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https://github.com/smkrv/ha-text-ai.git
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@@ -38,3 +38,4 @@ Thumbs.db
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*.psd
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*.zip
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*.txt
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*.pdf
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@@ -0,0 +1,128 @@
|
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# Contributor Covenant Code of Conduct
|
||||
|
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## Our Pledge
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||||
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We as members, contributors, and leaders pledge to make participation in our
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community a harassment-free experience for everyone, regardless of age, body
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size, visible or invisible disability, ethnicity, sex characteristics, gender
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identity and expression, level of experience, education, socio-economic status,
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nationality, personal appearance, race, religion, or sexual identity
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and orientation.
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|
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We pledge to act and interact in ways that contribute to an open, welcoming,
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diverse, inclusive, and healthy community.
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## Our Standards
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Examples of behavior that contributes to a positive environment for our
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community include:
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* Demonstrating empathy and kindness toward other people
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* Being respectful of differing opinions, viewpoints, and experiences
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* Giving and gracefully accepting constructive feedback
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* Accepting responsibility and apologizing to those affected by our mistakes,
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and learning from the experience
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* Focusing on what is best not just for us as individuals, but for the
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overall community
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Examples of unacceptable behavior include:
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* The use of sexualized language or imagery, and sexual attention or
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advances of any kind
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* Trolling, insulting or derogatory comments, and personal or political attacks
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* Public or private harassment
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* Publishing others' private information, such as a physical or email
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address, without their explicit permission
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* Other conduct which could reasonably be considered inappropriate in a
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professional setting
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## Enforcement Responsibilities
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Community leaders are responsible for clarifying and enforcing our standards of
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acceptable behavior and will take appropriate and fair corrective action in
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response to any behavior that they deem inappropriate, threatening, offensive,
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or harmful.
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Community leaders have the right and responsibility to remove, edit, or reject
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comments, commits, code, wiki edits, issues, and other contributions that are
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not aligned to this Code of Conduct, and will communicate reasons for moderation
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decisions when appropriate.
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## Scope
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This Code of Conduct applies within all community spaces, and also applies when
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an individual is officially representing the community in public spaces.
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Examples of representing our community include using an official e-mail address,
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posting via an official social media account, or acting as an appointed
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representative at an online or offline event.
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## Enforcement
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Instances of abusive, harassing, or otherwise unacceptable behavior may be
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reported to the community leaders responsible for enforcement at
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issue tracker.
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All complaints will be reviewed and investigated promptly and fairly.
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All community leaders are obligated to respect the privacy and security of the
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reporter of any incident.
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## Enforcement Guidelines
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Community leaders will follow these Community Impact Guidelines in determining
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the consequences for any action they deem in violation of this Code of Conduct:
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### 1. Correction
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**Community Impact**: Use of inappropriate language or other behavior deemed
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unprofessional or unwelcome in the community.
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clarity around the nature of the violation and an explanation of why the
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behavior was inappropriate. A public apology may be requested.
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### 2. Warning
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**Community Impact**: A violation through a single incident or series
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of actions.
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**Consequence**: A warning with consequences for continued behavior. No
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interaction with the people involved, including unsolicited interaction with
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those enforcing the Code of Conduct, for a specified period of time. This
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includes avoiding interactions in community spaces as well as external channels
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like social media. Violating these terms may lead to a temporary or
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permanent ban.
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### 3. Temporary Ban
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**Community Impact**: A serious violation of community standards, including
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sustained inappropriate behavior.
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**Consequence**: A temporary ban from any sort of interaction or public
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communication with the community for a specified period of time. No public or
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private interaction with the people involved, including unsolicited interaction
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with those enforcing the Code of Conduct, is allowed during this period.
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Violating these terms may lead to a permanent ban.
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### 4. Permanent Ban
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**Community Impact**: Demonstrating a pattern of violation of community
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standards, including sustained inappropriate behavior, harassment of an
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individual, or aggression toward or disparagement of classes of individuals.
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**Consequence**: A permanent ban from any sort of public interaction within
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the community.
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|
||||
## Attribution
|
||||
|
||||
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
|
||||
version 2.0, available at
|
||||
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
|
||||
|
||||
Community Impact Guidelines were inspired by [Mozilla's code of conduct
|
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enforcement ladder](https://github.com/mozilla/diversity).
|
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|
||||
[homepage]: https://www.contributor-covenant.org
|
||||
|
||||
For answers to common questions about this code of conduct, see the FAQ at
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||||
https://www.contributor-covenant.org/faq. Translations are available at
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https://www.contributor-covenant.org/translations.
|
||||
@@ -2,9 +2,11 @@
|
||||
|
||||
<div align="center">
|
||||
|
||||
  [](https://creativecommons.org/licenses/by-nc-sa/4.0/) [](https://github.com/hacs/integration)   
|
||||
  [](https://creativecommons.org/licenses/by-nc-sa/4.0/) [](https://github.com/hacs/integration)
|
||||
       
|
||||
|
||||
<img src="https://github.com/smkrv/ha-text-ai/blob/2aaf3405759eb2d97624834594e24ace896131df/assets/images/icons/logo.png" alt="HA Text AI" style="width: 80%; max-width: 640px; max-height: 150px; aspect-ratio: 2/1; object-fit: contain;"/>
|
||||
|
||||
<img src="https://github.com/smkrv/ha-text-ai/blob/15c717fcb0204bf4a0d4b4b4c6f0bb93e9f6c9a9/custom_components/ha_text_ai/icons/logo%402x.png" alt="HA Text AI" style="width: 50%; max-width: 256px; max-height: 128px; aspect-ratio: 2/1; object-fit: contain;"/>
|
||||
|
||||
### Advanced AI Integration for [Home Assistant](https://www.home-assistant.io/) with LLM multi-provider support
|
||||
</div>
|
||||
@@ -32,7 +34,7 @@ Transform your smart home experience with powerful AI assistance powered by mult
|
||||
- 🎯 **Advanced Customization**: Per-request model and parameter selection
|
||||
- 🔒 **Enhanced Security**: Secure API key management and usage monitoring
|
||||
- 🎨 **Improved User Experience**: Intuitive configuration and rich interfaces
|
||||
- 🔄 **Automation Integration**: Event-driven responses and template compatibility
|
||||
- 🔄 **Automation Integration**: Event-driven responses and template compatibility
|
||||
|
||||
<details>
|
||||
<summary>📦 Detailed Feature Breakdown</summary>
|
||||
@@ -164,6 +166,8 @@ To be compatible, a provider should support:
|
||||
7. Click "Download"
|
||||
8. Restart Home Assistant
|
||||
|
||||
Note: Also Integration has been submitted to HACS store and is currently pending review in [pull request #2896](https://github.com/hacs/default/pull/2896).
|
||||
|
||||
### Manual Installation
|
||||
1. Download the latest release
|
||||
2. Extract and copy `custom_components/ha_text_ai` to your `custom_components` directory
|
||||
@@ -270,6 +274,8 @@ data:
|
||||
### clear_history
|
||||
```yaml
|
||||
service: ha_text_ai.clear_history
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||||
data:
|
||||
instance: sensor.ha_text_ai_gpt
|
||||
```
|
||||
|
||||
### get_history
|
||||
@@ -278,6 +284,7 @@ service: ha_text_ai.get_history
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||||
data:
|
||||
limit: 5 # optional
|
||||
filter_model: "gpt-4o" # optional
|
||||
instance: sensor.ha_text_ai_gpt
|
||||
```
|
||||
|
||||
### 🏷️ HA Text AI Sensor Naming Convention
|
||||
@@ -400,7 +407,7 @@ automation:
|
||||
# Number of entries in current history file
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||||
{{ state_attr('sensor.ha_text_ai_gpt', 'History size') }} # 0
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||||
|
||||
# Last few conversation entries (limited to 3 for performance)
|
||||
# Last few conversation entries (limited to 1 for performance)
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||||
{{ state_attr('sensor.ha_text_ai_gpt', 'conversation_history') }} # [...]
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||||
```
|
||||
|
||||
|
||||
@@ -6,6 +6,8 @@ Constants for the HA text AI integration.
|
||||
@github: https://github.com/smkrv/ha-text-ai
|
||||
@source: https://github.com/smkrv/ha-text-ai
|
||||
"""
|
||||
import os
|
||||
import json
|
||||
from typing import Final
|
||||
import voluptuous as vol
|
||||
from homeassistant.const import Platform, CONF_API_KEY, CONF_NAME
|
||||
@@ -25,6 +27,22 @@ API_PROVIDERS: Final = [
|
||||
API_PROVIDER_ANTHROPIC
|
||||
]
|
||||
|
||||
# Read version from manifest.json
|
||||
MANIFEST_PATH = os.path.join(os.path.dirname(__file__), "manifest.json")
|
||||
try:
|
||||
with open(MANIFEST_PATH) as manifest_file:
|
||||
manifest = json.load(manifest_file)
|
||||
VERSION = manifest.get("version", "unknown")
|
||||
except FileNotFoundError:
|
||||
VERSION = "unknown"
|
||||
_LOGGER.warning("manifest.json not found at %s", MANIFEST_PATH)
|
||||
except json.JSONDecodeError as err:
|
||||
VERSION = "unknown"
|
||||
_LOGGER.error("Error decoding JSON from manifest.json: %s", err)
|
||||
except Exception as err:
|
||||
VERSION = "unknown"
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||||
_LOGGER.error("Error reading manifest.json: %s", err)
|
||||
|
||||
# Default endpoints
|
||||
DEFAULT_OPENAI_ENDPOINT: Final = "https://api.openai.com/v1"
|
||||
DEFAULT_ANTHROPIC_ENDPOINT: Final = "https://api.anthropic.com"
|
||||
@@ -56,6 +74,8 @@ DEFAULT_NAME: Final = "HA Text AI"
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||||
DEFAULT_NAME_PREFIX = "ha_text_ai"
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||||
DEFAULT_CONTEXT_MESSAGES: Final = 5
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||||
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||||
TRUNCATION_INDICATOR = " ... "
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||||
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||||
# Parameter constraints
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||||
MIN_TEMPERATURE: Final = 0.0
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MAX_TEMPERATURE: Final = 2.0
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||||
|
||||
@@ -41,6 +41,7 @@ from .const import (
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||||
ABSOLUTE_MAX_HISTORY_SIZE,
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||||
MAX_ATTRIBUTE_SIZE,
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||||
MAX_HISTORY_FILE_SIZE,
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||||
TRUNCATION_INDICATOR,
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||||
)
|
||||
|
||||
_LOGGER = logging.getLogger(__name__)
|
||||
@@ -647,15 +648,14 @@ class HATextAICoordinator(DataUpdateCoordinator):
|
||||
|
||||
async def _async_update_data(self) -> Dict[str, Any]:
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||||
"""Update coordinator data with improved error handling and performance."""
|
||||
|
||||
try:
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||||
async with asyncio.Semaphore(1):
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||||
current_state = self._get_current_state()
|
||||
|
||||
limited_history = await self._get_limited_history()
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||||
# Get limited history with info
|
||||
history_data = await self._get_limited_history()
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||||
|
||||
metrics = await self._get_current_metrics()
|
||||
|
||||
if metrics is None:
|
||||
metrics = {}
|
||||
|
||||
@@ -670,47 +670,68 @@ class HATextAICoordinator(DataUpdateCoordinator):
|
||||
"uptime": self._calculate_uptime(),
|
||||
"system_prompt": self._get_truncated_system_prompt(),
|
||||
"history_size": len(self._conversation_history),
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||||
"conversation_history": limited_history,
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||||
"conversation_history": history_data["entries"],
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||||
"history_info": history_data["info"],
|
||||
"normalized_name": self.normalized_name,
|
||||
}
|
||||
|
||||
await self._validate_update_data(data)
|
||||
|
||||
return data
|
||||
|
||||
except asyncio.CancelledError:
|
||||
_LOGGER.warning("Update was cancelled")
|
||||
raise
|
||||
except Exception as err:
|
||||
_LOGGER.error(f"Error updating data: {err}", exc_info=True)
|
||||
return self._get_safe_initial_state()
|
||||
|
||||
async def _get_limited_history(self) -> List[Dict[str, Any]]:
|
||||
"""Get limited conversation history with size constraints."""
|
||||
async def _get_limited_history(self) -> Dict[str, Any]:
|
||||
"""Get limited conversation history showing only last Q&A."""
|
||||
limited_history = []
|
||||
|
||||
if self._conversation_history:
|
||||
for entry in self._conversation_history[-3:]:
|
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limited_entry = {
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||||
"timestamp": entry["timestamp"],
|
||||
"question": self._truncate_text(entry["question"]),
|
||||
"response": self._truncate_text(entry["response"]),
|
||||
}
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||||
limited_history.append(limited_entry)
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||||
return limited_history
|
||||
last_entry = self._conversation_history[-1]
|
||||
limited_entry = {
|
||||
"timestamp": last_entry["timestamp"],
|
||||
"question": last_entry["question"][:4096] + (TRUNCATION_INDICATOR if len(last_entry["question"]) > 4096 else ""),
|
||||
"response": last_entry["response"][:4096] + (TRUNCATION_INDICATOR if len(last_entry["response"]) > 4096 else ""),
|
||||
}
|
||||
limited_history.append(limited_entry)
|
||||
|
||||
history_info = {
|
||||
"total_entries": len(self._conversation_history),
|
||||
"displayed_entries": len(limited_history),
|
||||
"full_history_available": True,
|
||||
"history_path": self._history_file,
|
||||
}
|
||||
|
||||
return {
|
||||
"entries": limited_history,
|
||||
"full_history": self._conversation_history,
|
||||
"info": history_info
|
||||
}
|
||||
|
||||
async def _get_sanitized_last_response(self) -> Dict[str, Any]:
|
||||
"""Get sanitized version of last response with truncation indicators."""
|
||||
response = self.last_response.copy()
|
||||
|
||||
if "response" in response:
|
||||
original_response = response["response"]
|
||||
is_response_truncated = len(original_response) > 4096
|
||||
response["response"] = original_response[:4096] + (TRUNCATION_INDICATOR if is_response_truncated else "")
|
||||
response["is_response_truncated"] = is_response_truncated
|
||||
response["full_response_length"] = len(original_response)
|
||||
|
||||
if "question" in response:
|
||||
original_question = response["question"]
|
||||
is_question_truncated = len(original_question) > 4096
|
||||
response["question"] = original_question[:4096] + (TRUNCATION_INDICATOR if is_question_truncated else "")
|
||||
response["is_question_truncated"] = is_question_truncated
|
||||
response["full_question_length"] = len(original_question)
|
||||
|
||||
return response
|
||||
|
||||
def _truncate_text(self, text: str, max_length: int = MAX_ATTRIBUTE_SIZE) -> str:
|
||||
"""Safely truncate text to maximum length."""
|
||||
return text[:max_length] if text else ""
|
||||
|
||||
async def _get_sanitized_last_response(self) -> Dict[str, Any]:
|
||||
"""Get sanitized version of last response."""
|
||||
response = self.last_response.copy()
|
||||
if "response" in response:
|
||||
response["response"] = self._truncate_text(response["response"])
|
||||
if "question" in response:
|
||||
response["question"] = self._truncate_text(response["question"])
|
||||
return response
|
||||
|
||||
def _calculate_uptime(self) -> float:
|
||||
"""Calculate current uptime in seconds."""
|
||||
return (dt_util.utcnow() - self._start_time).total_seconds()
|
||||
|
||||
@@ -23,6 +23,6 @@
|
||||
"single_config_entry": false,
|
||||
"ssdp": [],
|
||||
"usb": [],
|
||||
"version": "2.0.8",
|
||||
"version": "2.1.0",
|
||||
"zeroconf": []
|
||||
}
|
||||
|
||||
@@ -68,6 +68,7 @@ from .const import (
|
||||
DEFAULT_NAME_PREFIX,
|
||||
CONF_MAX_HISTORY_SIZE,
|
||||
MAX_ATTRIBUTE_SIZE,
|
||||
VERSION,
|
||||
)
|
||||
|
||||
from .coordinator import HATextAICoordinator
|
||||
@@ -154,7 +155,7 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
|
||||
name=self._attr_name,
|
||||
manufacturer="Community",
|
||||
model=f"{model} ({api_provider} provider)",
|
||||
sw_version="1.0.0",
|
||||
sw_version=VERSION,
|
||||
)
|
||||
|
||||
_LOGGER.debug(
|
||||
|
||||
Reference in New Issue
Block a user