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fork of Kludex/zigai, ported to zig 0.17
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The provider-neutral agent loop and its owned buffered and typed results.
const std = @import("std");const model_types = @import("model.zig");const output_types = @import("output.zig");const tool_policy = @import("tool.zig");const capability_types = @import("capability.zig");const json_schema = @import("json_schema.zig");const reflect = @import("reflect.zig");const history = @import("history.zig");const context_budget = @import("context_budget.zig");const telemetry_types = @import("telemetry.zig");const json_limits = @import("json.zig");const transport = @import("transport.zig");const security = @import("security.zig");const usage_types = @import("usage.zig");const pricing_types = @import("pricing.zig");
const Message = model_types.Message;const PromptPart = model_types.PromptPart;const RequestPart = model_types.RequestPart;const ResponsePart = model_types.ResponsePart;const Part = ResponsePart;
const AgentError = error{ /// The run's cooperative cancellation token was signalled. Cancelled, /// The provider reported that content filtering ended generation. ContentFiltered, /// Provider-facing media exceeds `ContextBudget.max_media_bytes`. ContextMediaTooLarge, /// Provider-facing prompt text exceeds `ContextBudget.max_prompt_bytes`. ContextPromptTooLarge, /// Provider-facing schemas exceed `ContextBudget.max_schema_bytes`. ContextSchemaTooLarge, /// Aggregate context measurement overflowed `u64`. ContextSizeOverflow, /// Estimated input exceeds the effective token capacity. ContextTokenLimitExceeded, /// Provider-facing tools exceed `ContextBudget.max_tool_bytes`. ContextToolsTooLarge, /// Two locally available tools have the same provider-visible name. DuplicateToolName, /// Two provider-managed tools have the same provider-visible identity. DuplicateBuiltinTool, /// Two named capabilities in the composed scopes have the same ID. DuplicateCapabilityId, /// A capability ID or metadata declaration is malformed. InvalidCapability, /// A capability dependency names no capability in the composed scopes. MissingCapabilityDependency, /// Capability dependencies contain a cycle. CapabilityDependencyCycle, /// Two capabilities that cannot coexist would both be active. CapabilityConflict, /// A successful model response contained no usable parts. EmptyModelResponse, /// Generation ended with an unfinished provider tool call. IncompleteToolCall, /// Reported cumulative input usage exceeded its run limit. InputTokenLimitExceeded, /// Typed output could not be decoded after validation. InvalidTypedOutput, /// The output specification has invalid names, schemas, or prompt templates. InvalidOutputSpec, /// A model setting is malformed or outside its provider-neutral range. InvalidModelSettings, /// Structured output could not be decoded for its final stream snapshot. InvalidStructuredOutput, /// The run attempted more model requests than allowed. MaxModelRequestsExceeded, /// The run attempted more local tool calls than allowed. MaxToolCallsExceeded, /// The selected model profile does not accept audio content. ModelDoesNotSupportAudio, /// The selected model profile does not accept generic binary content. ModelDoesNotSupportBinaryContent, /// The selected model profile does not accept documents. ModelDoesNotSupportDocuments, /// The selected model profile does not accept images. ModelDoesNotSupportImages, /// The selected model profile does not accept video content. ModelDoesNotSupportVideo, /// The selected model profile cannot encode system messages or instructions. ModelDoesNotSupportSystemMessages, /// The selected model profile cannot preserve thinking content. ModelDoesNotSupportThinking, /// Local tools were supplied to a model profile without tool support. ModelDoesNotSupportTools, /// The selected model profile does not support native web fetch. ModelDoesNotSupportWebFetch, /// The selected model profile does not support native web search. ModelDoesNotSupportWebSearch, /// The selected model profile does not support native X search. ModelDoesNotSupportXSearch, /// The selected model profile does not support provider-managed code execution. ModelDoesNotSupportCodeExecution, /// The selected model profile does not support provider-managed file search. ModelDoesNotSupportFileSearch, /// The selected model profile does not support provider-managed remote MCP. ModelDoesNotSupportRemoteMcp, /// JSON-object output was requested from an unsupported model profile. ModelDoesNotSupportJsonObjectOutput, /// JSON Schema output was requested from an unsupported model profile. ModelDoesNotSupportJsonSchemaOutput, /// Prompted structured output requires model instructions. ModelDoesNotSupportPromptedOutput, /// Tool output was required, but the model returned no output-tool call. OutputToolRequired, /// An output function requested another attempt after the retry budget. OutputRetriesExceeded, /// `max_tokens` was set for a model profile that rejects it. ModelDoesNotSupportMaxTokens, /// The requested reasoning effort is absent from the model profile. ModelDoesNotSupportReasoningEffort, /// `seed` was set for a model profile that rejects it. ModelDoesNotSupportSeed, /// Stop sequences were set for a model profile that rejects them. ModelDoesNotSupportStopSequences, /// Streaming was requested from a model profile without streaming support. ModelDoesNotSupportStreaming, /// `temperature` was set for a model profile that rejects it. ModelDoesNotSupportTemperature, /// `top_p` was set for a model profile that rejects it. ModelDoesNotSupportTopP, /// `top_k` was set for a model profile that rejects it. ModelDoesNotSupportTopK, /// A presence penalty was set for a model profile that rejects it. ModelDoesNotSupportPresencePenalty, /// A frequency penalty was set for a model profile that rejects it. ModelDoesNotSupportFrequencyPenalty, /// Log probabilities were requested from a model profile that rejects them. ModelDoesNotSupportLogprobs, /// Tool choice was set for a model profile that rejects it. ModelDoesNotSupportToolChoice, /// Parallel-tool policy was set for a model profile that cannot encode it. ModelDoesNotSupportParallelToolCallSetting, /// A thinking token budget was set for a model profile that rejects it. ModelDoesNotSupportThinkingBudget, /// A service tier was set for a model profile that rejects it. ModelDoesNotSupportServiceTier, /// Truncation policy was set for a model profile that rejects it. ModelDoesNotSupportTruncation, /// Request headers were set for a model profile that rejects them. ModelDoesNotSupportRequestHeaders, /// Provider extension JSON does not match the selected model profile. ModelDoesNotSupportExtraBody, /// Generation stopped for length before producing a complete result. ModelOutputTruncated, /// Reported cumulative output usage exceeded its run limit. OutputTokenLimitExceeded, /// Estimated or provider-reported cumulative cost exceeded its run limit. CostLimitExceeded, /// A model emitted parallel calls while parallel execution was disabled. ParallelToolCallsNotSupported, /// Parallel tool execution was required without an `Io` runtime. ParallelToolCallsRequireIo, /// A provider-managed file belongs to a different provider. ProviderFileProviderMismatch, /// An outbound or provider-fetched URL is not syntactically valid. InvalidUrl, /// An outbound or provider-fetched URL has no host. UrlMissingHost, /// An outbound or provider-fetched URL uses a forbidden scheme. UrlSchemeNotAllowed, /// An outbound or provider-fetched URL embeds user information. UrlCredentialsForbidden, /// An outbound or provider-fetched URL targets a forbidden local address. LocalNetworkUrlForbidden, /// An outbound or provider-fetched URL host is absent from the allowlist. UrlHostNotAllowed, /// Reported cumulative input plus output usage exceeded its run limit. TotalTokenLimitExceeded, /// Usage counters, durations, or cost overflowed their exact integer type. UsageOverflow, /// The runtime could not schedule all required controlled tool tasks. ToolConcurrencyUnavailable, /// A tool returned too many or too-large follow-up messages. ToolFollowUpOverflow, /// A configured tool isolation control requires an `Io` runtime. ToolIsolationRequiresIo, /// More tool calls were waiting than the configured queue permits. ToolQueueOverflow, /// A tool result exceeded its encoded byte limit. ToolResultTooLarge, /// A tool policy requested a retry after the per-tool budget was exhausted. ToolPolicyRetry, /// A local tool exceeded its execution timeout. ToolTimedOut, /// A normal run encountered a tool requiring approval or external execution. ToolCallRequiresDeferredRun, /// A resumed approval call has no matching decision. MissingDeferredToolDecision, /// A resume decision does not match any paused tool call. UnexpectedDeferredToolDecision, /// An external deferred tool resumed without a supplied result. DeferredToolRequiresResult, /// Serialized paused or resume state is malformed or incompatible. InvalidDeferredState, /// A follow-up message contains a part invalid for its request role. InvalidContentRole, /// A pending-message queue was attached to more than one run. PendingMessageQueueAlreadyUsed, /// A pending message was submitted after its run stopped accepting input. PendingMessageQueueClosed, /// A tool follow-up message violates provider request invariants. InvalidToolFollowUpMessage, /// The model requested a tool that is not currently available. UnknownTool, /// Retry backoff was configured without an `Io` runtime. RetryBackoffRequiresIo, /// Idempotent retry keys were required without an `Io` entropy source. RetryIdempotencyRequiresIo, /// A deadline was configured without an `Io` runtime. RunControlRequiresIo, /// The runtime could not schedule a run operation and its control watchers. RunControlConcurrencyUnavailable, /// The invocation's absolute monotonic deadline elapsed. RunTimedOut,};
const AgentUsageLimits = struct { max_model_requests: usize = 8, /// Maximum number of tool calls requested across the complete run. max_tool_calls: usize = 64, max_input_tokens: ?u64 = null, max_output_tokens: ?u64 = null, max_total_tokens: ?u64 = null, /// Exact nano-USD ceiling. It is enforced only when cost is available. max_cost_nano_usd: ?u64 = null,};
const AgentBackoff = struct { initial_delay_ms: u64 = 250, maximum_delay_ms: u64 = 8_000, respect_retry_after: bool = true,};
const AgentRetryPolicy = struct { max_retries: usize = 2, retry_rate_limits: bool = true, retry_server_errors: bool = true, retry_timeouts: bool = true, retry_connection_errors: bool = true, retry_decode_errors: bool = true, /// Maximum cumulative backoff delay across one complete agent run. max_total_delay_ms: ?u64 = 30_000, backoff: ?AgentBackoff = null, before_retry: ?RetryHook = null,};
pub const CancellationToken = model_types.CancellationToken;
pub const RetryEvent = struct { failure: anyerror, retry_number: usize, model_requests: usize, retry_after_seconds: ?u64 = null, rate_limit_remaining_requests: ?u64 = null, rate_limit_remaining_tokens: ?u64 = null, /// Borrowed provider response ID. Copy it in the hook to retain it. provider_request_id: ?[]const u8 = null, delay_ms: u64 = 0, total_delay_ms: u64 = 0,};
pub const RetryHook = struct { context: *anyopaque, waitFn: *const fn (context: *anyopaque, event: RetryEvent) anyerror!void,
pub fn wait(self: RetryHook, event: RetryEvent) !void { return self.waitFn(self.context, event); }};
fn invokeRetryHook(hook: RetryHook, event: RetryEvent) !void { return hook.wait(event);}
/// A validated function-tool call about to enter the local dispatcher.pub const FunctionToolCallEvent = struct { call: model_types.ToolCall,};
/// A completed local function-tool invocation.pub const FunctionToolResultEvent = struct { result: model_types.ToolResult,};
/// Calls that paused the run for approval or external execution.pub const DeferredToolRequestsEvent = struct { requests: []const DeferredToolCall,};
/// Results accepted while continuing a previously paused run.pub const DeferredToolResultsEvent = struct { results: []const RequestPart,};
/// Messages added to an active run. The event is part of the stable stream/// vocabulary; pending-message injection emits it when messages enter history.pub const EnqueuedMessagesEvent = struct { messages: []const Message,};
/// A change to the tools visible to the model.pub const ToolAvailabilityDeltaEvent = struct { part: model_types.ToolAvailabilityDeltaPart,};
/// The one accepted final output for a run. `structured_output` is a borrowed,/// validated JSON snapshot for JSON object/schema outputs and null for text.pub const FinalResultEvent = struct { output: []const u8, /// Selected choice name for tool output; null for text/native/prompted output. output_name: ?[]const u8 = null, structured_output: ?std.json.Value = null,};
/// One accumulated provisional output snapshot. Structured snapshots are/// repaired and partially validated; all values are borrowed for the callback.pub const PartialOutputEvent = struct { output: []const u8, output_name: ?[]const u8 = null, structured_output: ?std.json.Value = null,};
/// Borrowed agent-run events. Model part events are provisional; only/// `final_result` means output validation succeeded.pub const AgentStreamEvent = union(enum) { model: model_types.ModelStreamEvent, function_tool_call: FunctionToolCallEvent, function_tool_result: FunctionToolResultEvent, tool_availability_delta: ToolAvailabilityDeltaEvent, deferred_tool_requests: DeferredToolRequestsEvent, deferred_tool_results: DeferredToolResultsEvent, enqueued_messages: EnqueuedMessagesEvent, partial_output: PartialOutputEvent, final_result: FinalResultEvent,};
pub const AgentStreamSink = struct { context: *anyopaque, eventFn: *const fn (context: *anyopaque, event: AgentStreamEvent) anyerror!void,
pub fn emit(self: AgentStreamSink, event: AgentStreamEvent) !void { return self.eventFn(self.context, event); }};
const OutputValidator = struct { context: *anyopaque, validateFn: *const fn (context: *anyopaque, allocator: std.mem.Allocator, output: []const u8) anyerror!void,
fn validate(self: OutputValidator, allocator: std.mem.Allocator, output: []const u8) !void { return self.validateFn(self.context, allocator, output); }};
const ControlledOutputValidator = struct { validator: OutputValidator, control: model_types.RunControl,
fn validate(context: *anyopaque, allocator: std.mem.Allocator, output: []const u8) !void { const self: *ControlledOutputValidator = @ptrCast(@alignCast(context)); return self.control.invoke(void, invokeOutputValidator, .{ self.validator, allocator, output }); }};
fn invokeOutputValidator(validator: OutputValidator, allocator: std.mem.Allocator, output: []const u8) !void { return validator.validate(allocator, output);}
pub const InstructionContext = struct { dependencies: ?*anyopaque = null, prompt: []const u8, /// Active and on-demand-loaded capability IDs at evaluation time. capabilities: capability_types.Snapshot = .{}, control: model_types.RunControl = .{},
/// Recovers the application dependency type supplied by the agent or run. pub fn dependency(self: InstructionContext, comptime T: type) ?*T { const pointer = self.dependencies orelse return null; return @ptrCast(@alignCast(pointer)); }};
/// A static instruction or a callback evaluated once at the start of a run.pub const Instruction = union(enum) { text: []const u8, dynamic: Dynamic,
pub const Dynamic = struct { context: *anyopaque, resolveFn: *const fn ( context: *anyopaque, allocator: std.mem.Allocator, run_context: InstructionContext, ) anyerror![]const u8,
pub fn resolve( self: Dynamic, allocator: std.mem.Allocator, run_context: InstructionContext, ) ![]const u8 { return self.resolveFn(self.context, allocator, run_context); } };};
/// Values that apply only to one buffered or streaming run.pub const RunOptions = struct { /// Earlier conversation messages. They are copied into the result arena. message_history: []const Message = &.{}, /// Rich parts inserted before the text prompt in the new user message. prompt_parts: []const PromptPart = &.{}, /// Extra instructions appended after the agent's static and dynamic ones. instructions: []const []const u8 = &.{}, /// Capabilities contributed for this invocation after agent capabilities. capabilities: []const Capability = &.{}, /// Explicit inherited, nested, or subagent layers. Layers compose by /// `CapabilityScope` and then declaration order, independent of slice order. capability_layers: []const CapabilityLayer = &.{}, /// Overrides agent dependencies when non-null. dependencies: ?*anyopaque = null, /// Highest-precedence generation settings for this run. model_settings: model_types.ModelSettings = .{}, /// Extra provider-facing history processors applied after agent processors. history_processors: []const history.Processor = &.{}, /// Replaces the agent's context budget for this invocation. context_budget: ?context_budget.Budget = null, /// Provider-facing correlation ID for every model request in this run. request_id: ?[]const u8 = null, /// Tightens `Agent.run_timeout_ms` for this invocation. timeout_ms: ?u64 = null, /// A one-run, thread-safe queue for request messages submitted while the /// agent is working. The caller owns and deinitializes the queue. pending_messages: ?*PendingMessageQueue = null,};
/// A one-run FIFO for injecting owned request messages at safe agent-loop/// boundaries. Enqueue order is the order calls acquire the queue lock. The/// queue closes atomically before a final result, pause, cancellation, or/// failure, and rejects all later submissions.pub const PendingMessageQueue = struct { allocator: std.mem.Allocator, io: std.Io, mutex: std.Io.Mutex = .init, state: State = .ready, batches: std.ArrayList(Batch) = .empty,
const State = enum { ready, active, closed };
const Batch = struct { arena: std.heap.ArenaAllocator, messages: []const model_types.RequestMessage,
fn deinit(self: *Batch) void { self.arena.deinit(); self.* = undefined; } };
const Drained = struct { allocator: std.mem.Allocator, batches: std.ArrayList(Batch),
fn deinit(self: *Drained) void { for (self.batches.items) |*batch| batch.deinit(); self.batches.deinit(self.allocator); self.* = undefined; } };
pub fn init(allocator: std.mem.Allocator, io: std.Io) PendingMessageQueue { return .{ .allocator = allocator, .io = io }; }
/// Copies one ordered batch. The source can be released as soon as this /// method returns. pub fn enqueue(self: *PendingMessageQueue, messages_to_add: []const model_types.RequestMessage) !void { if (messages_to_add.len == 0) return; var arena = std.heap.ArenaAllocator.init(self.allocator); errdefer arena.deinit(); const copies = try arena.allocator().alloc(model_types.RequestMessage, messages_to_add.len); for (messages_to_add, copies) |message, *copy| { copy.* = try copyRequestMessage(arena.allocator(), message); }
self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); if (self.state == .closed) return AgentError.PendingMessageQueueClosed; try self.batches.append(self.allocator, .{ .arena = arena, .messages = copies }); }
/// Releases queued copies. The queue must outlive any run that uses it. pub fn deinit(self: *PendingMessageQueue) void { self.close(); self.batches.deinit(self.allocator); self.* = undefined; }
fn activate(self: *PendingMessageQueue) !void { self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); if (self.state != .ready) return AgentError.PendingMessageQueueAlreadyUsed; self.state = .active; }
fn drain(self: *PendingMessageQueue) ?Drained { self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); if (self.batches.items.len == 0) return null; const batches = self.batches; self.batches = .empty; return .{ .allocator = self.allocator, .batches = batches }; }
fn drainOrClose(self: *PendingMessageQueue) ?Drained { self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); if (self.batches.items.len == 0) { self.state = .closed; return null; } const batches = self.batches; self.batches = .empty; return .{ .allocator = self.allocator, .batches = batches }; }
fn closeAndDrain(self: *PendingMessageQueue) ?Drained { self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); self.state = .closed; if (self.batches.items.len == 0) return null; const batches = self.batches; self.batches = .empty; return .{ .allocator = self.allocator, .batches = batches }; }
fn close(self: *PendingMessageQueue) void { var drained = self.closeAndDrain() orelse return; drained.deinit(); }};
pub const DeferredToolCall = struct { call_id: []const u8, name: []const u8, arguments_json: []const u8, execution: model_types.ToolExecution,};
pub const ResumeAction = enum { approve, deny, result,};
/// A serializable decision for one paused tool call. `content` is the denial/// reason or externally produced result for `deny` and `result` actions.pub const ResumeDecision = struct { call_id: []const u8, action: ResumeAction, content: ?[]const u8 = null, is_error: bool = false,};
const SerializedResume = struct { version: u8 = 1, decisions: []const ResumeDecision,};
pub fn stringifyResumeDecisions( allocator: std.mem.Allocator, decisions: []const ResumeDecision,) ![]u8 { return std.json.Stringify.valueAlloc(allocator, SerializedResume{ .decisions = decisions, }, .{});}
/// Arena-owned resume decisions. All slices remain valid until `deinit`.pub const OwnedResumeDecisions = struct { arena: std.heap.ArenaAllocator, decisions: []const ResumeDecision,
pub fn deinit(self: *OwnedResumeDecisions) void { self.arena.deinit(); self.* = undefined; }};
pub fn parseResumeDecisions( allocator: std.mem.Allocator, source: []const u8,) !OwnedResumeDecisions { var arena = std.heap.ArenaAllocator.init(allocator); errdefer arena.deinit(); const parsed = try json_limits.parseLeaky( SerializedResume, arena.allocator(), source, json_limits.defaults.resume_decisions, .{ .ignore_unknown_fields = false, .allocate = .alloc_always }, Agent.Error.InvalidDeferredState, ); if (parsed.version != 1) return Agent.Error.InvalidDeferredState; return .{ .arena = arena, .decisions = parsed.decisions };}
/// Arena-owned paused state. All slices remain valid until `deinit`.pub const PausedRun = struct { arena: std.heap.ArenaAllocator, state_json: []const u8, calls: []const DeferredToolCall, usage: usage_types.RunUsage, model_requests: usize,
pub fn deinit(self: *PausedRun) void { self.arena.deinit(); self.* = undefined; }};
const SerializedToolRetry = struct { name: []const u8, count: usize,};
const SerializedResolvedToolCall = struct { call_id: []const u8, name: []const u8, arguments_json: []const u8, model_arguments_json: []const u8, execution: model_types.ToolExecution, retry_number: usize,};
const SerializedPause = struct { version: u8, prompt: []const u8, history_json: []const u8, instructions: []const []const u8, usage: usage_types.RunUsage, model_requests: usize, total_tool_calls: usize, output_retries: usize, tool_retries: []const SerializedToolRetry, calls: []const SerializedResolvedToolCall, pending_history_json: ?[]const u8 = null,};
const ResumeState = struct { messages: []const Message, instructions: []const []const u8, usage: usage_types.RunUsage, model_requests: usize, total_tool_calls: usize, output_retries: usize, tool_retries: []const SerializedToolRetry, calls: []const SerializedResolvedToolCall, pending_messages: []const Message,};
pub const CapabilityContext = struct { /// Original prompt for the current invocation. prompt: []const u8, /// Application dependency pointer supplied by the agent or run. dependencies: ?*anyopaque, /// Model selected by lower-precedence capability layers. model: model_types.Model, /// Composition scope of the capability being evaluated. scope: capability_types.Scope = .agent, /// Application-only metadata declared by the capability. metadata: []const capability_types.Metadata = &.{}, /// IDs whose complete bundles are active for the next model step. available_capability_ids: []const []const u8 = &.{}, /// Active IDs that entered through on-demand loading. loaded_capability_ids: []const []const u8 = &.{}, /// Cooperative cancellation and deadline control for callbacks. control: model_types.RunControl = .{},};
/// Current run state available while preparing tools for the next model step.pub const ToolsetContext = struct { messages: []const Message, usage: usage_types.RunUsage, model_requests: usize, dependencies: ?*anyopaque, capabilities: capability_types.Snapshot = .{}, control: model_types.RunControl = .{},
pub fn dependency(self: ToolsetContext, comptime T: type) ?*T { const pointer = self.dependencies orelse return null; return @ptrCast(@alignCast(pointer)); }};
/// One prepared tool plus its step-specific availability and metadata.pub const ToolsetEntry = struct { tool: model_types.Tool, enabled: bool = true, metadata: []const model_types.ToolMetadata = &.{},};
/// A static tool collection or a collection prepared dynamically for each model step.pub const Toolset = struct { tools: []const model_types.Tool = &.{}, namespace: ?[]const u8 = null, metadata: []const model_types.ToolMetadata = &.{}, context: ?*anyopaque = null, prepareFn: ?*const fn ( context: ?*anyopaque, allocator: std.mem.Allocator, run: ToolsetContext, tools: []const model_types.Tool, ) anyerror![]const ToolsetEntry = null,
pub fn prepare(self: Toolset, allocator: std.mem.Allocator, run: ToolsetContext) ![]const ToolsetEntry { const prepare_tools = self.prepareFn orelse { const entries = try allocator.alloc(ToolsetEntry, self.tools.len); for (self.tools, entries) |tool, *entry| entry.* = .{ .tool = tool }; return entries; }; return prepare_tools(self.context, allocator, run, self.tools); }};
pub const LifecycleEvent = union(enum) { run_start: RunStart, run_end: RunEnd, run_error: RunError, model_request_start: ModelRequestStart, model_request_end: ModelRequestEnd, model_request_error: ModelRequestError, tool_validation_start: ToolValidationStart, tool_validation_end: ToolValidationEnd, tool_validation_error: ToolValidationError, tool_execution_start: ToolExecutionStart, tool_execution_end: ToolExecutionEnd, tool_execution_error: ToolExecutionError, output_validation_start: OutputValidationStart, output_validation_end: OutputValidationEnd, output_validation_error: OutputValidationError, stream_event: StreamEvent,
pub const RunStart = struct { prompt: []const u8, model: model_types.Model, };
pub const RunEnd = struct { output: []const u8, usage: usage_types.RunUsage, model_requests: usize, };
pub const RunError = struct { failure: anyerror }; pub const ModelRequestStart = struct { number: usize, request: model_types.ModelRequest, streaming: bool, }; pub const ModelRequestEnd = struct { number: usize, response: model_types.ModelResponse, }; pub const ModelRequestError = struct { number: usize, failure: anyerror, will_retry: bool, }; pub const ToolValidationStart = struct { call: model_types.ToolCall }; pub const ToolValidationEnd = struct { call: model_types.ToolCall, tool: model_types.Tool, }; pub const ToolValidationError = struct { call: model_types.ToolCall, failure: anyerror, }; pub const ToolExecutionStart = struct { call: model_types.ToolCall, tool: model_types.Tool, }; pub const ToolExecutionEnd = struct { call: model_types.ToolCall, content: []const u8, }; pub const ToolExecutionError = struct { call: model_types.ToolCall, failure: anyerror, recoverable: bool, }; pub const OutputValidationStart = struct { output: []const u8, retry_number: usize, }; pub const OutputValidationEnd = struct { output: []const u8, retry_number: usize, }; pub const OutputValidationError = struct { output: []const u8, failure: anyerror, retry_number: usize, will_retry: bool, }; pub const StreamEvent = struct { stage: Stage, event: AgentStreamEvent,
pub const Stage = enum { before, after }; };};
pub const LifecycleHook = struct { context: *anyopaque, eventFn: *const fn (context: *anyopaque, event: LifecycleEvent) anyerror!void,
pub fn emit(self: LifecycleHook, event: LifecycleEvent) !void { return self.eventFn(self.context, event); }};
const ControlledLifecycleHook = struct { hook: LifecycleHook, control: model_types.RunControl,
fn emit(context: *anyopaque, event: LifecycleEvent) !void { const self: *ControlledLifecycleHook = @ptrCast(@alignCast(context)); return self.control.invoke(void, invokeLifecycleHook, .{ self.hook, event }); }};
const ControlledHooks = struct { adapters: []ControlledLifecycleHook, hooks: []LifecycleHook,
fn init( allocator: std.mem.Allocator, configured: []const LifecycleHook, control: model_types.RunControl, ) !ControlledHooks { const adapters = try allocator.alloc(ControlledLifecycleHook, configured.len); errdefer allocator.free(adapters); const hooks = try allocator.alloc(LifecycleHook, configured.len); errdefer allocator.free(hooks); for (configured, adapters, hooks) |hook, *adapter, *wrapped| { adapter.* = .{ .hook = hook, .control = control }; wrapped.* = .{ .context = adapter, .eventFn = ControlledLifecycleHook.emit }; } return .{ .adapters = adapters, .hooks = hooks }; }
fn deinit(self: ControlledHooks, allocator: std.mem.Allocator) void { allocator.free(self.hooks); allocator.free(self.adapters); }};
fn invokeLifecycleHook(hook: LifecycleHook, event: LifecycleEvent) !void { return hook.emit(event);}
const ControlledStreamSink = struct { sink: AgentStreamSink, control: model_types.RunControl,
fn emit(context: *anyopaque, event: AgentStreamEvent) !void { const self: *ControlledStreamSink = @ptrCast(@alignCast(context)); return self.control.invoke(void, invokeStreamSink, .{ self.sink, event }); }};
fn invokeStreamSink(sink: AgentStreamSink, event: AgentStreamEvent) !void { return sink.emit(event);}
/// A reusable feature bundle. Named bundles can declare dependencies,/// conflicts, model-facing discovery text, and on-demand loading behavior.pub const Capability = struct { /// Stable ID required for discovery, dependencies, and conflicts. id: ?[]const u8 = null, /// Concise model-facing text shown before an on-demand capability loads. description: ?[]const u8 = null, /// Application-only metadata exposed to the capability model selector. metadata: []const capability_types.Metadata = &.{}, /// IDs activated first, in declaration order. dependencies: []const []const u8 = &.{}, /// IDs that cannot be active at the same time. conflicts: []const []const u8 = &.{}, /// Whether the complete bundle starts active or is progressively disclosed. loading: capability_types.Loading = .eager, /// Whether a successful on-demand load is restored from later run history. unload_policy: capability_types.UnloadPolicy = .history, tools: []const model_types.Tool = &.{}, builtin_tools: []const model_types.BuiltinTool = &.{}, toolsets: []const Toolset = &.{}, instructions: []const Instruction = &.{}, hooks: []const LifecycleHook = &.{}, tool_policies: []const tool_policy.Policy = &.{}, history_processors: []const history.Processor = &.{}, output_validators: []const output_types.Validator = &.{}, model_settings: model_types.ModelSettings = .{}, context: ?*anyopaque = null, selectModelFn: ?*const fn (context: ?*anyopaque, run: CapabilityContext) anyerror!model_types.Model = null,
pub fn selectModel(self: Capability, run: CapabilityContext) !model_types.Model { const select = self.selectModelFn orelse return run.model; return select(self.context, run); }
/// Returns the borrowed registry data for this implementation bundle. pub fn descriptor(self: Capability) capability_types.Descriptor { return .{ .id = self.id, .description = self.description, .metadata = self.metadata, .dependencies = self.dependencies, .conflicts = self.conflicts, .loading = self.loading, .unload_policy = self.unload_policy, }; }};
/// A capability layer supplied by an enclosing run, nested agent, or subagent.pub const CapabilityLayer = struct { /// Fixed precedence tier; input layer slice order never changes tier order. scope: capability_types.Scope, /// Capabilities composed in declaration order within `scope`. capabilities: []const Capability,};
const ScopedCapability = struct { capability: Capability, scope: capability_types.Scope, source_index: usize,};
const ActiveCapabilities = struct { model: model_types.Model, tools: []const model_types.Tool, builtin_tools: []const model_types.BuiltinTool, toolsets: []const Toolset, tool_policies: []const tool_policy.Policy, history_processors: []const history.Processor, output_validators: []const output_types.Validator, model_settings: model_types.ModelSettings,};
const CapabilityRuntime = struct { scoped: []const ScopedCapability, entries: []const capability_types.Entry, active: []bool, loaded: []bool, initial: []bool, pending: []bool, generation: usize = 0, prompt: []const u8, dependencies: ?*anyopaque, control: model_types.RunControl,
fn init( allocator: std.mem.Allocator, scoped: []const ScopedCapability, prompt: []const u8, dependencies: ?*anyopaque, control: model_types.RunControl, previous_messages: []const Message, restoring_pause: bool, ) !CapabilityRuntime { const entries = try allocator.alloc(capability_types.Entry, scoped.len); const active = try allocator.alloc(bool, scoped.len); const loaded = try allocator.alloc(bool, scoped.len); const initial = try allocator.alloc(bool, scoped.len); const pending = try allocator.alloc(bool, scoped.len); @memset(active, false); @memset(loaded, false); @memset(initial, false); @memset(pending, false); for (scoped, entries) |item, *entry| entry.* = .{ .descriptor = item.capability.descriptor(), .scope = item.scope, .source_index = item.source_index, }; var runtime = CapabilityRuntime{ .scoped = scoped, .entries = entries, .active = active, .loaded = loaded, .initial = initial, .pending = pending, .prompt = prompt, .dependencies = dependencies, .control = control, }; const capability_registry = runtime.registry(); if (try capability_registry.diagnose(allocator)) |diagnostic| return capabilityDiagnosticError(diagnostic);
for (scoped, 0..) |item, index| { if (item.capability.loading != .eager) continue; try runtime.activate(allocator, index, true); } try runtime.restoreHistoryLoads(allocator, previous_messages, restoring_pause); return runtime; }
fn registry(self: *const CapabilityRuntime) capability_types.Registry { return .{ .entries = self.entries }; }
fn activate(self: *CapabilityRuntime, allocator: std.mem.Allocator, index: usize, is_initial: bool) !void { const id = self.entries[index].descriptor.id orelse { self.active[index] = true; if (is_initial) self.initial[index] = true; return; }; var resolution = try self.registry().resolve(allocator, id, self.active); defer resolution.deinit(); switch (resolution.outcome) { .diagnostic => |diagnostic| return capabilityDiagnosticError(diagnostic), .plan => |plan| for (plan) |resolved| { self.active[resolved] = true; if (self.scoped[resolved].capability.loading == .on_demand) self.loaded[resolved] = true; if (is_initial) self.initial[resolved] = true; }, } }
fn restoreHistoryLoads( self: *CapabilityRuntime, allocator: std.mem.Allocator, previous_messages: []const Message, restoring_pause: bool, ) !void { for (previous_messages, 0..) |message, message_index| switch (message) { .response => |response| for (response.parts) |part| switch (part) { .capability_load_call => |call| { if (!hasSuccessfulCapabilityReturn(previous_messages[message_index + 1 ..], call.call_id)) continue; try self.activateHistoryId(allocator, call.capability_id, restoring_pause); }, .tool_call => |call| { if (!std.mem.eql(u8, call.name, load_capability_tool_name) or !hasSuccessfulToolReturn(previous_messages[message_index + 1 ..], call.id, call.name)) continue; const parsed = json_limits.parseLeaky( LoadCapabilityArguments, allocator, call.arguments_json, json_limits.defaults.tool_payload, .{ .ignore_unknown_fields = false }, AgentError.InvalidCapability, ) catch continue; try self.activateHistoryId(allocator, parsed.id, restoring_pause); }, else => {}, }, .request => {}, }; }
fn activateHistoryId( self: *CapabilityRuntime, allocator: std.mem.Allocator, id: []const u8, restoring_pause: bool, ) !void { const index = self.registry().findIndex(id) orelse return; if (!restoring_pause and self.scoped[index].capability.unload_policy != .history) return; try self.activate(allocator, index, false); }
fn activeIds(self: *const CapabilityRuntime, allocator: std.mem.Allocator, loaded_only: bool) ![]const []const u8 { var ids: std.ArrayList([]const u8) = .empty; for (self.entries, 0..) |entry, index| { if (!self.active[index] or (loaded_only and !self.loaded[index])) continue; if (entry.descriptor.id) |id| try ids.append(allocator, id); } return ids.toOwnedSlice(allocator); }
fn snapshot(self: *const CapabilityRuntime, allocator: std.mem.Allocator) !capability_types.Snapshot { return .{ .available_ids = try self.activeIds(allocator, false), .loaded_ids = try self.activeIds(allocator, true), }; }
fn assemble( self: *CapabilityRuntime, allocator: std.mem.Allocator, agent: Agent, ) !ActiveCapabilities { var tools: std.ArrayList(model_types.Tool) = .empty; try tools.appendSlice(allocator, agent.tools); var builtin_tools: std.ArrayList(model_types.BuiltinTool) = .empty; try builtin_tools.appendSlice(allocator, agent.builtin_tools); var toolsets: std.ArrayList(Toolset) = .empty; try toolsets.appendSlice(allocator, agent.toolsets); var policies: std.ArrayList(tool_policy.Policy) = .empty; try policies.appendSlice(allocator, agent.tool_policies); var processors: std.ArrayList(history.Processor) = .empty; try processors.appendSlice(allocator, agent.history_processors); var validators: std.ArrayList(output_types.Validator) = .empty; try validators.appendSlice(allocator, agent.output_validators); var settings: model_types.ModelSettings = .{}; var selected_model = agent.model; const available_ids = try self.activeIds(allocator, false); const loaded_ids = try self.activeIds(allocator, true); for (self.scoped, 0..) |item, index| { if (!self.active[index]) continue; const capability = item.capability; try tools.appendSlice(allocator, capability.tools); try builtin_tools.appendSlice(allocator, capability.builtin_tools); try toolsets.appendSlice(allocator, capability.toolsets); try policies.appendSlice(allocator, capability.tool_policies); try processors.appendSlice(allocator, capability.history_processors); try validators.appendSlice(allocator, capability.output_validators); settings = settings.overrideWith(capability.model_settings); selected_model = try self.control.invoke(model_types.Model, selectCapabilityModel, .{ capability, CapabilityContext{ .prompt = self.prompt, .dependencies = self.dependencies, .model = selected_model, .scope = item.scope, .metadata = capability.metadata, .available_capability_ids = available_ids, .loaded_capability_ids = loaded_ids, .control = self.control, }, }); } if (self.hasDeferred()) try tools.append(allocator, self.loadTool()); return .{ .model = selected_model, .tools = try tools.toOwnedSlice(allocator), .builtin_tools = try builtin_tools.toOwnedSlice(allocator), .toolsets = try toolsets.toOwnedSlice(allocator), .tool_policies = try policies.toOwnedSlice(allocator), .history_processors = try processors.toOwnedSlice(allocator), .output_validators = try validators.toOwnedSlice(allocator), .model_settings = settings, }; }
fn appendInitialInstructions( self: *CapabilityRuntime, allocator: std.mem.Allocator, instructions: *std.ArrayList(Instruction), ) !void { for (self.scoped, 0..) |item, index| { if (self.initial[index]) try instructions.appendSlice(allocator, item.capability.instructions); } if (try self.catalogInstruction(allocator)) |catalog| { try instructions.append(allocator, .{ .text = catalog }); } }
fn catalogInstruction(self: *const CapabilityRuntime, allocator: std.mem.Allocator) !?[]const u8 { if (!self.hasDeferred()) return null; var content: std.ArrayList(u8) = .empty; try content.appendSlice( allocator, "The following capabilities can be loaded with the `load_capability` tool. " ++ "Their tools and behavior stay unavailable until loaded:\n", ); for (self.scoped, 0..) |item, index| { const capability = item.capability; if (capability.loading != .on_demand or self.active[index]) continue; try content.appendSlice(allocator, "- "); try content.appendSlice(allocator, capability.id.?); if (capability.description) |description| { try content.appendSlice(allocator, ": "); try content.appendSlice(allocator, description); } try content.append(allocator, '\n'); } const owned: []const u8 = try content.toOwnedSlice(allocator); return owned; }
fn hasDeferred(self: *const CapabilityRuntime) bool { for (self.scoped, 0..) |item, index| { if (item.capability.loading == .on_demand and !self.active[index]) return true; } return false; }
fn hasOnDemand(self: *const CapabilityRuntime) bool { for (self.scoped) |item| if (item.capability.loading == .on_demand) return true; return false; }
fn loadTool(self: *CapabilityRuntime) model_types.Tool { return .{ .definition = .{ .name = load_capability_tool_name, .description = "Load one named capability and its required dependencies.", .parameters_json_schema = load_capability_schema, }, .sequential = true, .context = self, .validateFn = validateCapabilityLoad, .executeWithContextFn = executeCapabilityLoad, }; }
fn requestLoad( self: *CapabilityRuntime, allocator: std.mem.Allocator, capability_id: []const u8, ) ![]const u8 { const index = self.registry().findIndex(capability_id) orelse return error.UnknownCapability; if (self.scoped[index].capability.loading != .on_demand) return error.CapabilityAlreadyAvailable; if (self.active[index] or self.pending[index]) { return std.fmt.allocPrint(allocator, "Capability `{s}` is already loaded.", .{capability_id}); } const effective = try allocator.dupe(bool, self.active); for (self.pending, effective) |is_pending, *is_active| is_active.* = is_active.* or is_pending; var resolution = try self.registry().resolve(allocator, capability_id, effective); defer resolution.deinit(); const plan = switch (resolution.outcome) { .diagnostic => |diagnostic| { std.debug.assert(diagnostic.kind == .active_conflict); return error.CapabilityConflict; }, .plan => |value| value, }; var content: std.ArrayList(u8) = .empty; try content.appendSlice(allocator, "Loaded capabilities:"); for (plan) |resolved| { const capability = self.scoped[resolved].capability; if (capability.id) |id| { try content.appendSlice(allocator, "\n- "); try content.appendSlice(allocator, id); } const resolved_instructions = try resolveInstructions(allocator, capability.instructions, &.{}, .{ .dependencies = self.dependencies, .prompt = self.prompt, .capabilities = try self.snapshot(allocator), .control = self.control, }); for (resolved_instructions) |instruction| { try content.appendSlice(allocator, "\n\n"); try content.appendSlice(allocator, instruction); } } const owned = try content.toOwnedSlice(allocator); for (plan) |resolved| self.pending[resolved] = true; return owned; }
fn commitPending(self: *CapabilityRuntime) void { var changed = false; for (self.pending, 0..) |*is_pending, index| { if (!is_pending.*) continue; self.active[index] = true; self.loaded[index] = true; is_pending.* = false; changed = true; } if (changed) self.generation += 1; }};
const CapabilityHookAdapter = struct { runtime: *CapabilityRuntime, capability_index: usize, hook: LifecycleHook,
fn emit(context: *anyopaque, event: LifecycleEvent) !void { const self: *CapabilityHookAdapter = @ptrCast(@alignCast(context)); if (!self.runtime.active[self.capability_index]) return; return self.hook.emit(event); }};
const LoadCapabilityArguments = struct { id: []const u8 };const load_capability_tool_name = "load_capability";const load_capability_schema = "{\"type\":\"object\",\"properties\":{\"id\":{\"type\":\"string\"}}," ++ "\"required\":[\"id\"],\"additionalProperties\":false}";
fn validateCapabilityLoad(context: *anyopaque, allocator: std.mem.Allocator, arguments_json: []const u8) !void { const runtime: *CapabilityRuntime = @ptrCast(@alignCast(context)); const parsed = try json_limits.parseLeaky( LoadCapabilityArguments, allocator, arguments_json, json_limits.defaults.tool_payload, .{ .ignore_unknown_fields = false }, error.InvalidCapabilityArguments, ); if (runtime.registry().findIndex(parsed.id) == null) return error.UnknownCapability;}
fn executeCapabilityLoad( context: *anyopaque, allocator: std.mem.Allocator, _: model_types.ToolRunContext, arguments_json: []const u8,) ![]const u8 { const runtime: *CapabilityRuntime = @ptrCast(@alignCast(context)); const parsed = try json_limits.parseLeaky( LoadCapabilityArguments, allocator, arguments_json, json_limits.defaults.tool_payload, .{ .ignore_unknown_fields = false }, error.InvalidCapabilityArguments, ); return runtime.requestLoad(allocator, parsed.id);}
fn capabilityDiagnosticError(diagnostic: capability_types.Diagnostic) AgentError { return switch (diagnostic.kind) { .duplicate_id => AgentError.DuplicateCapabilityId, .missing_dependency => AgentError.MissingCapabilityDependency, .dependency_cycle => AgentError.CapabilityDependencyCycle, .active_conflict => AgentError.CapabilityConflict, else => AgentError.InvalidCapability, };}
fn hasSuccessfulCapabilityReturn(messages: []const Message, call_id: []const u8) bool { for (messages) |message| switch (message) { .request => |request| for (request.parts) |part| switch (part) { .capability_load_return => |result| if (std.mem.eql(u8, result.call_id, call_id)) { return result.outcome == .success; }, .tool_return => |result| if (result.tool_kind == .capability_load and std.mem.eql(u8, result.call_id, call_id)) { return !result.isError(); }, else => {}, }, .response => {}, }; return false;}
fn hasSuccessfulToolReturn(messages: []const Message, call_id: []const u8, name: []const u8) bool { for (messages) |message| switch (message) { .request => |request| for (request.parts) |part| switch (part) { .tool_return => |result| if (std.mem.eql(u8, result.call_id, call_id) and std.mem.eql(u8, result.name, name)) return !result.isError(), else => {}, }, .response => {}, }; return false;}
fn selectCapabilityModel(capability: Capability, context: CapabilityContext) !model_types.Model { return capability.selectModel(context);}
/// An owned agent result whose JSON response has been decoded as `Output`.////// `output`, `output_json`, and `messages` may all reference the result arena./// Call `deinit` exactly once when none of them are needed anymore.pub fn TypedResult(comptime Output: type) type { return struct { arena: std.heap.ArenaAllocator, output: Output, output_json: []const u8, output_name: ?[]const u8 = null, messages: []const Message, usage: usage_types.RunUsage, model_requests: usize, finish_reason: ?model_types.FinishReason,
pub fn deinit(self: *@This()) void { self.arena.deinit(); self.* = undefined; } };}
pub const Agent = struct { model: model_types.Model, /// Reusable feature bundles composed before run-scoped capability layers. capabilities: []const Capability = &.{}, hooks: []const LifecycleHook = &.{}, /// Ordered tool lifecycle policies. Capability policies run afterward in /// `capabilities` order. tool_policies: []const tool_policy.Policy = &.{}, tools: []const model_types.Tool = &.{}, builtin_tools: []const model_types.BuiltinTool = &.{}, toolsets: []const Toolset = &.{}, history_processors: []const history.Processor = &.{}, system_prompt: ?[]const u8 = null, instructions: []const Instruction = &.{}, output: output_types.Spec = .text, /// Ordered semantic validators. Each may transform output or return a safe /// retry message; thrown errors abort the run. output_validators: []const output_types.Validator = &.{}, /// Policy for ordinary tools emitted alongside a final output. end_strategy: output_types.EndStrategy = .graceful, /// Re-check structured provider output locally before returning it. This is /// intentionally opt-in because JSON Schema support is a documented subset. validate_output_locally: bool = false, /// Number of invalid final responses returned to the model for correction. max_output_retries: usize = 2, /// Default number of failures returned to the model for each tool. max_tool_retries: usize = 2, /// Run-wide local tool execution limits. A tool may only tighten them. tool_limits: model_types.ToolLimits = .{}, /// Overrides model defaults for every run of this agent. model_settings: model_types.ModelSettings = .{}, limits: UsageLimits = .{}, retry_policy: RetryPolicy = .{}, /// Provider-request preflight limits and optional compaction policy. context_budget: ContextBudget = .{}, /// Policy for provider endpoints and URLs represented in rich content. url_policy: security.UrlPolicy = .{}, provider_error_observer: ?model_types.ProviderErrorObserver = null, /// Bounded provider details made visible to `provider_error_observer`. provider_error_policy: model_types.ProviderErrorPolicy = .{}, dependencies: ?*anyopaque = null, /// Cooperative token raced against in-flight work when `io` is available. cancellation: ?*const CancellationToken = null, /// One monotonic budget shared by the complete invocation. run_timeout_ms: ?u64 = null, /// Per-model-attempt ceiling, tightened by the remaining run budget. request_timeout_ms: ?u64 = null, /// Runtime used for HTTP, parallel tools, and preemptive run controls. io: ?std.Io = null, /// Optional per-run OpenTelemetry spans and metrics. telemetry: ?telemetry_types.OpenTelemetry = null, /// Optional deterministic pricing snapshot. Unknown or incompletely /// priced models retain a null cost. price_table: ?pricing_types.Table = null,
pub const UsageLimits = AgentUsageLimits; pub const RetryPolicy = AgentRetryPolicy; pub const Backoff = AgentBackoff; pub const ContextBudget = context_budget.Budget; pub const ToolLimits = model_types.ToolLimits;
pub const Error = AgentError;
/// Arena-owned buffered result. `output` and `messages` remain valid until /// `deinit`. pub const Result = struct { arena: std.heap.ArenaAllocator, output: []const u8, /// Selected choice name for tool output; null for other output modes. output_name: ?[]const u8 = null, messages: []const Message, usage: usage_types.RunUsage, model_requests: usize, finish_reason: ?model_types.FinishReason,
pub fn deinit(self: *Result) void { self.arena.deinit(); self.* = undefined; } };
pub const RunOutcome = union(enum) { complete: Result, paused: PausedRun,
pub fn deinit(self: *RunOutcome) void { switch (self.*) { .complete => |*result| result.deinit(), .paused => |*paused| paused.deinit(), } self.* = undefined; } };
pub fn run(self: Agent, allocator: std.mem.Allocator, prompt: []const u8) !Result { return self.runWithOptions(allocator, prompt, .{}); }
/// Derives a strict JSON Schema from `Output`, requests it from the model, /// and decodes the final response into an owned typed result. pub fn runTyped( self: Agent, comptime Output: type, allocator: std.mem.Allocator, prompt: []const u8, ) !TypedResult(Output) { return self.runTypedWithOptions(Output, allocator, prompt, .{}); }
/// Runs a typed request with history, run-specific instructions, or dependencies. pub fn runTypedWithOptions( self: Agent, comptime Output: type, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, ) !TypedResult(Output) { const configured = withTypedOutput(self, Output); return decodeTypedResult(Output, try configured.runResultInternal( allocator, prompt, options, null, typedOutputValidator(Output), )); }
/// Runs with message history, run-specific instructions, or dependencies. pub fn runWithOptions( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, ) !Result { return self.runResultInternal(allocator, prompt, options, null, null); }
/// Runs until final output or a tool needs approval or external execution. pub fn runUntilPause(self: Agent, allocator: std.mem.Allocator, prompt: []const u8) !RunOutcome { return self.runUntilPauseWithOptions(allocator, prompt, .{}); }
pub fn runUntilPauseWithOptions( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, ) !RunOutcome { return self.runOutcomeInternal(allocator, prompt, options, null, null, true, null, &.{}); }
/// Streams until final output or a tool requires approval or external execution. pub fn runUntilPauseStream( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, sink: AgentStreamSink, ) !RunOutcome { return self.runUntilPauseStreamWithOptions(allocator, prompt, .{}, sink); }
pub fn runUntilPauseStreamWithOptions( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, sink: AgentStreamSink, ) !RunOutcome { return self.runOutcomeInternal(allocator, prompt, options, sink, null, true, null, &.{}); }
/// Continues a serialized paused run. Decisions must cover every paused /// approval or external tool call exactly once. pub fn resumeRun( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions: []const ResumeDecision, ) !RunOutcome { return self.resumeRunWithOptions(allocator, state_json, decisions, .{}); }
pub fn resumeRunJson( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions_json: []const u8, ) !RunOutcome { var decisions = try parseResumeDecisions(allocator, decisions_json); defer decisions.deinit(); return self.resumeRun(allocator, state_json, decisions.decisions); }
pub fn resumeRunWithOptions( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions: []const ResumeDecision, options: RunOptions, ) !RunOutcome { return self.resumeRunInternal(allocator, state_json, decisions, options, null); }
/// Continues a paused run and emits deferred-result and subsequent model events. pub fn resumeRunStream( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions: []const ResumeDecision, sink: AgentStreamSink, ) !RunOutcome { return self.resumeRunStreamWithOptions(allocator, state_json, decisions, .{}, sink); }
pub fn resumeRunStreamWithOptions( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions: []const ResumeDecision, options: RunOptions, sink: AgentStreamSink, ) !RunOutcome { return self.resumeRunInternal(allocator, state_json, decisions, options, sink); }
fn resumeRunInternal( self: Agent, allocator: std.mem.Allocator, state_json: []const u8, decisions: []const ResumeDecision, options: RunOptions, stream_sink: ?AgentStreamSink, ) !RunOutcome { const parsed = try json_limits.parse( SerializedPause, allocator, state_json, json_limits.defaults.paused_state, .{ .ignore_unknown_fields = false }, Error.InvalidDeferredState, ); defer parsed.deinit(); if (parsed.value.version != 2) return Error.InvalidDeferredState; var owned_history = history.parse(allocator, parsed.value.history_json) catch return Error.InvalidDeferredState; defer owned_history.deinit(); var owned_pending: ?history.Owned = if (parsed.value.pending_history_json) |pending_json| history.parse(allocator, pending_json) catch return Error.InvalidDeferredState else null; defer if (owned_pending) |*pending| pending.deinit(); return self.runOutcomeInternal( allocator, parsed.value.prompt, options, stream_sink, null, true, .{ .messages = owned_history.messages, .instructions = parsed.value.instructions, .usage = parsed.value.usage, .model_requests = parsed.value.model_requests, .total_tool_calls = parsed.value.total_tool_calls, // kcov-ignore .output_retries = parsed.value.output_retries, // kcov-ignore .tool_retries = parsed.value.tool_retries, // kcov-ignore .calls = parsed.value.calls, .pending_messages = if (owned_pending) |pending| pending.messages else &.{}, }, decisions, ); }
pub fn runStream(self: Agent, allocator: std.mem.Allocator, prompt: []const u8, sink: AgentStreamSink) !Result { return self.runStreamWithOptions(allocator, prompt, .{}, sink); }
/// Streams a typed request and returns the decoded, arena-owned result. pub fn runTypedStream( self: Agent, comptime Output: type, allocator: std.mem.Allocator, prompt: []const u8, sink: AgentStreamSink, ) !TypedResult(Output) { return self.runTypedStreamWithOptions(Output, allocator, prompt, .{}, sink); }
/// Streams a typed request with history, instructions, or dependencies. pub fn runTypedStreamWithOptions( self: Agent, comptime Output: type, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, sink: AgentStreamSink, ) !TypedResult(Output) { const configured = withTypedOutput(self, Output); return decodeTypedResult(Output, try configured.runResultInternal( allocator, prompt, options, sink, typedOutputValidator(Output), )); }
/// Streams a run with message history, run-specific instructions, or dependencies. pub fn runStreamWithOptions( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, sink: AgentStreamSink, ) !Result { return self.runResultInternal(allocator, prompt, options, sink, null); }
fn runResultInternal( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, stream_sink: ?AgentStreamSink, output_validator: ?OutputValidator, ) !Result { const outcome = try self.runOutcomeInternal( allocator, prompt, options, stream_sink, output_validator, false, null, &.{}, ); return switch (outcome) { .complete => |result| result, .paused => unreachable, }; }
fn runOutcomeInternal( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, stream_sink: ?AgentStreamSink, output_validator: ?OutputValidator, allow_pause: bool, resume_state: ?ResumeState, decisions: []const ResumeDecision, ) !RunOutcome { const control = try model_types.RunControl.init( self.io, self.cancellation, earliestTimeout(self.run_timeout_ms, options.timeout_ms), ); try control.check(); if (options.pending_messages) |queue| try queue.activate(); defer if (options.pending_messages) |queue| queue.close(); var sink_adapter: ControlledStreamSink = undefined; const controlled_stream_sink: ?AgentStreamSink = if (stream_sink) |sink| sink: { sink_adapter = .{ .sink = sink, .control = control }; break :sink .{ .context = &sink_adapter, .eventFn = ControlledStreamSink.emit }; } else null; var validator_adapter: ControlledOutputValidator = undefined; const controlled_output_validator: ?OutputValidator = if (output_validator) |validator| validator: { validator_adapter = .{ .validator = validator, .control = control }; break :validator .{ .context = &validator_adapter, .validateFn = ControlledOutputValidator.validate }; } else null; var telemetry_run: ?telemetry_types.Run = if (self.telemetry) |configured| configured.start(allocator) else null; defer if (telemetry_run) |*instrumentation| instrumentation.deinit();
if (self.capabilities.len == 0 and options.capabilities.len == 0 and options.capability_layers.len == 0) { try ensureUniqueToolNames(self.tools); var hooks: std.ArrayList(LifecycleHook) = .empty; defer hooks.deinit(allocator); try hooks.appendSlice(allocator, self.hooks); if (telemetry_run) |*instrumentation| try hooks.append(allocator, telemetryHook(instrumentation)); const controlled_hooks = try ControlledHooks.init(allocator, hooks.items, control); defer controlled_hooks.deinit(allocator); return self.runConfigured(allocator, prompt, options, controlled_stream_sink, controlled_output_validator, controlled_hooks.hooks, allow_pause, resume_state, decisions, control, null) catch |err| { emitLifecycle(controlled_hooks.hooks, .{ .run_error = .{ .failure = err } }) catch {}; return err; }; } var capability_arena = std.heap.ArenaAllocator.init(allocator); defer capability_arena.deinit(); const capability_memory = capability_arena.allocator(); const scoped = try flattenCapabilities( capability_memory, self.capabilities, options.capabilities, options.capability_layers, ); const dependencies = options.dependencies orelse self.dependencies; var capability_runtime = try CapabilityRuntime.init( capability_memory, scoped, prompt, dependencies, control, if (resume_state) |state| state.messages else options.message_history, resume_state != null, ); var instructions: std.ArrayList(Instruction) = .empty; try instructions.appendSlice(capability_memory, self.instructions); try capability_runtime.appendInitialInstructions(capability_memory, &instructions); var hooks: std.ArrayList(LifecycleHook) = .empty; try hooks.appendSlice(capability_memory, self.hooks); var hook_count: usize = 0; for (scoped) |item| hook_count += item.capability.hooks.len; const capability_hook_adapters = try capability_memory.alloc(CapabilityHookAdapter, hook_count); var hook_index: usize = 0; for (scoped, 0..) |item, capability_index| { for (item.capability.hooks) |hook| { capability_hook_adapters[hook_index] = .{ .runtime = &capability_runtime, .capability_index = capability_index, .hook = hook, }; try hooks.append(capability_memory, .{ .context = &capability_hook_adapters[hook_index], .eventFn = CapabilityHookAdapter.emit, }); hook_index += 1; } }
var configured = self; configured.instructions = instructions.items; configured.capabilities = &.{}; if (telemetry_run) |*instrumentation| { try hooks.append(capability_memory, telemetryHook(instrumentation)); } const controlled_hooks = try ControlledHooks.init(allocator, hooks.items, control); defer controlled_hooks.deinit(allocator); return configured.runConfigured(allocator, prompt, options, controlled_stream_sink, controlled_output_validator, controlled_hooks.hooks, allow_pause, resume_state, decisions, control, &capability_runtime) catch |err| { emitLifecycle(controlled_hooks.hooks, .{ .run_error = .{ .failure = err } }) catch {}; return err; }; }
fn runConfigured( self: Agent, allocator: std.mem.Allocator, prompt: []const u8, options: RunOptions, stream_sink: ?AgentStreamSink, output_validator: ?OutputValidator, hooks: []const LifecycleHook, allow_pause: bool, resume_state: ?ResumeState, decisions: []const ResumeDecision, control: model_types.RunControl, capability_runtime: ?*CapabilityRuntime, ) !RunOutcome { try control.check(); var arena = std.heap.ArenaAllocator.init(allocator); errdefer arena.deinit(); const memory = arena.allocator(); var active = try activeCapabilityConfig(capability_runtime, memory, self); var active_generation: usize = if (capability_runtime) |runtime| runtime.generation else 0; var capability_snapshot: capability_types.Snapshot = if (capability_runtime) |runtime| try runtime.snapshot(memory) else .{}; try requireRunModel(active.model.profile, self.system_prompt != null, stream_sink != null); var resolved_settings = active.model.settings .overrideWith(active.model_settings) .overrideWith(self.model_settings) .overrideWith(options.model_settings); try requireModelSettings(active.model.profile, resolved_settings); try ensureBuiltinToolsSupported(active.model.profile, active.builtin_tools); if (resume_state) |state| try ensureContentSupported(active.model, self.url_policy, state.messages) else try ensureContentSupported(active.model, self.url_policy, options.message_history); try ensurePromptPartsSupported(active.model, self.url_policy, options.prompt_parts); const invocation_started = monotonicNow(self.io); try emitLifecycle(hooks, .{ .run_start = .{ .prompt = prompt, .model = active.model } });
var prepared_output = try prepareAgentOutput(memory, self.output, active.model.profile);
const dependencies = options.dependencies orelse self.dependencies; const resolved_instructions = if (resume_state) |state| try copyStrings(memory, state.instructions) else try resolveInstructions(memory, self.instructions, options.instructions, .{ .dependencies = dependencies, .prompt = prompt, .capabilities = capability_snapshot, .control = control, }); var initial_instructions = resolved_instructions; if (prepared_output.prompted_instruction) |instruction| { initial_instructions = try appendString(memory, initial_instructions, instruction); } if (initial_instructions.len > 0 and !active.model.profile.supports_system_messages) { return Error.ModelDoesNotSupportSystemMessages; }
var messages: std.ArrayList(Message) = .empty; var definitions: std.ArrayList(model_types.ToolDefinition) = .empty; var total_usage: usage_types.RunUsage = if (resume_state) |state| try state.usage.dupe(memory) else .{}; if (resume_state) |state| { if (total_usage.requests == 0) total_usage.requests = state.model_requests; if (total_usage.requests != state.model_requests) return Error.InvalidDeferredState; total_usage.tool_calls = state.total_tool_calls; } var provider_errors = ProviderErrorCapture{ .target = self.provider_error_observer }; var tool_retries = ToolRetryTracker{ .allocator = memory };
if (resume_state) |state| { for (state.messages) |message| try appendMessageCopy(memory, &messages, message); try tool_retries.restore(state.tool_retries); } else { if (self.system_prompt) |system_prompt| { try appendSystemMessage(memory, &messages, system_prompt); } for (options.message_history) |message| try appendMessageCopy(memory, &messages, message); try appendPromptMessage(memory, &messages, prompt, options.prompt_parts, initial_instructions); }
var model_requests: usize = if (resume_state) |state| state.model_requests else 0; var output_retries: usize = if (resume_state) |state| state.output_retries else 0; var total_tool_calls: usize = if (resume_state) |state| state.total_tool_calls else 0; var total_retry_delay_ms: u64 = 0; var resume_pending = resume_state != null; while (true) { if (capability_runtime) |runtime| if (active_generation != runtime.generation) { active = try runtime.assemble(memory, self); active_generation = runtime.generation; capability_snapshot = try runtime.snapshot(memory); try requireRunModel(active.model.profile, self.system_prompt != null, stream_sink != null); resolved_settings = active.model.settings .overrideWith(active.model_settings) .overrideWith(self.model_settings) .overrideWith(options.model_settings); try requireModelSettings(active.model.profile, resolved_settings); try ensureBuiltinToolsSupported(active.model.profile, active.builtin_tools); try ensureContentSupported(active.model, self.url_policy, messages.items); prepared_output = try prepareAgentOutput(memory, self.output, active.model.profile); }; var request_instructions = resolved_instructions; if (prepared_output.prompted_instruction) |instruction| { request_instructions = try appendString(memory, request_instructions, instruction); } if (!resume_pending) _ = try appendQueuedMessages( options.pending_messages, false, active.model, self.url_policy, memory, &messages, stream_sink, hooks, ); const toolset_context = ToolsetContext{ .messages = messages.items, .usage = total_usage, .model_requests = model_requests, .dependencies = dependencies, .capabilities = capability_snapshot, .control = control, }; const available_tools = try prepareTools( memory, active.tools, active.toolsets, active.tool_policies, toolset_context, ); try ensureUniqueToolNames(available_tools); if (capability_runtime) |runtime| if (runtime.hasOnDemand() and !runtime.hasDeferred()) { for (available_tools) |tool| { if (std.mem.eql(u8, tool.definition.name, load_capability_tool_name)) { return Error.DuplicateToolName; } } }; try ensureNoOutputToolConflicts(available_tools, prepared_output.tool_choices); if (available_tools.len > 0 and !active.model.profile.supports_tools) { return Error.ModelDoesNotSupportTools; } if (resume_pending) { const current_messages = messages.items; const tool_batch = try executeResumedToolCalls( self, available_tools, memory, current_messages, decisions, resume_state.?.calls, &tool_retries, .{ .dependencies = dependencies, .messages = current_messages, .usage = total_usage, .model_requests = model_requests, .capabilities = capability_snapshot, .cancellation = self.cancellation, .io = self.io, .deadline = control.deadline, }, hooks, ); if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .deferred_tool_results = .{ .results = tool_batch.parts }, }); try messages.append(memory, .{ .request = .{ .parts = tool_batch.parts } }); try appendToolFollowUps(active.model, self.url_policy, memory, &messages, tool_batch.follow_up_messages); const restored = try appendPendingMessageCopies( active.model, self.url_policy, memory, &messages, resume_state.?.pending_messages, ); if (restored.len > 0) if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .enqueued_messages = .{ .messages = restored }, }); resume_pending = false; continue; } definitions.clearRetainingCapacity(); for (available_tools) |tool| try definitions.append(memory, tool.definition); try definitions.appendSlice(memory, prepared_output.tool_definitions); const history_context = history.Context{ .profile = active.model.profile, .usage = total_usage, .model_requests = model_requests, .control = control, }; var request_messages = try history.processAll( memory, active.history_processors, history_context, messages.items, ); request_messages = try history.processAll( memory, options.history_processors, history_context, request_messages, ); request_messages = try prepareContext( memory, options.context_budget orelse self.context_budget, .{ .provider_name = active.model.provider_name, .model_name = active.model.model_name, .messages = request_messages, .instructions = request_instructions, .tools = definitions.items, .builtin_tools = active.builtin_tools, .output = prepared_output.model_format, .settings = resolved_settings, }, control, ); var idempotency_key_storage: [32]u8 = undefined; const idempotency_key = if (active.model.profile.supports_idempotency_key and self.retry_policy.max_retries > 0) generateIdempotencyKey(self.io orelse return Error.RetryIdempotencyRequiresIo, &idempotency_key_storage) else null; var retries: usize = 0; var response = request: while (true) { try control.check(); if (model_requests >= self.limits.max_model_requests) { return Error.MaxModelRequestsExceeded; } model_requests += 1; provider_errors.reset(); var stream_emitted = false; var forwarder = ModelEventForwarder{ .allocator = allocator, .sink = stream_sink, .emitted = &stream_emitted, .hooks = hooks, .prepared_output = prepared_output, .validators = active.output_validators, .run_context = .{ .dependencies = dependencies, .messages = messages.items, .usage = total_usage, .model_requests = model_requests, .capabilities = capability_snapshot, .partial_output = true, .control = control, }, .max_tool_parts = self.limits.max_tool_calls, }; defer forwarder.deinit(); const model_request = model_types.ModelRequest{ .messages = request_messages, .instructions = request_instructions, .tools = definitions.items, .builtin_tools = active.builtin_tools, .output = prepared_output.model_format, .error_observer = provider_errors.observer(), .error_policy = self.provider_error_policy, .url_policy = self.url_policy, .request_id = options.request_id, .idempotency_key = idempotency_key, .timeout_ms = try control.timeoutMilliseconds(self.request_timeout_ms), .cancellation = self.cancellation, .settings = resolved_settings, }; try emitLifecycle(hooks, .{ .model_request_start = .{ .number = model_requests, .request = model_request, .streaming = stream_sink != null, } }); const request_started = monotonicNow(self.io); const attempt = if (stream_sink != null) control.invoke( model_types.ModelResponse, streamModel, .{ active.model, memory, model_request, forwarder.modelSink() }, ) else control.invoke( model_types.ModelResponse, requestModel, .{ active.model, memory, model_request }, ); const value = attempt catch |err| { try total_usage.recordRequest(elapsedMilliseconds(self.io, request_started)); const retry_candidate = !stream_emitted and retries < self.retry_policy.max_retries and shouldRetry(err, self.retry_policy); const delay_ms = if (retry_candidate) if (self.retry_policy.backoff) |backoff| backoffDelayMilliseconds( self.io orelse return Error.RetryBackoffRequiresIo, backoff, retries + 1, // kcov-ignore provider_errors.retry_after_seconds, ) else 0 else 0; const within_budget = if (self.retry_policy.max_total_delay_ms) |maximum| delay_ms <= maximum -| total_retry_delay_ms else true; const will_retry = retry_candidate and within_budget; try emitLifecycle(hooks, .{ .model_request_error = .{ .number = model_requests, .failure = err, .will_retry = will_retry, } }); if (err == error.RequestCancelled) return Error.Cancelled; if (will_retry) { retries += 1; total_retry_delay_ms += delay_ms; if (self.retry_policy.before_retry) |hook| { const retry_event = RetryEvent{ .failure = err, .retry_number = retries, .model_requests = model_requests, .retry_after_seconds = provider_errors.retry_after_seconds, .rate_limit_remaining_requests = provider_errors.rate_limit_remaining_requests, .rate_limit_remaining_tokens = provider_errors.rate_limit_remaining_tokens, .provider_request_id = provider_errors.requestId(), .delay_ms = delay_ms, .total_delay_ms = total_retry_delay_ms, }; try control.invoke(void, invokeRetryHook, .{ hook, retry_event }); } if (self.retry_policy.backoff != null) { const io = self.io orelse return Error.RetryBackoffRequiresIo; try sleepBackoff(io, delay_ms, control); } continue; } return err; }; const request_duration = elapsedMilliseconds(self.io, request_started); try total_usage.recordRequest(request_duration); var accounted = value; accounted.usage.duration_ms = request_duration; break :request accounted; }; if (response.usage.cost == null) if (self.price_table) |table| { if (active.model.provider_name) |provider_name| if (active.model.model_name) |model_name| { const estimate = table.estimate(provider_name, model_name, response.usage) catch return Error.UsageOverflow; if (estimate) |value| { response.usage.cost = value.cost; response.usage.cost_source = .price_table; response.usage.cost_table_version = value.table_version; } }; }; try emitLifecycle(hooks, .{ .model_request_end = .{ .number = model_requests, .response = response, } }); try total_usage.addRequest(memory, response.usage); try enforceUsageLimits(total_usage, self.limits); try enforceFinishReason(response.finish_reason); if (response.parts.len == 0) return Error.EmptyModelResponse;
try messages.append(memory, .{ .response = try copyResponseMessage(memory, response) }); const agent_parts = try normalizeAgentResponseParts(memory, response.parts);
var tool_call_count: usize = 0; for (agent_parts) |part| switch (part) { .tool_call => tool_call_count += 1, else => {}, };
if (tool_call_count == 0) { if (try appendQueuedMessages( options.pending_messages, false, active.model, self.url_policy, memory, &messages, stream_sink, hooks, )) continue; if (prepared_output.requires_tool_output) { if (output_retries >= self.max_output_retries) return Error.OutputToolRequired; output_retries += 1; try appendRetryMessage( memory, &messages, "Return the final result by calling one of the provided output tools.", ); continue; } const raw_output = try collectText(memory, agent_parts); try emitLifecycle(hooks, .{ .output_validation_start = .{ .output = raw_output, .retry_number = output_retries, } }); const validation = try validateFinalOutput( memory, prepared_output.validation_format, self.validate_output_locally or prepared_output.validation_required, raw_output, null, active.output_validators, .{ .dependencies = dependencies, .messages = messages.items, .usage = total_usage, .model_requests = model_requests, .capabilities = capability_snapshot, .control = control, }, output_validator, ); const output = switch (validation) { .accepted => |accepted| accepted, .retry => |retry| retry: { const failure = retry.failure orelse error.OutputValidationRetry; const will_retry = output_retries < self.max_output_retries; try emitLifecycle(hooks, .{ .output_validation_error = .{ .output = raw_output, .failure = failure, .retry_number = output_retries, .will_retry = will_retry, } }); try consumeOutputRetry(self.max_output_retries, &output_retries, retry.failure); if (retry.message.len > self.tool_limits.max_result_bytes) return Error.ToolResultTooLarge; try appendRetryMessage(memory, &messages, retry.message); break :retry null; }, } orelse continue; try emitLifecycle(hooks, .{ .output_validation_end = .{ .output = output, .retry_number = output_retries, } }); if (try appendQueuedMessages( options.pending_messages, true, active.model, self.url_policy, memory, &messages, stream_sink, hooks, )) continue; if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .final_result = .{ .output = output, .structured_output = try structuredOutputSnapshot( memory, prepared_output.validation_format, output, ), } }); addRunDuration(&total_usage, self.io, invocation_started) catch return Error.UsageOverflow; try emitLifecycle(hooks, .{ .run_end = .{ .output = output, .usage = total_usage, .model_requests = model_requests, } }); return .{ .complete = .{ .arena = arena, .output = output, .messages = try messages.toOwnedSlice(memory), .usage = total_usage, .model_requests = model_requests, .finish_reason = response.finish_reason, } }; } if (tool_call_count > self.limits.max_tool_calls -| total_tool_calls) { return Error.MaxToolCallsExceeded; } total_tool_calls += tool_call_count; total_usage.tool_calls = total_tool_calls; if (!active.model.profile.supports_tools) return Error.ModelDoesNotSupportTools; if (tool_call_count > 1 and (!active.model.profile.supports_parallel_tool_calls or resolved_settings.parallel_tool_calls == false)) { return Error.ParallelToolCallsNotSupported; } var ordinary_tool_call_count: usize = 0; for (agent_parts) |part| switch (part) { .tool_call => |call| if (prepared_output.findToolChoice(call.name) == null) { ordinary_tool_call_count += 1; }, else => {}, }; const tool_run_context = model_types.ToolRunContext{ .dependencies = dependencies, .messages = messages.items, .usage = total_usage, .model_requests = model_requests, .capabilities = capability_snapshot, .cancellation = self.cancellation, .io = self.io, .deadline = control.deadline, }; const tool_work = try resolveToolCalls( available_tools, memory, agent_parts, ordinary_tool_call_count, prepared_output, &tool_retries, tool_run_context, active.tool_policies, hooks, ); if (hasDeferredToolCall(tool_work)) { if (!allow_pause) return Error.ToolCallRequiresDeferredRun; const pending_queue = options.pending_messages; const pending = try closeAndCopyPendingMessages( pending_queue, active.model, self.url_policy, memory, ); addRunDuration(&total_usage, self.io, invocation_started) catch return Error.UsageOverflow; const paused = try createPausedRun( &arena, memory, prompt, messages.items, resolved_instructions, total_usage, model_requests, total_tool_calls, output_retries, tool_retries.entries.items, available_tools, agent_parts, tool_work, pending, ); if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .deferred_tool_requests = .{ .requests = paused.calls }, }); return .{ .paused = paused }; }
if (stream_sink) |sink| for (agent_parts) |part| switch (part) { .tool_call => |call| try emitStreamEvent(hooks, sink, .{ .function_tool_call = .{ .call = call }, }), else => {}, };
var has_output_call = false; for (agent_parts) |part| switch (part) { .tool_call => |call| if (prepared_output.findToolChoice(call.name) != null) { has_output_call = true; }, else => {}, }; if (has_output_call) { const output_run_context = output_types.RunContext{ .dependencies = dependencies, .messages = messages.items, .usage = total_usage, .model_requests = model_requests, .capabilities = capability_snapshot, .control = control, }; const records = try memory.alloc(?RequestPart, tool_call_count); @memset(records, null); var follow_up_messages: std.ArrayList(model_types.RequestMessage) = .empty; var selected: ?SelectedOutput = null; var ordinary_failure = false;
if (self.end_strategy == .early) { var ordinal: usize = 0; for (agent_parts) |part| switch (part) { .tool_call => |call| { const choice = prepared_output.findToolChoice(call.name) orelse { ordinal += 1; continue; }; if (selected != null) { records[ordinal] = outputToolResult( call, "Tool not executed because a final output was already selected.", .interrupted, ); ordinal += 1; continue; } const attempt = try processOutputCall( memory, choice, call, output_run_context, active.output_validators, hooks, output_retries, self.max_output_retries, ); switch (attempt) { .selected => |value| { selected = value; records[ordinal] = outputToolResult(call, "Final output accepted.", .success); }, .retry => |retry| { try consumeOutputRetry(self.max_output_retries, &output_retries, retry.failure); if (retry.message.len > self.tool_limits.max_result_bytes) { return Error.ToolResultTooLarge; } records[ordinal] = outputToolResult(call, retry.message, .failed); }, } ordinal += 1; }, else => {}, }; }
var ordinal: usize = 0; for (agent_parts) |part| switch (part) { .tool_call => |call| { if (records[ordinal] != null) { ordinal += 1; continue; } if (prepared_output.findToolChoice(call.name)) |choice| { if (selected != null and self.end_strategy != .exhaustive) { records[ordinal] = outputToolResult( call, "Tool not executed because a final output was already selected.", .interrupted, ); } else { const attempt = try processOutputCall( memory, choice, call, output_run_context, active.output_validators, hooks, output_retries, self.max_output_retries, ); switch (attempt) { .selected => |value| { if (selected == null) selected = value; records[ordinal] = outputToolResult(call, "Final output accepted.", .success); }, .retry => |retry| { try consumeOutputRetry(self.max_output_retries, &output_retries, retry.failure); if (retry.message.len > self.tool_limits.max_result_bytes) { return Error.ToolResultTooLarge; } records[ordinal] = outputToolResult(call, retry.message, .failed); }, } } } else if (selected != null and self.end_strategy != .exhaustive) { records[ordinal] = outputToolResult( call, "Tool not executed because a final output was already selected.", .interrupted, ); } else { const one_work = findToolWork(tool_work, call.id) orelse return Error.UnknownTool; const one = [_]ToolWork{one_work}; const batch = try executeToolCalls( self, available_tools, memory, &one, &tool_retries, tool_run_context, active.tool_policies, hooks, ); records[ordinal] = batch.parts[0]; ordinary_failure = ordinary_failure or batch.parts[0].tool_return.isError(); try follow_up_messages.appendSlice(memory, batch.follow_up_messages); } ordinal += 1; }, else => {}, };
const result_parts = try memory.alloc(RequestPart, records.len); for (records, result_parts) |record, *result_part| result_part.* = record.?; if (capability_runtime) |runtime| runtime.commitPending(); if (stream_sink) |sink| for (result_parts) |part| try emitStreamEvent(hooks, sink, .{ .function_tool_result = .{ .result = part.tool_return }, }); try messages.append(memory, .{ .request = .{ .parts = result_parts } }); try appendToolFollowUps( active.model, self.url_policy, memory, &messages, follow_up_messages.items, );
if (selected) |final| if (!ordinary_failure and follow_up_messages.items.len == 0) { if (final.output.len > self.tool_limits.max_result_bytes) return Error.ToolResultTooLarge; if (try appendQueuedMessages( options.pending_messages, true, active.model, self.url_policy, memory, &messages, stream_sink, hooks, )) continue; if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .final_result = .{ .output = final.output, .output_name = final.name, .structured_output = try structuredOutputSnapshot( memory, final.structured_format, final.output, ), } }); addRunDuration(&total_usage, self.io, invocation_started) catch return Error.UsageOverflow; try emitLifecycle(hooks, .{ .run_end = .{ .output = final.output, .usage = total_usage, .model_requests = model_requests, } }); return .{ .complete = .{ .arena = arena, .output = final.output, .output_name = final.name, .messages = try messages.toOwnedSlice(memory), .usage = total_usage, .model_requests = model_requests, .finish_reason = response.finish_reason, } }; }; continue; }
const tool_batch = try executeToolCalls( self, available_tools, memory, tool_work, &tool_retries, tool_run_context, active.tool_policies, hooks, ); if (capability_runtime) |runtime| runtime.commitPending(); if (stream_sink) |sink| for (tool_batch.parts) |part| { try emitStreamEvent(hooks, sink, .{ .function_tool_result = .{ .result = part.tool_return }, }); }; try messages.append(memory, .{ .request = .{ .parts = tool_batch.parts } }); try appendToolFollowUps(active.model, self.url_policy, memory, &messages, tool_batch.follow_up_messages); } }};
fn flattenCapabilities( allocator: std.mem.Allocator, agent_capabilities: []const Capability, run_capabilities: []const Capability, layers: []const CapabilityLayer,) ![]const ScopedCapability { var flattened: std.ArrayList(ScopedCapability) = .empty; for ([_]capability_types.Scope{ .inherited, .agent, .run, .nested, .subagent }) |scope| { if (scope == .agent) { for (agent_capabilities, 0..) |capability, source_index| try flattened.append(allocator, .{ .capability = capability, .scope = .agent, .source_index = source_index, }); } else if (scope == .run) { for (run_capabilities, 0..) |capability, source_index| try flattened.append(allocator, .{ .capability = capability, .scope = .run, .source_index = source_index, }); } for (layers) |layer| { if (layer.scope != scope) continue; for (layer.capabilities, 0..) |capability, source_index| try flattened.append(allocator, .{ .capability = capability, .scope = scope, .source_index = source_index, }); } } return flattened.toOwnedSlice(allocator);}
fn normalizeAgentResponseParts( allocator: std.mem.Allocator, parts: []const ResponsePart,) ![]const ResponsePart { var requires_normalization = false; for (parts) |part| if (part == .capability_load_call) { requires_normalization = true; }; if (!requires_normalization) return parts; const normalized = try allocator.alloc(ResponsePart, parts.len); for (parts, normalized) |part, *result| result.* = switch (part) { .capability_load_call => |call| .{ .tool_call = .{ .id = call.call_id, .name = load_capability_tool_name, .arguments_json = try std.json.Stringify.valueAlloc( allocator, LoadCapabilityArguments{ .id = call.capability_id }, .{}, ), .tool_kind = .capability_load, } }, else => part, }; return normalized;}
fn activeCapabilityConfig( runtime: ?*CapabilityRuntime, allocator: std.mem.Allocator, agent: Agent,) !ActiveCapabilities { if (runtime) |configured| return configured.assemble(allocator, agent); return .{ .model = agent.model, .tools = agent.tools, .builtin_tools = agent.builtin_tools, .toolsets = agent.toolsets, .tool_policies = agent.tool_policies, .history_processors = agent.history_processors, .output_validators = agent.output_validators, .model_settings = .{}, };}
fn requireRunModel( profile: model_types.ModelProfile, has_system_prompt: bool, streaming: bool,) Agent.Error!void { if (streaming and !profile.supports_streaming) return Agent.Error.ModelDoesNotSupportStreaming; if (has_system_prompt and !profile.supports_system_messages) { return Agent.Error.ModelDoesNotSupportSystemMessages; }}
fn prepareAgentOutput( allocator: std.mem.Allocator, spec: output_types.Spec, profile: model_types.ModelProfile,) !output_types.Prepared { return output_types.prepare(allocator, spec, profile) catch |failure| switch (failure) { error.OutOfMemory => error.OutOfMemory, error.InvalidOutputSpec => Agent.Error.InvalidOutputSpec, error.JsonObjectOutputNotSupported => Agent.Error.ModelDoesNotSupportJsonObjectOutput, error.NativeOutputNotSupported => Agent.Error.ModelDoesNotSupportJsonSchemaOutput, error.PromptedOutputNotSupported => Agent.Error.ModelDoesNotSupportPromptedOutput, error.ToolOutputNotSupported => Agent.Error.ModelDoesNotSupportTools, };}
fn copyStrings(allocator: std.mem.Allocator, values: []const []const u8) ![]const []const u8 { const copied = try allocator.alloc([]const u8, values.len); for (values, copied) |value, *target| target.* = try allocator.dupe(u8, value); return copied;}
fn appendString( allocator: std.mem.Allocator, values: []const []const u8, value: []const u8,) ![]const []const u8 { const appended = try allocator.alloc([]const u8, values.len + 1); @memcpy(appended[0..values.len], values); appended[values.len] = value; return appended;}
fn hasDeferredToolCall(work: []const ToolWork) bool { for (work) |item| if (item.validation_failure == null and item.execution != .immediate) return true; return false;}
fn createPausedRun( arena: *std.heap.ArenaAllocator, allocator: std.mem.Allocator, prompt: []const u8, messages: []const Message, instructions: []const []const u8, usage: usage_types.RunUsage, model_requests: usize, total_tool_calls: usize, output_retries: usize, retry_entries: []const ToolRetryTracker.Entry, tools: []const model_types.Tool, parts: []const Part, work: []const ToolWork, pending_messages: []const Message,) !PausedRun { var calls: std.ArrayList(DeferredToolCall) = .empty; var resolved_calls: std.ArrayList(SerializedResolvedToolCall) = .empty; for (parts) |part| switch (part) { .tool_call => |call| { _ = findTool(tools, call.name) orelse continue; const resolved = findToolWork(work, call.id) orelse continue; const call_id = try allocator.dupe(u8, call.id); const name = try allocator.dupe(u8, call.name); const arguments_json = try allocator.dupe(u8, resolved.arguments_json); const saved = SerializedResolvedToolCall{ .call_id = call_id, .name = name, .arguments_json = arguments_json, .model_arguments_json = try allocator.dupe(u8, call.arguments_json), .execution = if (resolved.validation_failure != null or resolved.retry_message != null) .immediate else resolved.execution, .retry_number = resolved.retry_number, }; try resolved_calls.append(allocator, saved); if (saved.execution != .immediate) try calls.append(allocator, .{ .call_id = call_id, .name = name, .arguments_json = arguments_json, .execution = saved.execution, }); }, else => {}, }; const paused_calls = try calls.toOwnedSlice(allocator); const saved_calls = try resolved_calls.toOwnedSlice(allocator); const retries = try allocator.alloc(SerializedToolRetry, retry_entries.len); for (retry_entries, retries) |entry, *retry| retry.* = .{ .name = entry.name, .count = entry.count, }; const history_json = try history.stringify(allocator, messages); const pending_history_json = if (pending_messages.len > 0) try history.stringify(allocator, pending_messages) else null; const state_json = try std.json.Stringify.valueAlloc(allocator, SerializedPause{ .version = 2, .prompt = prompt, .history_json = history_json, .instructions = instructions, .usage = usage, .model_requests = model_requests, .total_tool_calls = total_tool_calls, .output_retries = output_retries, .tool_retries = retries, .calls = saved_calls, .pending_history_json = pending_history_json, }, .{}); return .{ .arena = arena.*, .state_json = state_json, .calls = paused_calls, .usage = usage, .model_requests = model_requests, };}
fn executeResumedToolCalls( agent: Agent, tools: []const model_types.Tool, allocator: std.mem.Allocator, messages: []const Message, decisions: []const ResumeDecision, saved_calls: []const SerializedResolvedToolCall, tool_retries: *ToolRetryTracker, run_context: model_types.ToolRunContext, hooks: []const LifecycleHook,) !ToolCallBatch { if (messages.len == 0) return Agent.Error.InvalidDeferredState; const assistant = switch (messages[messages.len - 1]) { .response => |response| response, .request => return Agent.Error.InvalidDeferredState, }; var call_count: usize = 0; for (assistant.parts) |part| switch (part) { .tool_call => call_count += 1, else => {}, }; if (call_count == 0) return Agent.Error.InvalidDeferredState; for (decisions, 0..) |decision, index| { for (decisions[index + 1 ..]) |other| { if (std.mem.eql(u8, decision.call_id, other.call_id)) return Agent.Error.UnexpectedDeferredToolDecision; } var found = false; for (saved_calls) |saved| if (std.mem.eql(u8, saved.call_id, decision.call_id)) { found = saved.execution != .immediate; }; if (!found) return Agent.Error.UnexpectedDeferredToolDecision; } try validateDeferredCalls(tools, assistant.parts, saved_calls);
const results = try allocator.alloc(RequestPart, call_count); var follow_up_messages: std.ArrayList(model_types.RequestMessage) = .empty; var result_index: usize = 0; for (assistant.parts) |part| switch (part) { .tool_call => |call| { const tool_index = findToolIndex(tools, call.name) orelse return Agent.Error.UnknownTool; const tool = tools[tool_index]; const saved = saved_calls[result_index]; try emitLifecycle(hooks, .{ .tool_validation_start = .{ .call = call } }); toolRunControl(run_context).invoke( void, validateToolArguments, .{ tool, allocator, saved.arguments_json }, ) catch |failure| { try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = failure } }); // kcov-ignore const work = ToolWork{ .call = call, .tool_index = tool_index, .arguments_json = saved.arguments_json, .execution = saved.execution, .retry_number = saved.retry_number, .validation_failure = failure, }; const processed = try toolResult( agent, tools, allocator, work, tool_retries, .{ .failure = failure }, ); results[result_index] = .{ .tool_return = processed.result }; try follow_up_messages.appendSlice(allocator, processed.follow_up_messages); result_index += 1; continue; }; try emitLifecycle(hooks, .{ .tool_validation_end = .{ .call = call, .tool = tool } });
switch (saved.execution) { .immediate => { try emitLifecycle(hooks, .{ .tool_execution_start = .{ .call = call, .tool = tool } }); const outcome = executeToolWorkControlled( agent.io, tool, effectiveToolLimits(agent.tool_limits, tool.limits), allocator, run_context, .{ .call = call, .tool_index = tool_index, .arguments_json = saved.arguments_json, .execution = saved.execution, .retry_number = saved.retry_number, }, agent.tool_policies, ); try emitToolOutcome(hooks, tool, call, outcome); const processed = try toolResult( agent, tools, allocator, .{ .call = call, .tool_index = tool_index, .arguments_json = saved.arguments_json, .execution = saved.execution, .retry_number = saved.retry_number, }, tool_retries, outcome, ); results[result_index] = .{ .tool_return = processed.result }; try follow_up_messages.appendSlice(allocator, processed.follow_up_messages); }, .requires_approval => { const approved = try requireResumeDecision(decisions, call.id); switch (approved.action) { .approve => { try emitLifecycle(hooks, .{ .tool_execution_start = .{ .call = call, .tool = tool } }); const outcome = executeToolWorkControlled( agent.io, tool, effectiveToolLimits(agent.tool_limits, tool.limits), allocator, run_context, .{ .call = call, .tool_index = tool_index, .arguments_json = saved.arguments_json, .execution = saved.execution, .retry_number = saved.retry_number, }, agent.tool_policies, ); try emitToolOutcome(hooks, tool, call, outcome); const processed = try toolResult( agent, tools, allocator, .{ .call = call, .tool_index = tool_index, .arguments_json = saved.arguments_json, .execution = saved.execution, .retry_number = saved.retry_number, }, tool_retries, outcome, ); results[result_index] = .{ .tool_return = processed.result }; try follow_up_messages.appendSlice(allocator, processed.follow_up_messages); }, .deny => results[result_index] = .{ .tool_return = .{ .call_id = call.id, .name = call.name, .content = approved.content orelse "Tool call denied by reviewer.", .is_error = true, } }, .result => results[result_index] = .{ .tool_return = .{ .call_id = call.id, .name = call.name, .content = approved.content orelse "", .is_error = approved.is_error, } }, } }, .external => { const supplied = try requireResumeDecision(decisions, call.id); switch (supplied.action) { .approve => return Agent.Error.DeferredToolRequiresResult, .deny => results[result_index] = .{ .tool_return = .{ .call_id = call.id, .name = call.name, .content = supplied.content orelse "Tool call denied by reviewer.", .is_error = true, } }, .result => results[result_index] = .{ .tool_return = .{ .call_id = call.id, .name = call.name, .content = supplied.content orelse "", .is_error = supplied.is_error, } }, } }, } result_index += 1; }, else => {}, }; return .{ .parts = results, .follow_up_messages = try follow_up_messages.toOwnedSlice(allocator), };}
fn validateDeferredCalls( tools: []const model_types.Tool, parts: []const Part, saved_calls: []const SerializedResolvedToolCall,) !void { var saved_index: usize = 0; for (parts) |part| switch (part) { .tool_call => |call| { _ = findTool(tools, call.name) orelse return Agent.Error.UnknownTool; if (saved_index >= saved_calls.len) return Agent.Error.InvalidDeferredState; const saved = saved_calls[saved_index]; if (!std.mem.eql(u8, saved.call_id, call.id) or !std.mem.eql(u8, saved.name, call.name) or !std.mem.eql(u8, saved.model_arguments_json, call.arguments_json)) { return Agent.Error.InvalidDeferredState; } saved_index += 1; }, else => {}, }; if (saved_index != saved_calls.len) return Agent.Error.InvalidDeferredState;}
fn requireResumeDecision(decisions: []const ResumeDecision, call_id: []const u8) Agent.Error!ResumeDecision { for (decisions) |decision| { if (std.mem.eql(u8, decision.call_id, call_id)) return decision; } return Agent.Error.MissingDeferredToolDecision;}
fn withTypedOutput(agent: Agent, comptime Output: type) Agent { var configured = agent; configured.output = .{ .json_schema = .{ .name = "response", .schema = reflect.schemaOf(Output), } }; return configured;}
fn typedOutputValidator(comptime Output: type) OutputValidator { const Wrapper = struct { var placeholder: u8 = 0;
fn validate(_: *anyopaque, allocator: std.mem.Allocator, output: []const u8) !void { _ = try json_limits.parseLeaky( Output, allocator, output, json_limits.defaults.tool_payload, .{ .ignore_unknown_fields = false }, Agent.Error.InvalidTypedOutput, ); } }; return .{ .context = &Wrapper.placeholder, .validateFn = Wrapper.validate };}
const ValidationAttempt = union(enum) { accepted: []const u8, retry: struct { message: []const u8, failure: ?anyerror = null, },};
const schema_retry_message = "The previous response did not match the required output schema. " ++ "Return only valid JSON matching the schema.";
fn validateFinalOutput( allocator: std.mem.Allocator, output_format: model_types.OutputFormat, validate_locally: bool, initial_output: []const u8, output_name: ?[]const u8, validators: []const output_types.Validator, run_context: output_types.RunContext, typed_validator: ?OutputValidator,) !ValidationAttempt { if (validate_locally) json_schema.validate(allocator, output_format, initial_output) catch |failure| { if (failure == error.OutOfMemory) return failure; return .{ .retry = .{ .message = schema_retry_message, .failure = failure } }; }; var output = initial_output; for (validators) |validator| { const result = try run_context.control.invoke( output_types.ValidatorResult, invokeConfiguredOutputValidator, .{ validator, allocator, run_context, output_name, output }, ); switch (result) { .output => |transformed| output = transformed, .retry => |message| return .{ .retry = .{ .message = message } }, } } if (output_format != .text and validators.len > 0) { json_schema.validate(allocator, output_format, output) catch |failure| { if (failure == error.OutOfMemory) return failure; return .{ .retry = .{ .message = schema_retry_message, .failure = failure } }; }; } if (typed_validator) |validator| validator.validate(allocator, output) catch |failure| { if (failure == error.OutOfMemory) return failure; return .{ .retry = .{ .message = schema_retry_message, .failure = failure } }; }; return .{ .accepted = output };}
fn invokeConfiguredOutputValidator( validator: output_types.Validator, allocator: std.mem.Allocator, run_context: output_types.RunContext, output_name: ?[]const u8, output: []const u8,) !output_types.ValidatorResult { return validator.validate(allocator, run_context, output_name, output);}
const SelectedOutput = struct { name: []const u8, output: []const u8, structured_format: model_types.OutputFormat,};
const OutputAttempt = union(enum) { selected: SelectedOutput, retry: struct { message: []const u8, failure: ?anyerror = null, },};
fn processOutputCall( allocator: std.mem.Allocator, prepared: output_types.PreparedChoice, call: model_types.ToolCall, run_context: output_types.RunContext, validators: []const output_types.Validator, hooks: []const LifecycleHook, retry_number: usize, max_retries: usize,) !OutputAttempt { const arguments = output_types.decodeToolArguments(allocator, prepared, call.arguments_json) catch |failure| { if (failure == error.OutOfMemory) return failure; return .{ .retry = .{ .message = "The output arguments did not match this tool's schema. Correct them and try again.", .failure = failure, } }; }; const selected: SelectedOutput = if (prepared.choice.function) |function| selected: { const result = try run_context.control.invoke( output_types.FunctionResult, invokeOutputFunction, .{ function, allocator, run_context, arguments }, ); break :selected switch (result) { .output => |output| .{ .name = prepared.choice.name, .output = output, .structured_format = .text, }, .retry => |message| return .{ .retry = .{ .message = message } }, }; } else .{ .name = prepared.choice.name, .output = arguments, .structured_format = .{ .json_schema = .{ .name = prepared.choice.name, .schema = prepared.choice.schema, .strict = prepared.choice.strict, } }, }; try emitLifecycle(hooks, .{ .output_validation_start = .{ .output = selected.output, .retry_number = retry_number, } }); const validation = validateFinalOutput( allocator, selected.structured_format, selected.structured_format != .text, selected.output, selected.name, validators, run_context, null, ) catch |failure| { try emitLifecycle(hooks, .{ .output_validation_error = .{ .output = selected.output, .failure = failure, .retry_number = retry_number, .will_retry = false, } }); return failure; }; return switch (validation) { .accepted => |validated| accepted: { try emitLifecycle(hooks, .{ .output_validation_end = .{ .output = validated, .retry_number = retry_number, } }); break :accepted .{ .selected = .{ .name = selected.name, .output = validated, .structured_format = selected.structured_format, } }; }, .retry => |retry| retry_result: { try emitLifecycle(hooks, .{ .output_validation_error = .{ .output = selected.output, .failure = retry.failure orelse error.OutputValidationRetry, .retry_number = retry_number, .will_retry = retry_number < max_retries, } }); break :retry_result .{ .retry = .{ .message = retry.message, .failure = retry.failure, } }; }, };}
fn invokeOutputFunction( function: output_types.Function, allocator: std.mem.Allocator, run_context: output_types.RunContext, arguments: []const u8,) !output_types.FunctionResult { return function.call(allocator, run_context, arguments);}
fn outputToolResult( call: model_types.ToolCall, content: []const u8, outcome: model_types.ToolOutcome,) RequestPart { return .{ .tool_return = .{ .call_id = call.id, .name = call.name, .content = content, .tool_kind = call.tool_kind, .outcome = outcome, } };}
fn consumeOutputRetry(maximum: usize, used: *usize, failure: ?anyerror) !void { if (used.* >= maximum) { if (failure) |cause| return cause; return Agent.Error.OutputRetriesExceeded; } used.* += 1;}
fn ensureNoOutputToolConflicts( tools: []const model_types.Tool, choices: []const output_types.PreparedChoice,) Agent.Error!void { for (tools) |tool| for (choices) |choice| { if (std.mem.eql(u8, tool.definition.name, choice.choice.name)) return Agent.Error.DuplicateToolName; };}
fn structuredOutputSnapshot( allocator: std.mem.Allocator, output_format: model_types.OutputFormat, output: []const u8,) !?std.json.Value { return switch (output_format) { .text => null, .json_object, .json_schema => try json_limits.parseLeaky( std.json.Value, allocator, output, json_limits.defaults.tool_payload, .{}, Agent.Error.InvalidStructuredOutput, ), };}
fn decodeTypedResult(comptime Output: type, untyped: Agent.Result) !TypedResult(Output) { var owned = untyped; errdefer owned.deinit(); const output = try json_limits.parseLeaky( Output, owned.arena.allocator(), owned.output, json_limits.defaults.tool_payload, .{ .ignore_unknown_fields = false }, Agent.Error.InvalidTypedOutput, ); return .{ .arena = owned.arena, .output = output, .output_json = owned.output, .output_name = owned.output_name, .messages = owned.messages, .usage = owned.usage, .model_requests = owned.model_requests, .finish_reason = owned.finish_reason, };}
const ToolWork = struct { call: model_types.ToolCall, tool_index: usize, arguments_json: []const u8, execution: model_types.ToolExecution, retry_number: usize = 0, validation_failure: ?anyerror = null, retry_message: ?[]const u8 = null,};
const ToolOutcome = union(enum) { success: model_types.ToolOutput, retry: []const u8, failure: anyerror,};
const ToolTaskState = enum { pending, running, complete,};
const ExecutedTool = struct { content: []const u8, is_error: bool, follow_up_messages: []const model_types.RequestMessage = &.{},};
const ProcessedTool = struct { result: model_types.ToolResult, follow_up_messages: []const model_types.RequestMessage = &.{},};
const ToolCallBatch = struct { parts: []RequestPart, follow_up_messages: []const model_types.RequestMessage = &.{},};
fn resolveToolCalls( tools: []const model_types.Tool, allocator: std.mem.Allocator, response_parts: []const Part, call_count: usize, prepared_output: output_types.Prepared, tool_retries: *const ToolRetryTracker, run_context: model_types.ToolRunContext, policies: []const tool_policy.Policy, hooks: []const LifecycleHook,) ![]const ToolWork { const work = try allocator.alloc(ToolWork, call_count); var work_index: usize = 0; for (response_parts) |part| switch (part) { .tool_call => |call| { if (prepared_output.findToolChoice(call.name) != null) continue; try emitLifecycle(hooks, .{ .tool_validation_start = .{ .call = call } }); const tool_index = findToolIndex(tools, call.name) orelse { try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = Agent.Error.UnknownTool, } }); return Agent.Error.UnknownTool; }; const tool = tools[tool_index]; work[work_index] = .{ .call = call, .tool_index = tool_index, .arguments_json = call.arguments_json, .execution = tool.execution, .retry_number = tool_retries.current(call.name), }; toolRunControl(run_context).invoke( void, validateToolArgumentJson, .{ tool, allocator, call.arguments_json }, ) catch |failure| { work[work_index].validation_failure = failure; try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = failure } }); work_index += 1; continue; }; var arguments = tool_policy.Arguments{ .context = policyCallContext(run_context, call, tool, work[work_index].retry_number, false), .arguments_json = call.arguments_json, }; applyToolPolicies(toolRunControl(run_context), policies, allocator, .{ .arguments = &arguments }) catch |failure| { try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = failure } }); return failure; }; work[work_index].arguments_json = arguments.arguments_json; if (arguments.retry_message) |message| { work[work_index].retry_message = message; try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = error.ToolArgumentsRejected, } }); work_index += 1; continue; } toolRunControl(run_context).invoke( void, validateToolArguments, .{ tool, allocator, arguments.arguments_json }, ) catch |failure| { work[work_index].validation_failure = failure; try emitLifecycle(hooks, .{ .tool_validation_error = .{ .call = call, .failure = failure } }); work_index += 1; continue; }; try emitLifecycle(hooks, .{ .tool_validation_end = .{ .call = call, .tool = tool } }); var approval = tool_policy.Approval{ .context = arguments.context, .arguments_json = arguments.arguments_json, .execution = tool.execution, }; try applyToolPolicies(toolRunControl(run_context), policies, allocator, .{ .approval = &approval }); work[work_index].execution = approval.execution; work_index += 1; }, else => {}, }; std.debug.assert(work_index == call_count); return work;}
fn findToolWork(work: []const ToolWork, call_id: []const u8) ?ToolWork { for (work) |item| if (std.mem.eql(u8, item.call.id, call_id)) return item; return null;}
fn policyCallContext( run_context: model_types.ToolRunContext, call: model_types.ToolCall, tool: model_types.Tool, retry_number: usize, approved: bool,) tool_policy.CallContext { return .{ .run = .{ .messages = run_context.messages, .usage = run_context.usage, .model_requests = run_context.model_requests, .dependencies = run_context.dependencies, .capabilities = run_context.capabilities, .control = toolRunControl(run_context), }, .call = call, .tool = tool, .retry_number = retry_number, .approved = approved, };}
fn executeToolCalls( agent: Agent, tools: []const model_types.Tool, allocator: std.mem.Allocator, work: []const ToolWork, tool_retries: *ToolRetryTracker, run_context: model_types.ToolRunContext, policies: []const tool_policy.Policy, hooks: []const LifecycleHook,) !ToolCallBatch { const call_count = work.len; const result_parts = try allocator.alloc(RequestPart, call_count); if (call_count == 1) { try toolRunControl(run_context).check(); const limits = effectiveToolLimits(agent.tool_limits, tools[work[0].tool_index].limits); const outcome: ToolOutcome = if (work[0].retry_message) |message| .{ .retry = message } else if (work[0].validation_failure) |failure| .{ .failure = failure } else execute: { try emitLifecycle(hooks, .{ .tool_execution_start = .{ .call = work[0].call, .tool = tools[work[0].tool_index], } }); const executed = executeToolWorkControlled( agent.io, tools[work[0].tool_index], limits, allocator, run_context, work[0], policies, ); try emitToolOutcome(hooks, tools[work[0].tool_index], work[0].call, executed); break :execute executed; }; const processed = try toolResult( agent, tools, allocator, work[0], tool_retries, outcome, ); result_parts[0] = .{ .tool_return = processed.result }; return .{ .parts = result_parts, .follow_up_messages = processed.follow_up_messages }; }
const io = agent.io orelse return Agent.Error.ParallelToolCallsRequireIo; var locked_allocator = LockedAllocator{ .child = allocator, .io = io }; const concurrent_allocator = locked_allocator.allocator(); const futures = try allocator.alloc(?std.Io.Future(ToolOutcome), call_count); @memset(futures, null); const outcomes = try allocator.alloc(ToolOutcome, call_count); const states = try allocator.alloc(ToolTaskState, call_count); const admitted_per_tool = try allocator.alloc(usize, tools.len); @memset(admitted_per_tool, 0); var admitted: usize = 0; var completed: usize = 0; // kcov-ignore const global_capacity = agent.tool_limits.max_concurrency +| agent.tool_limits.max_queue_size; for (work, states, outcomes) |item, *state, *outcome| { if (item.retry_message) |message| { outcome.* = .{ .retry = message }; state.* = .complete; completed += 1; continue; } else if (item.validation_failure) |failure| { outcome.* = .{ .failure = failure }; state.* = .complete; completed += 1; continue; } const limits = effectiveToolLimits(agent.tool_limits, tools[item.tool_index].limits); if (admitted >= global_capacity or admitted_per_tool[item.tool_index] >= executionCapacity(limits)) { outcome.* = .{ .failure = Agent.Error.ToolQueueOverflow }; state.* = .complete; completed += 1; try emitToolOutcome(hooks, tools[item.tool_index], item.call, outcome.*); continue; } admitted += 1; admitted_per_tool[item.tool_index] += 1; state.* = .pending; }
errdefer { for (futures) |*slot| { if (slot.*) |*future| _ = future.cancel(io); } } var running: usize = 0; while (completed < call_count) { try toolRunControl(run_context).check(); for (work, states, futures) |item, *state, *future| { if (state.* != .pending or running >= agent.tool_limits.max_concurrency) continue; if (runningSequentialTool(tools, work, states)) continue; if (tools[item.tool_index].sequential and running != 0) continue; const limits = effectiveToolLimits(agent.tool_limits, tools[item.tool_index].limits); if (runningCallsForTool(work, states, item.tool_index) >= limits.max_concurrency) continue; try emitLifecycle(hooks, .{ .tool_execution_start = .{ .call = item.call, .tool = tools[item.tool_index], } }); future.* = io.concurrent(executeToolWorkControlled, .{ @as(?std.Io, io), tools[item.tool_index], limits, concurrent_allocator, run_context, item, policies, }) catch return Agent.Error.ToolConcurrencyUnavailable; state.* = .running; running += 1; }
var next: ?usize = null; for (states, 0..) |state, index| if (state == .running) { next = index; break; }; const index = next orelse return Agent.Error.ToolQueueOverflow; outcomes[index] = futures[index].?.await(io); states[index] = .complete; running -= 1; completed += 1; try emitToolOutcome(hooks, tools[work[index].tool_index], work[index].call, outcomes[index]); if (outcomes[index] == .failure and !tools[work[index].tool_index].isRecoverable(outcomes[index].failure)) return outcomes[index].failure; } try toolRunControl(run_context).check(); var follow_up_messages: std.ArrayList(model_types.RequestMessage) = .empty; for (work, outcomes, result_parts) |item, outcome, *result_part| { const processed = try toolResult( agent, tools, allocator, item, tool_retries, outcome, ); result_part.* = .{ .tool_return = processed.result }; try follow_up_messages.appendSlice(allocator, processed.follow_up_messages); } return .{ .parts = result_parts, .follow_up_messages = try follow_up_messages.toOwnedSlice(allocator), };}
fn executionCapacity(limits: model_types.ToolLimits) usize { if (limits.max_concurrency == 0) return 0; return limits.max_concurrency +| limits.max_queue_size;}
fn effectiveToolLimits(agent_limits: model_types.ToolLimits, tool_limits: ?model_types.ToolLimits) model_types.ToolLimits { const tool = tool_limits orelse return agent_limits; return .{ .timeout_ms = earliestTimeout(agent_limits.timeout_ms, tool.timeout_ms), .max_concurrency = @min(agent_limits.max_concurrency, tool.max_concurrency), .max_queue_size = @min(agent_limits.max_queue_size, tool.max_queue_size), .max_result_bytes = @min(agent_limits.max_result_bytes, tool.max_result_bytes), .max_follow_up_messages = @min(agent_limits.max_follow_up_messages, tool.max_follow_up_messages), .max_follow_up_bytes = @min(agent_limits.max_follow_up_bytes, tool.max_follow_up_bytes), };}
fn earliestTimeout(agent_timeout: ?u64, tool_timeout: ?u64) ?u64 { if (agent_timeout) |agent_value| { if (tool_timeout) |tool_value| return @min(agent_value, tool_value); return agent_value; } return tool_timeout;}
fn runningCallsForTool(work: []const ToolWork, states: []const ToolTaskState, tool_index: usize) usize { var count: usize = 0; for (work, states) |item, state| { if (state == .running and item.tool_index == tool_index) count += 1; } return count;}
fn runningSequentialTool( tools: []const model_types.Tool, work: []const ToolWork, states: []const ToolTaskState,) bool { for (work, states) |item, state| { if (state == .running and tools[item.tool_index].sequential) return true; } return false;}
fn emitToolOutcome( hooks: []const LifecycleHook, tool: model_types.Tool, call: model_types.ToolCall, outcome: ToolOutcome,) !void { switch (outcome) { .success => |output| try emitLifecycle(hooks, .{ .tool_execution_end = .{ .call = call, .content = output.content, } }), .failure => |failure| try emitLifecycle(hooks, .{ .tool_execution_error = .{ .call = call, .failure = failure, .recoverable = tool.isRecoverable(failure), } }), .retry => try emitLifecycle(hooks, .{ .tool_execution_error = .{ .call = call, .failure = Agent.Error.ToolPolicyRetry, .recoverable = true, } }), }}
fn executeToolWork( tool: model_types.Tool, limits: model_types.ToolLimits, allocator: std.mem.Allocator, run_context: model_types.ToolRunContext, work: ToolWork, policies: []const tool_policy.Policy,) ToolOutcome { toolRunControl(run_context).check() catch |failure| return .{ .failure = failure }; var call = tool_policy.Call{ .context = policyCallContext( run_context, work.call, tool, work.retry_number, work.execution == .requires_approval, ), .arguments_json = work.arguments_json, }; tool_policy.applyAll(policies, allocator, .{ .call = &call }) catch |failure| return .{ .failure = failure }; const output = call.output orelse tool.executeOutputWithContext( allocator, run_context, call.arguments_json, ) catch |failure| return .{ .failure = failure }; var returned = tool_policy.Return{ .context = call.context, .arguments_json = call.arguments_json, .output = output, }; tool_policy.applyAll(policies, allocator, .{ .return_value = &returned }) catch |failure| return .{ .failure = failure }; if (returned.retry_message) |message| return .{ .retry = message }; validateToolOutput(returned.output, limits) catch |failure| return .{ .failure = failure }; return .{ .success = returned.output };}
fn validateToolArguments( tool: model_types.Tool, allocator: std.mem.Allocator, arguments_json: []const u8,) !void { return tool.validate(allocator, arguments_json);}
fn validateToolArgumentJson( tool: model_types.Tool, allocator: std.mem.Allocator, arguments_json: []const u8,) !void { return tool.validateJson(allocator, arguments_json);}
fn toolRunControl(context: model_types.ToolRunContext) model_types.RunControl { return .{ .io = context.io, .cancellation = context.cancellation, .deadline = context.deadline, };}
const ToolControlOutcome = union(enum) { tool: ToolOutcome, timeout: anyerror!void, deadline: anyerror!void, cancelled: anyerror!void,};
fn executeToolWorkControlled( maybe_io: ?std.Io, tool: model_types.Tool, limits: model_types.ToolLimits, allocator: std.mem.Allocator, run_context: model_types.ToolRunContext, work: ToolWork, policies: []const tool_policy.Policy,) ToolOutcome { if (limits.max_concurrency == 0) return .{ .failure = Agent.Error.ToolQueueOverflow }; if (limits.timeout_ms == null and run_context.cancellation == null and run_context.deadline == null) return executeToolWork(tool, limits, allocator, run_context, work, policies); const io = maybe_io orelse return .{ .failure = Agent.Error.ToolIsolationRequiresIo }; var buffer: [4]ToolControlOutcome = undefined; var select: std.Io.Select(ToolControlOutcome) = .init(io, &buffer); defer select.cancelDiscard(); select.concurrent(.tool, executeToolWork, .{ tool, limits, allocator, run_context, work, policies }) catch return .{ .failure = Agent.Error.ToolConcurrencyUnavailable }; if (limits.timeout_ms) |milliseconds| select.concurrent(.timeout, waitForToolTimeout, .{ io, milliseconds }) catch return .{ .failure = Agent.Error.ToolConcurrencyUnavailable }; if (run_context.deadline) |deadline| select.concurrent(.deadline, waitForToolDeadline, .{ io, deadline }) catch return .{ .failure = Agent.Error.ToolConcurrencyUnavailable }; if (run_context.cancellation) |token| select.concurrent(.cancelled, waitForToolCancellation, .{ io, token }) catch return .{ .failure = Agent.Error.ToolConcurrencyUnavailable }; const outcome = select.await() catch return .{ .failure = Agent.Error.Cancelled }; return switch (outcome) { .tool => |result| tool_result: { toolRunControl(run_context).check() catch |failure| break :tool_result .{ .failure = failure }; break :tool_result result; }, .timeout => |result| timeout: { result catch return .{ .failure = Agent.Error.Cancelled }; break :timeout .{ .failure = Agent.Error.ToolTimedOut }; }, .deadline => |result| deadline: { result catch return .{ .failure = Agent.Error.Cancelled }; break :deadline .{ .failure = Agent.Error.RunTimedOut }; }, .cancelled => |result| cancelled: { result catch return .{ .failure = Agent.Error.Cancelled }; break :cancelled .{ .failure = Agent.Error.Cancelled }; }, };}
fn waitForToolTimeout(io: std.Io, milliseconds: u64) !void { const maximum: u64 = @intCast(std.math.maxInt(i64)); return toolTimeout(@min(milliseconds, maximum)).sleep(io); // kcov-ignore}
fn waitForToolDeadline(io: std.Io, deadline: std.Io.Clock.Timestamp) !void { return deadline.wait(io);}
fn waitForToolCancellation(io: std.Io, token: *const CancellationToken) !void { while (!token.isCancelled()) try toolTimeout(5).sleep(io);}
fn toolTimeout(milliseconds: u64) std.Io.Timeout { return .{ .duration = .{ .raw = .fromMilliseconds(@intCast(milliseconds)), .clock = .awake, } };}
fn validateToolOutput(output: model_types.ToolOutput, limits: model_types.ToolLimits) Agent.Error!void { if (output.content.len > limits.max_result_bytes) return Agent.Error.ToolResultTooLarge; if (output.follow_up_messages.len > limits.max_follow_up_messages) return Agent.Error.ToolFollowUpOverflow; var total: usize = 0; for (output.follow_up_messages) |message| { for (message.instruction_parts) |instruction| { if (!consumeBoundedBytes(&total, limits.max_follow_up_bytes, instruction.content.len)) return Agent.Error.ToolFollowUpOverflow; } if (!consumeFollowUpBytes(&total, limits.max_follow_up_bytes, message.instructions)) return Agent.Error.ToolFollowUpOverflow; if (!consumeFollowUpBytes(&total, limits.max_follow_up_bytes, message.run_id)) return Agent.Error.ToolFollowUpOverflow; if (!consumeFollowUpBytes(&total, limits.max_follow_up_bytes, message.conversation_id)) return Agent.Error.ToolFollowUpOverflow; for (message.metadata) |metadata| { if (!consumeBoundedBytes(&total, limits.max_follow_up_bytes, metadata.key.len) or !consumeBoundedBytes(&total, limits.max_follow_up_bytes, metadata.value.len)) return Agent.Error.ToolFollowUpOverflow; } for (message.parts) |part| if (!consumeRequestPartBytes(&total, limits.max_follow_up_bytes, part)) return Agent.Error.ToolFollowUpOverflow; }}
fn consumeFollowUpBytes(total: *usize, limit: usize, value: ?[]const u8) bool { return consumeBoundedBytes(total, limit, if (value) |bytes| bytes.len else 0);}
fn consumeRequestPartBytes(total: *usize, limit: usize, part: RequestPart) bool { return switch (part) { .system_prompt, .retry_prompt => |text| consumeBoundedBytes(total, limit, text.len), .system_prompt_part => |prompt| consumeBoundedBytes(total, limit, prompt.content.len) and consumeFollowUpBytes(total, limit, prompt.dynamic_ref), .user_prompt => |prompt| consumeUserContentBytes(total, limit, prompt), .user_prompt_part => |prompt| consumeUserContentBytes(total, limit, prompt.content), .speech => |speech| consumeSpeechBytes(total, limit, speech), .tool_search_return => |result| consumeToolSearchResultBytes(total, limit, result), .capability_load_return => |result| consumeBoundedBytes(total, limit, result.call_id.len) and consumeFollowUpBytes(total, limit, result.instructions) and consumeMetadataBytes(total, limit, result.metadata), .tool_return => |result| consumeToolResultBytes(total, limit, result), .retry_prompt_part => |prompt| consumeBoundedBytes(total, limit, prompt.content.len) and consumeFollowUpBytes(total, limit, prompt.tool_name) and consumeFollowUpBytes(total, limit, prompt.tool_call_id), .tool_availability_delta => |delta| blk: { for (delta.tools_added) |name| if (!consumeBoundedBytes(total, limit, name.len)) break :blk false; break :blk consumeFollowUpBytes(total, limit, delta.tool_call_id); }, };}
fn consumeUserContentBytes(total: *usize, limit: usize, prompt: PromptPart) bool { return switch (prompt) { .text => |text| consumeBoundedBytes(total, limit, text.len), .text_content => |text| consumeBoundedBytes(total, limit, text.content.len) and consumeMetadataBytes(total, limit, text.metadata), .image, .audio, .video, .document, .binary => |content| consumeContentBytes(total, limit, content), .uploaded_file => |file| consumeUploadedFileBytes(total, limit, file), .cache_point => true, };}
fn consumeToolResultBytes(total: *usize, limit: usize, result: model_types.ToolResult) bool { if (!consumeBoundedBytes(total, limit, result.call_id.len) or !consumeBoundedBytes(total, limit, result.name.len) or !consumeBoundedBytes(total, limit, result.content.len) or !consumeMetadataBytes(total, limit, result.metadata)) return false; for (result.files) |content| if (!consumeContentBytes(total, limit, content)) return false; return true;}
fn consumeToolSearchResultBytes(total: *usize, limit: usize, result: model_types.ToolSearchResult) bool { if (!consumeBoundedBytes(total, limit, result.call_id.len) or !consumeFollowUpBytes(total, limit, result.message) or !consumeMetadataBytes(total, limit, result.metadata)) return false; for (result.discovered_tools) |tool| if (!consumeBoundedBytes(total, limit, tool.name.len)) return false; return true;}
fn consumeSpeechBytes(total: *usize, limit: usize, speech: model_types.SpeechPart) bool { return consumeFollowUpBytes(total, limit, speech.transcript) and (if (speech.audio) |audio| consumeContentBytes(total, limit, audio) else true);}
fn consumeUploadedFileBytes(total: *usize, limit: usize, file: model_types.UploadedFile) bool { return consumeBoundedBytes(total, limit, file.id.len) and consumeBoundedBytes(total, limit, file.provider_name.len) and consumeFollowUpBytes(total, limit, file.media_type) and consumeMetadataBytes(total, limit, file.metadata);}
fn consumeMetadataBytes(total: *usize, limit: usize, metadata: []const model_types.Metadata) bool { for (metadata) |item| if (!consumeBoundedBytes(total, limit, item.key.len) or !consumeBoundedBytes(total, limit, item.value.len)) return false; return true;}
fn consumeContentBytes(total: *usize, limit: usize, content: model_types.Content) bool { const source_ok = switch (content.source) { .bytes, .url => |value| consumeBoundedBytes(total, limit, value.len), .provider_file => |file| consumeBoundedBytes(total, limit, file.id.len) and consumeFollowUpBytes(total, limit, file.provider), .uploaded_file => |file| consumeUploadedFileBytes(total, limit, file), }; if (!source_ok or !consumeBoundedBytes(total, limit, content.media_type.len) or !consumeFollowUpBytes(total, limit, content.filename) or !consumeFollowUpBytes(total, limit, content.identifier) or !consumeFollowUpBytes(total, limit, content.thought_signature)) return false; if (!consumeFollowUpBytes(total, limit, content.provider.id) or !consumeFollowUpBytes(total, limit, content.provider.provider_name) or !consumeProviderDetailsBytes(total, limit, content.provider.provider_details)) return false; for (content.metadata) |metadata| { if (!consumeBoundedBytes(total, limit, metadata.key.len) or !consumeBoundedBytes(total, limit, metadata.value.len)) return false; } return true;}
fn consumeProviderDetailsBytes( total: *usize, limit: usize, details: ?model_types.ProviderDetails,) bool { return consumeJsonValueBytes(total, limit, if (details) |value| value.value else return true);}
fn consumeJsonValueBytes(total: *usize, limit: usize, value: std.json.Value) bool { return switch (value) { .null => consumeBoundedBytes(total, limit, 4), .bool => |item| consumeBoundedBytes(total, limit, if (item) 4 else 5), .integer => consumeBoundedBytes(total, limit, 20), .float => consumeBoundedBytes(total, limit, 32), .number_string => |item| consumeBoundedBytes(total, limit, item.len), .string => |item| consumeJsonStringBytes(total, limit, item), .array => |items| blk: { if (!consumeBoundedBytes(total, limit, 2)) break :blk false; for (items.items, 0..) |item, index| { if ((index > 0 and !consumeBoundedBytes(total, limit, 1)) or !consumeJsonValueBytes(total, limit, item)) break :blk false; } break :blk true; }, .object => |items| blk: { if (!consumeBoundedBytes(total, limit, 2)) break :blk false; var iterator = items.iterator(); var index: usize = 0; while (iterator.next()) |entry| { if ((index > 0 and !consumeBoundedBytes(total, limit, 1)) or !consumeJsonStringBytes(total, limit, entry.key_ptr.*) or !consumeBoundedBytes(total, limit, 1) or !consumeJsonValueBytes(total, limit, entry.value_ptr.*)) break :blk false; index += 1; } break :blk true; }, };}
fn consumeJsonStringBytes(total: *usize, limit: usize, value: []const u8) bool { if (!consumeBoundedBytes(total, limit, 2)) return false; for (value) |byte| { const encoded_len: usize = if (byte == '"' or byte == '\\') 2 else if (byte < 0x20) 6 else 1; if (!consumeBoundedBytes(total, limit, encoded_len)) return false; } return true;}
fn consumeBoundedBytes(total: *usize, limit: usize, amount: usize) bool { if (amount > limit -| total.*) return false; total.* += amount; return true;}
fn toolResult( agent: Agent, tools: []const model_types.Tool, allocator: std.mem.Allocator, work: ToolWork, tool_retries: *ToolRetryTracker, outcome: ToolOutcome,) !ProcessedTool { const tool = tools[work.tool_index]; const executed: ExecutedTool = switch (outcome) { .success => |output| .{ .content = output.content, .is_error = false, .follow_up_messages = output.follow_up_messages, }, .retry => |message| retry: { const retry_limit = tool.max_retries orelse agent.max_tool_retries; if (!try tool_retries.consume(work.call.name, retry_limit)) return Agent.Error.ToolPolicyRetry; break :retry .{ .content = message, .is_error = true }; }, .failure => |failure| recover: { if (!tool.isRecoverable(failure)) return failure; const retry_limit = tool.max_retries orelse agent.max_tool_retries; const retry_allowed = try tool_retries.consume(work.call.name, retry_limit); if (!retry_allowed) return failure; break :recover .{ .content = try std.fmt.allocPrint( allocator, "Tool {s} failed with {s}. Correct the arguments or approach and try again.", .{ work.call.name, @errorName(failure) }, ), .is_error = true, }; }, }; return .{ .result = .{ .call_id = work.call.id, .name = work.call.name, .content = executed.content, .tool_kind = work.call.tool_kind orelse if (std.mem.eql(u8, work.call.name, load_capability_tool_name)) .capability_load else null, .is_error = executed.is_error, }, .follow_up_messages = executed.follow_up_messages, };}
const LockedAllocator = struct { child: std.mem.Allocator, io: std.Io, mutex: std.Io.Mutex = .init,
fn allocator(self: *LockedAllocator) std.mem.Allocator { return .{ .ptr = self, .vtable = &vtable }; }
const vtable: std.mem.Allocator.VTable = .{ .alloc = alloc, .resize = resize, .remap = remap, .free = free, };
fn alloc(context: *anyopaque, len: usize, alignment: std.mem.Alignment, return_address: usize) ?[*]u8 { const self: *LockedAllocator = @ptrCast(@alignCast(context)); self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); return self.child.rawAlloc(len, alignment, return_address); }
fn resize( context: *anyopaque, memory: []u8, alignment: std.mem.Alignment, new_len: usize, return_address: usize, ) bool { const self: *LockedAllocator = @ptrCast(@alignCast(context)); self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); return self.child.rawResize(memory, alignment, new_len, return_address); }
fn remap( context: *anyopaque, memory: []u8, alignment: std.mem.Alignment, new_len: usize, return_address: usize, ) ?[*]u8 { const self: *LockedAllocator = @ptrCast(@alignCast(context)); self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); return self.child.rawRemap(memory, alignment, new_len, return_address); }
fn free(context: *anyopaque, memory: []u8, alignment: std.mem.Alignment, return_address: usize) void { const self: *LockedAllocator = @ptrCast(@alignCast(context)); self.mutex.lockUncancelable(self.io); defer self.mutex.unlock(self.io); self.child.rawFree(memory, alignment, return_address); }};
const PartialToolAccumulator = struct { index: usize, name: std.ArrayList(u8) = .empty, arguments: std.ArrayList(u8) = .empty,
fn deinit(self: *PartialToolAccumulator, allocator: std.mem.Allocator) void { self.name.deinit(allocator); self.arguments.deinit(allocator); }};
const ModelEventForwarder = struct { allocator: std.mem.Allocator, sink: ?AgentStreamSink, emitted: *bool, hooks: []const LifecycleHook, prepared_output: output_types.Prepared, validators: []const output_types.Validator, run_context: output_types.RunContext, max_tool_parts: usize, text: std.ArrayList(u8) = .empty, tool_parts: std.ArrayList(PartialToolAccumulator) = .empty,
fn deinit(self: *ModelEventForwarder) void { self.text.deinit(self.allocator); for (self.tool_parts.items) |*part| part.deinit(self.allocator); self.tool_parts.deinit(self.allocator); }
fn modelSink(self: *ModelEventForwarder) model_types.ModelStreamSink { return .{ .context = self, .eventFn = emit }; }
fn emit(context: *anyopaque, event: model_types.ModelStreamEvent) !void { const self: *ModelEventForwarder = @ptrCast(@alignCast(context)); self.emitted.* = true; try emitStreamEvent(self.hooks, self.sink.?, .{ .model = event }); switch (event) { .part_start => |started| switch (started.part) { .text => |content| try self.appendText(content), .text_part => |part| try self.appendText(part.content), .tool_call => |call| try self.appendTool(started.index, call.name, call.arguments_json), else => {}, }, .part_delta => |changed| switch (changed.delta) { .text => |delta| try self.appendText(delta.content_delta), .tool_call => |delta| try self.appendTool( changed.index, delta.name, delta.arguments_delta, ), else => {}, }, .part_end => |ended| switch (ended.part) { .text => |content| if (self.text.items.len == 0) try self.appendText(content), .text_part => |part| if (self.text.items.len == 0) try self.appendText(part.content), .tool_call => |call| { const accumulated = try self.toolPart(ended.index); if (accumulated.name.items.len == 0) try accumulated.name.appendSlice(self.allocator, call.name); if (accumulated.arguments.items.len == 0) { try accumulated.arguments.appendSlice(self.allocator, call.arguments_json); try self.emitToolPartial(accumulated); } }, else => {}, }, .usage => {}, } }
fn appendText(self: *ModelEventForwarder, content: []const u8) !void { if (content.len == 0 or self.prepared_output.requires_tool_output) return; try self.text.appendSlice(self.allocator, content); var scratch = std.heap.ArenaAllocator.init(self.allocator); defer scratch.deinit(); const event = try preparePartialOutput( scratch.allocator(), self.prepared_output.validation_format, self.text.items, null, self.validators, self.run_context, ) orelse return; try emitStreamEvent(self.hooks, self.sink.?, .{ .partial_output = event }); }
fn appendTool( self: *ModelEventForwarder, index: usize, name: ?[]const u8, arguments_delta: []const u8, ) !void { const accumulated = try self.toolPart(index); if (name) |value| if (accumulated.name.items.len == 0 or !std.mem.eql(u8, accumulated.name.items, value)) { accumulated.name.clearRetainingCapacity(); try accumulated.name.appendSlice(self.allocator, value); }; if (arguments_delta.len > 0) try accumulated.arguments.appendSlice(self.allocator, arguments_delta); if (accumulated.arguments.items.len > 0) try self.emitToolPartial(accumulated); }
fn toolPart(self: *ModelEventForwarder, index: usize) !*PartialToolAccumulator { for (self.tool_parts.items) |*part| if (part.index == index) return part; if (self.tool_parts.items.len >= self.max_tool_parts) return Agent.Error.MaxToolCallsExceeded; try self.tool_parts.append(self.allocator, .{ .index = index }); return &self.tool_parts.items[self.tool_parts.items.len - 1]; }
fn emitToolPartial(self: *ModelEventForwarder, accumulated: *PartialToolAccumulator) !void { const choice = self.prepared_output.findToolChoice(accumulated.name.items) orelse return; var scratch = std.heap.ArenaAllocator.init(self.allocator); defer scratch.deinit(); const memory = scratch.allocator(); var output = try output_types.decodePartialToolArguments( memory, choice, accumulated.arguments.items, ) orelse return; var format: model_types.OutputFormat = .{ .json_schema = .{ .name = choice.choice.name, .schema = choice.choice.schema, .strict = choice.choice.strict, } }; if (choice.choice.function) |function| { const result = try self.run_context.control.invoke( output_types.FunctionResult, invokeOutputFunction, .{ function, memory, self.run_context, output }, ); output = switch (result) { .output => |value| value, .retry => return, }; format = .text; } const event = try preparePartialOutput( memory, format, output, choice.choice.name, self.validators, self.run_context, ) orelse return; try emitStreamEvent(self.hooks, self.sink.?, .{ .partial_output = event }); }};
fn preparePartialOutput( allocator: std.mem.Allocator, output_format: model_types.OutputFormat, initial_output: []const u8, output_name: ?[]const u8, validators: []const output_types.Validator, run_context: output_types.RunContext,) !?PartialOutputEvent { var output = initial_output; var structured_output: ?std.json.Value = null; if (output_format != .text) { const partial = try json_schema.validatePartial(allocator, output_format, output) orelse return null; output = partial.json; structured_output = partial.value; } for (validators) |validator| { const result = try run_context.control.invoke( output_types.ValidatorResult, invokeConfiguredOutputValidator, .{ validator, allocator, run_context, output_name, output }, ); output = switch (result) { .output => |transformed| transformed, .retry => return null, }; } if (output_format != .text and validators.len > 0) { const partial = try json_schema.validatePartial(allocator, output_format, output) orelse return null; output = partial.json; structured_output = partial.value; } return .{ .output = output, .output_name = output_name, .structured_output = structured_output, };}
fn requestModel( model: model_types.Model, allocator: std.mem.Allocator, request: model_types.ModelRequest,) !model_types.ModelResponse { return model.request(allocator, request);}
fn streamModel( model: model_types.Model, allocator: std.mem.Allocator, request: model_types.ModelRequest, sink: model_types.ModelStreamSink,) !model_types.ModelResponse { return model.stream(allocator, request, sink);}
const ProviderErrorCapture = struct { target: ?model_types.ProviderErrorObserver, retry_after_seconds: ?u64 = null, rate_limit_remaining_requests: ?u64 = null, rate_limit_remaining_tokens: ?u64 = null, provider_request_id: ?transport.MetadataText = null,
fn reset(self: *ProviderErrorCapture) void { self.retry_after_seconds = null; self.rate_limit_remaining_requests = null; self.rate_limit_remaining_tokens = null; self.provider_request_id = null; }
fn observer(self: *ProviderErrorCapture) model_types.ProviderErrorObserver { return .{ .context = self, .observeFn = observe }; }
fn observe(context: *anyopaque, value: model_types.ProviderError) void { const self: *ProviderErrorCapture = @ptrCast(@alignCast(context)); self.retry_after_seconds = value.retry_after_seconds; self.rate_limit_remaining_requests = value.rate_limit_remaining_requests; self.rate_limit_remaining_tokens = value.rate_limit_remaining_tokens; self.provider_request_id = if (value.request_id) |request_id| transport.MetadataText.init(request_id) else null; if (self.target) |target| target.observe(value); }
fn requestId(self: *const ProviderErrorCapture) ?[]const u8 { if (self.provider_request_id) |*value| return value.slice(); return null; }};
fn prepareContext( arena: std.mem.Allocator, budget: context_budget.Budget, input: context_budget.Input, control: model_types.RunControl,) ![]const Message { if (!budget.isConfigured()) return input.messages; try control.check(); const snapshot = try contextSnapshot(budget, input, control); const overflow = budget.firstOverflow(input.settings, snapshot) orelse return input.messages; const hook = budget.on_overflow orelse return contextOverflowError(overflow.kind); const compacted = try control.invoke( []const Message, invokeContextOverflowHook, .{ hook, arena, context_budget.OverflowEvent{ .input = input, .snapshot = snapshot, .overflow = overflow, } }, ); var compacted_input = input; compacted_input.messages = compacted; const compacted_snapshot = try contextSnapshot(budget, compacted_input, control); const remaining = budget.firstOverflow(input.settings, compacted_snapshot) orelse return compacted; return contextOverflowError(remaining.kind);}
fn contextSnapshot( budget: context_budget.Budget, input: context_budget.Input, control: model_types.RunControl,) !context_budget.Snapshot { const bytes = context_budget.measure(input) catch return Agent.Error.ContextSizeOverflow; const estimated_input_tokens = if (budget.estimator) |estimator| try control.invoke(u64, invokeTokenEstimator, .{ estimator, input, bytes }) else context_budget.defaultEstimate(input, bytes) catch return Agent.Error.ContextSizeOverflow; return .{ .bytes = bytes, .estimated_input_tokens = estimated_input_tokens };}
fn invokeTokenEstimator( estimator: context_budget.TokenEstimator, input: context_budget.Input, bytes: context_budget.ByteUsage,) !u64 { return estimator.estimate(input, bytes);}
fn invokeContextOverflowHook( hook: context_budget.OverflowHook, arena: std.mem.Allocator, event: context_budget.OverflowEvent,) ![]const Message { return hook.compact(arena, event);}
fn contextOverflowError(kind: context_budget.Overflow.Kind) Agent.Error { return switch (kind) { .prompt_bytes => Agent.Error.ContextPromptTooLarge, .tool_bytes => Agent.Error.ContextToolsTooLarge, .schema_bytes => Agent.Error.ContextSchemaTooLarge, .media_bytes => Agent.Error.ContextMediaTooLarge, .input_tokens => Agent.Error.ContextTokenLimitExceeded, };}
fn checkCancellation(token: ?*const CancellationToken) Agent.Error!void { if (token) |value| if (value.isCancelled()) return Agent.Error.Cancelled; // kcov-ignore}
fn requireCapability(supported: bool, failure: Agent.Error) Agent.Error!void { if (!supported) return failure;}
fn requireModelSettings(profile: model_types.ModelProfile, settings: model_types.ModelSettings) Agent.Error!void { settings.validate() catch return Agent.Error.InvalidModelSettings; if (settings.temperature != null and !profile.supports_temperature) { return Agent.Error.ModelDoesNotSupportTemperature; } if (settings.max_tokens != null and !profile.supports_max_tokens) { return Agent.Error.ModelDoesNotSupportMaxTokens; } if (settings.stop_sequences != null and !profile.supports_stop_sequences) { return Agent.Error.ModelDoesNotSupportStopSequences; } if (settings.seed != null and !profile.supports_seed) return Agent.Error.ModelDoesNotSupportSeed; if (settings.reasoning_effort) |effort| { if (!profile.supportsReasoningEffort(effort)) return Agent.Error.ModelDoesNotSupportReasoningEffort; } if (settings.top_p != null and !profile.supports_top_p) return Agent.Error.ModelDoesNotSupportTopP; if (settings.top_k != null and !profile.supports_top_k) return Agent.Error.ModelDoesNotSupportTopK; if (settings.presence_penalty != null and !profile.supports_presence_penalty) { return Agent.Error.ModelDoesNotSupportPresencePenalty; } if (settings.frequency_penalty != null and !profile.supports_frequency_penalty) { return Agent.Error.ModelDoesNotSupportFrequencyPenalty; } if (settings.logprobs != null and !profile.supports_logprobs) return Agent.Error.ModelDoesNotSupportLogprobs; if (settings.tool_choice != null and !profile.supports_tool_choice) { return Agent.Error.ModelDoesNotSupportToolChoice; } if (settings.parallel_tool_calls != null and !profile.supports_parallel_tool_call_setting) { return Agent.Error.ModelDoesNotSupportParallelToolCallSetting; } if (settings.parallel_tool_calls == true and !profile.supports_parallel_tool_calls) { return Agent.Error.ModelDoesNotSupportParallelToolCallSetting; } if (settings.thinking_budget_tokens != null and !profile.supports_thinking_budget) { return Agent.Error.ModelDoesNotSupportThinkingBudget; } if (settings.service_tier) |tier| if (!profile.supportsServiceTier(tier)) return Agent.Error.ModelDoesNotSupportServiceTier; if (settings.truncation != null and !profile.supports_truncation) { return Agent.Error.ModelDoesNotSupportTruncation; } if (settings.extra_headers != null and !profile.supports_request_headers) { return Agent.Error.ModelDoesNotSupportRequestHeaders; } if (settings.extra_body) |body| { if (profile.extra_body_kind == null or profile.extra_body_kind.? != body.kind()) { return Agent.Error.ModelDoesNotSupportExtraBody; } }}
fn shouldRetry(err: anyerror, policy: Agent.RetryPolicy) bool { return switch (err) { error.ProviderConnectionError => policy.retry_connection_errors, error.ProviderResponseDecodeError => policy.retry_decode_errors, error.ProviderRateLimited => policy.retry_rate_limits, error.ProviderServerError => policy.retry_server_errors, error.RequestTimedOut => policy.retry_timeouts, else => false, };}
fn backoffDelayMilliseconds(io: std.Io, backoff: Agent.Backoff, retry_number: usize, retry_after_seconds: ?u64) u64 { if (backoff.respect_retry_after) if (retry_after_seconds) |seconds| { return @min(std.math.mul(u64, seconds, 1000) catch std.math.maxInt(u64), backoff.maximum_delay_ms); }; var delay = @min(backoff.initial_delay_ms, backoff.maximum_delay_ms); var exponent = retry_number -| 1; while (exponent > 0 and delay < backoff.maximum_delay_ms) : (exponent -= 1) { delay = @min(std.math.mul(u64, delay, 2) catch std.math.maxInt(u64), backoff.maximum_delay_ms); } var random_source = std.Random.IoSource{ .io = io }; return random_source.interface().uintAtMost(u64, delay);}
fn generateIdempotencyKey(io: std.Io, output: *[32]u8) []const u8 { var random: [16]u8 = undefined; io.random(&random); output.* = std.fmt.bytesToHex(random, .lower); return output;}
fn sleepBackoff(io: std.Io, delay_ms: u64, control: model_types.RunControl) !void { return control.invoke(void, sleepBackoffDuration, .{ io, delay_ms });}
fn sleepBackoffDuration(io: std.Io, delay_ms: u64) !void { const maximum: u64 = @intCast(std.math.maxInt(i64)); toolTimeout(@min(delay_ms, maximum)).sleep(io) catch |err| return normalizeBackoffSleepError(err); // kcov-ignore}
fn normalizeBackoffSleepError(err: error{Canceled}) Agent.Error { return switch (err) { error.Canceled => Agent.Error.Cancelled, };}
fn monotonicNow(io: ?std.Io) ?std.Io.Clock.Timestamp { return std.Io.Clock.Timestamp.now(io orelse return null, .awake);}
fn elapsedMilliseconds(io: ?std.Io, started: ?std.Io.Clock.Timestamp) ?u64 { const start = started orelse return null; const end = std.Io.Clock.Timestamp.now(io orelse return null, start.clock); const nanoseconds = start.durationTo(end).raw.nanoseconds; if (nanoseconds <= 0) return 0; return @intCast(@min(@divFloor(nanoseconds, std.time.ns_per_ms), std.math.maxInt(u64)));}
fn addRunDuration( usage: *usage_types.RunUsage, io: ?std.Io, started: ?std.Io.Clock.Timestamp,) error{UsageOverflow}!void { const duration = elapsedMilliseconds(io, started) orelse return; usage.run_duration_ms = std.math.add(u64, usage.run_duration_ms, duration) catch return error.UsageOverflow;}
fn enforceUsageLimits(usage: usage_types.RunUsage, limits: Agent.UsageLimits) Agent.Error!void { if (limits.max_input_tokens) |maximum| { if (usage.input_tokens > maximum) return Agent.Error.InputTokenLimitExceeded; } if (limits.max_output_tokens) |maximum| { if (usage.output_tokens > maximum) return Agent.Error.OutputTokenLimitExceeded; } if (limits.max_total_tokens) |maximum| { if (usage.totalTokens() > maximum) return Agent.Error.TotalTokenLimitExceeded; } if (limits.max_cost_nano_usd) |maximum| if (usage.cost) |cost| { if (cost.nano_usd > maximum) return Agent.Error.CostLimitExceeded; };}
fn enforceFinishReason(reason: ?model_types.FinishReason) Agent.Error!void { const value = reason orelse return; return switch (value.kind) { .length => Agent.Error.ModelOutputTruncated, .content_filter => Agent.Error.ContentFiltered, .incomplete_tool_call => Agent.Error.IncompleteToolCall, else => {}, };}
fn appendSystemMessage(allocator: std.mem.Allocator, messages: *std.ArrayList(Message), text: []const u8) !void { const parts = try allocator.alloc(RequestPart, 1); parts[0] = .{ .system_prompt = try allocator.dupe(u8, text) }; try messages.append(allocator, .{ .request = .{ .parts = parts } });}
fn appendRetryMessage(allocator: std.mem.Allocator, messages: *std.ArrayList(Message), text: []const u8) !void { const parts = try allocator.alloc(RequestPart, 1); parts[0] = .{ .retry_prompt = try allocator.dupe(u8, text) }; try messages.append(allocator, .{ .request = .{ .parts = parts } });}
fn appendPromptMessage( allocator: std.mem.Allocator, messages: *std.ArrayList(Message), prompt: []const u8, rich_parts: []const PromptPart, instructions: []const []const u8,) !void { const extra: usize = if (prompt.len > 0) 1 else 0; const parts = try allocator.alloc(RequestPart, rich_parts.len + extra); for (rich_parts, parts[0..rich_parts.len]) |part, *copy| { copy.* = .{ .user_prompt = try copyPromptPart(allocator, part) }; } if (prompt.len > 0) { parts[rich_parts.len] = .{ .user_prompt = .{ .text = try allocator.dupe(u8, prompt) } }; } try messages.append(allocator, .{ .request = .{ .parts = parts, .instructions = if (instructions.len > 0) try std.mem.join(allocator, "\n\n", instructions) else null, } });}
fn appendMessageCopy(allocator: std.mem.Allocator, messages: *std.ArrayList(Message), message: Message) !void { try messages.append(allocator, switch (message) { .request => |request| .{ .request = try copyRequestMessage(allocator, request) }, .response => |response| .{ .response = try copyResponseMessage(allocator, response) }, });}
fn appendPendingMessageCopies( selected_model: model_types.Model, url_policy: security.UrlPolicy, allocator: std.mem.Allocator, messages: *std.ArrayList(Message), source: []const Message,) ![]const Message { const start = messages.items.len; for (source) |message| switch (message) { .request => { try ensureContentSupported(selected_model, url_policy, &.{message}); try appendMessageCopy(allocator, messages, message); }, .response => return Agent.Error.InvalidContentRole, }; return messages.items[start..];}
fn appendDrainedPendingMessages( selected_model: model_types.Model, url_policy: security.UrlPolicy, allocator: std.mem.Allocator, messages: *std.ArrayList(Message), drained: *const PendingMessageQueue.Drained,) ![]const Message { const start = messages.items.len; for (drained.batches.items) |batch| for (batch.messages) |request| { const message = Message{ .request = request }; try ensureContentSupported(selected_model, url_policy, &.{message}); try appendMessageCopy(allocator, messages, message); }; return messages.items[start..];}
fn appendQueuedMessages( queue: ?*PendingMessageQueue, close_when_empty: bool, selected_model: model_types.Model, url_policy: security.UrlPolicy, allocator: std.mem.Allocator, messages: *std.ArrayList(Message), stream_sink: ?AgentStreamSink, hooks: []const LifecycleHook,) !bool { const pending = queue orelse return false; var drained = (if (close_when_empty) pending.drainOrClose() else pending.drain()) orelse return false; defer drained.deinit(); const added = try appendDrainedPendingMessages(selected_model, url_policy, allocator, messages, &drained); if (stream_sink) |sink| try emitStreamEvent(hooks, sink, .{ .enqueued_messages = .{ .messages = added }, }); return true;}
fn closeAndCopyPendingMessages( queue: ?*PendingMessageQueue, selected_model: model_types.Model, url_policy: security.UrlPolicy, allocator: std.mem.Allocator,) ![]const Message { const pending = queue orelse return &.{}; var drained = pending.closeAndDrain() orelse return &.{}; defer drained.deinit(); var messages: std.ArrayList(Message) = .empty; return appendDrainedPendingMessages(selected_model, url_policy, allocator, &messages, &drained);}
fn appendToolFollowUps( selected_model: model_types.Model, url_policy: security.UrlPolicy, allocator: std.mem.Allocator, messages: *std.ArrayList(Message), follow_ups: []const model_types.RequestMessage,) !void { for (follow_ups) |request| { for (request.parts) |part| switch (part) { .user_prompt => |content| try ensurePromptPartSupported(selected_model, url_policy, content), else => return Agent.Error.InvalidToolFollowUpMessage, }; try messages.append(allocator, .{ .request = try copyRequestMessage(allocator, request) }); }}
fn copyPromptPart(allocator: std.mem.Allocator, part: PromptPart) !PromptPart { return model_types.dupeUserContent(allocator, part);}
fn copyResponsePart(allocator: std.mem.Allocator, part: ResponsePart) !ResponsePart { var copied = try model_types.dupeResponsePart(allocator, part); switch (copied) { .tool_call => |*call| if (call.tool_kind == null and std.mem.eql(u8, call.name, load_capability_tool_name)) { call.tool_kind = .capability_load; }, else => {}, } return copied;}
fn copyPart(allocator: std.mem.Allocator, part: ResponsePart) !ResponsePart { return copyResponsePart(allocator, part);}
fn copyRequestPart(allocator: std.mem.Allocator, part: RequestPart) !RequestPart { return model_types.dupeRequestPart(allocator, part);}
fn copyRequestMessage(allocator: std.mem.Allocator, request: model_types.RequestMessage) !model_types.RequestMessage { const parts = try allocator.alloc(RequestPart, request.parts.len); for (request.parts, parts) |part, *copy| copy.* = try copyRequestPart(allocator, part); return .{ .parts = parts, .timestamp_unix_ms = request.timestamp_unix_ms, .instruction_parts = blk: { const result = try allocator.alloc(model_types.InstructionPart, request.instruction_parts.len); for (request.instruction_parts, result) |part, *copy| copy.* = .{ .content = try allocator.dupe(u8, part.content), .dynamic = part.dynamic, }; break :blk result; }, .instructions = try copyOptionalString(allocator, request.instructions), .run_id = try copyOptionalString(allocator, request.run_id), .conversation_id = try copyOptionalString(allocator, request.conversation_id), .metadata = try copyMetadata(allocator, request.metadata), .state = request.state, };}
fn copyResponseMessage(allocator: std.mem.Allocator, response: model_types.ResponseMessage) !model_types.ResponseMessage { const parts = try allocator.alloc(ResponsePart, response.parts.len); for (response.parts, parts) |part, *copy| copy.* = try copyResponsePart(allocator, part); return .{ .parts = parts, .usage = response.usage, .timestamp_unix_ms = response.timestamp_unix_ms, .provider_name = try copyOptionalString(allocator, response.provider_name), .provider_url = try copyOptionalString(allocator, response.provider_url), .provider_details = if (response.provider_details) |details| try model_types.dupeProviderDetails(allocator, details) else null, .provider_response_id = try copyOptionalString(allocator, response.provider_response_id), .model_name = try copyOptionalString(allocator, response.model_name), .finish_reason = if (response.finish_reason) |reason| .{ .kind = reason.kind, .raw = try allocator.dupe(u8, reason.raw), } else null, .run_id = try copyOptionalString(allocator, response.run_id), .conversation_id = try copyOptionalString(allocator, response.conversation_id), .metadata = try copyMetadata(allocator, response.metadata), .state = response.state, };}
fn copyOptionalString(allocator: std.mem.Allocator, value: ?[]const u8) !?[]const u8 { return if (value) |string| try allocator.dupe(u8, string) else null;}
fn copyContent(allocator: std.mem.Allocator, value: model_types.Content) !model_types.Content { return model_types.dupeContent(allocator, value);}
fn copyMetadata(allocator: std.mem.Allocator, source: []const model_types.Metadata) ![]const model_types.Metadata { return model_types.dupeMetadata(allocator, source);}
fn resolveInstructions( allocator: std.mem.Allocator, configured: []const Instruction, runtime: []const []const u8, context: InstructionContext,) ![]const []const u8 { var resolved: std.ArrayList([]const u8) = .empty; for (configured) |instruction| switch (instruction) { .text => |value| if (value.len > 0) try resolved.append(allocator, try allocator.dupe(u8, value)), .dynamic => {}, }; for (configured) |instruction| switch (instruction) { .text => {}, .dynamic => |dynamic| { const value = try context.control.invoke( []const u8, resolveDynamicInstruction, .{ dynamic, allocator, context }, ); if (value.len > 0) try resolved.append(allocator, try allocator.dupe(u8, value)); }, }; for (runtime) |value| if (value.len > 0) { try resolved.append(allocator, try allocator.dupe(u8, value)); }; return resolved.toOwnedSlice(allocator);}
fn resolveDynamicInstruction( instruction: Instruction.Dynamic, allocator: std.mem.Allocator, context: InstructionContext,) ![]const u8 { return instruction.resolve(allocator, context);}
fn emitLifecycle(hooks: []const LifecycleHook, event: LifecycleEvent) !void { for (hooks) |hook| try hook.emit(event);}
fn telemetryHook(run: *telemetry_types.Run) LifecycleHook { const Adapter = struct { fn emit(context: *anyopaque, event: LifecycleEvent) !void { const telemetry_run: *telemetry_types.Run = @ptrCast(@alignCast(context)); return telemetry_run.observe(event); } }; return .{ .context = run, .eventFn = Adapter.emit };}
fn emitStreamEvent(hooks: []const LifecycleHook, sink: AgentStreamSink, event: AgentStreamEvent) !void { try emitLifecycle(hooks, .{ .stream_event = .{ .stage = .before, .event = event } }); try sink.emit(event); try emitLifecycle(hooks, .{ .stream_event = .{ .stage = .after, .event = event } });}
fn prepareTools( allocator: std.mem.Allocator, direct_tools: []const model_types.Tool, toolsets: []const Toolset, policies: []const tool_policy.Policy, context: ToolsetContext,) ![]const model_types.Tool { var candidates: std.ArrayList(model_types.Tool) = .empty; try candidates.appendSlice(allocator, direct_tools);
for (toolsets) |toolset| { const entries = try context.control.invoke( []const ToolsetEntry, prepareToolset, .{ toolset, allocator, context }, ); for (entries) |entry| { if (!entry.enabled) continue; var tool = entry.tool; if (toolset.namespace) |namespace| { if (namespace.len > 0) { tool.definition.name = try std.fmt.allocPrint( allocator, "{s}__{s}", .{ namespace, tool.definition.name }, ); } } tool.metadata = try mergeToolMetadata( allocator, tool.metadata, toolset.metadata, entry.metadata, ); try candidates.append(allocator, tool); } } var prepared: std.ArrayList(model_types.Tool) = .empty; const run = tool_policy.RunContext{ .messages = context.messages, .usage = context.usage, .model_requests = context.model_requests, .dependencies = context.dependencies, .capabilities = context.capabilities, .control = context.control, }; for (candidates.items) |candidate| { var event = tool_policy.Prepare{ .run = run, .tool = candidate }; try applyToolPolicies(context.control, policies, allocator, .{ .prepare = &event }); if (event.enabled) try prepared.append(allocator, event.tool); } return prepared.toOwnedSlice(allocator);}
fn applyToolPolicies( control: model_types.RunControl, policies: []const tool_policy.Policy, allocator: std.mem.Allocator, event: tool_policy.Event,) !void { return control.invoke(void, tool_policy.applyAll, .{ policies, allocator, event });}
fn prepareToolset( toolset: Toolset, allocator: std.mem.Allocator, context: ToolsetContext,) ![]const ToolsetEntry { return toolset.prepare(allocator, context);}
fn mergeToolMetadata( allocator: std.mem.Allocator, tool: []const model_types.ToolMetadata, toolset: []const model_types.ToolMetadata, entry: []const model_types.ToolMetadata,) ![]const model_types.ToolMetadata { var merged: std.ArrayList(model_types.ToolMetadata) = .empty; for ([_][]const model_types.ToolMetadata{ tool, toolset, entry }) |layer| { for (layer) |metadata| { for (merged.items) |*existing| { if (std.mem.eql(u8, existing.key, metadata.key)) { existing.* = metadata; break; } } else try merged.append(allocator, metadata); } } return merged.toOwnedSlice(allocator);}
const ToolRetryTracker = struct { allocator: std.mem.Allocator, entries: std.ArrayList(Entry) = .empty,
const Entry = struct { name: []const u8, count: usize, };
fn restore(self: *ToolRetryTracker, saved: []const SerializedToolRetry) !void { for (saved) |entry| try self.entries.append(self.allocator, .{ .name = try self.allocator.dupe(u8, entry.name), .count = entry.count, }); }
fn consume(self: *ToolRetryTracker, name: []const u8, limit: usize) !bool { if (limit == 0) return false; for (self.entries.items) |*entry| { if (!std.mem.eql(u8, entry.name, name)) continue; if (entry.count >= limit) return false; entry.count += 1; return true; } try self.entries.append(self.allocator, .{ .name = name, .count = 1 }); return true; }
fn current(self: *const ToolRetryTracker, name: []const u8) usize { for (self.entries.items) |entry| { if (std.mem.eql(u8, entry.name, name)) return entry.count; } return 0; }};
fn ensureUniqueToolNames(tools: []const model_types.Tool) Agent.Error!void { for (tools, 0..) |tool, index| { for (tools[index + 1 ..]) |other| { if (std.mem.eql(u8, tool.definition.name, other.definition.name)) return Agent.Error.DuplicateToolName; } }}
fn ensureBuiltinToolsSupported( profile: model_types.ModelProfile, tools: []const model_types.BuiltinTool,) Agent.Error!void { for (tools, 0..) |tool, index| { const kind = tool.kind(); for (tools[index + 1 ..]) |other| { if (tool.conflictsWith(other)) return Agent.Error.DuplicateBuiltinTool; } if (profile.supportsBuiltinTool(kind)) continue; return switch (kind) { .web_search => Agent.Error.ModelDoesNotSupportWebSearch, .web_fetch => Agent.Error.ModelDoesNotSupportWebFetch, .x_search => Agent.Error.ModelDoesNotSupportXSearch, .code_execution => Agent.Error.ModelDoesNotSupportCodeExecution, .file_search => Agent.Error.ModelDoesNotSupportFileSearch, .remote_mcp => Agent.Error.ModelDoesNotSupportRemoteMcp, }; }}
fn ensureContentSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, messages: []const Message,) Agent.Error!void { for (messages) |message| switch (message) { .request => |request| for (request.parts) |part| switch (part) { .user_prompt => |content| try ensurePromptPartSupported(selected_model, url_policy, content), .user_prompt_part => |prompt| try ensurePromptPartSupported(selected_model, url_policy, prompt.content), .speech => |speech| if (speech.audio) |audio| { try ensureProviderPartOwnedBy(selected_model, speech.provider); try ensureContentPartSupported(selected_model, url_policy, .audio, audio); } else try ensureProviderPartOwnedBy(selected_model, speech.provider), .tool_search_return => |result| try ensureProviderPartOwnedBy(selected_model, result.provider), .tool_return => |result| for (result.files) |content| { try ensureAnyContentSupported(selected_model, url_policy, content); }, else => {}, }, .response => |response| try ensureResponsePartsSupported(selected_model, url_policy, response.parts), };}
fn ensurePromptPartsSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, parts: []const PromptPart,) Agent.Error!void { for (parts) |part| try ensurePromptPartSupported(selected_model, url_policy, part);}
fn ensurePromptPartSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, part: PromptPart,) Agent.Error!void { switch (part) { .image => |content| try ensureContentPartSupported(selected_model, url_policy, .image, content), .audio => |content| try ensureContentPartSupported(selected_model, url_policy, .audio, content), .video => |content| try ensureContentPartSupported(selected_model, url_policy, .video, content), .document => |content| try ensureContentPartSupported(selected_model, url_policy, .document, content), .binary => |content| try ensureContentPartSupported(selected_model, url_policy, .binary, content), .uploaded_file => |file| { try ensureUploadedFileOwnedBy(selected_model, file); try ensureAnyContentSupported(selected_model, url_policy, file.asContent()); }, .text, .text_content, .cache_point => {}, }}
fn ensureResponsePartsSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, parts: []const ResponsePart,) Agent.Error!void { for (parts) |part| switch (part) { .text_part => |text| try ensureProviderPartOwnedBy(selected_model, text.provider), .tool_search_call, .native_tool_search_call => |call| try ensureProviderPartOwnedBy( selected_model, call.provider, ), .tool_call => |call| try ensureProviderPartOwnedBy(selected_model, call.provider), .native_tool_call => |call| try ensureProviderPartOwnedBy(selected_model, call.provider), .native_tool_search_return => |result| try ensureProviderPartOwnedBy(selected_model, result.provider), .native_tool_return => |result| { try ensureProviderPartOwnedBy(selected_model, result.provider); for (result.files) |content| try ensureAnyContentSupported(selected_model, url_policy, content); }, .compaction => |compaction| try ensureProviderPartOwnedBy(selected_model, compaction.provider), .image => |content| { try ensureContentPartSupported(selected_model, url_policy, .image, content); }, .audio => |content| { try ensureContentPartSupported(selected_model, url_policy, .audio, content); }, .video => |content| { try ensureContentPartSupported(selected_model, url_policy, .video, content); }, .document => |content| { try ensureContentPartSupported(selected_model, url_policy, .document, content); }, .binary => |content| { try ensureContentPartSupported(selected_model, url_policy, .binary, content); }, .thinking => |thinking| { if (!selected_model.profile.supportsContentType(.thinking)) return Agent.Error.ModelDoesNotSupportThinking; try ensureProviderPartOwnedBy(selected_model, thinking.provider); }, .speech => |speech| { try ensureProviderPartOwnedBy(selected_model, speech.provider); if (speech.audio) |audio| try ensureContentPartSupported(selected_model, url_policy, .audio, audio); }, else => {}, };}
fn ensureContentPartSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, kind: model_types.ContentType, content: model_types.Content,) Agent.Error!void { if (!selected_model.profile.supportsContentType(kind)) return switch (kind) { .image => Agent.Error.ModelDoesNotSupportImages, .audio => Agent.Error.ModelDoesNotSupportAudio, .video => Agent.Error.ModelDoesNotSupportVideo, .document => Agent.Error.ModelDoesNotSupportDocuments, .binary => Agent.Error.ModelDoesNotSupportBinaryContent, .thinking => Agent.Error.ModelDoesNotSupportThinking, }; try ensureProviderPartOwnedBy(selected_model, content.provider); switch (content.source) { .url => |url| try url_policy.validate(url), .provider_file => |file| if (file.provider) |expected| { const actual = selected_model.provider_name orelse return Agent.Error.ProviderFileProviderMismatch; if (!std.mem.eql(u8, expected, actual)) return Agent.Error.ProviderFileProviderMismatch; }, .uploaded_file => |file| try ensureUploadedFileOwnedBy(selected_model, file), else => {}, }}
fn ensureAnyContentSupported( selected_model: model_types.Model, url_policy: security.UrlPolicy, content: model_types.Content,) Agent.Error!void { const kind: model_types.ContentType = if (std.mem.startsWith(u8, content.media_type, "image/")) .image else if (std.mem.startsWith(u8, content.media_type, "audio/")) .audio else if (std.mem.startsWith(u8, content.media_type, "video/")) .video else if (std.mem.startsWith(u8, content.media_type, "text/") or std.mem.eql(u8, content.media_type, "application/pdf")) .document else .binary; try ensureContentPartSupported(selected_model, url_policy, kind, content);}
fn ensureUploadedFileOwnedBy(selected_model: model_types.Model, file: model_types.UploadedFile) Agent.Error!void { const actual = selected_model.provider_name orelse return Agent.Error.ProviderFileProviderMismatch; if (!std.mem.eql(u8, file.provider_name, actual)) return Agent.Error.ProviderFileProviderMismatch;}
fn ensureProviderPartOwnedBy(selected_model: model_types.Model, provider: model_types.ProviderPart) Agent.Error!void { const has_provider_data = provider.id != null or provider.provider_details != null; const expected = provider.provider_name orelse if (has_provider_data) return Agent.Error.ProviderFileProviderMismatch else return; const actual = selected_model.provider_name orelse return Agent.Error.ProviderFileProviderMismatch; if (!std.mem.eql(u8, expected, actual)) return Agent.Error.ProviderFileProviderMismatch;}
fn findTool(tools: []const model_types.Tool, name: []const u8) ?model_types.Tool { const index = findToolIndex(tools, name) orelse return null; return tools[index];}
fn findToolIndex(tools: []const model_types.Tool, name: []const u8) ?usize { for (tools, 0..) |tool, index| if (std.mem.eql(u8, tool.definition.name, name)) return index; return null;}
test "tool preparation policies compose after toolsets" { const State = struct { suffix: []const u8, calls: usize = 0,
fn apply(context: *anyopaque, allocator: std.mem.Allocator, event: tool_policy.Event) !void { const self: *@This() = @ptrCast(@alignCast(context)); const prepared = switch (event) { .prepare => |value| value, else => return error.UnexpectedToolPolicyStage, }; self.calls += 1; try std.testing.expectEqual(@as(usize, 3), prepared.run.model_requests); try std.testing.expectEqual(@as(u16, 7), prepared.run.dependency(u16).?.*); if (std.mem.eql(u8, prepared.tool.definition.name, "hidden")) { prepared.enabled = false; return; } prepared.tool.definition.description = try std.mem.concat( allocator, u8, &.{ prepared.tool.definition.description, self.suffix }, ); } }; var arena = std.heap.ArenaAllocator.init(std.testing.allocator); defer arena.deinit(); const allocator = arena.allocator(); var tool_context: u8 = 0; const hidden = model_types.Tool{ .definition = .{ .name = "hidden", .description = "hidden", .parameters_json_schema = "{}" }, .context = &tool_context, }; const visible = model_types.Tool{ .definition = .{ .name = "visible", .description = "visible", .parameters_json_schema = "{}" }, .context = &tool_context, }; var first = State{ .suffix = " one" }; var second = State{ .suffix = " two" }; const policies = [_]tool_policy.Policy{ .{ .context = &first, .applyFn = State.apply }, .{ .context = &second, .applyFn = State.apply }, }; var dependency: u16 = 7; const prepared = try prepareTools( allocator, &.{hidden}, &.{.{ .tools = &.{visible} }}, &policies, .{ .messages = &.{}, .usage = .{}, .model_requests = 3, .dependencies = &dependency, }, ); try std.testing.expectEqual(@as(usize, 1), prepared.len); try std.testing.expectEqualStrings("visible", prepared[0].definition.name); try std.testing.expectEqualStrings("visible one two", prepared[0].definition.description); try std.testing.expectEqual(@as(usize, 2), first.calls); try std.testing.expectEqual(@as(usize, 2), second.calls);}
test "tool policy failure and parallel retry branches are explicit" { var arena = std.heap.ArenaAllocator.init(std.testing.allocator); defer arena.deinit(); const allocator = arena.allocator(); var tool_context: u8 = 0; const Executor = struct { fn execute(_: *anyopaque, memory: std.mem.Allocator, _: []const u8) ![]const u8 { return memory.dupe(u8, "raw"); } }; const tool = model_types.Tool{ .definition = .{ .name = "demo", .description = "", .parameters_json_schema = "{}" }, .context = &tool_context, .executeFn = Executor.execute, }; var retries = ToolRetryTracker{ .allocator = allocator }; const malformed_call = Part{ .tool_call = .{ .id = "malformed", .name = "demo", .arguments_json = "{", } }; const malformed = try resolveToolCalls( &.{tool}, allocator, &.{malformed_call}, 1, .{ .model_format = .text, .validation_format = .text }, &retries, .{}, &.{}, &.{}, ); try std.testing.expectEqual(error.InvalidToolArguments, malformed[0].validation_failure.?);
const PolicyFailure = struct { stage: enum { arguments, call, return_value },
fn apply(context: *anyopaque, _: std.mem.Allocator, event: tool_policy.Event) !void { const self: *@This() = @ptrCast(@alignCast(context)); switch (event) { .arguments => if (self.stage == .arguments) return error.ArgumentPolicyFailed, .call => if (self.stage == .call) return error.CallPolicyFailed, .return_value => if (self.stage == .return_value) return error.ReturnPolicyFailed, else => {}, } } }; var failure = PolicyFailure{ .stage = .arguments }; const policy = tool_policy.Policy{ .context = &failure, .applyFn = PolicyFailure.apply }; const valid_call = Part{ .tool_call = .{ .id = "valid", .name = "demo", .arguments_json = "{}" } }; try std.testing.expectError(error.ArgumentPolicyFailed, resolveToolCalls( &.{tool}, allocator, &.{valid_call}, 1, .{ .model_format = .text, .validation_format = .text }, &retries, .{}, &.{policy}, &.{}, ));
const work = ToolWork{ .call = valid_call.tool_call, .tool_index = 0, .arguments_json = "{}", .execution = .immediate, }; failure.stage = .call; try std.testing.expectEqual(error.CallPolicyFailed, executeToolWork( tool, .{}, allocator, .{}, work, &.{policy}, ).failure); failure.stage = .return_value; try std.testing.expectEqual(error.ReturnPolicyFailed, executeToolWork( tool, .{}, allocator, .{}, work, &.{policy}, ).failure);
try std.testing.expect(findToolWork(&.{work}, "missing") == null);
const Stub = struct { fn request(_: *anyopaque, _: std.mem.Allocator, _: model_types.ModelRequest) !model_types.ModelResponse { return error.UnusedModel; } }; var threaded = std.Io.Threaded.init(std.testing.allocator, .{}); defer threaded.deinit(); const io = threaded.io(); const other = model_types.Tool{ .definition = .{ .name = "other", .description = "", .parameters_json_schema = "{}" }, .context = &tool_context, .executeFn = Executor.execute, }; const parallel_work = [_]ToolWork{ .{ .call = .{ .id = "retry", .name = "demo", .arguments_json = "{}" }, .tool_index = 0, .arguments_json = "{}", .execution = .immediate, .retry_message = "retry", }, .{ .call = .{ .id = "invalid", .name = "other", .arguments_json = "{}" }, .tool_index = 1, .arguments_json = "{}", .execution = .immediate, .validation_failure = error.InvalidArguments, }, }; var parallel_retries = ToolRetryTracker{ .allocator = allocator }; const parallel_agent = Agent{ .model = .{ .context = &tool_context, .profile = .{}, .requestFn = Stub.request }, .io = io, }; try std.testing.expectError(error.UnusedModel, parallel_agent.model.request(allocator, .{ .messages = &.{} })); const batch = try executeToolCalls( parallel_agent, &.{ tool, other }, allocator, ¶llel_work, ¶llel_retries, .{ .io = io }, &.{}, &.{}, ); try std.testing.expectEqualStrings("retry", batch.parts[0].tool_return.content); try std.testing.expect(batch.parts[1].tool_return.is_error);}
fn collectText(allocator: std.mem.Allocator, parts: []const ResponsePart) ![]const u8 { var output: std.ArrayList(u8) = .empty; for (parts) |part| switch (part) { .text => |text| try output.appendSlice(allocator, text), .text_part => |text| try output.appendSlice(allocator, text.content), .speech => |speech| if (speech.transcript) |text| try output.appendSlice(allocator, text), else => {}, }; if (output.items.len == 0) return Agent.Error.EmptyModelResponse; return output.toOwnedSlice(allocator);}
test "tool lookup is exact" { var unused: u8 = 0; const tool = model_types.Tool{ .definition = .{ .name = "weather", .description = "", .parameters_json_schema = "{}" }, .context = &unused, .executeFn = struct { fn call(_: *anyopaque, allocator: std.mem.Allocator, _: []const u8) ![]const u8 { return allocator.dupe(u8, "ok"); } }.call, }; try std.testing.expect(findTool(&.{tool}, "weather") != null); try std.testing.expect(findTool(&.{tool}, "Weather") == null); const content = try tool.execute(std.testing.allocator, "{}"); defer std.testing.allocator.free(content); try std.testing.expectEqualStrings("ok", content);}
test "tool control drains work at deadlines and cancellation" { const State = struct { active: std.atomic.Value(bool) = .init(false),
fn execute( context: *anyopaque, allocator: std.mem.Allocator, run: model_types.ToolRunContext, _: []const u8, ) ![]const u8 { const self: *@This() = @ptrCast(@alignCast(context)); self.active.store(true, .seq_cst); defer self.active.store(false, .seq_cst); _ = allocator; while (true) try (std.Io.Timeout{ .duration = .{ .raw = .fromSeconds(10), .clock = .awake, } }).sleep(run.io.?); }
fn cancelAfter(io: std.Io, token: *CancellationToken, state: *@This()) !void { const start_deadline = std.Io.Clock.Timestamp.fromNow(io, .{ .raw = .fromSeconds(5), .clock = .awake, }); while (!state.active.load(.seq_cst)) { if (std.Io.Clock.Timestamp.now(io, .awake).durationTo(start_deadline).raw.nanoseconds <= 0) { // unreachable in a passing scheduler test token.cancel(); // unreachable in a passing scheduler test return error.ToolDidNotStart; // unreachable in a passing scheduler test } try toolTimeout(1).sleep(io); // unreachable when the tool starts before the canceller is scheduled } token.cancel(); } }; var threaded = std.Io.Threaded.init(std.testing.allocator, .{}); defer threaded.deinit(); const io = threaded.io(); var state = State{ .active = .init(false) }; const tool = model_types.Tool{ .definition = .{ .name = "slow", .description = "", .parameters_json_schema = "{}" }, .context = &state, .executeWithContextFn = State.execute, }; const deadline = std.Io.Clock.Timestamp.fromNow(io, .{ .raw = .fromSeconds(1), .clock = .awake, }); const outcome = executeToolWorkControlled(io, tool, .{}, std.testing.allocator, .{ .io = io, .deadline = deadline, }, .{ .call = .{ .id = "slow", .name = "slow", .arguments_json = "{}" }, .tool_index = 0, .arguments_json = "{}", .execution = .immediate, }, &.{}); try std.testing.expectEqual(Agent.Error.RunTimedOut, outcome.failure); try std.testing.expect(!state.active.load(.seq_cst));
var token: CancellationToken = .{}; var cancel_runtime = std.Io.Threaded.init(std.testing.allocator, .{}); defer cancel_runtime.deinit(); var cancel = try cancel_runtime.io().concurrent(State.cancelAfter, .{ cancel_runtime.io(), &token, &state }); const cancelled = executeToolWorkControlled(io, tool, .{}, std.testing.allocator, .{ .io = io, .cancellation = &token, }, .{ .call = .{ .id = "slow", .name = "slow", .arguments_json = "{}" }, .tool_index = 0, .arguments_json = "{}", .execution = .immediate, }, &.{}); try cancel.await(cancel_runtime.io()); try std.testing.expectEqual(Agent.Error.Cancelled, cancelled.failure); try std.testing.expect(!state.active.load(.seq_cst));
const Fast = struct { fn execute(_: *anyopaque, allocator: std.mem.Allocator, _: []const u8) ![]const u8 { return allocator.dupe(u8, "ok"); } }; var success_runtime = std.Io.Threaded.init(std.testing.allocator, .{}); defer success_runtime.deinit(); const success_io = success_runtime.io(); const fast_tool = model_types.Tool{ .definition = .{ .name = "fast", .description = "", .parameters_json_schema = "{}" }, .context = &state, .executeFn = Fast.execute, }; const succeeded = executeToolWorkControlled(success_io, fast_tool, .{ .timeout_ms = 10_000 }, std.testing.allocator, .{ .io = success_io }, .{ .call = .{ .id = "fast", .name = "fast", .arguments_json = "{}" }, .tool_index = 0, .arguments_json = "{}", .execution = .immediate, }, &.{}); try std.testing.expect(succeeded == .success); defer std.testing.allocator.free(succeeded.success.content); try std.testing.expectEqualStrings("ok", succeeded.success.content);}
test "capability requirement accepts and rejects" { try requireCapability(true, Agent.Error.ModelDoesNotSupportTools); try std.testing.expectError( Agent.Error.ModelDoesNotSupportTools, requireCapability(false, Agent.Error.ModelDoesNotSupportTools), );}
test "retry classification follows policy" { const defaults: Agent.RetryPolicy = .{}; try std.testing.expect(shouldRetry(error.ProviderConnectionError, defaults)); try std.testing.expect(shouldRetry(error.ProviderResponseDecodeError, defaults)); try std.testing.expect(shouldRetry(error.ProviderRateLimited, defaults)); try std.testing.expect(shouldRetry(error.ProviderServerError, defaults)); try std.testing.expect(shouldRetry(error.RequestTimedOut, defaults)); try std.testing.expect(!shouldRetry(error.ProviderRequestFailed, defaults)); try std.testing.expect(!shouldRetry(error.ProviderRateLimited, .{ .retry_rate_limits = false })); try std.testing.expect(!shouldRetry(error.ProviderServerError, .{ .retry_server_errors = false })); try std.testing.expect(!shouldRetry(error.RequestTimedOut, .{ .retry_timeouts = false })); try std.testing.expect(!shouldRetry(error.ProviderConnectionError, .{ .retry_connection_errors = false })); try std.testing.expect(!shouldRetry(error.ProviderResponseDecodeError, .{ .retry_decode_errors = false }));}
test "backoff applies full jitter, caps growth, and honors Retry-After" { const policy: Agent.Backoff = .{ .initial_delay_ms = 100, .maximum_delay_ms = 350 }; try std.testing.expect(backoffDelayMilliseconds(std.testing.io, policy, 1, null) <= 100); try std.testing.expect(backoffDelayMilliseconds(std.testing.io, policy, 2, null) <= 200); try std.testing.expect(backoffDelayMilliseconds(std.testing.io, policy, 4, null) <= 350); try std.testing.expectEqual(@as(u64, 350), backoffDelayMilliseconds(std.testing.io, policy, 1, 2)); try std.testing.expect(backoffDelayMilliseconds(std.testing.io, .{ .initial_delay_ms = 100, .maximum_delay_ms = 350, .respect_retry_after = false, }, 1, 2) <= 100); try std.testing.expectEqual(@as(u64, 350), backoffDelayMilliseconds(std.testing.io, policy, 1, std.math.maxInt(u64))); var idempotency_key: [32]u8 = undefined; try std.testing.expectEqual(@as(usize, 32), generateIdempotencyKey(std.testing.io, &idempotency_key).len); try std.testing.expectEqual(Agent.Error.Cancelled, normalizeBackoffSleepError(error.Canceled));}
test "usage limits accept values at their boundaries" { try enforceUsageLimits(.{ .input_tokens = 2, .output_tokens = 3 }, .{ .max_input_tokens = 2, .max_output_tokens = 3, .max_total_tokens = 5, });}
test "cancellation tokens and retry hooks expose stable state" { var token: CancellationToken = .{}; try checkCancellation(&token); token.cancel(); try std.testing.expect(token.isCancelled()); try std.testing.expectError(Agent.Error.Cancelled, checkCancellation(&token));
const Capture = struct { called: bool = false, fn wait(context: *anyopaque, event: RetryEvent) !void { const self: *@This() = @ptrCast(@alignCast(context)); self.called = event.failure == error.ProviderServerError and event.retry_number == 1 and event.model_requests == 1; } }; var capture: Capture = .{}; try (RetryHook{ .context = &capture, .waitFn = Capture.wait }).wait(.{ .failure = error.ProviderServerError, .retry_number = 1, .model_requests = 1, }); try std.testing.expect(capture.called);}
test "pending message final drains close only after the FIFO is empty" { var queue = PendingMessageQueue.init(std.testing.allocator, std.testing.io); defer queue.deinit(); try queue.enqueue(&.{}); try queue.enqueue(&.{.{ .parts = &.{.{ .user_prompt = .{ .text = "queued" } }} }}); try queue.activate(); var drained = queue.drainOrClose().?; defer drained.deinit(); try std.testing.expectEqual(@as(usize, 1), drained.batches.items.len); try std.testing.expect(queue.drainOrClose() == null); try std.testing.expectError( Agent.Error.PendingMessageQueueClosed, queue.enqueue(&.{.{ .parts = &.{.{ .user_prompt = .{ .text = "late" } }} }}), );}
test "pending message queue serializes concurrent producers" { var runtime = std.Io.Threaded.init(std.testing.allocator, .{}); defer runtime.deinit(); const io = runtime.io(); var queue = PendingMessageQueue.init(std.testing.allocator, io); defer queue.deinit(); const Producer = struct { fn enqueue(target: *PendingMessageQueue, text: []const u8) !void { try target.enqueue(&.{.{ .parts = &.{.{ .user_prompt = .{ .text = text } }} }}); } }; var first = try io.concurrent(Producer.enqueue, .{ &queue, "first" }); var second = try io.concurrent(Producer.enqueue, .{ &queue, "second" }); try first.await(io); try second.await(io); try queue.activate(); var drained = queue.drain().?; defer drained.deinit(); try std.testing.expectEqual(@as(usize, 2), drained.batches.items.len); var saw_first = false; var saw_second = false; for (drained.batches.items) |batch| { const text = batch.messages[0].parts[0].user_prompt.text; saw_first = saw_first or std.mem.eql(u8, text, "first"); saw_second = saw_second or std.mem.eql(u8, text, "second"); } try std.testing.expect(saw_first and saw_second);}
test "pending message copies reject response roles" { const Stub = struct { fn request(_: *anyopaque, _: std.mem.Allocator, _: model_types.ModelRequest) !model_types.ModelResponse { return error.Unused; } }; var unused: u8 = 0; const selected_model = model_types.Model{ .context = &unused, .profile = .{}, .requestFn = Stub.request }; try std.testing.expectError(error.Unused, selected_model.request(std.testing.allocator, .{ .messages = &.{} })); var messages: std.ArrayList(Message) = .empty; try std.testing.expectError(Agent.Error.InvalidContentRole, appendPendingMessageCopies( selected_model, .{}, std.testing.allocator, &messages, &.{.{ .response = .{ .parts = &.{.{ .text = "invalid" }} } }}, ));}
fn checkResumeDecisionAllocationFailure(allocator: std.mem.Allocator) !void { var decisions = try parseResumeDecisions( allocator, "{\"version\":1,\"decisions\":[{\"call_id\":\"call\",\"action\":\"approve\"}]}", ); defer decisions.deinit();}
fn checkControlledHooksAllocationFailure(allocator: std.mem.Allocator) !void { var placeholder: u8 = 0; const controlled = try ControlledHooks.init(allocator, &.{.{ .context = &placeholder, .eventFn = ControlledLifecycleHook.emit, // kcov-ignore }}, .{}); defer controlled.deinit(allocator);}
fn checkPendingMessageQueueAllocationFailure(allocator: std.mem.Allocator) !void { var queue = PendingMessageQueue.init(allocator, std.testing.io); defer queue.deinit(); try queue.enqueue(&.{.{ .parts = &.{.{ .user_prompt = .{ .text = "copied" } }} }});}
test "agent private helpers cover ownership settings retries and rich content" { try std.testing.checkAllAllocationFailures(@import("testing.zig").non_resizing_allocator, checkResumeDecisionAllocationFailure, .{}); try std.testing.checkAllAllocationFailures(@import("testing.zig").non_resizing_allocator, checkControlledHooksAllocationFailure, .{}); try std.testing.checkAllAllocationFailures(@import("testing.zig").non_resizing_allocator, checkPendingMessageQueueAllocationFailure, .{});
try std.testing.expectError(Agent.Error.ToolFollowUpOverflow, validateToolOutput(.{ .content = "", .follow_up_messages = &.{.{ .parts = &.{}, .metadata = &.{.{ .key = "a", .value = "bc" }} }}, }, .{ .max_follow_up_bytes = 2 })); try std.testing.expectError(Agent.Error.ToolFollowUpOverflow, validateToolOutput(.{ .content = "", .follow_up_messages = &.{.{ .parts = &.{}, .instructions = "too long" }}, }, .{ .max_follow_up_bytes = 2 })); try std.testing.expectError(Agent.Error.ToolFollowUpOverflow, validateToolOutput(.{ .content = "", .follow_up_messages = &.{.{ .parts = &.{}, .run_id = "too long" }}, }, .{ .max_follow_up_bytes = 2 })); try std.testing.expectError(Agent.Error.ToolFollowUpOverflow, validateToolOutput(.{ .content = "", .follow_up_messages = &.{.{ .parts = &.{}, .instruction_parts = &.{.{ .content = "too long" }}, }}, }, .{ .max_follow_up_bytes = 2 }));
try std.testing.expectError( Agent.Error.ModelDoesNotSupportMaxTokens, requireModelSettings(.{ .supports_max_tokens = false }, .{ .max_tokens = 1 }), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportStopSequences, requireModelSettings(.{ .supports_stop_sequences = false }, .{ .stop_sequences = &.{"stop"} }), );
var locked = LockedAllocator{ .child = std.testing.allocator, .io = std.testing.io }; const concurrent = locked.allocator(); var bytes = try concurrent.alloc(u8, 64); if (concurrent.resize(bytes, 32)) bytes = bytes[0..32]; if (concurrent.remap(bytes, 16)) |remapped| bytes = remapped; concurrent.free(bytes);
var arena = std.heap.ArenaAllocator.init(std.testing.allocator); defer arena.deinit(); const allocator = arena.allocator(); const copied = [_]Part{ try copyPart(allocator, .{ .image = .{ .source = .{ .bytes = "image" }, .media_type = "image/png" } }), try copyPart(allocator, .{ .audio = .{ .source = .{ .bytes = "audio" }, .media_type = "audio/mpeg" } }), try copyPart(allocator, .{ .document = .{ .source = .{ .url = "https://example.test/doc" }, .media_type = "application/pdf", } }), try copyPart(allocator, .{ .binary = .{ .source = .{ .provider_file = .{ .id = "file", .provider = "provider" } }, .media_type = "application/octet-stream", } }), try copyPart(allocator, .{ .thinking = .{ .content = "private", .signature = "signed" } }), }; try std.testing.expectEqualStrings("image", copied[0].image.source.bytes); try std.testing.expectEqualStrings("audio", copied[1].audio.source.bytes); try std.testing.expectEqualStrings("https://example.test/doc", copied[2].document.source.url); try std.testing.expectEqualStrings("file", copied[3].binary.source.provider_file.id); try std.testing.expectEqualStrings("signed", copied[4].thinking.signature.?);
const copied_prompts = [_]PromptPart{ try copyPromptPart(allocator, .{ .audio = .{ .source = .{ .bytes = "audio" }, .media_type = "audio/mpeg" } }), try copyPromptPart(allocator, .{ .video = .{ .source = .{ .bytes = "video" }, .media_type = "video/mp4" } }), try copyPromptPart(allocator, .{ .document = .{ .source = .{ .bytes = "doc" }, .media_type = "application/pdf" } }), try copyPromptPart(allocator, .{ .binary = .{ .source = .{ .bytes = "binary" }, .media_type = "application/octet-stream" } }), }; try std.testing.expectEqualStrings("audio", copied_prompts[0].audio.source.bytes); _ = try copyRequestPart(allocator, .{ .system_prompt = "system" }); _ = try copyRequestPart(allocator, .{ .retry_prompt = "retry" }); _ = try copyRequestMessage(allocator, .{ .parts = &.{.{ .user_prompt = .{ .text = "hello" } }}, .instruction_parts = &.{.{ .content = "structured", .dynamic = true }}, .instructions = "rendered", .run_id = "run", .conversation_id = "conversation", .metadata = &.{.{ .key = "key", .value = "value" }}, .state = .interrupted, });
const provider = model_types.ProviderPart{ .id = "item", .provider_name = "provider" }; const uploaded = model_types.UploadedFile{ .id = "file", .provider_name = "provider", .media_type = "video/mp4", .metadata = &.{.{ .key = "key", .value = "value" }}, }; const rich_content = model_types.Content{ .source = .{ .uploaded_file = uploaded }, .media_type = "video/mp4", .provider = provider, .metadata = &.{.{ .key = "key", .value = "value" }}, }; try validateToolOutput(.{ .content = "ok", .follow_up_messages = &.{.{ .parts = &.{ .{ .system_prompt_part = .{ .content = "system", .dynamic_ref = "dynamic" } }, .{ .user_prompt_part = .{ .content = .{ .text_content = .{ .content = "text", .metadata = &.{.{ .key = "key", .value = "value" }}, } } } }, .{ .user_prompt = .{ .uploaded_file = uploaded } }, .{ .speech = .{ .speaker = .user, .transcript = "spoken", .audio = rich_content } }, .{ .tool_search_return = .{ .call_id = "search", .discovered_tools = &.{.{ .name = "weather" }}, .message = "found", .metadata = &.{.{ .key = "key", .value = "value" }}, } }, .{ .capability_load_return = .{ .call_id = "load", .instructions = "loaded", .metadata = &.{.{ .key = "key", .value = "value" }}, } }, .{ .tool_return = .{ .call_id = "tool", .name = "weather", .content = "result", .files = &.{rich_content}, .metadata = &.{.{ .key = "key", .value = "value" }}, } }, .{ .retry_prompt_part = .{ .content = "retry", .tool_name = "weather", .tool_call_id = "tool", } }, .{ .tool_availability_delta = .{ .tools_added = &.{ "weather", "clock" }, .tool_call_id = "search", } }, }, .instruction_parts = &.{.{ .content = "instruction" }}, .instructions = "rendered", .run_id = "run", .conversation_id = "conversation", .metadata = &.{.{ .key = "key", .value = "value" }}, }}, }, .{ .max_follow_up_bytes = 4096 });
const Stub = struct { fn request(_: *anyopaque, _: std.mem.Allocator, _: model_types.ModelRequest) !model_types.ModelResponse { return .{ .parts = &.{} }; // kcov-ignore } }; var unused: u8 = 0; const selected_model = model_types.Model{ .context = &unused, .profile = .{ .content_types = model_types.ModelProfile.ContentTypeSet.initMany(&.{ .image, .audio, .video, .document, .binary, .thinking, }) }, .provider_name = "provider", .requestFn = Stub.request, }; _ = try selected_model.request(allocator, .{ .messages = &.{} }); var messages: std.ArrayList(Message) = .empty; try std.testing.expectError(Agent.Error.InvalidToolFollowUpMessage, appendToolFollowUps( selected_model, .{}, allocator, &messages, &.{.{ .parts = &.{.{ .system_prompt = "not allowed" }} }}, ));
var tracker = ToolRetryTracker{ .allocator = allocator }; try tracker.restore(&.{.{ .name = "first", .count = 1 }}); try std.testing.expect(try tracker.consume("first", 3)); try std.testing.expect(try tracker.consume("second", 1)); try std.testing.expect(!try tracker.consume("missing", 0));
try std.testing.expectError( Agent.Error.ModelDoesNotSupportWebSearch, ensureBuiltinToolsSupported(.{}, &.{.{ .web_search = .{} }}), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportWebFetch, ensureBuiltinToolsSupported(.{}, &.{.{ .web_fetch = .{} }}), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportXSearch, ensureBuiltinToolsSupported(.{}, &.{.{ .x_search = .{} }}), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportCodeExecution, ensureBuiltinToolsSupported(.{}, &.{.{ .code_execution = .{} }}), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportFileSearch, ensureBuiltinToolsSupported(.{}, &.{.{ .file_search = .{ .vector_store_ids = &.{"collection"} } }}), ); try std.testing.expectError( Agent.Error.ModelDoesNotSupportRemoteMcp, ensureBuiltinToolsSupported(.{}, &.{.{ .remote_mcp = .{ .server_url = "https://example.test", .server_label = "one" } }}), ); try ensureBuiltinToolsSupported(.{ .builtin_tools = model_types.ModelProfile.BuiltinToolSet.initMany(&.{.remote_mcp}), }, &.{ .{ .remote_mcp = .{ .server_url = "https://one.example", .server_label = "one" } }, .{ .remote_mcp = .{ .server_url = "https://two.example", .server_label = "two" } }, }); try std.testing.expectError( Agent.Error.DuplicateBuiltinTool, ensureBuiltinToolsSupported(.{ .builtin_tools = model_types.ModelProfile.BuiltinToolSet.initMany(&.{.remote_mcp}), }, &.{ .{ .remote_mcp = .{ .server_url = "https://one.example", .server_label = "same" } }, .{ .remote_mcp = .{ .server_url = "https://two.example", .server_label = "same" } }, }), ); const content = model_types.Content{ .source = .{ .bytes = "x" }, .media_type = "application/octet-stream" }; try ensurePromptPartsSupported(selected_model, .{}, &.{ .{ .image = content }, .{ .audio = content }, .{ .video = content }, .{ .document = content }, .{ .binary = content }, .{ .uploaded_file = uploaded }, }); try ensureResponsePartsSupported(selected_model, .{}, &.{ .{ .text_part = .{ .content = "text", .provider = provider } }, .{ .tool_search_call = .{ .call_id = "search", .queries = &.{}, .provider = provider } }, .{ .native_tool_search_call = .{ .call_id = "search", .queries = &.{}, .provider = provider } }, .{ .tool_call = .{ .id = "tool", .name = "weather", .arguments_json = "{}", .provider = provider } }, .{ .native_tool_call = .{ .id = "native", .name = "search", .arguments_json = "{}", .provider = provider, } }, .{ .native_tool_search_return = .{ .call_id = "search", .discovered_tools = &.{}, .provider = provider, } }, .{ .native_tool_return = .{ .call_id = "native", .name = "search", .content = "result", .files = &.{rich_content}, .provider = provider, } }, .{ .compaction = .{ .content = "summary", .provider = provider } }, .{ .image = content }, .{ .audio = content }, .{ .video = content }, .{ .document = content }, .{ .binary = content }, .{ .thinking = .{ .content = "private", .provider = provider } }, .{ .speech = .{ .speaker = .assistant, .audio = content, .provider = provider } }, }); try ensureContentSupported(selected_model, .{}, &.{ .{ .request = .{ .parts = &.{ .{ .user_prompt = .{ .text = "text" } }, .{ .user_prompt_part = .{ .content = .{ .video = content } } }, .{ .speech = .{ .speaker = .user, .audio = content, .provider = provider } }, .{ .tool_search_return = .{ .call_id = "search", .discovered_tools = &.{}, .provider = provider } }, .{ .tool_return = .{ .call_id = "tool", .name = "weather", .content = "ok", .files = &.{content} } }, } } }, .{ .response = .{ .parts = &.{.{ .text = "text" }} } }, }); try std.testing.expectError( Agent.Error.ModelDoesNotSupportThinking, ensureResponsePartsSupported(.{ .context = &unused, .profile = .{}, .requestFn = Stub.request, }, .{}, &.{.{ .thinking = .{ .content = "private" } }}), ); const unsupported_model = model_types.Model{ .context = &unused, .profile = .{}, .requestFn = Stub.request }; try std.testing.expectError(Agent.Error.ModelDoesNotSupportImages, ensureContentPartSupported(unsupported_model, .{}, .image, content)); try std.testing.expectError(Agent.Error.ModelDoesNotSupportAudio, ensureContentPartSupported(unsupported_model, .{}, .audio, content)); try std.testing.expectError(Agent.Error.ModelDoesNotSupportVideo, ensureContentPartSupported(unsupported_model, .{}, .video, content)); try std.testing.expectError(Agent.Error.ModelDoesNotSupportDocuments, ensureContentPartSupported(unsupported_model, .{}, .document, content)); try std.testing.expectError(Agent.Error.ModelDoesNotSupportBinaryContent, ensureContentPartSupported(unsupported_model, .{}, .binary, content)); try std.testing.expectError(Agent.Error.ModelDoesNotSupportThinking, ensureContentPartSupported(unsupported_model, .{}, .thinking, content));
const local_url = model_types.Content{ .source = .{ .url = "https://127.0.0.1/private" }, .media_type = "image/png", }; try std.testing.expectError( Agent.Error.LocalNetworkUrlForbidden, ensureContentPartSupported(selected_model, .{}, .image, local_url), ); try ensureContentPartSupported(selected_model, .{ .allow_local_network = true }, .image, local_url); try std.testing.expectError( Agent.Error.ProviderFileProviderMismatch, ensureProviderPartOwnedBy(selected_model, .{ .id = "missing-owner" }), ); try std.testing.expectError( Agent.Error.ProviderFileProviderMismatch, ensureProviderPartOwnedBy(selected_model, .{ .provider_name = "other" }), ); const collected = try collectText(allocator, &.{ .{ .text_part = .{ .content = "detailed" } }, .{ .speech = .{ .speaker = .assistant, .transcript = " speech" } }, }); try std.testing.expectEqualStrings("detailed speech", collected);}
test "structured provider details copy and count every JSON value kind" { var arena = std.heap.ArenaAllocator.init(std.testing.allocator); defer arena.deinit(); const allocator = arena.allocator();
var values = std.json.Array.init(allocator); try values.append(.null); try values.append(.{ .bool = false }); try values.append(.{ .integer = 1 }); try values.append(.{ .float = 1.5 }); try values.append(.{ .number_string = "123456789012345678901234567890" }); try values.append(.{ .string = "opaque\n\"value" }); var object: std.json.ObjectMap = .empty; try object.put(allocator, "values", .{ .array = values }); const details = model_types.ProviderDetails{ .value = .{ .object = object } };
var total: usize = 0; try std.testing.expect(consumeProviderDetailsBytes(&total, 256, details)); try std.testing.expect(total > 0); total = 0; try std.testing.expect(!consumeProviderDetailsBytes(&total, 1, details)); try std.testing.expect(consumeProviderDetailsBytes(&total, 1, null));
const copied = try copyResponseMessage(allocator, .{ .parts = &.{}, .provider_details = details }); try std.testing.expectEqualStrings( "opaque\n\"value", copied.provider_details.?.value.object.get("values").?.array.items[5].string, );}
test "typed result decoding releases invalid untyped results" { var arena = std.heap.ArenaAllocator.init(std.testing.allocator); const output = try arena.allocator().dupe(u8, "not-json"); const messages = try arena.allocator().alloc(Message, 0); const result = Agent.Result{ .arena = arena, .output = output, .messages = messages, .usage = .{}, .model_requests = 1, .finish_reason = null, }; try std.testing.expectError(Agent.Error.InvalidTypedOutput, decodeTypedResult(struct { value: u8 }, result));}
test "paused state serializes retries and rejects mismatched calls" { var unused: u8 = 0; const Stub = struct { fn request(_: *anyopaque, _: std.mem.Allocator, _: model_types.ModelRequest) !model_types.ModelResponse { return .{ .parts = &.{} }; // kcov-ignore } }; const agent = Agent{ .model = .{ .context = &unused, .profile = .{}, .requestFn = Stub.request } }; _ = try agent.model.request(std.testing.allocator, .{ .messages = &.{} }); const approval = model_types.Tool{ .definition = .{ .name = "approval", .description = "", .parameters_json_schema = "{}" }, .execution = .requires_approval, .context = &unused, }; const call = Part{ .tool_call = .{ .id = "call", .name = "approval", .arguments_json = "{}" } }; var arena = std.heap.ArenaAllocator.init(std.testing.allocator); var paused = try createPausedRun( &arena, arena.allocator(), "prompt", &.{.{ .response = .{ .parts = &.{call} } }}, &.{"instruction"}, .{}, 1, 1, 0, &.{.{ .name = "approval", .count = 1 }}, &.{approval}, &.{call}, &.{.{ .call = call.tool_call, .tool_index = 0, .arguments_json = "{}", .execution = .requires_approval, }}, &.{}, ); defer paused.deinit(); try std.testing.expect(std.mem.indexOf(u8, paused.state_json, "\"version\":2") != null); try std.testing.expect(std.mem.indexOf(u8, paused.state_json, "\"tool_retries\":[{\"name\":\"approval\",\"count\":1}]") != null); try std.testing.expectError(Agent.Error.InvalidDeferredState, validateDeferredCalls( &.{approval}, &.{call}, &.{.{ .call_id = "different", .name = "approval", .arguments_json = "{}", .model_arguments_json = "{}", .execution = .requires_approval, .retry_number = 0, }}, )); var retries = ToolRetryTracker{ .allocator = std.testing.allocator }; try std.testing.expectError(Agent.Error.InvalidDeferredState, executeResumedToolCalls( agent, &.{approval}, std.testing.allocator, &.{.{ .request = .{ .parts = &.{.{ .user_prompt = .{ .text = "not a response" } }} } }}, &.{}, &.{}, &retries, .{}, &.{}, ));}
fn capabilityLoadFailureInstruction( _: *anyopaque, _: std.mem.Allocator, _: InstructionContext,) ![]const u8 { return error.TestInstructionFailure;}
fn checkCapabilityLoadAllocationFailure(gpa: std.mem.Allocator) !void { var arena = std.heap.ArenaAllocator.init(gpa); defer arena.deinit(); const allocator = arena.allocator(); const capabilities = [_]ScopedCapability{.{ .capability = .{ .id = "deferred", .loading = .on_demand }, .scope = .agent, .source_index = 0, }}; const entries = [_]capability_types.Entry{.{ .descriptor = capabilities[0].capability.descriptor(), .scope = .agent, .source_index = 0, }}; var active = [_]bool{false}; var loaded = [_]bool{false}; var initial = [_]bool{false}; var pending = [_]bool{false}; var runtime = CapabilityRuntime{ .scoped = &capabilities, .entries = &entries, .active = &active, .loaded = &loaded, .initial = &initial, .pending = &pending, .prompt = "prompt", .dependencies = null, .control = .{}, }; _ = try runtime.requestLoad(allocator, "deferred"); try std.testing.expect(pending[0]); const duplicate = try runtime.requestLoad(allocator, "deferred"); try std.testing.expect(std.mem.indexOf(u8, duplicate, "already loaded") != null);}
test "capability load is atomic across instruction and allocation failures" { var unused: u8 = 0; const capabilities = [_]ScopedCapability{.{ // kcov-ignore: comptime-only test fixture declaration .capability = .{ .id = "deferred", .loading = .on_demand, .instructions = &.{.{ .dynamic = .{ .context = &unused, .resolveFn = capabilityLoadFailureInstruction, } }}, }, .scope = .agent, .source_index = 0, }}; const entries = [_]capability_types.Entry{.{ .descriptor = capabilities[0].capability.descriptor(), .scope = .agent, .source_index = 0, }}; var active = [_]bool{false}; var loaded = [_]bool{false}; var initial = [_]bool{false}; var pending = [_]bool{false}; var runtime = CapabilityRuntime{ .scoped = &capabilities, .entries = &entries, .active = &active, .loaded = &loaded, .initial = &initial, .pending = &pending, .prompt = "prompt", .dependencies = null, .control = .{}, }; var arena = std.heap.ArenaAllocator.init(std.testing.allocator); defer arena.deinit(); try std.testing.expectError( error.TestInstructionFailure, runtime.requestLoad(arena.allocator(), "deferred"), ); try std.testing.expect(!pending[0]); try std.testing.expectEqual( AgentError.InvalidCapability, capabilityDiagnosticError(.{ .kind = .missing_conflict }), ); const typed_success = [_]Message{.{ .request = .{ .parts = &.{.{ .capability_load_return = .{ .call_id = "typed", .instructions = "loaded", } }} } }}; try std.testing.expect(hasSuccessfulCapabilityReturn(&typed_success, "typed")); const typed_failure = [_]Message{.{ .request = .{ .parts = &.{.{ .capability_load_return = .{ .call_id = "typed", .outcome = .failed, } }} } }}; try std.testing.expect(!hasSuccessfulCapabilityReturn(&typed_failure, "typed")); const ordinary_success = [_]Message{.{ .request = .{ .parts = &.{.{ .tool_return = .{ .call_id = "ordinary", .name = load_capability_tool_name, .content = "loaded", .tool_kind = .capability_load, } }} } }}; try std.testing.expect(hasSuccessfulCapabilityReturn(&ordinary_success, "ordinary")); try std.testing.expect(hasSuccessfulToolReturn(&ordinary_success, "ordinary", load_capability_tool_name)); try std.testing.expect(!hasSuccessfulCapabilityReturn(&.{}, "missing")); try std.testing.expect(!hasSuccessfulToolReturn(&.{}, "missing", load_capability_tool_name)); const response_only = [_]Message{.{ .response = .{ .parts = &.{} } }}; try std.testing.expect(!hasSuccessfulCapabilityReturn(&response_only, "missing")); try std.testing.expect(!hasSuccessfulToolReturn(&response_only, "missing", load_capability_tool_name)); try std.testing.checkAllAllocationFailures( @import("testing.zig").non_resizing_allocator, checkCapabilityLoadAllocationFailure, .{}, );}