<!-- Last verified: 2026-04-05 by Claude Code -->
# API Reference
## Top-Level Functions
### `agent_loop()`
```rust
pub async fn agent_loop(
prompts: Vec<AgentMessage>,
context: &mut AgentContext,
config: &AgentLoopConfig,
tx: mpsc::UnboundedSender<AgentEvent>,
cancel: CancellationToken,
) -> Vec<AgentMessage>
```
Start an agent loop with new prompt messages. Returns all messages generated during the run.
### `agent_loop_continue()`
```rust
pub async fn agent_loop_continue(
context: &mut AgentContext,
config: &AgentLoopConfig,
tx: mpsc::UnboundedSender<AgentEvent>,
cancel: CancellationToken,
) -> Vec<AgentMessage>
```
Resume from existing context. The last message must not be an assistant message.
### `default_tools()`
```rust
pub fn default_tools() -> Vec<Arc<dyn AgentTool>>
```
Returns: `BashTool`, `ReadFileTool`, `WriteFileTool`, `EditFileTool`, `ListFilesTool`, `SearchTool`.
## Agent Trait
The runtime interface for all agent implementations. Programs against this trait to remain independent of the specific implementation.
```rust
use phi_core::Agent; // trait must be in scope to call trait methods
```
Trait methods cover: prompting (`prompt`, `prompt_messages`, `prompt_with_sender`, `prompt_messages_with_sender`, `continue_loop`, `continue_loop_with_sender`), state access (`messages`, `is_streaming`, `agent_id`, `session_id`, `last_loop_id`), message mutation (`clear_messages`, `append_message`, `replace_messages`, `save_messages`, `restore_messages`, `set_tools`), control (`abort`, `reset`), and steering/follow-up queues (`steer`, `follow_up`, `clear_steering_queue`, `clear_follow_up_queue`, `clear_all_queues`, `set_steering_mode`, `set_follow_up_mode`).
The trait is object-safe: `Box<dyn Agent>` and `&mut dyn Agent` work for runtime polymorphism.
`phi_core::*` re-exports `Agent`, so `use phi_core::*` brings it into scope automatically.
## BasicAgent Struct
The default in-memory `Agent` implementation. Owns a single linear message history, tool registry, and model configuration.
### Construction
```rust
let api_key = std::env::var("ANTHROPIC_API_KEY").unwrap();
let agent = BasicAgent::new(ModelConfig::anthropic(
"claude-sonnet-4-20250514",
"Claude Sonnet 4",
&api_key,
));
```
| Signature | Description |
|-----------|-------------|
| `BasicAgent::new(model_config: ModelConfig) -> Self` | Create a new agent with the given model configuration |
### Builder Methods
All return `Self` for chaining (unless noted as `Result`).
**Core**
| Method | Description |
|--------|-------------|
| `with_system_prompt(prompt) -> Self` | Set the system prompt |
| `with_thinking(level: ThinkingLevel) -> Self` | Set thinking level (`Off`, `Minimal`, `Low`, `Medium`, `High`) |
| `with_max_tokens(max: u32) -> Self` | Set max output tokens |
| `with_model_config(config: ModelConfig) -> Self` | Replace the entire `ModelConfig` (id, api_key, base_url, compat, cost, etc.) |
| `with_provider_override(provider: Arc<dyn StreamProvider>) -> Self` | Bypass `ProviderRegistry` dispatch and use this provider directly (primarily for testing with `MockProvider`) |
**Tools & Integrations**
| Method | Description |
|--------|-------------|
| `with_tools(tools: Vec<Arc<dyn AgentTool>>) -> Self` | Set tools (replaces existing) |
| `with_sub_agent(sub: SubAgentTool) -> Self` | Add a sub-agent tool |
| `with_skills(skills: SkillSet) -> Self` | Load skills and append their index to the system prompt |
| `async with_mcp_server_stdio(command, args, env) -> Result<Self, McpError>` | Connect to MCP server via stdio and add its tools |
| `async with_mcp_server_http(url) -> Result<Self, McpError>` | Connect to MCP server via HTTP and add its tools |
| `async with_openapi_file(path, config, filter) -> Result<Self, OpenApiError>` | Load tools from an OpenAPI spec file *(requires `openapi` feature)* |
| `async with_openapi_url(url, config, filter) -> Result<Self, OpenApiError>` | Fetch spec from URL and add tools *(requires `openapi` feature)* |
| `with_openapi_spec(spec_str, config, filter) -> Result<Self, OpenApiError>` | Parse spec string and add tools *(requires `openapi` feature)* |
**Workspace & System Prompt**
| Method | Description |
|--------|-------------|
| `with_workspace(path: impl Into<PathBuf>) -> Self` | Set the agent's workspace directory |
**Context & Limits**
| Method | Description |
|--------|-------------|
| `with_context_config(config: ContextConfig) -> Self` | Set context compaction config |
| `with_execution_limits(limits: ExecutionLimits) -> Self` | Set execution limits (max turns, tokens, duration) |
| `with_compaction_strategy(strategy: impl CompactionStrategy) -> Self` | Set a custom compaction strategy |
| `without_context_management() -> Self` | Disable automatic context compaction and execution limits |
**Behavior**
| Method | Description |
|--------|-------------|
| `with_messages(msgs: Vec<AgentMessage>) -> Self` | Pre-load message history |
| `with_cache_config(config: CacheConfig) -> Self` | Set prompt caching configuration |
| `with_tool_execution(strategy: ToolExecutionStrategy) -> Self` | Set tool execution strategy (`Parallel`, `Sequential`, `Batched`) |
| `with_retry_config(config: RetryConfig) -> Self` | Set retry configuration |
| `with_input_filter(filter: impl InputFilter) -> Self` | Add an input filter (runs on user messages before LLM call) |
**Callbacks**
| Method | Description |
|--------|-------------|
| `on_before_loop(f: Fn(&[AgentMessage], u64) -> bool) -> Self` | Called once before `AgentStart`; return `false` to abort the entire run |
| `on_after_loop(f: Fn(&[AgentMessage], &Usage)) -> Self` | Called once after `AgentEnd` with all new messages and accumulated usage |
| `on_before_turn(f: Fn(&[AgentMessage], usize) -> bool) -> Self` | Called before each LLM call; return `false` to abort |
| `on_after_turn(f: Fn(&[AgentMessage], &Usage)) -> Self` | Called after each LLM response and tool execution |
| `on_error(f: Fn(&str)) -> Self` | Called when the LLM returns `StopReason::Error` |
| `on_before_tool_execution(f: Fn(&str, &str, &Value) -> bool) -> Self` | Called before each tool call `(name, call_id, args)`; return `false` to skip |
| `on_after_tool_execution(f: Fn(&str, &str, bool)) -> Self` | Called after each tool call `(name, call_id, is_error)` |
| `on_before_tool_execution_update(f: Fn(&str, &str, &str) -> bool) -> Self` | Called before each streaming tool update `(name, call_id, text)`; return `false` to suppress the event |
| `on_after_tool_execution_update(f: Fn(&str, &str, &str)) -> Self` | Called after each streaming tool update `(name, call_id, text)` |
| `on_before_compaction_start(f: Fn(usize, usize) -> bool) -> Self` | Called before compaction begins `(estimated_tokens, message_count)`; return `false` to skip compaction |
| `on_after_compaction_end(f: Fn(usize, usize, usize, usize)) -> Self` | Called after compaction completes `(messages_before, messages_after, tokens_before, tokens_after)` |
### Prompting
| Method | Description |
|--------|-------------|
| `async prompt(text) -> UnboundedReceiver<AgentEvent>` | Send a text prompt, returns event stream |
| `async prompt_messages(messages) -> UnboundedReceiver<AgentEvent>` | Send messages as prompt |
| `async prompt_with_sender(text, tx: UnboundedSender<AgentEvent>)` | Send a text prompt, streaming events to a caller-provided sender for real-time consumption |
| `async prompt_messages_with_sender(messages, tx)` | Send messages, streaming events to a caller-provided sender |
| `async continue_loop() -> UnboundedReceiver<AgentEvent>` | Resume from current context with `ContinuationKind::Default`. `continuation_kind` on `AgentStart` is `ContinuationKind` (not `Option`). |
| `async continue_loop_with_sender(tx: UnboundedSender<AgentEvent>, kind: ContinuationKind)` | Resume from current context with an explicit continuation kind, streaming events to a caller-provided sender |
### State Access
| Method | Description |
|--------|-------------|
| `messages() -> &[AgentMessage]` | Get the full message history |
| `is_streaming() -> bool` | Whether the agent is currently running |
| `agent_id() -> &str` | Stable UUID assigned at construction; included in every `AgentStart` event |
| `session_id() -> &str` | Stable UUID assigned at construction; groups all loops from this `Agent` instance |
| `last_loop_id() -> Option<&str>` | The `loop_id` of the most recently started loop; `None` before first run |
| `workspace() -> Option<&Path>` | The agent's workspace directory, if set (Agent trait method) |
### State Mutation
| Method | Description |
|--------|-------------|
| `set_tools(tools: Vec<Arc<dyn AgentTool>>)` | Replace the tool set |
| `clear_messages()` | Clear all messages |
| `append_message(msg: AgentMessage)` | Add a message to history |
| `replace_messages(msgs: Vec<AgentMessage>)` | Replace all messages |
| `save_messages() -> Result<String, serde_json::Error>` | Serialize message history to JSON |
| `restore_messages(json: &str) -> Result<(), serde_json::Error>` | Restore message history from JSON |
### Steering & Follow-Up Queues
| Method | Description |
|--------|-------------|
| `steer(msg: AgentMessage)` | Queue a steering message (interrupts mid-tool-execution) |
| `follow_up(msg: AgentMessage)` | Queue a follow-up message (processed after agent finishes) |
| `clear_steering_queue()` | Clear pending steering messages |
| `clear_follow_up_queue()` | Clear pending follow-up messages |
| `clear_all_queues()` | Clear both queues |
| `set_steering_mode(mode: QueueMode)` | Set delivery mode: `OneAtATime` or `All` |
| `set_follow_up_mode(mode: QueueMode)` | Set delivery mode: `OneAtATime` or `All` |
### Control
| Method | Description |
|--------|-------------|
| `abort()` | Cancel the current run via `CancellationToken` |
| `reset()` | Clear all state (messages, queues, streaming flag) |
## Session Callback Types
| Type | Signature | Description |
|------|-----------|-------------|
| `BeforeTaskFn` | `Arc<dyn Fn(&Session) -> bool + Send + Sync>` | Called on first `AgentStart` with a new `session_id`. Parameter is the `Session`. Return `false` to reject. |
| `AfterTaskFn` | `Arc<dyn Fn(&Session) + Send + Sync>` | Called in `flush()` when the session is finalized. Parameter is the completed `Session`. |
These are set on `SessionRecorderConfig` and fire at the session level (not per-loop). See [Sessions](../concepts/sessions.md#session-lifecycle-callbacks) for usage.
## Re-exports
The crate re-exports key types from `lib.rs`:
```rust
// Agent system
pub use agents::{Agent, AgentProfile, BasicAgent, QueueMode};
pub use agents::SubAgentTool;
// Agent loop
pub use agent_loop::{agent_loop, agent_loop_continue, agent_loop_parallel};
pub use agent_loop::evaluation::{
ElaborateEvaluation, LlmJudgeEvaluation, PickFirstEvaluation,
TokenEfficientEvaluation, TransparentEvaluation,
};
// Config-driven construction
pub use config::{
agent_from_config, agent_from_config_with_registry, agents_from_config,
parse_config, parse_config_file, AgentConfig, ConfigError, ConfigFormat,
};
// Context management
pub use context::{
CompactionStrategy, CompactionConfig, CompactionScope, ContextConfig,
DefaultCompaction, DefaultBlockCompaction, BlockCompactionStrategy,
ContextTracker, CompactionBlock, CompactedSection, TurnMap, TurnRange,
build_context_from_session, compact_session_loops,
};
pub use context::skills::SkillSet;
// Session persistence
pub use session::{
Session, SessionRecorder, SessionRecorderConfig, SessionScope, SessionError,
LoopRecord, LoopEvent, LoopStatus, Turn, LoopConfigSnapshot,
ParallelGroupRecord, ChildLoopRef, SpawnRef, SessionFormation,
save_session, load_session, list_session_ids, delete_session, load_sessions_for_agent,
};
// Provider
pub use provider::retry::RetryConfig;
// Types (glob re-export)
pub use types::*; // Message, Content, AgentMessage, AgentEvent, Usage, LlmMessage,
// StopReason, StreamDelta, TurnTrigger, ThinkingLevel, CacheConfig, etc.
```