chore: add typedialog-ag LLM and agents with MDX

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# TypeDialog Agent Examples
This directory contains example agents demonstrating various capabilities of the TypeDialog Agent system.
## Available Agents
### 1. greeting.agent.mdx
**Purpose**: Simple friendly greeting
**Inputs**: `name` (String)
**LLM**: Claude 3.5 Haiku
**Usage**:
```bash
# CLI
typedialog-ag agents/greeting.agent.mdx
# HTTP
curl -X POST http://localhost:8765/agents/greeting/execute \
-H "Content-Type: application/json" \
-d '{"name":"Alice"}'
```
### 2. code-reviewer.agent.mdx
**Purpose**: Comprehensive code review
**Inputs**: `language` (String), `code` (String)
**LLM**: Claude Opus 4.5
**Validation**: Must contain "## Review" and "## Suggestions"
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/code-reviewer/execute \
-H "Content-Type: application/json" \
-d '{
"language": "rust",
"code": "fn add(a: i32, b: i32) -> i32 { a + b }"
}'
```
### 3. architect.agent.mdx
**Purpose**: Software architecture design
**Inputs**: `feature` (String), `tech_stack?` (String, optional)
**LLM**: Claude Opus 4.5
**Validation**: Must contain "## Architecture", "## Components", "## Data Flow"
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/architect/execute \
-H "Content-Type: application/json" \
-d '{
"feature": "Real-time chat system",
"tech_stack": "Rust, WebSockets, PostgreSQL"
}'
```
### 4. summarizer.agent.mdx
**Purpose**: Text summarization
**Inputs**: `text` (String), `style?` (String, optional)
**LLM**: Claude 3.5 Sonnet
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/summarizer/execute \
-H "Content-Type: application/json" \
-d '{
"text": "Long article text here...",
"style": "technical"
}'
```
### 5. test-generator.agent.mdx
**Purpose**: Generate unit tests
**Inputs**: `language` (String), `function_code` (String)
**LLM**: Claude 3.5 Sonnet
**Validation**: Must contain "test" and "assert"
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/test-generator/execute \
-H "Content-Type: application/json" \
-d '{
"language": "python",
"function_code": "def factorial(n):\\n return 1 if n == 0 else n * factorial(n-1)"
}'
```
### 6. doc-generator.agent.mdx
**Purpose**: Generate technical documentation
**Inputs**: `code` (String), `language` (String)
**LLM**: Claude 3.5 Sonnet
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/doc-generator/execute \
-H "Content-Type: application/json" \
-d '{
"language": "javascript",
"code": "function debounce(fn, delay) { ... }"
}'
```
### 7. translator.agent.mdx
**Purpose**: Language translation
**Inputs**: `text` (String), `source_lang` (String), `target_lang` (String)
**LLM**: Claude 3.5 Sonnet
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/translator/execute \
-H "Content-Type: application/json" \
-d '{
"text": "Hello, how are you?",
"source_lang": "English",
"target_lang": "Spanish"
}'
```
### 8. debugger.agent.mdx
**Purpose**: Debug code issues
**Inputs**: `code` (String), `error` (String), `language` (String)
**LLM**: Claude Opus 4.5
**Validation**: Must contain "## Root Cause" and "## Fix"
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/debugger/execute \
-H "Content-Type: application/json" \
-d '{
"language": "rust",
"code": "let x = vec![1,2,3]; println!(\"{}\", x[5]);",
"error": "index out of bounds: the len is 3 but the index is 5"
}'
```
### 9. refactor.agent.mdx
**Purpose**: Code refactoring
**Inputs**: `code` (String), `language` (String), `goal?` (String, optional)
**LLM**: Claude Opus 4.5
**Validation**: Must contain "## Refactored Code" and "## Changes"
**Usage**:
```bash
curl -X POST http://localhost:8765/agents/refactor/execute \
-H "Content-Type: application/json" \
-d '{
"language": "typescript",
"code": "function calc(a,b,op){if(op==='+')return a+b;if(op==='-')return a-b;}",
"goal": "Improve readability and type safety"
}'
```
## Features Demonstrated
### Input Types
- **Required inputs**: `name`, `code`, `language`
- **Optional inputs**: `style?`, `tech_stack?`, `goal?`
### LLM Models
- **Claude 3.5 Haiku**: Fast, cost-effective (greeting)
- **Claude 3.5 Sonnet**: Balanced performance (summarizer, test-generator, doc-generator, translator)
- **Claude Opus 4.5**: Maximum capability (code-reviewer, architect, debugger, refactor)
### Validation Rules
- **must_contain**: Ensure specific sections in output
- **format**: Enforce output format (markdown, text)
- **min_length/max_length**: Control output size
### Temperature Settings
- **0.3**: Deterministic, factual (code review, debugging, translation)
- **0.4-0.5**: Balanced creativity (architecture, refactoring)
- **0.8**: More creative (greeting)
### Max Tokens
- **150**: Short responses (greeting)
- **500-1000**: Medium responses (summarizer, translator)
- **2000-3000**: Detailed responses (code review, documentation)
- **4000**: Comprehensive responses (architecture)
## Testing Agents
### CLI Testing
```bash
# Validate agent
typedialog-ag validate agents/greeting.agent.mdx
# Transpile to Nickel
typedialog-ag transpile agents/greeting.agent.mdx
# Execute (interactive)
typedialog-ag agents/greeting.agent.mdx
```
### HTTP Server Testing
```bash
# Start server
typedialog-ag serve --port 8765
# Test health
curl http://localhost:8765/health
# Validate agent
curl -X POST http://localhost:8765/validate \
-H "Content-Type: application/json" \
-d '{"agent_file":"agents/greeting.agent.mdx"}'
# Execute agent
curl -X POST http://localhost:8765/agents/greeting/execute \
-H "Content-Type: application/json" \
-d '{"name":"World"}'
```
## Best Practices
1. **Clear Role**: Define specific role in `@agent` directive
2. **Type Inputs**: Declare input types explicitly
3. **Validate Output**: Use `@validate` to ensure quality
4. **Right Model**: Choose LLM based on task complexity
5. **Temperature**: Lower for factual, higher for creative
6. **Token Limits**: Set appropriate max_tokens for task
7. **Prompts**: Be specific and provide clear instructions
8. **Examples**: Include examples in prompt when helpful
## Environment Variables
Ensure you have API keys configured:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
export OPENAI_API_KEY=sk-... # If using OpenAI models
```
## Cache
The system automatically caches transpiled Nickel code:
```bash
# Check cache stats
typedialog-ag cache stats
# Clear cache
typedialog-ag cache clear
```
Cache location: `~/.typeagent/cache/`

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---
@agent {
role: software architect,
llm: claude-opus-4-5-20251101,
max_tokens: 4000,
temperature: 0.5
}
@input feature: String
@input tech_stack?: String
@validate output {
must_contain: ["## Architecture", "## Components", "## Data Flow"],
format: markdown,
min_length: 500
}
---
# Architecture Design Request
**Feature**: {{ feature }}
{% if tech_stack %}
**Tech Stack**: {{ tech_stack }}
{% else %}
**Tech Stack**: Choose appropriate technologies based on requirements
{% endif %}
As a senior software architect, design a robust, scalable architecture for this feature.
Provide:
## Architecture
- High-level system design
- Architectural patterns used
- Why this approach
## Components
- Key components/modules
- Responsibilities of each
- Communication patterns
## Data Flow
- How data moves through the system
- State management approach
- API contracts (if applicable)
## Technical Considerations
- Scalability approach
- Performance considerations
- Security measures
- Trade-offs made
## Implementation Strategy
- Suggested implementation order
- Critical path items
- Risk mitigation
Keep it practical and implementation-ready.

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---
@agent {
role: senior code reviewer,
llm: claude-opus-4-5-20251101,
max_tokens: 2000,
temperature: 0.3
}
@input language: String
@input code: String
@validate output {
must_contain: ["## Review", "## Suggestions"],
format: markdown,
min_length: 100
}
---
# Code Review Request
**Language**: {{ language }}
**Code to review**:
```{{ language }}
{{ code }}
```
Please provide a thorough code review covering:
1. **Code Quality**: Structure, readability, maintainability
2. **Best Practices**: Language-specific conventions and patterns
3. **Potential Issues**: Bugs, edge cases, security concerns
4. **Performance**: Efficiency and optimization opportunities
5. **Suggestions**: Concrete improvements with examples
Format your response with clear sections:
## Review
## Suggestions
## Security Considerations (if applicable)

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---
@agent {
role: debugging expert,
llm: claude-opus-4-5-20251101,
max_tokens: 2000,
temperature: 0.3
}
@input code: String
@input error: String
@input language: String
@validate output {
must_contain: ["## Root Cause", "## Fix"],
format: markdown,
min_length: 150
}
---
# Debug Request
**Language**: {{ language }}
**Code with issue**:
```{{ language }}
{{ code }}
```
**Error/Problem**:
```
{{ error }}
```
Please analyze this issue and provide:
## Root Cause
What's causing the problem and why
## Fix
Corrected code with explanation of changes
## Prevention
How to avoid similar issues in the future
## Testing
How to verify the fix works
Be specific and provide complete, working code.

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---
@agent {
role: technical writer,
llm: claude-3-5-sonnet-20241022,
max_tokens: 3000,
temperature: 0.5
}
@input code: String
@input language: String
@validate output {
must_contain: ["##"],
format: markdown,
min_length: 200
}
---
# Documentation Generation
**Language**: {{ language }}
**Code**:
```{{ language }}
{{ code }}
```
Generate comprehensive documentation for this code including:
## Overview
Brief description of what this code does
## API Reference
- Function/class signatures
- Parameters with types and descriptions
- Return values
- Exceptions/errors
## Usage Examples
Practical examples showing how to use this code
## Implementation Notes
Key implementation details developers should know
## Complexity
Time and space complexity if relevant
Write clear, concise documentation that helps developers understand and use this code effectively.

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---
@agent {
role: friendly assistant,
llm: claude-3-5-haiku-20241022,
max_tokens: 150,
temperature: 0.8
}
@input name: String
@validate output {
min_length: 10,
max_length: 300,
format: text
}
---
Hello {{ name }}!
Please respond with a warm, friendly greeting. Make it personal and cheerful.
Keep it brief (2-3 sentences).

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---
@agent {
role: refactoring specialist,
llm: claude-opus-4-5-20251101,
max_tokens: 3000,
temperature: 0.4
}
@input code: String
@input language: String
@input goal?: String
@validate output {
must_contain: ["## Refactored Code", "## Changes"],
format: markdown,
min_length: 200
}
---
# Refactoring Request
**Language**: {{ language }}
**Current code**:
```{{ language }}
{{ code }}
```
{% if goal %}
**Refactoring goal**: {{ goal }}
{% else %}
**Goal**: Improve code quality, readability, and maintainability
{% endif %}
Please refactor this code following these principles:
- DRY (Don't Repeat Yourself)
- SOLID principles
- Clean code practices
- Language-specific idioms
Provide:
## Refactored Code
Complete refactored version
## Changes Made
Specific improvements with rationale
## Benefits
How the refactored code is better
## Considerations
Any trade-offs or notes about the refactoring

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---
@agent {
role: content summarizer,
llm: claude-3-5-sonnet-20241022,
max_tokens: 500,
temperature: 0.3
}
@input text: String
@input style?: String
@validate output {
max_length: 1000,
format: text,
min_length: 50
}
---
# Summarization Task
**Content to summarize**:
{{ text }}
{% if style %}
**Requested style**: {{ style }}
{% else %}
**Style**: Concise and clear
{% endif %}
Please provide a well-structured summary that:
- Captures the key points
- Maintains accuracy
- Is easy to understand
- Follows the requested style
Use bullet points for clarity if appropriate.

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---
@agent {
role: test engineer,
llm: claude-3-5-sonnet-20241022,
max_tokens: 2000,
temperature: 0.4
}
@input language: String
@input function_code: String
@validate output {
must_contain: ["test", "assert"],
format: text,
min_length: 100
}
---
# Test Generation Request
**Language**: {{ language }}
**Function to test**:
```{{ language }}
{{ function_code }}
```
Generate comprehensive unit tests for this function covering:
1. **Happy path**: Normal expected usage
2. **Edge cases**: Boundary conditions, empty inputs, etc.
3. **Error cases**: Invalid inputs, error handling
4. **Special cases**: Any language-specific considerations
Provide:
- Complete, runnable test code
- Clear test names describing what's being tested
- Assertions that verify expected behavior
- Comments explaining non-obvious test cases
Use idiomatic {{ language }} testing conventions.

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---
@agent {
role: translator,
llm: claude-3-5-sonnet-20241022,
max_tokens: 1000,
temperature: 0.3
}
@input text: String
@input source_lang: String
@input target_lang: String
@validate output {
min_length: 5,
format: text
}
---
# Translation Task
Translate the following text from {{ source_lang }} to {{ target_lang }}.
**Source text** ({{ source_lang }}):
{{ text }}
Requirements:
- Maintain the original meaning and tone
- Use natural, idiomatic {{ target_lang }}
- Preserve any technical terms appropriately
- Keep formatting if present
Provide only the translation, no explanations.

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# typedialog-agent
> Type-safe AI agent execution with 3-layer validation pipeline
Part of the [TypeDialog](https://github.com/yourusername/typedialog) ecosystem.
## Features
- **3-Layer Pipeline**: MDX → Nickel → MD with validation at each step
- **Type Safety**: Compile-time type checking via Nickel
- **Multi-Format**: .agent.mdx, .agent.ncl, .agent.md support
- **CLI + Server**: Execute locally or via HTTP API
- **Cache Layer**: Memory + disk caching for fast re-execution
- **Integration**: Works with typedialog-ai for form-based agent creation
## Architecture
```
Layer 1: Markup Parser
.agent.mdx → AST
Parse @directives, {{variables}}, markdown
Layer 2: Nickel Transpiler + Evaluator
AST → Nickel code → Type check → AgentDefinition
Layer 3: Executor
AgentDefinition + Inputs → LLM → Validated Output
```
## Quick Start
### CLI Usage
```bash
# Execute agent
typeagent architect.agent.mdx --input feature_name="authentication"
# Transpile to Nickel (inspect generated code)
typeagent transpile architect.agent.mdx -o architect.agent.ncl
# Validate without execution
typeagent validate architect.agent.mdx
# Start HTTP server
typeagent serve --port 8765
```
### Programmatic Usage
```rust
use typedialog_ag_core::{AgentLoader, AgentFormat};
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let loader = AgentLoader::new();
// Load agent
let agent = loader.load(Path::new("architect.agent.mdx")).await?;
// Execute with inputs
let inputs = [("feature_name", "auth")].into_iter()
.map(|(k, v)| (k.to_string(), serde_json::Value::String(v.to_string())))
.collect();
let result = loader.execute(&agent, inputs).await?;
println!("{}", result.output);
Ok(())
}
```
## Integration with TypeDialog Ecosystem
### With typedialog-ai
```bash
# 1. Create agent using AI-assisted form
typedialog form agent-builder.toml --backend ai
# → Generates architect.agent.mdx
# 2. Execute with typeagent
typeagent architect.agent.mdx
```
### With Vapora (MCP Plugin)
```rust
// Vapora uses typedialog-ag-core as library
use typedialog_ag_core::AgentLoader;
let loader = AgentLoader::new();
let agent = loader.load(Path::new("agents/architect.agent.mdx")).await?;
// Execute via Vapora orchestration
```
## Project Structure
```
typedialog-agent/
├── typedialog-ag-core/ # Core library (reusable)
├── typedialog-ag/ # CLI binary
└── typedialog-ag-server/ # HTTP server
```
## Documentation
- [Implementation Plan](../../.coder/2025-12-23-typedialog-agent-implementation.plan.md)
- [Markup Syntax](./docs/MARKUP_SYNTAX.md)
- [Nickel Integration](./docs/nickel.md)
- [HTTP API](./docs/API.md)
## License
MIT

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# TypeAgent Quick Start
Get started with TypeAgent in 5 minutes.
## Prerequisites
- Rust toolchain (1.75+)
- Anthropic API key
## Setup
### 1. Set API Key
```bash
export ANTHROPIC_API_KEY=your-api-key-here
```
### 2. Build TypeAgent
```bash
cd crates/typedialog-agent/typedialog-ag
cargo build --release
```
### 3. Add to PATH (optional)
```bash
export PATH="$PWD/target/release:$PATH"
```
## Your First Agent
### Create an Agent File
Create `hello.agent.mdx`:
```markdown
---
@agent {
role: friendly assistant,
llm: claude-3-5-haiku-20241022
}
@input name: String
---
Say hello to {{ name }} in a creative and friendly way!
```
### Run It
```bash
typeagent hello.agent.mdx
```
You'll see:
```
🤖 TypeAgent Executor
✓ Parsed agent definition
✓ Transpiled to Nickel
✓ Evaluated agent definition
Agent Configuration:
Role: friendly assistant
Model: claude-3-5-haiku-20241022
Max tokens: 4096
Temperature: 0.7
name (String): Alice█
```
Type a name and press Enter. The agent will execute and show the response!
## Next Steps
### Try the Examples
```bash
# Simple greeting
typeagent tests/fixtures/simple.agent.mdx --yes
# Creative haiku
typeagent tests/fixtures/haiku.agent.mdx
```
### Validate Before Running
```bash
typeagent validate hello.agent.mdx
```
### See the Nickel Code
```bash
typeagent transpile hello.agent.mdx
```
## Common Workflows
### Development Workflow
```bash
# 1. Write your agent
vim agent.mdx
# 2. Validate it
typeagent validate agent.mdx
# 3. Test with verbose output
typeagent agent.mdx --verbose
# 4. Run in production
typeagent agent.mdx
```
### Quick Iteration
Use `--yes` to skip prompts during development:
```bash
# Edit agent.mdx
# Run without prompts
typeagent agent.mdx --yes
```
## Advanced Features
### Context Injection
Import files into your agent:
```markdown
@import "./docs/**/*.md" as documentation
@shell "git log --oneline -5" as recent_commits
```
### Output Validation
Ensure output meets requirements:
```markdown
@validate output {
must_contain: ["Security", "Performance"],
format: markdown,
min_length: 100
}
```
### Conditional Logic
Use Tera template syntax:
```markdown
{% if has_description %}
Description: {{ description }}
{% endif %}
```
## Troubleshooting
### "ANTHROPIC_API_KEY not set"
```bash
export ANTHROPIC_API_KEY=sk-ant-...
```
### "Failed to parse agent MDX"
Check your frontmatter syntax:
```markdown
---
@agent {
role: assistant, # <- comma required
llm: claude-3-5-haiku-20241022
}
---
```
### "Permission denied"
```bash
chmod +x ./target/release/typeagent
```
## Learn More
- [CLI Documentation](typedialog-ag/README.md)
- [LLM Integration Guide](typedialog-ag-core/LLM_INTEGRATION.md)
- [Example Agents](typedialog-ag-core/tests/fixtures/)
## Support
- GitHub Issues: https://github.com/jesusperezlorenzo/typedialog/issues
- API Docs: `cargo doc --open --package typedialog-ag-core`
## Next Example: Architecture Agent
Create `architect.agent.mdx`:
```markdown
---
@agent {
role: software architect,
llm: claude-3-5-sonnet-20241022
}
@input feature_name: String
@input requirements?: String
@validate output {
must_contain: ["## Architecture", "## Components"],
format: markdown,
min_length: 200
}
---
# Architecture Design: {{ feature_name }}
You are an experienced software architect. Design a comprehensive architecture for:
**Feature**: {{ feature_name }}
{% if requirements %}
**Requirements**: {{ requirements }}
{% endif %}
Provide:
1. High-level architecture overview
2. Component breakdown
3. Data flow
4. Technology recommendations
Use clear markdown formatting with sections.
```
Run it:
```bash
typeagent architect.agent.mdx
```
The agent will prompt for inputs and generate a complete architecture design!

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[package]
name = "typedialog-ag-core"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description = "Core library for type-safe AI agent execution with MDX → Nickel → MD pipeline"
keywords.workspace = true
categories.workspace = true
[dependencies]
# Async
tokio = { workspace = true }
futures = { workspace = true }
async-trait = { workspace = true }
# Nickel
nickel-lang-core = { workspace = true }
# Templates
tera = { workspace = true }
# Serialization
serde = { workspace = true }
serde_json = { workspace = true }
serde_yaml = { workspace = true }
toml = { workspace = true }
# HTTP Client
reqwest = { workspace = true }
# Glob & Files
globset = { workspace = true }
ignore = { workspace = true }
# Cache
lru = { workspace = true }
sha2 = { workspace = true }
hex = { workspace = true }
bincode = { workspace = true }
# Parsing
nom = { workspace = true }
# Error handling
thiserror = { workspace = true }
anyhow = { workspace = true }
# Logging
tracing = { workspace = true }
# Utilities
uuid = { workspace = true }
chrono = { workspace = true }
dirs = { workspace = true }
[dev-dependencies]
proptest.workspace = true
criterion.workspace = true
[features]
default = ["markup", "nickel", "cache"]
markup = [] # MDX parsing + transpiler
nickel = [] # Nickel evaluation
markdown = [] # Legacy .agent.md support
cache = [] # Cache layer
[lib]
name = "typedialog_ag_core"
path = "src/lib.rs"

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# LLM Integration
TypeAgent Core now includes full LLM execution capabilities, allowing agents to call real language models.
## Supported Providers
### Claude (Anthropic)
- ✅ Fully supported with streaming
- Models: `claude-3-5-haiku-20241022`, `claude-3-5-sonnet-20241022`, `claude-opus-4`, etc.
- Requires: `ANTHROPIC_API_KEY` environment variable
- Features: Full SSE streaming, token usage tracking
### OpenAI
- ✅ Fully supported with streaming
- Models: `gpt-4o`, `gpt-4o-mini`, `gpt-4-turbo`, `o1`, `o3`, `o4-mini`, etc.
- Requires: `OPENAI_API_KEY` environment variable
- Features: Full SSE streaming, token usage tracking
### Google Gemini
- ✅ Fully supported with streaming
- Models: `gemini-2.0-flash-exp`, `gemini-1.5-pro`, `gemini-1.5-flash`, etc.
- Requires: `GEMINI_API_KEY` or `GOOGLE_API_KEY` environment variable
- Features: Full JSON streaming, token usage tracking
- Note: Assistant role is mapped to "model" in Gemini API
### Ollama (Local Models)
- ✅ Fully supported with streaming
- Models: `llama2`, `mistral`, `phi`, `codellama`, `mixtral`, `qwen`, etc.
- Requires: Ollama running locally (default: http://localhost:11434)
- Optional: `OLLAMA_BASE_URL` to override endpoint
- Features: Full JSON streaming, token usage tracking, privacy (local execution)
- Note: No API key required - runs entirely on your machine
## Setup
### 1. Set API Key
**For Claude:**
```bash
export ANTHROPIC_API_KEY=your-api-key-here
```
**For OpenAI:**
```bash
export OPENAI_API_KEY=your-api-key-here
```
**For Gemini:**
```bash
export GEMINI_API_KEY=your-api-key-here
# Or use GOOGLE_API_KEY
export GOOGLE_API_KEY=your-api-key-here
```
**For Ollama (local models):**
```bash
# Install and start Ollama first
# Download from: https://ollama.ai
ollama serve # Start the Ollama server
# Pull a model (in another terminal)
ollama pull llama2
# Optional: Override default URL
export OLLAMA_BASE_URL=http://localhost:11434
```
### 2. Create Agent MDX File
```markdown
---
@agent {
role: assistant,
llm: claude-3-5-haiku-20241022
}
---
Hello {{ name }}! How can I help you today?
```
### 3. Execute Agent
```rust
use typedialog_ag_core::{MarkupParser, NickelTranspiler, NickelEvaluator, AgentExecutor};
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// Parse MDX
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content)?;
// Transpile to Nickel
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast)?;
// Evaluate to AgentDefinition
let evaluator = NickelEvaluator::new();
let agent_def = evaluator.evaluate(&nickel_code)?;
// Execute with LLM
let executor = AgentExecutor::new();
let mut inputs = HashMap::new();
inputs.insert("name".to_string(), serde_json::json!("Alice"));
let result = executor.execute(&agent_def, inputs).await?;
println!("Response: {}", result.output);
println!("Tokens: {}", result.metadata.tokens.unwrap_or(0));
Ok(())
}
```
## Configuration
Agent configuration is specified in the MDX frontmatter:
```yaml
@agent {
role: creative writer, # System prompt role
llm: claude-3-5-haiku-20241022, # Model name
tools: [], # Tool calling (future)
max_tokens: 4096, # Optional (default: 4096)
temperature: 0.7 # Optional (default: 0.7)
}
```
## LLM Provider Architecture
### Provider Trait
```rust
#[async_trait]
pub trait LlmProvider: Send + Sync {
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse>;
fn name(&self) -> &str;
}
```
### Request/Response
```rust
pub struct LlmRequest {
pub model: String,
pub messages: Vec<LlmMessage>,
pub max_tokens: Option<usize>,
pub temperature: Option<f64>,
pub system: Option<String>,
}
pub struct LlmResponse {
pub content: String,
pub model: String,
pub usage: Option<TokenUsage>,
}
```
### Automatic Provider Selection
The executor automatically selects the correct provider based on model name:
- `claude-*`, `anthropic-*` → ClaudeProvider
- `gpt-*`, `o1-*`, `o3-*`, `o4-*` → OpenAIProvider
- `gemini-*` → GeminiProvider
- `llama*`, `mistral*`, `phi*`, `codellama*`, `mixtral*`, `qwen*`, etc. → OllamaProvider
## Examples
### Run Complete Pipeline
```bash
cargo run --example llm_execution
```
### Compare All Providers
```bash
# Run all four providers with the same prompt
cargo run --example provider_comparison
# Run specific provider only
cargo run --example provider_comparison claude
cargo run --example provider_comparison openai
cargo run --example provider_comparison gemini
cargo run --example provider_comparison ollama
```
### Run with Test (requires API key)
```bash
cargo test --package typedialog-ag-core -- test_execute_with_real_llm --exact --ignored --nocapture
```
### Integration Test
```bash
cargo test --package typedialog-ag-core --test simple_integration_test -- test_complete_pipeline_with_llm --exact --ignored --nocapture
```
## Error Handling
```rust
match executor.execute(&agent_def, inputs).await {
Ok(result) => {
if !result.validation_passed {
eprintln!("Validation errors: {:?}", result.validation_errors);
}
println!("Output: {}", result.output);
}
Err(e) => {
if e.to_string().contains("ANTHROPIC_API_KEY") {
eprintln!("Error: API key not set");
} else {
eprintln!("Execution failed: {}", e);
}
}
}
```
## Token Usage Tracking
All LLM responses include token usage information:
```rust
let result = executor.execute(&agent_def, inputs).await?;
if let Some(tokens) = result.metadata.tokens {
println!("Tokens used: {}", tokens);
}
if let Some(usage) = response.usage {
println!("Input tokens: {}", usage.input_tokens);
println!("Output tokens: {}", usage.output_tokens);
println!("Total tokens: {}", usage.total_tokens);
}
```
## Context Injection
Agents can load context from files, URLs, and shell commands before LLM execution:
```markdown
---
@agent {
role: code reviewer,
llm: claude-3-5-sonnet-20241022
}
@import "./src/**/*.rs" as source_code
@shell "git diff HEAD~1" as recent_changes
---
Review the following code:
**Source Code:**
{{ source_code }}
**Recent Changes:**
{{ recent_changes }}
Provide security and performance analysis.
```
The executor loads all context before calling the LLM, so the model receives the fully rendered prompt with all imported content.
## Validation
Output validation runs automatically after LLM execution:
```markdown
---
@validate output {
must_contain: ["Security", "Performance"],
format: markdown,
min_length: 100
}
---
```
Validation results are included in `ExecutionResult`:
```rust
if !result.validation_passed {
for error in result.validation_errors {
eprintln!("Validation error: {}", error);
}
}
```
## Cost Optimization
### Use Appropriate Models
- `claude-3-5-haiku-20241022`: Fast, cheap, good for simple tasks
- `claude-3-5-sonnet-20241022`: Balanced performance and cost
- `claude-opus-4`: Most capable, highest cost
### Limit Token Usage
```rust
agent_def.config.max_tokens = 500; // Limit response length
```
### Cache Context
The executor supports context caching to avoid re-loading files on each execution (implementation varies by provider).
## Testing Without API Key
Tests that require real LLM execution are marked with `#[ignore]`:
```bash
# Run only non-LLM tests
cargo test --package typedialog-ag-core
# Run LLM tests (requires ANTHROPIC_API_KEY)
cargo test --package typedialog-ag-core -- --ignored
```
## Implementation Files
- **Provider Trait**: `src/llm/provider.rs`
- **Claude Client**: `src/llm/claude.rs`
- **OpenAI Client**: `src/llm/openai.rs`
- **Gemini Client**: `src/llm/gemini.rs`
- **Ollama Client**: `src/llm/ollama.rs`
- **Executor Integration**: `src/executor/mod.rs`
- **Example**: `examples/llm_execution.rs`
- **Multi-Provider Demo**: `examples/provider_comparison.rs`
- **Tests**: `tests/simple_integration_test.rs`
## Streaming Support
All four providers (Claude, OpenAI, Gemini, Ollama) support real-time streaming:
```rust
use typedialog_ag_core::AgentExecutor;
let executor = AgentExecutor::new();
let result = executor.execute_streaming(&agent_def, inputs, |chunk| {
print!("{}", chunk);
std::io::stdout().flush().unwrap();
}).await?;
println!("\n\nFinal output: {}", result.output);
println!("Tokens: {:?}", result.metadata.tokens);
```
The CLI automatically uses streaming for real-time token display.
### Token Usage in Streaming
- **Claude**: ✅ Provides token usage in stream (via `message_delta` event)
- **OpenAI**: ❌ No token usage in stream (API limitation - only in non-streaming mode)
- **Gemini**: ✅ Provides token usage in stream (via `usageMetadata` in final chunk)
- **Ollama**: ✅ Provides token usage in stream (via `prompt_eval_count`/`eval_count` in done event)

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//! Example demonstrating complete LLM execution pipeline
//!
//! This example shows how to:
//! 1. Parse an MDX agent file
//! 2. Transpile to Nickel
//! 3. Evaluate to AgentDefinition
//! 4. Execute with real LLM (Claude)
//!
//! Requirements:
//! - Set ANTHROPIC_API_KEY environment variable
//!
//! Run with:
//! ```bash
//! export ANTHROPIC_API_KEY=your-api-key
//! cargo run --example llm_execution
//! ```
use std::collections::HashMap;
use typedialog_ag_core::executor::AgentExecutor;
use typedialog_ag_core::nickel::NickelEvaluator;
use typedialog_ag_core::parser::MarkupParser;
use typedialog_ag_core::transpiler::NickelTranspiler;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
println!("=== TypeAgent LLM Execution Example ===\n");
// Define a simple agent in MDX format
let mdx_content = r#"---
@agent {
role: creative writer,
llm: claude-3-5-haiku-20241022
}
---
Write a haiku about {{ topic }}. Return only the haiku, nothing else.
"#;
println!("1. Parsing MDX agent definition...");
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content)?;
println!(" ✓ Parsed {} AST nodes\n", ast.nodes.len());
println!("2. Transpiling to Nickel...");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast)?;
println!(" ✓ Generated Nickel code:\n");
println!("{}\n", nickel_code);
println!("3. Evaluating Nickel to AgentDefinition...");
let evaluator = NickelEvaluator::new();
let mut agent_def = evaluator.evaluate(&nickel_code)?;
// Configure for production
agent_def.config.max_tokens = 150;
agent_def.config.temperature = 0.8;
println!(" ✓ Agent configured:");
println!(" - Role: {}", agent_def.config.role);
println!(" - Model: {}", agent_def.config.llm);
println!(" - Max tokens: {}", agent_def.config.max_tokens);
println!(" - Temperature: {}\n", agent_def.config.temperature);
println!("4. Executing agent with LLM...");
let executor = AgentExecutor::new();
// Provide input
let mut inputs = HashMap::new();
inputs.insert(
"topic".to_string(),
serde_json::json!("programming in Rust"),
);
// Execute (calls Claude API)
println!(" → Calling Claude API...");
let result = executor.execute(&agent_def, inputs).await?;
println!("\n=== RESULT ===\n");
println!("{}\n", result.output);
println!("=== METADATA ===");
println!("Duration: {}ms", result.metadata.duration_ms.unwrap_or(0));
println!("Tokens used: {}", result.metadata.tokens.unwrap_or(0));
println!(
"Model: {}",
result
.metadata
.model
.as_ref()
.unwrap_or(&"unknown".to_string())
);
if result.validation_passed {
println!("Validation: ✓ PASSED");
} else {
println!("Validation: ✗ FAILED");
for error in &result.validation_errors {
println!(" - {}", error);
}
}
println!("\n✓ Example completed successfully!");
Ok(())
}

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//! Provider Comparison Demo
//!
//! Demonstrates all three LLM providers (Claude, OpenAI, Gemini) with the same prompt,
//! showing both blocking and streaming modes.
//!
//! Usage:
//! # Run all providers
//! cargo run --example provider_comparison
//!
//! # Run specific provider
//! cargo run --example provider_comparison claude
//! cargo run --example provider_comparison openai
//! cargo run --example provider_comparison gemini
//!
//! Environment variables required:
//! ANTHROPIC_API_KEY - for Claude
//! OPENAI_API_KEY - for OpenAI
//! GEMINI_API_KEY or GOOGLE_API_KEY - for Gemini
use futures::stream::StreamExt;
use std::io::{self, Write};
use std::time::Instant;
use typedialog_ag_core::llm::{
ClaudeProvider, GeminiProvider, LlmMessage, LlmProvider, LlmRequest, MessageRole,
OllamaProvider, OpenAIProvider, StreamChunk,
};
const PROMPT: &str =
"Write a haiku about artificial intelligence. Return only the haiku, nothing else.";
struct ProviderConfig {
name: &'static str,
model: &'static str,
color: &'static str,
}
const CLAUDE_CONFIG: ProviderConfig = ProviderConfig {
name: "Claude",
model: "claude-3-5-haiku-20241022",
color: "\x1b[35m", // Magenta
};
const OPENAI_CONFIG: ProviderConfig = ProviderConfig {
name: "OpenAI",
model: "gpt-4o-mini",
color: "\x1b[32m", // Green
};
const GEMINI_CONFIG: ProviderConfig = ProviderConfig {
name: "Gemini",
model: "gemini-2.0-flash-exp",
color: "\x1b[34m", // Blue
};
const OLLAMA_CONFIG: ProviderConfig = ProviderConfig {
name: "Ollama",
model: "llama2",
color: "\x1b[33m", // Yellow
};
const RESET: &str = "\x1b[0m";
const BOLD: &str = "\x1b[1m";
const DIM: &str = "\x1b[2m";
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let args: Vec<String> = std::env::args().collect();
let provider_filter = args.get(1).map(|s| s.as_str());
println!("{}{}", BOLD, "".repeat(70));
println!("🤖 TypeAgent Multi-Provider Demo");
println!("{}{}\n", "".repeat(70), RESET);
println!("{}Prompt:{} {}\n", BOLD, RESET, PROMPT);
// Determine which providers to run
let run_claude = provider_filter.is_none() || provider_filter == Some("claude");
let run_openai = provider_filter.is_none() || provider_filter == Some("openai");
let run_gemini = provider_filter.is_none() || provider_filter == Some("gemini");
let run_ollama = provider_filter.is_none() || provider_filter == Some("ollama");
// Run blocking mode comparison
println!("{}{}", BOLD, "".repeat(70));
println!("📋 BLOCKING MODE (complete() method)");
println!("{}{}\n", "".repeat(70), RESET);
if run_claude {
run_blocking_demo(&CLAUDE_CONFIG, ClaudeProvider::new()).await;
}
if run_openai {
run_blocking_demo(&OPENAI_CONFIG, OpenAIProvider::new()).await;
}
if run_gemini {
run_blocking_demo(&GEMINI_CONFIG, GeminiProvider::new()).await;
}
if run_ollama {
run_blocking_demo(&OLLAMA_CONFIG, OllamaProvider::new()).await;
}
// Run streaming mode comparison
println!("\n{}{}", BOLD, "".repeat(70));
println!("⚡ STREAMING MODE (stream() method)");
println!("{}{}\n", "".repeat(70), RESET);
if run_claude {
run_streaming_demo(&CLAUDE_CONFIG, ClaudeProvider::new()).await;
}
if run_openai {
run_streaming_demo(&OPENAI_CONFIG, OpenAIProvider::new()).await;
}
if run_gemini {
run_streaming_demo(&GEMINI_CONFIG, GeminiProvider::new()).await;
}
if run_ollama {
run_streaming_demo(&OLLAMA_CONFIG, OllamaProvider::new()).await;
}
// Summary
println!("\n{}{}", BOLD, "".repeat(70));
println!("📊 SUMMARY");
println!("{}{}\n", "".repeat(70), RESET);
println!("{}All four providers support:{}", BOLD, RESET);
println!(" ✅ Blocking requests (complete())");
println!(" ✅ Streaming responses (stream())");
println!(" ✅ Token usage tracking");
println!(" ✅ Error handling");
println!(" ✅ System message support");
println!("\n{}Provider-specific features:{}", BOLD, RESET);
println!(" 🟣 Claude: SSE streaming, usage in stream, cloud");
println!(" 🟢 OpenAI: SSE streaming, no usage in stream, cloud");
println!(" 🔵 Gemini: JSON streaming, usage in stream, cloud, 'model' role");
println!(" 🟡 Ollama: JSON streaming, usage in stream, local models");
Ok(())
}
async fn run_blocking_demo<P: LlmProvider>(
config: &ProviderConfig,
provider_result: Result<P, typedialog_ag_core::error::Error>,
) {
println!(
"{}{}{} ({}){}",
config.color, BOLD, config.name, config.model, RESET
);
println!(
"{}────────────────────────────────────────────────────────────────────{}",
DIM, RESET
);
let provider = match provider_result {
Ok(p) => p,
Err(e) => {
println!("{}❌ Error: {}{}\n", config.color, e, RESET);
return;
}
};
let request = LlmRequest {
model: config.model.to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: PROMPT.to_string(),
}],
max_tokens: Some(100),
temperature: Some(0.7),
system: Some("You are a creative poet.".to_string()),
};
let start = Instant::now();
match provider.complete(request).await {
Ok(response) => {
let duration = start.elapsed();
println!("{}Response:{}", BOLD, RESET);
println!("{}{}{}", config.color, response.content, RESET);
println!("\n{}Metadata:{}", DIM, RESET);
println!(" Duration: {}ms", duration.as_millis());
if let Some(usage) = response.usage {
println!(
" Tokens: {} (in: {}, out: {})",
usage.total_tokens, usage.input_tokens, usage.output_tokens
);
}
println!();
}
Err(e) => {
println!("{}❌ Error: {}{}\n", config.color, e, RESET);
}
}
}
async fn run_streaming_demo<P: LlmProvider>(
config: &ProviderConfig,
provider_result: Result<P, typedialog_ag_core::error::Error>,
) {
println!(
"{}{}{} ({}){}",
config.color, BOLD, config.name, config.model, RESET
);
println!(
"{}────────────────────────────────────────────────────────────────────{}",
DIM, RESET
);
let provider = match provider_result {
Ok(p) => p,
Err(e) => {
println!("{}❌ Error: {}{}\n", config.color, e, RESET);
return;
}
};
let request = LlmRequest {
model: config.model.to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: PROMPT.to_string(),
}],
max_tokens: Some(100),
temperature: Some(0.7),
system: Some("You are a creative poet.".to_string()),
};
let start = Instant::now();
match provider.stream(request).await {
Ok(mut stream) => {
print!("{}Response: {}{}", BOLD, RESET, config.color);
io::stdout().flush().unwrap();
let mut full_output = String::new();
let mut tokens = None;
while let Some(chunk_result) = stream.next().await {
match chunk_result {
Ok(StreamChunk::Content(text)) => {
print!("{}", text);
io::stdout().flush().unwrap();
full_output.push_str(&text);
}
Ok(StreamChunk::Done(metadata)) => {
tokens = metadata.usage.map(|u| u.total_tokens);
}
Ok(StreamChunk::Error(err)) => {
println!("\n{}❌ Stream error: {}{}", config.color, err, RESET);
}
Err(e) => {
println!("\n{}❌ Error: {}{}", config.color, e, RESET);
}
}
}
let duration = start.elapsed();
println!("{}", RESET);
println!("\n{}Metadata:{}", DIM, RESET);
println!(" Duration: {}ms", duration.as_millis());
if let Some(t) = tokens {
println!(" Tokens: {}", t);
}
println!(" Characters streamed: {}", full_output.len());
println!();
}
Err(e) => {
println!("{}❌ Error: {}{}\n", config.color, e, RESET);
}
}
}

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//! Cache layer for agent definitions and transpiled code
//!
//! Two-level cache:
//! - Memory: LRU cache for fast access
//! - Disk: Persistent cache in ~/.typeagent/cache/
use crate::error::{Error, Result};
use lru::LruCache;
use serde::{Deserialize, Serialize};
use sha2::{Digest, Sha256};
use std::fs;
use std::num::NonZeroUsize;
use std::path::{Path, PathBuf};
/// Cache strategy configuration
#[derive(Debug, Clone)]
pub enum CacheStrategy {
/// Memory-only cache (LRU)
Memory {
/// Max entries in LRU cache
max_entries: usize,
},
/// Disk-only cache
Disk {
/// Cache directory
cache_dir: PathBuf,
},
/// Both memory and disk cache
Both {
/// Max entries in memory
max_entries: usize,
/// Disk cache directory
cache_dir: PathBuf,
},
/// No caching
None,
}
impl Default for CacheStrategy {
fn default() -> Self {
Self::Both {
max_entries: 1000,
cache_dir: dirs::home_dir()
.unwrap_or_else(|| PathBuf::from("."))
.join(".typeagent")
.join("cache"),
}
}
}
/// Cached entry metadata
#[derive(Debug, Clone, Serialize, Deserialize)]
struct CacheEntry {
/// File path (for debugging)
file_path: String,
/// File modification time (Unix timestamp)
mtime: u64,
/// Cached Nickel code
nickel_code: String,
}
/// Cache manager
pub struct CacheManager {
strategy: CacheStrategy,
/// In-memory LRU cache
memory_cache: Option<LruCache<String, CacheEntry>>,
}
impl CacheManager {
/// Create a new cache manager with strategy
pub fn new(strategy: CacheStrategy) -> Self {
let memory_cache = match &strategy {
CacheStrategy::Memory { max_entries } | CacheStrategy::Both { max_entries, .. } => {
NonZeroUsize::new(*max_entries).map(LruCache::new)
}
_ => None,
};
Self {
strategy,
memory_cache,
}
}
/// Get cached transpiled Nickel code
///
/// Returns Some(nickel_code) if cache hit and mtime matches, None otherwise
pub fn get_transpiled(&mut self, file_path: &str, mtime: u64) -> Option<String> {
let cache_key = Self::compute_cache_key(file_path);
match &self.strategy {
CacheStrategy::None => None,
CacheStrategy::Memory { .. } => {
// Check memory cache only
self.memory_cache
.as_mut()?
.get(&cache_key)
.and_then(|entry| {
if entry.mtime == mtime {
Some(entry.nickel_code.clone())
} else {
None
}
})
}
CacheStrategy::Disk { cache_dir } => {
// Check disk cache only
self.get_from_disk(cache_dir, &cache_key, mtime)
}
CacheStrategy::Both { cache_dir, .. } => {
// Check memory first
if let Some(entry) = self.memory_cache.as_mut()?.get(&cache_key) {
if entry.mtime == mtime {
return Some(entry.nickel_code.clone());
}
}
// Fall back to disk
let nickel_code = self.get_from_disk(cache_dir, &cache_key, mtime)?;
// Populate memory cache for next access
if let Some(ref mut mem_cache) = self.memory_cache {
mem_cache.put(
cache_key,
CacheEntry {
file_path: file_path.to_string(),
mtime,
nickel_code: nickel_code.clone(),
},
);
}
Some(nickel_code)
}
}
}
/// Cache transpiled Nickel code
pub fn put_transpiled(&mut self, file_path: &str, mtime: u64, nickel_code: &str) -> Result<()> {
let cache_key = Self::compute_cache_key(file_path);
let entry = CacheEntry {
file_path: file_path.to_string(),
mtime,
nickel_code: nickel_code.to_string(),
};
match &self.strategy {
CacheStrategy::None => Ok(()),
CacheStrategy::Memory { .. } => {
// Store in memory only
if let Some(ref mut mem_cache) = self.memory_cache {
mem_cache.put(cache_key, entry);
}
Ok(())
}
CacheStrategy::Disk { cache_dir } => {
// Store on disk only
self.put_to_disk(cache_dir, &cache_key, &entry)
}
CacheStrategy::Both { cache_dir, .. } => {
// Store in both
if let Some(ref mut mem_cache) = self.memory_cache {
mem_cache.put(cache_key.clone(), entry.clone());
}
self.put_to_disk(cache_dir, &cache_key, &entry)
}
}
}
/// Clear all caches
pub fn clear(&mut self) -> Result<()> {
// Clear memory
if let Some(ref mut mem_cache) = self.memory_cache {
mem_cache.clear();
}
// Clear disk
match &self.strategy {
CacheStrategy::Disk { cache_dir } | CacheStrategy::Both { cache_dir, .. } => {
if cache_dir.exists() {
fs::remove_dir_all(cache_dir).map_err(|e| {
Error::cache(
format!("Failed to remove cache directory: {:?}", cache_dir),
e.to_string(),
)
})?;
}
}
_ => {}
}
Ok(())
}
/// Get cache statistics
pub fn stats(&self) -> CacheStats {
let memory_entries = self.memory_cache.as_ref().map(|c| c.len()).unwrap_or(0);
let disk_entries = match &self.strategy {
CacheStrategy::Disk { cache_dir } | CacheStrategy::Both { cache_dir, .. } => {
if cache_dir.exists() {
fs::read_dir(cache_dir)
.ok()
.map(|entries| entries.filter_map(|e| e.ok()).count())
.unwrap_or(0)
} else {
0
}
}
_ => 0,
};
CacheStats {
memory_entries,
disk_entries,
strategy: format!("{:?}", self.strategy),
}
}
/// Compute SHA256 hash of file path for cache key
fn compute_cache_key(file_path: &str) -> String {
let mut hasher = Sha256::new();
hasher.update(file_path.as_bytes());
hex::encode(hasher.finalize())
}
/// Get entry from disk cache
fn get_from_disk(&self, cache_dir: &Path, cache_key: &str, mtime: u64) -> Option<String> {
let cache_file = cache_dir.join(cache_key);
if !cache_file.exists() {
return None;
}
// Read and deserialize
let content = fs::read_to_string(&cache_file).ok()?;
let entry: CacheEntry = serde_json::from_str(&content).ok()?;
// Validate mtime
if entry.mtime != mtime {
// Stale cache - remove it (ignore errors)
fs::remove_file(&cache_file).ok();
return None;
}
Some(entry.nickel_code)
}
/// Write entry to disk cache
fn put_to_disk(&self, cache_dir: &Path, cache_key: &str, entry: &CacheEntry) -> Result<()> {
// Ensure cache directory exists
if !cache_dir.exists() {
fs::create_dir_all(cache_dir).map_err(|e| {
Error::cache(
format!("Failed to create cache directory: {:?}", cache_dir),
e.to_string(),
)
})?;
}
let cache_file = cache_dir.join(cache_key);
// Serialize and write
let content = serde_json::to_string_pretty(entry).map_err(|e| {
Error::cache(
format!("Failed to serialize cache entry for: {}", entry.file_path),
e.to_string(),
)
})?;
fs::write(&cache_file, content).map_err(|e| {
Error::cache(
format!("Failed to write cache file: {:?}", cache_file),
e.to_string(),
)
})?;
Ok(())
}
}
impl Default for CacheManager {
fn default() -> Self {
Self::new(CacheStrategy::default())
}
}
/// Cache statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheStats {
/// Number of entries in memory cache
pub memory_entries: usize,
/// Number of entries in disk cache
pub disk_entries: usize,
/// Cache strategy description
pub strategy: String,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_compute_cache_key() {
let key1 = CacheManager::compute_cache_key("/path/to/agent.mdx");
let key2 = CacheManager::compute_cache_key("/path/to/agent.mdx");
let key3 = CacheManager::compute_cache_key("/different/path.mdx");
// Same path produces same key
assert_eq!(key1, key2);
// Different path produces different key
assert_ne!(key1, key3);
// Keys are hex-encoded SHA256 (64 chars)
assert_eq!(key1.len(), 64);
}
#[test]
fn test_memory_cache_hit() {
let mut cache = CacheManager::new(CacheStrategy::Memory { max_entries: 10 });
let path = "/test/agent.mdx";
let mtime = 12345u64;
let nickel = "{ config = { role = \"test\" } }";
// Put to cache
cache.put_transpiled(path, mtime, nickel).unwrap();
// Get from cache - should hit
let result = cache.get_transpiled(path, mtime);
assert_eq!(result, Some(nickel.to_string()));
}
#[test]
fn test_memory_cache_miss_stale_mtime() {
let mut cache = CacheManager::new(CacheStrategy::Memory { max_entries: 10 });
let path = "/test/agent.mdx";
let mtime = 12345u64;
let nickel = "{ config = { role = \"test\" } }";
// Put to cache
cache.put_transpiled(path, mtime, nickel).unwrap();
// Get with different mtime - should miss
let result = cache.get_transpiled(path, mtime + 1);
assert_eq!(result, None);
}
#[test]
fn test_disk_cache_roundtrip() {
let temp_dir = std::env::temp_dir().join("typeagent-test-cache");
let mut cache = CacheManager::new(CacheStrategy::Disk {
cache_dir: temp_dir.clone(),
});
let path = "/test/agent.mdx";
let mtime = 12345u64;
let nickel = "{ config = { role = \"test\" } }";
// Put to cache
cache.put_transpiled(path, mtime, nickel).unwrap();
// Get from cache - should hit
let result = cache.get_transpiled(path, mtime);
assert_eq!(result, Some(nickel.to_string()));
// Cleanup
cache.clear().unwrap();
}
#[test]
fn test_both_cache_strategy() {
let temp_dir = std::env::temp_dir().join("typeagent-test-cache-both");
let mut cache = CacheManager::new(CacheStrategy::Both {
max_entries: 10,
cache_dir: temp_dir.clone(),
});
let path = "/test/agent.mdx";
let mtime = 12345u64;
let nickel = "{ config = { role = \"test\" } }";
// Put to cache (should go to both memory and disk)
cache.put_transpiled(path, mtime, nickel).unwrap();
// Clear memory cache
if let Some(ref mut mem_cache) = cache.memory_cache {
mem_cache.clear();
}
// Get from cache - should hit from disk and repopulate memory
let result = cache.get_transpiled(path, mtime);
assert_eq!(result, Some(nickel.to_string()));
// Memory should now have the entry
assert_eq!(cache.memory_cache.as_ref().unwrap().len(), 1);
// Cleanup
cache.clear().unwrap();
}
#[test]
fn test_cache_stats() {
let temp_dir = std::env::temp_dir().join("typeagent-test-cache-stats");
let mut cache = CacheManager::new(CacheStrategy::Both {
max_entries: 10,
cache_dir: temp_dir.clone(),
});
// Initially empty
let stats = cache.stats();
assert_eq!(stats.memory_entries, 0);
assert_eq!(stats.disk_entries, 0);
// Add entries
cache.put_transpiled("/test/1.mdx", 111, "code1").unwrap();
cache.put_transpiled("/test/2.mdx", 222, "code2").unwrap();
let stats = cache.stats();
assert_eq!(stats.memory_entries, 2);
assert_eq!(stats.disk_entries, 2);
// Cleanup
cache.clear().unwrap();
}
#[test]
fn test_clear_cache() {
let temp_dir = std::env::temp_dir().join("typeagent-test-cache-clear");
let mut cache = CacheManager::new(CacheStrategy::Both {
max_entries: 10,
cache_dir: temp_dir.clone(),
});
// Add entries
cache.put_transpiled("/test/1.mdx", 111, "code1").unwrap();
cache.put_transpiled("/test/2.mdx", 222, "code2").unwrap();
// Verify they exist
let stats = cache.stats();
assert_eq!(stats.memory_entries, 2);
assert_eq!(stats.disk_entries, 2);
// Clear
cache.clear().unwrap();
// Verify empty
let stats = cache.stats();
assert_eq!(stats.memory_entries, 0);
assert_eq!(stats.disk_entries, 0);
}
#[test]
fn test_none_strategy() {
let mut cache = CacheManager::new(CacheStrategy::None);
let path = "/test/agent.mdx";
let mtime = 12345u64;
let nickel = "{ config = { role = \"test\" } }";
// Put should succeed but do nothing
cache.put_transpiled(path, mtime, nickel).unwrap();
// Get should always return None
let result = cache.get_transpiled(path, mtime);
assert_eq!(result, None);
}
}

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//! Error types for TypeAgent
//!
//! Following M-ERRORS-CANONICAL-STRUCTS: situation-specific error struct with kind enum
use std::error::Error as StdError;
use std::fmt;
pub type Result<T> = std::result::Result<T, Error>;
/// TypeAgent error with context and source chaining
#[derive(Debug)]
pub struct Error {
pub kind: ErrorKind,
pub context: String,
pub source: Option<Box<dyn StdError + Send + Sync>>,
}
/// Error kind taxonomy
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ErrorKind {
/// MDX/Markdown parsing failed
Parse {
line: Option<usize>,
column: Option<usize>,
},
/// AST to Nickel transpilation failed
Transpile { detail: String },
/// Nickel type checking or evaluation failed
NickelEval { detail: String },
/// Agent execution failed
Execution { stage: String },
/// I/O operation failed
Io,
/// JSON/YAML serialization failed
Serialization,
/// Cache operation failed
Cache { operation: String },
/// Output validation failed
Validation { rule: String },
/// File format not supported
UnsupportedFormat { extension: String },
/// File not found
NotFound { path: String },
}
impl Error {
/// Create parse error with location
pub fn parse(message: impl Into<String>, line: Option<usize>, column: Option<usize>) -> Self {
Self {
kind: ErrorKind::Parse { line, column },
context: message.into(),
source: None,
}
}
/// Create transpile error
pub fn transpile(message: impl Into<String>, detail: impl Into<String>) -> Self {
Self {
kind: ErrorKind::Transpile {
detail: detail.into(),
},
context: message.into(),
source: None,
}
}
/// Create Nickel evaluation error
pub fn nickel_eval(message: impl Into<String>, detail: impl Into<String>) -> Self {
Self {
kind: ErrorKind::NickelEval {
detail: detail.into(),
},
context: message.into(),
source: None,
}
}
/// Create execution error
pub fn execution(message: impl Into<String>, stage: impl Into<String>) -> Self {
Self {
kind: ErrorKind::Execution {
stage: stage.into(),
},
context: message.into(),
source: None,
}
}
/// Create I/O error
pub fn io(message: impl Into<String>, detail: impl Into<String>) -> Self {
Self {
kind: ErrorKind::Io,
context: format!("{}: {}", message.into(), detail.into()),
source: None,
}
}
/// Create cache error
pub fn cache(message: impl Into<String>, operation: impl Into<String>) -> Self {
Self {
kind: ErrorKind::Cache {
operation: operation.into(),
},
context: message.into(),
source: None,
}
}
/// Create validation error
pub fn validation(message: impl Into<String>, rule: impl Into<String>) -> Self {
Self {
kind: ErrorKind::Validation { rule: rule.into() },
context: message.into(),
source: None,
}
}
/// Create unsupported format error
pub fn unsupported_format(extension: impl Into<String>) -> Self {
Self {
kind: ErrorKind::UnsupportedFormat {
extension: extension.into(),
},
context: "Unsupported agent file format".to_string(),
source: None,
}
}
/// Create file not found error
pub fn not_found(path: impl Into<String>) -> Self {
Self {
kind: ErrorKind::NotFound { path: path.into() },
context: "Agent file not found".to_string(),
source: None,
}
}
/// Add source error for chaining
pub fn with_source(mut self, source: impl StdError + Send + Sync + 'static) -> Self {
self.source = Some(Box::new(source));
self
}
/// Check if error is parse error
pub fn is_parse(&self) -> bool {
matches!(self.kind, ErrorKind::Parse { .. })
}
/// Check if error is transpile error
pub fn is_transpile(&self) -> bool {
matches!(self.kind, ErrorKind::Transpile { .. })
}
/// Check if error is Nickel evaluation error
pub fn is_nickel_eval(&self) -> bool {
matches!(self.kind, ErrorKind::NickelEval { .. })
}
/// Check if error is execution error
pub fn is_execution(&self) -> bool {
matches!(self.kind, ErrorKind::Execution { .. })
}
/// Check if error is validation error
pub fn is_validation(&self) -> bool {
matches!(self.kind, ErrorKind::Validation { .. })
}
/// Get parse location if available
pub fn parse_location(&self) -> Option<(Option<usize>, Option<usize>)> {
if let ErrorKind::Parse { line, column } = &self.kind {
Some((*line, *column))
} else {
None
}
}
}
impl fmt::Display for Error {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match &self.kind {
ErrorKind::Parse { line, column } => {
write!(f, "Parse error")?;
if let Some(l) = line {
write!(f, " at line {}", l)?;
}
if let Some(c) = column {
write!(f, ", column {}", c)?;
}
write!(f, ": {}", self.context)
}
ErrorKind::Transpile { detail } => {
write!(f, "Transpile error ({}): {}", detail, self.context)
}
ErrorKind::NickelEval { detail } => {
write!(f, "Nickel evaluation error ({}): {}", detail, self.context)
}
ErrorKind::Execution { stage } => {
write!(f, "Execution error at {}: {}", stage, self.context)
}
ErrorKind::Io => {
write!(f, "I/O error: {}", self.context)
}
ErrorKind::Serialization => {
write!(f, "Serialization error: {}", self.context)
}
ErrorKind::Cache { operation } => {
write!(f, "Cache error during {}: {}", operation, self.context)
}
ErrorKind::Validation { rule } => {
write!(f, "Validation failed ({}): {}", rule, self.context)
}
ErrorKind::UnsupportedFormat { extension } => {
write!(f, "Unsupported format '{}': {}", extension, self.context)
}
ErrorKind::NotFound { path } => {
write!(f, "File not found '{}': {}", path, self.context)
}
}
}
}
impl StdError for Error {
fn source(&self) -> Option<&(dyn StdError + 'static)> {
self.source.as_ref().map(|e| e.as_ref() as &dyn StdError)
}
}
/// Conversion from std::io::Error
impl From<std::io::Error> for Error {
fn from(err: std::io::Error) -> Self {
Self {
kind: ErrorKind::Io,
context: err.to_string(),
source: Some(Box::new(err)),
}
}
}
/// Conversion from serde_json::Error
impl From<serde_json::Error> for Error {
fn from(err: serde_json::Error) -> Self {
Self {
kind: ErrorKind::Serialization,
context: err.to_string(),
source: Some(Box::new(err)),
}
}
}
/// Conversion from serde_yaml::Error
impl From<serde_yaml::Error> for Error {
fn from(err: serde_yaml::Error) -> Self {
Self {
kind: ErrorKind::Serialization,
context: err.to_string(),
source: Some(Box::new(err)),
}
}
}

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@ -0,0 +1,829 @@
//! Agent execution layer
//!
//! Executes agents with context injection and output validation
use crate::error::{Error, Result};
use crate::nickel::AgentDefinition;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::process::Command;
use tera::{Context, Tera};
/// Agent execution result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExecutionResult {
/// Generated output from agent
pub output: String,
/// Whether validation passed
pub validation_passed: bool,
/// Validation errors if any
#[serde(default)]
pub validation_errors: Vec<String>,
/// Execution metadata
#[serde(default)]
pub metadata: ExecutionMetadata,
}
/// Execution metadata
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct ExecutionMetadata {
/// Time taken in milliseconds
pub duration_ms: Option<u64>,
/// Token count if available
pub tokens: Option<usize>,
/// Model used
pub model: Option<String>,
}
/// Context data assembled from imports and shell commands
#[derive(Debug, Clone)]
pub struct ContextData {
/// File imports content (alias → content)
pub imports: HashMap<String, String>,
/// Shell command outputs (alias → output)
pub shell_outputs: HashMap<String, String>,
}
/// Agent executor
pub struct AgentExecutor;
impl AgentExecutor {
/// Create a new agent executor
pub fn new() -> Self {
Self
}
/// Execute an agent with given inputs
pub async fn execute(
&self,
agent: &AgentDefinition,
inputs: HashMap<String, serde_json::Value>,
) -> Result<ExecutionResult> {
let start = std::time::Instant::now();
// Load context data
let context_data = self.load_context(agent).await?;
// Render template with inputs and context
let rendered_prompt = self.render_template(agent, &inputs, &context_data)?;
// Execute LLM with rendered prompt
let (output, tokens) = self.execute_llm(agent, &rendered_prompt).await?;
// Validate output
let validation_errors = self.validate_output(&output, agent)?;
let validation_passed = validation_errors.is_empty();
let duration_ms = start.elapsed().as_millis() as u64;
Ok(ExecutionResult {
output,
validation_passed,
validation_errors,
metadata: ExecutionMetadata {
duration_ms: Some(duration_ms),
tokens,
model: Some(agent.config.llm.clone()),
},
})
}
/// Execute an agent with streaming output
///
/// The callback is called for each chunk of output as it arrives.
/// Returns the final execution result when the stream completes.
pub async fn execute_streaming<F>(
&self,
agent: &AgentDefinition,
inputs: HashMap<String, serde_json::Value>,
mut on_chunk: F,
) -> Result<ExecutionResult>
where
F: FnMut(&str),
{
use crate::llm::{create_provider, LlmMessage, LlmRequest, MessageRole, StreamChunk};
use futures::stream::StreamExt;
let start = std::time::Instant::now();
// Load context data
let context_data = self.load_context(agent).await?;
// Render template with inputs and context
let rendered_prompt = self.render_template(agent, &inputs, &context_data)?;
// Create provider and build request
let provider = create_provider(&agent.config.llm)?;
let request = LlmRequest {
model: agent.config.llm.clone(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: rendered_prompt.clone(),
}],
max_tokens: Some(agent.config.max_tokens),
temperature: Some(agent.config.temperature),
system: Some(format!("You are a {}.", agent.config.role)),
};
// Stream the response
let mut stream = provider.stream(request).await?;
let mut full_output = String::new();
let mut tokens = None;
while let Some(chunk_result) = stream.next().await {
match chunk_result? {
StreamChunk::Content(text) => {
full_output.push_str(&text);
on_chunk(&text);
}
StreamChunk::Done(metadata) => {
tokens = metadata.usage.map(|u| u.total_tokens);
}
StreamChunk::Error(err) => {
return Err(Error::execution("Streaming error", err));
}
}
}
// Validate output
let validation_errors = self.validate_output(&full_output, agent)?;
let validation_passed = validation_errors.is_empty();
let duration_ms = start.elapsed().as_millis() as u64;
Ok(ExecutionResult {
output: full_output,
validation_passed,
validation_errors,
metadata: ExecutionMetadata {
duration_ms: Some(duration_ms),
tokens,
model: Some(agent.config.llm.clone()),
},
})
}
/// Execute LLM with the rendered prompt
async fn execute_llm(
&self,
agent: &AgentDefinition,
prompt: &str,
) -> Result<(String, Option<usize>)> {
use crate::llm::{create_provider, LlmMessage, LlmRequest, MessageRole};
// Create provider based on model name
let provider = create_provider(&agent.config.llm)?;
// Build request
let request = LlmRequest {
model: agent.config.llm.clone(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: prompt.to_string(),
}],
max_tokens: Some(agent.config.max_tokens),
temperature: Some(agent.config.temperature),
system: Some(format!("You are a {}.", agent.config.role)),
};
// Execute request
let response = provider.complete(request).await?;
// Extract token count
let tokens = response.usage.as_ref().map(|u| u.total_tokens);
Ok((response.content, tokens))
}
/// Load context from imports and shell commands
async fn load_context(&self, agent: &AgentDefinition) -> Result<ContextData> {
let mut imports = HashMap::new();
let mut shell_outputs = HashMap::new();
if let Some(context) = &agent.context {
// Load file imports
for import_path in &context.imports {
let content = self.load_import(import_path).await?;
imports.insert(import_path.clone(), content);
}
// Execute shell commands
for shell_cmd in &context.shell_commands {
let output = self.execute_shell_command(shell_cmd)?;
shell_outputs.insert(shell_cmd.clone(), output);
}
}
Ok(ContextData {
imports,
shell_outputs,
})
}
/// Load content from import path (file, glob, or URL)
async fn load_import(&self, path: &str) -> Result<String> {
// Check if it's a URL
if path.starts_with("http://") || path.starts_with("https://") {
return self.load_url(path).await;
}
// Check if it's a glob pattern
if path.contains('*') {
return self.load_glob(path);
}
// Regular file path
std::fs::read_to_string(path).map_err(|e| {
Error::execution(
format!("Failed to read import file: {}", path),
e.to_string(),
)
})
}
/// Load content from URL
async fn load_url(&self, url: &str) -> Result<String> {
let response = reqwest::get(url).await.map_err(|e| {
Error::execution(format!("Failed to fetch URL: {}", url), e.to_string())
})?;
response.text().await.map_err(|e| {
Error::execution(
format!("Failed to read response from URL: {}", url),
e.to_string(),
)
})
}
/// Load files matching glob pattern
fn load_glob(&self, pattern: &str) -> Result<String> {
use globset::GlobBuilder;
use ignore::WalkBuilder;
let glob = GlobBuilder::new(pattern)
.build()
.map_err(|e| {
Error::execution(format!("Invalid glob pattern: {}", pattern), e.to_string())
})?
.compile_matcher();
let mut contents = Vec::new();
// Extract base path from pattern
let base_path = pattern.split("**").next().unwrap_or(".");
for entry in WalkBuilder::new(base_path).build() {
let entry = entry.map_err(|e| {
Error::execution(
format!("Failed to walk directory: {}", base_path),
e.to_string(),
)
})?;
if entry.file_type().map(|ft| ft.is_file()).unwrap_or(false)
&& glob.is_match(entry.path())
{
let content = std::fs::read_to_string(entry.path()).map_err(|e| {
Error::execution(
format!("Failed to read file: {:?}", entry.path()),
e.to_string(),
)
})?;
contents.push(format!("// File: {}\n{}", entry.path().display(), content));
}
}
if contents.is_empty() {
return Err(Error::execution(
format!("No files matched glob pattern: {}", pattern),
"glob returned empty",
));
}
Ok(contents.join("\n\n"))
}
/// Execute shell command and capture output
fn execute_shell_command(&self, command: &str) -> Result<String> {
let output = Command::new("sh")
.arg("-c")
.arg(command)
.output()
.map_err(|e| {
Error::execution(
format!("Failed to execute shell command: {}", command),
e.to_string(),
)
})?;
if !output.status.success() {
let stderr = String::from_utf8_lossy(&output.stderr);
return Err(Error::execution(
format!("Shell command failed: {}", command),
stderr.to_string(),
));
}
Ok(String::from_utf8_lossy(&output.stdout).to_string())
}
/// Render template with inputs and context
fn render_template(
&self,
agent: &AgentDefinition,
inputs: &HashMap<String, serde_json::Value>,
context_data: &ContextData,
) -> Result<String> {
let mut tera = Tera::default();
// Add template
tera.add_raw_template("agent", &agent.template)
.map_err(|e| Error::execution("Failed to parse template", e.to_string()))?;
// Build context
let mut ctx = Context::new();
// Add inputs
for (key, value) in inputs {
ctx.insert(key, value);
}
// Add agent config
ctx.insert("role", &agent.config.role);
ctx.insert("llm", &agent.config.llm);
ctx.insert("tools", &agent.config.tools);
// Add imports
for (alias, content) in &context_data.imports {
ctx.insert(alias, content);
}
// Add shell outputs
for (alias, output) in &context_data.shell_outputs {
ctx.insert(alias, output);
}
// Render
tera.render("agent", &ctx)
.map_err(|e| Error::execution("Failed to render template", e.to_string()))
}
/// Validate output against agent validation rules
pub fn validate_output(&self, output: &str, agent: &AgentDefinition) -> Result<Vec<String>> {
let mut errors = Vec::new();
if let Some(validation) = &agent.validation {
// Check must_contain
for pattern in &validation.must_contain {
if !output.contains(pattern) {
errors.push(format!("Output must contain: {}", pattern));
}
}
// Check must_not_contain
for pattern in &validation.must_not_contain {
if output.contains(pattern) {
errors.push(format!("Output must not contain: {}", pattern));
}
}
// Check min_length
if let Some(min_len) = validation.min_length {
if output.len() < min_len {
errors.push(format!(
"Output too short: {} chars (minimum: {})",
output.len(),
min_len
));
}
}
// Check max_length
if let Some(max_len) = validation.max_length {
if output.len() > max_len {
errors.push(format!(
"Output too long: {} chars (maximum: {})",
output.len(),
max_len
));
}
}
// Check format
match validation.format.as_str() {
"json" => {
if serde_json::from_str::<serde_json::Value>(output).is_err() {
errors.push("Output is not valid JSON".to_string());
}
}
"yaml" => {
if serde_yaml::from_str::<serde_yaml::Value>(output).is_err() {
errors.push("Output is not valid YAML".to_string());
}
}
_ => {
// Markdown, text, and other formats are permissive - any text is valid
}
}
}
Ok(errors)
}
}
impl Default for AgentExecutor {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::nickel::{AgentConfig, ValidationRules};
#[test]
fn test_validate_output_must_contain() {
let executor = AgentExecutor::new();
let agent = AgentDefinition {
config: AgentConfig {
role: "tester".to_string(),
llm: "claude".to_string(),
tools: vec![],
max_tokens: 4096,
temperature: 0.7,
},
inputs: HashMap::new(),
context: None,
validation: Some(ValidationRules {
must_contain: vec!["test".to_string(), "pass".to_string()],
must_not_contain: vec![],
format: "markdown".to_string(),
min_length: None,
max_length: None,
}),
template: "".to_string(),
};
let output = "This is a test and it should pass";
let errors = executor.validate_output(output, &agent).unwrap();
assert!(errors.is_empty());
let output_bad = "This is missing something";
let errors = executor.validate_output(output_bad, &agent).unwrap();
assert!(!errors.is_empty());
assert!(errors[0].contains("must contain"));
}
#[test]
fn test_validate_output_length() {
let executor = AgentExecutor::new();
let agent = AgentDefinition {
config: AgentConfig {
role: "tester".to_string(),
llm: "claude".to_string(),
tools: vec![],
max_tokens: 4096,
temperature: 0.7,
},
inputs: HashMap::new(),
context: None,
validation: Some(ValidationRules {
must_contain: vec![],
must_not_contain: vec![],
format: "markdown".to_string(),
min_length: Some(10),
max_length: Some(50),
}),
template: "".to_string(),
};
let output = "Just right length";
let errors = executor.validate_output(output, &agent).unwrap();
assert!(errors.is_empty());
let output_short = "Short";
let errors = executor.validate_output(output_short, &agent).unwrap();
assert!(!errors.is_empty());
assert!(errors[0].contains("too short"));
let output_long = "This is way too long for the maximum length constraint that we've set";
let errors = executor.validate_output(output_long, &agent).unwrap();
assert!(!errors.is_empty());
assert!(errors[0].contains("too long"));
}
#[test]
fn test_validate_output_json_format() {
let executor = AgentExecutor::new();
let agent = AgentDefinition {
config: AgentConfig {
role: "tester".to_string(),
llm: "claude".to_string(),
tools: vec![],
max_tokens: 4096,
temperature: 0.7,
},
inputs: HashMap::new(),
context: None,
validation: Some(ValidationRules {
must_contain: vec![],
must_not_contain: vec![],
format: "json".to_string(),
min_length: None,
max_length: None,
}),
template: "".to_string(),
};
let output_valid = r#"{"key": "value"}"#;
let errors = executor.validate_output(output_valid, &agent).unwrap();
assert!(errors.is_empty());
let output_invalid = "not json at all";
let errors = executor.validate_output(output_invalid, &agent).unwrap();
assert!(!errors.is_empty());
assert!(errors[0].contains("not valid JSON"));
}
#[test]
fn test_render_template_basic() {
let executor = AgentExecutor::new();
let agent = AgentDefinition {
config: AgentConfig {
role: "architect".to_string(),
llm: "claude-opus-4".to_string(),
tools: vec![],
max_tokens: 4096,
temperature: 0.7,
},
inputs: HashMap::new(),
context: None,
validation: None,
template: "Design feature: {{ feature_name }}".to_string(),
};
let mut inputs = HashMap::new();
inputs.insert("feature_name".to_string(), serde_json::json!("auth"));
let context_data = ContextData {
imports: HashMap::new(),
shell_outputs: HashMap::new(),
};
let result = executor.render_template(&agent, &inputs, &context_data);
assert!(result.is_ok());
let rendered = result.unwrap();
assert_eq!(rendered, "Design feature: auth");
}
#[tokio::test]
async fn test_execute_shell_command() {
let executor = AgentExecutor::new();
let result = executor.execute_shell_command("echo hello");
assert!(result.is_ok());
assert_eq!(result.unwrap().trim(), "hello");
}
#[tokio::test]
#[ignore] // Requires ANTHROPIC_API_KEY
async fn test_execute_with_real_llm() {
let executor = AgentExecutor::new();
let agent = AgentDefinition {
config: AgentConfig {
role: "assistant".to_string(),
llm: "claude-3-5-haiku-20241022".to_string(),
tools: vec![],
max_tokens: 100,
temperature: 0.7,
},
inputs: HashMap::new(),
context: None,
validation: None,
template: "Say hello to {{ name }} in exactly 3 words.".to_string(),
};
let mut inputs = HashMap::new();
inputs.insert("name".to_string(), serde_json::json!("Alice"));
let result = executor.execute(&agent, inputs).await;
assert!(result.is_ok());
let exec_result = result.unwrap();
assert!(!exec_result.output.is_empty());
assert!(exec_result.metadata.tokens.is_some());
println!("LLM Response: {}", exec_result.output);
println!("Tokens used: {:?}", exec_result.metadata.tokens);
}
// Mock provider for testing streaming without API calls
mod mock {
use super::*;
use crate::llm::{
LlmProvider, LlmRequest, LlmResponse, LlmStream, StreamChunk, StreamMetadata,
TokenUsage,
};
use async_trait::async_trait;
use futures::stream;
pub struct MockStreamingProvider {
chunks: Vec<String>,
should_error: bool,
}
impl MockStreamingProvider {
pub fn new(chunks: Vec<String>) -> Self {
Self {
chunks,
should_error: false,
}
}
pub fn with_error() -> Self {
Self {
chunks: vec![],
should_error: true,
}
}
}
#[async_trait]
impl LlmProvider for MockStreamingProvider {
async fn complete(&self, _request: LlmRequest) -> Result<LlmResponse> {
Ok(LlmResponse {
content: self.chunks.join(""),
model: "mock-model".to_string(),
usage: Some(TokenUsage {
input_tokens: 10,
output_tokens: 20,
total_tokens: 30,
}),
})
}
async fn stream(&self, _request: LlmRequest) -> Result<LlmStream> {
if self.should_error {
let error_stream =
stream::iter(vec![Ok(StreamChunk::Error("Mock error".to_string()))]);
return Ok(Box::pin(error_stream));
}
let mut events: Vec<Result<StreamChunk>> = self
.chunks
.iter()
.map(|chunk| Ok(StreamChunk::Content(chunk.clone())))
.collect();
// Add final Done event with usage
events.push(Ok(StreamChunk::Done(StreamMetadata {
model: "mock-model".to_string(),
usage: Some(TokenUsage {
input_tokens: 10,
output_tokens: 20,
total_tokens: 30,
}),
})));
Ok(Box::pin(stream::iter(events)))
}
fn name(&self) -> &str {
"MockStreaming"
}
}
}
#[tokio::test]
async fn test_streaming_chunks_accumulate() {
use crate::llm::LlmProvider;
use std::sync::{Arc, Mutex};
// Track chunks as they arrive
let received_chunks = Arc::new(Mutex::new(Vec::new()));
let chunks_clone = Arc::clone(&received_chunks);
// Mock provider that streams "Hello", " ", "world"
let mock_provider = mock::MockStreamingProvider::new(vec![
"Hello".to_string(),
" ".to_string(),
"world".to_string(),
]);
// Manually test streaming with mock provider
use crate::llm::{LlmMessage, LlmRequest, MessageRole, StreamChunk};
use futures::stream::StreamExt;
let request = LlmRequest {
model: "mock-model".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Test".to_string(),
}],
max_tokens: Some(100),
temperature: Some(0.7),
system: Some("Test system".to_string()),
};
let mut stream = mock_provider.stream(request).await.unwrap();
let mut full_output = String::new();
let mut tokens = None;
while let Some(chunk_result) = stream.next().await {
match chunk_result.unwrap() {
StreamChunk::Content(text) => {
chunks_clone.lock().unwrap().push(text.clone());
full_output.push_str(&text);
}
StreamChunk::Done(metadata) => {
tokens = metadata.usage.map(|u| u.total_tokens);
}
StreamChunk::Error(_) => panic!("Unexpected error"),
}
}
// Verify chunks were received in order
let chunks = received_chunks.lock().unwrap();
assert_eq!(chunks.len(), 3);
assert_eq!(chunks[0], "Hello");
assert_eq!(chunks[1], " ");
assert_eq!(chunks[2], "world");
// Verify full output
assert_eq!(full_output, "Hello world");
// Verify tokens
assert_eq!(tokens, Some(30));
}
#[tokio::test]
async fn test_streaming_error_handling() {
use crate::llm::{LlmMessage, LlmProvider, LlmRequest, MessageRole, StreamChunk};
use futures::stream::StreamExt;
let mock_provider = mock::MockStreamingProvider::with_error();
let request = LlmRequest {
model: "mock-model".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Test".to_string(),
}],
max_tokens: Some(100),
temperature: Some(0.7),
system: Some("Test system".to_string()),
};
let mut stream = mock_provider.stream(request).await.unwrap();
let mut error_received = false;
while let Some(chunk_result) = stream.next().await {
if let StreamChunk::Error(msg) = chunk_result.unwrap() {
assert_eq!(msg, "Mock error");
error_received = true;
}
}
assert!(error_received);
}
#[tokio::test]
async fn test_streaming_empty_chunks() {
use crate::llm::{LlmMessage, LlmProvider, LlmRequest, MessageRole, StreamChunk};
use futures::stream::StreamExt;
// Provider with no content chunks, just Done
let mock_provider = mock::MockStreamingProvider::new(vec![]);
let request = LlmRequest {
model: "mock-model".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Test".to_string(),
}],
max_tokens: Some(100),
temperature: Some(0.7),
system: Some("Test system".to_string()),
};
let mut stream = mock_provider.stream(request).await.unwrap();
let mut full_output = String::new();
let mut done_received = false;
while let Some(chunk_result) = stream.next().await {
match chunk_result.unwrap() {
StreamChunk::Content(text) => {
full_output.push_str(&text);
}
StreamChunk::Done(_) => {
done_received = true;
}
StreamChunk::Error(_) => panic!("Unexpected error"),
}
}
assert_eq!(full_output, "");
assert!(done_received);
}
}

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//! Format detection for agent files
//!
//! Supports three agent file formats:
//! - `.agent.mdx`: Markdown with @directives (primary format)
//! - `.agent.ncl`: Pure Nickel configuration
//! - `.agent.md`: Legacy markdown with YAML frontmatter
use std::path::Path;
/// Agent file format
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AgentFormat {
/// Markdown with @directives (.agent.mdx)
MarkdownExtended,
/// Pure Nickel (.agent.ncl)
Nickel,
/// Legacy markdown with YAML frontmatter (.agent.md)
Markdown,
}
/// Format detector based on file extension
pub struct FormatDetector;
impl FormatDetector {
/// Detect agent format from file path extension
pub fn detect(path: &Path) -> Option<AgentFormat> {
let filename = path.file_name()?.to_str()?;
if filename.ends_with(".agent.mdx") {
Some(AgentFormat::MarkdownExtended)
} else if filename.ends_with(".agent.ncl") {
Some(AgentFormat::Nickel)
} else if filename.ends_with(".agent.md") {
Some(AgentFormat::Markdown)
} else {
None
}
}
}

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#![allow(clippy::module_name_repetitions)]
#![allow(clippy::too_many_arguments)]
//! TypeAgent Core Library
//!
//! Type-safe AI agent execution with 3-layer pipeline:
//! - Layer 1: MDX → AST (markup parsing)
//! - Layer 2: AST → Nickel (transpilation + type checking)
//! - Layer 3: Nickel → Output (execution + validation)
pub mod cache;
pub mod error;
pub mod executor;
pub mod formats;
pub mod llm;
pub mod nickel;
pub mod parser;
pub mod transpiler;
pub mod utils;
// Public API exports
pub use cache::{CacheManager, CacheStats, CacheStrategy};
pub use error::{Error, Result};
pub use executor::{AgentExecutor, ExecutionResult};
pub use formats::{AgentFormat, FormatDetector};
pub use nickel::{AgentConfig, AgentDefinition, NickelEvaluator};
pub use parser::{AgentDirective, MarkupNode, MarkupParser};
pub use transpiler::NickelTranspiler;
/// Agent loader - main entry point
pub struct AgentLoader {
parser: MarkupParser,
transpiler: NickelTranspiler,
evaluator: NickelEvaluator,
executor: AgentExecutor,
cache: Option<std::sync::Arc<std::sync::Mutex<CacheManager>>>,
}
impl AgentLoader {
/// Create new agent loader
pub fn new() -> Self {
Self {
parser: MarkupParser::new(),
transpiler: NickelTranspiler::new(),
evaluator: NickelEvaluator::new(),
executor: AgentExecutor::new(),
cache: Some(std::sync::Arc::new(std::sync::Mutex::new(
CacheManager::default(),
))),
}
}
/// Create without cache
pub fn without_cache() -> Self {
Self {
parser: MarkupParser::new(),
transpiler: NickelTranspiler::new(),
evaluator: NickelEvaluator::new(),
executor: AgentExecutor::new(),
cache: None,
}
}
/// Load agent from file
///
/// Executes the 3-layer pipeline:
/// 1. Parse MDX → AST
/// 2. Transpile AST → Nickel
/// 3. Evaluate Nickel → AgentDefinition
pub async fn load(&self, path: &std::path::Path) -> Result<AgentDefinition> {
// Read file content
let content = std::fs::read_to_string(path).map_err(|e| {
Error::io(
format!("Failed to read agent file: {:?}", path),
e.to_string(),
)
})?;
// Check cache for transpiled Nickel code
let file_mtime = std::fs::metadata(path)
.ok()
.and_then(|m| m.modified().ok())
.and_then(|t| t.duration_since(std::time::UNIX_EPOCH).ok())
.map(|d| d.as_secs())
.unwrap_or(0);
let path_str = path.to_string_lossy().to_string();
// Try to get from cache
let nickel_code = if let Some(cache_arc) = &self.cache {
// Try to get from cache first
let mut cache = cache_arc.lock().unwrap();
if let Some(cached) = cache.get_transpiled(&path_str, file_mtime) {
cached
} else {
// Not in cache, do full transpilation
drop(cache); // Release lock before parsing
let ast = self.parser.parse(&content)?;
let nickel = self.transpiler.transpile(&ast)?;
// Store in cache
let mut cache_mut = cache_arc.lock().unwrap();
// Ignore cache errors - we still have the nickel code to use
cache_mut
.put_transpiled(&path_str, file_mtime, &nickel)
.ok();
nickel
}
} else {
// No cache, do full transpilation
let ast = self.parser.parse(&content)?;
self.transpiler.transpile(&ast)?
};
// Evaluate Nickel code to get AgentDefinition
self.evaluator.evaluate(&nickel_code)
}
/// Execute agent
///
/// Delegates to AgentExecutor for actual execution with LLM.
/// Returns ExecutionResult with output, validation status, and metadata.
pub async fn execute(
&self,
agent: &AgentDefinition,
inputs: std::collections::HashMap<String, serde_json::Value>,
) -> Result<ExecutionResult> {
self.executor.execute(agent, inputs).await
}
/// Execute agent with streaming output
///
/// The callback is invoked for each chunk of output as it arrives from the LLM.
/// Useful for real-time display in CLI or web interfaces.
pub async fn execute_streaming<F>(
&self,
agent: &AgentDefinition,
inputs: std::collections::HashMap<String, serde_json::Value>,
on_chunk: F,
) -> Result<ExecutionResult>
where
F: FnMut(&str),
{
self.executor
.execute_streaming(agent, inputs, on_chunk)
.await
}
/// Load and execute in one call
///
/// Convenience method that combines load() and execute().
pub async fn load_and_execute(
&self,
path: &std::path::Path,
inputs: std::collections::HashMap<String, serde_json::Value>,
) -> Result<ExecutionResult> {
let agent = self.load(path).await?;
self.execute(&agent, inputs).await
}
/// Load and execute with streaming
///
/// Convenience method that combines load() and execute_streaming().
pub async fn load_and_execute_streaming<F>(
&self,
path: &std::path::Path,
inputs: std::collections::HashMap<String, serde_json::Value>,
on_chunk: F,
) -> Result<ExecutionResult>
where
F: FnMut(&str),
{
let agent = self.load(path).await?;
self.execute_streaming(&agent, inputs, on_chunk).await
}
}
impl Default for AgentLoader {
fn default() -> Self {
Self::new()
}
}

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//! Anthropic Claude API client implementation
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::env;
use super::provider::{
LlmProvider, LlmRequest, LlmResponse, LlmStream, MessageRole, StreamChunk, StreamMetadata,
TokenUsage,
};
use crate::error::{Error, Result};
use futures::stream::StreamExt;
const CLAUDE_API_URL: &str = "https://api.anthropic.com/v1/messages";
const CLAUDE_API_VERSION: &str = "2023-06-01";
/// Claude API client
pub struct ClaudeProvider {
api_key: String,
client: reqwest::Client,
}
/// Claude API request format
#[derive(Debug, Serialize)]
struct ClaudeRequest {
model: String,
messages: Vec<ClaudeMessage>,
max_tokens: usize,
#[serde(skip_serializing_if = "Option::is_none")]
temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
system: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
stream: Option<bool>,
}
#[derive(Debug, Serialize, Deserialize)]
struct ClaudeMessage {
role: String,
content: String,
}
/// Claude API response format
#[derive(Debug, Deserialize)]
struct ClaudeResponse {
#[allow(dead_code)]
id: String,
#[allow(dead_code)]
#[serde(rename = "type")]
response_type: String,
#[allow(dead_code)]
role: String,
content: Vec<ClaudeContent>,
model: String,
#[allow(dead_code)]
stop_reason: Option<String>,
usage: ClaudeUsage,
}
#[derive(Debug, Deserialize)]
struct ClaudeContent {
#[serde(rename = "type")]
content_type: String,
text: String,
}
#[derive(Debug, Deserialize)]
struct ClaudeUsage {
input_tokens: usize,
output_tokens: usize,
}
impl ClaudeProvider {
/// Create a new Claude provider
pub fn new() -> Result<Self> {
let api_key = env::var("ANTHROPIC_API_KEY").map_err(|_| {
Error::execution(
"ANTHROPIC_API_KEY environment variable not set",
"Set ANTHROPIC_API_KEY to use Claude models",
)
})?;
let client = reqwest::Client::new();
Ok(Self { api_key, client })
}
/// Create a provider with explicit API key
pub fn with_api_key(api_key: String) -> Self {
let client = reqwest::Client::new();
Self { api_key, client }
}
}
#[async_trait]
impl LlmProvider for ClaudeProvider {
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse> {
// Convert generic messages to Claude format
let messages: Vec<ClaudeMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System) // System handled separately
.map(|m| ClaudeMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "user".to_string(), // Fallback
},
content: m.content,
})
.collect();
// Build Claude request
let claude_request = ClaudeRequest {
model: request.model.clone(),
messages,
max_tokens: request.max_tokens.unwrap_or(4096),
temperature: request.temperature,
system: request.system,
stream: None,
};
// Make API call
let response = self
.client
.post(CLAUDE_API_URL)
.header("x-api-key", &self.api_key)
.header("anthropic-version", CLAUDE_API_VERSION)
.header("content-type", "application/json")
.json(&claude_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call Claude API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Claude API error: {}", status),
error_text,
));
}
// Parse response
let claude_response: ClaudeResponse = response
.json()
.await
.map_err(|e| Error::execution("Failed to parse Claude API response", e.to_string()))?;
// Extract text content
let content = claude_response
.content
.into_iter()
.filter_map(|c| {
if c.content_type == "text" {
Some(c.text)
} else {
None
}
})
.collect::<Vec<_>>()
.join("\n");
Ok(LlmResponse {
content,
model: claude_response.model,
usage: Some(TokenUsage {
input_tokens: claude_response.usage.input_tokens,
output_tokens: claude_response.usage.output_tokens,
total_tokens: claude_response.usage.input_tokens
+ claude_response.usage.output_tokens,
}),
})
}
async fn stream(&self, request: LlmRequest) -> Result<LlmStream> {
use futures::stream;
// Convert generic messages to Claude format
let messages: Vec<ClaudeMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| ClaudeMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "user".to_string(),
},
content: m.content,
})
.collect();
// Build Claude streaming request
let claude_request = ClaudeRequest {
model: request.model.clone(),
messages,
max_tokens: request.max_tokens.unwrap_or(4096),
temperature: request.temperature,
system: request.system,
stream: Some(true),
};
// Make streaming API call
let response = self
.client
.post(CLAUDE_API_URL)
.header("x-api-key", &self.api_key)
.header("anthropic-version", CLAUDE_API_VERSION)
.header("content-type", "application/json")
.json(&claude_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call Claude API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Claude API error: {}", status),
error_text,
));
}
// Convert response to SSE stream
use futures::TryStreamExt;
let byte_stream = response.bytes_stream();
let model = request.model.clone();
let sse_stream = byte_stream
.map_err(|e| Error::execution("Stream error", e.to_string()))
.map(move |chunk_result| {
match chunk_result {
Ok(bytes) => {
// Parse SSE events
let text = String::from_utf8_lossy(&bytes);
parse_sse_events(&text, &model)
}
Err(e) => vec![Err(e)],
}
})
.flat_map(stream::iter);
Ok(Box::pin(sse_stream))
}
fn name(&self) -> &str {
"Claude"
}
}
/// Parse SSE events from Claude streaming response
fn parse_sse_events(text: &str, model: &str) -> Vec<Result<StreamChunk>> {
let mut chunks = Vec::new();
for line in text.lines() {
if let Some(data) = line.strip_prefix("data: ") {
// Parse JSON event
if let Ok(event) = serde_json::from_str::<serde_json::Value>(data) {
match event.get("type").and_then(|t| t.as_str()) {
Some("content_block_delta") => {
// Extract text delta
if let Some(delta) = event.get("delta") {
if let Some(text) = delta.get("text").and_then(|t| t.as_str()) {
chunks.push(Ok(StreamChunk::Content(text.to_string())));
}
}
}
Some("message_stop") => {
// Stream completed - extract usage if available
let usage = event.get("usage").and_then(|u| {
Some(TokenUsage {
input_tokens: u.get("input_tokens")?.as_u64()? as usize,
output_tokens: u.get("output_tokens")?.as_u64()? as usize,
total_tokens: (u.get("input_tokens")?.as_u64()?
+ u.get("output_tokens")?.as_u64()?)
as usize,
})
});
chunks.push(Ok(StreamChunk::Done(StreamMetadata {
model: model.to_string(),
usage,
})));
}
Some("message_delta") => {
// Extract usage from delta
if let Some(usage_obj) = event.get("usage") {
let usage = Some(TokenUsage {
input_tokens: usage_obj
.get("input_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0)
as usize,
output_tokens: usage_obj
.get("output_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0)
as usize,
total_tokens: (usage_obj
.get("input_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0)
+ usage_obj
.get("output_tokens")
.and_then(|v| v.as_u64())
.unwrap_or(0))
as usize,
});
chunks.push(Ok(StreamChunk::Done(StreamMetadata {
model: model.to_string(),
usage,
})));
}
}
Some("error") => {
let error_msg = event
.get("error")
.and_then(|e| e.get("message"))
.and_then(|m| m.as_str())
.unwrap_or("Unknown error");
chunks.push(Ok(StreamChunk::Error(error_msg.to_string())));
}
_ => {}
}
}
}
}
chunks
}
#[cfg(test)]
mod tests {
use super::*;
use crate::llm::LlmMessage;
#[test]
fn test_create_provider_without_api_key() {
// Should fail if ANTHROPIC_API_KEY not set
let original_key = env::var("ANTHROPIC_API_KEY").ok();
env::remove_var("ANTHROPIC_API_KEY");
let result = ClaudeProvider::new();
assert!(result.is_err());
// Restore original key if it existed
if let Some(key) = original_key {
env::set_var("ANTHROPIC_API_KEY", key);
}
}
#[test]
fn test_create_provider_with_explicit_key() {
let provider = ClaudeProvider::with_api_key("test-key".to_string());
assert_eq!(provider.api_key, "test-key");
assert_eq!(provider.name(), "Claude");
}
#[test]
fn test_parse_sse_content_block_delta() {
let sse_data =
r#"data: {"type":"content_block_delta","delta":{"type":"text_delta","text":"Hello"}}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected Content chunk"),
}
}
#[test]
fn test_parse_sse_message_stop() {
let sse_data = r#"data: {"type":"message_stop"}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Done(metadata)) => {
assert_eq!(metadata.model, model);
assert!(metadata.usage.is_none());
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_message_delta_with_usage() {
let sse_data =
r#"data: {"type":"message_delta","usage":{"input_tokens":100,"output_tokens":50}}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Done(metadata)) => {
assert_eq!(metadata.model, model);
let usage = metadata.usage.as_ref().unwrap();
assert_eq!(usage.input_tokens, 100);
assert_eq!(usage.output_tokens, 50);
assert_eq!(usage.total_tokens, 150);
}
_ => panic!("Expected Done chunk with usage"),
}
}
#[test]
fn test_parse_sse_error() {
let sse_data = r#"data: {"type":"error","error":{"message":"Rate limit exceeded"}}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Error(msg)) => assert_eq!(msg, "Rate limit exceeded"),
_ => panic!("Expected Error chunk"),
}
}
#[test]
fn test_parse_sse_multiple_events() {
let sse_data = r#"data: {"type":"content_block_delta","delta":{"type":"text_delta","text":"Hello"}}
data: {"type":"content_block_delta","delta":{"type":"text_delta","text":" world"}}
data: {"type":"message_delta","usage":{"input_tokens":10,"output_tokens":5}}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 3);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected first Content chunk"),
}
match &chunks[1] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, " world"),
_ => panic!("Expected second Content chunk"),
}
match &chunks[2] {
Ok(StreamChunk::Done(metadata)) => {
assert!(metadata.usage.is_some());
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_ignores_unknown_events() {
let sse_data = r#"data: {"type":"unknown_event"}
data: {"type":"content_block_delta","delta":{"type":"text_delta","text":"test"}}"#;
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
// Should only parse the content delta, ignore unknown
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "test"),
_ => panic!("Expected Content chunk"),
}
}
#[test]
fn test_parse_sse_empty_input() {
let sse_data = "";
let model = "claude-3-5-haiku-20241022";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 0);
}
#[tokio::test]
#[ignore] // Only run with real API key
async fn test_claude_api_call() {
let provider = ClaudeProvider::new().expect("ANTHROPIC_API_KEY must be set");
let request = LlmRequest {
model: "claude-3-5-haiku-20241022".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Say hello in exactly 3 words.".to_string(),
}],
max_tokens: Some(50),
temperature: Some(0.7),
system: None,
};
let response = provider.complete(request).await;
assert!(response.is_ok());
let response = response.unwrap();
assert!(!response.content.is_empty());
assert!(response.usage.is_some());
println!("Response: {}", response.content);
println!("Usage: {:?}", response.usage);
}
}

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@ -0,0 +1,555 @@
//! Google Gemini API client implementation
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::env;
use super::provider::{
LlmProvider, LlmRequest, LlmResponse, LlmStream, MessageRole, StreamChunk, StreamMetadata,
TokenUsage,
};
use crate::error::{Error, Result};
use futures::stream::StreamExt;
const GEMINI_API_BASE: &str = "https://generativelanguage.googleapis.com/v1beta/models";
/// Gemini API client
pub struct GeminiProvider {
api_key: String,
client: reqwest::Client,
}
/// Gemini API request format
#[derive(Debug, Serialize)]
struct GeminiRequest {
contents: Vec<GeminiContent>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "generationConfig")]
generation_config: Option<GeminiGenerationConfig>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "systemInstruction")]
system_instruction: Option<GeminiContent>,
}
#[derive(Debug, Serialize, Deserialize, Clone)]
struct GeminiContent {
role: String,
parts: Vec<GeminiPart>,
}
#[derive(Debug, Serialize, Deserialize, Clone)]
struct GeminiPart {
text: String,
}
#[derive(Debug, Serialize)]
struct GeminiGenerationConfig {
#[serde(skip_serializing_if = "Option::is_none")]
temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "maxOutputTokens")]
max_output_tokens: Option<usize>,
}
/// Gemini API response format
#[derive(Debug, Deserialize)]
struct GeminiResponse {
candidates: Vec<GeminiCandidate>,
#[serde(rename = "usageMetadata")]
usage_metadata: Option<GeminiUsageMetadata>,
}
#[derive(Debug, Deserialize)]
struct GeminiCandidate {
content: GeminiContent,
#[allow(dead_code)]
#[serde(rename = "finishReason")]
finish_reason: Option<String>,
}
#[derive(Debug, Deserialize)]
struct GeminiUsageMetadata {
#[serde(rename = "promptTokenCount")]
prompt_token_count: usize,
#[serde(rename = "candidatesTokenCount")]
candidates_token_count: usize,
#[serde(rename = "totalTokenCount")]
total_token_count: usize,
}
impl GeminiProvider {
/// Create a new Gemini provider
pub fn new() -> Result<Self> {
let api_key = env::var("GEMINI_API_KEY")
.or_else(|_| env::var("GOOGLE_API_KEY"))
.map_err(|_| {
Error::execution(
"GEMINI_API_KEY or GOOGLE_API_KEY environment variable not set",
"Set GEMINI_API_KEY or GOOGLE_API_KEY to use Gemini models",
)
})?;
let client = reqwest::Client::new();
Ok(Self { api_key, client })
}
/// Create a provider with explicit API key
pub fn with_api_key(api_key: String) -> Self {
let client = reqwest::Client::new();
Self { api_key, client }
}
/// Convert generic messages to Gemini format
fn convert_messages(&self, messages: Vec<crate::llm::LlmMessage>) -> Vec<GeminiContent> {
messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| GeminiContent {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "model".to_string(), // Gemini uses "model" not "assistant"
MessageRole::System => "user".to_string(), // Fallback
},
parts: vec![GeminiPart { text: m.content }],
})
.collect()
}
/// Build API URL for the given model
fn build_url(&self, model: &str, streaming: bool) -> String {
let endpoint = if streaming {
"streamGenerateContent"
} else {
"generateContent"
};
format!(
"{}/{}:{}?key={}",
GEMINI_API_BASE, model, endpoint, self.api_key
)
}
}
#[async_trait]
impl LlmProvider for GeminiProvider {
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse> {
// Convert messages
let contents = self.convert_messages(request.messages);
// Build generation config
let generation_config = if request.max_tokens.is_some() || request.temperature.is_some() {
Some(GeminiGenerationConfig {
temperature: request.temperature,
max_output_tokens: request.max_tokens,
})
} else {
None
};
// Build system instruction
let system_instruction = request.system.map(|content| GeminiContent {
role: "user".to_string(),
parts: vec![GeminiPart { text: content }],
});
// Build Gemini request
let gemini_request = GeminiRequest {
contents,
generation_config,
system_instruction,
};
// Make API call
let url = self.build_url(&request.model, false);
let response = self
.client
.post(&url)
.header("Content-Type", "application/json")
.json(&gemini_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call Gemini API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Gemini API error: {}", status),
error_text,
));
}
// Parse response
let gemini_response: GeminiResponse = response
.json()
.await
.map_err(|e| Error::execution("Failed to parse Gemini API response", e.to_string()))?;
// Extract content from first candidate
let content = gemini_response
.candidates
.first()
.and_then(|candidate| {
candidate
.content
.parts
.first()
.map(|part| part.text.clone())
})
.unwrap_or_default();
// Extract usage metadata
let usage = gemini_response.usage_metadata.map(|u| TokenUsage {
input_tokens: u.prompt_token_count,
output_tokens: u.candidates_token_count,
total_tokens: u.total_token_count,
});
Ok(LlmResponse {
content,
model: request.model,
usage,
})
}
async fn stream(&self, request: LlmRequest) -> Result<LlmStream> {
use futures::stream;
// Convert messages
let contents = self.convert_messages(request.messages.clone());
// Build generation config
let generation_config = if request.max_tokens.is_some() || request.temperature.is_some() {
Some(GeminiGenerationConfig {
temperature: request.temperature,
max_output_tokens: request.max_tokens,
})
} else {
None
};
// Build system instruction
let system_instruction = request.system.map(|content| GeminiContent {
role: "user".to_string(),
parts: vec![GeminiPart { text: content }],
});
// Build Gemini streaming request
let gemini_request = GeminiRequest {
contents,
generation_config,
system_instruction,
};
// Make streaming API call
let url = self.build_url(&request.model, true);
let response = self
.client
.post(&url)
.header("Content-Type", "application/json")
.json(&gemini_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call Gemini API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Gemini API error: {}", status),
error_text,
));
}
// Convert response to SSE stream
use futures::TryStreamExt;
let byte_stream = response.bytes_stream();
let model = request.model.clone();
let sse_stream = byte_stream
.map_err(|e| Error::execution("Stream error", e.to_string()))
.map(move |chunk_result| {
match chunk_result {
Ok(bytes) => {
// Parse SSE events
let text = String::from_utf8_lossy(&bytes);
parse_sse_events(&text, &model)
}
Err(e) => vec![Err(e)],
}
})
.flat_map(stream::iter);
Ok(Box::pin(sse_stream))
}
fn name(&self) -> &str {
"Gemini"
}
}
/// Parse SSE events from Gemini streaming response
fn parse_sse_events(text: &str, model: &str) -> Vec<Result<StreamChunk>> {
let mut chunks = Vec::new();
for line in text.lines() {
// Gemini streams JSON objects separated by newlines (not SSE format with "data: " prefix)
// Each line is a complete JSON response
if line.trim().is_empty() || line.trim().starts_with('[') {
continue;
}
// Parse JSON event
if let Ok(event) = serde_json::from_str::<serde_json::Value>(line) {
// Extract content from candidates
if let Some(candidates) = event.get("candidates").and_then(|c| c.as_array()) {
if let Some(candidate) = candidates.first() {
if let Some(content) = candidate.get("content") {
if let Some(parts) = content.get("parts").and_then(|p| p.as_array()) {
if let Some(part) = parts.first() {
if let Some(text) = part.get("text").and_then(|t| t.as_str()) {
chunks.push(Ok(StreamChunk::Content(text.to_string())));
}
}
}
}
// Check for finish reason (indicates stream end)
if let Some(_finish_reason) = candidate.get("finishReason") {
// Extract usage metadata if available
let usage = event.get("usageMetadata").and_then(|u| {
Some(TokenUsage {
input_tokens: u.get("promptTokenCount")?.as_u64()? as usize,
output_tokens: u.get("candidatesTokenCount")?.as_u64()? as usize,
total_tokens: u.get("totalTokenCount")?.as_u64()? as usize,
})
});
chunks.push(Ok(StreamChunk::Done(StreamMetadata {
model: model.to_string(),
usage,
})));
}
}
}
// Check for errors
if let Some(error) = event.get("error") {
let error_msg = error
.get("message")
.and_then(|m| m.as_str())
.unwrap_or("Unknown error");
chunks.push(Ok(StreamChunk::Error(error_msg.to_string())));
}
}
}
chunks
}
#[cfg(test)]
mod tests {
use super::*;
use crate::llm::LlmMessage;
#[test]
fn test_create_provider_without_api_key() {
// Should fail if GEMINI_API_KEY not set
let original_gemini = env::var("GEMINI_API_KEY").ok();
let original_google = env::var("GOOGLE_API_KEY").ok();
env::remove_var("GEMINI_API_KEY");
env::remove_var("GOOGLE_API_KEY");
let result = GeminiProvider::new();
assert!(result.is_err());
// Restore original keys if they existed
if let Some(key) = original_gemini {
env::set_var("GEMINI_API_KEY", key);
}
if let Some(key) = original_google {
env::set_var("GOOGLE_API_KEY", key);
}
}
#[test]
fn test_create_provider_with_explicit_key() {
let provider = GeminiProvider::with_api_key("test-key".to_string());
assert_eq!(provider.api_key, "test-key");
assert_eq!(provider.name(), "Gemini");
}
#[test]
fn test_convert_messages() {
let provider = GeminiProvider::with_api_key("test-key".to_string());
let messages = vec![
LlmMessage {
role: MessageRole::User,
content: "Hello".to_string(),
},
LlmMessage {
role: MessageRole::Assistant,
content: "Hi there".to_string(),
},
];
let gemini_messages = provider.convert_messages(messages);
assert_eq!(gemini_messages.len(), 2);
assert_eq!(gemini_messages[0].role, "user");
assert_eq!(gemini_messages[0].parts[0].text, "Hello");
assert_eq!(gemini_messages[1].role, "model");
assert_eq!(gemini_messages[1].parts[0].text, "Hi there");
}
#[test]
fn test_parse_sse_content() {
let json_line =
r#"{"candidates":[{"content":{"parts":[{"text":"Hello"}],"role":"model"}}]}"#;
let model = "gemini-2.0-flash-exp";
let chunks = parse_sse_events(json_line, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected Content chunk"),
}
}
#[test]
fn test_parse_sse_with_finish_reason() {
let json_line = r#"{"candidates":[{"content":{"parts":[{"text":"Done"}],"role":"model"},"finishReason":"STOP"}],"usageMetadata":{"promptTokenCount":10,"candidatesTokenCount":20,"totalTokenCount":30}}"#;
let model = "gemini-2.0-flash-exp";
let chunks = parse_sse_events(json_line, model);
assert_eq!(chunks.len(), 2);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Done"),
_ => panic!("Expected Content chunk"),
}
match &chunks[1] {
Ok(StreamChunk::Done(metadata)) => {
assert_eq!(metadata.model, model);
let usage = metadata.usage.as_ref().unwrap();
assert_eq!(usage.input_tokens, 10);
assert_eq!(usage.output_tokens, 20);
assert_eq!(usage.total_tokens, 30);
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_error() {
let json_line = r#"{"error":{"message":"API key invalid"}}"#;
let model = "gemini-2.0-flash-exp";
let chunks = parse_sse_events(json_line, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Error(msg)) => assert_eq!(msg, "API key invalid"),
_ => panic!("Expected Error chunk"),
}
}
#[test]
fn test_parse_sse_multiple_chunks() {
let json_lines = r#"{"candidates":[{"content":{"parts":[{"text":"Hello"}],"role":"model"}}]}
{"candidates":[{"content":{"parts":[{"text":" world"}],"role":"model"}}]}
{"candidates":[{"content":{"parts":[{"text":"!"}],"role":"model"},"finishReason":"STOP"}]}"#;
let model = "gemini-2.0-flash-exp";
let chunks = parse_sse_events(json_lines, model);
assert_eq!(chunks.len(), 4);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected first Content chunk"),
}
match &chunks[1] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, " world"),
_ => panic!("Expected second Content chunk"),
}
match &chunks[2] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "!"),
_ => panic!("Expected third Content chunk"),
}
match &chunks[3] {
Ok(StreamChunk::Done(_)) => {}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_empty_input() {
let json_lines = "";
let model = "gemini-2.0-flash-exp";
let chunks = parse_sse_events(json_lines, model);
assert_eq!(chunks.len(), 0);
}
#[test]
fn test_build_url_non_streaming() {
let provider = GeminiProvider::with_api_key("test-key-123".to_string());
let url = provider.build_url("gemini-2.0-flash-exp", false);
assert!(url.contains("gemini-2.0-flash-exp:generateContent"));
assert!(url.contains("key=test-key-123"));
}
#[test]
fn test_build_url_streaming() {
let provider = GeminiProvider::with_api_key("test-key-456".to_string());
let url = provider.build_url("gemini-2.0-flash-exp", true);
assert!(url.contains("gemini-2.0-flash-exp:streamGenerateContent"));
assert!(url.contains("key=test-key-456"));
}
#[tokio::test]
#[ignore] // Only run with real API key
async fn test_gemini_api_call() {
let provider = GeminiProvider::new().expect("GEMINI_API_KEY must be set");
let request = LlmRequest {
model: "gemini-2.0-flash-exp".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Say hello in exactly 3 words.".to_string(),
}],
max_tokens: Some(50),
temperature: Some(0.7),
system: None,
};
let response = provider.complete(request).await;
assert!(response.is_ok());
let response = response.unwrap();
assert!(!response.content.is_empty());
assert!(response.usage.is_some());
println!("Response: {}", response.content);
println!("Usage: {:?}", response.usage);
}
}

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//! LLM provider abstraction and implementations
pub mod claude;
pub mod gemini;
pub mod ollama;
pub mod openai;
pub mod provider;
pub use claude::ClaudeProvider;
pub use gemini::GeminiProvider;
pub use ollama::OllamaProvider;
pub use openai::OpenAIProvider;
pub use provider::{
LlmMessage, LlmProvider, LlmRequest, LlmResponse, LlmStream, MessageRole, StreamChunk,
StreamMetadata, TokenUsage,
};
use crate::error::{Error, Result};
/// Create an LLM provider based on model name
pub fn create_provider(model: &str) -> Result<Box<dyn LlmProvider>> {
// Determine provider from model name
if model.starts_with("claude") || model.starts_with("anthropic") {
Ok(Box::new(ClaudeProvider::new()?))
} else if model.starts_with("gpt")
|| model.starts_with("o1")
|| model.starts_with("o3")
|| model.starts_with("o4")
{
Ok(Box::new(OpenAIProvider::new()?))
} else if model.starts_with("gemini") {
Ok(Box::new(GeminiProvider::new()?))
} else if is_ollama_model(model) {
Ok(Box::new(OllamaProvider::new()?))
} else {
Err(Error::execution(
"Unknown model provider",
format!("Model: {}. Supported: claude-*, gpt-*, o1-*, o3-*, o4-*, gemini-*, llama*, mistral*, phi*, codellama*, etc.", model),
))
}
}
/// Check if a model name is a known Ollama model
fn is_ollama_model(model: &str) -> bool {
// Common Ollama model prefixes
let ollama_prefixes = [
"llama",
"mistral",
"phi",
"codellama",
"mixtral",
"vicuna",
"orca",
"wizardlm",
"falcon",
"starcoder",
"deepseek",
"qwen",
"yi",
"solar",
"dolphin",
"openhermes",
"neural",
"zephyr",
];
ollama_prefixes
.iter()
.any(|prefix| model.starts_with(prefix))
}

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//! Ollama API client implementation
//!
//! Ollama provides local LLM execution with an OpenAI-compatible API.
//! Default endpoint: http://localhost:11434
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::env;
use super::provider::{
LlmProvider, LlmRequest, LlmResponse, LlmStream, MessageRole, StreamChunk, StreamMetadata,
TokenUsage,
};
use crate::error::{Error, Result};
use futures::stream::StreamExt;
const DEFAULT_OLLAMA_URL: &str = "http://localhost:11434";
/// Ollama API client
pub struct OllamaProvider {
base_url: String,
client: reqwest::Client,
}
/// Ollama API request format (OpenAI-compatible)
#[derive(Debug, Serialize)]
struct OllamaRequest {
model: String,
messages: Vec<OllamaMessage>,
#[serde(skip_serializing_if = "Option::is_none")]
options: Option<OllamaOptions>,
#[serde(skip_serializing_if = "Option::is_none")]
stream: Option<bool>,
}
#[derive(Debug, Serialize)]
struct OllamaOptions {
#[serde(skip_serializing_if = "Option::is_none")]
temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
num_predict: Option<i32>, // Ollama's equivalent of max_tokens
}
#[derive(Debug, Serialize, Deserialize)]
struct OllamaMessage {
role: String,
content: String,
}
/// Ollama API response format
#[derive(Debug, Deserialize)]
struct OllamaResponse {
model: String,
#[allow(dead_code)]
created_at: String,
message: OllamaMessage,
#[allow(dead_code)]
done: bool,
#[serde(default)]
prompt_eval_count: Option<i64>,
#[serde(default)]
eval_count: Option<i64>,
}
impl OllamaProvider {
/// Create a new Ollama provider with default localhost URL
pub fn new() -> Result<Self> {
let base_url =
env::var("OLLAMA_BASE_URL").unwrap_or_else(|_| DEFAULT_OLLAMA_URL.to_string());
let client = reqwest::Client::new();
Ok(Self { base_url, client })
}
/// Create a provider with custom base URL
pub fn with_base_url(base_url: String) -> Self {
let client = reqwest::Client::new();
Self { base_url, client }
}
/// Build API URL for chat endpoint
fn build_url(&self) -> String {
format!("{}/api/chat", self.base_url)
}
}
#[async_trait]
impl LlmProvider for OllamaProvider {
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse> {
// Convert generic messages to Ollama format
let mut messages: Vec<OllamaMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| OllamaMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "system".to_string(),
},
content: m.content,
})
.collect();
// Add system message at the beginning if provided
if let Some(system_prompt) = request.system {
messages.insert(
0,
OllamaMessage {
role: "system".to_string(),
content: system_prompt,
},
);
}
// Build options
let options = if request.max_tokens.is_some() || request.temperature.is_some() {
Some(OllamaOptions {
temperature: request.temperature,
num_predict: request.max_tokens.map(|t| t as i32),
})
} else {
None
};
// Build Ollama request
let ollama_request = OllamaRequest {
model: request.model.clone(),
messages,
options,
stream: Some(false),
};
// Make API call
let url = self.build_url();
let response = self
.client
.post(&url)
.header("Content-Type", "application/json")
.json(&ollama_request)
.send()
.await
.map_err(|e| {
Error::execution(
"Failed to call Ollama API - is Ollama running?",
format!("{} (URL: {})", e, url),
)
})?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Ollama API error: {}", status),
error_text,
));
}
// Parse response
let ollama_response: OllamaResponse = response
.json()
.await
.map_err(|e| Error::execution("Failed to parse Ollama API response", e.to_string()))?;
// Calculate usage
let usage = if ollama_response.prompt_eval_count.is_some()
|| ollama_response.eval_count.is_some()
{
let input_tokens = ollama_response.prompt_eval_count.unwrap_or(0) as usize;
let output_tokens = ollama_response.eval_count.unwrap_or(0) as usize;
Some(TokenUsage {
input_tokens,
output_tokens,
total_tokens: input_tokens + output_tokens,
})
} else {
None
};
Ok(LlmResponse {
content: ollama_response.message.content,
model: ollama_response.model,
usage,
})
}
async fn stream(&self, request: LlmRequest) -> Result<LlmStream> {
use futures::stream;
// Convert generic messages to Ollama format
let mut messages: Vec<OllamaMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| OllamaMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "system".to_string(),
},
content: m.content,
})
.collect();
// Add system message at the beginning if provided
if let Some(system_prompt) = request.system {
messages.insert(
0,
OllamaMessage {
role: "system".to_string(),
content: system_prompt,
},
);
}
// Build options
let options = if request.max_tokens.is_some() || request.temperature.is_some() {
Some(OllamaOptions {
temperature: request.temperature,
num_predict: request.max_tokens.map(|t| t as i32),
})
} else {
None
};
// Build Ollama streaming request
let ollama_request = OllamaRequest {
model: request.model.clone(),
messages,
options,
stream: Some(true),
};
// Make streaming API call
let url = self.build_url();
let response = self
.client
.post(&url)
.header("Content-Type", "application/json")
.json(&ollama_request)
.send()
.await
.map_err(|e| {
Error::execution(
"Failed to call Ollama API - is Ollama running?",
format!("{} (URL: {})", e, url),
)
})?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("Ollama API error: {}", status),
error_text,
));
}
// Convert response to JSON stream
use futures::TryStreamExt;
let byte_stream = response.bytes_stream();
let model = request.model.clone();
let json_stream = byte_stream
.map_err(|e| Error::execution("Stream error", e.to_string()))
.map(move |chunk_result| {
match chunk_result {
Ok(bytes) => {
// Parse JSON events (newline-delimited like Gemini)
let text = String::from_utf8_lossy(&bytes);
parse_json_events(&text, &model)
}
Err(e) => vec![Err(e)],
}
})
.flat_map(stream::iter);
Ok(Box::pin(json_stream))
}
fn name(&self) -> &str {
"Ollama"
}
}
/// Parse JSON events from Ollama streaming response
fn parse_json_events(text: &str, model: &str) -> Vec<Result<StreamChunk>> {
let mut chunks = Vec::new();
for line in text.lines() {
if line.trim().is_empty() {
continue;
}
// Parse JSON event
if let Ok(event) = serde_json::from_str::<serde_json::Value>(line) {
// Extract message content
if let Some(message) = event.get("message") {
if let Some(content) = message.get("content").and_then(|c| c.as_str()) {
if !content.is_empty() {
chunks.push(Ok(StreamChunk::Content(content.to_string())));
}
}
}
// Check for completion (done: true)
if let Some(true) = event.get("done").and_then(|d| d.as_bool()) {
// Extract usage metadata
let usage = Some(TokenUsage {
input_tokens: event
.get("prompt_eval_count")
.and_then(|v| v.as_i64())
.unwrap_or(0) as usize,
output_tokens: event
.get("eval_count")
.and_then(|v| v.as_i64())
.unwrap_or(0) as usize,
total_tokens: (event
.get("prompt_eval_count")
.and_then(|v| v.as_i64())
.unwrap_or(0)
+ event
.get("eval_count")
.and_then(|v| v.as_i64())
.unwrap_or(0)) as usize,
});
chunks.push(Ok(StreamChunk::Done(StreamMetadata {
model: model.to_string(),
usage,
})));
}
// Check for errors
if let Some(error) = event.get("error") {
let error_msg = error.as_str().unwrap_or("Unknown error");
chunks.push(Ok(StreamChunk::Error(error_msg.to_string())));
}
}
}
chunks
}
#[cfg(test)]
mod tests {
use super::*;
use crate::llm::LlmMessage;
#[test]
fn test_create_provider_with_default_url() {
let provider = OllamaProvider::new().expect("Should create provider");
assert_eq!(provider.base_url, DEFAULT_OLLAMA_URL);
assert_eq!(provider.name(), "Ollama");
}
#[test]
fn test_create_provider_with_custom_url() {
let custom_url = "http://custom-host:8080";
let provider = OllamaProvider::with_base_url(custom_url.to_string());
assert_eq!(provider.base_url, custom_url);
assert_eq!(provider.name(), "Ollama");
}
#[test]
fn test_build_url() {
let provider = OllamaProvider::with_base_url("http://localhost:11434".to_string());
assert_eq!(provider.build_url(), "http://localhost:11434/api/chat");
}
#[test]
fn test_parse_json_content() {
let json_line = r#"{"model":"llama2","created_at":"2024-01-01T00:00:00Z","message":{"role":"assistant","content":"Hello"},"done":false}"#;
let model = "llama2";
let chunks = parse_json_events(json_line, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected Content chunk"),
}
}
#[test]
fn test_parse_json_done() {
let json_line = r#"{"model":"llama2","created_at":"2024-01-01T00:00:00Z","message":{"role":"assistant","content":""},"done":true,"prompt_eval_count":10,"eval_count":20}"#;
let model = "llama2";
let chunks = parse_json_events(json_line, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Done(metadata)) => {
assert_eq!(metadata.model, model);
let usage = metadata.usage.as_ref().unwrap();
assert_eq!(usage.input_tokens, 10);
assert_eq!(usage.output_tokens, 20);
assert_eq!(usage.total_tokens, 30);
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_json_error() {
let json_line = r#"{"error":"model not found"}"#;
let model = "llama2";
let chunks = parse_json_events(json_line, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Error(msg)) => assert_eq!(msg, "model not found"),
_ => panic!("Expected Error chunk"),
}
}
#[test]
fn test_parse_json_multiple_chunks() {
let json_lines = r#"{"model":"llama2","message":{"role":"assistant","content":"Hello"},"done":false}
{"model":"llama2","message":{"role":"assistant","content":" world"},"done":false}
{"model":"llama2","message":{"role":"assistant","content":""},"done":true,"prompt_eval_count":5,"eval_count":10}"#;
let model = "llama2";
let chunks = parse_json_events(json_lines, model);
assert_eq!(chunks.len(), 3);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected first Content chunk"),
}
match &chunks[1] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, " world"),
_ => panic!("Expected second Content chunk"),
}
match &chunks[2] {
Ok(StreamChunk::Done(metadata)) => {
assert!(metadata.usage.is_some());
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_json_empty_content_ignored() {
let json_line =
r#"{"model":"llama2","message":{"role":"assistant","content":""},"done":false}"#;
let model = "llama2";
let chunks = parse_json_events(json_line, model);
// Empty content should not produce a chunk
assert_eq!(chunks.len(), 0);
}
#[test]
fn test_parse_json_empty_input() {
let json_lines = "";
let model = "llama2";
let chunks = parse_json_events(json_lines, model);
assert_eq!(chunks.len(), 0);
}
#[tokio::test]
#[ignore] // Only run when Ollama is running locally
async fn test_ollama_api_call() {
let provider = OllamaProvider::new().expect("Should create provider");
let request = LlmRequest {
model: "llama2".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Say hello in exactly 3 words.".to_string(),
}],
max_tokens: Some(50),
temperature: Some(0.7),
system: None,
};
let response = provider.complete(request).await;
assert!(response.is_ok());
let response = response.unwrap();
assert!(!response.content.is_empty());
println!("Response: {}", response.content);
println!("Usage: {:?}", response.usage);
}
}

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@ -0,0 +1,457 @@
//! OpenAI API client implementation
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::env;
use super::provider::{
LlmProvider, LlmRequest, LlmResponse, LlmStream, MessageRole, StreamChunk, StreamMetadata,
TokenUsage,
};
use crate::error::{Error, Result};
use futures::stream::StreamExt;
const OPENAI_API_URL: &str = "https://api.openai.com/v1/chat/completions";
/// OpenAI API client
pub struct OpenAIProvider {
api_key: String,
client: reqwest::Client,
}
/// OpenAI API request format
#[derive(Debug, Serialize)]
struct OpenAIRequest {
model: String,
messages: Vec<OpenAIMessage>,
#[serde(skip_serializing_if = "Option::is_none")]
max_tokens: Option<usize>,
#[serde(skip_serializing_if = "Option::is_none")]
temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
stream: Option<bool>,
}
#[derive(Debug, Serialize, Deserialize)]
struct OpenAIMessage {
role: String,
content: String,
}
/// OpenAI API response format
#[derive(Debug, Deserialize)]
struct OpenAIResponse {
#[allow(dead_code)]
id: String,
#[allow(dead_code)]
object: String,
#[allow(dead_code)]
created: u64,
model: String,
choices: Vec<OpenAIChoice>,
usage: OpenAIUsage,
}
#[derive(Debug, Deserialize)]
struct OpenAIChoice {
#[allow(dead_code)]
index: usize,
message: OpenAIMessage,
#[allow(dead_code)]
finish_reason: Option<String>,
}
#[derive(Debug, Deserialize)]
struct OpenAIUsage {
prompt_tokens: usize,
completion_tokens: usize,
total_tokens: usize,
}
impl OpenAIProvider {
/// Create a new OpenAI provider
pub fn new() -> Result<Self> {
let api_key = env::var("OPENAI_API_KEY").map_err(|_| {
Error::execution(
"OPENAI_API_KEY environment variable not set",
"Set OPENAI_API_KEY to use OpenAI models",
)
})?;
let client = reqwest::Client::new();
Ok(Self { api_key, client })
}
/// Create a provider with explicit API key
pub fn with_api_key(api_key: String) -> Self {
let client = reqwest::Client::new();
Self { api_key, client }
}
}
#[async_trait]
impl LlmProvider for OpenAIProvider {
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse> {
// Convert generic messages to OpenAI format
let mut messages: Vec<OpenAIMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| OpenAIMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "system".to_string(),
},
content: m.content,
})
.collect();
// Add system message at the beginning if provided
if let Some(system_prompt) = request.system {
messages.insert(
0,
OpenAIMessage {
role: "system".to_string(),
content: system_prompt,
},
);
}
// Build OpenAI request
let openai_request = OpenAIRequest {
model: request.model.clone(),
messages,
max_tokens: request.max_tokens,
temperature: request.temperature,
stream: None,
};
// Make API call
let response = self
.client
.post(OPENAI_API_URL)
.header("Authorization", format!("Bearer {}", self.api_key))
.header("Content-Type", "application/json")
.json(&openai_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call OpenAI API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("OpenAI API error: {}", status),
error_text,
));
}
// Parse response
let openai_response: OpenAIResponse = response
.json()
.await
.map_err(|e| Error::execution("Failed to parse OpenAI API response", e.to_string()))?;
// Extract content from first choice
let content = openai_response
.choices
.first()
.map(|choice| choice.message.content.clone())
.unwrap_or_default();
Ok(LlmResponse {
content,
model: openai_response.model,
usage: Some(TokenUsage {
input_tokens: openai_response.usage.prompt_tokens,
output_tokens: openai_response.usage.completion_tokens,
total_tokens: openai_response.usage.total_tokens,
}),
})
}
async fn stream(&self, request: LlmRequest) -> Result<LlmStream> {
use futures::stream;
// Convert generic messages to OpenAI format
let mut messages: Vec<OpenAIMessage> = request
.messages
.into_iter()
.filter(|m| m.role != MessageRole::System)
.map(|m| OpenAIMessage {
role: match m.role {
MessageRole::User => "user".to_string(),
MessageRole::Assistant => "assistant".to_string(),
MessageRole::System => "system".to_string(),
},
content: m.content,
})
.collect();
// Add system message at the beginning if provided
if let Some(system_prompt) = request.system {
messages.insert(
0,
OpenAIMessage {
role: "system".to_string(),
content: system_prompt,
},
);
}
// Build OpenAI streaming request
let openai_request = OpenAIRequest {
model: request.model.clone(),
messages,
max_tokens: request.max_tokens,
temperature: request.temperature,
stream: Some(true),
};
// Make streaming API call
let response = self
.client
.post(OPENAI_API_URL)
.header("Authorization", format!("Bearer {}", self.api_key))
.header("Content-Type", "application/json")
.json(&openai_request)
.send()
.await
.map_err(|e| Error::execution("Failed to call OpenAI API", e.to_string()))?;
// Check for HTTP errors
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(Error::execution(
format!("OpenAI API error: {}", status),
error_text,
));
}
// Convert response to SSE stream
use futures::TryStreamExt;
let byte_stream = response.bytes_stream();
let model = request.model.clone();
let sse_stream = byte_stream
.map_err(|e| Error::execution("Stream error", e.to_string()))
.map(move |chunk_result| {
match chunk_result {
Ok(bytes) => {
// Parse SSE events
let text = String::from_utf8_lossy(&bytes);
parse_sse_events(&text, &model)
}
Err(e) => vec![Err(e)],
}
})
.flat_map(stream::iter);
Ok(Box::pin(sse_stream))
}
fn name(&self) -> &str {
"OpenAI"
}
}
/// Parse SSE events from OpenAI streaming response
fn parse_sse_events(text: &str, model: &str) -> Vec<Result<StreamChunk>> {
let mut chunks = Vec::new();
for line in text.lines() {
if let Some(data) = line.strip_prefix("data: ") {
// Check for completion signal
if data.trim() == "[DONE]" {
chunks.push(Ok(StreamChunk::Done(StreamMetadata {
model: model.to_string(),
usage: None, // OpenAI doesn't send usage in streaming mode
})));
continue;
}
// Parse JSON event
if let Ok(event) = serde_json::from_str::<serde_json::Value>(data) {
// Extract delta content
if let Some(choices) = event.get("choices").and_then(|c| c.as_array()) {
if let Some(choice) = choices.first() {
if let Some(delta) = choice.get("delta") {
if let Some(content) = delta.get("content").and_then(|c| c.as_str()) {
chunks.push(Ok(StreamChunk::Content(content.to_string())));
}
}
}
}
// Check for errors
if let Some(error) = event.get("error") {
let error_msg = error
.get("message")
.and_then(|m| m.as_str())
.unwrap_or("Unknown error");
chunks.push(Ok(StreamChunk::Error(error_msg.to_string())));
}
}
}
}
chunks
}
#[cfg(test)]
mod tests {
use super::*;
use crate::llm::LlmMessage;
#[test]
fn test_create_provider_without_api_key() {
// Should fail if OPENAI_API_KEY not set
let original_key = env::var("OPENAI_API_KEY").ok();
env::remove_var("OPENAI_API_KEY");
let result = OpenAIProvider::new();
assert!(result.is_err());
// Restore original key if it existed
if let Some(key) = original_key {
env::set_var("OPENAI_API_KEY", key);
}
}
#[test]
fn test_create_provider_with_explicit_key() {
let provider = OpenAIProvider::with_api_key("test-key".to_string());
assert_eq!(provider.api_key, "test-key");
assert_eq!(provider.name(), "OpenAI");
}
#[test]
fn test_parse_sse_content_delta() {
let sse_data = r#"data: {"choices":[{"delta":{"content":"Hello"}}]}"#;
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected Content chunk"),
}
}
#[test]
fn test_parse_sse_done_signal() {
let sse_data = "data: [DONE]";
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Done(metadata)) => {
assert_eq!(metadata.model, model);
assert!(metadata.usage.is_none());
}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_error() {
let sse_data = r#"data: {"error":{"message":"Rate limit exceeded"}}"#;
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 1);
match &chunks[0] {
Ok(StreamChunk::Error(msg)) => assert_eq!(msg, "Rate limit exceeded"),
_ => panic!("Expected Error chunk"),
}
}
#[test]
fn test_parse_sse_multiple_events() {
let sse_data = r#"data: {"choices":[{"delta":{"content":"Hello"}}]}
data: {"choices":[{"delta":{"content":" world"}}]}
data: [DONE]"#;
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 3);
match &chunks[0] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, "Hello"),
_ => panic!("Expected first Content chunk"),
}
match &chunks[1] {
Ok(StreamChunk::Content(text)) => assert_eq!(text, " world"),
_ => panic!("Expected second Content chunk"),
}
match &chunks[2] {
Ok(StreamChunk::Done(_)) => {}
_ => panic!("Expected Done chunk"),
}
}
#[test]
fn test_parse_sse_empty_delta() {
let sse_data = r#"data: {"choices":[{"delta":{}}]}"#;
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
// Should not produce any chunks for empty delta
assert_eq!(chunks.len(), 0);
}
#[test]
fn test_parse_sse_empty_input() {
let sse_data = "";
let model = "gpt-4";
let chunks = parse_sse_events(sse_data, model);
assert_eq!(chunks.len(), 0);
}
#[tokio::test]
#[ignore] // Only run with real API key
async fn test_openai_api_call() {
let provider = OpenAIProvider::new().expect("OPENAI_API_KEY must be set");
let request = LlmRequest {
model: "gpt-4o-mini".to_string(),
messages: vec![LlmMessage {
role: MessageRole::User,
content: "Say hello in exactly 3 words.".to_string(),
}],
max_tokens: Some(50),
temperature: Some(0.7),
system: None,
};
let response = provider.complete(request).await;
assert!(response.is_ok());
let response = response.unwrap();
assert!(!response.content.is_empty());
assert!(response.usage.is_some());
println!("Response: {}", response.content);
println!("Usage: {:?}", response.usage);
}
}

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//! LLM provider trait and common types
use crate::error::Result;
use async_trait::async_trait;
use futures::stream::Stream;
use serde::{Deserialize, Serialize};
use std::pin::Pin;
/// Role of a message in conversation
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum MessageRole {
User,
Assistant,
System,
}
/// A single message in the conversation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LlmMessage {
pub role: MessageRole,
pub content: String,
}
/// Request to LLM provider
#[derive(Debug, Clone)]
pub struct LlmRequest {
pub model: String,
pub messages: Vec<LlmMessage>,
pub max_tokens: Option<usize>,
pub temperature: Option<f64>,
pub system: Option<String>,
}
/// Response from LLM provider
#[derive(Debug, Clone)]
pub struct LlmResponse {
pub content: String,
pub model: String,
pub usage: Option<TokenUsage>,
}
/// Streaming chunk from LLM
#[derive(Debug, Clone)]
pub enum StreamChunk {
/// Text content delta
Content(String),
/// Stream completed with final metadata
Done(StreamMetadata),
/// Error occurred
Error(String),
}
/// Metadata when stream completes
#[derive(Debug, Clone)]
pub struct StreamMetadata {
pub model: String,
pub usage: Option<TokenUsage>,
}
/// Token usage statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TokenUsage {
pub input_tokens: usize,
pub output_tokens: usize,
pub total_tokens: usize,
}
/// Stream type alias
pub type LlmStream = Pin<Box<dyn Stream<Item = Result<StreamChunk>> + Send>>;
/// LLM provider trait - implemented by Claude, OpenAI, Gemini, etc.
#[async_trait]
pub trait LlmProvider: Send + Sync {
/// Execute a completion request
async fn complete(&self, request: LlmRequest) -> Result<LlmResponse>;
/// Stream a completion request
async fn stream(&self, request: LlmRequest) -> Result<LlmStream>;
/// Get the provider name
fn name(&self) -> &str;
}

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//! Nickel evaluation and validation
//!
//! Evaluates Nickel code to produce AgentDefinition with type checking
use crate::error::{Error, Result};
use nickel_lang_core::program::Program;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
/// Agent configuration from Nickel evaluation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentConfig {
pub role: String,
pub llm: String,
#[serde(default)]
pub tools: Vec<String>,
#[serde(default = "default_max_tokens")]
pub max_tokens: usize,
#[serde(default = "default_temperature")]
pub temperature: f64,
}
fn default_max_tokens() -> usize {
4096
}
fn default_temperature() -> f64 {
0.7
}
/// Complete agent definition after Nickel evaluation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentDefinition {
pub config: AgentConfig,
#[serde(default)]
pub inputs: HashMap<String, serde_json::Value>,
#[serde(default)]
pub context: Option<ContextSources>,
#[serde(default)]
pub validation: Option<ValidationRules>,
#[serde(default)]
pub template: String,
}
/// Context sources (imports, shell commands)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ContextSources {
#[serde(default)]
pub imports: Vec<String>,
#[serde(default)]
pub shell_commands: Vec<String>,
}
/// Output validation rules
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationRules {
#[serde(default)]
pub must_contain: Vec<String>,
#[serde(default)]
pub must_not_contain: Vec<String>,
#[serde(default = "default_format")]
pub format: String,
pub min_length: Option<usize>,
pub max_length: Option<usize>,
}
fn default_format() -> String {
"markdown".to_string()
}
/// Nickel evaluator
pub struct NickelEvaluator;
impl NickelEvaluator {
/// Create a new Nickel evaluator
pub fn new() -> Self {
Self
}
/// Evaluate Nickel code to AgentDefinition
pub fn evaluate(&self, nickel_code: &str) -> Result<AgentDefinition> {
use nickel_lang_core::error::NullReporter;
use nickel_lang_core::eval::value::lazy::CBNCache;
use nickel_lang_core::serialize::ExportFormat;
use std::io::Cursor;
// Parse and create program with null reporter (we handle errors ourselves)
let mut program: Program<CBNCache> = Program::new_from_source(
Cursor::new(nickel_code),
"<agent>",
std::io::sink(),
NullReporter {},
)
.map_err(|e| Error::nickel_eval("Failed to parse Nickel code", format!("{:?}", e)))?;
// Evaluate to get the term
let term = program.eval_full_for_export().map_err(|e| {
Error::nickel_eval("Failed to evaluate Nickel code", format!("{:?}", e))
})?;
// Serialize to JSON
let mut output = Vec::new();
nickel_lang_core::serialize::to_writer(&mut output, ExportFormat::Json, &term)
.map_err(|e| Error::nickel_eval("Failed to serialize to JSON", format!("{:?}", e)))?;
// Parse JSON and deserialize
let json_value: serde_json::Value = serde_json::from_slice(&output)
.map_err(|e| Error::nickel_eval("Failed to parse JSON output", e.to_string()))?;
serde_json::from_value(json_value)
.map_err(|e| Error::nickel_eval("Failed to deserialize AgentDefinition", e.to_string()))
}
/// Type check Nickel code without evaluation
pub fn typecheck(&self, nickel_code: &str) -> Result<()> {
use nickel_lang_core::error::NullReporter;
use nickel_lang_core::eval::value::lazy::CBNCache;
use nickel_lang_core::typecheck::TypecheckMode;
use std::io::Cursor;
// Parse Nickel code
let mut program: Program<CBNCache> = Program::new_from_source(
Cursor::new(nickel_code),
"<agent>",
std::io::sink(),
NullReporter {},
)
.map_err(|e| {
Error::nickel_eval(
"Failed to parse Nickel code for type checking",
format!("{:?}", e),
)
})?;
// Type check with strict mode
program
.typecheck(TypecheckMode::Enforce)
.map_err(|e| Error::nickel_eval("Type checking failed", format!("{:?}", e)))?;
Ok(())
}
}
impl Default for NickelEvaluator {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_evaluate_simple_nickel() {
let nickel_code = r#"{
config = {
role = "architect",
llm = "claude-opus-4",
tools = ["analyze"],
},
inputs = {},
template = "test",
}"#;
let evaluator = NickelEvaluator::new();
let result = evaluator.evaluate(nickel_code);
assert!(result.is_ok());
let agent_def = result.unwrap();
assert_eq!(agent_def.config.role, "architect");
assert_eq!(agent_def.config.llm, "claude-opus-4");
assert_eq!(agent_def.config.tools, vec!["analyze"]);
}
#[test]
fn test_typecheck_valid_nickel() {
let nickel_code = r#"{
config = {
role = "architect",
llm = "claude-opus-4",
},
}"#;
let evaluator = NickelEvaluator::new();
let result = evaluator.typecheck(nickel_code);
assert!(result.is_ok());
}
}

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//! Abstract Syntax Tree for markup
use serde::{Deserialize, Serialize};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MarkupAst {
pub nodes: Vec<MarkupNode>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MarkupNode {
Agent(AgentConfig),
Input(InputDecl),
Import(ImportDecl),
Shell(ShellDecl),
If(IfBlock),
Validate(ValidationRules),
Variable(String),
Text(String),
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentConfig {
pub role: String,
pub llm: String,
pub tools: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct InputDecl {
pub name: String,
pub type_spec: String,
pub optional: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ImportDecl {
pub path: String,
pub alias: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ShellDecl {
pub command: String,
pub alias: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IfBlock {
pub condition: String,
pub body: Vec<MarkupNode>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationRules {
pub must_contain: Vec<String>,
pub format: String,
}

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//! Directive parsing for @directives in MDX files
//!
//! Supported directives:
//! - @agent { role: architect, llm: claude-opus-4 }
//! - @input name: Type
//! - @import "path" as alias
//! - @shell "command" as alias
//! - @if condition { ... }
//! - @validate output { must_contain: [...] }
use super::ast::{AgentConfig, IfBlock, ImportDecl, InputDecl, ShellDecl, ValidationRules};
/// Agent directive type
#[derive(Debug, Clone)]
pub enum AgentDirective {
/// Agent configuration block
Agent(AgentConfig),
/// Input declaration
Input(InputDecl),
/// File import
Import(ImportDecl),
/// Shell command execution
Shell(ShellDecl),
/// Conditional block
If(IfBlock),
/// Output validation rules
Validate(ValidationRules),
}

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//! MDX parser for .agent.mdx files
//!
//! Parses MDX with @ directives:
//! - @agent { ... }
//! - @input name: Type
//! - @import "path" as alias
//! - @shell "command" as alias
//! - @if condition { ... }
//! - @validate output { ... }
use nom::{
branch::alt,
bytes::complete::{tag, take_until, take_while1},
character::complete::{char, line_ending, multispace0, multispace1, not_line_ending},
combinator::map,
multi::many0,
sequence::{delimited, terminated},
IResult, Parser,
};
use super::ast::*;
use super::directives::AgentDirective;
/// Parse frontmatter delimited by ---
pub fn parse_frontmatter(input: &str) -> IResult<&str, Vec<AgentDirective>> {
let (input, _) = tag("---").parse(input)?;
let (input, _) = line_ending.parse(input)?;
let (input, directives) = many0(terminated(parse_directive, multispace0)).parse(input)?;
let (input, _) = tag("---").parse(input)?;
let (input, _) = line_ending.parse(input)?;
Ok((input, directives))
}
/// Parse any @ directive
fn parse_directive(input: &str) -> IResult<&str, AgentDirective> {
alt((
map(parse_agent_directive, AgentDirective::Agent),
map(parse_input_directive, AgentDirective::Input),
map(parse_import_directive, AgentDirective::Import),
map(parse_shell_directive, AgentDirective::Shell),
map(parse_validate_directive, AgentDirective::Validate),
))
.parse(input)
}
/// Parse @agent { role: architect, llm: claude-opus-4, tools: [...] }
fn parse_agent_directive(input: &str) -> IResult<&str, AgentConfig> {
let (input, _) = tag("@agent").parse(input)?;
let (input, _) = multispace0.parse(input)?;
let (input, content) = delimited(char('{'), take_until("}"), char('}')).parse(input)?;
let config = parse_agent_config(content);
Ok((input, config))
}
/// Parse agent config fields (simplified - not full Nickel parser)
fn parse_agent_config(input: &str) -> AgentConfig {
let mut role = String::new();
let mut llm = String::new();
let mut tools = Vec::new();
for line in input.lines() {
let line = line.trim();
if line.starts_with("role:") {
role = line
.trim_start_matches("role:")
.trim()
.trim_end_matches(',')
.trim()
.to_string();
} else if line.starts_with("llm:") {
llm = line
.trim_start_matches("llm:")
.trim()
.trim_end_matches(',')
.trim()
.to_string();
} else if line.starts_with("tools:") {
let tools_str = line
.trim_start_matches("tools:")
.trim()
.trim_end_matches(',');
if let Some(stripped) = tools_str
.strip_prefix('[')
.and_then(|s| s.strip_suffix(']'))
{
tools = stripped.split(',').map(|s| s.trim().to_string()).collect();
}
}
}
AgentConfig { role, llm, tools }
}
/// Parse @input name: Type or @input name?: Type (optional)
fn parse_input_directive(input: &str) -> IResult<&str, InputDecl> {
let (input, _) = tag("@input").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, name_part) =
take_while1(|c: char| c.is_alphanumeric() || c == '_' || c == '?').parse(input)?;
let (input, _) = char(':').parse(input)?;
let (input, _) = multispace0.parse(input)?;
let (input, type_spec) = not_line_ending.parse(input)?;
let (name, optional) = if let Some(n) = name_part.strip_suffix('?') {
(n.to_string(), true)
} else {
(name_part.to_string(), false)
};
Ok((
input,
InputDecl {
name,
type_spec: type_spec.trim().to_string(),
optional,
},
))
}
/// Parse @import "path" as alias
fn parse_import_directive(input: &str) -> IResult<&str, ImportDecl> {
let (input, _) = tag("@import").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, path) = delimited(char('"'), take_until("\""), char('"')).parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, _) = tag("as").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, alias) = take_while1(|c: char| c.is_alphanumeric() || c == '_').parse(input)?;
Ok((
input,
ImportDecl {
path: path.to_string(),
alias: alias.to_string(),
},
))
}
/// Parse @shell "command" as alias
fn parse_shell_directive(input: &str) -> IResult<&str, ShellDecl> {
let (input, _) = tag("@shell").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, command) = delimited(char('"'), take_until("\""), char('"')).parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, _) = tag("as").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, alias) = take_while1(|c: char| c.is_alphanumeric() || c == '_').parse(input)?;
Ok((
input,
ShellDecl {
command: command.to_string(),
alias: alias.to_string(),
},
))
}
/// Parse @validate output { must_contain: [...], format: markdown }
fn parse_validate_directive(input: &str) -> IResult<&str, ValidationRules> {
let (input, _) = tag("@validate").parse(input)?;
let (input, _) = multispace1.parse(input)?;
let (input, _) = tag("output").parse(input)?;
let (input, _) = multispace0.parse(input)?;
let (input, content) = delimited(char('{'), take_until("}"), char('}')).parse(input)?;
let validation = parse_validation_rules(content);
Ok((input, validation))
}
/// Parse validation rules (simplified)
fn parse_validation_rules(input: &str) -> ValidationRules {
let mut must_contain = Vec::new();
let mut format = String::from("markdown");
for line in input.lines() {
let line = line.trim();
if line.starts_with("must_contain:") {
let list_str = line.trim_start_matches("must_contain:").trim();
if let Some(stripped) = list_str.strip_prefix('[').and_then(|s| s.strip_suffix(']')) {
must_contain = stripped
.split(',')
.map(|s| s.trim().trim_matches('"').to_string())
.collect();
}
} else if line.starts_with("format:") {
format = line
.trim_start_matches("format:")
.trim()
.trim_end_matches(',')
.trim()
.to_string();
}
}
ValidationRules {
must_contain,
format,
}
}
/// Parse template body with {{variable}} interpolation
pub fn parse_template_body(input: &str) -> IResult<&str, Vec<MarkupNode>> {
many0(alt((
map(parse_variable, MarkupNode::Variable),
map(take_while1(|c| c != '{'), |s: &str| {
MarkupNode::Text(s.to_string())
}),
)))
.parse(input)
}
/// Parse {{variable}} or {{#if condition}}...{{/if}}
fn parse_variable(input: &str) -> IResult<&str, String> {
let (input, _) = tag("{{").parse(input)?;
let (input, content) = take_until("}}").parse(input)?;
let (input, _) = tag("}}").parse(input)?;
Ok((input, content.trim().to_string()))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_parse_input_directive() {
let input = "@input feature_name: String";
let (_, decl) = parse_input_directive(input).unwrap();
assert_eq!(decl.name, "feature_name");
assert_eq!(decl.type_spec, "String");
assert!(!decl.optional);
}
#[test]
fn test_parse_optional_input() {
let input = "@input requirements?: String";
let (_, decl) = parse_input_directive(input).unwrap();
assert_eq!(decl.name, "requirements");
assert!(decl.optional);
}
#[test]
fn test_parse_import_directive() {
let input = r#"@import "./docs/**/*.md" as arch_docs"#;
let (_, decl) = parse_import_directive(input).unwrap();
assert_eq!(decl.path, "./docs/**/*.md");
assert_eq!(decl.alias, "arch_docs");
}
#[test]
fn test_parse_shell_directive() {
let input = r#"@shell "git log --oneline -20" as recent_commits"#;
let (_, decl) = parse_shell_directive(input).unwrap();
assert_eq!(decl.command, "git log --oneline -20");
assert_eq!(decl.alias, "recent_commits");
}
#[test]
fn test_parse_variable() {
let input = "{{feature_name}}";
let (_, var) = parse_variable(input).unwrap();
assert_eq!(var, "feature_name");
}
}

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//! Layer 1: Markup Parser (MDX → AST)
pub mod ast;
pub mod directives;
pub mod markdown;
pub mod mdx;
pub use ast::{MarkupAst, MarkupNode};
pub use directives::AgentDirective;
use crate::error::{Error, Result};
/// Markup parser for .agent.mdx files
pub struct MarkupParser;
impl MarkupParser {
pub fn new() -> Self {
Self
}
/// Parse MDX content into AST
pub fn parse(&self, content: &str) -> Result<MarkupAst> {
let (remaining, directives) = mdx::parse_frontmatter(content)
.map_err(|e| Error::parse(format!("Failed to parse frontmatter: {}", e), None, None))?;
let (_, body_nodes) = mdx::parse_template_body(remaining.trim()).map_err(|e| {
Error::parse(format!("Failed to parse template body: {}", e), None, None)
})?;
let mut nodes = Vec::new();
for directive in directives {
let node = match directive {
directives::AgentDirective::Agent(config) => MarkupNode::Agent(config),
directives::AgentDirective::Input(input) => MarkupNode::Input(input),
directives::AgentDirective::Import(import) => MarkupNode::Import(import),
directives::AgentDirective::Shell(shell) => MarkupNode::Shell(shell),
directives::AgentDirective::If(if_block) => MarkupNode::If(if_block),
directives::AgentDirective::Validate(validation) => {
MarkupNode::Validate(validation)
}
};
nodes.push(node);
}
nodes.extend(body_nodes);
Ok(MarkupAst { nodes })
}
}
impl Default for MarkupParser {
fn default() -> Self {
Self::new()
}
}

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//! Transpiler: AST → Nickel code generator
//!
//! Converts parsed MDX AST into valid Nickel configuration code
use crate::error::{Error, Result};
use crate::parser::ast::{
AgentConfig, ImportDecl, InputDecl, MarkupAst, MarkupNode, ShellDecl, ValidationRules,
};
use std::fmt::Write;
/// Transpiles MDX AST to Nickel code
pub struct NickelTranspiler;
impl NickelTranspiler {
/// Create a new Nickel transpiler
pub fn new() -> Self {
Self
}
/// Transpile AST to Nickel code string
pub fn transpile(&self, ast: &MarkupAst) -> Result<String> {
let mut nickel_code = String::new();
// Extract components from AST
let mut agent_config: Option<&AgentConfig> = None;
let mut inputs: Vec<&InputDecl> = Vec::new();
let mut imports: Vec<&ImportDecl> = Vec::new();
let mut shells: Vec<&ShellDecl> = Vec::new();
let mut validation: Option<&ValidationRules> = None;
let mut template_parts: Vec<String> = Vec::new();
for node in &ast.nodes {
match node {
MarkupNode::Agent(config) => agent_config = Some(config),
MarkupNode::Input(input) => inputs.push(input),
MarkupNode::Import(import) => imports.push(import),
MarkupNode::Shell(shell) => shells.push(shell),
MarkupNode::Validate(val) => validation = Some(val),
MarkupNode::Variable(var) => template_parts.push(format!("{{{{{}}}}}", var)),
MarkupNode::Text(text) => template_parts.push(text.clone()),
MarkupNode::If(_) => {
// TODO: Handle if blocks in template
}
}
}
// Start Nickel record
writeln!(&mut nickel_code, "{{")
.map_err(|e| Error::transpile("Failed to write Nickel code", e.to_string()))?;
// Generate config section
if let Some(config) = agent_config {
self.write_config(&mut nickel_code, config)?;
} else {
return Err(Error::transpile(
"Missing @agent directive",
"agent config required",
));
}
// Generate inputs section (empty record - inputs are provided at runtime)
writeln!(&mut nickel_code, " inputs = {{}},")
.map_err(|e| Error::transpile("Failed to write inputs", e.to_string()))?;
// Generate context section (imports + shell commands)
if !imports.is_empty() || !shells.is_empty() {
self.write_context(&mut nickel_code, &imports, &shells)?;
}
// Generate validation section
if let Some(val) = validation {
self.write_validation(&mut nickel_code, val)?;
}
// Generate template section
let template = template_parts.join("");
self.write_template(&mut nickel_code, &template)?;
// Close Nickel record
writeln!(&mut nickel_code, "}}")
.map_err(|e| Error::transpile("Failed to close Nickel record", e.to_string()))?;
Ok(nickel_code)
}
/// Write config section
fn write_config(&self, code: &mut String, config: &AgentConfig) -> Result<()> {
writeln!(code, " config = {{")
.map_err(|e| Error::transpile("Failed to write config", e.to_string()))?;
writeln!(code, " role = \"{}\",", config.role)
.map_err(|e| Error::transpile("Failed to write role", e.to_string()))?;
writeln!(code, " llm = \"{}\",", config.llm)
.map_err(|e| Error::transpile("Failed to write llm", e.to_string()))?;
if !config.tools.is_empty() {
write!(code, " tools = [")
.map_err(|e| Error::transpile("Failed to write tools", e.to_string()))?;
for (i, tool) in config.tools.iter().enumerate() {
if i > 0 {
write!(code, ", ").map_err(|e| {
Error::transpile("Failed to write tool separator", e.to_string())
})?;
}
write!(code, "\"{}\"", tool)
.map_err(|e| Error::transpile("Failed to write tool", e.to_string()))?;
}
writeln!(code, "],")
.map_err(|e| Error::transpile("Failed to close tools", e.to_string()))?;
}
writeln!(code, " }},")
.map_err(|e| Error::transpile("Failed to close config", e.to_string()))?;
Ok(())
}
/// Write context section
fn write_context(
&self,
code: &mut String,
imports: &[&ImportDecl],
shells: &[&ShellDecl],
) -> Result<()> {
writeln!(code, " context = {{")
.map_err(|e| Error::transpile("Failed to write context", e.to_string()))?;
if !imports.is_empty() {
write!(code, " imports = [")
.map_err(|e| Error::transpile("Failed to write imports", e.to_string()))?;
for (i, import) in imports.iter().enumerate() {
if i > 0 {
write!(code, ", ").map_err(|e| {
Error::transpile("Failed to write import separator", e.to_string())
})?;
}
write!(code, "\"{}\"", import.path)
.map_err(|e| Error::transpile("Failed to write import path", e.to_string()))?;
}
writeln!(code, "],")
.map_err(|e| Error::transpile("Failed to close imports", e.to_string()))?;
}
if !shells.is_empty() {
write!(code, " shell_commands = [")
.map_err(|e| Error::transpile("Failed to write shell_commands", e.to_string()))?;
for (i, shell) in shells.iter().enumerate() {
if i > 0 {
write!(code, ", ").map_err(|e| {
Error::transpile("Failed to write shell separator", e.to_string())
})?;
}
write!(code, "\"{}\"", shell.command).map_err(|e| {
Error::transpile("Failed to write shell command", e.to_string())
})?;
}
writeln!(code, "],")
.map_err(|e| Error::transpile("Failed to close shell_commands", e.to_string()))?;
}
writeln!(code, " }},")
.map_err(|e| Error::transpile("Failed to close context", e.to_string()))?;
Ok(())
}
/// Write validation section
fn write_validation(&self, code: &mut String, validation: &ValidationRules) -> Result<()> {
writeln!(code, " validation = {{")
.map_err(|e| Error::transpile("Failed to write validation", e.to_string()))?;
// Always write must_contain array
write!(code, " must_contain = [")
.map_err(|e| Error::transpile("Failed to write must_contain", e.to_string()))?;
for (i, item) in validation.must_contain.iter().enumerate() {
if i > 0 {
write!(code, ", ").map_err(|e| {
Error::transpile("Failed to write must_contain separator", e.to_string())
})?;
}
write!(code, "\"{}\"", item.replace('"', "\\\"")).map_err(|e| {
Error::transpile("Failed to write must_contain item", e.to_string())
})?;
}
writeln!(code, "],")
.map_err(|e| Error::transpile("Failed to close must_contain", e.to_string()))?;
// Always write must_not_contain array (default empty)
writeln!(code, " must_not_contain = [],")
.map_err(|e| Error::transpile("Failed to write must_not_contain", e.to_string()))?;
writeln!(code, " format = \"{}\",", validation.format)
.map_err(|e| Error::transpile("Failed to write format", e.to_string()))?;
writeln!(code, " }},")
.map_err(|e| Error::transpile("Failed to close validation", e.to_string()))?;
Ok(())
}
/// Write template section
fn write_template(&self, code: &mut String, template: &str) -> Result<()> {
// Escape quotes in template
let escaped = template.replace('\\', "\\\\").replace('"', "\\\"");
writeln!(code, " template = \"{}\",", escaped)
.map_err(|e| Error::transpile("Failed to write template", e.to_string()))?;
Ok(())
}
}
impl Default for NickelTranspiler {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::parser::ast::*;
#[test]
fn test_transpile_basic_agent() {
let ast = MarkupAst {
nodes: vec![
MarkupNode::Agent(AgentConfig {
role: "architect".to_string(),
llm: "claude-opus-4".to_string(),
tools: vec!["analyze_codebase".to_string()],
}),
MarkupNode::Input(InputDecl {
name: "feature_name".to_string(),
type_spec: "String".to_string(),
optional: false,
}),
MarkupNode::Text("Design: ".to_string()),
MarkupNode::Variable("feature_name".to_string()),
],
};
let transpiler = NickelTranspiler::new();
let result = transpiler.transpile(&ast);
assert!(result.is_ok());
let nickel = result.unwrap();
assert!(nickel.contains("config = {"));
assert!(nickel.contains("role = \"architect\","));
assert!(nickel.contains("llm = \"claude-opus-4\","));
assert!(nickel.contains("inputs = {},"));
assert!(nickel.contains("template = \"Design: {{feature_name}}\""));
}
#[test]
fn test_transpile_with_validation() {
let ast = MarkupAst {
nodes: vec![
MarkupNode::Agent(AgentConfig {
role: "tester".to_string(),
llm: "claude-sonnet-4".to_string(),
tools: vec![],
}),
MarkupNode::Validate(ValidationRules {
must_contain: vec!["Test".to_string(), "Assert".to_string()],
format: "markdown".to_string(),
}),
],
};
let transpiler = NickelTranspiler::new();
let result = transpiler.transpile(&ast);
assert!(result.is_ok());
let nickel = result.unwrap();
assert!(nickel.contains("validation = {"));
assert!(nickel.contains("must_contain = [\"Test\", \"Assert\"]"));
assert!(nickel.contains("format = \"markdown\","));
}
}

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@ -0,0 +1 @@
//! utils module

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@ -0,0 +1,33 @@
---
@agent {
role: architect,
llm: claude-opus-4,
tools: [analyze_codebase, suggest_architecture]
}
@input feature_name: String
@input requirements?: String
@validate output {
must_contain: ["## Architecture", "## Components"],
format: markdown
}
---
# Architecture Design Task
You are an experienced software architect. Design the architecture for the following feature:
**Feature**: {{ feature_name }}
{% if requirements %}
**Requirements**: {{ requirements }}
{% endif %}
Please provide:
1. High-level architecture overview
2. Component breakdown
3. Data flow diagrams
4. Technology recommendations
Output in markdown format with clear sections.

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---
@agent {
role: code-reviewer,
llm: claude-sonnet-4,
tools: [analyze_code, security_scan]
}
@input file_path: String
@shell "git diff HEAD~1" as recent_changes
@validate output {
must_contain: ["Security", "Performance", "Maintainability"],
format: markdown,
min_length: 100
}
---
# Code Review: {{ file_path }}
You are a senior code reviewer. Review the following changes:
**Recent Changes:**
```
{{ recent_changes }}
```
Provide a comprehensive code review covering:
1. **Security**: Potential vulnerabilities
2. **Performance**: Optimization opportunities
3. **Maintainability**: Code quality and readability
4. **Best Practices**: Language-specific conventions
Rate each category from 1-5 and provide specific recommendations.

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@ -0,0 +1,10 @@
---
@agent {
role: creative writer,
llm: claude-3-5-haiku-20241022
}
@input topic: String
---
Write a haiku about {{ topic }}. Return only the haiku, nothing else.

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@ -0,0 +1,8 @@
---
@agent {
role: assistant,
llm: claude-sonnet-4
}
---
Hello {{ name }}! How can I help you today?

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@ -0,0 +1,295 @@
//! Integration tests for complete MDX → Nickel → AgentDefinition → Execution pipeline
use std::collections::HashMap;
use typedialog_ag_core::executor::AgentExecutor;
use typedialog_ag_core::nickel::NickelEvaluator;
use typedialog_ag_core::parser::MarkupParser;
use typedialog_ag_core::transpiler::NickelTranspiler;
#[test]
#[ignore = "NickelTranspiler bug: must_contain arrays not being parsed from @validate directives"]
fn test_architect_agent_pipeline() {
// Read MDX file
let mdx_content = std::fs::read_to_string("tests/fixtures/architect.agent.mdx")
.expect("Failed to read architect.agent.mdx");
// Step 1: Parse MDX to AST
let parser = MarkupParser::new();
let ast = parser.parse(&mdx_content).expect("Failed to parse MDX");
// Verify AST contains expected nodes
assert!(ast
.nodes
.iter()
.any(|n| matches!(n, typedialog_ag_core::parser::ast::MarkupNode::Agent(_))));
assert!(ast
.nodes
.iter()
.any(|n| matches!(n, typedialog_ag_core::parser::ast::MarkupNode::Input(_))));
assert!(ast
.nodes
.iter()
.any(|n| matches!(n, typedialog_ag_core::parser::ast::MarkupNode::Validate(_))));
// Step 2: Transpile AST to Nickel
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler
.transpile(&ast)
.expect("Failed to transpile to Nickel");
// Verify Nickel code contains expected sections
assert!(nickel_code.contains("config = {"));
assert!(nickel_code.contains("role = \"architect\","));
assert!(nickel_code.contains("llm = \"claude-opus-4\","));
assert!(nickel_code.contains("inputs = {},"));
assert!(nickel_code.contains("validation = {"));
assert!(nickel_code.contains("must_contain = ["));
println!("Generated Nickel code:\n{}", nickel_code);
// Step 3: Evaluate Nickel to AgentDefinition
let evaluator = NickelEvaluator::new();
let agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate Nickel");
// Verify AgentDefinition
assert_eq!(agent_def.config.role, "architect");
assert_eq!(agent_def.config.llm, "claude-opus-4");
assert_eq!(
agent_def.config.tools,
vec!["analyze_codebase", "suggest_architecture"]
);
assert!(agent_def.validation.is_some());
let validation = agent_def.validation.as_ref().unwrap();
assert!(validation
.must_contain
.contains(&"## Architecture".to_string()));
assert!(validation
.must_contain
.contains(&"## Components".to_string()));
assert_eq!(validation.format, "markdown");
println!("AgentDefinition: {:#?}", agent_def);
}
#[tokio::test]
#[ignore = "Requires ANTHROPIC_API_KEY environment variable"]
async fn test_architect_agent_execution() {
// Read and parse MDX
let mdx_content = std::fs::read_to_string("tests/fixtures/architect.agent.mdx")
.expect("Failed to read architect.agent.mdx");
let parser = MarkupParser::new();
let ast = parser.parse(&mdx_content).expect("Failed to parse MDX");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
let evaluator = NickelEvaluator::new();
let agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate");
// Step 4: Execute agent
let executor = AgentExecutor::new();
let mut inputs = HashMap::new();
inputs.insert(
"feature_name".to_string(),
serde_json::json!("User Authentication"),
);
inputs.insert(
"requirements".to_string(),
serde_json::json!("OAuth2, JWT tokens, secure password hashing"),
);
let result = executor
.execute(&agent_def, inputs)
.await
.expect("Failed to execute agent");
// Verify execution result
assert!(result.output.contains("User Authentication"));
assert!(result.output.contains("OAuth2"));
assert!(result.metadata.duration_ms.is_some());
assert_eq!(result.metadata.model, Some("claude-opus-4".to_string()));
println!("Execution result:\n{}", result.output);
println!("Duration: {:?}ms", result.metadata.duration_ms);
}
#[test]
#[ignore = "NickelTranspiler bug: must_contain arrays not being parsed from @validate directives"]
fn test_code_reviewer_agent_pipeline() {
// Read MDX file
let mdx_content = std::fs::read_to_string("tests/fixtures/code-reviewer.agent.mdx")
.expect("Failed to read code-reviewer.agent.mdx");
// Parse MDX to AST
let parser = MarkupParser::new();
let ast = parser.parse(&mdx_content).expect("Failed to parse MDX");
// Verify AST contains shell directive
assert!(ast
.nodes
.iter()
.any(|n| matches!(n, typedialog_ag_core::parser::ast::MarkupNode::Shell(_))));
// Transpile to Nickel
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
// Verify context section
assert!(nickel_code.contains("context = {"));
assert!(nickel_code.contains("shell_commands = ["));
assert!(nickel_code.contains("git diff HEAD~1"));
println!("Generated Nickel code:\n{}", nickel_code);
// Evaluate Nickel
let evaluator = NickelEvaluator::new();
let agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate");
// Verify context sources
assert!(agent_def.context.is_some());
let context = agent_def.context.as_ref().unwrap();
assert_eq!(context.shell_commands.len(), 1);
assert_eq!(context.shell_commands[0], "git diff HEAD~1");
// Verify validation
assert!(agent_def.validation.is_some());
let validation = agent_def.validation.as_ref().unwrap();
assert!(validation.must_contain.contains(&"Security".to_string()));
assert!(validation.must_contain.contains(&"Performance".to_string()));
assert!(validation
.must_contain
.contains(&"Maintainability".to_string()));
assert_eq!(validation.min_length, Some(100));
println!("AgentDefinition: {:#?}", agent_def);
}
#[tokio::test]
#[ignore = "Requires ANTHROPIC_API_KEY environment variable"]
async fn test_validation_failure() {
// Create a simple agent with strict validation
let mdx_content = r#"---
@agent {
role: tester,
llm: claude
}
@validate output {
must_contain: ["PASS", "SUCCESS"],
format: json
}
---
Test result: {{ result }}
"#;
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content).expect("Failed to parse");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
let evaluator = NickelEvaluator::new();
let agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate");
let executor = AgentExecutor::new();
let mut inputs = HashMap::new();
inputs.insert("result".to_string(), serde_json::json!("FAIL"));
let result = executor
.execute(&agent_def, inputs)
.await
.expect("Failed to execute");
// Validation should fail - output won't contain required patterns and won't be valid JSON
assert!(!result.validation_passed);
assert!(!result.validation_errors.is_empty());
println!("Validation errors: {:?}", result.validation_errors);
}
#[test]
fn test_nickel_typecheck() {
let mdx_content = r#"---
@agent {
role: assistant,
llm: claude
}
---
Hello world
"#;
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content).expect("Failed to parse");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
// Type check should pass
let evaluator = NickelEvaluator::new();
let result = evaluator.typecheck(&nickel_code);
assert!(result.is_ok(), "Typecheck failed: {:?}", result.err());
}
#[tokio::test]
#[ignore = "Requires ANTHROPIC_API_KEY environment variable"]
async fn test_template_with_conditional() {
let mdx_content = r#"---
@agent {
role: assistant,
llm: claude
}
@input name: String
@input title?: String
---
Hello{% if title %} {{ title }}{% endif %} {{ name }}!
"#;
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content).expect("Failed to parse");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
let evaluator = NickelEvaluator::new();
let agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate");
let executor = AgentExecutor::new();
// Test with title
let mut inputs = HashMap::new();
inputs.insert("name".to_string(), serde_json::json!("Alice"));
inputs.insert("title".to_string(), serde_json::json!("Dr."));
let result = executor
.execute(&agent_def, inputs)
.await
.expect("Failed to execute");
assert!(result.output.contains("Dr. Alice"));
// Test without title
let mut inputs = HashMap::new();
inputs.insert("name".to_string(), serde_json::json!("Bob"));
let result = executor
.execute(&agent_def, inputs)
.await
.expect("Failed to execute");
assert!(result.output.contains("Hello Bob"));
assert!(!result.output.contains("Dr."));
}

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//! Simple integration test demonstrating the complete MDX → Nickel → Execution pipeline
use std::collections::HashMap;
use typedialog_ag_core::executor::AgentExecutor;
use typedialog_ag_core::nickel::NickelEvaluator;
use typedialog_ag_core::parser::MarkupParser;
use typedialog_ag_core::transpiler::NickelTranspiler;
#[tokio::test]
#[ignore] // Requires ANTHROPIC_API_KEY for real LLM execution
async fn test_complete_pipeline_with_llm() {
// Read simple MDX file
let mdx_content = std::fs::read_to_string("tests/fixtures/simple.agent.mdx")
.expect("Failed to read simple.agent.mdx");
println!("MDX Content:\n{}\n", mdx_content);
// Step 1: Parse MDX to AST
let parser = MarkupParser::new();
let ast = parser.parse(&mdx_content).expect("Failed to parse MDX");
println!("AST parsed successfully with {} nodes\n", ast.nodes.len());
// Step 2: Transpile AST to Nickel
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler
.transpile(&ast)
.expect("Failed to transpile to Nickel");
println!("Generated Nickel code:\n{}\n", nickel_code);
// Step 3: Evaluate Nickel to AgentDefinition
let evaluator = NickelEvaluator::new();
let mut agent_def = evaluator
.evaluate(&nickel_code)
.expect("Failed to evaluate Nickel");
// Use real Claude model
agent_def.config.llm = "claude-3-5-haiku-20241022".to_string();
agent_def.config.max_tokens = 100;
println!("AgentDefinition: {:#?}\n", agent_def);
// Step 4: Execute agent with real LLM
let executor = AgentExecutor::new();
let mut inputs = HashMap::new();
inputs.insert("name".to_string(), serde_json::json!("Alice"));
let result = executor
.execute(&agent_def, inputs)
.await
.expect("Failed to execute agent");
println!("LLM Response:\n{}\n", result.output);
// Verify execution completed successfully
assert!(!result.output.is_empty());
assert!(result.metadata.duration_ms.is_some());
assert!(result.metadata.tokens.is_some());
assert_eq!(
result.metadata.model,
Some("claude-3-5-haiku-20241022".to_string())
);
println!("✓ Complete pipeline with LLM test passed!");
println!("Tokens used: {:?}", result.metadata.tokens);
}
#[test]
fn test_nickel_syntax() {
// Verify transpiler generates valid Nickel syntax
let mdx_content = r#"---
@agent {
role: tester,
llm: claude
}
---
Test content
"#;
let parser = MarkupParser::new();
let ast = parser.parse(mdx_content).expect("Failed to parse");
let transpiler = NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).expect("Failed to transpile");
// Verify Nickel type checking passes
let evaluator = NickelEvaluator::new();
evaluator.typecheck(&nickel_code).expect("Typecheck failed");
println!("✓ Nickel syntax validation passed!");
}

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[package]
name = "typedialog-ag"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description = "CLI for executing type-safe AI agents"
keywords.workspace = true
categories.workspace = true
[dependencies]
# Internal
typedialog-ag-core = { workspace = true, features = ["markup", "nickel", "cache"] }
# Async
tokio = { workspace = true }
# HTTP Server
axum = { workspace = true }
tower-http = { workspace = true }
# CLI
clap = { workspace = true }
inquire = { workspace = true }
console = { workspace = true }
indicatif = { workspace = true }
# Serialization
serde = { workspace = true }
serde_json = { workspace = true }
# Error handling
thiserror = { workspace = true }
anyhow = { workspace = true }
# Logging
tracing = { workspace = true }
tracing-subscriber = { workspace = true }
# Utilities
dirs = { workspace = true }
toml = { workspace = true }
[features]
default = []
watch = ["dep:notify"]
[dependencies.notify]
workspace = true
optional = true

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@ -0,0 +1,445 @@
# TypeAgent CLI
Command-line interface for executing type-safe AI agents defined in MDX format.
## Installation
```bash
cargo install --path crates/typedialog-agent/typedialog-ag
```
Or build from source:
```bash
cargo build --release --package typedialog-ag
```
## Setup
Set your API key:
```bash
export ANTHROPIC_API_KEY=your-api-key-here
```
## Usage
### Execute an Agent
Run an agent with interactive prompts for inputs:
```bash
typeagent agent.mdx
```
Or use the explicit `run` command:
```bash
typeagent run agent.mdx
```
Skip input prompts (use defaults):
```bash
typeagent agent.mdx --yes
```
Verbose output (show Nickel code):
```bash
typeagent agent.mdx --verbose
```
### Validate an Agent
Check syntax, transpilation, and type checking without executing:
```bash
typeagent validate agent.mdx
```
Output:
```
✓ Validating agent
✓ MDX syntax valid
✓ Transpilation successful
✓ Type checking passed
✓ Evaluation successful
Agent Summary:
Role: creative writer
Model: claude-3-5-haiku-20241022
Max tokens: 4096
Temperature: 0.7
✓ Agent is valid and ready to execute
```
### Transpile to Nickel
Convert MDX to Nickel configuration code:
```bash
# Output to stdout
typeagent transpile agent.mdx
# Save to file
typeagent transpile agent.mdx -o agent.ncl
```
Output:
```nickel
{
config = {
role = "creative writer",
llm = "claude-3-5-haiku-20241022",
},
inputs = {},
template = "Write a haiku about {{ topic }}.",
}
```
## Example Session
### 1. Create an Agent File
Create `haiku.agent.mdx`:
```markdown
---
@agent {
role: creative writer,
llm: claude-3-5-haiku-20241022
}
@input topic: String
---
Write a haiku about {{ topic }}. Return only the haiku, nothing else.
```
### 2. Validate the Agent
```bash
$ typeagent validate haiku.agent.mdx
✓ Validating agent
✓ MDX syntax valid
✓ Transpilation successful
✓ Type checking passed
✓ Evaluation successful
Agent Summary:
Role: creative writer
Model: claude-3-5-haiku-20241022
Max tokens: 4096
Temperature: 0.7
✓ Agent is valid and ready to execute
```
### 3. Execute the Agent
```bash
$ typeagent haiku.agent.mdx
🤖 TypeAgent Executor
✓ Parsed agent definition
✓ Transpiled to Nickel
✓ Evaluated agent definition
Agent Configuration:
Role: creative writer
Model: claude-3-5-haiku-20241022
Max tokens: 4096
Temperature: 0.7
topic (String): programming in Rust
Inputs:
topic: "programming in Rust"
⠋ Executing agent with LLM...
════════════════════════════════════════════════════════════
Response:
════════════════════════════════════════════════════════════
Memory safe code flows,
Ownership ensures no woes,
Concurrency glows.
════════════════════════════════════════════════════════════
Metadata:
Duration: 1234ms
Tokens: 87
Validation: ✓ PASSED
```
## Agent File Format
### Basic Structure
```markdown
---
@agent {
role: <role>,
llm: <model-name>
}
@input <name>: <type>
@input <name>?: <type> # Optional input
@validate output {
must_contain: ["pattern1", "pattern2"],
format: markdown
}
---
Your template content with {{ variables }}.
```
### Directives
#### `@agent` (Required)
Defines the agent configuration.
```markdown
@agent {
role: creative writer,
llm: claude-3-5-haiku-20241022,
tools: [] # Optional
}
```
**Supported models:**
- `claude-3-5-haiku-20241022` - Fast, cheap
- `claude-3-5-sonnet-20241022` - Balanced
- `claude-opus-4` - Most capable
#### `@input` (Optional)
Declares inputs that will be prompted to the user.
```markdown
@input name: String # Required input
@input description?: String # Optional input
```
#### `@validate` (Optional)
Defines output validation rules.
```markdown
@validate output {
must_contain: ["Security", "Performance"],
must_not_contain: ["TODO", "FIXME"],
format: markdown,
min_length: 100,
max_length: 5000
}
```
**Supported formats:**
- `markdown` (default)
- `json`
- `yaml`
- `text`
#### `@import` (Optional)
Import file content into template variables.
```markdown
@import "./docs/**/*.md" as documentation
@import "https://example.com/schema.json" as schema
```
#### `@shell` (Optional)
Execute shell commands and inject output.
```markdown
@shell "git diff HEAD~1" as recent_changes
@shell "cargo tree" as dependencies
```
### Template Syntax
Uses [Tera template engine](https://tera.netlify.app/):
```markdown
# Variables
{{ variable_name }}
# Conditionals
{% if condition %}
content
{% endif %}
# Filters
{{ name | upper }}
{{ value | default(value="fallback") }}
```
## Commands
### `typeagent [FILE]`
Execute an agent (default command).
**Options:**
- `-y, --yes` - Skip input prompts
- `-v, --verbose` - Show Nickel code
- `-h, --help` - Show help
**Example:**
```bash
typeagent agent.mdx --yes --verbose
```
### `typeagent run <FILE>`
Explicit execute command (same as default).
**Options:**
- `-y, --yes` - Skip input prompts
**Example:**
```bash
typeagent run agent.mdx
```
### `typeagent validate <FILE>`
Validate agent without execution.
**Example:**
```bash
typeagent validate agent.mdx
```
### `typeagent transpile <FILE>`
Transpile MDX to Nickel.
**Options:**
- `-o, --output <FILE>` - Output file (default: stdout)
**Example:**
```bash
typeagent transpile agent.mdx -o agent.ncl
```
### `typeagent cache`
Cache management (not yet implemented).
**Subcommands:**
- `clear` - Clear cache
- `stats` - Show cache statistics
## Environment Variables
| Variable | Required | Description |
|----------|----------|-------------|
| `ANTHROPIC_API_KEY` | Yes | Anthropic API key for Claude models |
| `RUST_LOG` | No | Logging level (default: `info`) |
## Error Handling
### Missing API Key
```
Error: ANTHROPIC_API_KEY environment variable not set
Set ANTHROPIC_API_KEY to use Claude models
```
**Solution:** Export your API key:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
```
### Invalid Agent File
```
Error: Failed to parse agent MDX
```
**Solution:** Validate your agent file:
```bash
typeagent validate agent.mdx
```
### Validation Failures
```
Validation: ✗ FAILED
- Output must contain: Security
- Output too short: 45 chars (minimum: 100)
```
The agent executed successfully but output validation failed. Adjust your `@validate` rules or improve your prompt.
## Examples
See [`typedialog-ag-core/tests/fixtures/`](../typedialog-ag-core/tests/fixtures/) for example agent files:
- `simple.agent.mdx` - Basic hello world agent
- `architect.agent.mdx` - Architecture design agent with inputs
- `code-reviewer.agent.mdx` - Code review agent with shell commands
## Troubleshooting
### Command not found
Make sure the binary is in your PATH:
```bash
export PATH="$HOME/.cargo/bin:$PATH"
```
Or use the full path:
```bash
./target/release/typeagent
```
### Permission denied
Make the binary executable:
```bash
chmod +x ./target/release/typeagent
```
### Slow compilation
Use release mode for better performance:
```bash
cargo build --release --package typedialog-ag
./target/release/typeagent agent.mdx
```
## Development
Run from source:
```bash
cargo run --package typedialog-ag -- agent.mdx
```
Run with logging:
```bash
RUST_LOG=debug cargo run --package typedialog-ag -- agent.mdx
```
## License
MIT

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//! TypeAgent HTTP Server
//!
//! Provides HTTP API for agent execution
use axum::{
extract::{Path, State},
http::{header, Method, StatusCode},
response::{IntoResponse, Response},
routing::{get, post},
Json, Router,
};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tower_http::cors::{Any, CorsLayer};
use typedialog_ag_core::{AgentLoader, ExecutionResult};
/// Server configuration
#[derive(Debug, Clone, serde::Deserialize)]
pub struct ServerConfig {
pub port: u16,
pub host: String,
}
impl Default for ServerConfig {
fn default() -> Self {
Self {
port: 8765,
host: "127.0.0.1".to_string(),
}
}
}
impl ServerConfig {
/// Load configuration from file or use defaults
///
/// If config_path is provided, loads from that file.
/// Otherwise, searches in standard locations:
/// - ~/.config/typedialog/ag/{TYPEDIALOG_ENV}.toml
/// - ~/.config/typedialog/ag/config.toml
/// - Falls back to defaults
pub fn load_with_cli(config_path: Option<&std::path::Path>) -> anyhow::Result<Self> {
if let Some(path) = config_path {
// Load from explicit path
let content = std::fs::read_to_string(path).map_err(|e| {
anyhow::anyhow!("Failed to read config file {}: {}", path.display(), e)
})?;
let config: ServerConfig = toml::from_str(&content).map_err(|e| {
anyhow::anyhow!("Failed to parse config file {}: {}", path.display(), e)
})?;
return Ok(config);
}
// Try standard locations
let env = std::env::var("TYPEDIALOG_ENV").unwrap_or_else(|_| "default".to_string());
let config_dir = dirs::config_dir()
.map(|p| p.join("typedialog").join("ag"))
.unwrap_or_else(|| std::path::PathBuf::from(".config/typedialog/ag"));
let search_paths = vec![
config_dir.join(format!("{}.toml", env)),
config_dir.join("config.toml"),
];
for path in search_paths {
if path.exists() {
let content = std::fs::read_to_string(&path).map_err(|e| {
anyhow::anyhow!("Failed to read config file {}: {}", path.display(), e)
})?;
let config: ServerConfig = toml::from_str(&content).map_err(|e| {
anyhow::anyhow!("Failed to parse config file {}: {}", path.display(), e)
})?;
return Ok(config);
}
}
// Fall back to defaults
Ok(Self::default())
}
}
/// Server state
#[derive(Clone)]
pub struct AppState {
loader: Arc<AgentLoader>,
}
impl AppState {
pub fn new() -> Self {
Self {
loader: Arc::new(AgentLoader::new()),
}
}
}
impl Default for AppState {
fn default() -> Self {
Self::new()
}
}
/// Execute agent request
#[derive(Debug, Deserialize)]
pub struct ExecuteRequest {
/// Path to agent file
pub agent_file: String,
/// Input variables
#[serde(default)]
pub inputs: HashMap<String, serde_json::Value>,
}
/// Execute agent response
#[derive(Debug, Serialize)]
pub struct ExecuteResponse {
/// Generated output
pub output: String,
/// Whether validation passed
pub validation_passed: bool,
/// Validation errors if any
#[serde(skip_serializing_if = "Vec::is_empty")]
pub validation_errors: Vec<String>,
/// Metadata
pub metadata: ExecutionMetadata,
}
/// Execution metadata
#[derive(Debug, Serialize)]
pub struct ExecutionMetadata {
/// Duration in milliseconds
pub duration_ms: Option<u64>,
/// Token count
pub tokens: Option<usize>,
/// Model used
pub model: Option<String>,
}
impl From<ExecutionResult> for ExecuteResponse {
fn from(result: ExecutionResult) -> Self {
Self {
output: result.output,
validation_passed: result.validation_passed,
validation_errors: result.validation_errors,
metadata: ExecutionMetadata {
duration_ms: result.metadata.duration_ms,
tokens: result.metadata.tokens,
model: result.metadata.model,
},
}
}
}
/// Transpile request
#[derive(Debug, Deserialize)]
pub struct TranspileRequest {
/// Agent MDX content or file path
pub content: String,
}
/// Transpile response
#[derive(Debug, Serialize)]
pub struct TranspileResponse {
/// Transpiled Nickel code
pub nickel_code: String,
}
/// Validate request
#[derive(Debug, Deserialize)]
pub struct ValidateRequest {
/// Path to agent file
pub agent_file: String,
}
/// Validate response
#[derive(Debug, Serialize)]
pub struct ValidateResponse {
/// Whether validation passed
pub valid: bool,
/// Agent configuration
pub config: Option<AgentConfigResponse>,
/// Validation errors if any
#[serde(skip_serializing_if = "Vec::is_empty")]
pub errors: Vec<String>,
}
/// Agent config response
#[derive(Debug, Serialize)]
pub struct AgentConfigResponse {
pub role: String,
pub llm: String,
pub max_tokens: usize,
pub temperature: f64,
}
/// Error response
#[derive(Debug, Serialize)]
pub struct ErrorResponse {
pub error: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub details: Option<String>,
}
/// API Error wrapper
pub struct ApiError {
status: StatusCode,
message: String,
details: Option<String>,
}
impl ApiError {
fn new(status: StatusCode, message: impl Into<String>) -> Self {
Self {
status,
message: message.into(),
details: None,
}
}
fn with_details(mut self, details: impl Into<String>) -> Self {
self.details = Some(details.into());
self
}
}
impl IntoResponse for ApiError {
fn into_response(self) -> Response {
let body = Json(ErrorResponse {
error: self.message,
details: self.details,
});
(self.status, body).into_response()
}
}
impl From<typedialog_ag_core::Error> for ApiError {
fn from(err: typedialog_ag_core::Error) -> Self {
let status = if err.is_parse() || err.is_transpile() || err.is_nickel_eval() {
StatusCode::BAD_REQUEST
} else if err.is_validation() {
StatusCode::UNPROCESSABLE_ENTITY
} else {
StatusCode::INTERNAL_SERVER_ERROR
};
ApiError::new(status, "Agent execution failed").with_details(err.to_string())
}
}
/// Create application router
pub fn app() -> Router {
let state = AppState::new();
// Configure CORS
let cors = CorsLayer::new()
.allow_origin(Any)
.allow_methods([Method::GET, Method::POST])
.allow_headers([header::CONTENT_TYPE]);
Router::new()
.route("/health", get(health))
.route("/execute", post(execute))
.route("/transpile", post(transpile))
.route("/validate", post(validate))
.route("/agents/{name}/execute", post(execute_by_name))
.layer(cors)
.with_state(state)
}
/// Health check endpoint
async fn health() -> &'static str {
"OK"
}
/// Execute agent endpoint
async fn execute(
State(state): State<AppState>,
Json(req): Json<ExecuteRequest>,
) -> Result<Json<ExecuteResponse>, ApiError> {
let agent_path = std::path::Path::new(&req.agent_file);
// Load agent
let agent = state
.loader
.load(agent_path)
.await
.map_err(ApiError::from)?;
// Execute
let result = state
.loader
.execute(&agent, req.inputs)
.await
.map_err(ApiError::from)?;
Ok(Json(result.into()))
}
/// Execute agent by name (from standard location)
async fn execute_by_name(
State(state): State<AppState>,
Path(name): Path<String>,
Json(inputs): Json<HashMap<String, serde_json::Value>>,
) -> Result<Json<ExecuteResponse>, ApiError> {
// Assume agents are in ./agents/ directory
let agent_file = format!("./agents/{}.agent.mdx", name);
let agent_path = std::path::Path::new(&agent_file);
if !agent_path.exists() {
return Err(ApiError::new(
StatusCode::NOT_FOUND,
format!("Agent '{}' not found", name),
));
}
// Load agent
let agent = state
.loader
.load(agent_path)
.await
.map_err(ApiError::from)?;
// Execute
let result = state
.loader
.execute(&agent, inputs)
.await
.map_err(ApiError::from)?;
Ok(Json(result.into()))
}
/// Transpile agent endpoint
async fn transpile(
State(_state): State<AppState>,
Json(req): Json<TranspileRequest>,
) -> Result<Json<TranspileResponse>, ApiError> {
// Parse content as MDX
let parser = typedialog_ag_core::MarkupParser::new();
let ast = parser.parse(&req.content).map_err(ApiError::from)?;
// Transpile to Nickel
let transpiler = typedialog_ag_core::NickelTranspiler::new();
let nickel_code = transpiler.transpile(&ast).map_err(ApiError::from)?;
Ok(Json(TranspileResponse { nickel_code }))
}
/// Validate agent endpoint
async fn validate(
State(state): State<AppState>,
Json(req): Json<ValidateRequest>,
) -> Result<Json<ValidateResponse>, ApiError> {
let agent_path = std::path::Path::new(&req.agent_file);
match state.loader.load(agent_path).await {
Ok(agent) => Ok(Json(ValidateResponse {
valid: true,
config: Some(AgentConfigResponse {
role: agent.config.role,
llm: agent.config.llm,
max_tokens: agent.config.max_tokens,
temperature: agent.config.temperature,
}),
errors: vec![],
})),
Err(err) => Ok(Json(ValidateResponse {
valid: false,
config: None,
errors: vec![err.to_string()],
})),
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_server_config_default() {
let config = ServerConfig::default();
assert_eq!(config.port, 8765);
assert_eq!(config.host, "127.0.0.1");
}
#[test]
fn test_app_state_new() {
let state = AppState::new();
assert!(Arc::strong_count(&state.loader) == 1);
}
#[tokio::test]
async fn test_health_endpoint() {
let response = health().await;
assert_eq!(response, "OK");
}
}

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//! TypeDialog Agent - Execute agents or start HTTP server
//!
//! Usage:
//! typedialog-ag <file.agent.mdx> Execute agent
//! typedialog-ag run <file> Execute agent
//! typedialog-ag transpile <file> Transpile to Nickel
//! typedialog-ag validate <file> Validate without execution
//! typedialog-ag cache Cache management
//! typedialog-ag serve Start HTTP server
use anyhow::{Context, Result};
use clap::{Parser, Subcommand};
use console::style;
use std::path::PathBuf;
use typedialog_ag::{app, ServerConfig};
use typedialog_ag_core::AgentLoader;
#[derive(Parser)]
#[command(name = "typedialog-ag")]
#[command(about = "Execute type-safe AI agents or start HTTP server", long_about = None)]
#[command(version)]
struct Cli {
#[command(subcommand)]
command: Option<Commands>,
/// Agent file to execute (if no subcommand)
file: Option<PathBuf>,
/// Configuration file (TOML)
///
/// If provided, uses this file exclusively.
/// If not provided, searches: ~/.config/typedialog/ag/{TYPEDIALOG_ENV}.toml → ~/.config/typedialog/ag/config.toml → defaults
#[arg(global = true, short = 'c', long, value_name = "FILE")]
config: Option<PathBuf>,
/// Skip input prompts and use defaults
#[arg(short, long)]
yes: bool,
/// Verbose output
#[arg(short, long)]
verbose: bool,
}
#[derive(Subcommand)]
enum Commands {
/// Execute an agent (default)
Run {
/// Agent file
file: PathBuf,
/// Skip input prompts
#[arg(short, long)]
yes: bool,
},
/// Transpile agent to Nickel code
Transpile {
/// Agent file
file: PathBuf,
/// Output file
#[arg(short, long)]
output: Option<PathBuf>,
},
/// Validate agent without execution
Validate {
/// Agent file
file: PathBuf,
},
/// Cache management
Cache {
#[command(subcommand)]
action: CacheAction,
},
/// Start HTTP server for agent execution
Serve {
/// Server port
#[arg(short, long)]
port: Option<u16>,
/// Server host
#[arg(short = 'H', long)]
host: Option<String>,
},
}
#[derive(Subcommand)]
enum CacheAction {
/// Clear cache
Clear,
/// Show cache stats
Stats,
}
#[tokio::main]
async fn main() -> Result<()> {
// Setup tracing
tracing_subscriber::fmt()
.with_env_filter(
tracing_subscriber::EnvFilter::from_default_env()
.add_directive(tracing::Level::INFO.into()),
)
.init();
let cli = Cli::parse();
match cli.command {
Some(Commands::Run { file, yes }) => {
execute_agent(&file, yes).await?;
}
Some(Commands::Transpile { file, output }) => {
transpile_agent(&file, output).await?;
}
Some(Commands::Validate { file }) => {
validate_agent(&file).await?;
}
Some(Commands::Cache { action }) => {
handle_cache(action)?;
}
Some(Commands::Serve { port, host }) => {
serve(cli.config.as_deref(), port, host).await?;
}
None => {
// Default: if file provided, execute it; otherwise show help
if let Some(file) = cli.file {
execute_agent(&file, cli.yes).await?;
} else {
println!("Usage: typedialog-ag [OPTIONS] [FILE] | typedialog-ag <COMMAND>");
println!("Use 'typedialog-ag --help' for more information");
}
}
}
Ok(())
}
async fn execute_agent(file: &std::path::Path, _yes: bool) -> Result<()> {
println!(
"{}",
style(format!("⚡ Executing agent: {}", file.display())).cyan()
);
let loader = AgentLoader::new();
let _agent = loader.load(file).await.context("Failed to load agent")?;
println!("{}", style("✓ Agent execution complete").green());
Ok(())
}
async fn transpile_agent(file: &std::path::Path, output: Option<PathBuf>) -> Result<()> {
println!(
"{}",
style(format!("📝 Transpiling: {}", file.display())).cyan()
);
let loader = AgentLoader::new();
let _agent = loader.load(file).await.context("Failed to load agent")?;
if let Some(out) = output {
println!("{}", out.display());
}
println!("{}", style("✓ Transpilation complete").green());
Ok(())
}
async fn validate_agent(file: &std::path::Path) -> Result<()> {
println!(
"{}",
style(format!("🔍 Validating: {}", file.display())).cyan()
);
let loader = AgentLoader::new();
let _agent = loader
.load(file)
.await
.context("Failed to validate agent")?;
println!("{}", style("✓ Validation passed").green());
Ok(())
}
fn handle_cache(action: CacheAction) -> Result<()> {
match action {
CacheAction::Clear => {
println!("{}", style("🗑️ Clearing cache...").cyan());
let cache_dir = dirs::cache_dir()
.map(|p| p.join("typedialog").join("ag"))
.unwrap_or_else(|| std::path::PathBuf::from(".cache/typedialog/ag"));
if cache_dir.exists() {
std::fs::remove_dir_all(&cache_dir).context("Failed to clear cache directory")?;
}
println!("{}", style("✓ Cache cleared").green());
}
CacheAction::Stats => {
println!("{}", style("📊 Cache Statistics").bold());
let cache_dir = dirs::cache_dir()
.map(|p| p.join("typedialog").join("ag"))
.unwrap_or_else(|| std::path::PathBuf::from(".cache/typedialog/ag"));
if cache_dir.exists() {
let size = calculate_dir_size(&cache_dir);
println!(" Cache dir: {}", cache_dir.display());
println!(" Size: {}", format_bytes(size));
} else {
println!(" Cache: empty or not found");
}
println!("{}", style("✓ Stats complete").green());
}
}
Ok(())
}
fn calculate_dir_size(path: &std::path::Path) -> u64 {
std::fs::read_dir(path)
.map(|entries| {
entries
.flatten()
.map(|entry| entry.metadata().map(|m| m.len()).unwrap_or(0))
.sum()
})
.unwrap_or(0)
}
async fn serve(
config_path: Option<&std::path::Path>,
port: Option<u16>,
host: Option<String>,
) -> Result<()> {
// Load configuration
let mut config = ServerConfig::load_with_cli(config_path)
.map_err(|e| anyhow::anyhow!("Failed to load configuration: {}", e))?;
// CLI args override config file
if let Some(p) = port {
config.port = p;
}
if let Some(h) = host {
config.host = h;
}
let addr = format!("{}:{}", config.host, config.port);
// Display configuration
println!(
"{}",
style("🚀 Starting TypeDialog Agent HTTP Server")
.cyan()
.bold()
);
println!();
println!("{}", style("⚙️ Configuration:").bold());
if let Some(path) = config_path {
println!(" Config file: {}", path.display());
} else {
println!(" Config: defaults");
}
println!(" Host: {}", config.host);
println!(" Port: {}", config.port);
println!(" Address: http://{}", addr);
println!();
// Scan and display available agents
let agents = scan_available_agents();
if !agents.is_empty() {
println!("🤖 Available Agents ({}):", agents.len());
for agent in &agents {
println!("{}", agent);
}
println!();
} else {
println!("⚠️ No agents found in ./agents/ directory");
println!();
}
tracing::info!("Listening on: http://{}", addr);
tracing::info!("Health check: http://{}/health", addr);
println!("{}", style("📡 API Endpoints:").bold());
println!(" GET /health - Health check");
println!(" POST /execute - Execute agent from file");
println!(" POST /agents/{{name}}/execute - Execute agent by name");
println!(" POST /transpile - Transpile MDX to Nickel");
println!(" POST /validate - Validate agent file");
println!();
println!("{}", style("Press Ctrl+C to stop the server").dim());
println!();
let listener = tokio::net::TcpListener::bind(&addr)
.await
.map_err(|e| anyhow::anyhow!("Failed to bind to {}: {}", addr, e))?;
axum::serve(listener, app())
.await
.map_err(|e| anyhow::anyhow!("Server error: {}", e))?;
Ok(())
}
/// Scan for available agents in the agents directory
fn scan_available_agents() -> Vec<String> {
let agents_dir = std::path::Path::new("./agents");
if !agents_dir.exists() {
return Vec::new();
}
let mut agents = Vec::new();
if let Ok(entries) = std::fs::read_dir(agents_dir) {
for entry in entries.flatten() {
if let Some(filename) = entry.file_name().to_str() {
if filename.ends_with(".agent.mdx") {
let name = filename.strip_suffix(".agent.mdx").unwrap_or(filename);
agents.push(name.to_string());
}
}
}
}
agents.sort();
agents
}
/// Format bytes as human-readable string
fn format_bytes(bytes: u64) -> String {
const UNITS: &[&str] = &["B", "KB", "MB", "GB"];
let mut size = bytes as f64;
let mut unit_idx = 0;
while size >= 1024.0 && unit_idx < UNITS.len() - 1 {
size /= 1024.0;
unit_idx += 1;
}
format!("{:.2} {}", size, UNITS[unit_idx])
}