v0.8.1 - Grounded Intelligence

[0.8.1] - 2026-03-13

Added

• Batch fact verification — Ground facts in batches of 10 for efficiency
• GroundingConfig.model — Dedicated model for grounding/verification
• YAML frontmatter — Template.from_file() parses YAML frontmatter

Changed

• PDF extraction — Consolidated to single docling dependency
• Grounding — Improved claim-to-fact matching with index-based pairing

Fixed

• IPO DRHP example — Working example with Budget, FactVerificationGuardrail
• Test mocks — Fixed output validation failure tests

v0.8.0 - Knowledge Pool

[0.8.0] - 2026-03-11

Added

• Intelligent model routing: Automatic LLM selection based on cost, performance, and context requirements.
• Multi-modality support: Native support for images, video, and audio generation/processing.
• Knowledge integration: RAG (Retrieval-Augmented Generation) with vector stores, document loaders, and semantic search.

Changed

• Simplified installation: pip install syrin now includes OpenAI and serving dependencies by default.
• Removed CLI: syrin trace, syrin run, and syrin doctor commands removed; use python my_agent.py --trace for observability.

Breaking

• CLI removal: Command-line interface deprecated; use direct Python execution with --trace flag.

v0.7.0 - Context Management

[0.7.0] - 2026-03-07

Breaking

• Context: Context.budget removed. Use Context.token_limits (TokenLimits). ContextWindowBudget → ContextWindowCapacity. Context.get_budget(model) → Context.get_capacity(model). ContextManager.prepare() takes capacity instead of budget.

Added

• Context management — Snapshot (provenance, why_included, context_rot_risk), breakdown, custom compaction prompt, auto_compact_at, runtime injection, context_mode (full/focused), formation_mode (push/pull), stored output chunks, persistent context map, pluggable RelevanceScorer.
• Memory–context — Memory on by default; memory=None turns off. No extra field.
• Handoff/spawn — Context visibility in events (handoff_context, context_inherited, initial_context_tokens).

Fixed

• Examples: Output(type=...) → Output(MyModel); Agent(dependencies=...) → Agent(config=AgentConfig(dependencies=...)).

v0.6.0 — CC

[0.6.0] - 2026-03-05

Added

• Remote config — syrin.init(api_key=...) or SYRIN_API_KEY enables real-time config overrides from Syrin Cloud or self-hosted backend. Overrides (budget, memory, temperature, etc.) via SSE; zero overhead when not enabled.
• Config routes — GET /config, PATCH /config, GET /config/stream added to agent.serve(). Baseline + overrides + revert; works with or without syrin.init().
• syrin.remote — Types: AgentSchema, ConfigOverride, OverridePayload, SyncRequest/SyncResponse. ConfigRegistry, ConfigResolver, extract_schema(). Transports: SSETransport, ServeTransport, PollingTransport.
• Hooks — Hook.REMOTE_CONFIG_UPDATE, Hook.REMOTE_CONFIG_ERROR.

Changed

• Agent registers with remote config on init when syrin.init() was called.

v0.5.0 - Remember Smarter

[0.5.0] - 2026-03-04

Added

• C5 fix — Memory.remember/recall/forget use configured backend (SQLite, Qdrant, Chroma) instead of in-memory dict when backend != MEMORY.
• QdrantConfig — Memory(qdrant=QdrantConfig(url=..., api_key=..., collection=..., namespace=...)) for Qdrant Cloud or local.
• ChromaConfig — Memory(chroma=ChromaConfig(path=..., collection=...)) for Chroma vector backend.
• Namespace isolation — QdrantConfig.namespace scopes all operations; payload filter on search/list.
• WriteMode — WriteMode.SYNC (block until complete) vs WriteMode.ASYNC (fire-and-forget, default).
• Memory export/import — Memory.export() returns MemorySnapshot; Memory.import_from(snapshot) appends memories. JSON-serializable for GDPR export.
• Examples — examples/04_memory/qdrant_memory.py, chroma_memory.py, async_memory.py, export_import_memory.py.

Changed

• Agent and Memory handoff now use memory._backend_kwargs() for backend config.
• syrin[qdrant] and syrin[chroma] optional dependencies added to pyproject.toml.

v0.4.1

[0.4.1] - 2026-03-01

Added

• API additions: Response.raw_response, GuardrailCheckResult.guardrail_name, CircuitBreaker.state, EventBus.on, GlobalConfig.debug, TokenLimits.per_hour, RateLimit.window, agent.checkpointer.

Fixed

• Model fallback and response transformer now use model.acomplete() when model has fallbacks/transformers.
• Model.with_middleware() preserves provider.
• Provider availability checks use importlib.util.find_spec() instead of import.

Changed

• Strict typing: TypedDict + Unpack for memory kwargs, ServeConfig, agent specs. Pyright config added.
• Replaced Any with object / TypedDict across core modules.
• Docs: docs/TYPING.md for typing standards; updated API references.

v0.3.0

[0.3.0] - 2026-02-27

Added

• Sub-agents & handoff — spawn(task=...), handoff(AgentClass, task) with optional memory transfer and budget inheritance.
• Handoff interception — events.before(Hook.HANDOFF_START, fn); raise HandoffBlockedError to block; HandoffRetryRequested for retry.
• Audit logging — AuditLog, JsonlAuditBackend; Agent(audit=...), Pipeline(audit=...), DynamicPipeline(audit=...).
• HITL — @syrin.tool(requires_approval=True); ApprovalGate protocol; hooks: HITL_PENDING, HITL_APPROVED, HITL_REJECTED.
• Circuit breaker — CircuitBreaker for LLM/provider failures; CLOSED → OPEN → HALF_OPEN; configurable fallback.
• Budget-aware context — Context tier selection by budget percent remaining.
• Dependency Injection — Agent(deps=...), RunContext[Deps]; tools receive ctx.deps (excluded from LLM schema).
• Dynamic Pipeline — Improved hooks and events API; flow diagram in docs/dynamic-pipeline.md.

Changed

• API validation — Agent, Model, Memory, Loop validate inputs at construction; clear errors for wrong types.
• agent.response(user_input) — Validates user_input is str; friendly error for None/int/dict.
• Example paths — Fixed run instructions (08_streaming, 07_multi_agent).

Fixed

• Chaos stress test fixes: Agent/Loop validation; Loop max_iterations < 1 no longer causes UnboundLocalError. Model _provider_kwargs passed to provider.

v0.2.0

[0.2.0] - 2026-02-26

Added

• Almock (LLM Mock) — Model.Almock() for development and testing without an API key. Configurable pricing tiers (LOW, MEDIUM, HIGH, ULTRA_HIGH), latency (default 1–3s or custom), and response (Lorem Ipsum or custom text). Examples and docs use Almock by default; swap to a real model with one line.
• Memory decay and consolidation — Decay strategies with configurable min importance and optional reinforcement on access. Memory.consolidate() for content deduplication with optional budget. Entries without IDs receive auto-generated IDs.
• Checkpoint triggers — Auto-save on STEP, TOOL, ERROR, or BUDGET in addition to MANUAL. Loop strategy comparison (REACT, SINGLE_SHOT, PLAN_EXECUTE, CODE_ACTION) documented in advanced topics.
• Provider resolution — ProviderNotFoundError when using an unknown provider, with a message listing known providers. Strict resolution available via get_provider(name, strict=True).
• Observability — Agent runs emit a root span plus child spans for each LLM call and tool execution. Session ID propagates to all spans. Optional OTLP exporter (syrin.observability.otlp) for OpenTelemetry.
• Documentation — Architecture guide, code quality guidelines, CONTRIBUTING.md. Community links (Discord, X) and corrected doc links.

Changed

• Model resolution — Agent construction with an invalid provider in ModelConfig now raises ProviderNotFoundError instead of falling back (breaking for callers relying on LiteLLM fallback).
• API — syrin.run() return type and tools parameter typing clarified. Duplicate symbols removed from public API exports.
• Docs — README and guides use lowercase syrin imports. Guardrails and rate-limit docs: fixed imports and references.

Fixed

• Response and recall contract; spawn return type and budget inheritance. Rate limit thresholds fully controlled by user action callback. Guardrail input block skips LLM; output block returns GUARDRAIL response. Checkpoint trigger behavior (STEP, MANUAL). Session span count when exporting. Edge cases: empty tools, no budget, unknown provider.

v0.1.1

[0.1.1] - 2026-02-25

syrin v0.1.1 — Python library for building AI agents with budget management, declarative definitions, and production-ready observability.

Initial Release

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Install: pip install syrin==0.1.1