v0.8.3

• Pipeline engine — generic pipeline framework with branching, async boundaries, and parallel execution (#78)
• Trace passthrough — _build_traces() helper and raw trace data passed to RecursiveReflector sandbox

Full Changelog: v0.8.2...v0.8.3

v0.8.2

• RecursiveReflector None-response guard — gracefully handles empty/None LLM responses (e.g. from Gemini) with retry prompt instead of crashing
• LiteLLMClient.complete_messages() — native multi-turn completion that preserves structured message lists

Full Changelog: v0.8.1...v0.8.2

v0.8.1

Insight Source Tracing

Track where every skill in your skillbook came from.

Added

• Insight source tracing — InsightSource dataclass tracks skill provenance (epoch, sample, trace refs, error identification, learning text)
• Sample.id promoted to first-class field with UUID auto-generation
• Skillbook query API — source_map(), source_summary(), source_filter() for skill lineage
• Insight sources wired through OfflineACE, OnlineACE, and async learning pipelines
• UpdateOperation.learning_index for linking operations to reflector learnings
• Bedrock e2e example (examples/litellm/bedrock_insight_source_test.py)
• docs/INSIGHT_SOURCES.md guide

Full Changelog: v0.8.0...v0.8.1

v0.8.0

What's New

• TAU-bench integration: Full benchmark framework for evaluating agents on TAU-bench tasks
• Recursive Reflector: New reflector module with sandbox execution, trace context, and sub-agent support
• Skillbook tools: Clean, consolidate, and merge skillbooks via new utility scripts

Full Changelog: v0.7.0...v0.8.0

v0.7.3

Release v0.7.3

v0.7.2

What's New

Agentic System Prompting

New workflow to automatically optimize your agent's system prompts using your own data. Feed in past traces or conversations, and ACE analyzes what worked and what failed to generate actionable prompt suggestions.

Traces / Conversations → ACE → Prompt Suggestions

Each suggestion includes the recommended prompt text, justification for why it helps, and evidence from your actual traces. You review and decide what to implement.

See examples/agentic-system-prompting/ for the full workflow.

Other Changes

• Fix: Align test matrix with Python 3.12 requirement
• Fix: Use setup-uv action for Windows CI compatibility

v0.7.1

Fix: Forward credentials (api_key, base_url, etc.) to Instructor client (#44)

This patch fixes an issue where custom API credentials weren't being forwarded to all internal LLM calls, causing authentication errors when using OpenAI-compatible endpoints.

v0.7.0: Skillbook Rename

⚠️ Breaking Changes

Complete terminology rename - Playbook → Skillbook, Bullet → Skill

Old	New
Playbook	Skillbook
Bullet	Skill
Generator	Agent
Curator	SkillManager
OfflineAdapter	OfflineACE
OnlineAdapter	OnlineACE
DeltaOperation	UpdateOperation
DeltaBatch	UpdateBatch

Migration:

# Old
from ace import Playbook, Bullet, Generator, Curator, OfflineAdapter

# New
from ace import Skillbook, Skill, Agent, SkillManager, OfflineACE

JSON files: Change "bullets" key to "skills" in saved skillbooks.

Fixed

• Deduplication now properly applies consolidation operations

v0.6.0

Summary

Async learning pipeline with parallel Reflectors, bullet deduplication, and Instructor integration.

🚀 Async Learning

Non-blocking background learning - answers return immediately while learning continues in background threads.

agent.learn(samples, env, async_learning=True, max_reflector_workers=3)

🔍 Bullet Deduplication

Vector embedding-based duplicate detection prevents playbook bloat.

agent = ACELiteLLM(model="gpt-4o-mini", dedup_config=DeduplicationConfig(similarity_threshold=0.80))

📋 Instructor Integration

Robust JSON parsing with Pydantic schema validation and automatic retries.

Other Changes

• Reorganized examples by integration type (litellm/, langchain/, local-models/)
• Fixed Claude temperature+top_p conflict
• Improved Curator prompt for better deduplication and imperative strategy format
• Increased default max_tokens from 512 to 2048 to prevent truncation
• Added comprehensive test suites (~1600 lines)

Tests

291 passed, 67% coverage

🤖 Generated with Claude Code

v0.5.1

Bug Fixes

• Fixed Opik integration warnings for base installations
• Improved Opik configuration for local usage

Full Changelog: v0.5.0...v0.5.1