fix: add platform/channel awareness to gateway agents#2160
fix: add platform/channel awareness to gateway agents#2160praisonai-triage-agent[bot] wants to merge 2 commits into
Conversation
- Extended SessionContext in core to include Origin and ReachableTarget for platform awareness - Added detect_chat_type() helper to identify chat types from platform patterns - Enhanced ChannelDirectory with describe_targets() method - Modified _build_system_prompt() to inject session context into agent prompts - Updated BotSessionManager to build and set enriched context with origin and targets - Created SessionContextProvider for managing platform-aware context (wrapper layer) This enables agents to: - Know where messages originate (platform, chat type, display name) - See reachable delivery targets (home channels and aliases) - Correctly resolve 'here' and cross-platform delivery requests - Stop hallucinating non-existent channels Co-authored-by: MervinPraison <MervinPraison@users.noreply.github.com>
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Greptile SummaryThis PR extends
Confidence Score: 3/5The session context injection is sound, but the cache write relocation in chat_mixin.py silently drops tool instructions and security directives from every system prompt after the first for a given agent instance. The core SessionContext model and platform-detection logic are clean. However, moving the cache write to before tool instructions and trust/security sections are appended means the cache stores an incomplete prompt. Any subsequent call for the same role/goal/tools combination hits the cache and returns a prompt without the tool-list paragraph or the ## Security trust instructions — the agent silently loses tool awareness on repeated invocations. src/praisonai-agents/praisonaiagents/agent/chat_mixin.py — the cache write placement needs to move back to after tool and trust sections are assembled, or the cache-hit path needs to re-append those sections. Important Files Changed
Sequence Diagram%%{init: {'theme': 'neutral'}}%%
sequenceDiagram
participant Bot as Bot (platform)
participant BSM as BotSessionManager
participant DD as delivery.py
participant CD as ChannelDirectory
participant SC as SessionContext (ContextVar)
participant CM as ChatMixin._build_system_prompt
Bot->>BSM: chat(user_id, prompt, chat_id, thread_id, ...)
BSM->>DD: detect_chat_type(platform, chat_id)
DD-->>BSM: chat_type (group/channel/direct/unknown)
BSM->>CD: describe_targets()
CD-->>BSM: "[{name, platform, channel_id, kind}, ...]"
BSM->>SC: "set_session_context(origin=Origin(...), reachable_targets=[...])"
SC-->>BSM: ctx_token
BSM->>CM: _build_system_prompt(tools)
Note over CM: cache miss: build backstory+rules+skills
CM->>CM: cache_put(partial prompt)
CM->>SC: get_session_context()
SC-->>CM: SessionContext with origin + targets
CM->>CM: "append ## Session Context section"
CM->>CM: append tool instructions
CM->>CM: append trust/security
CM-->>BSM: full system prompt
BSM->>BSM: run agent with full prompt
BSM->>SC: clear_session_context(ctx_token)
%%{init: {'theme': 'base', 'themeVariables': {"darkMode": true, "background": "#0d1117", "primaryColor": "#21262d", "primaryTextColor": "#e6edf3", "primaryBorderColor": "#8b949e", "lineColor": "#8b949e", "textColor": "#e6edf3", "edgeLabelBackground": "#161b22", "actorBkg": "#21262d", "actorBorder": "#8b949e", "actorTextColor": "#e6edf3", "actorLineColor": "#8b949e", "signalColor": "#8b949e", "signalTextColor": "#e6edf3", "noteBkgColor": "#373320", "noteBorderColor": "#d4a72c", "noteTextColor": "#f0e6c0", "labelBoxBkgColor": "#21262d", "labelBoxBorderColor": "#8b949e", "labelTextColor": "#e6edf3", "loopTextColor": "#e6edf3", "activationBkgColor": "#30363d", "activationBorderColor": "#8b949e"}}}%%
sequenceDiagram
participant Bot as Bot (platform)
participant BSM as BotSessionManager
participant DD as delivery.py
participant CD as ChannelDirectory
participant SC as SessionContext (ContextVar)
participant CM as ChatMixin._build_system_prompt
Bot->>BSM: chat(user_id, prompt, chat_id, thread_id, ...)
BSM->>DD: detect_chat_type(platform, chat_id)
DD-->>BSM: chat_type (group/channel/direct/unknown)
BSM->>CD: describe_targets()
CD-->>BSM: "[{name, platform, channel_id, kind}, ...]"
BSM->>SC: "set_session_context(origin=Origin(...), reachable_targets=[...])"
SC-->>BSM: ctx_token
BSM->>CM: _build_system_prompt(tools)
Note over CM: cache miss: build backstory+rules+skills
CM->>CM: cache_put(partial prompt)
CM->>SC: get_session_context()
SC-->>CM: SessionContext with origin + targets
CM->>CM: "append ## Session Context section"
CM->>CM: append tool instructions
CM->>CM: append trust/security
CM-->>BSM: full system prompt
BSM->>BSM: run agent with full prompt
BSM->>SC: clear_session_context(ctx_token)
Reviews (2): Last reviewed commit: "fix: critical bugs in platform awareness..." | Re-trigger Greptile |
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📝 WalkthroughWalkthroughThe PR adds platform-aware session context to the gateway agent by introducing ChangesPlatform-Aware Session Context for Gateway Agent
Sequence Diagram(s)sequenceDiagram
participant Bot as BotSessionManager
participant SCP as SessionContextProvider
participant Delivery as delivery.py
participant CtxVar as SessionContext (contextvars)
participant Agent as ChatMixin._build_system_prompt
Bot->>SCP: build_context(platform, chat_id, thread_id, ...)
SCP->>Delivery: detect_chat_type(platform, chat_id)
Delivery-->>SCP: "group" | "channel" | "direct" | "unknown"
SCP->>Delivery: channel_directory.describe_targets()
Delivery-->>SCP: [{name, platform, channel_id, kind}, ...]
SCP-->>Bot: SessionContext(origin=Origin(...), reachable_targets=[...])
Bot->>CtxVar: set_session_context(origin=..., reachable_targets=...)
Note over Bot,CtxVar: Task-local context stored in contextvars
Bot->>Agent: agent.chat(message)
Agent->>CtxVar: get_session_context()
CtxVar-->>Agent: SessionContext with origin + reachable_targets
Agent-->>Agent: Append "Session Context" block to system prompt
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Suggested reviewers
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above from Qodo, Coderabbit, and Gemini first — incorporate their findings. Review areas:
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There was a problem hiding this comment.
Actionable comments posted: 4
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@src/praisonai-agents/praisonaiagents/agent/chat_mixin.py`:
- Around line 178-180: The exception handling in the chat_mixin.py file is too
broad by catching both ImportError and Exception generically and silently
passing without any logging. Replace the broad except clause that catches
(ImportError, Exception) with more specific error handling: catch only
ImportError for cases where the session context module is not available, and use
a logger to emit a warning when this expected import failure occurs. For any
other unexpected exceptions, either let them propagate (remove from the except
clause) or log them as errors before continuing. This way, real runtime bugs
will be visible during debugging rather than silently suppressed.
- Around line 138-177: The session context information (origin and
reachable_targets) is being added to the system_prompt after it may have been
retrieved from a cache that uses only role/goal/tools as the cache key. This
causes the session-specific context from one user/turn to potentially be reused
in another user's prompt, creating a security and correctness issue. Move the
session context injection block outside of any prompt caching mechanism,
ensuring that the cached base system_prompt is retrieved first and then the
per-turn session context is appended to it separately for each invocation,
rather than being part of the cached content.
In `@src/praisonai/praisonai/bots/_session.py`:
- Around line 285-293: The variable chat_name used at line 292 in the Origin
construction is not defined in the BotSessionManager.chat() method, causing a
NameError that gets silently caught and disables session-context enrichment. Add
chat_name as an explicit parameter to the BotSessionManager.chat() method
signature and update all call sites that invoke this method to pass the
chat_name argument through. This will ensure the variable is available when
constructing the Origin object with display_name=chat_name or chat_id.
In `@src/praisonai/praisonai/bots/delivery.py`:
- Around line 35-38: The logic in the get_chat_type method for Telegram is
hard-coding all chat IDs starting with "-100" as "channel", but this
classification is unsafe since Telegram's "-100" prefix is used for both
channels and supergroups. Replace the return statement that classifies "-100"
prefixed chat IDs as "channel" with a safer fallback that returns "unknown"
instead, since explicit metadata is needed to properly disambiguate between
channels and supergroups in the "-100" chat ID space.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
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📒 Files selected for processing (5)
src/praisonai-agents/praisonaiagents/agent/chat_mixin.pysrc/praisonai-agents/praisonaiagents/session/context.pysrc/praisonai/praisonai/bots/_session.pysrc/praisonai/praisonai/bots/delivery.pysrc/praisonai/praisonai/bots/session_context_provider.py
| # Add session context (platform awareness) if available | ||
| try: | ||
| from ..session.context import get_session_context | ||
| session_ctx = get_session_context() | ||
|
|
||
| # Format session context into prompt if origin or targets are present | ||
| if session_ctx.origin or session_ctx.reachable_targets: | ||
| context_parts = [] | ||
|
|
||
| # Add origin information | ||
| if session_ctx.origin: | ||
| origin = session_ctx.origin | ||
| origin_str = f"You are replying on {origin.platform}" | ||
| if origin.chat_type and origin.chat_type != "unknown": | ||
| origin_str += f" ({origin.chat_type}" | ||
| if origin.display_name: | ||
| origin_str += f' "{origin.display_name}"' | ||
| origin_str += ")" | ||
| if origin.thread_id: | ||
| origin_str += f" in thread {origin.thread_id}" | ||
| context_parts.append(origin_str + ".") | ||
|
|
||
| # Add reachable targets | ||
| if session_ctx.reachable_targets: | ||
| target_descriptions = [] | ||
| for target in session_ctx.reachable_targets: | ||
| desc = f"{target.name}" | ||
| if target.kind == "home": | ||
| desc += f" ({target.platform}, home channel)" | ||
| elif target.kind == "alias": | ||
| desc += f" ({target.platform}:{target.channel_id})" | ||
| target_descriptions.append(desc) | ||
|
|
||
| if target_descriptions: | ||
| context_parts.append( | ||
| f"Reachable delivery targets: {', '.join(target_descriptions)}." | ||
| ) | ||
|
|
||
| if context_parts: | ||
| system_prompt += f"\n\n## Session Context\n" + "\n".join(context_parts) |
There was a problem hiding this comment.
Session-context prompt content is being cached across turns/users
This block injects per-turn origin/reachable_targets, but the system-prompt cache key is still static (role/goal/tools). Result: one user/session’s context can be reused in another user/session prompt.
💡 Suggested fix
- # Add session context (platform awareness) if available
+ # Add session context (platform awareness) if available
+ has_dynamic_session_context = False
try:
from ..session.context import get_session_context
session_ctx = get_session_context()
# Format session context into prompt if origin or targets are present
if session_ctx.origin or session_ctx.reachable_targets:
+ has_dynamic_session_context = True
context_parts = []
@@
- if cache_key:
+ if cache_key and not has_dynamic_session_context:
self._cache_put(self._system_prompt_cache, cache_key, system_prompt)🧰 Tools
🪛 Ruff (0.15.17)
[error] 177-177: f-string without any placeholders
Remove extraneous f prefix
(F541)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@src/praisonai-agents/praisonaiagents/agent/chat_mixin.py` around lines 138 -
177, The session context information (origin and reachable_targets) is being
added to the system_prompt after it may have been retrieved from a cache that
uses only role/goal/tools as the cache key. This causes the session-specific
context from one user/turn to potentially be reused in another user's prompt,
creating a security and correctness issue. Move the session context injection
block outside of any prompt caching mechanism, ensuring that the cached base
system_prompt is retrieved first and then the per-turn session context is
appended to it separately for each invocation, rather than being part of the
cached content.
| except (ImportError, Exception): | ||
| # Session context not available or error, continue without it | ||
| pass |
There was a problem hiding this comment.
Don’t swallow all session-context injection failures silently
The broad except (ImportError, Exception): pass suppresses real runtime bugs and makes this feature non-debuggable when it fails.
💡 Suggested fix
- except (ImportError, Exception):
- # Session context not available or error, continue without it
- pass
+ except ImportError:
+ # Session context module not available; continue without it.
+ pass
+ except Exception as e:
+ logging.debug(
+ "Session context injection failed for agent %s; continuing without it: %s",
+ getattr(self, "name", "<unknown>"),
+ e,
+ exc_info=True,
+ )🧰 Tools
🪛 Ruff (0.15.17)
[error] 178-180: try-except-pass detected, consider logging the exception
(S110)
[warning] 178-178: Do not catch blind exception: Exception
(BLE001)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@src/praisonai-agents/praisonaiagents/agent/chat_mixin.py` around lines 178 -
180, The exception handling in the chat_mixin.py file is too broad by catching
both ImportError and Exception generically and silently passing without any
logging. Replace the broad except clause that catches (ImportError, Exception)
with more specific error handling: catch only ImportError for cases where the
session context module is not available, and use a logger to emit a warning when
this expected import failure occurs. For any other unexpected exceptions, either
let them propagate (remove from the except clause) or log them as errors before
continuing. This way, real runtime bugs will be visible during debugging rather
than silently suppressed.
Source: Linters/SAST tools
| if self._inject_session_context: | ||
| # Detect chat type and build origin | ||
| from .delivery import detect_chat_type | ||
| chat_type = detect_chat_type(self._platform, chat_id) | ||
| origin = Origin( | ||
| platform=self._platform, | ||
| chat_type=chat_type, | ||
| display_name=chat_name or chat_id, | ||
| thread_id=thread_id, |
There was a problem hiding this comment.
Undefined chat_name breaks enriched origin construction
At Line 292, chat_name is not defined in BotSessionManager.chat(). This raises NameError, gets swallowed by the surrounding except, and silently disables session-context enrichment for the turn.
💡 Suggested fix
if self._inject_session_context:
# Detect chat type and build origin
from .delivery import detect_chat_type
chat_type = detect_chat_type(self._platform, chat_id)
+ display_name = chat_id
origin = Origin(
platform=self._platform,
chat_type=chat_type,
- display_name=chat_name or chat_id,
+ display_name=display_name,
thread_id=thread_id,
)If friendly names are required, thread an explicit chat_name parameter through the chat() API and call sites before using it.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if self._inject_session_context: | |
| # Detect chat type and build origin | |
| from .delivery import detect_chat_type | |
| chat_type = detect_chat_type(self._platform, chat_id) | |
| origin = Origin( | |
| platform=self._platform, | |
| chat_type=chat_type, | |
| display_name=chat_name or chat_id, | |
| thread_id=thread_id, | |
| if self._inject_session_context: | |
| # Detect chat type and build origin | |
| from .delivery import detect_chat_type | |
| chat_type = detect_chat_type(self._platform, chat_id) | |
| display_name = chat_id | |
| origin = Origin( | |
| platform=self._platform, | |
| chat_type=chat_type, | |
| display_name=display_name, | |
| thread_id=thread_id, |
🧰 Tools
🪛 Ruff (0.15.17)
[error] 292-292: Undefined name chat_name
(F821)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@src/praisonai/praisonai/bots/_session.py` around lines 285 - 293, The
variable chat_name used at line 292 in the Origin construction is not defined in
the BotSessionManager.chat() method, causing a NameError that gets silently
caught and disables session-context enrichment. Add chat_name as an explicit
parameter to the BotSessionManager.chat() method signature and update all call
sites that invoke this method to pass the chat_name argument through. This will
ensure the variable is available when constructing the Origin object with
display_name=chat_name or chat_id.
Source: Linters/SAST tools
| if platform_lower == "telegram": | ||
| if chat_id.startswith("-100"): | ||
| return "channel" # Supergroup/channel | ||
| elif chat_id.startswith("-"): |
There was a problem hiding this comment.
Avoid hard-coding Telegram -100 chats as channel.
Line 37 classifies every -100... chat ID as channel, but the comment on Line 37 already notes this space includes supergroups too. This can inject incorrect origin.chat_type into prompt context and skew channel-aware behavior. Use a safer fallback (unknown) unless you have explicit metadata to disambiguate.
Suggested fix
if platform_lower == "telegram":
if chat_id.startswith("-100"):
- return "channel" # Supergroup/channel
+ # Ambiguous without additional Telegram metadata
+ return "unknown"
elif chat_id.startswith("-"):
return "group" # Regular group
else:
return "direct" # Direct message📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if platform_lower == "telegram": | |
| if chat_id.startswith("-100"): | |
| return "channel" # Supergroup/channel | |
| elif chat_id.startswith("-"): | |
| if platform_lower == "telegram": | |
| if chat_id.startswith("-100"): | |
| # Ambiguous without additional Telegram metadata | |
| return "unknown" | |
| elif chat_id.startswith("-"): |
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@src/praisonai/praisonai/bots/delivery.py` around lines 35 - 38, The logic in
the get_chat_type method for Telegram is hard-coding all chat IDs starting with
"-100" as "channel", but this classification is unsafe since Telegram's "-100"
prefix is used for both channels and supergroups. Replace the return statement
that classifies "-100" prefixed chat IDs as "channel" with a safer fallback that
returns "unknown" instead, since explicit metadata is needed to properly
disambiguate between channels and supergroups in the "-100" chat ID space.
|
@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding. Phase 1: Review per AGENTS.md
Phase 2: FIX Valid Issues Phase 3: Final Verdict |
|
Claude finished @MervinPraison's task —— View job Architecture Review Complete ✅Phase 1: Architecture Compliance✅ Protocol-driven: Correctly follows the pattern with Phase 2: Fixed Critical IssuesAll critical bugs identified by reviewers have been addressed:
Files ModifiedPhase 3: Final Verdict✅ APPROVED - All architectural requirements met and critical bugs fixed. The implementation now:
The PR is ready to merge. |
- Fix undefined chat_name variable causing NameError and session context loss - Move session context injection AFTER caching to prevent cross-user leakage - Improve exception handling with specific ImportError and debug logging - Fix Telegram chat type detection to return 'unknown' for ambiguous -100 prefix - Remove redundant double asdict() serialization in SessionContext.to_dict() - Delete unused SessionContextProvider class that duplicated code Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
| # Cache the base system prompt BEFORE adding session context | ||
| # Session context is per-turn and should not be cached | ||
| if cache_key: | ||
| self._cache_put(self._system_prompt_cache, cache_key, system_prompt) |
There was a problem hiding this comment.
The cache write was moved from the very end of the function to before the tool-usage instructions and ## Security trust block are appended. On a cache hit (lines 72-74) the function returns cached_prompt immediately, so every invocation after the first for the same role:goal:tools_key receives a system prompt that is silently missing the tool-list paragraph and the security/trust instructions. The original placement cached the fully-assembled prompt; this change strips those sections out of every subsequent turn.
1 participant
Fixes #2157
Summary
Gateway agents now have full platform awareness - they know where messages come from and which channels they can deliver to. The agent's system prompt is automatically enriched with session context including origin (platform, chat type, display name) and reachable delivery targets.
Changes
Benefits
This enables agents to:
Architecture
Following the protocol-driven design:
Testing
Severity
High - This was blocking cross-platform delivery and 'deliver elsewhere' requests, which are core promises of a multi-platform gateway.
Summary by CodeRabbit
Release Notes