build(deps): Bump astral-sh/setup-uv from 5 to 7#3
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Added funny GitHub badges
- Fix requirements; - Rename param auth_data to api_key;
- Refactor config-flow to support multiple LLM engines - Added YandexGPT and OpenAI - Basic support for models parameters - Correct README
Add support for multiple LLM engines
Bump version to 0.1.2
Bump version to 0.1.2
- Rollback from community to official gigachain library
Add support for completion models configuration
Bump version
- Add support for choosing models; - Support max_tokens; - Add ability to skip auth validation (for testing purposes); - Added EN readme
Add support for choosing models
Enhance github actions files
* Support inbuilt functionality for controlling home-assistant Inherited from default-agent * Add ability to switch off chat history * Add back HACS Actions
default conversation agent instantiation method was changed
* rc-0.1.8 fix version conflict resolve versions conflict * rc-0.1.8 remove anyscale remove anyscale support
- Migrate from AbstractConversationAgent to ConversationEntity with _async_handle_message(user_input, chat_log) and ChatLog/AssistantContent API - Add conversation.py with GigaChainConversationEntity - Simplify __init__.py to use async_forward_entry_setups/async_unload_platforms - Add 20 tests (11 config flow + 9 conversation entity) with pytest-homeassistant-custom-component - Add CHANGELOG.md based on git commit history - Add full technical documentation (docs/DOCUMENTATION.md) - Fix blocking LLM call, memory leak, deprecated APIs, Anyscale removal - Update to HA best practices: entry.runtime_data, ConfigFlowResult, @callback - Update models (GigaChat-Max, gpt-4o), add verify_ssl option - Add MIT LICENSE, pytest.ini, pre-commit ruff v0.9.7 - Update GitHub Actions to v4/v5, Python 3.12, ruff lint - Remove dead code: Anyscale, test-model.py, duplicate workflows - Version bump to 0.3.0 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
…penai, pytest в CI - Удалён OrderedDict, история управляется нативным ChatLog HA - _chatlog_to_langchain() для конвертации ChatLog ↔ LangChain messages - GigaChat из langchain_gigachat, ChatOpenAI из langchain_openai - Зависимости: langchain-gigachat>=0.3.0, langchain-openai>=0.3.0, langchain-community>=0.4.0 - Шаг pytest в push.yml и pull.yml - 4 новых теста setup/unload (test_setup.py) - Обновлены тесты conversation entity для ChatLog - Итого: 26 тестов (11 config flow + 11 conversation + 4 setup) - Обновлена документация для v0.4.0 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- _attr_supports_streaming = True для потоковой генерации - client.invoke() через executor заменён на client.astream() (async) - _async_langchain_stream() конвертирует AIMessageChunk → HA delta dicts - async_add_assistant_content_without_tools заменён на async_add_delta_content_stream - 3 новых теста (streaming attr, stream conversion, empty chunks) - Итого: 29 тестов (11 config flow + 14 conversation + 4 setup) - Версия: 0.5.0 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Complete project rename to reflect multi-provider LLM support: - Domain: gigachain -> smartchain - Entity: GigaChainConversationEntity -> SmartChainConversationEntity - New GitHub repo: ha-smartchain - Updated all imports, translations, manifests, tests Added AI Task entity (SmartChainAITaskEntity): - Implements ai_task.AITaskEntity with _async_generate_data() - Supports structured output (JSON parsing) - Reuses conversation entity's LangChain streaming + tool calling - For automation-driven text generation via ai_task.generate_data All 34 tests passing. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Project conventions, architecture overview, testing and naming rules. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
…0.7.0) - Added Platform.AI_TASK to __init__.py PLATFORMS - Added ai_task to manifest.json dependencies - Fixed codeowners to @dzerik, documentation URLs to dzerik/ha-smartchain - Created test_ai_task.py with 7 tests: - test_ai_task_entity_init - test_generate_data_basic - test_generate_data_structured_json - test_generate_data_structured_invalid_json - test_generate_data_llm_error - test_generate_data_with_tools - test_generate_data_empty_response - Fixed ruff lint (unused imports) and format issues - Fixed noqa directives in test files - Total: 41 tests, all passing 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Rewrote DOCUMENTATION.md with current architecture (v0.7.0) - Replaced all GigaChain references in COMPETITIVE_ANALYSIS.md and ROADMAP.md - Updated file paths from gigachain/ to smartchain/ - Fixed ruff format and noqa directives 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Replace pytest.ini with pyproject.toml configuration. Update CI workflows to use astral-sh/setup-uv for dependency management. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Remove ai_task from manifest.json dependencies (hangs on older HA) - Dynamically detect Platform.AI_TASK availability at import time - Pin langchain packages to compatible version ranges (core<1) - Update pyproject.toml: requires-python>=3.13, add all langchain deps - Fix ResponseError test (new gigachat API signature) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Add 3 new LLM providers: Ollama (local models), DeepSeek, Anthropic (Claude) - Ollama: base_url config, ChatOllama, no API key needed - DeepSeek: uses ChatOpenAI with DeepSeek base_url - Anthropic: ChatAnthropic with claude-sonnet-4-6 default - Config flow steps for all new providers - strings.json + translations (en, ru) for new providers - 51 tests passing (10 new tests for new providers) - Ruff lint + format clean 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- README/README-ru: add Ollama, DeepSeek, Anthropic providers, fix links - CHANGELOG: add v0.8.0 section with all new features - TODO: mark v0.8.1-v0.8.3 as completed - ROADMAP: update current version, feature matrix, metrics 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Updated with 6 providers, dependency constraints, test counts. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
gigachat <0.2.0 uses pydantic v1 models that break on Python 3.14. gigachat 0.2.0 migrated to pydantic v2, fixing the "unable to infer type for attribute x_headers" error. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Never stop until plan is complete - Commit and push after every milestone - Act autonomously - SOLID, DRY, KISS, YAGNI design principles documented 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- 7 new Options Flow tests: form display, model submission, model_required error, custom model_user, GigaChat-specific fields (profanity/verify_ssl), OpenAI schema exclusion, empty LLM API removal - Fix OptionsFlow: remove __init__ that set self.config_entry (read-only property in HA 2025+) - Total: 58 tests passing 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Simulates full tool calling loop: user request → LLM returns tool_call → HA executes tool → LLM gets result → LLM returns final text. Verifies iteration count, chat_log content sequence, and bind_tools call. Total: 59 tests passing. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Add ConfigSubentryFlow for "conversation" subentry type. Each subentry creates its own ConversationEntity + AITaskEntity with independent model, prompt, temperature, and LLM API settings. - config_flow.py: add async_get_supported_subentry_types(), ConversationSubentryFlow with async_step_user() and async_step_reconfigure() - __init__.py: iterate entry.subentries to create per-agent clients - conversation.py: accept subentry_id + options, use _agent_options and _client properties - ai_task.py: same subentry-aware pattern - strings.json + translations: add config_subentries.conversation section (en + ru) - Backward compatible: entries without subentries use legacy options path - Version bump to 0.9.0 - 59 tests passing, lint clean 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Subentry flow: show form, create agent, model_required error, custom model - Setup with subentries: single agent, multiple agents, legacy fallback - Conversation entity with subentry options - Total: 67 tests passing 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- TODO.md: mark v0.9 sub-entries, Options Flow tests, E2E test as done - CHANGELOG.md: add v0.9.0 section with sub-entries, tests, fixes - ROADMAP.md: bump to v0.9.0, update architecture diagram, feature matrix - COMPETITIVE_ANALYSIS.md: bump version to 0.9.0 - README.md + README-ru.md: add sub-entries to key features list 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 5 to 7. - [Release notes](https://github.com/astral-sh/setup-uv/releases) - [Commits](astral-sh/setup-uv@v5...v7) --- updated-dependencies: - dependency-name: astral-sh/setup-uv dependency-version: '7' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps astral-sh/setup-uv from 5 to 7.
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6ee6290chore(deps): bump versions (#792)9f332a1Add riscv64 architecture support to platform detection (#791)0acf970Bump actions/setup-node from 6.2.0 to 6.3.0 (#790)fe3617dDelete .github/workflows/dependabot-build.yml (#789)2ff70eeHarden Dependabot build workflow (#788)5ba8a7eFix: check PR author instead of event sender for Dependabot detection (#787)4bc8fabchore: update known checksums for 0.10.9 (#783)950b623Add workflow to auto-build dist on Dependabot PRs (#782)09ff6fechore: update known checksums for 0.10.8 (#779)bd87019Bump eifinger/actionlint-action from 1.10.0 to 1.10.1 (#778)You can trigger a rebase of this PR by commenting
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