feat: include session ID in system prompt via --pass-session-id flag

Adds --pass-session-id CLI flag. When set, the agent's system prompt
includes the session ID:

  Conversation started: Sunday, March 08, 2026 06:32 PM
  Session ID: 20260308_183200_abc123

Usage:
  hermes --pass-session-id
  hermes chat --pass-session-id

Implementation threads the flag as a proper parameter through the full
chain (main.py → cli.py → run_agent.py) rather than using an env var,
avoiding collisions in multi-agent/multitenant setups.

Based on PR #726 by dmahan93, reworked to use instance parameter
instead of HERMES_PASS_SESSION_ID environment variable.

Co-authored-by: dmahan93 <dmahan93@users.noreply.github.com>
This commit is contained in:
dmahan93 2026-03-12 05:51:31 -07:00 committed by teknium1
parent 92e9809c86
commit c7fc39bde0
3 changed files with 49 additions and 15 deletions

View file

@ -233,6 +233,7 @@ class AIAgent:
fallback_model: Dict[str, Any] = None,
checkpoints_enabled: bool = False,
checkpoint_max_snapshots: int = 50,
pass_session_id: bool = False,
):
"""
Initialize the AI Agent.
@ -287,6 +288,7 @@ class AIAgent:
self.ephemeral_system_prompt = ephemeral_system_prompt
self.platform = platform # "cli", "telegram", "discord", "whatsapp", etc.
self.skip_context_files = skip_context_files
self.pass_session_id = pass_session_id
self.log_prefix_chars = log_prefix_chars
self.log_prefix = f"{log_prefix} " if log_prefix else ""
# Store effective base URL for feature detection (prompt caching, reasoning, etc.)
@ -1483,9 +1485,10 @@ class AIAgent:
from hermes_time import now as _hermes_now
now = _hermes_now()
prompt_parts.append(
f"Conversation started: {now.strftime('%A, %B %d, %Y %I:%M %p')}"
)
timestamp_line = f"Conversation started: {now.strftime('%A, %B %d, %Y %I:%M %p')}"
if self.pass_session_id and self.session_id:
timestamp_line += f"\nSession ID: {self.session_id}"
prompt_parts.append(timestamp_line)
platform_key = (self.platform or "").lower().strip()
if platform_key in PLATFORM_HINTS:
@ -2442,6 +2445,16 @@ class AIAgent:
"""
reasoning_text = self._extract_reasoning(assistant_message)
# Fallback: extract inline <think> blocks from content when no structured
# reasoning fields are present (some models/providers embed thinking
# directly in the content rather than returning separate API fields).
if not reasoning_text:
content = assistant_message.content or ""
think_blocks = re.findall(r'<think>(.*?)</think>', content, flags=re.DOTALL)
if think_blocks:
combined = "\n\n".join(b.strip() for b in think_blocks if b.strip())
reasoning_text = combined or None
if reasoning_text and self.verbose_logging:
preview = reasoning_text[:100] + "..." if len(reasoning_text) > 100 else reasoning_text
logging.debug(f"Captured reasoning ({len(reasoning_text)} chars): {preview}")