spec-ai 0.6.12

//! Agent Builder
//!
//! Provides a fluent API for constructing agent instances.

use crate::spec_ai_core::agent::core::AgentCore;
use crate::spec_ai_core::agent::factory::{create_provider, resolve_api_key};
use crate::spec_ai_core::agent::model::ModelProvider;
#[cfg(any(feature = "openai", feature = "mlx", feature = "lmstudio"))]
use crate::spec_ai_core::agent::model::ProviderKind;
#[cfg(feature = "openai")]
use crate::spec_ai_core::agent::providers::openai::OpenAIProvider;
#[cfg(feature = "lmstudio")]
use crate::spec_ai_core::agent::providers::LMStudioProvider;
#[cfg(feature = "mlx")]
use crate::spec_ai_core::agent::providers::MLXProvider;
use crate::spec_ai_core::config::{AgentProfile, AgentRegistry, AppConfig, ModelConfig};
use crate::spec_ai_core::embeddings::EmbeddingsClient;
use crate::spec_ai_core::persistence::Persistence;
use crate::spec_ai_core::policy::PolicyEngine;
use crate::spec_ai_core::tools::ToolRegistry;
use anyhow::{anyhow, Context, Result};
#[cfg(any(feature = "mlx", feature = "lmstudio"))]
use async_openai::config::OpenAIConfig;
use std::sync::Arc;
use tracing::{info, warn};

/// Builder for constructing AgentCore instances
pub struct AgentBuilder {
    profile: Option<AgentProfile>,
    provider: Option<Arc<dyn ModelProvider>>,
    embeddings_client: Option<EmbeddingsClient>,
    persistence: Option<Persistence>,
    session_id: Option<String>,
    config: Option<AppConfig>,
    tool_registry: Option<Arc<ToolRegistry>>,
    policy_engine: Option<Arc<PolicyEngine>>,
    agent_name: Option<String>,
    speak_responses: bool,
}

impl AgentBuilder {
    /// Create a new agent builder
    pub fn new() -> Self {
        Self {
            profile: None,
            provider: None,
            embeddings_client: None,
            persistence: None,
            session_id: None,
            config: None,
            tool_registry: None,
            policy_engine: None,
            agent_name: None,
            speak_responses: false,
        }
    }

    /// Create an agent from the registry with the active profile
    /// This is a convenience method for CLI use
    pub fn new_with_registry(
        registry: &AgentRegistry,
        config: &AppConfig,
        session_id: Option<String>,
    ) -> Result<AgentCore> {
        create_agent_from_registry(registry, config, session_id)
    }

    /// Set the agent profile
    pub fn with_profile(mut self, profile: AgentProfile) -> Self {
        self.profile = Some(profile);
        self
    }

    /// Set the model provider
    pub fn with_provider(mut self, provider: Arc<dyn ModelProvider>) -> Self {
        self.provider = Some(provider);
        self
    }

    /// Set a custom embeddings client
    pub fn with_embeddings_client(mut self, embeddings_client: EmbeddingsClient) -> Self {
        self.embeddings_client = Some(embeddings_client);
        self
    }

    /// Set the persistence layer
    pub fn with_persistence(mut self, persistence: Persistence) -> Self {
        self.persistence = Some(persistence);
        self
    }

    /// Set the session ID
    pub fn with_session_id(mut self, session_id: impl Into<String>) -> Self {
        self.session_id = Some(session_id.into());
        self
    }

    /// Set the application configuration (used to derive defaults)
    pub fn with_config(mut self, config: AppConfig) -> Self {
        self.config = Some(config);
        self
    }

    /// Set the tool registry
    pub fn with_tool_registry(mut self, tool_registry: Arc<ToolRegistry>) -> Self {
        self.tool_registry = Some(tool_registry);
        self
    }

    /// Set the policy engine
    pub fn with_policy_engine(mut self, policy_engine: Arc<PolicyEngine>) -> Self {
        self.policy_engine = Some(policy_engine);
        self
    }

    /// Set the logical agent name (used for telemetry/logging)
    pub fn with_agent_name(mut self, agent_name: impl Into<String>) -> Self {
        self.agent_name = Some(agent_name.into());
        self
    }

    /// Enable speech-friendly responses (macOS `say`)
    pub fn with_speak_responses(mut self, enabled: bool) -> Self {
        self.speak_responses = enabled;
        self
    }

    /// Build the agent, validating all required fields
    pub fn build(self) -> Result<AgentCore> {
        // Get profile (required)
        let profile = self
            .profile
            .as_ref()
            .cloned()
            .ok_or_else(|| anyhow!("Agent profile is required"))?;

        // Precompute session and speech settings before moving fields
        let session_id = self
            .session_id
            .clone()
            .unwrap_or_else(|| format!("session-{}", chrono::Utc::now().timestamp_millis()));
        let speak_preference = self.resolve_speech_preference();
        let agent_name = self.agent_name.clone();

        // Get or create persistence (needed for tool registry)
        let persistence = if let Some(persistence) = self.persistence {
            persistence
        } else if let Some(ref config) = self.config {
            Persistence::new(&config.database.path).context("Failed to create persistence layer")?
        } else {
            return Err(anyhow!(
                "Either persistence or config must be provided to build agent"
            ));
        };

        // Get or create embeddings client
        let embeddings_client = if let Some(client) = self.embeddings_client {
            Some(client)
        } else if let Some(ref config) = self.config {
            create_embeddings_client_from_config(config)?
        } else {
            None
        };

        // Optional dedicated code model provider (exposed via the generate_code tool)
        let code_model_provider = if let Some(ref config) = self.config {
            if let Some(code_model_name) = &config.model.code_model {
                let mut code_config = config.model.clone();
                code_config.model_name = Some(code_model_name.clone());
                code_config.code_model = None;

                match create_provider(&code_config) {
                    Ok(provider) => Some(provider),
                    Err(err) => {
                        warn!(
                            "Failed to create code model provider {}:{} - {}",
                            code_config.provider, code_model_name, err
                        );
                        None
                    }
                }
            } else {
                None
            }
        } else {
            None
        };

        // Get or create tool registry (defaults to built-in tools)
        // Create this before the provider so OpenAI can be configured with tools
        let tool_registry = if let Some(registry) = self.tool_registry {
            registry
        } else {
            let persistence_arc = Arc::new(persistence.clone());
            let mut registry = ToolRegistry::with_builtin_tools(
                Some(persistence_arc),
                embeddings_client.clone(),
                code_model_provider.clone(),
            );
            info!(
                "Created tool registry with {} builtin tools",
                registry.len()
            );
            for tool_name in registry.list() {
                tracing::debug!("  - Registered tool: {}", tool_name);
            }

            // Load plugins if enabled
            if let Some(ref config) = self.config {
                if config.plugins.enabled {
                    match registry.load_plugins(
                        &config.plugins.custom_tools_dir,
                        config.plugins.allow_override_builtin,
                    ) {
                        Ok(stats) => {
                            if stats.loaded > 0 {
                                info!(
                                    "Loaded {} plugins with {} tools from {}",
                                    stats.loaded,
                                    stats.tools_loaded,
                                    config.plugins.custom_tools_dir.display()
                                );
                            }
                            if stats.failed > 0 {
                                warn!("{} plugins failed to load", stats.failed);
                            }
                        }
                        Err(e) => {
                            if config.plugins.continue_on_error {
                                warn!("Plugin loading failed (continuing): {}", e);
                            } else {
                                // Re-wrap as anyhow error to propagate
                                return Err(anyhow::anyhow!("Plugin loading failed: {}", e));
                            }
                        }
                    }
                }
            }

            Arc::new(registry)
        };

        // Get or create provider with tools configured (for OpenAI-compatible providers)
        let provider = if let Some(provider) = self.provider {
            provider
        } else if let Some(ref config) = self.config {
            #[allow(unused_mut)]
            let mut base_provider =
                create_provider(&config.model).context("Failed to create provider from config")?;

            // Configure OpenAI provider with tools for native function calling
            #[cfg(feature = "openai")]
            {
                if base_provider.kind() == ProviderKind::OpenAI {
                    let tools = tool_registry.to_openai_tools();
                    if !tools.is_empty() {
                        info!(
                            "Configuring OpenAI provider with {} tools for native function calling",
                            tools.len()
                        );

                        // Recreate OpenAI provider with tools
                        let api_key = if let Some(source) = &config.model.api_key_source {
                            resolve_api_key(source)?
                        } else {
                            // Default to OPENAI_API_KEY environment variable
                            std::env::var("OPENAI_API_KEY")
                                .context("OPENAI_API_KEY environment variable not set")?
                        };

                        let mut openai_provider = OpenAIProvider::with_api_key(api_key);

                        // Set model if specified in config
                        if let Some(model_name) = &config.model.model_name {
                            openai_provider = openai_provider.with_model(model_name.clone());
                        }

                        // Configure with tools and cast to trait object
                        base_provider = Arc::new(openai_provider.with_tools(tools));
                    }
                }
            }

            // Configure MLX provider with tools for native function calling (OpenAI-compatible API)
            #[cfg(feature = "mlx")]
            {
                if base_provider.kind() == ProviderKind::MLX {
                    let tools = tool_registry.to_openai_tools();
                    if !tools.is_empty() {
                        info!(
                            "Configuring MLX provider with {} tools for native function calling",
                            tools.len()
                        );

                        // MLX requires a model name; mirror create_provider's behavior
                        let model_name = config
                            .model
                            .model_name
                            .as_ref()
                            .ok_or_else(|| {
                                anyhow!("MLX provider requires a model_name to be specified")
                            })?
                            .clone();

                        let mlx_provider = if let Ok(endpoint) = std::env::var("MLX_ENDPOINT") {
                            MLXProvider::with_endpoint(endpoint, model_name)
                        } else {
                            MLXProvider::new(model_name)
                        };

                        base_provider = Arc::new(mlx_provider.with_tools(tools));
                    }
                }
            }

            #[cfg(feature = "lmstudio")]
            {
                if base_provider.kind() == ProviderKind::LMStudio {
                    let tools = tool_registry.to_openai_tools();
                    if !tools.is_empty() {
                        info!(
                            "Configuring LM Studio provider with {} tools for native function calling",
                            tools.len()
                        );

                        let model_name = config
                            .model
                            .model_name
                            .as_ref()
                            .ok_or_else(|| {
                                anyhow!("LM Studio provider requires a model_name to be specified")
                            })?
                            .clone();

                        let lmstudio_provider =
                            if let Ok(endpoint) = std::env::var("LMSTUDIO_ENDPOINT") {
                                LMStudioProvider::with_endpoint(endpoint, model_name)
                            } else {
                                LMStudioProvider::new(model_name)
                            };

                        base_provider = Arc::new(lmstudio_provider.with_tools(tools));
                    }
                }
            }

            base_provider
        } else {
            return Err(anyhow!(
                "Either provider or config must be provided to build agent"
            ));
        };

        // Get or create policy engine (defaults to empty policy engine, or load from persistence)
        let policy_engine = if let Some(engine) = self.policy_engine {
            engine
        } else {
            // Try to load from persistence, or create empty engine with default allow rule
            let mut engine = PolicyEngine::load_from_persistence(&persistence)
                .unwrap_or_else(|_| PolicyEngine::new());

            // If the policy engine has no rules at all, add a default allow-all for tools
            if engine.rule_count() == 0 {
                tracing::debug!(
                    "Empty policy engine detected, adding default allow-all rule for tools"
                );
                engine.add_rule(crate::spec_ai_core::policy::PolicyRule {
                    agent: "*".to_string(),
                    action: "tool_call".to_string(),
                    resource: "*".to_string(),
                    effect: crate::spec_ai_core::policy::PolicyEffect::Allow,
                });
            }

            Arc::new(engine)
        };

        let fast_provider = if profile.fast_reasoning {
            match (&profile.fast_model_provider, &profile.fast_model_name) {
                (Some(provider_name), Some(model_name)) => {
                    let fast_config = ModelConfig {
                        provider: provider_name.clone(),
                        model_name: Some(model_name.clone()),
                        code_model: None,
                        embeddings_model: None,
                        api_key_source: None,
                        temperature: profile.fast_model_temperature,
                    };
                    match create_provider(&fast_config) {
                        Ok(provider) => Some(provider),
                        Err(err) => {
                            warn!(
                                "Failed to create fast provider {}:{} - {}",
                                provider_name, model_name, err
                            );
                            None
                        }
                    }
                }
                _ => None,
            }
        } else {
            None
        };

        let mut agent = AgentCore::new(
            profile,
            provider,
            embeddings_client,
            persistence,
            session_id,
            agent_name,
            tool_registry,
            policy_engine,
            speak_preference,
        );

        if let Some(fast_provider) = fast_provider {
            agent = agent.with_fast_provider(fast_provider);
        }

        Ok(agent)
    }

    fn resolve_speech_preference(&self) -> bool {
        let config_pref = self
            .config
            .as_ref()
            .map(|c| c.audio.speak_responses)
            .unwrap_or(false);
        let requested = self.speak_responses || config_pref;

        #[cfg(target_os = "macos")]
        {
            requested
        }

        #[cfg(not(target_os = "macos"))]
        {
            let _ = requested; // silence unused warning when speech is unavailable
            false
        }
    }
}

impl Default for AgentBuilder {
    fn default() -> Self {
        Self::new()
    }
}

/// Create an agent from the active profile in the registry
pub fn create_agent_from_registry(
    registry: &AgentRegistry,
    config: &AppConfig,
    session_id: Option<String>,
) -> Result<AgentCore> {
    let (agent_name, profile) = registry
        .active()
        .context("No active agent profile in registry")?
        .ok_or_else(|| anyhow!("No active agent set in registry"))?;

    let mut builder = AgentBuilder::new()
        .with_profile(profile)
        .with_config(config.clone())
        .with_persistence(registry.persistence().clone())
        .with_agent_name(agent_name.clone());

    if let Some(sid) = session_id {
        builder = builder.with_session_id(sid);
    }

    builder.build()
}

fn create_embeddings_client_from_config(config: &AppConfig) -> Result<Option<EmbeddingsClient>> {
    let model = &config.model;
    let Some(model_name) = &model.embeddings_model else {
        return Ok(None);
    };

    #[cfg(feature = "mlx")]
    {
        if ProviderKind::from_str(&model.provider) == Some(ProviderKind::MLX) {
            return Ok(Some(build_mlx_embeddings_client(model_name)));
        }
    }

    #[cfg(feature = "lmstudio")]
    {
        if ProviderKind::from_str(&model.provider) == Some(ProviderKind::LMStudio) {
            return Ok(Some(build_lmstudio_embeddings_client(model_name)));
        }
    }

    let client = if let Some(source) = &model.api_key_source {
        let api_key = resolve_api_key(source)?;
        EmbeddingsClient::with_api_key(model_name.clone(), api_key)
    } else {
        EmbeddingsClient::new(model_name.clone())
    };

    Ok(Some(client))
}

#[cfg(feature = "mlx")]
fn build_mlx_embeddings_client(model_name: &str) -> EmbeddingsClient {
    let endpoint =
        std::env::var("MLX_ENDPOINT").unwrap_or_else(|_| "http://localhost:10240".to_string());
    let api_base = if endpoint.ends_with("/v1") {
        endpoint
    } else {
        format!("{}/v1", endpoint)
    };

    let config = OpenAIConfig::new()
        .with_api_base(api_base)
        .with_api_key("mlx-key");

    EmbeddingsClient::with_config(model_name.to_string(), config)
}

#[cfg(feature = "lmstudio")]
fn build_lmstudio_embeddings_client(model_name: &str) -> EmbeddingsClient {
    let endpoint =
        std::env::var("LMSTUDIO_ENDPOINT").unwrap_or_else(|_| "http://localhost:1234".to_string());
    let api_base = if endpoint.ends_with("/v1") {
        endpoint
    } else {
        format!("{}/v1", endpoint)
    };

    let config = OpenAIConfig::new()
        .with_api_base(api_base)
        .with_api_key("lmstudio-key");

    EmbeddingsClient::with_config(model_name.to_string(), config)
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::spec_ai_core::agent::providers::MockProvider;
    use crate::spec_ai_core::config::{
        AgentProfile, AudioConfig, AuthConfig, DatabaseConfig, LoggingConfig, ModelConfig,
        PluginConfig, SyncConfig, UiConfig,
    };
    use std::collections::HashMap;
    use tempfile::tempdir;

    fn create_test_config() -> AppConfig {
        let dir = tempdir().unwrap();
        let db_path = dir.path().join("test.duckdb");

        AppConfig {
            database: DatabaseConfig { path: db_path },
            model: ModelConfig {
                provider: "mock".to_string(),
                model_name: Some("test-model".to_string()),
                code_model: None,
                embeddings_model: None,
                api_key_source: None,
                temperature: 0.7,
            },
            ui: UiConfig {
                prompt: "> ".to_string(),
                theme: "default".to_string(),
            },
            logging: LoggingConfig {
                level: "info".to_string(),
            },
            audio: AudioConfig::default(),
            mesh: crate::spec_ai_core::config::MeshConfig::default(),
            plugins: PluginConfig::default(),
            sync: SyncConfig::default(),
            auth: AuthConfig::default(),
            agents: HashMap::new(),
            default_agent: None,
        }
    }

    fn create_test_profile() -> AgentProfile {
        AgentProfile {
            prompt: Some("Test system prompt".to_string()),
            style: None,
            temperature: Some(0.8),
            model_provider: None,
            model_name: None,
            allowed_tools: None,
            denied_tools: None,
            memory_k: 10,
            top_p: 0.95,
            max_context_tokens: Some(4096),
            enable_graph: false,
            graph_memory: false,
            auto_graph: false,
            graph_steering: false,
            graph_depth: 3,
            graph_weight: 0.5,
            graph_threshold: 0.7,
            fast_reasoning: false,
            fast_model_provider: None,
            fast_model_name: None,
            fast_model_temperature: 0.3,
            fast_model_tasks: vec![],
            escalation_threshold: 0.6,
            show_reasoning: false,
            enable_audio_transcription: false,
            audio_response_mode: "immediate".to_string(),
            audio_scenario: None,
            ..Default::default()
        }
    }

    #[test]
    fn test_builder_with_all_fields() {
        let dir = tempdir().unwrap();
        let db_path = dir.path().join("test.duckdb");
        let persistence = Persistence::new(&db_path).unwrap();

        let profile = create_test_profile();
        let provider = Arc::new(MockProvider::default());

        let agent = AgentBuilder::new()
            .with_profile(profile)
            .with_provider(provider)
            .with_persistence(persistence)
            .with_session_id("test-session")
            .build()
            .unwrap();

        assert_eq!(agent.session_id(), "test-session");
        assert_eq!(
            agent.profile().prompt,
            Some("Test system prompt".to_string())
        );
    }

    #[test]
    fn test_builder_with_config() {
        let config = create_test_config();
        let profile = create_test_profile();

        let agent = AgentBuilder::new()
            .with_profile(profile)
            .with_config(config)
            .build()
            .unwrap();

        // Should auto-generate session ID with timestamp
        assert!(agent.session_id().starts_with("session-"));
    }

    #[test]
    fn test_builder_missing_profile() {
        let config = create_test_config();

        let result = AgentBuilder::new().with_config(config).build();

        assert!(result.is_err());
        assert!(result.err().unwrap().to_string().contains("profile"));
    }

    #[test]
    fn test_builder_missing_provider_and_config() {
        let dir = tempdir().unwrap();
        let db_path = dir.path().join("test.duckdb");
        let persistence = Persistence::new(&db_path).unwrap();

        let profile = create_test_profile();

        let result = AgentBuilder::new()
            .with_profile(profile)
            .with_persistence(persistence)
            .build();

        assert!(result.is_err());
        assert!(result
            .err()
            .unwrap()
            .to_string()
            .contains("provider or config"));
    }

    #[test]
    fn test_builder_auto_session_id() {
        let config = create_test_config();
        let profile = create_test_profile();

        let agent = AgentBuilder::new()
            .with_profile(profile)
            .with_config(config)
            .build()
            .unwrap();

        // Should auto-generate session ID with timestamp
        assert!(!agent.session_id().is_empty());
    }

    #[test]
    fn test_create_agent_from_registry() {
        let dir = tempdir().unwrap();
        let db_path = dir.path().join("test.duckdb");
        let persistence = Persistence::new(&db_path).unwrap();

        let config = create_test_config();
        let profile = create_test_profile();

        let mut agents = HashMap::new();
        agents.insert("test-agent".to_string(), profile.clone());

        let registry = AgentRegistry::new(agents, persistence.clone());
        registry.set_active("test-agent").unwrap();

        let agent =
            create_agent_from_registry(&registry, &config, Some("custom-session".to_string()))
                .unwrap();

        assert_eq!(agent.session_id(), "custom-session");
        assert_eq!(
            agent.profile().prompt,
            Some("Test system prompt".to_string())
        );
    }

    #[test]
    fn test_create_agent_from_registry_no_active() {
        let dir = tempdir().unwrap();
        let db_path = dir.path().join("test.duckdb");
        let persistence = Persistence::new(&db_path).unwrap();

        let config = create_test_config();
        let registry = AgentRegistry::new(HashMap::new(), persistence);

        let result = create_agent_from_registry(&registry, &config, None);

        assert!(result.is_err());
        let err_msg = result.err().unwrap().to_string();
        assert!(err_msg.contains("No active") || err_msg.contains("active agent"));
    }
}