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chatloop.go
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1841 lines (1688 loc) · 55.6 KB
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package chatloop
import (
"context"
"database/sql"
"encoding/base64"
"encoding/json"
"errors"
"maps"
"slices"
"strconv"
"strings"
"sync"
"time"
"unicode"
"charm.land/fantasy"
fantasyanthropic "charm.land/fantasy/providers/anthropic"
fantasyopenai "charm.land/fantasy/providers/openai"
"charm.land/fantasy/schema"
"golang.org/x/xerrors"
"cdr.dev/slog/v3"
"github.com/coder/coder/v2/coderd/database/dbtime"
"github.com/coder/coder/v2/coderd/x/chatd/chatdebug"
"github.com/coder/coder/v2/coderd/x/chatd/chaterror"
"github.com/coder/coder/v2/coderd/x/chatd/chatprompt"
"github.com/coder/coder/v2/coderd/x/chatd/chatretry"
"github.com/coder/coder/v2/coderd/x/chatd/chatsanitize"
"github.com/coder/coder/v2/coderd/x/chatd/chattool"
"github.com/coder/coder/v2/codersdk"
"github.com/coder/quartz"
)
const (
interruptedToolResultErrorMessage = "tool call was interrupted before it produced a result"
// maxCompactionRetries limits how many times the post-run
// compaction safety net can re-enter the step loop. This
// prevents infinite compaction loops when the model keeps
// hitting the context limit after summarization.
maxCompactionRetries = 3
// defaultStartupTimeout bounds how long an individual
// model attempt may spend starting to respond before
// the attempt is canceled and retried.
defaultStartupTimeout = 60 * time.Second
)
var (
ErrInterrupted = xerrors.New("chat interrupted")
ErrDynamicToolCall = xerrors.New("dynamic tool call")
// ErrStopAfterTool is returned when a tool listed in
// StopAfterTools produces a successful result, indicating
// the run should terminate cleanly after persistence.
ErrStopAfterTool = xerrors.New("stop after tool")
errStartupTimeout = xerrors.New(
"chat response did not start before the startup timeout",
)
)
// PendingToolCall describes a tool call that targets a dynamic
// tool. These calls are not executed by the chatloop; instead
// they are persisted so the caller can fulfill them externally.
type PendingToolCall struct {
ToolCallID string
ToolName string
Args string
}
// PersistedStep contains the full content of a completed or
// interrupted agent step. Content includes both assistant blocks
// (text, reasoning, tool calls) and tool result blocks. The
// persistence layer is responsible for splitting these into
// separate database messages by role.
type PersistedStep struct {
Content []fantasy.Content
Usage fantasy.Usage
ContextLimit sql.NullInt64
ProviderResponseID string
// Runtime is the wall-clock duration of this step,
// covering LLM streaming, tool execution, and retries.
// Zero indicates the duration was not measured (e.g.
// interrupted steps).
Runtime time.Duration
// PendingDynamicToolCalls lists tool calls that target
// dynamic tools. When non-empty the chatloop exits with
// ErrDynamicToolCall so the caller can execute them
// externally and resume the loop.
PendingDynamicToolCalls []PendingToolCall
// ToolCallCreatedAt maps tool-call IDs to the time
// the model emitted each tool call. Applied by the
// persistence layer to set CreatedAt on persisted
// tool-call ChatMessageParts.
ToolCallCreatedAt map[string]time.Time
// ToolResultCreatedAt maps tool-call IDs to the time
// each tool result was produced (or interrupted).
// Applied by the persistence layer to set CreatedAt
// on persisted tool-result ChatMessageParts.
ToolResultCreatedAt map[string]time.Time
}
// RunOptions configures a single streaming chat loop run.
type RunOptions struct {
Model fantasy.LanguageModel
Messages []fantasy.Message
Tools []fantasy.AgentTool
MaxSteps int
// StartupTimeout bounds how long each model attempt may
// spend opening the provider stream and waiting for its
// first stream part before the attempt is canceled and
// retried. Zero uses the production default.
StartupTimeout time.Duration
// Clock creates startup guard timers. In production use a
// real clock; tests can inject quartz.NewMock(t) to make
// startup timeout behavior deterministic.
Clock quartz.Clock
ActiveTools []string
ContextLimitFallback int64
// DynamicToolNames lists tool names that are handled
// externally. When the model invokes one of these tools
// the chatloop persists partial results and exits with
// ErrDynamicToolCall instead of executing the tool.
DynamicToolNames map[string]bool
// StopAfterTools lists tool names that, when they produce a
// successful result, cause the run to stop after persisting
// the current step. This is used for plan turns where
// propose_plan should terminate the run on success.
StopAfterTools map[string]struct{}
// ModelConfig holds per-call LLM parameters (temperature,
// max tokens, etc.) read from the chat model configuration.
ModelConfig codersdk.ChatModelCallConfig
// ProviderOptions are provider-specific call options
// converted from ModelConfig.ProviderOptions. This is a
// separate field because the conversion requires knowledge
// of the provider, which lives in chatd, not chatloop.
ProviderOptions fantasy.ProviderOptions
// ProviderTools are provider-native tools (like web search
// and computer use) whose definitions are passed directly
// to the provider API. When a ProviderTool has a non-nil
// Runner, tool calls are executed locally; otherwise the
// provider handles execution (e.g. web search).
ProviderTools []ProviderTool
PersistStep func(context.Context, PersistedStep) error
PublishMessagePart func(
role codersdk.ChatMessageRole,
part codersdk.ChatMessagePart,
)
// Callers should attach correlation fields (chat_id, owner_id, etc.)
// using Logger.With before passing the logger in.
Logger slog.Logger
Compaction *CompactionOptions
ReloadMessages func(context.Context) ([]fantasy.Message, error)
DisableChainMode func()
// PrepareMessages is called before each LLM step with the
// current message history. If it returns non-nil, the returned
// slice replaces messages for this and all subsequent steps.
// Used to inject system context that becomes available mid-loop
// (e.g. AGENTS.md after create_workspace).
PrepareMessages func([]fantasy.Message) []fantasy.Message
// OnRetry is called before each retry attempt when the LLM
// stream fails with a retryable error. It provides the attempt
// number, raw error, normalized classification, and backoff
// delay so callers can publish status events to connected
// clients. Callers should also clear any buffered stream state
// from the failed attempt in this callback to avoid sending
// duplicated content.
OnRetry chatretry.OnRetryFn
OnInterruptedPersistError func(error)
// Metrics records Prometheus metrics for the chatd subsystem.
// When nil, no metrics are recorded.
Metrics *Metrics
// BuiltinToolNames lists tool names that are built into chatd.
BuiltinToolNames map[string]bool
}
// ProviderTool pairs a provider-native tool definition with an
// optional local executor. When Runner is nil the tool is fully
// provider-executed (e.g. web search). When Runner is non-nil
// the definition is sent to the API but execution is handled
// locally (e.g. computer use).
type ProviderTool struct {
Definition fantasy.Tool
Runner fantasy.AgentTool
}
// stepResult holds the accumulated output of a single streaming
// step. Since we own the stream consumer, all content is tracked
// directly here, no shadow draft state needed.
type stepResult struct {
content []fantasy.Content
usage fantasy.Usage
providerMetadata fantasy.ProviderMetadata
finishReason fantasy.FinishReason
toolCalls []fantasy.ToolCallContent
shouldContinue bool
toolCallCreatedAt map[string]time.Time
toolResultCreatedAt map[string]time.Time
}
// toResponseMessages converts step content into messages suitable
// for appending to the conversation. Mirrors fantasy's
// toResponseMessages logic.
func (r stepResult) toResponseMessages() []fantasy.Message {
var assistantParts []fantasy.MessagePart
var toolParts []fantasy.MessagePart
for _, c := range r.content {
switch c.GetType() {
case fantasy.ContentTypeText:
text, ok := fantasy.AsContentType[fantasy.TextContent](c)
if !ok || strings.TrimSpace(text.Text) == "" {
continue
}
assistantParts = append(assistantParts, fantasy.TextPart{
Text: text.Text,
ProviderOptions: fantasy.ProviderOptions(text.ProviderMetadata),
})
case fantasy.ContentTypeReasoning:
reasoning, ok := fantasy.AsContentType[fantasy.ReasoningContent](c)
if !ok || strings.TrimSpace(reasoning.Text) == "" {
continue
}
assistantParts = append(assistantParts, fantasy.ReasoningPart{
Text: reasoning.Text,
ProviderOptions: fantasy.ProviderOptions(reasoning.ProviderMetadata),
})
case fantasy.ContentTypeToolCall:
toolCall, ok := fantasy.AsContentType[fantasy.ToolCallContent](c)
if !ok {
continue
}
assistantParts = append(assistantParts, fantasy.ToolCallPart{
ToolCallID: toolCall.ToolCallID,
ToolName: toolCall.ToolName,
Input: toolCall.Input,
ProviderExecuted: toolCall.ProviderExecuted,
ProviderOptions: fantasy.ProviderOptions(toolCall.ProviderMetadata),
})
case fantasy.ContentTypeFile:
file, ok := fantasy.AsContentType[fantasy.FileContent](c)
if !ok {
continue
}
assistantParts = append(assistantParts, fantasy.FilePart{
Data: file.Data,
MediaType: file.MediaType,
ProviderOptions: fantasy.ProviderOptions(file.ProviderMetadata),
})
case fantasy.ContentTypeSource:
// Sources are metadata about references; they don't
// need to be included in conversation messages.
continue
case fantasy.ContentTypeToolResult:
result, ok := fantasy.AsContentType[fantasy.ToolResultContent](c)
if !ok {
continue
}
part := fantasy.ToolResultPart{
ToolCallID: result.ToolCallID,
Output: result.Result,
ProviderExecuted: result.ProviderExecuted,
ProviderOptions: fantasy.ProviderOptions(result.ProviderMetadata),
}
// Provider-executed tool results (e.g. web_search)
// must stay in the assistant message so the result
// block appears inline after the corresponding
// server_tool_use block. This matches the persistence
// layer in chatd.go which keeps them in
// assistantBlocks.
if result.ProviderExecuted {
assistantParts = append(assistantParts, part)
} else {
toolParts = append(toolParts, part)
}
default:
continue
}
}
var messages []fantasy.Message
if len(assistantParts) > 0 {
messages = append(messages, fantasy.Message{
Role: fantasy.MessageRoleAssistant,
Content: assistantParts,
})
}
if len(toolParts) > 0 {
messages = append(messages, fantasy.Message{
Role: fantasy.MessageRoleTool,
Content: toolParts,
})
}
return messages
}
// reasoningState accumulates reasoning content and provider
// metadata while the stream is in flight.
type reasoningState struct {
text string
options fantasy.ProviderMetadata
}
// Run executes the chat step-stream loop and delegates
// persistence/publishing to callbacks.
func Run(ctx context.Context, opts RunOptions) error {
if opts.Model == nil {
return xerrors.New("chat model is required")
}
if opts.PersistStep == nil {
return xerrors.New("persist step callback is required")
}
if opts.MaxSteps <= 0 {
opts.MaxSteps = 1
}
if opts.StartupTimeout <= 0 {
opts.StartupTimeout = defaultStartupTimeout
}
if opts.Clock == nil {
opts.Clock = quartz.NewReal()
}
if opts.Metrics == nil {
opts.Metrics = NopMetrics()
}
publishMessagePart := func(role codersdk.ChatMessageRole, part codersdk.ChatMessagePart) {
if opts.PublishMessagePart == nil {
return
}
opts.PublishMessagePart(role, part)
}
tools := buildToolDefinitions(opts.Tools, opts.ActiveTools, opts.ProviderTools)
applyAnthropicCaching := shouldApplyAnthropicPromptCaching(opts.Model)
messages := opts.Messages
var lastUsage fantasy.Usage
var lastProviderMetadata fantasy.ProviderMetadata
needsFullHistoryReload := false
reloadFullHistory := func(stage string) error {
if opts.ReloadMessages == nil {
return nil
}
reloaded, err := opts.ReloadMessages(ctx)
if err != nil {
return xerrors.Errorf("reload messages %s: %w", stage, err)
}
messages = reloaded
return nil
}
totalSteps := 0
// When totalSteps reaches MaxSteps the inner loop exits immediately
// (its condition is false), stoppedByModel stays false, and the
// post-loop guard breaks the outer compaction loop.
for compactionAttempt := 0; ; compactionAttempt++ {
alreadyCompacted := false
// stoppedByModel is true when the inner step loop
// exited because the model produced no tool calls
// (shouldContinue was false). This distinguishes a
// natural stop from hitting MaxSteps.
stoppedByModel := false
// compactedOnFinalStep tracks whether compaction
// occurred on the very step where the model stopped.
// Only in that case should we re-enter, because the
// agent never had a chance to use the compacted context.
compactedOnFinalStep := false
for step := 0; totalSteps < opts.MaxSteps; step++ {
totalSteps++
provider := opts.Model.Provider()
modelName := opts.Model.Model()
opts.Metrics.StepsTotal.WithLabelValues(provider, modelName).Inc()
stepStart := time.Now()
// Copy messages so that provider-specific caching
// mutations don't leak back to the caller's slice.
// copy copies Message structs by value, so field
// reassignments in addAnthropicPromptCaching only
// affect the prepared slice.
if opts.PrepareMessages != nil {
if updated := opts.PrepareMessages(messages); updated != nil {
messages = updated
}
}
prepared := make([]fantasy.Message, len(messages))
copy(prepared, messages)
prepared, sanitizeStats := chatsanitize.SanitizeAnthropicProviderToolHistory(provider, prepared)
chatsanitize.LogAnthropicProviderToolSanitization(
ctx, opts.Logger, "pre_request", provider, modelName, sanitizeStats,
slog.F("step_index", step),
slog.F("total_steps", totalSteps),
)
prepared = chatsanitize.ApplyAnthropicProviderToolGuard(
ctx, opts.Logger, provider, modelName, prepared,
)
if applyAnthropicCaching {
addAnthropicPromptCaching(prepared)
}
opts.Metrics.MessageCount.WithLabelValues(provider, modelName).Observe(float64(len(prepared)))
opts.Metrics.PromptSizeBytes.WithLabelValues(provider, modelName).Observe(float64(EstimatePromptSize(prepared)))
call := fantasy.Call{
Prompt: prepared,
Tools: tools,
MaxOutputTokens: opts.ModelConfig.MaxOutputTokens,
Temperature: opts.ModelConfig.Temperature,
TopP: opts.ModelConfig.TopP,
TopK: opts.ModelConfig.TopK,
PresencePenalty: opts.ModelConfig.PresencePenalty,
FrequencyPenalty: opts.ModelConfig.FrequencyPenalty,
ProviderOptions: opts.ProviderOptions,
}
var result stepResult
stepCtx := chatdebug.ReuseStep(ctx)
err := chatretry.Retry(stepCtx, func(retryCtx context.Context) error {
attempt, streamErr := guardedStream(
retryCtx,
provider,
modelName,
opts.Clock,
opts.StartupTimeout,
func(attemptCtx context.Context) (fantasy.StreamResponse, error) {
return opts.Model.Stream(attemptCtx, call)
},
opts.Metrics,
)
if streamErr != nil {
return streamErr
}
defer attempt.release()
var processErr error
result, processErr = processStepStream(
attempt.ctx,
attempt.stream,
publishMessagePart,
)
return attempt.finish(processErr)
}, func(
attempt int,
retryErr error,
classified chatretry.ClassifiedError,
delay time.Duration,
) {
// Reset result from the failed attempt so the next
// attempt starts clean.
result = stepResult{}
// Record before OnRetry so a panicking callback can't
// drop the sample. The metric's provider label comes
// from the outer local; WithProvider only affects the
// classified payload handed to OnRetry.
classified = classified.WithProvider(provider)
opts.Metrics.RecordStreamRetry(provider, modelName, classified)
if opts.OnRetry != nil {
opts.OnRetry(attempt, retryErr, classified, delay)
}
})
if err != nil {
if errors.Is(err, ErrInterrupted) {
persistInterruptedStep(ctx, opts, &result)
return ErrInterrupted
}
return xerrors.Errorf("stream response: %w", err)
}
// Execute tools before persisting so that tool results
// are included in the persisted step content. The
// persistence layer splits assistant and tool-result
// blocks into separate database messages by role.
var toolResults []fantasy.ToolResultContent
if result.shouldContinue {
// Check for context cancellation before starting
// tool execution. If the chat was interrupted
// between stream completion and here, persist
// what we have and bail out.
if ctx.Err() != nil {
if errors.Is(context.Cause(ctx), ErrInterrupted) {
persistInterruptedStep(ctx, opts, &result)
return ErrInterrupted
}
return ctx.Err()
}
// Partition tool calls into built-in and dynamic.
var builtinCalls, dynamicCalls []fantasy.ToolCallContent
if len(opts.DynamicToolNames) > 0 {
for _, tc := range result.toolCalls {
if opts.DynamicToolNames[tc.ToolName] {
dynamicCalls = append(dynamicCalls, tc)
} else {
builtinCalls = append(builtinCalls, tc)
}
}
} else {
builtinCalls = result.toolCalls
}
// Execute only built-in tools.
toolResults = executeTools(ctx, opts.Tools, opts.ActiveTools, opts.ProviderTools, builtinCalls, opts.Metrics, opts.Logger, provider, modelName, opts.BuiltinToolNames, func(tr fantasy.ToolResultContent, completedAt time.Time) {
recordToolResultTimestamp(&result, tr.ToolCallID, completedAt)
publishToolAttachments(ctx, opts.Logger, tr, completedAt, publishMessagePart)
ssePart := chatprompt.PartFromContentWithLogger(ctx, opts.Logger, tr)
ssePart.CreatedAt = &completedAt
publishMessagePart(codersdk.ChatMessageRoleTool, ssePart)
})
for _, tr := range toolResults {
result.content = append(result.content, tr)
}
// If dynamic tools were called, persist what we
// have (assistant + built-in results) and exit so
// the caller can execute them externally.
if len(dynamicCalls) > 0 {
pending := make([]PendingToolCall, 0, len(dynamicCalls))
for _, dc := range dynamicCalls {
pending = append(pending, PendingToolCall{
ToolCallID: dc.ToolCallID,
ToolName: dc.ToolName,
Args: dc.Input,
})
}
contextLimit := extractContextLimitWithFallback(
result.providerMetadata,
opts.ContextLimitFallback,
)
result.content = chatsanitize.SanitizeAnthropicProviderToolStepContent(
ctx, opts.Logger, provider, modelName,
"dynamic_tool_persist", step, result.finishReason, result.content,
)
if len(result.content) == 0 && len(pending) == 0 {
tryCompactOnExit(ctx, opts, result.usage, result.providerMetadata)
return ErrDynamicToolCall
}
if err := opts.PersistStep(ctx, PersistedStep{
Content: result.content,
Usage: result.usage,
ContextLimit: contextLimit,
ProviderResponseID: extractOpenAIResponseIDIfStored(opts.ProviderOptions, result.providerMetadata),
Runtime: time.Since(stepStart),
PendingDynamicToolCalls: pending,
}); err != nil {
if errors.Is(err, ErrInterrupted) {
persistInterruptedStep(ctx, opts, &result)
return ErrInterrupted
}
return xerrors.Errorf("persist step: %w", err)
}
tryCompactOnExit(ctx, opts, result.usage, result.providerMetadata)
return ErrDynamicToolCall
}
// Check for interruption after tool execution.
// Tools that were canceled mid-flight produce error
// results via ctx cancellation. Persist the full
// step (assistant blocks + tool results) through
// the interrupt-safe path so nothing is lost.
if ctx.Err() != nil {
if errors.Is(context.Cause(ctx), ErrInterrupted) {
persistInterruptedStep(ctx, opts, &result)
return ErrInterrupted
}
return ctx.Err()
}
}
// Extract context limit from provider metadata.
contextLimit := extractContextLimitWithFallback(
result.providerMetadata,
opts.ContextLimitFallback,
)
result.content = chatsanitize.SanitizeAnthropicProviderToolStepContent(
ctx, opts.Logger, provider, modelName,
"normal_persist", step, result.finishReason, result.content,
)
if len(result.content) == 0 {
lastUsage = result.usage
lastProviderMetadata = result.providerMetadata
stoppedByModel = true
break
}
// Persist the step. If persistence fails because
// the chat was interrupted between the previous
// check and here, fall back to the interrupt-safe
// path so partial content is not lost.
if err := opts.PersistStep(ctx, PersistedStep{
Content: result.content,
Usage: result.usage,
ContextLimit: contextLimit,
ProviderResponseID: extractOpenAIResponseIDIfStored(opts.ProviderOptions, result.providerMetadata),
Runtime: time.Since(stepStart),
ToolCallCreatedAt: result.toolCallCreatedAt,
ToolResultCreatedAt: result.toolResultCreatedAt,
}); err != nil {
if errors.Is(err, ErrInterrupted) {
persistInterruptedStep(ctx, opts, &result)
return ErrInterrupted
}
return xerrors.Errorf("persist step: %w", err)
}
lastUsage = result.usage
lastProviderMetadata = result.providerMetadata
// Check if any executed tool triggers an early stop.
if shouldStopAfterTools(opts.StopAfterTools, toolResults) {
tryCompactOnExit(ctx, opts, result.usage, result.providerMetadata)
return ErrStopAfterTool
}
// When chain mode is active (PreviousResponseID set), exit
// it after persisting the first chained step. Continuation
// steps include tool-result messages, which fantasy rejects
// when previous_response_id is set, so we must leave chain
// mode and reload the full history before the next call.
stepMessages := result.toResponseMessages()
if hasPreviousResponseID(opts.ProviderOptions) {
clearPreviousResponseID(opts.ProviderOptions)
if opts.DisableChainMode != nil {
opts.DisableChainMode()
}
switch {
case opts.ReloadMessages != nil:
if err := reloadFullHistory("after chain mode exit"); err != nil {
return err
}
needsFullHistoryReload = false
default:
messages = append(messages, stepMessages...)
needsFullHistoryReload = false
}
} else {
messages = append(messages, stepMessages...)
}
if needsFullHistoryReload && !result.shouldContinue &&
opts.ReloadMessages != nil {
if err := reloadFullHistory("before final compaction after chain mode exit"); err != nil {
return err
}
needsFullHistoryReload = false
}
// Inline compaction.
if !needsFullHistoryReload && opts.Compaction != nil && opts.ReloadMessages != nil {
did, compactErr := tryCompact(
ctx,
opts.Model,
opts.Compaction,
opts.ContextLimitFallback,
result.usage,
result.providerMetadata,
messages,
)
opts.Metrics.RecordCompaction(provider, modelName, did, compactErr)
if compactErr != nil && opts.Compaction.OnError != nil {
opts.Compaction.OnError(compactErr)
}
if did {
alreadyCompacted = true
compactedOnFinalStep = true
if err := reloadFullHistory("after compaction"); err != nil {
return err
}
}
}
if !result.shouldContinue {
stoppedByModel = true
break
}
// The agent is continuing with tool calls, so any
// prior compaction has already been consumed.
compactedOnFinalStep = false
}
if needsFullHistoryReload && stoppedByModel && opts.ReloadMessages != nil {
if err := reloadFullHistory("before post-run compaction after chain mode exit"); err != nil {
return err
}
needsFullHistoryReload = false
}
// Post-run compaction safety net: if we never compacted
// during the loop, try once at the end.
if !needsFullHistoryReload && !alreadyCompacted && opts.Compaction != nil && opts.ReloadMessages != nil {
did, err := tryCompact(
ctx,
opts.Model,
opts.Compaction,
opts.ContextLimitFallback,
lastUsage,
lastProviderMetadata,
messages,
)
opts.Metrics.RecordCompaction(opts.Model.Provider(), opts.Model.Model(), did, err)
if err != nil {
if opts.Compaction.OnError != nil {
opts.Compaction.OnError(err)
}
}
if did {
compactedOnFinalStep = true
}
}
// Re-enter the step loop when compaction fired on the
// model's final step. This lets the agent continue
// working with fresh summarized context instead of
// stopping. When the inner loop continued after inline
// compaction (tool-call steps kept going), the agent
// already used the compacted context, so no re-entry
// is needed. Limit retries to prevent infinite loops.
if compactedOnFinalStep && stoppedByModel &&
opts.ReloadMessages != nil &&
compactionAttempt < maxCompactionRetries {
reloaded, reloadErr := opts.ReloadMessages(ctx)
if reloadErr != nil {
return xerrors.Errorf("reload messages after compaction: %w", reloadErr)
}
messages = reloaded
continue
}
break
}
return nil
}
// guardedAttempt owns an attempt-scoped context and startup guard
// around a provider stream. release is idempotent and frees the
// attempt-scoped timer/context. finish canonicalizes startup timeout
// errors before the retry loop classifies them.
type guardedAttempt struct {
ctx context.Context
stream fantasy.StreamResponse
release func()
finish func(error) error
}
// startupGuard arbitrates whether an attempt times out during
// stream startup. Exactly one outcome wins: the timer cancels
// the attempt, or the first-part path disarms the timer.
type startupGuard struct {
timer *quartz.Timer
cancel context.CancelCauseFunc
once sync.Once
}
func newStartupGuard(
clock quartz.Clock,
timeout time.Duration,
cancel context.CancelCauseFunc,
) *startupGuard {
guard := &startupGuard{cancel: cancel}
guard.timer = clock.AfterFunc(timeout, guard.onTimeout, "startupGuard")
return guard
}
func (g *startupGuard) onTimeout() {
g.once.Do(func() {
g.cancel(errStartupTimeout)
})
}
func (g *startupGuard) Disarm() {
g.once.Do(func() {
g.timer.Stop()
})
}
func classifyStartupTimeout(
attemptCtx context.Context,
provider string,
err error,
) error {
if !errors.Is(context.Cause(attemptCtx), errStartupTimeout) {
return err
}
if err == nil {
err = errStartupTimeout
}
return chaterror.WithClassification(err, chaterror.ClassifiedError{
Kind: chaterror.KindStartupTimeout,
Provider: provider,
Retryable: true,
})
}
func guardedStream(
parent context.Context,
provider, model string,
clock quartz.Clock,
timeout time.Duration,
openStream func(context.Context) (fantasy.StreamResponse, error),
metrics *Metrics,
) (guardedAttempt, error) {
attemptCtx, cancelAttempt := context.WithCancelCause(parent)
guard := newStartupGuard(clock, timeout, cancelAttempt)
var releaseOnce sync.Once
release := func() {
releaseOnce.Do(func() {
guard.Disarm()
cancelAttempt(nil)
})
}
streamStart := clock.Now()
stream, err := openStream(attemptCtx)
if err != nil {
err = classifyStartupTimeout(attemptCtx, provider, err)
release()
return guardedAttempt{}, err
}
recordTTFT := sync.OnceFunc(func() {
metrics.TTFTSeconds.WithLabelValues(provider, model).Observe(
clock.Since(streamStart).Seconds(),
)
})
return guardedAttempt{
ctx: attemptCtx,
stream: fantasy.StreamResponse(func(yield func(fantasy.StreamPart) bool) {
for part := range stream {
guard.Disarm()
recordTTFT()
if !yield(part) {
return
}
}
}),
release: release,
finish: func(err error) error {
return classifyStartupTimeout(attemptCtx, provider, err)
},
}, nil
}
// processStepStream consumes a fantasy StreamResponse and
// accumulates all content into a stepResult. Callbacks fire
// inline and their errors propagate directly.
func processStepStream(
ctx context.Context,
stream fantasy.StreamResponse,
publishMessagePart func(codersdk.ChatMessageRole, codersdk.ChatMessagePart),
) (stepResult, error) {
var result stepResult
activeToolCalls := make(map[string]*fantasy.ToolCallContent)
activeTextContent := make(map[string]string)
activeReasoningContent := make(map[string]reasoningState)
// Track tool names by ID for input delta publishing.
toolNames := make(map[string]string)
for part := range stream {
switch part.Type {
case fantasy.StreamPartTypeTextStart:
activeTextContent[part.ID] = ""
case fantasy.StreamPartTypeTextDelta:
if _, exists := activeTextContent[part.ID]; exists {
activeTextContent[part.ID] += part.Delta
}
publishMessagePart(codersdk.ChatMessageRoleAssistant, codersdk.ChatMessageText(part.Delta))
case fantasy.StreamPartTypeTextEnd:
if text, exists := activeTextContent[part.ID]; exists {
result.content = append(result.content, fantasy.TextContent{
Text: text,
ProviderMetadata: part.ProviderMetadata,
})
delete(activeTextContent, part.ID)
}
case fantasy.StreamPartTypeReasoningStart:
activeReasoningContent[part.ID] = reasoningState{
text: part.Delta,
options: part.ProviderMetadata,
}
case fantasy.StreamPartTypeReasoningDelta:
if active, exists := activeReasoningContent[part.ID]; exists {
active.text += part.Delta
active.options = part.ProviderMetadata
activeReasoningContent[part.ID] = active
}
publishMessagePart(codersdk.ChatMessageRoleAssistant, codersdk.ChatMessageReasoning(part.Delta))
case fantasy.StreamPartTypeReasoningEnd:
if active, exists := activeReasoningContent[part.ID]; exists {
if part.ProviderMetadata != nil {
active.options = part.ProviderMetadata
}
content := fantasy.ReasoningContent{
Text: active.text,
ProviderMetadata: active.options,
}
result.content = append(result.content, content)
delete(activeReasoningContent, part.ID)
}
case fantasy.StreamPartTypeToolInputStart:
activeToolCalls[part.ID] = &fantasy.ToolCallContent{
ToolCallID: part.ID,
ToolName: part.ToolCallName,
Input: "",
ProviderExecuted: part.ProviderExecuted,
}
if strings.TrimSpace(part.ToolCallName) != "" {
toolNames[part.ID] = part.ToolCallName
}
case fantasy.StreamPartTypeToolInputDelta:
var providerExecuted bool
if toolCall, exists := activeToolCalls[part.ID]; exists {
toolCall.Input += part.Delta
providerExecuted = toolCall.ProviderExecuted
}
toolName := toolNames[part.ID]
publishMessagePart(codersdk.ChatMessageRoleAssistant, codersdk.ChatMessagePart{
Type: codersdk.ChatMessagePartTypeToolCall,
ToolCallID: part.ID,
ToolName: toolName,
ArgsDelta: part.Delta,
ProviderExecuted: providerExecuted,
})
case fantasy.StreamPartTypeToolInputEnd:
// No callback needed; the full tool call arrives in
// StreamPartTypeToolCall.
case fantasy.StreamPartTypeToolCall:
tc := fantasy.ToolCallContent{
ToolCallID: part.ID,
ToolName: part.ToolCallName,
Input: part.ToolCallInput,
ProviderExecuted: part.ProviderExecuted,
ProviderMetadata: part.ProviderMetadata,
}
result.toolCalls = append(result.toolCalls, tc)
result.content = append(result.content, tc)
if strings.TrimSpace(part.ToolCallName) != "" {
toolNames[part.ID] = part.ToolCallName
}
// Clean up active tool call tracking.
delete(activeToolCalls, part.ID)
// Record when the model emitted this tool call
// so the persisted part carries an accurate
// timestamp for duration computation.
now := dbtime.Now()
if result.toolCallCreatedAt == nil {
result.toolCallCreatedAt = make(map[string]time.Time)
}
result.toolCallCreatedAt[part.ID] = now
ssePart := chatprompt.PartFromContent(tc)
ssePart.CreatedAt = &now
publishMessagePart(
codersdk.ChatMessageRoleAssistant,
ssePart,
)
case fantasy.StreamPartTypeSource:
sourceContent := fantasy.SourceContent{
SourceType: part.SourceType,
ID: part.ID,
URL: part.URL,
Title: part.Title,
ProviderMetadata: part.ProviderMetadata,
}
result.content = append(result.content, sourceContent)
publishMessagePart(
codersdk.ChatMessageRoleAssistant,
chatprompt.PartFromContent(sourceContent),
)
case fantasy.StreamPartTypeToolResult:
// Provider-executed tool results (e.g. web search)
// are emitted by the provider and added directly
// to the step content for multi-turn round-tripping.
// This mirrors fantasy's agent.go accumulation logic.
if part.ProviderExecuted {
tr := fantasy.ToolResultContent{
ToolCallID: part.ID,
ToolName: part.ToolCallName,
ProviderExecuted: part.ProviderExecuted,
ProviderMetadata: part.ProviderMetadata,
}
result.content = append(result.content, tr)