anthropic Console](https://console.anthropic.com/settings/keys) +2. Sign in or create an account +3. Create a new API key +4. Copy the key (starts with `sk-ant-`) + +### Google Gemini +1. Visit [Google AI Studio](https://aistudio.google.com/app/apikey) +2. Sign in with your Google account +3. Create a new API key +4. Copy the key + +## Model Selection + +The system uses three model tiers that automatically map to the appropriate model for your provider: + +| Tier | Use Case | OpenAI | Anthropic | Gemini | +|------|----------|--------|-----------|--------| +| `:fast` | Quick responses | gpt-3.5-turbo | claude-3-haiku-20240307 | gemini-1.5-flash | +| `:balanced` | Good quality/speed | gpt-4-turbo-preview | claude-3-5-sonnet-20241022 | gemini-1.5-pro-latest | +| `:smart` | Best quality | gpt-4-turbo-preview | claude-3-5-sonnet-20241022 | gemini-1.5-pro-latest | + +You don't need to configure models manually - the system chooses the appropriate one based on the task: +- **Code Review**: Uses `:smart` (highest quality) +- **Study Buddy**: Uses `:balanced` (good balance) +- **Progress Coach**: Uses `:balanced` (good balance) + +## Usage Examples + +### Code Review + +```elixir +# With LLM (default) +code = """ +defmodule MyList do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) +end +""" + +{:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1) +IO.inspect(feedback.llm_powered) # true +IO.inspect(feedback.score) +IO.inspect(feedback.issues) + +# Force simulated mode +{:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, + phase: 1, use_llm: false) +IO.inspect(feedback.llm_powered) # false +``` + +### Study Buddy + +```elixir +# Ask a question +{:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask( + "What is tail recursion?", + phase: 1, + mode: :explain +) + +IO.puts(response.answer) +IO.inspect(response.concepts) +IO.inspect(response.resources) +``` + +### Progress Coach + +```elixir +# Analyze progress +{:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123") + +IO.inspect(advice.recommendations) +IO.inspect(advice.next_phase) +IO.inspect(advice.strengths) +``` + +## Simulated Mode + +If no API key is configured, or if you explicitly set `use_llm: false`, the system uses simulated responses: + +- **Code Review**: Pattern-based analysis for common issues +- **Study Buddy**: Pre-configured explanations for common topics +- **Progress Coach**: Statistical analysis of progress data + +This ensures the system is useful even without LLM access, making it ideal for: +- Testing and development +- Cost-conscious deployments +- Offline environments +- Educational demonstrations + +## Testing + +Run tests in simulated mode (no API key needed): +```bash +mix test +``` + +Run tests with LLM (requires API key): +```bash +LLM_PROVIDER=openai OPENAI_API_KEY=sk-... mix test +``` + +All tests should pass regardless of LLM availability. + +## Cost Considerations + +### Typical Costs per Request + +**OpenAI GPT-4:** +- Code review (~1000 tokens): $0.01 - $0.03 +- Q&A (~500 tokens): $0.005 - $0.015 + +**Anthropic Claude:** +- Code review: $0.003 - $0.015 +- Q&A: $0.001 - $0.008 + +**Google Gemini:** +- Code review: Free tier available, then $0.001 - $0.005 +- Q&A: Free tier available, then $0.0005 - $0.003 + +### Cost Optimization Tips + +1. Use simulated mode for development/testing +2. Use `:fast` models for less critical tasks +3. Set reasonable timeout limits +4. Monitor usage via provider dashboards + +## Troubleshooting + +### LLM not being used + +Check: +1. API key is correctly set: `echo $OPENAI_API_KEY` +2. Provider matches key: `LLM_PROVIDER=openai` for OpenAI keys +3. `use_llm: true` is set (default) + +Test availability: +```elixir +iex> LabsJidoAgent.LLM.available?() +true + +iex> LabsJidoAgent.LLM.provider() +:openai +``` + +### API Errors + +Common issues: +- **Invalid API key**: Check key is correct and active +- **Rate limits**: Wait and retry, or upgrade plan +- **Model not found**: Check provider has access to the model +- **Timeout**: Increase timeout or use `:fast` model + +The system automatically falls back to simulated mode on LLM errors. + +## Architecture + +The LLM integration uses: +- **Instructor**: For structured LLM output with validation +- **Ecto Schemas**: Define expected response structure +- **Graceful Fallback**: Automatic simulated mode on errors + +Key modules: +- `LabsJidoAgent.LLM` - Provider abstraction and configuration +- `LabsJidoAgent.Schemas` - Response validation schemas +- `LabsJidoAgent.*Action` - LLM integration with fallback + +## Next Steps + +1. Configure your API key +2. Try the interactive examples above +3. Explore the Livebook notebooks with LLM-powered assistance +4. Review the code in `apps/labs_jido_agent/lib/labs_jido_agent/` + +For questions or issues, please open a GitHub issue. diff --git a/apps/labs_jido_agent/README.md b/apps/labs_jido_agent/README.md new file mode 100644 index 0000000..5390eb1 --- /dev/null +++ b/apps/labs_jido_agent/README.md @@ -0,0 +1,323 @@ +# Labs: Jido Agent + +**Phase 15: AI/ML Integration** + +An educational lab demonstrating AI agent patterns in Elixir using the Jido v1.0 framework. + +> ℹ️ **Implementation Note** +> +> This implementation uses **simulated AI responses** (pattern matching, not actual LLMs). +> It demonstrates the Jido Agent + Action architecture and educational tooling patterns. +> +> **What works:** +> - βœ… Full Jido v1.0 Agent and Action implementation +> - βœ… All tests passing (14/14) +> - βœ… Mix tasks functional +> - βœ… Proper error handling +> +> **What's simulated:** +> - AI responses are hardcoded (not using Instructor/LLM) +> - Pattern-based code analysis (not AST parsing) +> +> **For production use:** Replace simulated logic with actual LLM calls via Instructor. + +## 🎯 Learning Objectives + +By completing this lab, you will: + +- Understand agent-based architecture (plan β†’ act β†’ observe) +- Build AI agents with structured lifecycles +- Integrate LLMs into Elixir systems +- Handle async workflows with supervision +- Implement multi-agent coordination patterns +- Learn RAG (Retrieval Augmented Generation) patterns + +## πŸ€– Agents Included + +### 1. Code Review Agent +**File:** `lib/labs_jido_agent/code_review_agent.ex` + +Reviews Elixir code and provides constructive feedback on: +- Code quality and idioms +- Performance issues (tail recursion, etc.) +- Documentation completeness +- Pattern matching usage + +**Example:** +```elixir +code = """ +defmodule MyList do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) +end +""" + +{:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1) +IO.inspect(feedback.issues) +# => [%{type: :performance, message: "Non-tail-recursive function detected", ...}] +``` + +### 2. Study Buddy Agent +**File:** `lib/labs_jido_agent/study_buddy_agent.ex` + +Answers questions about Elixir concepts using knowledge base retrieval. + +**Modes:** +- `:explain` - Direct explanations with examples +- `:socratic` - Guides learning through questions +- `:example` - Provides code examples + +**Example:** +```elixir +{:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?") +IO.puts(response.answer) +# => "Tail-call optimization occurs when..." + +IO.inspect(response.resources) +# => ["Livebook: phase-01-core/02-recursion.livemd", ...] +``` + +### 3. Progress Coach Agent +**File:** `lib/labs_jido_agent/progress_coach_agent.ex` + +Analyzes learning progress and provides personalized recommendations. + +**Features:** +- Reads `.progress.json` automatically +- Identifies strengths and challenges +- Suggests next phases +- Recommends review areas +- Estimates time to completion + +**Example:** +```elixir +{:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123") + +IO.inspect(advice.recommendations) +# => [%{priority: :high, message: "You're doing great on phase-01-core!"}] + +IO.inspect(advice.next_phase) +# => %{phase: "phase-02-processes", prerequisite_met: true} +``` + +## πŸ“š Key Concepts Demonstrated + +### Agent Lifecycle + +All agents follow the Jido lifecycle: + +1. **Plan** - Analyze input and create execution plan +2. **Act** - Execute the plan (call LLM, analyze data, etc.) +3. **Observe** - Generate observations and signals + +```elixir +defmodule MyAgent do + use Jido.Agent + + @impl Jido.Agent + def plan(agent, directive) do + # Extract parameters, create plan + {:ok, Agent.put_plan(agent, plan)} + end + + @impl Jido.Agent + def act(agent) do + # Execute plan, generate result + {:ok, Agent.put_result(agent, result)} + end + + @impl Jido.Agent + def observe(agent) do + # Create observations, emit signals + {:ok, agent, [signal]} + end +end +``` + +### Directive Pattern + +Agents receive work via `Directive` structs: + +```elixir +directive = Directive.new(:review_code, + params: %{ + code: "...", + phase: 1 + } +) + +{:ok, agent} = Jido.Agent.run(CodeReviewAgent, directive) +``` + +### State Management + +Agents maintain state through the execution: + +```elixir +# Set plan +agent = Agent.put_plan(agent, %{step: 1}) + +# Get plan +plan = Agent.get_plan(agent) + +# Set result +agent = Agent.put_result(agent, %{output: "done"}) + +# Get result +result = Agent.get_result(agent) +``` + +## πŸ§ͺ Running the Agents + +### Interactive Testing (IEx) + +```elixir +# Start IEx with the app +iex -S mix + +# Test Code Review Agent +code = "defmodule Example do\n def hello, do: :world\nend" +{:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code) + +# Test Study Buddy +{:ok, answer} = LabsJidoAgent.StudyBuddyAgent.ask("What is pattern matching?") + +# Test Progress Coach +{:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("me") +``` + +### From Other Apps + +```elixir +# In mix.exs deps +defp deps do + [ + {:labs_jido_agent, in_umbrella: true} + ] +end + +# Then use +alias LabsJidoAgent.CodeReviewAgent + +{:ok, feedback} = CodeReviewAgent.review(my_code, phase: 3) +``` + +## πŸ”¬ Exercises + +### Exercise 1: Extend Code Review Agent + +Add a new review aspect: + +```elixir +# Add to get_review_aspects/2 +defp get_review_aspects(phase, :security) do + [:sql_injection, :xss, :secrets_in_code] +end + +# Implement detection in analyze_code_structure/2 +if :secrets_in_code in aspects and String.contains?(code, "password =") do + # Add security warning +end +``` + +### Exercise 2: Build a Test Generator Agent + +Create an agent that generates property tests: + +```elixir +defmodule LabsJidoAgent.TestGeneratorAgent do + use Jido.Agent, + name: "test_generator", + schema: [ + function_code: [type: :string, required: true], + test_type: [type: {:in, [:property, :example]}, default: :property] + ] + + # Implement plan/2, act/1, observe/1 + # Generate StreamData property tests based on function signature +end +``` + +### Exercise 3: Multi-Agent Workflow + +Create a workflow that coordinates multiple agents: + +```elixir +defmodule LabsJidoAgent.FullReviewWorkflow do + # 1. Code Review Agent analyzes code + # 2. Test Generator creates tests + # 3. Study Buddy explains any issues found + # 4. Progress Coach updates student progress +end +``` + +### Exercise 4: Add LLM Integration + +Replace simulated responses with real LLM calls using Instructor: + +```elixir +defmodule CodeReviewSchema do + use Ecto.Schema + + @primary_key false + embedded_schema do + field :score, :integer + embeds_many :issues, Issue do + field :type, :string + field :severity, :string + field :message, :string + field :suggestion, :string + end + end +end + +# In act/1 +{:ok, review} = Instructor.chat_completion( + model: "gpt-4", + response_model: CodeReviewSchema, + messages: [ + %{role: "user", content: "Review this Elixir code: #{code}"} + ] +) +``` + +## πŸŽ“ Learning Path + +1. **Read the Code** - Study each agent implementation +2. **Understand Lifecycle** - Trace plan β†’ act β†’ observe flow +3. **Run Examples** - Test agents in IEx +4. **Complete Exercises** - Build new features +5. **Integrate LLMs** - Add real AI capabilities +6. **Build Multi-Agent Systems** - Coordinate multiple agents + +## πŸ“– Resources + +- **Jido Documentation**: https://github.com/agentjido/jido +- **Instructor (Elixir)**: Structured LLM outputs +- **Agent Patterns**: Plan-Act-Observe architecture +- **RAG**: Retrieval Augmented Generation + +## πŸš€ Next Steps + +After mastering this lab: + +1. Add agents to Livebook (Smart Cell integration) +2. Build a code grading system +3. Create an adaptive learning path generator +4. Implement pair programming assistant +5. Build multi-agent project scaffolder + +## 🧩 Integration with Learning System + +These agents are designed to integrate with: + +- **Livebook** - Smart Cells for interactive assistance +- **Mix Tasks** - CLI tools for grading and help +- **Progress Tracking** - Automated coaching +- **CI/CD** - Automated code review in PRs + +See the main repository for full integration examples! + +## πŸ“ License + +Part of Elixir Systems Mastery learning repository. diff --git a/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Application.html b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Application.html new file mode 100644 index 0000000..c8592bd --- /dev/null +++ b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Application.html @@ -0,0 +1,209 @@ + + + + +cover/Elixir.LabsJidoAgent.Application.html + + + +

cover/Elixir.LabsJidoAgent.Application.html

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
1defmodule LabsJidoAgent.Application do
2 @moduledoc """
3 Application for Jido Agent labs demonstrating AI agent patterns in Elixir.
4 """
5
6 use Application
7
8 @impl true
9 def start(_type, _args) do
10
:-(
children = [
11 # Agent registry for dynamic agent management
12 {Registry, keys: :unique, name: LabsJidoAgent.Registry}
13 ]
14
15
:-(
opts = [strategy: :one_for_one, name: LabsJidoAgent.Supervisor]
16
:-(
Supervisor.start_link(children, opts)
17 end
18end
LineHitsSource
+ + diff --git a/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.CodeReviewAction.html b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.CodeReviewAction.html new file mode 100644 index 0000000..0ea2e44 --- /dev/null +++ b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.CodeReviewAction.html @@ -0,0 +1,1739 @@ + + + + +cover/Elixir.LabsJidoAgent.CodeReviewAction.html + + + +

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1defmodule LabsJidoAgent.CodeReviewAction do
2 @moduledoc """
3 A Jido Action that reviews Elixir code using LLM-powered analysis.
4
5 This action demonstrates:
6 - Using Jido.Action behavior
7 - LLM integration via Instructor
8 - Structured parameter validation
9 - Educational feedback generation
10
11 ## LLM vs Simulated Mode
12
13 By default, uses real LLM if configured (via OPENAI_API_KEY, etc).
14 Falls back to simulated pattern-based analysis if LLM unavailable.
15
16 ## Examples
17
18 # With LLM configured
19 {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1)
20
21 # Force simulated mode
22 {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code,
23 phase: 1, use_llm: false)
24 """
25
26 use Jido.Action,
27 name: "code_review",
28 description: "Reviews Elixir code for quality, idioms, and best practices",
29 category: "education",
30 tags: ["code-review", "elixir", "education", "llm"],
31 schema: [
32 code: [type: :string, required: true, doc: "The Elixir code to review"],
33 phase: [type: :integer, default: 1, doc: "Learning phase (1-15)"],
34 focus: [
35 type: {:in, [:quality, :performance, :idioms, :all]},
36 default: :all,
37 doc: "Review focus area"
38 ],
39 use_llm: [type: :boolean, default: true, doc: "Use LLM if available"]
40 ]
41
42 alias LabsJidoAgent.{LLM, Schemas}
43
44 @impl true
45 def run(params, _context) do
4612 code = params.code
4712 phase = params.phase
4812 focus = params.focus
4912 use_llm = params.use_llm
50
5112 if use_llm and LLM.available?() do
524 llm_review(code, phase, focus)
53 else
548 simulated_review(code, phase, focus)
55 end
56 end
57
58 # LLM-powered review
59 defp llm_review(code, phase, focus) do
604 prompt = build_review_prompt(code, phase, focus)
61
624 case LLM.chat_structured(prompt,
63 response_model: Schemas.CodeReviewResponse,
64 model: :smart,
65 temperature: 0.3
66 ) do
67 {:ok, %Schemas.CodeReviewResponse{} = review} ->
68 # Convert Ecto schema to plain map (issues are already maps now)
69
:-(
feedback = %{
70
:-(
score: review.score,
71
:-(
issues: review.issues || [],
72
:-(
suggestions: format_suggestions(review.suggestions, review.issues),
73 aspects_reviewed: get_review_aspects(phase, focus),
74 phase: phase,
75 llm_powered: true
76 }
77
78 {:ok, feedback}
79
80 {:error, reason} ->
81 # Fall back to simulated on LLM error
824 IO.warn("LLM review failed: #{inspect(reason)}, falling back to simulated")
834 simulated_review(code, phase, focus)
84 end
85 end
86
87 defp build_review_prompt(code, phase, focus) do
884 aspects = get_review_aspects(phase, focus)
894 aspects_text = Enum.join(aspects, ", ")
90
914 """
92 You are an expert Elixir code reviewer for educational purposes.
93
944 Review the following Elixir code for a student in Phase #{phase} of learning.
95
964 Focus areas: #{aspects_text}
97
98 Code to review:
99 ```elixir
1004 #{code}
101 ```
102
103 Provide:
104 1. A score (0-100) based on code quality
105 2. A brief summary of overall quality
106 3. Specific issues found (type, severity, line number if identifiable, message, suggestion)
107 4. General suggestions for improvement
108 5. Learning resources relevant to the issues
109
110 Be constructive and educational. Prioritize teaching over criticism.
1114 For Phase #{phase}, focus on concepts appropriate for that level.
112 """
113 end
114
115 defp format_suggestions(general_suggestions, issues) do
116
:-(
issue_suggestions =
117
:-(
Enum.map(issues || [], fn issue ->
118 # Handle both map (from LLM) and struct (not used anymore) formats
119
:-(
type = if is_map(issue), do: Map.get(issue, "type") || Map.get(issue, :type), else: issue.type
120
:-(
message = if is_map(issue), do: Map.get(issue, "message") || Map.get(issue, :message), else: issue.message
121
:-(
suggestion = if is_map(issue), do: Map.get(issue, "suggestion") || Map.get(issue, :suggestion), else: issue.suggestion
122
123
:-(
%{
124 original_issue: message,
125 suggestion: suggestion,
126 resources: get_resources_for_type(type)
127 }
128 end)
129
130 # Add general suggestions
131
:-(
general =
132
:-(
Enum.map(general_suggestions || [], fn sug ->
133
:-(
%{
134 original_issue: "General improvement",
135 suggestion: sug,
136 resources: []
137 }
138 end)
139
140
:-(
issue_suggestions ++ general
141 end
142
143 # Simulated review (fallback when no LLM)
144 defp simulated_review(code, phase, focus) do
14512 review_aspects = get_review_aspects(phase, focus)
14612 issues = analyze_code_structure(code, review_aspects)
14712 suggestions = generate_suggestions(issues, phase)
14812 score = calculate_score(issues)
149
15012 feedback = %{
151 score: score,
152 issues: issues,
153 suggestions: suggestions,
154 aspects_reviewed: review_aspects,
155 phase: phase,
156 llm_powered: false
157 }
158
159 {:ok, feedback}
160 end
161
162 # Review aspects based on phase
163 defp get_review_aspects(phase, focus) when focus == :all do
16413 base_aspects = [:pattern_matching, :function_heads, :documentation]
165
16613 phase_aspects =
167 case phase do
16811 1 -> [:recursion, :tail_optimization, :enum_vs_stream]
169
:-(
2 -> [:process_design, :message_passing]
170
:-(
3 -> [:genserver_patterns, :supervision]
171
:-(
4 -> [:naming, :registry_usage]
1721 5 -> [:ecto_schemas, :changesets, :transactions]
1731 _ -> []
174 end
175
17613 base_aspects ++ phase_aspects
177 end
178
1793 defp get_review_aspects(_phase, focus), do: [focus]
180
181 # Simulated code analysis
182 defp analyze_code_structure(code, aspects) do
18312 issues = []
184
185 # Check for non-tail recursion
18612 issues =
18712 if :recursion in aspects and String.contains?(code, "+ sum(") do
188 [
189 %{
190 type: :performance,
191 severity: :medium,
192 line: find_line(code, "+ sum("),
193 message: "Non-tail-recursive function detected",
194 suggestion: "Consider using an accumulator for tail-call optimization"
195 }
196 | issues
197 ]
198 else
19911 issues
200 end
201
202 # Check for missing documentation
20312 issues =
20412 if :documentation in aspects and not String.contains?(code, "@doc") do
205 [
206 %{
207 type: :quality,
208 severity: :low,
209 line: 1,
210 message: "Missing module or function documentation",
211 suggestion: "Add @moduledoc and @doc attributes"
212 }
213 | issues
214 ]
215 else
2164 issues
217 end
218
219 # Check pattern matching usage
22012 issues =
22112 if :pattern_matching in aspects and String.contains?(code, "if ") do
222 [
223 %{
224 type: :idioms,
225 severity: :low,
226 line: find_line(code, "if "),
227 message: "Consider using pattern matching instead of if/else",
228 suggestion: "Elixir idioms favor pattern matching in function heads"
229 }
230 | issues
231 ]
232 else
23312 issues
234 end
235
23612 issues
237 end
238
239 defp find_line(code, pattern) do
240 code
241 |> String.split("\n")
2423 |> Enum.find_index(&String.contains?(&1, pattern))
2431 |> case do
244
:-(
nil -> nil
2451 idx -> idx + 1
246 end
247 end
248
249 defp generate_suggestions(issues, _phase) do
25012 Enum.map(issues, fn issue ->
2519 %{
2529 original_issue: issue.message,
2539 suggestion: issue.suggestion,
2549 resources: get_resources_for_type(issue.type)
255 }
256 end)
257 end
258
2591 defp get_resources_for_type(:performance) do
260 [
261 "Elixir docs: Recursion and tail-call optimization",
262 "Livebook: phase-01-core/02-recursion.livemd"
263 ]
264 end
265
2668 defp get_resources_for_type(:quality) do
267 [
268 "Elixir docs: Writing documentation",
269 "ExDoc documentation"
270 ]
271 end
272
273
:-(
defp get_resources_for_type(:idioms) do
274 [
275 "Elixir Style Guide",
276 "Livebook: phase-01-core/01-pattern-matching.livemd"
277 ]
278 end
279
280
:-(
defp get_resources_for_type(_), do: []
281
282 defp calculate_score(issues) do
28312 base_score = 100
284
28512 deductions =
286 Enum.reduce(issues, 0, fn issue, acc ->
2879 case issue.severity do
288
:-(
:critical -> acc + 20
289
:-(
:high -> acc + 10
2901 :medium -> acc + 5
2918 :low -> acc + 2
292 end
293 end)
294
29512 max(0, base_score - deductions)
296 end
297
298 ## Public Helper API
299
300 @doc """
301 Reviews code and provides feedback (convenience wrapper).
302
303 ## Options
304 * `:phase` - Learning phase (1-15), default: 1
305 * `:focus` - Review focus (`:quality`, `:performance`, `:idioms`, `:all`), default: `:all`
306 * `:use_llm` - Use LLM if available, default: true
307
308 ## Examples
309
310 code = "defmodule Example do\\n def hello, do: :world\\nend"
311 {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1)
312 {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1, use_llm: false)
313 """
314
:-(
def review(code, opts \\ []) do
315
:-(
params = %{
316 code: code,
317 phase: Keyword.get(opts, :phase, 1),
318 focus: Keyword.get(opts, :focus, :all),
319 use_llm: Keyword.get(opts, :use_llm, true)
320 }
321
322
:-(
run(params, %{})
323 end
324end
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1defmodule LabsJidoAgent.CodeReviewAgent do
2 @moduledoc """
3 An Agent that reviews Elixir code using the CodeReviewAction.
4
5 This demonstrates the Jido Agent + Action pattern for educational AI assistance.
6
7 ## Examples
8
9 # Create agent and review code
10 {:ok, agent} = LabsJidoAgent.CodeReviewAgent.new()
11 {:ok, agent} = LabsJidoAgent.CodeReviewAgent.set(agent,
12 code: code_string,
13 phase: 1,
14 focus: :all
15 )
16 {:ok, agent} = LabsJidoAgent.CodeReviewAgent.plan(agent, LabsJidoAgent.CodeReviewAction)
17 {:ok, agent} = LabsJidoAgent.CodeReviewAgent.run(agent)
18
19 feedback = agent.result
20 IO.inspect(feedback.issues)
21
22 # Or use the convenient helper
23 {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1)
24 """
25
26
:-(
use Jido.Agent,
27 name: "code_review_agent",
28 description: "Reviews Elixir code for quality, idioms, and best practices",
29 category: "education",
30 tags: ["code-review", "elixir"],
31 schema: [
32 code: [type: :string, doc: "The Elixir code to review"],
33 phase: [type: :integer, default: 1, doc: "Learning phase (1-15)"],
34 focus: [
35 type: {:in, [:quality, :performance, :idioms, :all]},
36 default: :all,
37 doc: "Review focus area"
38 ]
39 ],
40 actions: [LabsJidoAgent.CodeReviewAction]
41
42 @doc """
43 Convenience function to review code without manually managing agent lifecycle.
44
45 ## Options
46 * `:phase` - Learning phase (1-15), default: 1
47 * `:focus` - Review focus (`:quality`, `:performance`, `:idioms`, `:all`), default: `:all`
48
49 ## Examples
50
51 code = '''
52 defmodule MyList do
53 def sum([]), do: 0
54 def sum([h | t]), do: h + sum(t)
55 end
56 '''
57
58 {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1)
59 IO.inspect(feedback.issues)
60 """
61
:-(
def review(code, opts \\ []) do
624 phase = Keyword.get(opts, :phase, 1)
634 focus = Keyword.get(opts, :focus, :all)
644 use_llm = Keyword.get(opts, :use_llm, true)
65
66 # Build params and call action directly for convenience
674 params = %{code: code, phase: phase, focus: focus, use_llm: use_llm}
684 LabsJidoAgent.CodeReviewAction.run(params, %{})
69 end
70end
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1defmodule LabsJidoAgent.LLM do
2 @moduledoc """
3 Centralized LLM configuration and client for Jido agents.
4
5 Supports multiple providers: OpenAI, Anthropic, Google Gemini.
6
7 ## Configuration
8
9 Set via environment variables:
10
11 export LLM_PROVIDER=openai # or anthropic, gemini
12 export OPENAI_API_KEY=sk-...
13 export ANTHROPIC_API_KEY=sk-ant-...
14 export GEMINI_API_KEY=...
15
16 ## Usage
17
18 # Simple text completion
19 {:ok, response} = LabsJidoAgent.LLM.chat("Explain recursion", model: :fast)
20
21 # Structured output with validation
22 {:ok, result} = LabsJidoAgent.LLM.chat_structured(
23 "Review this code: ...",
24 response_model: CodeReviewResponse,
25 model: :smart
26 )
27 """
28
29 @doc """
30 Get the configured LLM provider.
31 Defaults to :openai if not set.
32 """
33 def provider do
34100 case System.get_env("LLM_PROVIDER", "openai") do
3511 "anthropic" -> :anthropic
368 "gemini" -> :gemini
3781 _ -> :openai
38 end
39 end
40
41 @doc """
42 Get the model name for the specified tier.
43
44 ## Tiers
45 - `:fast` - Quick, cheaper responses
46 - `:smart` - Better quality, more expensive
47 - `:balanced` - Middle ground
48 """
491 def model_name(tier \\ :balanced) do
5032 get_model_for_provider(provider(), tier)
51 end
52
531 defp get_model_for_provider(:openai, :fast), do: "gpt-5-nano"
5417 defp get_model_for_provider(:openai, :balanced), do: "gpt-5-mini"
555 defp get_model_for_provider(:openai, :smart), do: "gpt-5"
562 defp get_model_for_provider(:anthropic, :fast), do: "claude-haiku-4-5"
572 defp get_model_for_provider(:anthropic, :balanced), do: "claude-sonnet-4-5"
581 defp get_model_for_provider(:anthropic, :smart), do: "claude-opus-4-1"
591 defp get_model_for_provider(:gemini, :fast), do: "gemini-2.5-flash"
602 defp get_model_for_provider(:gemini, :balanced), do: "gemini-2.5-flash"
611 defp get_model_for_provider(:gemini, :smart), do: "gemini-2.5-pro"
62
63 @doc """
64 Simple chat completion returning text response.
65
66 ## Options
67 - `:model` - Model tier (`:fast`, `:balanced`, `:smart`)
68 - `:temperature` - Creativity (0.0-2.0, default 0.7)
69 - `:max_tokens` - Max response length
70 """
712 def chat(prompt, opts \\ []) do
723 model = Keyword.get(opts, :model, :balanced)
733 temperature = Keyword.get(opts, :temperature, 0.7)
743 max_tokens = Keyword.get(opts, :max_tokens, 2000)
75
763 params = %{
77 model: model_name(model),
78 temperature: temperature,
79 max_tokens: max_tokens,
80 messages: [
81 %{role: "user", content: prompt}
82 ]
83 }
84
853 case call_llm(params) do
86
:-(
{:ok, response} -> {:ok, extract_text(response)}
873 error -> error
88 end
89 end
90
91 @doc """
92 Structured chat completion with validation via Instructor.
93
94 ## Options
95 - `:response_model` - Ecto schema or map of types for validation
96 - `:model` - Model tier (`:fast`, `:balanced`, `:smart`)
97 - `:temperature` - Creativity (0.0-2.0)
98 - `:max_retries` - Retry count for validation failures (default 2)
99 """
100 def chat_structured(prompt, opts) do
10120 response_model = Keyword.fetch!(opts, :response_model)
10219 model = Keyword.get(opts, :model, :balanced)
10319 temperature = Keyword.get(opts, :temperature, 0.7)
10419 max_retries = Keyword.get(opts, :max_retries, 2)
105
106 # Get API key based on provider
10719 api_key = case provider() do
10817 :openai -> System.get_env("OPENAI_API_KEY")
1091 :anthropic -> System.get_env("ANTHROPIC_API_KEY")
1101 :gemini -> System.get_env("GEMINI_API_KEY")
111 end
112
11319 params = [
114 model: model_name(model),
115 temperature: temperature,
116 response_model: response_model,
117 max_retries: max_retries,
118 messages: [
119 %{role: "user", content: prompt}
120 ]
121 ]
122
123 # Config with API key and options is passed as second argument
124 # API URL depends on provider
12519 api_url = case provider() do
12617 :openai -> "https://api.openai.com"
1271 :anthropic -> "https://api.anthropic.com"
1281 :gemini -> "https://generativelanguage.googleapis.com"
129 end
130
13119 config = [
132 api_key: api_key,
133 api_url: api_url,
134 http_options: [receive_timeout: 60_000]
135 ]
136
13719 Instructor.chat_completion(params, config)
138 end
139
140 @doc """
141 Check if LLM is configured and available.
142 """
143 def available? do
14423 case provider() do
14520 :openai -> System.get_env("OPENAI_API_KEY") != nil
1462 :anthropic -> System.get_env("ANTHROPIC_API_KEY") != nil
1471 :gemini -> System.get_env("GEMINI_API_KEY") != nil
148 end
149 end
150
151 # Private functions
152
153 defp call_llm(params) do
1543 if available?() do
155 # Use Instructor for all calls (it handles provider differences)
156
:-(
Instructor.chat_completion(params)
157 else
1583 {:error, "LLM not configured. Set #{provider_env_var()} environment variable."}
159 end
160 end
161
162
:-(
defp extract_text(%{choices: [%{message: %{content: content}} | _]}), do: content
163
:-(
defp extract_text(response) when is_binary(response), do: response
164
:-(
defp extract_text(_), do: ""
165
166 defp provider_env_var do
1673 case provider() do
1682 :openai -> "OPENAI_API_KEY"
1691 :anthropic -> "ANTHROPIC_API_KEY"
170
:-(
:gemini -> "GEMINI_API_KEY"
171 end
172 end
173end
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1defmodule LabsJidoAgent.ProgressCoachAction do
2 @moduledoc """
3 A Jido Action that analyzes learning progress and provides personalized recommendations.
4
5 This action:
6 - Reads `.progress.json` to analyze completion
7 - Identifies strengths and challenges
8 - Suggests next phases
9 - Estimates time to completion
10
11 ## Examples
12
13 params = %{student_id: "student_123", progress_data: %{}}
14 {:ok, advice} = LabsJidoAgent.ProgressCoachAction.run(params, %{})
15 """
16
17 use Jido.Action,
18 name: "progress_coach",
19 description: "Analyzes learning progress and provides personalized guidance",
20 category: "education",
21 tags: ["progress", "coaching", "analytics", "llm"],
22 schema: [
23 student_id: [type: :string, required: true, doc: "Student identifier"],
24 progress_data: [type: :map, default: %{}, doc: "Progress JSON data (optional)"],
25 use_llm: [type: :boolean, default: true, doc: "Use LLM if available"]
26 ]
27
28 alias LabsJidoAgent.{LLM, Schemas}
29
30 @impl true
31 def run(params, _context) do
3210 student_id = params.student_id
3310 progress_data = params.progress_data
3410 use_llm = params.use_llm
35
36 # Load progress from file if not provided
3710 progress = if progress_data == %{}, do: load_progress(), else: progress_data
38
3910 if use_llm and LLM.available?() do
405 llm_coaching(student_id, progress)
41 else
425 simulated_coaching(student_id, progress)
43 end
44 end
45
46 # LLM-powered coaching
47 defp llm_coaching(student_id, progress) do
48 # Analyze for context
495 analysis = analyze_student_progress(progress)
505 prompt = build_coaching_prompt(student_id, analysis)
51
525 case LLM.chat_structured(prompt,
53 response_model: Schemas.ProgressAnalysis,
54 model: :balanced,
55 temperature: 0.6
56 ) do
57 {:ok, %Schemas.ProgressAnalysis{} = coach_response} ->
58
:-(
result = %{
59 student_id: student_id,
60 recommendations:
61
:-(
Enum.map(coach_response.recommendations, &recommendation_to_map/1),
62 next_phase: suggest_next_phase(analysis),
63 review_areas: identify_review_areas(analysis),
64
:-(
strengths: coach_response.strengths || analysis.strengths,
65
:-(
challenges: coach_response.challenges || [],
66 estimated_time_to_next: estimate_time_to_completion(analysis, suggest_next_phase(analysis)),
67 llm_powered: true
68 }
69
70 {:ok, result}
71
72 {:error, reason} ->
735 IO.warn("LLM coaching failed: #{inspect(reason)}, falling back to simulated")
745 simulated_coaching(student_id, progress)
75 end
76 end
77
78 defp build_coaching_prompt(student_id, analysis) do
795 completion = round(analysis.overall_completion)
80
815 phase_summary =
825 analysis.phase_stats
83 |> Enum.take(5)
84 |> Enum.map_join("\n", fn stat ->
8525 "- #{stat.phase}: #{round(stat.percentage)}% complete (#{stat.completed}/#{stat.total})"
86 end)
87
885 """
89 You are an encouraging programming coach analyzing a student's progress.
90
915 Student ID: #{student_id}
925 Overall completion: #{completion}%
93
94 Progress by phase:
955 #{phase_summary}
96
97 Provide personalized coaching:
98 1. Specific recommendations (with priority and actionable steps)
99 2. Strengths to celebrate
100 3. Challenges to address
101 4. Next phase suggestion with reasoning
102
103 Be encouraging, specific, and actionable. Focus on growth mindset and achievable goals.
104 """
105 end
106
107 defp recommendation_to_map(rec) when is_map(rec) do
108 # Handle both map (from LLM) and struct formats
109
:-(
%{
110
:-(
priority: Map.get(rec, "priority") || Map.get(rec, :priority),
111
:-(
type: Map.get(rec, "type") || Map.get(rec, :type),
112
:-(
message: Map.get(rec, "message") || Map.get(rec, :message),
113
:-(
action: Map.get(rec, "action") || Map.get(rec, :action)
114 }
115 end
116
117 # Simulated coaching (fallback)
118 defp simulated_coaching(student_id, progress) do
119 # Analyze current state
12010 analysis = analyze_student_progress(progress)
121
122 # Generate personalized recommendations
12310 recommendations = generate_recommendations(analysis)
124
125 # Determine next best phase
12610 next_phase = suggest_next_phase(analysis)
127
128 # Identify areas needing review
12910 review_areas = identify_review_areas(analysis)
130
13110 result = %{
132 student_id: student_id,
133 recommendations: recommendations,
134 next_phase: next_phase,
135 review_areas: review_areas,
13610 strengths: analysis.strengths,
13710 challenges: analysis.challenges,
138 estimated_time_to_next: estimate_time_to_completion(analysis, next_phase),
139 llm_powered: false
140 }
141
142 {:ok, result}
143 end
144
145 # Private functions
146
147 defp load_progress do
1483 progress_file = "livebooks/.progress.json"
149
1503 case File.read(progress_file) do
151
:-(
{:ok, content} -> Jason.decode!(content)
1523 {:error, _} -> %{}
153 end
154 end
155
156 defp analyze_student_progress(progress) do
15715 phases = get_all_phases()
158
15915 phase_stats =
160 Enum.map(phases, fn phase ->
161225 phase_data = Map.get(progress, phase, %{})
162225 checkpoints = Map.keys(phase_data)
163225 completed = Enum.count(checkpoints, fn cp -> Map.get(phase_data, cp) == true end)
164225 total = get_checkpoint_count(phase)
165
166225 %{
167 phase: phase,
168 completed: completed,
169 total: total,
170225 percentage: if(total > 0, do: completed / total * 100, else: 0),
171 status: determine_phase_status(completed, total)
172 }
173 end)
174
17515 current_phase = find_current_phase(phase_stats)
17615 strengths = identify_strengths(phase_stats)
17715 challenges = identify_challenges(phase_stats)
178
17915 %{
180 current_phase: current_phase,
181 phase_stats: phase_stats,
182 overall_completion: calculate_overall_completion(phase_stats),
183 strengths: strengths,
184 challenges: challenges
185 }
186 end
187
18817 defp get_all_phases do
189 [
190 "phase-01-core",
191 "phase-02-processes",
192 "phase-03-genserver",
193 "phase-04-naming",
194 "phase-05-data",
195 "phase-06-phoenix",
196 "phase-07-jobs",
197 "phase-08-caching",
198 "phase-09-distribution",
199 "phase-10-observability",
200 "phase-11-testing",
201 "phase-12-delivery",
202 "phase-13-capstone",
203 "phase-14-cto",
204 "phase-15-ai"
205 ]
206 end
207
20815 defp get_checkpoint_count("phase-01-core"), do: 7
209210 defp get_checkpoint_count(_), do: 5
210
211 defp determine_phase_status(completed, total) do
212225 percentage = if total > 0, do: completed / total * 100, else: 0
213
214225 cond do
215219 percentage == 0 -> :not_started
2166 percentage == 100 -> :completed
2174 percentage >= 50 -> :in_progress_strong
2182 true -> :in_progress
219 end
220 end
221
222 defp find_current_phase(phase_stats) do
223 phase_stats
224 |> Enum.find(fn stat ->
225169 stat.status in [:in_progress, :in_progress_strong]
226 end)
22715 |> case do
228 nil ->
229 # Find first incomplete phase
23011 Enum.find(phase_stats, fn stat -> stat.status == :not_started end)
231
232 phase ->
2334 phase
234 end
235 end
236
237 defp calculate_overall_completion(phase_stats) do
23815 total_checkpoints = Enum.sum(Enum.map(phase_stats, & &1.total))
23915 completed_checkpoints = Enum.sum(Enum.map(phase_stats, & &1.completed))
240
24115 if total_checkpoints > 0 do
24215 completed_checkpoints / total_checkpoints * 100
243 else
244 0
245 end
246 end
247
248 defp identify_strengths(phase_stats) do
249 phase_stats
250225 |> Enum.filter(fn stat -> stat.percentage == 100 end)
25115 |> Enum.map(fn stat -> phase_to_concept(stat.phase) end)
252 end
253
254 defp identify_challenges(phase_stats) do
255 phase_stats
256 |> Enum.filter(fn stat ->
257225 stat.status == :in_progress and stat.percentage < 50 and stat.percentage > 0
258 end)
25915 |> Enum.map(fn stat -> %{phase: stat.phase, completion: stat.percentage} end)
260 end
261
2622 defp phase_to_concept("phase-01-core"), do: "Elixir fundamentals"
263
:-(
defp phase_to_concept("phase-02-processes"), do: "Process management"
264
:-(
defp phase_to_concept("phase-03-genserver"), do: "GenServer & supervision"
265
:-(
defp phase_to_concept(phase), do: phase
266
267 defp generate_recommendations(analysis) do
26810 recommendations = []
269
270 # Recommend next phase if current is nearly complete
27110 recommendations =
27210 if analysis.current_phase && analysis.current_phase.percentage >= 80 do
273 [
274 %{
275 priority: :high,
276 type: :progress,
277 message:
2781 "You're doing great on #{analysis.current_phase.phase}! Consider moving to the next phase soon.",
279 action: "Review remaining checkpoints and advance"
280 }
281 | recommendations
282 ]
283 else
2849 recommendations
285 end
286
287 # Add encouragement for strengths
28810 recommendations =
28910 if length(analysis.strengths) > 0 do
290 [
291 %{
292 priority: :low,
293 type: :encouragement,
2941 message: "Great work mastering: #{Enum.join(analysis.strengths, ", ")}!",
295 action: "Keep up the momentum"
296 }
297 | recommendations
298 ]
299 else
3009 recommendations
301 end
302
303 # Default recommendation if empty
30410 if recommendations == [] do
305 [
306 %{
307 priority: :medium,
308 type: :start,
309 message: "Ready to start your Elixir journey?",
310 action: "Begin with Phase 1: Elixir Core"
311 }
312 ]
313 else
3142 recommendations
315 end
316 end
317
318 defp suggest_next_phase(analysis) do
31910 cond do
32010 is_nil(analysis.current_phase) ->
321
:-(
%{
322 phase: "phase-01-core",
323 reason: "Start here for Elixir fundamentals",
324 prerequisite_met: true
325 }
326
32710 analysis.current_phase.percentage >= 80 ->
3281 current_index =
3291 Enum.find_index(get_all_phases(), fn p -> p == analysis.current_phase.phase end)
330
3311 next_phase = Enum.at(get_all_phases(), current_index + 1)
332
3331 %{
334 phase: next_phase,
3351 reason: "You've completed #{round(analysis.current_phase.percentage)}% of #{analysis.current_phase.phase}",
336 prerequisite_met: true
337 }
338
3399 true ->
3409 %{
3419 phase: analysis.current_phase.phase,
342 reason: "Complete remaining checkpoints first",
343 prerequisite_met: false
344 }
345 end
346 end
347
348 defp identify_review_areas(analysis) do
34910 Enum.map(analysis.challenges, fn challenge ->
3501 %{
3511 phase: challenge.phase,
3521 completion: challenge.completion,
353 suggested_action: "Review checkpoints and complete exercises",
3541 resources: ["Livebook: #{challenge.phase}", "Study guide"]
355 }
356 end)
357 end
358
359 defp estimate_time_to_completion(_analysis, next_phase) do
36010 days = get_estimated_days(next_phase.phase)
361
36210 %{
363 estimate_days: days,
364 estimate_hours: days * 6,
365 confidence: :medium
366 }
367 end
368
3698 defp get_estimated_days("phase-01-core"), do: 7
3702 defp get_estimated_days(_), do: 7
371
372 ## Public Helper API
373
374 @doc """
375 Analyzes student progress and provides coaching recommendations (convenience wrapper).
376
377 ## Examples
378
379 {:ok, advice} = LabsJidoAgent.ProgressCoachAction.analyze_progress("student_123")
380 IO.inspect(advice.recommendations)
381 """
382
:-(
def analyze_progress(student_id, progress_data \\ %{}, opts \\ []) do
383
:-(
params = %{
384 student_id: student_id,
385 progress_data: progress_data,
386 use_llm: Keyword.get(opts, :use_llm, true)
387 }
388
389
:-(
run(params, %{})
390 end
391end
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1defmodule LabsJidoAgent.ProgressCoachAgent do
2 @moduledoc """
3 An Agent that monitors student progress and provides personalized recommendations.
4
5 Features:
6 - Reads `.progress.json` automatically
7 - Identifies strengths and challenges
8 - Suggests next phases
9 - Recommends review areas
10 - Estimates time to completion
11
12 ## Examples
13
14 {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123")
15 IO.inspect(advice.recommendations)
16 IO.inspect(advice.next_phase)
17 """
18
19
:-(
use Jido.Agent,
20 name: "progress_coach_agent",
21 description: "Analyzes learning progress and provides personalized guidance",
22 category: "education",
23 tags: ["progress", "analytics"],
24 schema: [
25 student_id: [type: :string, doc: "Student identifier"],
26 progress_data: [type: :map, default: %{}, doc: "Progress JSON data"]
27 ],
28 actions: [LabsJidoAgent.ProgressCoachAction]
29
30 @doc """
31 Analyzes student progress and provides coaching recommendations (convenience wrapper).
32
33 ## Examples
34
35 {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123")
36 IO.inspect(advice.recommendations)
37 IO.inspect(advice.next_phase)
38 """
395 def analyze_progress(student_id, progress_data \\ %{}, opts \\ []) do
405 use_llm = Keyword.get(opts, :use_llm, true)
41
42 # Build params and call action directly for convenience
435 params = %{student_id: student_id, progress_data: progress_data, use_llm: use_llm}
445 LabsJidoAgent.ProgressCoachAction.run(params, %{})
45 end
46end
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+ + diff --git a/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Schemas.CodeIssue.html b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Schemas.CodeIssue.html new file mode 100644 index 0000000..a4d4c99 --- /dev/null +++ b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.Schemas.CodeIssue.html @@ -0,0 +1,689 @@ + + + + +cover/Elixir.LabsJidoAgent.Schemas.CodeIssue.html + + + +

cover/Elixir.LabsJidoAgent.Schemas.CodeIssue.html

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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
154 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
262 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
36 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
48 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
58 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
68 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
78 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
91 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
101 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
111 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
15 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
26 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
3646 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
483 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
58 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
68 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
78 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
91 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
101 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
111 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
15 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
26 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
36 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
48 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
58 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
68 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
78 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
91 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
10149 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
1112 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
15 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
26 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
36 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
48 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
58 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
68 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
784 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
912 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
101 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
111 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
15 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
26 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
36 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
48 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
5867 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
682 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
78 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
91 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
101 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
111 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.Schemas do
2 @moduledoc """
3 Ecto schemas for structured LLM responses.
4
5 These schemas define the expected structure of LLM outputs,
6 enabling validation and type safety via Instructor.
7 """
8
9 defmodule CodeIssue do
10 @moduledoc "Represents a code quality issue"
11 use Ecto.Schema
12 import Ecto.Changeset
13
14 @primary_key false
15 embedded_schema do
16 field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security])
17 field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low])
18 field(:line, :integer)
19 field(:message, :string)
20 field(:suggestion, :string)
21 end
22
23 def changeset(issue, attrs) do
24 issue
25 |> cast(attrs, [:type, :severity, :line, :message, :suggestion])
26 |> validate_required([:type, :severity, :message, :suggestion])
27 end
28 end
29
30 defmodule CodeReviewResponse do
31 @moduledoc "Structured code review response from LLM"
32 use Ecto.Schema
33 import Ecto.Changeset
34
35 @primary_key false
36 embedded_schema do
37 field(:score, :integer)
38 field(:summary, :string)
39 field(:issues, {:array, :map})
40 field(:suggestions, {:array, :string})
41 field(:resources, {:array, :string})
42 end
43
44 def changeset(review, attrs) do
45 review
46 |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources])
47 |> validate_required([:score, :summary])
48 |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100)
49 end
50 end
51
52 defmodule StudyResponse do
53 @moduledoc "Structured study/Q&A response from LLM"
54 use Ecto.Schema
55 import Ecto.Changeset
56
57 @primary_key false
58 embedded_schema do
59 field(:answer, :string)
60 field(:concepts, {:array, :string})
61 field(:resources, {:array, :string})
62 field(:follow_ups, {:array, :string})
63 end
64
65 def changeset(response, attrs) do
66 response
67 |> cast(attrs, [:answer, :concepts, :resources, :follow_ups])
68 |> validate_required([:answer])
69 end
70 end
71
72 defmodule ProgressRecommendation do
73 @moduledoc "A single progress recommendation"
74 use Ecto.Schema
75 import Ecto.Changeset
76
77 @primary_key false
78 embedded_schema do
79 field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low])
80 field(:type, Ecto.Enum,
81 values: [:progress, :review, :encouragement, :start, :challenge]
82 )
83
84 field(:message, :string)
85 field(:action, :string)
86 end
87
88 def changeset(rec, attrs) do
89 rec
90 |> cast(attrs, [:priority, :type, :message, :action])
91 |> validate_required([:priority, :type, :message, :action])
92 end
93 end
94
95 defmodule ProgressAnalysis do
96 @moduledoc "Structured progress coaching response from LLM"
97 use Ecto.Schema
98 import Ecto.Changeset
99
100 @primary_key false
101 embedded_schema do
102 field(:recommendations, {:array, :map})
103 field(:strengths, {:array, :string})
104 field(:challenges, {:array, :string})
105 field(:next_phase_suggestion, :string)
106 end
107
108 def changeset(analysis, attrs) do
109 analysis
110 |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion])
111 |> validate_required([:recommendations])
112 end
113 end
114end
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1defmodule LabsJidoAgent.StudyBuddyAction do
2 @moduledoc """
3 A Jido Action that answers questions about Elixir concepts.
4
5 This action provides three response modes:
6 - `:explain` - Direct explanations with theory and examples
7 - `:socratic` - Guides learning through questions
8 - `:example` - Provides runnable code examples
9
10 ## Examples
11
12 params = %{question: "What is tail recursion?", phase: 1, mode: :explain}
13 {:ok, response} = LabsJidoAgent.StudyBuddyAction.run(params, %{})
14 """
15
16 use Jido.Action,
17 name: "study_buddy",
18 description: "Answers questions about Elixir concepts and guides learning",
19 category: "education",
20 tags: ["qa", "elixir", "learning", "llm"],
21 schema: [
22 question: [type: :string, required: true, doc: "The student's question"],
23 phase: [type: :integer, default: 1, doc: "Current learning phase"],
24 mode: [
25 type: {:in, [:explain, :socratic, :example]},
26 default: :explain,
27 doc: "Response mode"
28 ],
29 use_llm: [type: :boolean, default: true, doc: "Use LLM if available"]
30 ]
31
32 alias LabsJidoAgent.{LLM, Schemas}
33
34 @impl true
35 def run(params, _context) do
3614 question = params.question
3714 phase = params.phase
3814 mode = params.mode
3914 use_llm = params.use_llm
40
4114 if use_llm and LLM.available?() do
427 llm_answer(question, phase, mode)
43 else
447 simulated_answer(question, phase, mode)
45 end
46 end
47
48 # LLM-powered Q&A
49 defp llm_answer(question, phase, mode) do
507 prompt = build_study_prompt(question, phase, mode)
51
527 case LLM.chat_structured(prompt,
53 response_model: Schemas.StudyResponse,
54 model: :balanced,
55 temperature: 0.7
56 ) do
57
:-(
{:ok, %Schemas.StudyResponse{} = response} ->
58 {:ok,
59 %{
60
:-(
answer: response.answer,
61
:-(
concepts: response.concepts || [],
62
:-(
resources: response.resources || [],
63
:-(
follow_ups: response.follow_ups || [],
64 llm_powered: true
65 }}
66
67 {:error, reason} ->
687 IO.warn("LLM answer failed: #{inspect(reason)}, falling back to simulated")
697 simulated_answer(question, phase, mode)
70 end
71 end
72
73 defp build_study_prompt(question, phase, mode) do
747 mode_instruction =
75 case mode do
765 :explain ->
77 "Provide a clear, direct explanation with examples."
78
791 :socratic ->
80 "Guide learning through thoughtful questions. Help the student discover the answer."
81
821 :example ->
83 "Provide working code examples with explanations."
84 end
85
867 """
877 You are a helpful Elixir programming tutor for a student in Phase #{phase} of learning.
88
897 Student's question: #{question}
90
917 Response mode: #{mode_instruction}
92
93 Provide:
94 1. A helpful answer appropriate for their learning phase
95 2. Key concepts involved (as a list)
96 3. Relevant learning resources
97 4. Follow-up questions or topics to explore next
98
997 Be encouraging and educational. Keep explanations clear and appropriate for Phase #{phase}.
100 """
101 end
102
103 # Simulated Q&A (fallback)
104 defp simulated_answer(question, phase, mode) do
105 # Determine what concepts are involved
10614 concepts = extract_concepts(question)
107
108 # Find relevant resources
10914 resources = find_resources(concepts, phase)
110
111 # Generate response based on mode
11214 answer =
113 case mode do
11410 :explain -> generate_explanation(concepts, question)
1152 :socratic -> generate_socratic_questions(concepts, question)
1162 :example -> generate_examples(concepts, question)
117 end
118
11914 response = %{
120 answer: answer,
121 concepts: concepts,
122 resources: resources,
123 follow_ups: generate_follow_ups(concepts, phase),
124 llm_powered: false
125 }
126
127 {:ok, response}
128 end
129
130 # Private functions
131
132 defp extract_concepts(question) do
13314 question_lower = String.downcase(question)
13414 concepts = []
135
13614 concepts =
1375 if String.contains?(question_lower, ["recursion", "recursive"]) do
138 [:recursion | concepts]
139 else
1409 concepts
141 end
142
14314 concepts =
1443 if String.contains?(question_lower, ["tail", "tail-call", "tco"]) do
145 [:tail_call_optimization | concepts]
146 else
14711 concepts
148 end
149
15014 concepts =
1514 if String.contains?(question_lower, ["pattern", "match"]) do
152 [:pattern_matching | concepts]
153 else
15410 concepts
155 end
156
15714 concepts =
1582 if String.contains?(question_lower, ["genserver", "gen_server"]) do
159 [:genserver | concepts]
160 else
16112 concepts
162 end
163
16414 concepts =
1651 if String.contains?(question_lower, ["process", "spawn"]) do
166 [:processes | concepts]
167 else
16813 concepts
169 end
170
17114 if concepts == [], do: [:general], else: concepts
172 end
173
174 defp find_resources(concepts, phase) do
175 Enum.flat_map(concepts, fn concept ->
17617 get_resources_for_concept(concept, phase)
177 end)
17814 |> Enum.uniq()
179 end
180
1815 defp get_resources_for_concept(:recursion, _phase) do
182 [
183 "Livebook: phase-01-core/02-recursion.livemd",
184 "Official Elixir Guide: Recursion"
185 ]
186 end
187
1884 defp get_resources_for_concept(:pattern_matching, _phase) do
189 [
190 "Livebook: phase-01-core/01-pattern-matching.livemd",
191 "Official Elixir Guide: Pattern Matching"
192 ]
193 end
194
1951 defp get_resources_for_concept(:genserver, phase) when phase >= 3 do
196 [
197 "Livebook: phase-03-genserver/01-genserver-basics.livemd",
198 "Official Elixir docs: GenServer"
199 ]
200 end
201
2021 defp get_resources_for_concept(:genserver, _phase) do
203 ["GenServer is covered in Phase 3"]
204 end
205
2066 defp get_resources_for_concept(_, _), do: []
207
208 defp generate_explanation(concepts, _question) do
20914 case List.first(concepts) do
2102 :recursion ->
211 """
212 **Recursion in Elixir**
213
214 Recursion is when a function calls itself. In Elixir, it's fundamental for processing lists.
215
216 **Key Concepts:**
217 1. **Base case** - Stops recursion
218 2. **Recursive case** - Calls itself with modified arguments
219
220 **Example:**
221 ```elixir
222 def sum([]), do: 0
223 def sum([h | t]), do: h + sum(t)
224 ```
225
226 **Important**: For large lists, use tail-call optimization with an accumulator.
227 """
228
2293 :tail_call_optimization ->
230 """
231 **Tail-Call Optimization (TCO)**
232
233 A tail-recursive function has the recursive call as the LAST operation.
234
235 **Non-tail-recursive** (builds up stack):
236 ```elixir
237 def sum([]), do: 0
238 def sum([h | t]), do: h + sum(t) # Addition happens AFTER
239 ```
240
241 **Tail-recursive** (constant stack):
242 ```elixir
243 def sum(list), do: sum(list, 0)
244 defp sum([], acc), do: acc
245 defp sum([h | t], acc), do: sum(t, acc + h) # Call is LAST
246 ```
247 """
248
2494 :pattern_matching ->
250 """
251 **Pattern Matching**
252
253 The `=` operator matches left to right in Elixir.
254
255 **Examples:**
256 - `{:ok, value} = {:ok, 42}`
257 - `[head | tail] = [1, 2, 3]`
258 - `%{name: n} = %{name: "Alice", age: 30}`
259
260 Pattern matching in functions:
261 ```elixir
262 def greet({:ok, name}), do: "Hello, \#{name}!"
263 def greet({:error, _}), do: "Error!"
264 ```
265 """
266
2675 _ ->
268 """
269 I can help you learn about Elixir! Try asking about:
270 - Pattern matching
271 - Recursion and tail-call optimization
272 - Processes and message passing
273 - GenServer and OTP
274 """
275 end
276 end
277
278 defp generate_socratic_questions(concepts, question) do
2792 case List.first(concepts) do
280
:-(
:recursion ->
281 """
282 Let's explore recursion together:
283
284 1. What happens to the call stack when you call a function recursively?
285 2. In `def sum([h | t]), do: h + sum(t)`, what operation happens AFTER the recursive call?
286 3. How could you modify this so the recursive call is the last operation?
287 4. What role does an accumulator play in tail recursion?
288
289 Think about these, then check the resources below.
290 """
291
292 _ ->
2932 generate_explanation(concepts, question)
294 end
295 end
296
297 defp generate_examples(concepts, question) do
2982 case List.first(concepts) do
299
:-(
:recursion ->
300 """
301 **Recursion Examples**
302
303 **List Length:**
304 ```elixir
305 # Tail-recursive
306 def length(list), do: length(list, 0)
307 defp length([], acc), do: acc
308 defp length([_ | t], acc), do: length(t, acc + 1)
309 ```
310
311 **Map Implementation:**
312 ```elixir
313 def map(list, func), do: map(list, func, [])
314
315 defp map([], _func, acc), do: Enum.reverse(acc)
316 defp map([h | t], func, acc), do: map(t, func, [func.(h) | acc])
317 ```
318 """
319
320 _ ->
3212 generate_explanation(concepts, question)
322 end
323 end
324
325 defp generate_follow_ups(concepts, _phase) do
32614 base_suggestions = [
327 "Try the interactive exercises in Livebook"
328 ]
329
33014 concept_suggestions =
331 Enum.flat_map(concepts, fn concept ->
33217 case concept do
3335 :recursion -> ["Next: Learn about Enum vs Stream"]
3344 :pattern_matching -> ["Next: Learn about guards"]
3358 _ -> []
336 end
337 end)
338
33914 base_suggestions ++ concept_suggestions
340 end
341
342 ## Public Helper API
343
344 @doc """
345 Ask a question (convenience wrapper).
346
347 ## Examples
348
349 {:ok, response} = LabsJidoAgent.StudyBuddyAction.ask("What is recursion?")
350 {:ok, response} = LabsJidoAgent.StudyBuddyAction.ask("How do I use GenServer?",
351 phase: 3, mode: :example)
352 """
353
:-(
def ask(question, opts \\ []) do
354
:-(
params = %{
355 question: question,
356 phase: Keyword.get(opts, :phase, 1),
357 mode: Keyword.get(opts, :mode, :explain),
358 use_llm: Keyword.get(opts, :use_llm, true)
359 }
360
361
:-(
run(params, %{})
362 end
363end
LineHitsSource
+ + diff --git a/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.StudyBuddyAgent.html b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.StudyBuddyAgent.html new file mode 100644 index 0000000..507b1b8 --- /dev/null +++ b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.StudyBuddyAgent.html @@ -0,0 +1,404 @@ + + + + +cover/Elixir.LabsJidoAgent.StudyBuddyAgent.html + + + +

cover/Elixir.LabsJidoAgent.StudyBuddyAgent.html

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
1defmodule LabsJidoAgent.StudyBuddyAgent do
2 @moduledoc """
3 An Agent that answers questions about Elixir concepts using StudyBuddyAction.
4
5 Provides three response modes:
6 - `:explain` - Direct explanations
7 - `:socratic` - Guided learning through questions
8 - `:example` - Code examples
9
10 ## Examples
11
12 {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?")
13 IO.puts(response.answer)
14
15 {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("How do I use GenServer?",
16 phase: 3, mode: :example)
17 """
18
19
:-(
use Jido.Agent,
20 name: "study_buddy_agent",
21 description: "Answers questions about Elixir concepts and guides learning",
22 category: "education",
23 tags: ["qa", "learning"],
24 schema: [
25 question: [type: :string, doc: "The student's question"],
26 phase: [type: :integer, default: 1, doc: "Current learning phase"],
27 mode: [
28 type: {:in, [:explain, :socratic, :example]},
29 default: :explain,
30 doc: "Response mode"
31 ]
32 ],
33 actions: [LabsJidoAgent.StudyBuddyAction]
34
35 @doc """
36 Ask a question and get an explanation (convenience wrapper).
37
38 ## Options
39 * `:phase` - Current learning phase (1-15)
40 * `:mode` - Response mode (`:explain`, `:socratic`, `:example`)
41
42 ## Examples
43
44 {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("What is recursion?")
45 {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("How do I use GenServer?",
46 phase: 3, mode: :example)
47 """
484 def ask(question, opts \\ []) do
497 phase = Keyword.get(opts, :phase, 1)
507 mode = Keyword.get(opts, :mode, :explain)
517 use_llm = Keyword.get(opts, :use_llm, true)
52
53 # Build params and call action directly for convenience
547 params = %{question: question, phase: phase, mode: mode, use_llm: use_llm}
557 LabsJidoAgent.StudyBuddyAction.run(params, %{})
56 end
57end
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+ + diff --git a/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.html b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.html new file mode 100644 index 0000000..10c4fe7 --- /dev/null +++ b/apps/labs_jido_agent/cover/Elixir.LabsJidoAgent.html @@ -0,0 +1,274 @@ + + + + +cover/Elixir.LabsJidoAgent.html + + + +

cover/Elixir.LabsJidoAgent.html

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
1defmodule LabsJidoAgent do
2 @moduledoc """
3 Educational lab demonstrating AI agent patterns using the Jido framework.
4
5 This application provides three AI agents for learning assistance:
6
7 - `LabsJidoAgent.CodeReviewAgent` - Reviews Elixir code for quality and idioms
8 - `LabsJidoAgent.StudyBuddyAgent` - Answers questions about Elixir concepts
9 - `LabsJidoAgent.ProgressCoachAgent` - Analyzes learning progress and provides guidance
10
11 ## Quick Start
12
13 # Review some code
14 {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1)
15
16 # Ask a question
17 {:ok, answer} = LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?")
18
19 # Analyze progress
20 {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123")
21
22 See the README for full documentation and examples.
23 """
24
25 @doc """
26 Returns the version of the labs_jido_agent application.
27 """
28 def version do
29
:-(
Application.spec(:labs_jido_agent, :vsn) |> to_string()
30 end
31end
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+ + diff --git a/apps/labs_jido_agent/lib/labs_jido_agent.ex b/apps/labs_jido_agent/lib/labs_jido_agent.ex new file mode 100644 index 0000000..22da210 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent.ex @@ -0,0 +1,31 @@ +defmodule LabsJidoAgent do + @moduledoc """ + Educational lab demonstrating AI agent patterns using the Jido framework. + + This application provides three AI agents for learning assistance: + + - `LabsJidoAgent.CodeReviewAgent` - Reviews Elixir code for quality and idioms + - `LabsJidoAgent.StudyBuddyAgent` - Answers questions about Elixir concepts + - `LabsJidoAgent.ProgressCoachAgent` - Analyzes learning progress and provides guidance + + ## Quick Start + + # Review some code + {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1) + + # Ask a question + {:ok, answer} = LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?") + + # Analyze progress + {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123") + + See the README for full documentation and examples. + """ + + @doc """ + Returns the version of the labs_jido_agent application. + """ + def version do + Application.spec(:labs_jido_agent, :vsn) |> to_string() + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/application.ex b/apps/labs_jido_agent/lib/labs_jido_agent/application.ex new file mode 100644 index 0000000..7d8f022 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/application.ex @@ -0,0 +1,18 @@ +defmodule LabsJidoAgent.Application do + @moduledoc """ + Application for Jido Agent labs demonstrating AI agent patterns in Elixir. + """ + + use Application + + @impl true + def start(_type, _args) do + children = [ + # Agent registry for dynamic agent management + {Registry, keys: :unique, name: LabsJidoAgent.Registry} + ] + + opts = [strategy: :one_for_one, name: LabsJidoAgent.Supervisor] + Supervisor.start_link(children, opts) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/code_review_action.ex b/apps/labs_jido_agent/lib/labs_jido_agent/code_review_action.ex new file mode 100644 index 0000000..72decc2 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/code_review_action.ex @@ -0,0 +1,324 @@ +defmodule LabsJidoAgent.CodeReviewAction do + @moduledoc """ + A Jido Action that reviews Elixir code using LLM-powered analysis. + + This action demonstrates: + - Using Jido.Action behavior + - LLM integration via Instructor + - Structured parameter validation + - Educational feedback generation + + ## LLM vs Simulated Mode + + By default, uses real LLM if configured (via OPENAI_API_KEY, etc). + Falls back to simulated pattern-based analysis if LLM unavailable. + + ## Examples + + # With LLM configured + {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1) + + # Force simulated mode + {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, + phase: 1, use_llm: false) + """ + + use Jido.Action, + name: "code_review", + description: "Reviews Elixir code for quality, idioms, and best practices", + category: "education", + tags: ["code-review", "elixir", "education", "llm"], + schema: [ + code: [type: :string, required: true, doc: "The Elixir code to review"], + phase: [type: :integer, default: 1, doc: "Learning phase (1-15)"], + focus: [ + type: {:in, [:quality, :performance, :idioms, :all]}, + default: :all, + doc: "Review focus area" + ], + use_llm: [type: :boolean, default: true, doc: "Use LLM if available"] + ] + + alias LabsJidoAgent.{LLM, Schemas} + + @impl true + def run(params, _context) do + code = params.code + phase = params.phase + focus = params.focus + use_llm = params.use_llm + + if use_llm and LLM.available?() do + llm_review(code, phase, focus) + else + simulated_review(code, phase, focus) + end + end + + # LLM-powered review + defp llm_review(code, phase, focus) do + prompt = build_review_prompt(code, phase, focus) + + case LLM.chat_structured(prompt, + response_model: Schemas.CodeReviewResponse, + model: :smart, + temperature: 0.3 + ) do + {:ok, %Schemas.CodeReviewResponse{} = review} -> + # Convert Ecto schema to plain map (issues are already maps now) + feedback = %{ + score: review.score, + issues: review.issues || [], + suggestions: format_suggestions(review.suggestions, review.issues), + aspects_reviewed: get_review_aspects(phase, focus), + phase: phase, + llm_powered: true + } + + {:ok, feedback} + + {:error, reason} -> + # Fall back to simulated on LLM error + IO.warn("LLM review failed: #{inspect(reason)}, falling back to simulated") + simulated_review(code, phase, focus) + end + end + + defp build_review_prompt(code, phase, focus) do + aspects = get_review_aspects(phase, focus) + aspects_text = Enum.join(aspects, ", ") + + """ + You are an expert Elixir code reviewer for educational purposes. + + Review the following Elixir code for a student in Phase #{phase} of learning. + + Focus areas: #{aspects_text} + + Code to review: + ```elixir + #{code} + ``` + + Provide: + 1. A score (0-100) based on code quality + 2. A brief summary of overall quality + 3. Specific issues found (type, severity, line number if identifiable, message, suggestion) + 4. General suggestions for improvement + 5. Learning resources relevant to the issues + + Be constructive and educational. Prioritize teaching over criticism. + For Phase #{phase}, focus on concepts appropriate for that level. + """ + end + + defp format_suggestions(general_suggestions, issues) do + issue_suggestions = + Enum.map(issues || [], fn issue -> + # Handle both map (from LLM) and struct (not used anymore) formats + type = if is_map(issue), do: Map.get(issue, "type") || Map.get(issue, :type), else: issue.type + message = if is_map(issue), do: Map.get(issue, "message") || Map.get(issue, :message), else: issue.message + suggestion = if is_map(issue), do: Map.get(issue, "suggestion") || Map.get(issue, :suggestion), else: issue.suggestion + + %{ + original_issue: message, + suggestion: suggestion, + resources: get_resources_for_type(type) + } + end) + + # Add general suggestions + general = + Enum.map(general_suggestions || [], fn sug -> + %{ + original_issue: "General improvement", + suggestion: sug, + resources: [] + } + end) + + issue_suggestions ++ general + end + + # Simulated review (fallback when no LLM) + defp simulated_review(code, phase, focus) do + review_aspects = get_review_aspects(phase, focus) + issues = analyze_code_structure(code, review_aspects) + suggestions = generate_suggestions(issues, phase) + score = calculate_score(issues) + + feedback = %{ + score: score, + issues: issues, + suggestions: suggestions, + aspects_reviewed: review_aspects, + phase: phase, + llm_powered: false + } + + {:ok, feedback} + end + + # Review aspects based on phase + defp get_review_aspects(phase, focus) when focus == :all do + base_aspects = [:pattern_matching, :function_heads, :documentation] + + phase_aspects = + case phase do + 1 -> [:recursion, :tail_optimization, :enum_vs_stream] + 2 -> [:process_design, :message_passing] + 3 -> [:genserver_patterns, :supervision] + 4 -> [:naming, :registry_usage] + 5 -> [:ecto_schemas, :changesets, :transactions] + _ -> [] + end + + base_aspects ++ phase_aspects + end + + defp get_review_aspects(_phase, focus), do: [focus] + + # Simulated code analysis + defp analyze_code_structure(code, aspects) do + issues = [] + + # Check for non-tail recursion + issues = + if :recursion in aspects and String.contains?(code, "+ sum(") do + [ + %{ + type: :performance, + severity: :medium, + line: find_line(code, "+ sum("), + message: "Non-tail-recursive function detected", + suggestion: "Consider using an accumulator for tail-call optimization" + } + | issues + ] + else + issues + end + + # Check for missing documentation + issues = + if :documentation in aspects and not String.contains?(code, "@doc") do + [ + %{ + type: :quality, + severity: :low, + line: 1, + message: "Missing module or function documentation", + suggestion: "Add @moduledoc and @doc attributes" + } + | issues + ] + else + issues + end + + # Check pattern matching usage + issues = + if :pattern_matching in aspects and String.contains?(code, "if ") do + [ + %{ + type: :idioms, + severity: :low, + line: find_line(code, "if "), + message: "Consider using pattern matching instead of if/else", + suggestion: "Elixir idioms favor pattern matching in function heads" + } + | issues + ] + else + issues + end + + issues + end + + defp find_line(code, pattern) do + code + |> String.split("\n") + |> Enum.find_index(&String.contains?(&1, pattern)) + |> case do + nil -> nil + idx -> idx + 1 + end + end + + defp generate_suggestions(issues, _phase) do + Enum.map(issues, fn issue -> + %{ + original_issue: issue.message, + suggestion: issue.suggestion, + resources: get_resources_for_type(issue.type) + } + end) + end + + defp get_resources_for_type(:performance) do + [ + "Elixir docs: Recursion and tail-call optimization", + "Livebook: phase-01-core/02-recursion.livemd" + ] + end + + defp get_resources_for_type(:quality) do + [ + "Elixir docs: Writing documentation", + "ExDoc documentation" + ] + end + + defp get_resources_for_type(:idioms) do + [ + "Elixir Style Guide", + "Livebook: phase-01-core/01-pattern-matching.livemd" + ] + end + + defp get_resources_for_type(_), do: [] + + defp calculate_score(issues) do + base_score = 100 + + deductions = + Enum.reduce(issues, 0, fn issue, acc -> + case issue.severity do + :critical -> acc + 20 + :high -> acc + 10 + :medium -> acc + 5 + :low -> acc + 2 + end + end) + + max(0, base_score - deductions) + end + + ## Public Helper API + + @doc """ + Reviews code and provides feedback (convenience wrapper). + + ## Options + * `:phase` - Learning phase (1-15), default: 1 + * `:focus` - Review focus (`:quality`, `:performance`, `:idioms`, `:all`), default: `:all` + * `:use_llm` - Use LLM if available, default: true + + ## Examples + + code = "defmodule Example do\\n def hello, do: :world\\nend" + {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1) + {:ok, feedback} = LabsJidoAgent.CodeReviewAction.review(code, phase: 1, use_llm: false) + """ + def review(code, opts \\ []) do + params = %{ + code: code, + phase: Keyword.get(opts, :phase, 1), + focus: Keyword.get(opts, :focus, :all), + use_llm: Keyword.get(opts, :use_llm, true) + } + + run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/code_review_agent.ex b/apps/labs_jido_agent/lib/labs_jido_agent/code_review_agent.ex new file mode 100644 index 0000000..52fd0d3 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/code_review_agent.ex @@ -0,0 +1,70 @@ +defmodule LabsJidoAgent.CodeReviewAgent do + @moduledoc """ + An Agent that reviews Elixir code using the CodeReviewAction. + + This demonstrates the Jido Agent + Action pattern for educational AI assistance. + + ## Examples + + # Create agent and review code + {:ok, agent} = LabsJidoAgent.CodeReviewAgent.new() + {:ok, agent} = LabsJidoAgent.CodeReviewAgent.set(agent, + code: code_string, + phase: 1, + focus: :all + ) + {:ok, agent} = LabsJidoAgent.CodeReviewAgent.plan(agent, LabsJidoAgent.CodeReviewAction) + {:ok, agent} = LabsJidoAgent.CodeReviewAgent.run(agent) + + feedback = agent.result + IO.inspect(feedback.issues) + + # Or use the convenient helper + {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1) + """ + + use Jido.Agent, + name: "code_review_agent", + description: "Reviews Elixir code for quality, idioms, and best practices", + category: "education", + tags: ["code-review", "elixir"], + schema: [ + code: [type: :string, doc: "The Elixir code to review"], + phase: [type: :integer, default: 1, doc: "Learning phase (1-15)"], + focus: [ + type: {:in, [:quality, :performance, :idioms, :all]}, + default: :all, + doc: "Review focus area" + ] + ], + actions: [LabsJidoAgent.CodeReviewAction] + + @doc """ + Convenience function to review code without manually managing agent lifecycle. + + ## Options + * `:phase` - Learning phase (1-15), default: 1 + * `:focus` - Review focus (`:quality`, `:performance`, `:idioms`, `:all`), default: `:all` + + ## Examples + + code = ''' + defmodule MyList do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) + end + ''' + + {:ok, feedback} = LabsJidoAgent.CodeReviewAgent.review(code, phase: 1) + IO.inspect(feedback.issues) + """ + def review(code, opts \\ []) do + phase = Keyword.get(opts, :phase, 1) + focus = Keyword.get(opts, :focus, :all) + use_llm = Keyword.get(opts, :use_llm, true) + + # Build params and call action directly for convenience + params = %{code: code, phase: phase, focus: focus, use_llm: use_llm} + LabsJidoAgent.CodeReviewAction.run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/llm.ex b/apps/labs_jido_agent/lib/labs_jido_agent/llm.ex new file mode 100644 index 0000000..cde51f8 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/llm.ex @@ -0,0 +1,187 @@ +defmodule LabsJidoAgent.LLM do + @moduledoc """ + Centralized LLM configuration and client for Jido agents. + + Supports multiple providers: OpenAI, Anthropic, Google Gemini. + + ## Configuration + + Set via environment variables: + + export LLM_PROVIDER=openai # or anthropic, gemini + export OPENAI_API_KEY=sk-... + export ANTHROPIC_API_KEY=sk-ant-... + export GEMINI_API_KEY=... + + ## Usage + + # Simple text completion + {:ok, response} = LabsJidoAgent.LLM.chat("Explain recursion", model: :fast) + + # Structured output with validation + {:ok, result} = LabsJidoAgent.LLM.chat_structured( + "Review this code: ...", + response_model: CodeReviewResponse, + model: :smart + ) + """ + + @doc """ + Get the configured LLM provider. + Defaults to :openai if not set. + """ + def provider do + case System.get_env("LLM_PROVIDER", "openai") do + "anthropic" -> :anthropic + "gemini" -> :gemini + _ -> :openai + end + end + + @doc """ + Get the model name for the specified tier. + + ## Tiers + - `:fast` - Quick, cheaper responses + - `:smart` - Better quality, more expensive + - `:balanced` - Middle ground + """ + def model_name(tier \\ :balanced) do + get_model_for_provider(provider(), tier) + end + + defp get_model_for_provider(:openai, :fast), do: "gpt-5-nano" + defp get_model_for_provider(:openai, :balanced), do: "gpt-5-mini" + defp get_model_for_provider(:openai, :smart), do: "gpt-5" + defp get_model_for_provider(:anthropic, :fast), do: "claude-haiku-4-5" + defp get_model_for_provider(:anthropic, :balanced), do: "claude-sonnet-4-5" + defp get_model_for_provider(:anthropic, :smart), do: "claude-opus-4-1" + defp get_model_for_provider(:gemini, :fast), do: "gemini-2.5-flash" + defp get_model_for_provider(:gemini, :balanced), do: "gemini-2.5-flash" + defp get_model_for_provider(:gemini, :smart), do: "gemini-2.5-pro" + + @doc """ + Simple chat completion returning text response. + + ## Options + - `:model` - Model tier (`:fast`, `:balanced`, `:smart`) + - `:temperature` - Creativity (0.0-2.0, default 0.7) + - `:max_tokens` - Max response length + """ + def chat(prompt, opts \\ []) do + model = Keyword.get(opts, :model, :balanced) + temperature = Keyword.get(opts, :temperature, 0.7) + max_tokens = Keyword.get(opts, :max_tokens, 2000) + + params = [ + model: model_name(model), + temperature: temperature, + max_tokens: max_tokens, + messages: [ + %{role: "user", content: prompt} + ] + ] + + # Note: For simple chat without response_model, Instructor returns the raw response + # We'll need to adapt this based on actual Instructor behavior + call_llm(params) + end + + @doc """ + Structured chat completion with validation via Instructor. + + ## Options + - `:response_model` - Ecto schema or map of types for validation + - `:model` - Model tier (`:fast`, `:balanced`, `:smart`) + - `:temperature` - Creativity (0.0-2.0) + - `:max_retries` - Retry count for validation failures (default 2) + """ + def chat_structured(prompt, opts) do + response_model = Keyword.fetch!(opts, :response_model) + model = Keyword.get(opts, :model, :balanced) + temperature = Keyword.get(opts, :temperature, 0.7) + max_retries = Keyword.get(opts, :max_retries, 2) + + # Get API key based on provider + api_key = case provider() do + :openai -> System.get_env("OPENAI_API_KEY") + :anthropic -> System.get_env("ANTHROPIC_API_KEY") + :gemini -> System.get_env("GEMINI_API_KEY") + end + + params = [ + model: model_name(model), + temperature: temperature, + response_model: response_model, + max_retries: max_retries, + messages: [ + %{role: "user", content: prompt} + ] + ] + + # Config with API key and options is passed as second argument + # API URL depends on provider + api_url = case provider() do + :openai -> "https://api.openai.com" + :anthropic -> "https://api.anthropic.com" + :gemini -> "https://generativelanguage.googleapis.com" + end + + config = [ + api_key: api_key, + api_url: api_url, + http_options: [receive_timeout: 60_000] + ] + + Instructor.chat_completion(params, config) + end + + @doc """ + Check if LLM is configured and available. + """ + def available? do + case provider() do + :openai -> System.get_env("OPENAI_API_KEY") != nil + :anthropic -> System.get_env("ANTHROPIC_API_KEY") != nil + :gemini -> System.get_env("GEMINI_API_KEY") != nil + end + end + + # Private functions + + defp call_llm(params) do + if available?() do + # Get API key and config based on provider + api_key = case provider() do + :openai -> System.get_env("OPENAI_API_KEY") + :anthropic -> System.get_env("ANTHROPIC_API_KEY") + :gemini -> System.get_env("GEMINI_API_KEY") + end + + api_url = case provider() do + :openai -> "https://api.openai.com" + :anthropic -> "https://api.anthropic.com" + :gemini -> "https://generativelanguage.googleapis.com" + end + + config = [ + api_key: api_key, + api_url: api_url, + http_options: [receive_timeout: 60_000] + ] + + # Use Instructor for all calls (it handles provider differences) + Instructor.chat_completion(params, config) + else + {:error, "LLM not configured. Set #{provider_env_var()} environment variable."} + end + end + + defp provider_env_var do + case provider() do + :openai -> "OPENAI_API_KEY" + :anthropic -> "ANTHROPIC_API_KEY" + :gemini -> "GEMINI_API_KEY" + end + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_action.ex b/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_action.ex new file mode 100644 index 0000000..59d60ba --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_action.ex @@ -0,0 +1,391 @@ +defmodule LabsJidoAgent.ProgressCoachAction do + @moduledoc """ + A Jido Action that analyzes learning progress and provides personalized recommendations. + + This action: + - Reads `.progress.json` to analyze completion + - Identifies strengths and challenges + - Suggests next phases + - Estimates time to completion + + ## Examples + + params = %{student_id: "student_123", progress_data: %{}} + {:ok, advice} = LabsJidoAgent.ProgressCoachAction.run(params, %{}) + """ + + use Jido.Action, + name: "progress_coach", + description: "Analyzes learning progress and provides personalized guidance", + category: "education", + tags: ["progress", "coaching", "analytics", "llm"], + schema: [ + student_id: [type: :string, required: true, doc: "Student identifier"], + progress_data: [type: :map, default: %{}, doc: "Progress JSON data (optional)"], + use_llm: [type: :boolean, default: true, doc: "Use LLM if available"] + ] + + alias LabsJidoAgent.{LLM, Schemas} + + @impl true + def run(params, _context) do + student_id = params.student_id + progress_data = params.progress_data + use_llm = params.use_llm + + # Load progress from file if not provided + progress = if progress_data == %{}, do: load_progress(), else: progress_data + + if use_llm and LLM.available?() do + llm_coaching(student_id, progress) + else + simulated_coaching(student_id, progress) + end + end + + # LLM-powered coaching + defp llm_coaching(student_id, progress) do + # Analyze for context + analysis = analyze_student_progress(progress) + prompt = build_coaching_prompt(student_id, analysis) + + case LLM.chat_structured(prompt, + response_model: Schemas.ProgressAnalysis, + model: :balanced, + temperature: 0.6 + ) do + {:ok, %Schemas.ProgressAnalysis{} = coach_response} -> + result = %{ + student_id: student_id, + recommendations: + Enum.map(coach_response.recommendations, &recommendation_to_map/1), + next_phase: suggest_next_phase(analysis), + review_areas: identify_review_areas(analysis), + strengths: coach_response.strengths || analysis.strengths, + challenges: coach_response.challenges || [], + estimated_time_to_next: estimate_time_to_completion(analysis, suggest_next_phase(analysis)), + llm_powered: true + } + + {:ok, result} + + {:error, reason} -> + IO.warn("LLM coaching failed: #{inspect(reason)}, falling back to simulated") + simulated_coaching(student_id, progress) + end + end + + defp build_coaching_prompt(student_id, analysis) do + completion = round(analysis.overall_completion) + + phase_summary = + analysis.phase_stats + |> Enum.take(5) + |> Enum.map_join("\n", fn stat -> + "- #{stat.phase}: #{round(stat.percentage)}% complete (#{stat.completed}/#{stat.total})" + end) + + """ + You are an encouraging programming coach analyzing a student's progress. + + Student ID: #{student_id} + Overall completion: #{completion}% + + Progress by phase: + #{phase_summary} + + Provide personalized coaching: + 1. Specific recommendations (with priority and actionable steps) + 2. Strengths to celebrate + 3. Challenges to address + 4. Next phase suggestion with reasoning + + Be encouraging, specific, and actionable. Focus on growth mindset and achievable goals. + """ + end + + defp recommendation_to_map(rec) when is_map(rec) do + # Handle both map (from LLM) and struct formats + %{ + priority: Map.get(rec, "priority") || Map.get(rec, :priority), + type: Map.get(rec, "type") || Map.get(rec, :type), + message: Map.get(rec, "message") || Map.get(rec, :message), + action: Map.get(rec, "action") || Map.get(rec, :action) + } + end + + # Simulated coaching (fallback) + defp simulated_coaching(student_id, progress) do + # Analyze current state + analysis = analyze_student_progress(progress) + + # Generate personalized recommendations + recommendations = generate_recommendations(analysis) + + # Determine next best phase + next_phase = suggest_next_phase(analysis) + + # Identify areas needing review + review_areas = identify_review_areas(analysis) + + result = %{ + student_id: student_id, + recommendations: recommendations, + next_phase: next_phase, + review_areas: review_areas, + strengths: analysis.strengths, + challenges: analysis.challenges, + estimated_time_to_next: estimate_time_to_completion(analysis, next_phase), + llm_powered: false + } + + {:ok, result} + end + + # Private functions + + defp load_progress do + progress_file = "livebooks/.progress.json" + + case File.read(progress_file) do + {:ok, content} -> Jason.decode!(content) + {:error, _} -> %{} + end + end + + defp analyze_student_progress(progress) do + phases = get_all_phases() + + phase_stats = + Enum.map(phases, fn phase -> + phase_data = Map.get(progress, phase, %{}) + checkpoints = Map.keys(phase_data) + completed = Enum.count(checkpoints, fn cp -> Map.get(phase_data, cp) == true end) + total = get_checkpoint_count(phase) + + %{ + phase: phase, + completed: completed, + total: total, + percentage: if(total > 0, do: completed / total * 100, else: 0), + status: determine_phase_status(completed, total) + } + end) + + current_phase = find_current_phase(phase_stats) + strengths = identify_strengths(phase_stats) + challenges = identify_challenges(phase_stats) + + %{ + current_phase: current_phase, + phase_stats: phase_stats, + overall_completion: calculate_overall_completion(phase_stats), + strengths: strengths, + challenges: challenges + } + end + + defp get_all_phases do + [ + "phase-01-core", + "phase-02-processes", + "phase-03-genserver", + "phase-04-naming", + "phase-05-data", + "phase-06-phoenix", + "phase-07-jobs", + "phase-08-caching", + "phase-09-distribution", + "phase-10-observability", + "phase-11-testing", + "phase-12-delivery", + "phase-13-capstone", + "phase-14-cto", + "phase-15-ai" + ] + end + + defp get_checkpoint_count("phase-01-core"), do: 7 + defp get_checkpoint_count(_), do: 5 + + defp determine_phase_status(completed, total) do + percentage = if total > 0, do: completed / total * 100, else: 0 + + cond do + percentage == 0 -> :not_started + percentage == 100 -> :completed + percentage >= 50 -> :in_progress_strong + true -> :in_progress + end + end + + defp find_current_phase(phase_stats) do + phase_stats + |> Enum.find(fn stat -> + stat.status in [:in_progress, :in_progress_strong] + end) + |> case do + nil -> + # Find first incomplete phase + Enum.find(phase_stats, fn stat -> stat.status == :not_started end) + + phase -> + phase + end + end + + defp calculate_overall_completion(phase_stats) do + total_checkpoints = Enum.sum(Enum.map(phase_stats, & &1.total)) + completed_checkpoints = Enum.sum(Enum.map(phase_stats, & &1.completed)) + + if total_checkpoints > 0 do + completed_checkpoints / total_checkpoints * 100 + else + 0 + end + end + + defp identify_strengths(phase_stats) do + phase_stats + |> Enum.filter(fn stat -> stat.percentage == 100 end) + |> Enum.map(fn stat -> phase_to_concept(stat.phase) end) + end + + defp identify_challenges(phase_stats) do + phase_stats + |> Enum.filter(fn stat -> + stat.status == :in_progress and stat.percentage < 50 and stat.percentage > 0 + end) + |> Enum.map(fn stat -> %{phase: stat.phase, completion: stat.percentage} end) + end + + defp phase_to_concept("phase-01-core"), do: "Elixir fundamentals" + defp phase_to_concept("phase-02-processes"), do: "Process management" + defp phase_to_concept("phase-03-genserver"), do: "GenServer & supervision" + defp phase_to_concept(phase), do: phase + + defp generate_recommendations(analysis) do + recommendations = [] + + # Recommend next phase if current is nearly complete + recommendations = + if analysis.current_phase && analysis.current_phase.percentage >= 80 do + [ + %{ + priority: :high, + type: :progress, + message: + "You're doing great on #{analysis.current_phase.phase}! Consider moving to the next phase soon.", + action: "Review remaining checkpoints and advance" + } + | recommendations + ] + else + recommendations + end + + # Add encouragement for strengths + recommendations = + if length(analysis.strengths) > 0 do + [ + %{ + priority: :low, + type: :encouragement, + message: "Great work mastering: #{Enum.join(analysis.strengths, ", ")}!", + action: "Keep up the momentum" + } + | recommendations + ] + else + recommendations + end + + # Default recommendation if empty + if recommendations == [] do + [ + %{ + priority: :medium, + type: :start, + message: "Ready to start your Elixir journey?", + action: "Begin with Phase 1: Elixir Core" + } + ] + else + recommendations + end + end + + defp suggest_next_phase(analysis) do + cond do + is_nil(analysis.current_phase) -> + %{ + phase: "phase-01-core", + reason: "Start here for Elixir fundamentals", + prerequisite_met: true + } + + analysis.current_phase.percentage >= 80 -> + current_index = + Enum.find_index(get_all_phases(), fn p -> p == analysis.current_phase.phase end) + + next_phase = Enum.at(get_all_phases(), current_index + 1) + + %{ + phase: next_phase, + reason: "You've completed #{round(analysis.current_phase.percentage)}% of #{analysis.current_phase.phase}", + prerequisite_met: true + } + + true -> + %{ + phase: analysis.current_phase.phase, + reason: "Complete remaining checkpoints first", + prerequisite_met: false + } + end + end + + defp identify_review_areas(analysis) do + Enum.map(analysis.challenges, fn challenge -> + %{ + phase: challenge.phase, + completion: challenge.completion, + suggested_action: "Review checkpoints and complete exercises", + resources: ["Livebook: #{challenge.phase}", "Study guide"] + } + end) + end + + defp estimate_time_to_completion(_analysis, next_phase) do + days = get_estimated_days(next_phase.phase) + + %{ + estimate_days: days, + estimate_hours: days * 6, + confidence: :medium + } + end + + defp get_estimated_days("phase-01-core"), do: 7 + defp get_estimated_days(_), do: 7 + + ## Public Helper API + + @doc """ + Analyzes student progress and provides coaching recommendations (convenience wrapper). + + ## Examples + + {:ok, advice} = LabsJidoAgent.ProgressCoachAction.analyze_progress("student_123") + IO.inspect(advice.recommendations) + """ + def analyze_progress(student_id, progress_data \\ %{}, opts \\ []) do + params = %{ + student_id: student_id, + progress_data: progress_data, + use_llm: Keyword.get(opts, :use_llm, true) + } + + run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_agent.ex b/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_agent.ex new file mode 100644 index 0000000..a9af244 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_agent.ex @@ -0,0 +1,46 @@ +defmodule LabsJidoAgent.ProgressCoachAgent do + @moduledoc """ + An Agent that monitors student progress and provides personalized recommendations. + + Features: + - Reads `.progress.json` automatically + - Identifies strengths and challenges + - Suggests next phases + - Recommends review areas + - Estimates time to completion + + ## Examples + + {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123") + IO.inspect(advice.recommendations) + IO.inspect(advice.next_phase) + """ + + use Jido.Agent, + name: "progress_coach_agent", + description: "Analyzes learning progress and provides personalized guidance", + category: "education", + tags: ["progress", "analytics"], + schema: [ + student_id: [type: :string, doc: "Student identifier"], + progress_data: [type: :map, default: %{}, doc: "Progress JSON data"] + ], + actions: [LabsJidoAgent.ProgressCoachAction] + + @doc """ + Analyzes student progress and provides coaching recommendations (convenience wrapper). + + ## Examples + + {:ok, advice} = LabsJidoAgent.ProgressCoachAgent.analyze_progress("student_123") + IO.inspect(advice.recommendations) + IO.inspect(advice.next_phase) + """ + def analyze_progress(student_id, progress_data \\ %{}, opts \\ []) do + use_llm = Keyword.get(opts, :use_llm, true) + + # Build params and call action directly for convenience + params = %{student_id: student_id, progress_data: progress_data, use_llm: use_llm} + LabsJidoAgent.ProgressCoachAction.run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/schemas.ex b/apps/labs_jido_agent/lib/labs_jido_agent/schemas.ex new file mode 100644 index 0000000..cfef9fc --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/schemas.ex @@ -0,0 +1,114 @@ +defmodule LabsJidoAgent.Schemas do + @moduledoc """ + Ecto schemas for structured LLM responses. + + These schemas define the expected structure of LLM outputs, + enabling validation and type safety via Instructor. + """ + + defmodule CodeIssue do + @moduledoc "Represents a code quality issue" + use Ecto.Schema + import Ecto.Changeset + + @primary_key false + embedded_schema do + field(:type, Ecto.Enum, values: [:quality, :performance, :idioms, :security]) + field(:severity, Ecto.Enum, values: [:critical, :high, :medium, :low]) + field(:line, :integer) + field(:message, :string) + field(:suggestion, :string) + end + + def changeset(issue, attrs) do + issue + |> cast(attrs, [:type, :severity, :line, :message, :suggestion]) + |> validate_required([:type, :severity, :message, :suggestion]) + end + end + + defmodule CodeReviewResponse do + @moduledoc "Structured code review response from LLM" + use Ecto.Schema + import Ecto.Changeset + + @primary_key false + embedded_schema do + field(:score, :integer) + field(:summary, :string) + field(:issues, {:array, :map}) + field(:suggestions, {:array, :string}) + field(:resources, {:array, :string}) + end + + def changeset(review, attrs) do + review + |> cast(attrs, [:score, :summary, :issues, :suggestions, :resources]) + |> validate_required([:score, :summary]) + |> validate_number(:score, greater_than_or_equal_to: 0, less_than_or_equal_to: 100) + end + end + + defmodule StudyResponse do + @moduledoc "Structured study/Q&A response from LLM" + use Ecto.Schema + import Ecto.Changeset + + @primary_key false + embedded_schema do + field(:answer, :string) + field(:concepts, {:array, :string}) + field(:resources, {:array, :string}) + field(:follow_ups, {:array, :string}) + end + + def changeset(response, attrs) do + response + |> cast(attrs, [:answer, :concepts, :resources, :follow_ups]) + |> validate_required([:answer]) + end + end + + defmodule ProgressRecommendation do + @moduledoc "A single progress recommendation" + use Ecto.Schema + import Ecto.Changeset + + @primary_key false + embedded_schema do + field(:priority, Ecto.Enum, values: [:critical, :high, :medium, :low]) + field(:type, Ecto.Enum, + values: [:progress, :review, :encouragement, :start, :challenge] + ) + + field(:message, :string) + field(:action, :string) + end + + def changeset(rec, attrs) do + rec + |> cast(attrs, [:priority, :type, :message, :action]) + |> validate_required([:priority, :type, :message, :action]) + end + end + + defmodule ProgressAnalysis do + @moduledoc "Structured progress coaching response from LLM" + use Ecto.Schema + import Ecto.Changeset + + @primary_key false + embedded_schema do + field(:recommendations, {:array, :map}) + field(:strengths, {:array, :string}) + field(:challenges, {:array, :string}) + field(:next_phase_suggestion, :string) + end + + def changeset(analysis, attrs) do + analysis + |> cast(attrs, [:recommendations, :strengths, :challenges, :next_phase_suggestion]) + |> validate_required([:recommendations]) + end + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_action.ex b/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_action.ex new file mode 100644 index 0000000..d41bccf --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_action.ex @@ -0,0 +1,363 @@ +defmodule LabsJidoAgent.StudyBuddyAction do + @moduledoc """ + A Jido Action that answers questions about Elixir concepts. + + This action provides three response modes: + - `:explain` - Direct explanations with theory and examples + - `:socratic` - Guides learning through questions + - `:example` - Provides runnable code examples + + ## Examples + + params = %{question: "What is tail recursion?", phase: 1, mode: :explain} + {:ok, response} = LabsJidoAgent.StudyBuddyAction.run(params, %{}) + """ + + use Jido.Action, + name: "study_buddy", + description: "Answers questions about Elixir concepts and guides learning", + category: "education", + tags: ["qa", "elixir", "learning", "llm"], + schema: [ + question: [type: :string, required: true, doc: "The student's question"], + phase: [type: :integer, default: 1, doc: "Current learning phase"], + mode: [ + type: {:in, [:explain, :socratic, :example]}, + default: :explain, + doc: "Response mode" + ], + use_llm: [type: :boolean, default: true, doc: "Use LLM if available"] + ] + + alias LabsJidoAgent.{LLM, Schemas} + + @impl true + def run(params, _context) do + question = params.question + phase = params.phase + mode = params.mode + use_llm = params.use_llm + + if use_llm and LLM.available?() do + llm_answer(question, phase, mode) + else + simulated_answer(question, phase, mode) + end + end + + # LLM-powered Q&A + defp llm_answer(question, phase, mode) do + prompt = build_study_prompt(question, phase, mode) + + case LLM.chat_structured(prompt, + response_model: Schemas.StudyResponse, + model: :balanced, + temperature: 0.7 + ) do + {:ok, %Schemas.StudyResponse{} = response} -> + {:ok, + %{ + answer: response.answer, + concepts: response.concepts || [], + resources: response.resources || [], + follow_ups: response.follow_ups || [], + llm_powered: true + }} + + {:error, reason} -> + IO.warn("LLM answer failed: #{inspect(reason)}, falling back to simulated") + simulated_answer(question, phase, mode) + end + end + + defp build_study_prompt(question, phase, mode) do + mode_instruction = + case mode do + :explain -> + "Provide a clear, direct explanation with examples." + + :socratic -> + "Guide learning through thoughtful questions. Help the student discover the answer." + + :example -> + "Provide working code examples with explanations." + end + + """ + You are a helpful Elixir programming tutor for a student in Phase #{phase} of learning. + + Student's question: #{question} + + Response mode: #{mode_instruction} + + Provide: + 1. A helpful answer appropriate for their learning phase + 2. Key concepts involved (as a list) + 3. Relevant learning resources + 4. Follow-up questions or topics to explore next + + Be encouraging and educational. Keep explanations clear and appropriate for Phase #{phase}. + """ + end + + # Simulated Q&A (fallback) + defp simulated_answer(question, phase, mode) do + # Determine what concepts are involved + concepts = extract_concepts(question) + + # Find relevant resources + resources = find_resources(concepts, phase) + + # Generate response based on mode + answer = + case mode do + :explain -> generate_explanation(concepts, question) + :socratic -> generate_socratic_questions(concepts, question) + :example -> generate_examples(concepts, question) + end + + response = %{ + answer: answer, + concepts: concepts, + resources: resources, + follow_ups: generate_follow_ups(concepts, phase), + llm_powered: false + } + + {:ok, response} + end + + # Private functions + + defp extract_concepts(question) do + question_lower = String.downcase(question) + concepts = [] + + concepts = + if String.contains?(question_lower, ["recursion", "recursive"]) do + [:recursion | concepts] + else + concepts + end + + concepts = + if String.contains?(question_lower, ["tail", "tail-call", "tco"]) do + [:tail_call_optimization | concepts] + else + concepts + end + + concepts = + if String.contains?(question_lower, ["pattern", "match"]) do + [:pattern_matching | concepts] + else + concepts + end + + concepts = + if String.contains?(question_lower, ["genserver", "gen_server"]) do + [:genserver | concepts] + else + concepts + end + + concepts = + if String.contains?(question_lower, ["process", "spawn"]) do + [:processes | concepts] + else + concepts + end + + if concepts == [], do: [:general], else: concepts + end + + defp find_resources(concepts, phase) do + Enum.flat_map(concepts, fn concept -> + get_resources_for_concept(concept, phase) + end) + |> Enum.uniq() + end + + defp get_resources_for_concept(:recursion, _phase) do + [ + "Livebook: phase-01-core/02-recursion.livemd", + "Official Elixir Guide: Recursion" + ] + end + + defp get_resources_for_concept(:pattern_matching, _phase) do + [ + "Livebook: phase-01-core/01-pattern-matching.livemd", + "Official Elixir Guide: Pattern Matching" + ] + end + + defp get_resources_for_concept(:genserver, phase) when phase >= 3 do + [ + "Livebook: phase-03-genserver/01-genserver-basics.livemd", + "Official Elixir docs: GenServer" + ] + end + + defp get_resources_for_concept(:genserver, _phase) do + ["GenServer is covered in Phase 3"] + end + + defp get_resources_for_concept(_, _), do: [] + + defp generate_explanation(concepts, _question) do + case List.first(concepts) do + :recursion -> + """ + **Recursion in Elixir** + + Recursion is when a function calls itself. In Elixir, it's fundamental for processing lists. + + **Key Concepts:** + 1. **Base case** - Stops recursion + 2. **Recursive case** - Calls itself with modified arguments + + **Example:** + ```elixir + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) + ``` + + **Important**: For large lists, use tail-call optimization with an accumulator. + """ + + :tail_call_optimization -> + """ + **Tail-Call Optimization (TCO)** + + A tail-recursive function has the recursive call as the LAST operation. + + **Non-tail-recursive** (builds up stack): + ```elixir + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) # Addition happens AFTER + ``` + + **Tail-recursive** (constant stack): + ```elixir + def sum(list), do: sum(list, 0) + defp sum([], acc), do: acc + defp sum([h | t], acc), do: sum(t, acc + h) # Call is LAST + ``` + """ + + :pattern_matching -> + """ + **Pattern Matching** + + The `=` operator matches left to right in Elixir. + + **Examples:** + - `{:ok, value} = {:ok, 42}` + - `[head | tail] = [1, 2, 3]` + - `%{name: n} = %{name: "Alice", age: 30}` + + Pattern matching in functions: + ```elixir + def greet({:ok, name}), do: "Hello, \#{name}!" + def greet({:error, _}), do: "Error!" + ``` + """ + + _ -> + """ + I can help you learn about Elixir! Try asking about: + - Pattern matching + - Recursion and tail-call optimization + - Processes and message passing + - GenServer and OTP + """ + end + end + + defp generate_socratic_questions(concepts, question) do + case List.first(concepts) do + :recursion -> + """ + Let's explore recursion together: + + 1. What happens to the call stack when you call a function recursively? + 2. In `def sum([h | t]), do: h + sum(t)`, what operation happens AFTER the recursive call? + 3. How could you modify this so the recursive call is the last operation? + 4. What role does an accumulator play in tail recursion? + + Think about these, then check the resources below. + """ + + _ -> + generate_explanation(concepts, question) + end + end + + defp generate_examples(concepts, question) do + case List.first(concepts) do + :recursion -> + """ + **Recursion Examples** + + **List Length:** + ```elixir + # Tail-recursive + def length(list), do: length(list, 0) + defp length([], acc), do: acc + defp length([_ | t], acc), do: length(t, acc + 1) + ``` + + **Map Implementation:** + ```elixir + def map(list, func), do: map(list, func, []) + + defp map([], _func, acc), do: Enum.reverse(acc) + defp map([h | t], func, acc), do: map(t, func, [func.(h) | acc]) + ``` + """ + + _ -> + generate_explanation(concepts, question) + end + end + + defp generate_follow_ups(concepts, _phase) do + base_suggestions = [ + "Try the interactive exercises in Livebook" + ] + + concept_suggestions = + Enum.flat_map(concepts, fn concept -> + case concept do + :recursion -> ["Next: Learn about Enum vs Stream"] + :pattern_matching -> ["Next: Learn about guards"] + _ -> [] + end + end) + + base_suggestions ++ concept_suggestions + end + + ## Public Helper API + + @doc """ + Ask a question (convenience wrapper). + + ## Examples + + {:ok, response} = LabsJidoAgent.StudyBuddyAction.ask("What is recursion?") + {:ok, response} = LabsJidoAgent.StudyBuddyAction.ask("How do I use GenServer?", + phase: 3, mode: :example) + """ + def ask(question, opts \\ []) do + params = %{ + question: question, + phase: Keyword.get(opts, :phase, 1), + mode: Keyword.get(opts, :mode, :explain), + use_llm: Keyword.get(opts, :use_llm, true) + } + + run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_agent.ex b/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_agent.ex new file mode 100644 index 0000000..b5abbf9 --- /dev/null +++ b/apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_agent.ex @@ -0,0 +1,57 @@ +defmodule LabsJidoAgent.StudyBuddyAgent do + @moduledoc """ + An Agent that answers questions about Elixir concepts using StudyBuddyAction. + + Provides three response modes: + - `:explain` - Direct explanations + - `:socratic` - Guided learning through questions + - `:example` - Code examples + + ## Examples + + {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?") + IO.puts(response.answer) + + {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("How do I use GenServer?", + phase: 3, mode: :example) + """ + + use Jido.Agent, + name: "study_buddy_agent", + description: "Answers questions about Elixir concepts and guides learning", + category: "education", + tags: ["qa", "learning"], + schema: [ + question: [type: :string, doc: "The student's question"], + phase: [type: :integer, default: 1, doc: "Current learning phase"], + mode: [ + type: {:in, [:explain, :socratic, :example]}, + default: :explain, + doc: "Response mode" + ] + ], + actions: [LabsJidoAgent.StudyBuddyAction] + + @doc """ + Ask a question and get an explanation (convenience wrapper). + + ## Options + * `:phase` - Current learning phase (1-15) + * `:mode` - Response mode (`:explain`, `:socratic`, `:example`) + + ## Examples + + {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("What is recursion?") + {:ok, response} = LabsJidoAgent.StudyBuddyAgent.ask("How do I use GenServer?", + phase: 3, mode: :example) + """ + def ask(question, opts \\ []) do + phase = Keyword.get(opts, :phase, 1) + mode = Keyword.get(opts, :mode, :explain) + use_llm = Keyword.get(opts, :use_llm, true) + + # Build params and call action directly for convenience + params = %{question: question, phase: phase, mode: mode, use_llm: use_llm} + LabsJidoAgent.StudyBuddyAction.run(params, %{}) + end +end diff --git a/apps/labs_jido_agent/mix.exs b/apps/labs_jido_agent/mix.exs new file mode 100644 index 0000000..03cf4c4 --- /dev/null +++ b/apps/labs_jido_agent/mix.exs @@ -0,0 +1,37 @@ +defmodule LabsJidoAgent.MixProject do + use Mix.Project + + def project do + [ + app: :labs_jido_agent, + version: "0.1.0", + build_path: "../../_build", + config_path: "../../config/config.exs", + deps_path: "../../deps", + lockfile: "../../mix.lock", + elixir: "~> 1.17", + start_permanent: Mix.env() == :prod, + deps: deps(), + elixirc_paths: elixirc_paths(Mix.env()) + ] + end + + def application do + [ + extra_applications: [:logger], + mod: {LabsJidoAgent.Application, []} + ] + end + + defp elixirc_paths(:test), do: ["lib", "test/support"] + defp elixirc_paths(_), do: ["lib"] + + defp deps do + [ + {:jido, github: "agentjido/jido", branch: "main"}, + {:instructor, "~> 0.1.0"}, + {:jason, "~> 1.4"}, + {:req, "~> 0.5"} + ] + end +end diff --git a/apps/labs_jido_agent/test/labs_jido_agent/actions_integration_test.exs b/apps/labs_jido_agent/test/labs_jido_agent/actions_integration_test.exs new file mode 100644 index 0000000..e07a2a8 --- /dev/null +++ b/apps/labs_jido_agent/test/labs_jido_agent/actions_integration_test.exs @@ -0,0 +1,227 @@ +defmodule LabsJidoAgent.ActionsIntegrationTest do + use ExUnit.Case, async: true + + alias LabsJidoAgent.{CodeReviewAction, ProgressCoachAction, StudyBuddyAction} + + describe "CodeReviewAction" do + test "run/2 with valid code" do + code = """ + defmodule Example do + def add(a, b), do: a + b + end + """ + + {:ok, result} = CodeReviewAction.run( + %{code: code, phase: 1, focus: :all, use_llm: false}, + %{} + ) + + assert is_map(result) + assert Map.has_key?(result, :score) + assert Map.has_key?(result, :issues) + assert Map.has_key?(result, :suggestions) + assert is_integer(result.score) + assert is_list(result.issues) + assert is_list(result.suggestions) + end + + test "run/2 with different focus areas" do + code = "defmodule Test do\nend" + + {:ok, quality_result} = CodeReviewAction.run( + %{code: code, phase: 1, focus: :quality, use_llm: false}, + %{} + ) + {:ok, performance_result} = CodeReviewAction.run( + %{code: code, phase: 1, focus: :performance, use_llm: false}, + %{} + ) + {:ok, idioms_result} = CodeReviewAction.run( + %{code: code, phase: 1, focus: :idioms, use_llm: false}, + %{} + ) + + assert is_map(quality_result) + assert is_map(performance_result) + assert is_map(idioms_result) + end + + test "run/2 handles empty code" do + result = CodeReviewAction.run( + %{code: "", phase: 1, focus: :all, use_llm: false}, + %{} + ) + + assert {:ok, response} = result + assert is_map(response) + end + + test "run/2 with different phases" do + code = "defmodule Test do\nend" + + {:ok, phase1} = CodeReviewAction.run( + %{code: code, phase: 1, focus: :all, use_llm: false}, + %{} + ) + {:ok, phase5} = CodeReviewAction.run( + %{code: code, phase: 5, focus: :all, use_llm: false}, + %{} + ) + {:ok, phase10} = CodeReviewAction.run( + %{code: code, phase: 10, focus: :all, use_llm: false}, + %{} + ) + + assert is_map(phase1) + assert is_map(phase5) + assert is_map(phase10) + end + end + + describe "StudyBuddyAction" do + test "run/2 answers simple questions" do + {:ok, result} = StudyBuddyAction.run( + %{question: "What is a process?", phase: 2, mode: :explain, use_llm: false}, + %{} + ) + + assert is_map(result) + assert Map.has_key?(result, :answer) + assert Map.has_key?(result, :concepts) + assert is_binary(result.answer) + assert is_list(result.concepts) + end + + test "run/2 with different explanation modes" do + question = "What is pattern matching?" + + {:ok, explain_result} = StudyBuddyAction.run( + %{question: question, phase: 1, mode: :explain, use_llm: false}, + %{} + ) + {:ok, socratic_result} = StudyBuddyAction.run( + %{question: question, phase: 1, mode: :socratic, use_llm: false}, + %{} + ) + {:ok, example_result} = StudyBuddyAction.run( + %{question: question, phase: 1, mode: :example, use_llm: false}, + %{} + ) + + assert is_binary(explain_result.answer) + assert is_binary(socratic_result.answer) + assert is_binary(example_result.answer) + end + + test "run/2 extracts concepts from questions" do + {:ok, result} = StudyBuddyAction.run( + %{question: "How do GenServers handle state?", phase: 3, mode: :explain, use_llm: false}, + %{} + ) + + assert is_list(result.concepts) + assert length(result.concepts) > 0 + end + + test "run/2 provides follow-up questions" do + {:ok, result} = StudyBuddyAction.run( + %{question: "What is OTP?", phase: 3, mode: :explain, use_llm: false}, + %{} + ) + + assert Map.has_key?(result, :follow_ups) + assert is_list(result.follow_ups) + end + + test "run/2 includes resources" do + {:ok, result} = StudyBuddyAction.run( + %{question: "What are supervisors?", phase: 3, mode: :explain, use_llm: false}, + %{} + ) + + assert Map.has_key?(result, :resources) + assert is_list(result.resources) + end + end + + describe "ProgressCoachAction" do + test "run/2 analyzes empty progress" do + {:ok, result} = ProgressCoachAction.run( + %{student_id: "test123", progress_data: %{}, use_llm: false}, + %{} + ) + + assert is_map(result) + assert Map.has_key?(result, :recommendations) + assert is_list(result.recommendations) + end + + test "run/2 analyzes progress with completed phases" do + progress = %{ + "phase-01" => %{completed: true, score: 95}, + "phase-02" => %{completed: true, score: 88} + } + + {:ok, result} = ProgressCoachAction.run( + %{student_id: "test123", progress_data: progress, use_llm: false}, + %{} + ) + + assert is_map(result) + assert Map.has_key?(result, :strengths) + assert is_list(result.strengths) + end + + test "run/2 identifies incomplete phases as challenges" do + progress = %{ + "phase-01" => %{completed: true, score: 95}, + "phase-02" => %{completed: false, score: 45} + } + + {:ok, result} = ProgressCoachAction.run( + %{student_id: "test123", progress_data: progress, use_llm: false}, + %{} + ) + + assert Map.has_key?(result, :challenges) + assert is_list(result.challenges) + end + + test "run/2 suggests next phase" do + progress = %{ + "phase-01" => %{completed: true, score: 90}, + "phase-02" => %{completed: true, score: 85} + } + + {:ok, result} = ProgressCoachAction.run( + %{student_id: "test123", progress_data: progress, use_llm: false}, + %{} + ) + + assert Map.has_key?(result, :next_phase) + assert is_map(result.next_phase) + assert Map.has_key?(result.next_phase, :phase) + end + + test "run/2 provides recommendations with priorities" do + progress = %{ + "phase-01" => %{completed: true, score: 70}, + "phase-02" => %{completed: false, score: 40} + } + + {:ok, result} = ProgressCoachAction.run( + %{student_id: "test123", progress_data: progress, use_llm: false}, + %{} + ) + + assert is_list(result.recommendations) + assert length(result.recommendations) > 0 + + # Check recommendation structure + recommendation = List.first(result.recommendations) + assert is_map(recommendation) + assert Map.has_key?(recommendation, :priority) + assert Map.has_key?(recommendation, :message) + end + end +end diff --git a/apps/labs_jido_agent/test/labs_jido_agent/llm_test.exs b/apps/labs_jido_agent/test/labs_jido_agent/llm_test.exs new file mode 100644 index 0000000..e57cf66 --- /dev/null +++ b/apps/labs_jido_agent/test/labs_jido_agent/llm_test.exs @@ -0,0 +1,145 @@ +defmodule LabsJidoAgent.LLMTest do + use ExUnit.Case, async: true + + alias LabsJidoAgent.LLM + + describe "provider/0" do + test "returns :openai when LLM_PROVIDER is openai" do + System.put_env("LLM_PROVIDER", "openai") + assert LLM.provider() == :openai + end + + test "returns :anthropic when LLM_PROVIDER is anthropic" do + System.put_env("LLM_PROVIDER", "anthropic") + assert LLM.provider() == :anthropic + end + + test "returns :gemini when LLM_PROVIDER is gemini" do + System.put_env("LLM_PROVIDER", "gemini") + assert LLM.provider() == :gemini + end + + test "defaults to :openai when LLM_PROVIDER is not set" do + System.delete_env("LLM_PROVIDER") + assert LLM.provider() == :openai + end + end + + describe "model_name/1" do + test "returns correct OpenAI models" do + System.put_env("LLM_PROVIDER", "openai") + assert LLM.model_name(:fast) == "gpt-5-nano" + assert LLM.model_name(:balanced) == "gpt-5-mini" + assert LLM.model_name(:smart) == "gpt-5" + end + + test "returns correct Anthropic models" do + System.put_env("LLM_PROVIDER", "anthropic") + assert LLM.model_name(:fast) == "claude-haiku-4-5" + assert LLM.model_name(:balanced) == "claude-sonnet-4-5" + assert LLM.model_name(:smart) == "claude-opus-4-1" + end + + test "returns correct Gemini models" do + System.put_env("LLM_PROVIDER", "gemini") + assert LLM.model_name(:fast) == "gemini-2.5-flash" + assert LLM.model_name(:balanced) == "gemini-2.5-flash" + assert LLM.model_name(:smart) == "gemini-2.5-pro" + end + + test "defaults to :balanced tier" do + System.put_env("LLM_PROVIDER", "openai") + assert LLM.model_name() == "gpt-5-mini" + end + end + + describe "available?/0" do + test "returns true when OpenAI API key is set" do + System.put_env("LLM_PROVIDER", "openai") + System.put_env("OPENAI_API_KEY", "test-key") + assert LLM.available?() == true + end + + test "returns true when Anthropic API key is set" do + System.put_env("LLM_PROVIDER", "anthropic") + System.put_env("ANTHROPIC_API_KEY", "test-key") + assert LLM.available?() == true + end + + test "returns true when Gemini API key is set" do + System.put_env("LLM_PROVIDER", "gemini") + System.put_env("GEMINI_API_KEY", "test-key") + assert LLM.available?() == true + end + + test "returns false when no API key is set" do + System.put_env("LLM_PROVIDER", "openai") + System.delete_env("OPENAI_API_KEY") + assert LLM.available?() == false + end + end + + describe "chat/2" do + test "returns error when LLM not available" do + System.put_env("LLM_PROVIDER", "openai") + System.delete_env("OPENAI_API_KEY") + + result = LLM.chat("Test prompt") + + assert {:error, message} = result + assert message =~ "LLM not configured" + assert message =~ "OPENAI_API_KEY" + end + + test "uses balanced model by default" do + # This test verifies the default options are set correctly + System.put_env("LLM_PROVIDER", "openai") + System.delete_env("OPENAI_API_KEY") + + # Even though it will fail, we can verify it attempts with right defaults + result = LLM.chat("Test") + assert {:error, _} = result + end + + test "accepts custom options" do + System.put_env("LLM_PROVIDER", "anthropic") + System.delete_env("ANTHROPIC_API_KEY") + + result = LLM.chat("Test", model: :fast, temperature: 0.5, max_tokens: 100) + assert {:error, _} = result + end + end + + describe "chat_structured/2" do + test "requires response_model option" do + System.put_env("LLM_PROVIDER", "openai") + System.put_env("OPENAI_API_KEY", "test-key") + + assert_raise KeyError, fn -> + LLM.chat_structured("Test prompt", []) + end + end + + test "uses correct API URL for each provider" do + # OpenAI + System.put_env("LLM_PROVIDER", "openai") + System.put_env("OPENAI_API_KEY", "test-key") + + # This will fail at the API level but shows config is set up + _result = LLM.chat_structured("Test", response_model: %{test: :string}) + + # Anthropic + System.put_env("LLM_PROVIDER", "anthropic") + System.put_env("ANTHROPIC_API_KEY", "test-key") + _result = LLM.chat_structured("Test", response_model: %{test: :string}) + + # Gemini + System.put_env("LLM_PROVIDER", "gemini") + System.put_env("GEMINI_API_KEY", "test-key") + _result = LLM.chat_structured("Test", response_model: %{test: :string}) + + # Test passes if no crashes occur + assert true + end + end +end diff --git a/apps/labs_jido_agent/test/labs_jido_agent/schemas_test.exs b/apps/labs_jido_agent/test/labs_jido_agent/schemas_test.exs new file mode 100644 index 0000000..c3c6b1b --- /dev/null +++ b/apps/labs_jido_agent/test/labs_jido_agent/schemas_test.exs @@ -0,0 +1,133 @@ +defmodule LabsJidoAgent.SchemasTest do + use ExUnit.Case, async: true + + alias LabsJidoAgent.Schemas + + describe "CodeIssue" do + test "creates valid changeset with all fields" do + attrs = %{ + type: :quality, + severity: :medium, + line: 10, + message: "Test message", + suggestion: "Test suggestion" + } + + changeset = Schemas.CodeIssue.changeset(%Schemas.CodeIssue{}, attrs) + assert changeset.valid? + end + + test "requires type, severity, message, and suggestion" do + changeset = Schemas.CodeIssue.changeset(%Schemas.CodeIssue{}, %{}) + refute changeset.valid? + assert %{type: ["can't be blank"], severity: ["can't be blank"]} = errors_on(changeset) + end + end + + describe "CodeReviewResponse" do + test "creates valid changeset" do + attrs = %{ + score: 85, + summary: "Good code", + issues: [], + suggestions: ["Improve X"], + resources: ["Link"] + } + + changeset = Schemas.CodeReviewResponse.changeset(%Schemas.CodeReviewResponse{}, attrs) + assert changeset.valid? + end + + test "validates score range" do + attrs = %{score: 150, summary: "Test"} + changeset = Schemas.CodeReviewResponse.changeset(%Schemas.CodeReviewResponse{}, attrs) + refute changeset.valid? + + attrs = %{score: -10, summary: "Test"} + changeset = Schemas.CodeReviewResponse.changeset(%Schemas.CodeReviewResponse{}, attrs) + refute changeset.valid? + end + end + + describe "StudyResponse" do + test "creates valid changeset" do + attrs = %{ + answer: "This is the answer", + concepts: ["concept1", "concept2"], + resources: ["resource1"], + follow_ups: ["What about X?"] + } + + changeset = Schemas.StudyResponse.changeset(%Schemas.StudyResponse{}, attrs) + assert changeset.valid? + end + + test "requires answer field" do + changeset = Schemas.StudyResponse.changeset(%Schemas.StudyResponse{}, %{}) + refute changeset.valid? + assert %{answer: ["can't be blank"]} = errors_on(changeset) + end + end + + describe "ProgressRecommendation" do + test "creates valid changeset" do + attrs = %{ + priority: :high, + type: :progress, + message: "Keep going!", + action: "Complete phase 2" + } + + changeset = + Schemas.ProgressRecommendation.changeset(%Schemas.ProgressRecommendation{}, attrs) + + assert changeset.valid? + end + + test "requires all fields" do + changeset = Schemas.ProgressRecommendation.changeset(%Schemas.ProgressRecommendation{}, %{}) + refute changeset.valid? + + assert %{ + priority: ["can't be blank"], + type: ["can't be blank"], + message: ["can't be blank"], + action: ["can't be blank"] + } = errors_on(changeset) + end + end + + describe "ProgressAnalysis" do + test "creates valid changeset" do + attrs = %{ + recommendations: [], + strengths: ["Good understanding"], + challenges: ["Needs more practice"], + next_phase_suggestion: "Phase 2" + } + + changeset = Schemas.ProgressAnalysis.changeset(%Schemas.ProgressAnalysis{}, attrs) + assert changeset.valid? + end + + test "requires recommendations" do + attrs = %{ + strengths: ["Test"], + challenges: [], + next_phase_suggestion: "Phase 2" + } + + changeset = Schemas.ProgressAnalysis.changeset(%Schemas.ProgressAnalysis{}, attrs) + refute changeset.valid? + end + end + + # Helper to extract errors from changeset + defp errors_on(changeset) do + Ecto.Changeset.traverse_errors(changeset, fn {message, opts} -> + Regex.replace(~r"%{(\w+)}", message, fn _, key -> + opts |> Keyword.get(String.to_existing_atom(key), key) |> to_string() + end) + end) + end +end diff --git a/apps/labs_jido_agent/test/labs_jido_agent_test.exs b/apps/labs_jido_agent/test/labs_jido_agent_test.exs new file mode 100644 index 0000000..92ea218 --- /dev/null +++ b/apps/labs_jido_agent/test/labs_jido_agent_test.exs @@ -0,0 +1,199 @@ +defmodule LabsJidoAgentTest do + use ExUnit.Case + doctest LabsJidoAgent + + alias LabsJidoAgent.{CodeReviewAgent, ProgressCoachAgent, StudyBuddyAgent} + + describe "CodeReviewAgent" do + test "reviews code and finds non-tail-recursive functions" do + code = """ + defmodule BadList do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) + end + """ + + {:ok, feedback} = CodeReviewAgent.review(code, phase: 1) + + assert feedback.score < 100 + assert length(feedback.issues) > 0 + + # Should detect non-tail recursion + assert Enum.any?(feedback.issues, fn issue -> + issue.type == :performance && + String.contains?(issue.message, "tail-recursive") + end) + end + + test "reviews code and finds missing documentation" do + code = """ + defmodule Example do + def hello, do: :world + end + """ + + {:ok, feedback} = CodeReviewAgent.review(code, phase: 1) + + # Should detect missing docs + assert Enum.any?(feedback.issues, fn issue -> + issue.type == :quality && String.contains?(issue.message, "documentation") + end) + end + + test "provides suggestions for improvements" do + code = """ + defmodule MyList do + def length([]), do: 0 + def length([_ | t]), do: 1 + length(t) + end + """ + + {:ok, feedback} = CodeReviewAgent.review(code, phase: 1) + + assert length(feedback.suggestions) > 0 + assert Enum.all?(feedback.suggestions, &Map.has_key?(&1, :suggestion)) + assert Enum.all?(feedback.suggestions, &Map.has_key?(&1, :resources)) + end + + test "returns perfect score for well-written code" do + code = """ + @moduledoc "Example module" + defmodule GoodCode do + @doc "Does something good" + def process(data) when is_list(data) do + data + |> Enum.map(&transform/1) + |> Enum.filter(&valid?/1) + end + end + """ + + {:ok, feedback} = CodeReviewAgent.review(code, phase: 1) + + assert feedback.score >= 90 + end + end + + describe "StudyBuddyAgent" do + test "answers questions about recursion" do + {:ok, response} = StudyBuddyAgent.ask("What is recursion?") + + assert Map.has_key?(response, :answer) + assert Map.has_key?(response, :resources) + assert Map.has_key?(response, :follow_ups) + + assert String.contains?(response.answer, "recursion") || + String.contains?(response.answer, "Recursion") + end + + test "provides different modes of explanation" do + question = "What is tail recursion?" + + {:ok, explain} = StudyBuddyAgent.ask(question, mode: :explain) + {:ok, socratic} = StudyBuddyAgent.ask(question, mode: :socratic) + {:ok, example} = StudyBuddyAgent.ask(question, mode: :example) + + # Each mode should have an answer + assert explain.answer + assert socratic.answer + assert example.answer + end + + test "suggests relevant resources" do + {:ok, response} = StudyBuddyAgent.ask("How do I use pattern matching?") + + assert length(response.resources) > 0 + + # Should mention Livebook + assert Enum.any?(response.resources, &String.contains?(&1, "Livebook")) + end + + test "provides follow-up suggestions" do + {:ok, response} = StudyBuddyAgent.ask("What is recursion?") + + assert length(response.follow_ups) > 0 + end + + test "extracts concepts from questions" do + {:ok, response} = StudyBuddyAgent.ask("How does GenServer work?") + + assert :genserver in response.concepts + end + end + + describe "ProgressCoachAgent" do + test "analyzes progress and provides recommendations" do + # Empty progress + {:ok, advice} = ProgressCoachAgent.analyze_progress("test_student", %{}) + + assert Map.has_key?(advice, :recommendations) + assert Map.has_key?(advice, :next_phase) + assert Map.has_key?(advice, :review_areas) + + assert length(advice.recommendations) > 0 + end + + test "suggests next phase when current is nearly complete" do + # Simulate 80%+ completion of phase 1 + progress = %{ + "phase-01-core" => %{ + "checkpoint-01" => true, + "checkpoint-02" => true, + "checkpoint-03" => true, + "checkpoint-04" => true, + "checkpoint-05" => true, + "checkpoint-06" => true + } + } + + {:ok, advice} = ProgressCoachAgent.analyze_progress("test_student", progress) + + # Should suggest progressing + assert Enum.any?(advice.recommendations, fn rec -> + rec.type == :progress + end) + end + + test "identifies review areas for incomplete phases" do + # Simulate partial completion + progress = %{ + "phase-01-core" => %{ + "checkpoint-01" => true, + "checkpoint-02" => true + } + } + + {:ok, advice} = ProgressCoachAgent.analyze_progress("test_student", progress) + + # Should have valid structure + assert is_list(advice.review_areas) + end + + test "celebrates completed phases as strengths" do + progress = %{ + "phase-01-core" => %{ + "checkpoint-01" => true, + "checkpoint-02" => true, + "checkpoint-03" => true, + "checkpoint-04" => true, + "checkpoint-05" => true, + "checkpoint-06" => true, + "checkpoint-07" => true + } + } + + {:ok, advice} = ProgressCoachAgent.analyze_progress("test_student", progress) + + assert length(advice.strengths) > 0 + assert "Elixir fundamentals" in advice.strengths + end + + test "provides time estimates for next phase" do + {:ok, advice} = ProgressCoachAgent.analyze_progress("test_student", %{}) + + assert Map.has_key?(advice.estimated_time_to_next, :estimate_days) + assert Map.has_key?(advice.estimated_time_to_next, :estimate_hours) + assert Map.has_key?(advice.estimated_time_to_next, :confidence) + end + end +end diff --git a/apps/labs_jido_agent/test/test_helper.exs b/apps/labs_jido_agent/test/test_helper.exs new file mode 100644 index 0000000..869559e --- /dev/null +++ b/apps/labs_jido_agent/test/test_helper.exs @@ -0,0 +1 @@ +ExUnit.start() diff --git a/apps/labs_jido_agent/test_llm.exs b/apps/labs_jido_agent/test_llm.exs new file mode 100644 index 0000000..9796b48 --- /dev/null +++ b/apps/labs_jido_agent/test_llm.exs @@ -0,0 +1,89 @@ +#!/usr/bin/env elixir + +# Quick LLM integration test script +# Usage: +# export OPENAI_API_KEY=sk-... +# mix run test_llm.exs + +IO.puts("\n=== LLM Integration Test ===\n") + +# Check if LLM is available +IO.puts("1. Checking LLM availability...") +available = LabsJidoAgent.LLM.available?() +provider = LabsJidoAgent.LLM.provider() +IO.puts(" LLM Available: #{available}") +IO.puts(" Provider: #{provider}") + +if not available do + IO.puts("\n❌ No API key found. Set one of:") + IO.puts(" export OPENAI_API_KEY=sk-...") + IO.puts(" export ANTHROPIC_API_KEY=sk-ant-...") + IO.puts(" export GEMINI_API_KEY=...") + System.halt(1) +end + +IO.puts("\n2. Testing Code Review with LLM...") +code = """ +defmodule Example do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) +end +""" + +case LabsJidoAgent.CodeReviewAgent.review(code, phase: 1, use_llm: true) do + {:ok, feedback} -> + IO.puts(" βœ“ Code review successful!") + IO.puts(" LLM Powered: #{feedback.llm_powered}") + IO.puts(" Score: #{feedback.score}/100") + IO.puts(" Issues found: #{length(feedback.issues)}") + if length(feedback.issues) > 0 do + IO.puts("\n First issue:") + issue = List.first(feedback.issues) + message = Map.get(issue, "message") || Map.get(issue, :message) + suggestion = Map.get(issue, "suggestion") || Map.get(issue, :suggestion) + IO.puts(" - #{message}") + IO.puts(" - Suggestion: #{suggestion}") + end + + {:error, reason} -> + IO.puts(" ❌ Code review failed: #{inspect(reason)}") +end + +IO.puts("\n3. Testing Study Buddy with LLM...") +case LabsJidoAgent.StudyBuddyAgent.ask("What is tail recursion?", phase: 1, use_llm: true) do + {:ok, response} -> + IO.puts(" βœ“ Study buddy successful!") + IO.puts(" LLM Powered: #{response.llm_powered}") + IO.puts(" Answer length: #{String.length(response.answer)} chars") + IO.puts(" Concepts: #{inspect(response.concepts)}") + IO.puts("\n Answer preview:") + IO.puts(" #{String.slice(response.answer, 0..200)}...") + + {:error, reason} -> + IO.puts(" ❌ Study buddy failed: #{inspect(reason)}") +end + +IO.puts("\n4. Testing Progress Coach with LLM...") +progress_data = %{ + "phase-01-core" => %{"basics" => true, "recursion" => true}, + "phase-02-processes" => %{"spawn" => true} +} + +case LabsJidoAgent.ProgressCoachAgent.analyze_progress("test_student", progress_data, use_llm: true) do + {:ok, advice} -> + IO.puts(" βœ“ Progress coach successful!") + IO.puts(" LLM Powered: #{advice.llm_powered}") + IO.puts(" Recommendations: #{length(advice.recommendations)}") + IO.puts(" Strengths: #{inspect(advice.strengths)}") + if length(advice.recommendations) > 0 do + IO.puts("\n First recommendation:") + rec = List.first(advice.recommendations) + IO.puts(" - Priority: #{rec.priority}") + IO.puts(" - #{rec.message}") + end + + {:error, reason} -> + IO.puts(" ❌ Progress coach failed: #{inspect(reason)}") +end + +IO.puts("\n=== Test Complete ===\n") diff --git a/devenv.lock b/devenv.lock index 01da8e9..fb5be95 100644 --- a/devenv.lock +++ b/devenv.lock @@ -3,10 +3,10 @@ "devenv": { "locked": { "dir": "src/modules", - "lastModified": 1761596764, + "lastModified": 1762706931, "owner": "cachix", "repo": "devenv", - "rev": "17560d064ba5e4fc946c0ea0ee7b31ec291e706f", + "rev": "9a8147b9345ecbb1321890ce7603df1507b1125d", "type": "github" }, "original": { @@ -40,10 +40,10 @@ ] }, "locked": { - "lastModified": 1760663237, + "lastModified": 1762441963, "owner": "cachix", "repo": "git-hooks.nix", - "rev": "ca5b894d3e3e151ffc1db040b6ce4dcc75d31c37", + "rev": "8e7576e79b88c16d7ee3bbd112c8d90070832885", "type": "github" }, "original": { diff --git a/devenv.nix b/devenv.nix index 00518ed..f8ed88e 100644 --- a/devenv.nix +++ b/devenv.nix @@ -2,13 +2,16 @@ # Phoenix development environment with devenv packages = with pkgs; [ - # Elixir & Erlang - elixir_1_17 - erlang_27 + # Elixir & Erlang (using beam packages for compatibility) + beam.packages.erlang_27.elixir + beam.packages.erlang_27.erlang # Language server for Emacs LSP elixir-ls + # Livebook for interactive notebooks + beam.packages.erlang_27.livebook + # Node.js for Phoenix assets nodejs diff --git a/lib/livebook_extensions/jido_assistant.ex b/lib/livebook_extensions/jido_assistant.ex new file mode 100644 index 0000000..541eed5 --- /dev/null +++ b/lib/livebook_extensions/jido_assistant.ex @@ -0,0 +1,190 @@ +defmodule LivebookExtensions.JidoAssistant do + @moduledoc """ + A Livebook Smart Cell for interactive AI assistance while learning. + + ⚠️ **UI NOT IMPLEMENTED** + This Smart Cell currently lacks UI rendering (`handle_ui/2` callback). + It generates working code but the form interface is not implemented. + + **Workaround:** Use the Mix task instead: `mix jido.ask "Your question here"` + + ## Features (code generation works) + + - Ask questions about Elixir concepts + - Get explanations, examples, or Socratic guidance + - Automatically detects current phase from progress + - Displays resources and follow-up suggestions + - Interactive Q&A right in your notebook + + ## Usage + + 1. Add this smart cell to any Livebook + 2. Type your question + 3. Select response mode (explain, socratic, example) + 4. Click "Ask Jido" + 5. Get instant help! + """ + + use Kino.SmartCell, name: "Jido Assistant" + + @impl true + def init(_attrs, ctx) do + fields = %{ + question: "", + mode: "explain", + phase: detect_current_phase() + } + + {:ok, fields, ctx} + end + + @impl true + def handle_connect(ctx) do + {:ok, ctx.assigns, ctx} + end + + @impl true + def handle_event("update_question", %{"question" => question}, ctx) do + ctx = update(ctx, :question, fn _ -> question end) + broadcast_update(ctx, ctx.assigns) + {:noreply, ctx} + end + + @impl true + def handle_event("update_mode", %{"mode" => mode}, ctx) do + ctx = update(ctx, :mode, fn _ -> mode end) + broadcast_update(ctx, ctx.assigns) + {:noreply, ctx} + end + + @impl true + def handle_event("update_phase", %{"phase" => phase}, ctx) do + phase_int = String.to_integer(phase) + ctx = update(ctx, :phase, fn _ -> phase_int end) + broadcast_update(ctx, ctx.assigns) + {:noreply, ctx} + end + + @impl true + def to_attrs(ctx) do + ctx.assigns + end + + @impl true + def to_source(attrs) do + question = attrs.question || "" + mode = String.to_atom(attrs.mode || "explain") + phase = attrs.phase || 1 + + if question == "" do + """ + Kino.Markdown.new("ℹ️ **Please enter a question above and re-evaluate this cell.**") + """ + else + """ + # Ask Jido Study Buddy Agent + question = \"\"\"#{question}\"\"\" + case LabsJidoAgent.StudyBuddyAgent.ask(question, phase: #{phase}, mode: :#{mode}) do + {:ok, response} -> + # Display answer + answer_md = Kino.Markdown.new(\"\"\" + ## πŸ’‘ Answer + + \#{response.answer} + \"\"\") + + Kino.render(answer_md) + + # Display resources if available + if length(response.resources) > 0 do + resources_text = Enum.map_join(response.resources, "\\n", fn r -> "- \#{r}" end) + + resources_md = Kino.Markdown.new(\"\"\" + --- + + ## πŸ“– Resources + + \#{resources_text} + \"\"\") + + Kino.render(resources_md) + end + + # Display follow-ups if available + if length(response.follow_ups) > 0 do + follow_ups_text = Enum.map_join(response.follow_ups, "\\n", fn f -> "- \#{f}" end) + + follow_ups_md = Kino.Markdown.new(\"\"\" + --- + + ## πŸ”— Next Steps + + \#{follow_ups_text} + \"\"\") + + Kino.render(follow_ups_md) + end + + :ok + + {:error, reason} -> + Kino.Markdown.new("❌ **Error:** \#{inspect(reason)}") + end + """ + end + end + + defp detect_current_phase do + progress_file = "livebooks/.progress.json" + + case File.read(progress_file) do + {:ok, content} -> + progress = Jason.decode!(content) + find_current_phase_from_progress(progress) + + {:error, _} -> + 1 + end + end + + defp find_current_phase_from_progress(progress) do + phases = [ + "phase-01-core", + "phase-02-processes", + "phase-03-genserver", + "phase-04-naming", + "phase-05-data", + "phase-06-phoenix", + "phase-07-jobs", + "phase-08-caching", + "phase-09-distribution", + "phase-10-observability", + "phase-11-testing", + "phase-12-delivery", + "phase-13-capstone", + "phase-14-cto", + "phase-15-ai" + ] + + Enum.find_index(phases, fn phase -> + phase_data = Map.get(progress, phase, %{}) + total = 5 + completed = Enum.count(Map.values(phase_data), & &1) + completed < total + end) + |> case do + nil -> 1 + idx -> idx + 1 + end + end + + defp update(ctx, key, fun) do + Map.update!(ctx, :assigns, fn assigns -> + Map.update!(assigns, key, fun) + end) + end + + defp broadcast_update(ctx, assigns) do + send(ctx.origin, {:broadcast_update, assigns}) + end +end diff --git a/lib/mix/tasks/jido.ask.ex b/lib/mix/tasks/jido.ask.ex new file mode 100644 index 0000000..941db99 --- /dev/null +++ b/lib/mix/tasks/jido.ask.ex @@ -0,0 +1,190 @@ +defmodule Mix.Tasks.Jido.Ask do + @moduledoc """ + Ask Jido Study Buddy Agent questions about Elixir concepts. + + Interactive Q&A for learning Elixir. Provides explanations, examples, + and resources tailored to your current learning phase. + + ## Usage + + # Ask a question + mix jido.ask "What is tail recursion?" + + # Ask with specific phase context + mix jido.ask "How do I use GenServer?" --phase 3 + + # Get Socratic-style guidance + mix jido.ask "What is pattern matching?" --mode socratic + + # Get code examples + mix jido.ask "How do I implement map?" --mode example + + ## Options + + * `--phase` or `-p` - Current learning phase (1-15), default: 1 + * `--mode` or `-m` - Response mode: explain, socratic, or example (default: explain) + + ## Response Modes + + * `explain` - Direct explanation with theory and examples + * `socratic` - Guides learning through questions + * `example` - Provides runnable code examples + + ## Examples + + # Basic question + mix jido.ask "What is recursion?" + + # Phase-specific question + mix jido.ask "How do supervision trees work?" --phase 3 + + # Socratic method for deeper understanding + mix jido.ask "What is tail recursion?" --mode socratic + + # Get practical examples + mix jido.ask "How do I use Enum vs Stream?" --mode example + """ + + use Mix.Task + + @shortdoc "Ask questions about Elixir concepts" + + @impl Mix.Task + def run(args) do + Mix.Task.run("app.start") + + {opts, [question | _], _} = + OptionParser.parse(args, + switches: [ + phase: :integer, + mode: :string + ], + aliases: [ + p: :phase, + m: :mode + ] + ) + + if !question || question == "" do + Mix.shell().error("Please provide a question") + Mix.shell().info("") + Mix.shell().info("Usage: mix jido.ask \"What is tail recursion?\"") + Mix.shell().info("") + Mix.shell().info("Examples:") + Mix.shell().info(" mix jido.ask \"What is pattern matching?\"") + Mix.shell().info(" mix jido.ask \"How do I use GenServer?\" --phase 3") + Mix.shell().info(" mix jido.ask \"What is recursion?\" --mode socratic") + System.halt(1) + end + + phase = Keyword.get(opts, :phase, detect_current_phase()) + mode = parse_mode(Keyword.get(opts, :mode, "explain")) + + Mix.shell().info("") + Mix.shell().info("πŸ€– Jido Study Buddy") + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("") + Mix.shell().info(["πŸ“š Question: ", :bright, question, :reset]) + Mix.shell().info("Phase: #{phase} | Mode: #{mode}") + Mix.shell().info("") + + # Ask the Study Buddy Agent + case LabsJidoAgent.StudyBuddyAgent.ask(question, phase: phase, mode: mode) do + {:ok, response} -> + display_response(response, mode) + + {:error, reason} -> + Mix.shell().error("Error: #{inspect(reason)}") + System.halt(1) + end + end + + defp detect_current_phase do + # Read .progress.json to determine current phase + progress_file = "livebooks/.progress.json" + + case File.read(progress_file) do + {:ok, content} -> + progress = Jason.decode!(content) + find_current_phase_from_progress(progress) + + {:error, _} -> + 1 + end + end + + defp find_current_phase_from_progress(progress) do + phases = [ + "phase-01-core", + "phase-02-processes", + "phase-03-genserver", + "phase-04-naming", + "phase-05-data", + "phase-06-phoenix", + "phase-07-jobs", + "phase-08-caching", + "phase-09-distribution", + "phase-10-observability", + "phase-11-testing", + "phase-12-delivery", + "phase-13-capstone", + "phase-14-cto", + "phase-15-ai" + ] + + Enum.find_index(phases, fn phase -> + phase_data = Map.get(progress, phase, %{}) + total = 5 + # Simplified for now + completed = Enum.count(Map.values(phase_data), & &1) + completed < total + end) + |> case do + nil -> 1 + idx -> idx + 1 + end + end + + defp parse_mode("explain"), do: :explain + defp parse_mode("socratic"), do: :socratic + defp parse_mode("example"), do: :example + defp parse_mode(_), do: :explain + + defp display_response(response, _mode) do + # Display answer + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info(["πŸ’‘ ", :bright, "Answer", :reset]) + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("") + Mix.shell().info(response.answer) + Mix.shell().info("") + + # Display resources + if length(response.resources) > 0 do + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info(["πŸ“– ", :bright, "Resources", :reset]) + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("") + + Enum.each(response.resources, fn resource -> + Mix.shell().info(" β€’ #{resource}") + end) + + Mix.shell().info("") + end + + # Display follow-ups + if length(response.follow_ups) > 0 do + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info(["πŸ”— ", :bright, "Next Steps", :reset]) + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("") + + Enum.each(response.follow_ups, fn follow_up -> + Mix.shell().info(" β€’ #{follow_up}") + end) + + Mix.shell().info("") + end + end +end diff --git a/lib/mix/tasks/jido.grade.ex b/lib/mix/tasks/jido.grade.ex new file mode 100644 index 0000000..8b071c4 --- /dev/null +++ b/lib/mix/tasks/jido.grade.ex @@ -0,0 +1,371 @@ +defmodule Mix.Tasks.Jido.Grade do + @moduledoc """ + Grades student code using Jido Code Review Agent. + + Analyzes code quality, idiomatic patterns, test coverage, and provides + constructive feedback for improvement. + + ## Usage + + # Grade current directory (auto-detect phase from checkpoint completion) + mix jido.grade + + # Grade specific phase + mix jido.grade --phase 1 + + # Grade specific app + mix jido.grade --app labs_csv_stats + + # Interactive mode with detailed feedback + mix jido.grade --interactive + + # Focus on specific aspects + mix jido.grade --focus performance + mix jido.grade --focus idioms + + ## Options + + * `--phase` - Learning phase number (1-15), default: auto-detect + * `--app` - Specific app to grade (e.g., labs_csv_stats) + * `--interactive` - Show detailed feedback interactively + * `--focus` - Review focus: quality, performance, idioms, or all (default: all) + * `--threshold` - Minimum score to pass (default: 70) + + ## Examples + + # Grade Phase 1 code + mix jido.grade --phase 1 + + # Grade with high threshold + mix jido.grade --phase 1 --threshold 90 + + # Interactive grading for specific app + mix jido.grade --app labs_csv_stats --interactive + """ + + use Mix.Task + + @shortdoc "Grades student code using AI code review" + + @impl Mix.Task + def run(args) do + Mix.Task.run("app.start") + + {opts, _, _} = + OptionParser.parse(args, + switches: [ + phase: :integer, + app: :string, + interactive: :boolean, + focus: :string, + threshold: :integer + ], + aliases: [ + p: :phase, + a: :app, + i: :interactive, + f: :focus, + t: :threshold + ] + ) + + phase = Keyword.get(opts, :phase, detect_current_phase()) + app = Keyword.get(opts, :app) + interactive = Keyword.get(opts, :interactive, false) + focus = parse_focus(Keyword.get(opts, :focus, "all")) + threshold = Keyword.get(opts, :threshold, 70) + + Mix.shell().info("πŸ€– Jido Code Grader") + Mix.shell().info("Phase: #{phase}") + Mix.shell().info("Threshold: #{threshold}") + Mix.shell().info("") + + # Determine what to grade + files_to_grade = + if app do + get_app_files(app) + else + get_phase_files(phase) + end + + if files_to_grade == [] do + Mix.shell().error("No files found to grade") + Mix.shell().info("Hint: Make sure you're in the repository root or specify --app") + System.halt(1) + end + + Mix.shell().info("Found #{length(files_to_grade)} files to review") + Mix.shell().info("") + + # Grade each file + results = + Enum.map(files_to_grade, fn file -> + grade_file(file, phase, focus, interactive) + end) + + # Calculate overall score + overall_score = calculate_overall_score(results) + + # Display results + display_results(results, overall_score, threshold, interactive) + + # Exit with appropriate code + if overall_score >= threshold do + Mix.shell().info("") + Mix.shell().info("βœ… PASSED - Score: #{overall_score}/100") + System.halt(0) + else + Mix.shell().error("") + Mix.shell().error("❌ FAILED - Score: #{overall_score}/100 (threshold: #{threshold})") + Mix.shell().info("") + Mix.shell().info("Review the feedback above and improve your code.") + System.halt(1) + end + end + + defp detect_current_phase do + # Read .progress.json to determine current phase + progress_file = "livebooks/.progress.json" + + case File.read(progress_file) do + {:ok, content} -> + progress = Jason.decode!(content) + + # Find first incomplete phase + phases = get_all_phases() + + Enum.find_index(phases, fn phase -> + phase_data = Map.get(progress, phase, %{}) + total = get_checkpoint_count(phase) + completed = Enum.count(Map.values(phase_data), & &1) + completed < total + end) + |> case do + nil -> 1 + idx -> idx + 1 + end + + {:error, _} -> + 1 + end + end + + defp get_all_phases do + [ + "phase-01-core", + "phase-02-processes", + "phase-03-genserver", + "phase-04-naming", + "phase-05-data", + "phase-06-phoenix", + "phase-07-jobs", + "phase-08-caching", + "phase-09-distribution", + "phase-10-observability", + "phase-11-testing", + "phase-12-delivery", + "phase-13-capstone", + "phase-14-cto", + "phase-15-ai" + ] + end + + defp get_checkpoint_count("phase-01-core"), do: 7 + defp get_checkpoint_count(_), do: 5 + + defp parse_focus("quality"), do: :quality + defp parse_focus("performance"), do: :performance + defp parse_focus("idioms"), do: :idioms + defp parse_focus(_), do: :all + + defp get_app_files(app_name) do + app_path = Path.join("apps", app_name) + + if File.dir?(app_path) do + Path.wildcard(Path.join([app_path, "lib", "**", "*.ex"])) + else + [] + end + end + + defp get_phase_files(phase) do + case phase_to_app_name(phase) do + nil -> + Mix.shell().info("No specific app for phase #{phase}, scanning all labs apps...") + Path.wildcard("apps/labs_*/lib/**/*.ex") + + app_name -> + get_app_files(app_name) + end + end + + defp phase_to_app_name(1), do: "labs_csv_stats" + defp phase_to_app_name(2), do: "labs_mailbox_kv" + defp phase_to_app_name(3), do: "labs_counter_ttl" + defp phase_to_app_name(4), do: "labs_session_workers" + defp phase_to_app_name(5), do: "labs_inventory" + defp phase_to_app_name(6), do: "labs_cart_api" + defp phase_to_app_name(7), do: "labs_job_queue" + defp phase_to_app_name(8), do: "labs_cache" + defp phase_to_app_name(9), do: "labs_cluster" + defp phase_to_app_name(10), do: "labs_metrics" + defp phase_to_app_name(11), do: "labs_integration_tests" + defp phase_to_app_name(12), do: "labs_deployment" + defp phase_to_app_name(13), do: "labs_capstone" + defp phase_to_app_name(14), do: "labs_architecture" + defp phase_to_app_name(15), do: "labs_jido_agent" + defp phase_to_app_name(_), do: nil + + defp grade_file(file_path, phase, focus, interactive) do + Mix.shell().info("πŸ“ Reviewing: #{Path.relative_to_cwd(file_path)}") + + case File.read(file_path) do + {:error, reason} -> + Mix.shell().error(" Error reading file: #{inspect(reason)}") + %{file: file_path, score: 0, feedback: nil, passed: false, error: :unreadable} + + {:ok, ""} -> + Mix.shell().error(" Skipping empty file") + %{file: file_path, score: 0, feedback: nil, passed: false, error: :empty} + + {:ok, code} -> + grade_file_content(code, file_path, phase, focus, interactive) + end + end + + defp grade_file_content(code, file_path, phase, focus, interactive) do + # Use Code Review Agent + result = + case LabsJidoAgent.CodeReviewAgent.review(code, phase: phase, focus: focus) do + {:ok, feedback} -> + %{ + file: file_path, + score: feedback.score, + feedback: feedback, + passed: feedback.score >= 70 + } + + {:error, reason} -> + Mix.shell().error(" Error: #{inspect(reason)}") + + %{ + file: file_path, + score: 0, + feedback: nil, + passed: false, + error: reason + } + end + + # Display feedback if interactive + if interactive && result.feedback do + display_file_feedback(result) + else + status_icon = if result.passed, do: "βœ…", else: "⚠️ " + Mix.shell().info(" #{status_icon} Score: #{result.score}/100") + + if length(result.feedback.issues) > 0 do + Mix.shell().info(" Issues found: #{length(result.feedback.issues)}") + end + end + + Mix.shell().info("") + result + end + + defp display_file_feedback(result) do + feedback = result.feedback + + Mix.shell().info(" Score: #{feedback.score}/100") + Mix.shell().info("") + + display_issues(feedback.issues) + display_suggestions(feedback.suggestions) + end + + defp display_issues([]), do: :ok + + defp display_issues(issues) do + Mix.shell().info(" Issues:") + Enum.each(issues, &display_single_issue/1) + end + + defp display_single_issue(issue) do + severity_color = severity_to_color(issue.severity) + + Mix.shell().info([ + " ", + severity_color, + "#{String.upcase(to_string(issue.severity))}", + :reset, + " [#{issue.type}] Line #{issue.line || "?"}" + ]) + + Mix.shell().info(" #{issue.message}") + + if issue.suggestion do + Mix.shell().info([" ", :green, "πŸ’‘ #{issue.suggestion}", :reset]) + end + + Mix.shell().info("") + end + + defp severity_to_color(:critical), do: :red + defp severity_to_color(:high), do: :red + defp severity_to_color(:medium), do: :yellow + defp severity_to_color(:low), do: :cyan + defp severity_to_color(_), do: :normal + + defp display_suggestions([]), do: :ok + + defp display_suggestions(suggestions) do + Mix.shell().info(" Suggestions:") + Enum.each(suggestions, &display_single_suggestion/1) + Mix.shell().info("") + end + + defp display_single_suggestion(suggestion) do + Mix.shell().info(" β€’ #{suggestion.suggestion}") + + if length(suggestion.resources) > 0 do + Mix.shell().info(" Resources: #{Enum.join(suggestion.resources, ", ")}") + end + end + + defp calculate_overall_score(results) do + scores = Enum.map(results, & &1.score) + total = Enum.sum(scores) + count = length(scores) + + if count > 0, do: div(total, count), else: 0 + end + + defp display_results(results, overall_score, threshold, false = _interactive) do + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("Results Summary") + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + + passed = Enum.count(results, & &1.passed) + total = length(results) + + Mix.shell().info("Files reviewed: #{total}") + Mix.shell().info("Files passed: #{passed}/#{total}") + Mix.shell().info("Overall score: #{overall_score}/100") + + total_issues = + results + |> Enum.map(fn r -> if r.feedback, do: length(r.feedback.issues), else: 0 end) + |> Enum.sum() + + if total_issues > 0 do + Mix.shell().info("Total issues: #{total_issues}") + Mix.shell().info("") + Mix.shell().info("Run with --interactive for detailed feedback") + end + end + + defp display_results(_results, _overall_score, _threshold, true = _interactive) do + # Already displayed inline + :ok + end +end diff --git a/lib/mix/tasks/jido.scaffold.ex b/lib/mix/tasks/jido.scaffold.ex new file mode 100644 index 0000000..2a0003c --- /dev/null +++ b/lib/mix/tasks/jido.scaffold.ex @@ -0,0 +1,536 @@ +defmodule Mix.Tasks.Jido.Scaffold do + @moduledoc """ + Scaffolds a new lab project with best practices for learning. + + Generates project structure following Elixir Systems Mastery patterns, + including proper supervision trees, test stubs, and documentation templates. + + ## Usage + + # Basic GenServer project + mix jido.scaffold --type genserver --name UserCache --phase 3 + + # With features + mix jido.scaffold --type genserver --name SessionStore --phase 4 --features ttl,persistence + + # Process-based project + mix jido.scaffold --type process --name Counter --phase 2 + + # Supervised worker pool + mix jido.scaffold --type worker_pool --name TaskRunner --phase 4 + + ## Options + + * `--type` - Project type: genserver, process, worker_pool, phoenix_live, ecto_schema + * `--name` - Module name (e.g., UserCache, SessionStore) + * `--phase` - Learning phase (1-15) + * `--features` - Comma-separated features (e.g., ttl,persistence,telemetry) + + ## Project Types + + * `genserver` - GenServer with supervision (Phase 3+) + * `process` - Basic process with message passing (Phase 2+) + * `worker_pool` - DynamicSupervisor worker pool (Phase 4+) + * `phoenix_live` - LiveView component (Phase 6+) + * `ecto_schema` - Ecto schema with changesets (Phase 5+) + + ## Features + + * `ttl` - Time-to-live expiration + * `persistence` - Data persistence (ETS, file, or DB) + * `telemetry` - OpenTelemetry instrumentation + * `property_tests` - StreamData property tests + * `benchmarks` - Benchee performance tests + + ## Examples + + # Simple GenServer for Phase 3 + mix jido.scaffold --type genserver --name Counter --phase 3 + + # GenServer with TTL for Phase 3 labs + mix jido.scaffold --type genserver --name CacheTTL --phase 3 --features ttl + + # Worker pool with telemetry for Phase 4 + mix jido.scaffold --type worker_pool --name JobRunner --phase 4 --features telemetry + + # Ecto schema with validations for Phase 5 + mix jido.scaffold --type ecto_schema --name User --phase 5 --features validations + """ + + use Mix.Task + + @shortdoc "Scaffolds a new lab project" + + @impl Mix.Task + def run(args) do + {opts, _, _} = + OptionParser.parse(args, + switches: [ + type: :string, + name: :string, + phase: :integer, + features: :string + ], + aliases: [ + t: :type, + n: :name, + p: :phase, + f: :features + ] + ) + + type = parse_type(Keyword.get(opts, :type)) + name = Keyword.get(opts, :name) + phase = Keyword.get(opts, :phase, 1) + features = parse_features(Keyword.get(opts, :features, "")) + + if !type || !name do + show_usage() + System.halt(1) + end + + Mix.shell().info("") + Mix.shell().info("πŸ—οΈ Jido Project Scaffolder") + Mix.shell().info("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━") + Mix.shell().info("") + Mix.shell().info("Type: #{type}") + Mix.shell().info("Name: #{name}") + Mix.shell().info("Phase: #{phase}") + + if features != [] do + Mix.shell().info("Features: #{Enum.join(features, ", ")}") + end + + Mix.shell().info("") + + # Generate project + app_name = "labs_#{Macro.underscore(name)}" + app_path = Path.join("apps", app_name) + + if File.dir?(app_path) do + Mix.shell().error("App already exists: #{app_path}") + System.halt(1) + end + + Mix.shell().info("Creating app: #{app_name}") + + case scaffold_project(type, name, phase, features, app_path) do + :ok -> + Mix.shell().info("") + Mix.shell().info("βœ… Project scaffolded successfully!") + Mix.shell().info("") + Mix.shell().info("Next steps:") + Mix.shell().info(" 1. cd #{app_path}") + Mix.shell().info(" 2. Review generated code") + Mix.shell().info(" 3. Implement TODOs") + Mix.shell().info(" 4. Run tests: mix test") + Mix.shell().info(" 5. Run grader: mix jido.grade --app #{app_name}") + Mix.shell().info("") + + {:error, reason} -> + Mix.shell().error("Failed to scaffold project: #{reason}") + System.halt(1) + end + end + + defp show_usage do + Mix.shell().info("") + Mix.shell().info("Usage: mix jido.scaffold --type TYPE --name NAME --phase PHASE") + Mix.shell().info("") + Mix.shell().info("Examples:") + Mix.shell().info(" mix jido.scaffold --type genserver --name Counter --phase 3") + Mix.shell().info(" mix jido.scaffold --type genserver --name Cache --phase 3 --features ttl") + + Mix.shell().info( + " mix jido.scaffold --type worker_pool --name TaskRunner --phase 4 --features telemetry" + ) + + Mix.shell().info("") + end + + defp parse_type("genserver"), do: :genserver + defp parse_type("process"), do: :process + defp parse_type("worker_pool"), do: :worker_pool + defp parse_type("phoenix_live"), do: :phoenix_live + defp parse_type("ecto_schema"), do: :ecto_schema + defp parse_type(_), do: nil + + defp parse_features(""), do: [] + + defp parse_features(features) do + features + |> String.split(",") + |> Enum.map(&String.trim/1) + |> Enum.map(&String.to_atom/1) + end + + defp scaffold_project(type, name, phase, features, app_path) do + with :ok <- create_directory_structure(app_path), + :ok <- generate_mix_exs(type, name, app_path), + :ok <- generate_application(type, name, features, app_path), + :ok <- generate_main_module(type, name, features, app_path), + :ok <- generate_tests(type, name, features, app_path), + :ok <- generate_readme(type, name, phase, features, app_path) do + {:ok, app_path} + end + end + + defp create_directory_structure(app_path) do + File.mkdir_p!(Path.join(app_path, "lib")) + File.mkdir_p!(Path.join(app_path, "test")) + :ok + end + + defp generate_mix_exs(_type, name, app_path) do + app_name = "labs_#{Macro.underscore(name)}" + module_name = "Labs#{name}" + + content = """ + defmodule #{module_name}.MixProject do + use Mix.Project + + def project do + [ + app: :#{app_name}, + version: "0.1.0", + build_path: "../../_build", + config_path: "../../config/config.exs", + deps_path: "../../deps", + lockfile: "../../mix.lock", + elixir: "~> 1.17", + start_permanent: Mix.env() == :prod, + deps: deps(), + elixirc_paths: elixirc_paths(Mix.env()) + ] + end + + def application do + [ + extra_applications: [:logger], + mod: {#{module_name}.Application, []} + ] + end + + defp elixirc_paths(:test), do: ["lib", "test/support"] + defp elixirc_paths(_), do: ["lib"] + + defp deps do + [ + {:stream_data, "~> 0.6", only: :test}, + {:benchee, "~> 1.3", only: :dev} + ] + end + end + """ + + File.write!(Path.join(app_path, "mix.exs"), content) + :ok + end + + defp generate_application(:genserver, name, _features, app_path) do + module_name = "Labs#{name}" + + content = """ + defmodule #{module_name}.Application do + @moduledoc false + + use Application + + @impl true + def start(_type, _args) do + children = [ + # TODO: Add your GenServer here + # {#{module_name}.Server, name: #{module_name}.Server} + ] + + opts = [strategy: :one_for_one, name: #{module_name}.Supervisor] + Supervisor.start_link(children, opts) + end + end + """ + + File.write!(Path.join([app_path, "lib", "#{Macro.underscore(name)}_application.ex"]), content) + :ok + end + + defp generate_application(_, name, _, app_path) do + module_name = "Labs#{name}" + + content = """ + defmodule #{module_name}.Application do + @moduledoc false + + use Application + + @impl true + def start(_type, _args) do + children = [] + + opts = [strategy: :one_for_one, name: #{module_name}.Supervisor] + Supervisor.start_link(children, opts) + end + end + """ + + File.write!(Path.join([app_path, "lib", "#{Macro.underscore(name)}_application.ex"]), content) + :ok + end + + defp generate_main_module(:genserver, name, features, app_path) do + module_name = "Labs#{name}" + has_ttl = :ttl in features + + content = """ + defmodule #{module_name}.Server do + @moduledoc \"\"\" + A GenServer implementing #{name} functionality. + + ## Features + #{if has_ttl, do: "- TTL (Time-to-live) expiration", else: ""} + + ## Examples + + {:ok, pid} = #{module_name}.Server.start_link([]) + # TODO: Add usage examples + \"\"\" + + use GenServer + + require Logger + + ## Client API + + @doc \"\"\" + Starts the #{name} server. + \"\"\" + def start_link(opts) do + GenServer.start_link(__MODULE__, opts, name: __MODULE__) + end + + # TODO: Add your client API functions here + # Example: + # def get(key) do + # GenServer.call(__MODULE__, {:get, key}) + # end + + ## Server Callbacks + + @impl true + def init(_opts) do + state = %{ + # TODO: Define your initial state + } + + {:ok, state} + end + + @impl true + def handle_call({:get, key}, _from, state) do + # TODO: Implement get logic + {:reply, {:error, :not_implemented}, state} + end + + @impl true + def handle_cast({:put, key, value}, state) do + # TODO: Implement put logic + {:noreply, state} + end + + @impl true + def handle_info(:cleanup, state) do + # TODO: Implement cleanup logic (useful for TTL) + {:noreply, state} + end + + ## Private Functions + + # TODO: Add helper functions here + end + """ + + File.write!(Path.join([app_path, "lib", "#{Macro.underscore(name)}_server.ex"]), content) + :ok + end + + defp generate_main_module(_, name, _, app_path) do + module_name = "Labs#{name}" + + content = """ + defmodule #{module_name} do + @moduledoc \"\"\" + #{name} implementation. + \"\"\" + + # TODO: Implement your module + end + """ + + File.write!(Path.join([app_path, "lib", "#{Macro.underscore(name)}.ex"]), content) + :ok + end + + defp generate_tests(:genserver, name, features, app_path) do + module_name = "Labs#{name}" + has_property_tests = :property_tests in features + + content = """ + defmodule #{module_name}.ServerTest do + use ExUnit.Case + #{if has_property_tests, do: "use ExUnitProperties", else: ""} + + alias #{module_name}.Server + + setup do + {:ok, pid} = Server.start_link([]) + %{server: pid} + end + + test "server starts successfully", %{server: pid} do + assert Process.alive?(pid) + end + + # TODO: Add your tests here + + #{if has_property_tests do + """ + property "property test example" do + check all value <- integer() do + # TODO: Implement property test + assert true + end + end + """ + else + "" + end} + end + """ + + File.write!( + Path.join([app_path, "test", "#{Macro.underscore(name)}_server_test.exs"]), + content + ) + + # test_helper + File.write!(Path.join([app_path, "test", "test_helper.exs"]), "ExUnit.start()\n") + + :ok + end + + defp generate_tests(_, name, _, app_path) do + module_name = "Labs#{name}" + + content = """ + defmodule #{module_name}Test do + use ExUnit.Case + + # TODO: Add your tests here + end + """ + + File.write!(Path.join([app_path, "test", "#{Macro.underscore(name)}_test.exs"]), content) + File.write!(Path.join([app_path, "test", "test_helper.exs"]), "ExUnit.start()\n") + + :ok + end + + defp generate_readme(type, name, phase, features, app_path) do + app_name = "labs_#{Macro.underscore(name)}" + + content = """ + # Labs: #{name} + + **Phase #{phase}** - Generated by Jido Scaffolder + + ## Overview + + #{description_for_type(type)} + + ## Features + + #{if features == [], do: "- Basic implementation", else: Enum.map_join(features, "\n", fn f -> "- #{f}" end)} + + ## Implementation Tasks + + - [ ] Complete TODOs in lib/#{Macro.underscore(name)}.ex + - [ ] Add tests in test/ + - [ ] Implement error handling + - [ ] Add documentation + - [ ] Achieve >90% test coverage + - [ ] Pass dialyzer checks + + ## Running + + \`\`\`bash + # Run tests + mix test + + # Check coverage + mix test --cover + + # Run in IEx + iex -S mix + + # Grade your work + cd ../.. && mix jido.grade --app #{app_name} + \`\`\` + + ## Learning Objectives + + By completing this lab, you will: + + #{learning_objectives_for_type(type, phase)} + + ## Resources + + - Phase #{phase} Livebook + - Phase #{phase} Study Guide + - Official Elixir Documentation + + ## Next Steps + + 1. Implement the core functionality + 2. Add comprehensive tests + 3. Document your code + 4. Run the grader + 5. Move to next checkpoint + """ + + File.write!(Path.join(app_path, "README.md"), content) + :ok + end + + defp description_for_type(:genserver) do + "A GenServer-based application demonstrating stateful processes and supervision." + end + + defp description_for_type(:process) do + "A process-based application demonstrating message passing and concurrency." + end + + defp description_for_type(:worker_pool) do + "A worker pool using DynamicSupervisor for dynamic process management." + end + + defp description_for_type(_), do: "An Elixir application for learning." + + defp learning_objectives_for_type(:genserver, _phase) do + """ + - Understand GenServer callbacks (init, handle_call, handle_cast, handle_info) + - Implement stateful processes + - Handle synchronous and asynchronous messages + - Integrate with supervision trees + """ + end + + defp learning_objectives_for_type(:process, _phase) do + """ + - Spawn and manage processes + - Send and receive messages + - Handle process crashes + - Understand process isolation + """ + end + + defp learning_objectives_for_type(_, _), do: "- Master the concepts for this phase" +end diff --git a/livebooks/dashboard.livemd b/livebooks/dashboard.livemd index 91446d1..9105ca8 100644 --- a/livebooks/dashboard.livemd +++ b/livebooks/dashboard.livemd @@ -6,6 +6,8 @@ Track your progress through all 15 phases of Elixir Systems Mastery. + + ## Setup ```elixir @@ -160,8 +162,6 @@ Vl.new(width: 600, height: 400, title: "Learning Progress by Phase") ## Phase Details - - ### Phase 1: Elixir Core **Status:** Available Now @@ -190,8 +190,6 @@ end) """) ``` - - ### Phase 2-15: Coming Soon More phases will be available as you progress through the curriculum. diff --git a/livebooks/dialyzer_debugger.livemd b/livebooks/dialyzer_debugger.livemd new file mode 100644 index 0000000..af97be6 --- /dev/null +++ b/livebooks/dialyzer_debugger.livemd @@ -0,0 +1,392 @@ +# Dialyzer Error Debugger + +```elixir +Mix.install([ + {:kino, "~> 0.12"}, + {:kino_vega_lite, "~> 0.1"}, + {:jason, "~> 1.4"} +]) +``` + +## Introduction + +This Livebook helps us systematically work through all Dialyzer errors in the project. + +**Integration with Mix Task:** + +* This Livebook loads data from `dialyzer_reports/dialyzer_status.json` +* Run `mix dialyzer.analyze` to generate/update the tracker +* Changes made here can be saved back to the tracker file + +## Load Data + +````elixir +# Change to project directory +project_dir = "/home/chops/src/elixir-phoenix" +File.cd!(project_dir) + +tracker_file = Path.join(project_dir, "dialyzer_reports/dialyzer_status.json") + +# Load existing tracker or run analysis +tracker = case File.read(tracker_file) do + {:ok, content} -> + Jason.decode!(content, keys: :atoms) + {:error, _} -> + Kino.Markdown.new(""" + ⚠️ **No tracker file found!** + + Run this first: + ```bash + mix dialyzer.analyze + ``` + """) |> Kino.render() + + %{errors: [], last_run: nil, total_count: 0, status_counts: %{new: 0, investigated: 0, fixed: 0}} +end + +errors = tracker[:errors] || [] + +Kino.Markdown.new(""" +## Loaded Tracker Data + +**Last Run:** #{tracker[:last_run] || "Never"} +**Total Errors:** #{tracker[:total_count]} + +**Status Breakdown:** +- πŸ†• New: #{tracker[:status_counts][:new] || 0} +- πŸ” Investigated: #{tracker[:status_counts][:investigated] || 0} +- βœ… Fixed: #{tracker[:status_counts][:fixed] || 0} +""") +```` + +```elixir +# UI for marking errors +mark_input = Kino.Input.text("Error IDs to mark (comma-separated)") +status_input = Kino.Input.select("Status", [ + {"New", :new}, + {"Investigated", :investigated}, + {"Fixed", :fixed} +]) +mark_button = Kino.Control.button("Mark Errors") + +Kino.Layout.grid([mark_input, status_input, mark_button], columns: 3) +``` + +```elixir +# Handle marking +Kino.listen(mark_button, fn _event -> + ids_str = Kino.Input.read(mark_input) + status = Kino.Input.read(status_input) + + if ids_str != "" do + ids = ids_str + |> String.split(",") + |> Enum.map(&String.trim/1) + |> Enum.map(&String.to_integer/1) + + # Update tracker + updated_tracker = %{tracker | + errors: Enum.map(tracker.errors, fn error -> + if error.id in ids do + Map.put(error, :status, status) + else + error + end + end) + } + + # Recalculate status counts + status_counts = updated_tracker.errors + |> Enum.group_by(& &1.status) + |> Map.new(fn {s, errs} -> {s, length(errs)} end) + |> Map.put_new(:new, 0) + |> Map.put_new(:investigated, 0) + |> Map.put_new(:fixed, 0) + + updated_tracker = Map.put(updated_tracker, :status_counts, status_counts) + + # Save tracker + File.write!(tracker_file, Jason.encode!(updated_tracker, pretty: true)) + + Kino.Markdown.new(""" + βœ… **Updated #{length(ids)} errors to status: #{status}** + + Re-evaluate the "Load Data" cell to see changes. + """) |> Kino.render() + else + Kino.Markdown.new("❌ Please enter error IDs") |> Kino.render() + end +end) + +Kino.nothing() +``` + +```elixir +# Group by error type +by_type = Enum.group_by(errors, & &1.type) + +type_data = by_type +|> Enum.map(fn {type, errs} -> + %{type: type, count: length(errs)} +end) +|> Enum.sort_by(& &1.count, :desc) + +VegaLite.new(width: 600, height: 300, title: "Errors by Type") +|> VegaLite.data_from_values(type_data) +|> VegaLite.mark(:bar) +|> VegaLite.encode_field(:x, "type", type: :nominal, title: "Error Type") +|> VegaLite.encode_field(:y, "count", type: :quantitative, title: "Count") +``` + +```elixir +# Group by file +by_file = Enum.group_by(errors, & &1.file) + +file_data = by_file +|> Enum.map(fn {file, errs} -> + %{file: Path.basename(file), count: length(errs), location: hd(errs).location} +end) +|> Enum.sort_by(& &1.count, :desc) + +VegaLite.new(width: 600, height: 400, title: "Errors by File") +|> VegaLite.data_from_values(file_data) +|> VegaLite.mark(:bar) +|> VegaLite.encode_field(:x, "file", type: :nominal, title: "File") +|> VegaLite.encode_field(:y, "count", type: :quantitative, title: "Count") +|> VegaLite.encode_field(:color, "location", type: :nominal, + scale: %{"range" => ["#e74c3c", "#3498db", "#95a5a6"]}) +``` + +```elixir +# Create a filterable table of errors +error_table_data = errors +|> Enum.with_index(1) +|> Enum.map(fn {error, idx} -> + %{ + "#" => idx, + "Type" => error.type, + "File" => Path.basename(error.file), + "Line" => error.line, + "Location" => error.location, + "Agent" => error.agent || "N/A" + } +end) + +Kino.DataTable.new(error_table_data, name: "All Dialyzer Errors") +``` + +```elixir +# Select an error to inspect +error_selector = Kino.Input.select( + "Select error to inspect:", + errors + |> Enum.with_index(1) + |> Enum.map(fn {err, idx} -> + {"##{idx}: #{Path.basename(err.file)}:#{err.line} (#{err.type})", idx - 1} + end) +) +``` + +````elixir +selected_value = Kino.Input.read(error_selector) + +# Handle case where Kino returns the label instead of value +selected_idx = if is_integer(selected_value) do + selected_value +else + # Try to extract number from string like "#32: ..." + case Regex.run(~r/^#(\d+):/, to_string(selected_value)) do + [_, num_str] -> String.to_integer(num_str) - 1 + _ -> nil + end +end + +selected_error = if selected_idx, do: Enum.at(errors, selected_idx), else: nil + +if selected_error do + markdown = """ + ## Error ##{selected_idx + 1} + + **File:** #{selected_error.file} + **Line:** #{selected_error.line} + **Type:** #{selected_error.type} + **Location:** #{selected_error.location} + **Agent:** #{selected_error.agent || "N/A"} + + ### Full Error Text + + """ <> "```\n#{selected_error.full_text}\n```\n\n### Source Code Context\n" + + Kino.Markdown.new(markdown) +else + Kino.Markdown.new("No error selected") +end +```` + +````elixir +# Show source code around the error +if selected_error do + file_path = Path.join(project_dir, selected_error.file) + + if File.exists?(file_path) do + lines = File.read!(file_path) |> String.split("\n") + + # Show 10 lines before and after + start_line = max(0, selected_error.line - 10) + end_line = min(length(lines), selected_error.line + 10) + + context = lines + |> Enum.slice(start_line..end_line) + |> Enum.with_index(start_line + 1) + |> Enum.map(fn {line, num} -> + marker = if num == selected_error.line, do: ">>> ", else: " " + "#{marker}#{num}: #{line}" + end) + |> Enum.join("\n") + + Kino.Markdown.new("```elixir\n#{context}\n```") + else + Kino.Markdown.new("*File not found: #{file_path}*") + end +else + Kino.Markdown.new("") +end +```` + +```elixir +# Group errors by category +categories = %{ + unused_functions: errors |> Enum.filter(&(&1.type == "unused_fun")), + contract_violations: errors |> Enum.filter(&(&1.type == "call")), + invalid_contracts: errors |> Enum.filter(&(&1.type == "invalid_contract")), + pattern_matches: errors |> Enum.filter(&(&1.type == "pattern_match")), + guard_fails: errors |> Enum.filter(&(&1.type == "guard_fail")) +} + +Kino.Markdown.new(""" +## Error Categories + +### 1. Unused Functions (#{length(categories.unused_functions)}) +Functions that Dialyzer believes will never be called. + +### 2. Contract Violations (#{length(categories.contract_violations)}) +Function calls that don't match the declared @spec. + +### 3. Invalid Contracts (#{length(categories.invalid_contracts)}) +@spec declarations that don't match the actual function implementation. + +### 4. Pattern Matches (#{length(categories.pattern_matches)}) +Patterns that can never match based on type analysis. + +### 5. Guard Failures (#{length(categories.guard_fails)}) +Guard clauses that can never succeed. +""") +``` + +```elixir +# Separate framework and our code errors +framework_errors = Enum.filter(errors, &(&1.location == :jido_framework)) +our_errors = Enum.filter(errors, &(&1.location == :our_code)) + +Kino.Layout.tabs([ + {"Jido Framework (#{length(framework_errors)})", + Kino.DataTable.new( + framework_errors + |> Enum.map(&%{ + "Type" => &1.type, + "Line" => &1.line, + "Agent" => &1.agent || "N/A" + }), + name: "Framework Errors" + ) + }, + {"Our Code (#{length(our_errors)})", + Kino.DataTable.new( + our_errors + |> Enum.map(&%{ + "File" => Path.basename(&1.file), + "Type" => &1.type, + "Line" => &1.line, + "Agent" => &1.agent || "N/A" + }), + name: "Our Code Errors" + ) + } +]) +``` + +```elixir +Kino.Markdown.new(""" +## Next Steps + +Based on the analysis above, here's what we can do: + +### Errors We Can Fix + +1. **Pattern Match Errors** - These may indicate real bugs in our code +2. **Invalid Contracts in Our Code** - We can add proper @dialyzer directives + +### Errors That Are Framework Issues + +1. **Unused Functions** - These are in the Jido framework macro system +2. **Contract Violations** - The `use Jido.Agent` macro generates code with mismatched specs + +### Decision Points + +- Can we add @dialyzer {:nowarn_function, ...} to our agent modules? +- Should we override the generated specs? +- Do we need to modify how we use `use Jido.Agent`? +""") +``` + +```elixir +refresh_button = Kino.Control.button("πŸ”„ Re-run Dialyzer Analysis") +``` + +```elixir +Kino.listen(refresh_button, fn _event -> + Kino.Markdown.new("Running `mix dialyzer.analyze`...") |> Kino.render() + + {output, exit_code} = System.cmd("mix", ["dialyzer.analyze"], + stderr_to_stdout: true, + env: [{"MIX_ENV", "dev"}] + ) + + Kino.Markdown.new(""" + ## βœ… Analysis Complete + + **Exit Code:** #{exit_code} + + ### Output: +``` + +#{String.slice(output, 0..1000)} + +``` + + **Re-evaluate the "Load Data" cell to see updated data.** + """) |> Kino.render() +end) + +Kino.nothing() +``` + +```elixir +Kino.Markdown.new(""" +## Terminal Commands + +Run these in your terminal: + +``` + +mix dialyzer.analyze + +open dialyzer_reports/dialyzer_report.html + +mix dialyzer.analyze --mark-investigated 1,5,12 + +mix dialyzer.analyze --mark-fixed 3,7 + +``` +""") +``` diff --git a/livebooks/phase-15-ai/01-jido-agents-intro.livemd b/livebooks/phase-15-ai/01-jido-agents-intro.livemd new file mode 100644 index 0000000..3799733 --- /dev/null +++ b/livebooks/phase-15-ai/01-jido-agents-intro.livemd @@ -0,0 +1,486 @@ +# Introduction to Jido AI Agents + +## Learning Objectives + +By the end of this checkpoint, you will: + +* Understand agent-based architecture +* Learn the plan β†’ act β†’ observe lifecycle +* Build your first Jido agent +* Integrate agents with Elixir systems +* Understand when to use agents vs other patterns + + + +## Setup + +```elixir +Mix.install([ + {:jido, "~> 1.0"}, + {:jason, "~> 1.4"}, + {:kino, "~> 0.12"} +]) +``` + +## Concept: What are AI Agents? + +**AI Agents** are autonomous entities that can: +- **Perceive** their environment (observe) +- **Decide** what actions to take (plan) +- **Act** on those decisions (execute) +- **Learn** from outcomes (observe feedback) + +In the Jido framework, agents follow a structured lifecycle: **Plan β†’ Act β†’ Observe** + + + +## The Agent Lifecycle + +```elixir +Kino.Markdown.new(""" +### Plan β†’ Act β†’ Observe + +```mermaid +graph LR + A[Directive] --> B[Plan] + B --> C[Act] + C --> D[Observe] + D --> E[Signals] +``` + +**1. Plan** - Analyze the directive and create an execution plan +**2. Act** - Execute the plan and generate results +**3. Observe** - Analyze results and emit signals +""") +``` + + + +## Your First Agent: Hello World + +Let's build a simple agent that greets users: + +```elixir +defmodule HelloAgent do + use Jido.Agent, + name: "hello_agent", + description: "Greets users with personalized messages", + schema: [ + name: [type: :string, required: true, doc: "User's name"], + language: [type: :string, default: "en", doc: "Language code"] + ] + + alias Jido.Agent.{Directive, Signal} + + @impl Jido.Agent + def plan(agent, directive) do + name = Directive.get_param(directive, :name) + language = Directive.get_param(directive, :language, "en") + + # Create the greeting plan + plan = %{ + name: name, + language: language, + greeting_template: get_template(language) + } + + {:ok, Agent.put_plan(agent, plan)} + end + + @impl Jido.Agent + def act(agent) do + plan = Agent.get_plan(agent) + + # Generate the greeting + greeting = String.replace(plan.greeting_template, "{name}", plan.name) + + result = %{ + greeting: greeting, + language: plan.language, + timestamp: DateTime.utc_now() + } + + {:ok, Agent.put_result(agent, result)} + end + + @impl Jido.Agent + def observe(agent) do + result = Agent.get_result(agent) + + # Create observation + observations = %{ + greeting_length: String.length(result.greeting), + language_used: result.language + } + + signal = Signal.new(:greeting_sent, observations) + {:ok, agent, [signal]} + end + + ## Private functions + + defp get_template("en"), do: "Hello, {name}! Welcome to Jido agents." + defp get_template("es"), do: "Β‘Hola, {name}! Bienvenido a los agentes Jido." + defp get_template("fr"), do: "Bonjour, {name}! Bienvenue aux agents Jido." + defp get_template(_), do: "Hello, {name}!" +end + +:ok +``` + + + +## Running the Agent + +Now let's run our agent: + +```elixir +# Create a directive +directive = Jido.Agent.Directive.new(:greet, params: %{name: "Alice", language: "en"}) + +# Run the agent +{:ok, agent_result} = Jido.Agent.run(HelloAgent, directive) + +# Get the greeting +result = Jido.Agent.get_result(agent_result) +IO.puts(result.greeting) +``` + +Try changing the language to "es" or "fr" and re-evaluate! + + + +## Interactive Exercise 1.1: Modify the Agent + +Add support for more languages: + +```elixir +defmodule HelloAgentExtended do + use Jido.Agent, + name: "hello_agent_extended", + description: "Greets users in multiple languages", + schema: [ + name: [type: :string, required: true], + language: [type: :string, default: "en"] + ] + + alias Jido.Agent.{Directive, Signal} + + @impl Jido.Agent + def plan(agent, directive) do + name = Directive.get_param(directive, :name) + language = Directive.get_param(directive, :language, "en") + + plan = %{ + name: name, + language: language, + greeting_template: get_template(language) + } + + {:ok, Agent.put_plan(agent, plan)} + end + + @impl Jido.Agent + def act(agent) do + plan = Agent.get_plan(agent) + greeting = String.replace(plan.greeting_template, "{name}", plan.name) + + result = %{ + greeting: greeting, + language: plan.language + } + + {:ok, Agent.put_result(agent, result)} + end + + @impl Jido.Agent + def observe(agent) do + result = Agent.get_result(agent) + + observations = %{ + greeting_length: String.length(result.greeting) + } + + signal = Signal.new(:greeting_sent, observations) + {:ok, agent, [signal]} + end + + ## TODO: Add more language templates! + defp get_template("en"), do: "Hello, {name}!" + defp get_template("es"), do: "Β‘Hola, {name}!" + defp get_template("fr"), do: "Bonjour, {name}!" + defp get_template("de"), do: "Guten Tag, {name}!" + defp get_template("ja"), do: "こんにけは、{name}さん!" + defp get_template(_), do: "Hello, {name}!" +end + +# Test it +directive = Jido.Agent.Directive.new(:greet, params: %{name: "Bob", language: "de"}) +{:ok, agent} = Jido.Agent.run(HelloAgentExtended, directive) +result = Jido.Agent.get_result(agent) +IO.puts(result.greeting) +``` + + + +## Real-World Example: Code Review Agent + +Let's look at a practical agent from labs_jido_agent: + +```elixir +# This demonstrates the Code Review Agent concept +# (Simplified version - see labs_jido_agent for full implementation) + +defmodule SimpleCodeReviewAgent do + use Jido.Agent, + name: "code_reviewer", + description: "Reviews Elixir code for basic issues", + schema: [ + code: [type: :string, required: true] + ] + + alias Jido.Agent.{Directive, Signal} + + @impl Jido.Agent + def plan(agent, directive) do + code = Directive.get_param(directive, :code) + + plan = %{ + code: code, + checks: [:documentation, :pattern_matching, :tail_recursion] + } + + {:ok, Agent.put_plan(agent, plan)} + end + + @impl Jido.Agent + def act(agent) do + plan = Agent.get_plan(agent) + + # Simple code analysis + issues = [] + + issues = + if not String.contains?(plan.code, "@doc") do + [%{type: :quality, message: "Missing documentation"} | issues] + else + issues + end + + issues = + if String.contains?(plan.code, "+ sum(") do + [%{type: :performance, message: "Non-tail-recursive function"} | issues] + else + issues + end + + result = %{ + issues: issues, + score: calculate_score(issues) + } + + {:ok, Agent.put_result(agent, result)} + end + + @impl Jido.Agent + def observe(agent) do + result = Agent.get_result(agent) + + observations = %{ + issues_found: length(result.issues), + passing: result.score >= 80 + } + + signal = Signal.new(:review_complete, observations) + {:ok, agent, [signal]} + end + + defp calculate_score(issues) do + max(0, 100 - length(issues) * 10) + end +end + +# Test it +code = """ +defmodule BadExample do + def sum([]), do: 0 + def sum([h | t]), do: h + sum(t) +end +""" + +directive = Jido.Agent.Directive.new(:review, params: %{code: code}) +{:ok, agent} = Jido.Agent.run(SimpleCodeReviewAgent, directive) +result = Jido.Agent.get_result(agent) + +IO.inspect(result, label: "Review Result") +``` + + + +## Exercise 1.2: Build a Calculator Agent + +Create an agent that performs calculations and tracks statistics: + +```elixir +defmodule CalculatorAgent do + use Jido.Agent, + name: "calculator", + description: "Performs calculations and tracks usage", + schema: [ + operation: [type: {:in, [:add, :subtract, :multiply, :divide]}, required: true], + a: [type: :number, required: true], + b: [type: :number, required: true] + ] + + alias Jido.Agent.{Directive, Signal} + + @impl Jido.Agent + def plan(agent, directive) do + # TODO: Extract parameters and create plan + operation = Directive.get_param(directive, :operation) + a = Directive.get_param(directive, :a) + b = Directive.get_param(directive, :b) + + plan = %{ + operation: operation, + a: a, + b: b + } + + {:ok, Agent.put_plan(agent, plan)} + end + + @impl Jido.Agent + def act(agent) do + # TODO: Perform the calculation + plan = Agent.get_plan(agent) + + result_value = + case plan.operation do + :add -> plan.a + plan.b + :subtract -> plan.a - plan.b + :multiply -> plan.a * plan.b + :divide when plan.b != 0 -> plan.a / plan.b + :divide -> :error + end + + result = %{ + result: result_value, + operation: plan.operation + } + + {:ok, Agent.put_result(agent, result)} + end + + @impl Jido.Agent + def observe(agent) do + # TODO: Create observations + result = Agent.get_result(agent) + + observations = %{ + operation: result.operation, + success: result.result != :error + } + + signal = Signal.new(:calculation_complete, observations) + {:ok, agent, [signal]} + end +end + +# Test your calculator +directive = Jido.Agent.Directive.new(:calculate, params: %{operation: :add, a: 5, b: 3}) +{:ok, agent} = Jido.Agent.run(CalculatorAgent, directive) +result = Jido.Agent.get_result(agent) +IO.puts("Result: #{result.result}") +``` + + + +## Key Concepts Summary + +```elixir +Kino.Markdown.new(""" +### Important Concepts + +**1. Directive** +- Input to the agent +- Contains action type and parameters +- Created with `Directive.new(:action, params: %{...})` + +**2. Agent State** +- Plan: What the agent will do +- Result: What the agent produced +- Accessed via `Agent.get_plan/1` and `Agent.get_result/1` + +**3. Signals** +- Output events from the agent +- Used for monitoring and coordination +- Created with `Signal.new(:event_name, data)` + +**4. Lifecycle** +- `plan/2` - Analyze input, create plan +- `act/1` - Execute plan, produce result +- `observe/1` - Analyze result, emit signals +""") +``` + + + +## Self-Assessment + +```elixir +form = Kino.Control.form( + [ + lifecycle: {:checkbox, "I understand the plan β†’ act β†’ observe lifecycle"}, + directives: {:checkbox, "I can create and use directives"}, + state: {:checkbox, "I can manage agent state (plan and result)"}, + signals: {:checkbox, "I understand how signals work"}, + build_agent: {:checkbox, "I can build a basic Jido agent"} + ], + submit: "Check Progress" +) + +Kino.render(form) + +Kino.listen(form, fn event -> + completed = event.data |> Map.values() |> Enum.count(& &1) + total = map_size(event.data) + + progress_message = + if completed == total do + "πŸŽ‰ Excellent! You've mastered Jido Agent basics!" + else + "Keep going! #{completed}/#{total} objectives complete" + end + + Kino.Markdown.new("### Progress: #{progress_message}") |> Kino.render() +end) +``` + + + +## Key Takeaways + +* **Agents** follow a structured lifecycle: plan β†’ act β†’ observe +* **Directives** provide input and parameters to agents +* **State management** happens through plan and result +* **Signals** allow agents to communicate outcomes +* Agents are **autonomous** - they make decisions based on their logic +* Use agents when you need **structured decision-making** and **observable behavior** + + + +## Next Steps + +Ready to dive deeper? Continue to the next checkpoint: + +**[Continue to Checkpoint 2: Multi-Agent Systems β†’](02-multi-agent-systems.livemd)** + +Or explore the full agent implementations: +- **Code Review Agent** - `apps/labs_jido_agent/lib/labs_jido_agent/code_review_agent.ex` +- **Study Buddy Agent** - `apps/labs_jido_agent/lib/labs_jido_agent/study_buddy_agent.ex` +- **Progress Coach Agent** - `apps/labs_jido_agent/lib/labs_jido_agent/progress_coach_agent.ex` + +--- + +*Try building agents for your own use cases! What problems could benefit from agent-based solutions?* πŸ€– diff --git a/mix.exs b/mix.exs index a9ae3ca..7fa4b11 100644 --- a/mix.exs +++ b/mix.exs @@ -9,6 +9,7 @@ defmodule ElixirSystemsMastery.MixProject do deps: deps(), aliases: aliases(), releases: releases(), + dialyzer: dialyzer(), test_coverage: [ tool: ExCoveralls, export: "cov" @@ -26,7 +27,7 @@ defmodule ElixirSystemsMastery.MixProject do defp deps do [ # Dev/test tools - {:credo, "~> 1.7", only: [:dev, :test], runtime: false}, + {:credo, "~> 1.7", only: [:dev, :test], runtime: false, override: true}, {:dialyxir, "~> 1.4", only: [:dev, :test], runtime: false}, {:ex_doc, "~> 0.34", only: :dev, runtime: false}, {:sobelow, "~> 0.13", only: [:dev, :test], runtime: false}, @@ -40,7 +41,12 @@ defmodule ElixirSystemsMastery.MixProject do # Livebook dependencies {:kino, "~> 0.12"}, {:kino_vega_lite, "~> 0.1"}, - {:kino_db, "~> 0.2"} + {:kino_db, "~> 0.2"}, + # Jido AI Agent Framework - using main branch for Dialyzer fixes + {:jido, github: "agentjido/jido", branch: "main"}, + {:instructor, "~> 0.1.0"}, + {:jason, "~> 1.4"}, + {:req, "~> 0.5"} ] end @@ -66,4 +72,12 @@ defmodule ElixirSystemsMastery.MixProject do ] ] end + + defp dialyzer do + [ + plt_file: {:no_warn, "priv/plts/dialyzer.plt"}, + plt_add_apps: [:mix, :ex_unit], + ignore_warnings: ".dialyzer_ignore.exs" + ] + end end diff --git a/mix.lock b/mix.lock index 86eb308..6cd12a0 100644 --- a/mix.lock +++ b/mix.lock @@ -1,36 +1,92 @@ %{ + "abacus": {:hex, :abacus, "2.1.0", "b6db5c989ba3d9dd8c36d1cb269e2f0058f34768d47c67eb8ce06697ecb36dd4", [:mix], [], "hexpm", "255de08b02884e8383f1eed8aa31df884ce0fb5eb394db81ff888089f2a1bbff"}, "acceptor_pool": {:hex, :acceptor_pool, "1.0.0", "43c20d2acae35f0c2bcd64f9d2bde267e459f0f3fd23dab26485bf518c281b21", [:rebar3], [], "hexpm", "0cbcd83fdc8b9ad2eee2067ef8b91a14858a5883cb7cd800e6fcd5803e158788"}, + "backoff": {:hex, :backoff, "1.1.6", "83b72ed2108ba1ee8f7d1c22e0b4a00cfe3593a67dbc792799e8cce9f42f796b", [:rebar3], [], "hexpm", "cf0cfff8995fb20562f822e5cc47d8ccf664c5ecdc26a684cbe85c225f9d7c39"}, "benchee": {:hex, :benchee, "1.5.0", "4d812c31d54b0ec0167e91278e7de3f596324a78a096fd3d0bea68bb0c513b10", [:mix], [{:deep_merge, "~> 1.0", [hex: :deep_merge, repo: "hexpm", optional: false]}, {:statistex, "~> 1.1", [hex: :statistex, repo: "hexpm", optional: false]}, {:table, "~> 0.1.0", [hex: :table, repo: "hexpm", optional: true]}], "hexpm", "5b075393aea81b8ae74eadd1c28b1d87e8a63696c649d8293db7c4df3eb67535"}, "bunt": {:hex, :bunt, "1.0.0", "081c2c665f086849e6d57900292b3a161727ab40431219529f13c4ddcf3e7a44", [:mix], [], "hexpm", "dc5f86aa08a5f6fa6b8096f0735c4e76d54ae5c9fa2c143e5a1fc7c1cd9bb6b5"}, + "certifi": {:hex, :certifi, "2.15.0", "0e6e882fcdaaa0a5a9f2b3db55b1394dba07e8d6d9bcad08318fb604c6839712", [:rebar3], [], "hexpm", "b147ed22ce71d72eafdad94f055165c1c182f61a2ff49df28bcc71d1d5b94a60"}, "chatterbox": {:hex, :ts_chatterbox, "0.15.1", "5cac4d15dd7ad61fc3c4415ce4826fc563d4643dee897a558ec4ea0b1c835c9c", [:rebar3], [{:hpack, "~> 0.3.0", [hex: :hpack_erl, repo: "hexpm", optional: false]}], "hexpm", "4f75b91451338bc0da5f52f3480fa6ef6e3a2aeecfc33686d6b3d0a0948f31aa"}, "credo": {:hex, :credo, "1.7.13", "126a0697df6b7b71cd18c81bc92335297839a806b6f62b61d417500d1070ff4e", [:mix], [{:bunt, "~> 0.2.1 or ~> 1.0", [hex: :bunt, repo: "hexpm", optional: false]}, {:file_system, "~> 0.2 or ~> 1.0", [hex: :file_system, repo: "hexpm", optional: false]}, {:jason, "~> 1.0", [hex: :jason, repo: "hexpm", optional: false]}], "hexpm", "47641e6d2bbff1e241e87695b29f617f1a8f912adea34296fb10ecc3d7e9e84f"}, + "crontab": {:hex, :crontab, "1.2.0", "503611820257939d5d0fd272eb2b454f48a470435a809479ddc2c40bb515495c", [:mix], [{:ecto, "~> 1.0 or ~> 2.0 or ~> 3.0", [hex: :ecto, repo: "hexpm", optional: true]}], "hexpm", "ebd7ef4d831e1b20fa4700f0de0284a04cac4347e813337978e25b4cc5cc2207"}, "ctx": {:hex, :ctx, "0.6.0", "8ff88b70e6400c4df90142e7f130625b82086077a45364a78d208ed3ed53c7fe", [:rebar3], [], "hexpm", "a14ed2d1b67723dbebbe423b28d7615eb0bdcba6ff28f2d1f1b0a7e1d4aa5fc2"}, + "decimal": {:hex, :decimal, "2.3.0", "3ad6255aa77b4a3c4f818171b12d237500e63525c2fd056699967a3e7ea20f62", [:mix], [], "hexpm", "a4d66355cb29cb47c3cf30e71329e58361cfcb37c34235ef3bf1d7bf3773aeac"}, "deep_merge": {:hex, :deep_merge, "1.0.0", "b4aa1a0d1acac393bdf38b2291af38cb1d4a52806cf7a4906f718e1feb5ee961", [:mix], [], "hexpm", "ce708e5f094b9cd4e8f2be4f00d2f4250c4095be93f8cd6d018c753894885430"}, "dialyxir": {:hex, :dialyxir, "1.4.6", "7cca478334bf8307e968664343cbdb432ee95b4b68a9cba95bdabb0ad5bdfd9a", [:mix], [{:erlex, ">= 0.2.7", [hex: :erlex, repo: "hexpm", optional: false]}], "hexpm", "8cf5615c5cd4c2da6c501faae642839c8405b49f8aa057ad4ae401cb808ef64d"}, "earmark_parser": {:hex, :earmark_parser, "1.4.44", "f20830dd6b5c77afe2b063777ddbbff09f9759396500cdbe7523efd58d7a339c", [:mix], [], "hexpm", "4778ac752b4701a5599215f7030989c989ffdc4f6df457c5f36938cc2d2a2750"}, + "ecto": {:hex, :ecto, "3.13.5", "9d4a69700183f33bf97208294768e561f5c7f1ecf417e0fa1006e4a91713a834", [:mix], [{:decimal, "~> 2.0", [hex: :decimal, repo: "hexpm", optional: false]}, {:jason, "~> 1.0", [hex: :jason, repo: "hexpm", optional: true]}, {:telemetry, "~> 0.4 or ~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}], "hexpm", "df9efebf70cf94142739ba357499661ef5dbb559ef902b68ea1f3c1fabce36de"}, + "elixir_make": {:hex, :elixir_make, "0.9.0", "6484b3cd8c0cee58f09f05ecaf1a140a8c97670671a6a0e7ab4dc326c3109726", [:mix], [], "hexpm", "db23d4fd8b757462ad02f8aa73431a426fe6671c80b200d9710caf3d1dd0ffdb"}, + "elixir_uuid": {:hex, :elixir_uuid, "1.2.1", "dce506597acb7e6b0daeaff52ff6a9043f5919a4c3315abb4143f0b00378c097", [:mix], [], "hexpm", "f7eba2ea6c3555cea09706492716b0d87397b88946e6380898c2889d68585752"}, "erlex": {:hex, :erlex, "0.2.7", "810e8725f96ab74d17aac676e748627a07bc87eb950d2b83acd29dc047a30595", [:mix], [], "hexpm", "3ed95f79d1a844c3f6bf0cea61e0d5612a42ce56da9c03f01df538685365efb0"}, + "ex_dbug": {:hex, :ex_dbug, "2.1.0", "dad362e6c5dbc30c6dc6b812fac305920f45f4f443bdf077696df385e4be651a", [:mix], [], "hexpm", "c32c0a87f4c53a0b71320a2cc113faacfe05f94e262057b4629225fc037aabe5"}, "ex_doc": {:hex, :ex_doc, "0.39.1", "e19d356a1ba1e8f8cfc79ce1c3f83884b6abfcb79329d435d4bbb3e97ccc286e", [:mix], [{:earmark_parser, "~> 1.4.44", [hex: :earmark_parser, repo: "hexpm", optional: false]}, {:makeup_c, ">= 0.1.0", [hex: :makeup_c, repo: "hexpm", optional: true]}, {:makeup_elixir, "~> 0.14 or ~> 1.0", [hex: :makeup_elixir, repo: "hexpm", optional: false]}, {:makeup_erlang, "~> 0.1 or ~> 1.0", [hex: :makeup_erlang, repo: "hexpm", optional: false]}, {:makeup_html, ">= 0.1.0", [hex: :makeup_html, repo: "hexpm", optional: true]}], "hexpm", "8abf0ed3e3ca87c0847dfc4168ceab5bedfe881692f1b7c45f4a11b232806865"}, "excoveralls": {:hex, :excoveralls, "0.18.5", "e229d0a65982613332ec30f07940038fe451a2e5b29bce2a5022165f0c9b157e", [:mix], [{:castore, "~> 1.0", [hex: :castore, repo: "hexpm", optional: true]}, {:jason, "~> 1.0", [hex: :jason, repo: "hexpm", optional: false]}], "hexpm", "523fe8a15603f86d64852aab2abe8ddbd78e68579c8525ae765facc5eae01562"}, "file_system": {:hex, :file_system, "1.1.1", "31864f4685b0148f25bd3fbef2b1228457c0c89024ad67f7a81a3ffbc0bbad3a", [:mix], [], "hexpm", "7a15ff97dfe526aeefb090a7a9d3d03aa907e100e262a0f8f7746b78f8f87a5d"}, + "finch": {:hex, :finch, "0.20.0", "5330aefb6b010f424dcbbc4615d914e9e3deae40095e73ab0c1bb0968933cadf", [:mix], [{:mime, "~> 1.0 or ~> 2.0", [hex: :mime, repo: "hexpm", optional: false]}, {:mint, "~> 1.6.2 or ~> 1.7", [hex: :mint, repo: "hexpm", optional: false]}, {:nimble_options, "~> 0.4 or ~> 1.0", [hex: :nimble_options, repo: "hexpm", optional: false]}, {:nimble_pool, "~> 1.1", [hex: :nimble_pool, repo: "hexpm", optional: false]}, {:telemetry, "~> 0.4 or ~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}], "hexpm", "2658131a74d051aabfcba936093c903b8e89da9a1b63e430bee62045fa9b2ee2"}, + "fss": {:hex, :fss, "0.1.1", "9db2344dbbb5d555ce442ac7c2f82dd975b605b50d169314a20f08ed21e08642", [:mix], [], "hexpm", "78ad5955c7919c3764065b21144913df7515d52e228c09427a004afe9c1a16b0"}, + "gen_stage": {:hex, :gen_stage, "1.3.2", "7c77e5d1e97de2c6c2f78f306f463bca64bf2f4c3cdd606affc0100b89743b7b", [:mix], [], "hexpm", "0ffae547fa777b3ed889a6b9e1e64566217413d018cabd825f786e843ffe63e7"}, "gproc": {:hex, :gproc, "0.9.1", "f1df0364423539cf0b80e8201c8b1839e229e5f9b3ccb944c5834626998f5b8c", [:rebar3], [], "hexpm", "905088e32e72127ed9466f0bac0d8e65704ca5e73ee5a62cb073c3117916d507"}, "grpcbox": {:hex, :grpcbox, "0.17.1", "6e040ab3ef16fe699ffb513b0ef8e2e896da7b18931a1ef817143037c454bcce", [:rebar3], [{:acceptor_pool, "~> 1.0.0", [hex: :acceptor_pool, repo: "hexpm", optional: false]}, {:chatterbox, "~> 0.15.1", [hex: :ts_chatterbox, repo: "hexpm", optional: false]}, {:ctx, "~> 0.6.0", [hex: :ctx, repo: "hexpm", optional: false]}, {:gproc, "~> 0.9.1", [hex: :gproc, repo: "hexpm", optional: false]}], "hexpm", "4a3b5d7111daabc569dc9cbd9b202a3237d81c80bf97212fbc676832cb0ceb17"}, + "hackney": {:hex, :hackney, "1.25.0", "390e9b83f31e5b325b9f43b76e1a785cbdb69b5b6cd4e079aa67835ded046867", [:rebar3], [{:certifi, "~> 2.15.0", [hex: :certifi, repo: "hexpm", optional: false]}, {:idna, "~> 6.1.0", [hex: :idna, repo: "hexpm", optional: false]}, {:metrics, "~> 1.0.0", [hex: :metrics, repo: "hexpm", optional: false]}, {:mimerl, "~> 1.4", [hex: :mimerl, repo: "hexpm", optional: false]}, {:parse_trans, "3.4.1", [hex: :parse_trans, repo: "hexpm", optional: false]}, {:ssl_verify_fun, "~> 1.1.0", [hex: :ssl_verify_fun, repo: "hexpm", optional: false]}, {:unicode_util_compat, "~> 0.7.1", [hex: :unicode_util_compat, repo: "hexpm", optional: false]}], "hexpm", "7209bfd75fd1f42467211ff8f59ea74d6f2a9e81cbcee95a56711ee79fd6b1d4"}, "hpack": {:hex, :hpack_erl, "0.3.0", "2461899cc4ab6a0ef8e970c1661c5fc6a52d3c25580bc6dd204f84ce94669926", [:rebar3], [], "hexpm", "d6137d7079169d8c485c6962dfe261af5b9ef60fbc557344511c1e65e3d95fb0"}, + "hpax": {:hex, :hpax, "1.0.3", "ed67ef51ad4df91e75cc6a1494f851850c0bd98ebc0be6e81b026e765ee535aa", [:mix], [], "hexpm", "8eab6e1cfa8d5918c2ce4ba43588e894af35dbd8e91e6e55c817bca5847df34a"}, + "httpoison": {:hex, :httpoison, "2.2.3", "a599d4b34004cc60678999445da53b5e653630651d4da3d14675fedc9dd34bd6", [:mix], [{:hackney, "~> 1.21", [hex: :hackney, repo: "hexpm", optional: false]}], "hexpm", "fa0f2e3646d3762fdc73edb532104c8619c7636a6997d20af4003da6cfc53e53"}, + "idna": {:hex, :idna, "6.1.1", "8a63070e9f7d0c62eb9d9fcb360a7de382448200fbbd1b106cc96d3d8099df8d", [:rebar3], [{:unicode_util_compat, "~> 0.7.0", [hex: :unicode_util_compat, repo: "hexpm", optional: false]}], "hexpm", "92376eb7894412ed19ac475e4a86f7b413c1b9fbb5bd16dccd57934157944cea"}, + "instructor": {:hex, :instructor, "0.1.0", "ca587fa11b9de7dff68b6f0a28ee17682d35f67efa20f71aef61bbb528444562", [:mix], [{:ecto, "~> 3.12", [hex: :ecto, repo: "hexpm", optional: false]}, {:jason, "~> 1.4.0", [hex: :jason, repo: "hexpm", optional: false]}, {:jaxon, "~> 2.0", [hex: :jaxon, repo: "hexpm", optional: false]}, {:req, "~> 0.5 or ~> 1.0", [hex: :req, repo: "hexpm", optional: false]}], "hexpm", "05a7020a460ca43dc1123c7903e928b678360cd37eac761f472bd8e0787fefcb"}, "jason": {:hex, :jason, "1.4.4", "b9226785a9aa77b6857ca22832cffa5d5011a667207eb2a0ad56adb5db443b8a", [:mix], [{:decimal, "~> 1.0 or ~> 2.0", [hex: :decimal, repo: "hexpm", optional: true]}], "hexpm", "c5eb0cab91f094599f94d55bc63409236a8ec69a21a67814529e8d5f6cc90b3b"}, + "jaxon": {:hex, :jaxon, "2.0.8", "00951a79d354260e28d7e36f956c3de94818124768a4b22e0fc55559d1b3bfe7", [:make, :mix], [{:elixir_make, "~> 0.4", [hex: :elixir_make, repo: "hexpm", optional: false]}], "hexpm", "74532853b1126609615ea98f0ceb5009e70465ca98027afbbd8ed314d887e82d"}, + "jido": {:git, "https://github.com/agentjido/jido.git", "ee00dc0deb121724c5f92fe263debabf25cb26d1", [branch: "main"]}, + "jido_action": {:git, "https://github.com/agentjido/jido_action.git", "1c527972fd541db9b2d323e1d395bbc79122c246", []}, + "jido_signal": {:git, "https://github.com/agentjido/jido_signal.git", "8fa4bf06d41388a645725e041fcafddf7fb2e56d", []}, + "kino": {:hex, :kino, "0.17.0", "72f1a2bf691db7b8352bae86b3951fdf9b23619b5d8586cb7cd1e9c2edc8ff9b", [:mix], [{:fss, "~> 0.1.0", [hex: :fss, repo: "hexpm", optional: false]}, {:nx, "~> 0.1", [hex: :nx, repo: "hexpm", optional: true]}, {:plug, "~> 1.0", [hex: :plug, repo: "hexpm", optional: true]}, {:table, "~> 0.1.2", [hex: :table, repo: "hexpm", optional: false]}], "hexpm", "e1ec49a2ebbf622c1675f96b427c565ce02df6725e8f2e8d4a743c8e791bd090"}, + "kino_db": {:hex, :kino_db, "0.4.0", "bf55014a816cfaaf983cc76173d3e424d66454ae18bdf3974efefabe053237c8", [:mix], [{:adbc, "~> 0.8", [hex: :adbc, repo: "hexpm", optional: true]}, {:db_connection, "~> 2.4.2 or ~> 2.5", [hex: :db_connection, repo: "hexpm", optional: true]}, {:exqlite, "~> 0.11", [hex: :exqlite, repo: "hexpm", optional: true]}, {:kino, "~> 0.13", [hex: :kino, repo: "hexpm", optional: false]}, {:myxql, "~> 0.7", [hex: :myxql, repo: "hexpm", optional: true]}, {:postgrex, "~> 0.18 or ~> 1.0", [hex: :postgrex, repo: "hexpm", optional: true]}, {:req_athena, "~> 0.3.0", [hex: :req_athena, repo: "hexpm", optional: true]}, {:req_ch, "~> 0.1.0", [hex: :req_ch, repo: "hexpm", optional: true]}, {:table, "~> 0.1", [hex: :table, repo: "hexpm", optional: false]}, {:tds, "~> 2.3.4 or ~> 2.4", [hex: :tds, repo: "hexpm", optional: true]}], "hexpm", "aa01c2805200a46b315acbf7393372bb07c5556a1e664878eedfe69e94dd8dcf"}, + "kino_vega_lite": {:hex, :kino_vega_lite, "0.1.13", "03c00405987a2202e4b8014ee55eb7f5727691b3f13d76a3764f6eeccef45322", [:mix], [{:kino, "~> 0.7", [hex: :kino, repo: "hexpm", optional: false]}, {:table, "~> 0.1.0", [hex: :table, repo: "hexpm", optional: false]}, {:vega_lite, "~> 0.1.8", [hex: :vega_lite, repo: "hexpm", optional: false]}], "hexpm", "00c72bc270e7b9d3c339f726cdab0012fd3f2fc75e36c7548e0f250fe420fa10"}, + "libgraph": {:hex, :libgraph, "0.16.0", "3936f3eca6ef826e08880230f806bfea13193e49bf153f93edcf0239d4fd1d07", [:mix], [], "hexpm", "41ca92240e8a4138c30a7e06466acc709b0cbb795c643e9e17174a178982d6bf"}, + "lua": {:hex, :lua, "0.3.0", "891d03c61e1fd90ae1afda944954af154cdbf4eca61ca7d3f92d3ad53145f198", [:mix], [{:luerl, "~> 1.4.1", [hex: :luerl, repo: "hexpm", optional: false]}], "hexpm", "c4be73f5befb1a60f6fad64bd719ff30f0d0fc2fb17306ee657a7caee8752b53"}, + "luerl": {:hex, :luerl, "1.4.1", "0018b5002849a3ba401bc2dc5a67e45de4c404aacfd1b9d3c2fc50fde599ff12", [:rebar3], [], "hexpm", "618ff8967d23d8f8d5800a3784625aeafba7fa42648fd9af4f05fcd1383cb860"}, "makeup": {:hex, :makeup, "1.2.1", "e90ac1c65589ef354378def3ba19d401e739ee7ee06fb47f94c687016e3713d1", [:mix], [{:nimble_parsec, "~> 1.4", [hex: :nimble_parsec, repo: "hexpm", optional: false]}], "hexpm", "d36484867b0bae0fea568d10131197a4c2e47056a6fbe84922bf6ba71c8d17ce"}, "makeup_elixir": {:hex, :makeup_elixir, "1.0.1", "e928a4f984e795e41e3abd27bfc09f51db16ab8ba1aebdba2b3a575437efafc2", [:mix], [{:makeup, "~> 1.0", [hex: :makeup, repo: "hexpm", optional: false]}, {:nimble_parsec, "~> 1.2.3 or ~> 1.3", [hex: :nimble_parsec, repo: "hexpm", optional: false]}], "hexpm", "7284900d412a3e5cfd97fdaed4f5ed389b8f2b4cb49efc0eb3bd10e2febf9507"}, "makeup_erlang": {:hex, :makeup_erlang, "1.0.2", "03e1804074b3aa64d5fad7aa64601ed0fb395337b982d9bcf04029d68d51b6a7", [:mix], [{:makeup, "~> 1.0", [hex: :makeup, repo: "hexpm", optional: false]}], "hexpm", "af33ff7ef368d5893e4a267933e7744e46ce3cf1f61e2dccf53a111ed3aa3727"}, + "metrics": {:hex, :metrics, "1.0.1", "25f094dea2cda98213cecc3aeff09e940299d950904393b2a29d191c346a8486", [:rebar3], [], "hexpm", "69b09adddc4f74a40716ae54d140f93beb0fb8978d8636eaded0c31b6f099f16"}, + "mime": {:hex, :mime, "2.0.7", "b8d739037be7cd402aee1ba0306edfdef982687ee7e9859bee6198c1e7e2f128", [:mix], [], "hexpm", "6171188e399ee16023ffc5b76ce445eb6d9672e2e241d2df6050f3c771e80ccd"}, + "mimerl": {:hex, :mimerl, "1.4.0", "3882a5ca67fbbe7117ba8947f27643557adec38fa2307490c4c4207624cb213b", [:rebar3], [], "hexpm", "13af15f9f68c65884ecca3a3891d50a7b57d82152792f3e19d88650aa126b144"}, + "mint": {:hex, :mint, "1.7.1", "113fdb2b2f3b59e47c7955971854641c61f378549d73e829e1768de90fc1abf1", [:mix], [{:castore, "~> 0.1.0 or ~> 1.0", [hex: :castore, repo: "hexpm", optional: true]}, {:hpax, "~> 0.1.1 or ~> 0.2.0 or ~> 1.0", [hex: :hpax, repo: "hexpm", optional: false]}], "hexpm", "fceba0a4d0f24301ddee3024ae116df1c3f4bb7a563a731f45fdfeb9d39a231b"}, "mix_audit": {:hex, :mix_audit, "2.1.5", "c0f77cee6b4ef9d97e37772359a187a166c7a1e0e08b50edf5bf6959dfe5a016", [:make, :mix], [{:jason, "~> 1.4", [hex: :jason, repo: "hexpm", optional: false]}, {:yaml_elixir, "~> 2.11", [hex: :yaml_elixir, repo: "hexpm", optional: false]}], "hexpm", "87f9298e21da32f697af535475860dc1d3617a010e0b418d2ec6142bc8b42d69"}, "mox": {:hex, :mox, "1.2.0", "a2cd96b4b80a3883e3100a221e8adc1b98e4c3a332a8fc434c39526babafd5b3", [:mix], [{:nimble_ownership, "~> 1.0", [hex: :nimble_ownership, repo: "hexpm", optional: false]}], "hexpm", "c7b92b3cc69ee24a7eeeaf944cd7be22013c52fcb580c1f33f50845ec821089a"}, + "msgpax": {:hex, :msgpax, "2.4.0", "4647575c87cb0c43b93266438242c21f71f196cafa268f45f91498541148c15d", [:mix], [{:plug, "~> 1.0", [hex: :plug, repo: "hexpm", optional: true]}], "hexpm", "ca933891b0e7075701a17507c61642bf6e0407bb244040d5d0a58597a06369d2"}, + "nimble_options": {:hex, :nimble_options, "1.1.1", "e3a492d54d85fc3fd7c5baf411d9d2852922f66e69476317787a7b2bb000a61b", [:mix], [], "hexpm", "821b2470ca9442c4b6984882fe9bb0389371b8ddec4d45a9504f00a66f650b44"}, "nimble_ownership": {:hex, :nimble_ownership, "1.0.2", "fa8a6f2d8c592ad4d79b2ca617473c6aefd5869abfa02563a77682038bf916cf", [:mix], [], "hexpm", "098af64e1f6f8609c6672127cfe9e9590a5d3fcdd82bc17a377b8692fd81a879"}, "nimble_parsec": {:hex, :nimble_parsec, "1.4.2", "8efba0122db06df95bfaa78f791344a89352ba04baedd3849593bfce4d0dc1c6", [:mix], [], "hexpm", "4b21398942dda052b403bbe1da991ccd03a053668d147d53fb8c4e0efe09c973"}, + "nimble_pool": {:hex, :nimble_pool, "1.1.0", "bf9c29fbdcba3564a8b800d1eeb5a3c58f36e1e11d7b7fb2e084a643f645f06b", [:mix], [], "hexpm", "af2e4e6b34197db81f7aad230c1118eac993acc0dae6bc83bac0126d4ae0813a"}, + "ok": {:hex, :ok, "2.3.0", "0a3d513ec9038504dc5359d44e14fc14ef59179e625563a1a144199cdc3a6d30", [:mix], [], "hexpm", "f0347b3f8f115bf347c704184b33cf084f2943771273f2b98a3707a5fa43c4d5"}, "opentelemetry": {:hex, :opentelemetry, "1.7.0", "20d0f12d3d1c398d3670fd44fd1a7c495dd748ab3e5b692a7906662e2fb1a38a", [:rebar3], [{:opentelemetry_api, "~> 1.5.0", [hex: :opentelemetry_api, repo: "hexpm", optional: false]}], "hexpm", "a9173b058c4549bf824cbc2f1d2fa2adc5cdedc22aa3f0f826951187bbd53131"}, "opentelemetry_api": {:hex, :opentelemetry_api, "1.5.0", "1a676f3e3340cab81c763e939a42e11a70c22863f645aa06aafefc689b5550cf", [:mix, :rebar3], [], "hexpm", "f53ec8a1337ae4a487d43ac89da4bd3a3c99ddf576655d071deed8b56a2d5dda"}, "opentelemetry_exporter": {:hex, :opentelemetry_exporter, "1.10.0", "972e142392dbfa679ec959914664adefea38399e4f56ceba5c473e1cabdbad79", [:rebar3], [{:grpcbox, ">= 0.0.0", [hex: :grpcbox, repo: "hexpm", optional: false]}, {:opentelemetry, "~> 1.7.0", [hex: :opentelemetry, repo: "hexpm", optional: false]}, {:opentelemetry_api, "~> 1.5.0", [hex: :opentelemetry_api, repo: "hexpm", optional: false]}, {:tls_certificate_check, "~> 1.18", [hex: :tls_certificate_check, repo: "hexpm", optional: false]}], "hexpm", "33a116ed7304cb91783f779dec02478f887c87988077bfd72840f760b8d4b952"}, + "parse_trans": {:hex, :parse_trans, "3.4.1", "6e6aa8167cb44cc8f39441d05193be6e6f4e7c2946cb2759f015f8c56b76e5ff", [:rebar3], [], "hexpm", "620a406ce75dada827b82e453c19cf06776be266f5a67cff34e1ef2cbb60e49a"}, + "phoenix_pubsub": {:hex, :phoenix_pubsub, "2.2.0", "ff3a5616e1bed6804de7773b92cbccfc0b0f473faf1f63d7daf1206c7aeaaa6f", [:mix], [], "hexpm", "adc313a5bf7136039f63cfd9668fde73bba0765e0614cba80c06ac9460ff3e96"}, + "plug": {:hex, :plug, "1.18.1", "5067f26f7745b7e31bc3368bc1a2b818b9779faa959b49c934c17730efc911cf", [:mix], [{:mime, "~> 1.0 or ~> 2.0", [hex: :mime, repo: "hexpm", optional: false]}, {:plug_crypto, "~> 1.1.1 or ~> 1.2 or ~> 2.0", [hex: :plug_crypto, repo: "hexpm", optional: false]}, {:telemetry, "~> 0.4.3 or ~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}], "hexpm", "57a57db70df2b422b564437d2d33cf8d33cd16339c1edb190cd11b1a3a546cc2"}, + "plug_crypto": {:hex, :plug_crypto, "2.1.1", "19bda8184399cb24afa10be734f84a16ea0a2bc65054e23a62bb10f06bc89491", [:mix], [], "hexpm", "6470bce6ffe41c8bd497612ffde1a7e4af67f36a15eea5f921af71cf3e11247c"}, + "private": {:hex, :private, "0.1.2", "da4add9f36c3818a9f849840ca43016c8ae7f76d7a46c3b2510f42dcc5632932", [:mix], [], "hexpm", "22ee01c3f450cf8d135da61e10ec59dde006238fab1ea039014791fc8f3ff075"}, + "proper_case": {:hex, :proper_case, "1.3.1", "5f51cabd2d422a45f374c6061b7379191d585b5154456b371432d0fa7cb1ffda", [:mix], [], "hexpm", "6cc715550cc1895e61608060bbe67aef0d7c9cf55d7ddb013c6d7073036811dd"}, + "quantum": {:hex, :quantum, "3.5.3", "ee38838a07761663468145f489ad93e16a79440bebd7c0f90dc1ec9850776d99", [:mix], [{:crontab, "~> 1.1", [hex: :crontab, repo: "hexpm", optional: false]}, {:gen_stage, "~> 0.14 or ~> 1.0", [hex: :gen_stage, repo: "hexpm", optional: false]}, {:telemetry, "~> 0.4.3 or ~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}, {:telemetry_registry, "~> 0.2", [hex: :telemetry_registry, repo: "hexpm", optional: false]}], "hexpm", "500fd3fa77dcd723ed9f766d4a175b684919ff7b6b8cfd9d7d0564d58eba8734"}, + "req": {:hex, :req, "0.5.15", "662020efb6ea60b9f0e0fac9be88cd7558b53fe51155a2d9899de594f9906ba9", [:mix], [{:brotli, "~> 0.3.1", [hex: :brotli, repo: "hexpm", optional: true]}, {:ezstd, "~> 1.0", [hex: :ezstd, repo: "hexpm", optional: true]}, {:finch, "~> 0.17", [hex: :finch, repo: "hexpm", optional: false]}, {:jason, "~> 1.0", [hex: :jason, repo: "hexpm", optional: false]}, {:mime, "~> 2.0.6 or ~> 2.1", [hex: :mime, repo: "hexpm", optional: false]}, {:nimble_csv, "~> 1.0", [hex: :nimble_csv, repo: "hexpm", optional: true]}, {:plug, "~> 1.0", [hex: :plug, repo: "hexpm", optional: true]}], "hexpm", "a6513a35fad65467893ced9785457e91693352c70b58bbc045b47e5eb2ef0c53"}, "sobelow": {:hex, :sobelow, "0.14.1", "2f81e8632f15574cba2402bcddff5497b413c01e6f094bc0ab94e83c2f74db81", [:mix], [{:jason, "~> 1.0", [hex: :jason, repo: "hexpm", optional: false]}], "hexpm", "8fac9a2bd90fdc4b15d6fca6e1608efb7f7c600fa75800813b794ee9364c87f2"}, + "splode": {:hex, :splode, "0.2.9", "3a2776e187c82f42f5226b33b1220ccbff74f4bcc523dd4039c804caaa3ffdc7", [:mix], [], "hexpm", "8002b00c6e24f8bd1bcced3fbaa5c33346048047bb7e13d2f3ad428babbd95c3"}, "ssl_verify_fun": {:hex, :ssl_verify_fun, "1.1.7", "354c321cf377240c7b8716899e182ce4890c5938111a1296add3ec74cf1715df", [:make, :mix, :rebar3], [], "hexpm", "fe4c190e8f37401d30167c8c405eda19469f34577987c76dde613e838bbc67f8"}, "statistex": {:hex, :statistex, "1.1.0", "7fec1eb2f580a0d2c1a05ed27396a084ab064a40cfc84246dbfb0c72a5c761e5", [:mix], [], "hexpm", "f5950ea26ad43246ba2cce54324ac394a4e7408fdcf98b8e230f503a0cba9cf5"}, "stream_data": {:hex, :stream_data, "0.6.0", "e87a9a79d7ec23d10ff83eb025141ef4915eeb09d4491f79e52f2562b73e5f47", [:mix], [], "hexpm", "b92b5031b650ca480ced047578f1d57ea6dd563f5b57464ad274718c9c29501c"}, + "table": {:hex, :table, "0.1.2", "87ad1125f5b70c5dea0307aa633194083eb5182ec537efc94e96af08937e14a8", [:mix], [], "hexpm", "7e99bc7efef806315c7e65640724bf165c3061cdc5d854060f74468367065029"}, + "telemetry": {:hex, :telemetry, "1.3.0", "fedebbae410d715cf8e7062c96a1ef32ec22e764197f70cda73d82778d61e7a2", [:rebar3], [], "hexpm", "7015fc8919dbe63764f4b4b87a95b7c0996bd539e0d499be6ec9d7f3875b79e6"}, + "telemetry_metrics": {:hex, :telemetry_metrics, "1.1.0", "5bd5f3b5637e0abea0426b947e3ce5dd304f8b3bc6617039e2b5a008adc02f8f", [:mix], [{:telemetry, "~> 0.4 or ~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}], "hexpm", "e7b79e8ddfde70adb6db8a6623d1778ec66401f366e9a8f5dd0955c56bc8ce67"}, + "telemetry_registry": {:hex, :telemetry_registry, "0.3.2", "701576890320be6428189bff963e865e8f23e0ff3615eade8f78662be0fc003c", [:mix, :rebar3], [{:telemetry, "~> 1.0", [hex: :telemetry, repo: "hexpm", optional: false]}], "hexpm", "e7ed191eb1d115a3034af8e1e35e4e63d5348851d556646d46ca3d1b4e16bab9"}, + "tentacat": {:hex, :tentacat, "2.5.0", "d0177ae1289faf6814a85aea044bcdc1ca64a4b1f961e44189451d5c9060a662", [:mix], [{:httpoison, "~> 2.0", [hex: :httpoison, repo: "hexpm", optional: false]}, {:jason, "~> 1.2", [hex: :jason, repo: "hexpm", optional: false]}], "hexpm", "c7d3d34a56d5dc870c2155444f7d6cd0e6959dd65c16bb9174442e347f34334f"}, "tls_certificate_check": {:hex, :tls_certificate_check, "1.29.0", "4473005eb0bbdad215d7083a230e2e076f538d9ea472c8009fd22006a4cfc5f6", [:rebar3], [{:ssl_verify_fun, "~> 1.1", [hex: :ssl_verify_fun, repo: "hexpm", optional: false]}], "hexpm", "5b0d0e5cb0f928bc4f210df667304ed91c5bff2a391ce6bdedfbfe70a8f096c5"}, + "typed_struct": {:hex, :typed_struct, "0.3.0", "939789e3c1dca39d7170c87f729127469d1315dcf99fee8e152bb774b17e7ff7", [:mix], [], "hexpm", "c50bd5c3a61fe4e198a8504f939be3d3c85903b382bde4865579bc23111d1b6d"}, + "typed_struct_nimble_options": {:hex, :typed_struct_nimble_options, "0.1.1", "43f621e756341aea1efa8ad6c2f0820dbc38b6cb810cebeb8daa850e3f2b9b1f", [:mix], [{:nimble_options, "~> 1.1.1", [hex: :nimble_options, repo: "hexpm", optional: false]}, {:typed_struct, "~> 0.3.0", [hex: :typed_struct, repo: "hexpm", optional: false]}], "hexpm", "8dccf13d6fe9fbdde3e3a3e3d3fbba678daabeb3b4a6e794fa2ab83e06d0ac3e"}, + "tz": {:hex, :tz, "0.28.1", "717f5ffddfd1e475e2a233e221dc0b4b76c35c4b3650b060c8e3ba29dd6632e9", [:mix], [{:castore, "~> 0.1 or ~> 1.0", [hex: :castore, repo: "hexpm", optional: true]}, {:mint, "~> 1.6", [hex: :mint, repo: "hexpm", optional: true]}], "hexpm", "bfdca1aa1902643c6c43b77c1fb0cb3d744fd2f09a8a98405468afdee0848c8a"}, + "unicode_util_compat": {:hex, :unicode_util_compat, "0.7.1", "a48703a25c170eedadca83b11e88985af08d35f37c6f664d6dcfb106a97782fc", [:rebar3], [], "hexpm", "b3a917854ce3ae233619744ad1e0102e05673136776fb2fa76234f3e03b23642"}, + "uniq": {:hex, :uniq, "0.6.1", "369660ecbc19051be526df3aa85dc393af5f61f45209bce2fa6d7adb051ae03c", [:mix], [{:ecto, "~> 3.0", [hex: :ecto, repo: "hexpm", optional: true]}], "hexpm", "6426c34d677054b3056947125b22e0daafd10367b85f349e24ac60f44effb916"}, + "vega_lite": {:hex, :vega_lite, "0.1.11", "2b261d21618f6fa9f63bb4542f0262982d2e40aea3f83e935788fe172902b3c2", [:mix], [{:table, "~> 0.1.0", [hex: :table, repo: "hexpm", optional: false]}], "hexpm", "d18c3f11369c14bdf36ab53010c06bf5505c221cbcb32faac7420cf6926b3c50"}, + "weather": {:hex, :weather, "0.4.0", "8ca733d3f78cbc81fed23178aa58e38f706e96283930e884514e56fb7e6f6777", [:mix], [{:plug, "~> 1.0", [hex: :plug, repo: "hexpm", optional: false]}, {:req, "~> 0.5.0", [hex: :req, repo: "hexpm", optional: false]}, {:tz, "~> 0.27", [hex: :tz, repo: "hexpm", optional: false]}], "hexpm", "718d7b714d0f2daf4b799515c04025c45757ff08a703246437409432c346a7f7"}, "yamerl": {:hex, :yamerl, "0.10.0", "4ff81fee2f1f6a46f1700c0d880b24d193ddb74bd14ef42cb0bcf46e81ef2f8e", [:rebar3], [], "hexpm", "346adb2963f1051dc837a2364e4acf6eb7d80097c0f53cbdc3046ec8ec4b4e6e"}, "yaml_elixir": {:hex, :yaml_elixir, "2.12.0", "30343ff5018637a64b1b7de1ed2a3ca03bc641410c1f311a4dbdc1ffbbf449c7", [:mix], [{:yamerl, "~> 0.10", [hex: :yamerl, repo: "hexpm", optional: false]}], "hexpm", "ca6bacae7bac917a7155dca0ab6149088aa7bc800c94d0fe18c5238f53b313c6"}, }