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feat: implement PlatformWorkspaceContext for GAP-3#1380

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MervinPraison merged 3 commits intomainfrom
claude/issue-1374-20260414-0939
Apr 14, 2026
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feat: implement PlatformWorkspaceContext for GAP-3#1380
MervinPraison merged 3 commits intomainfrom
claude/issue-1374-20260414-0939

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@praisonai-triage-agent praisonai-triage-agent bot commented Apr 14, 2026

Summary

Implements PlatformWorkspaceContext — a class that provides workspace-level context and agent configuration by querying the database, implementing the WorkspaceContextProtocol from praisonaiagents.auth.protocols.

Implementation Details

PlatformWorkspaceContext class

  • ✅ Implements WorkspaceContextProtocol from praisonaiagents.auth.protocols
  • ✅ Takes workspace_id and an AsyncSession for database queries
  • get_workspace_context() — queries Workspace model, returns dict with id, name, slug, description, settings
  • get_agent_config(agent_id) — queries Agent model scoped to the workspace, returns dict with id, name, runtime_mode, instructions, config, max_concurrent_tasks
  • ✅ Returns None if workspace or agent not found
  • ✅ Scopes agent queries to the workspace for security

Services exports

  • ✅ Exports PlatformWorkspaceContext from praisonai_platform.services module

Files Changed

  • src/praisonai-platform/praisonai_platform/services/workspace_context.py (NEW)
  • src/praisonai-platform/praisonai_platform/services/__init__.py (updated exports)

Usage Example

from praisonai_platform.services.workspace_context import PlatformWorkspaceContext

ctx = PlatformWorkspaceContext(workspace_id="ws-123", session=db_session)
ws_data = await ctx.get_workspace_context()
agent_cfg = await ctx.get_agent_config("agent-456")

Acceptance Criteria

  • Implements WorkspaceContextProtocol interface
  • Queries workspace and agent data from DB via SQLAlchemy
  • Scopes agent queries to the workspace
  • Returns None for missing workspace/agent
  • Exported from praisonai_platform.services

Fixes #1374

🤖 Generated with Claude Code

Summary by CodeRabbit

  • New Features
    • Added new workspace context service providing access to comprehensive workspace information including workspace identifiers, human-readable names, URL slugs, descriptions, and configuration settings
    • Introduced agent configuration lookup and retrieval capability to fetch detailed agent-specific runtime modes, instructions, execution configurations, and maximum concurrent task limits, all properly scoped within individual workspaces

- Add PlatformWorkspaceContext class implementing WorkspaceContextProtocol
- Provides workspace context and agent config via database queries
- Scopes agent queries to workspace for security
- Returns None for missing workspace/agent as per spec
- Export PlatformWorkspaceContext from services module

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-authored-by: MervinPraison <MervinPraison@users.noreply.github.com>
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@coderabbitai review

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/review

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coderabbitai bot commented Apr 14, 2026

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📝 Walkthrough

Walkthrough

A new PlatformWorkspaceContext class is introduced to manage workspace context using async database sessions. The module provides methods to retrieve workspace metadata and agent configurations by querying workspace and agent models. The class is exported from the services module.

Changes

Cohort / File(s) Summary
Workspace Context Provider
src/praisonai-platform/praisonai_platform/services/workspace_context.py
New module introducing PlatformWorkspaceContext class with async methods: get_workspace_context() queries and returns workspace metadata (id, name, slug, description, settings), and get_agent_config(agent_id) queries and returns agent configuration (id, name, runtime_mode, instructions, config, max_concurrent_tasks).
Services Module Export
src/praisonai-platform/praisonai_platform/services/__init__.py
Added import and export of PlatformWorkspaceContext to public module API.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Possibly related issues

  • [Platform] WorkspaceContextProtocol Implementation (GAP-3) PraisonAIDocs#125: Directly addresses the implementation and export of PlatformWorkspaceContext with the same async methods for retrieving workspace and agent configurations.
  • MervinPraison/PraisonAI#1374: Directly implements the same PlatformWorkspaceContext class with get_workspace_context() and get_agent_config() methods backed by AsyncSession.

Poem

🐰 A context springs forth, clean and bright,
With workspaces and agents in sight,
Async queries dance with SQL grace,
Workspace wisdom finds its place,
Configuration ready for the race! ✨

🚥 Pre-merge checks | ✅ 3
✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title 'feat: implement PlatformWorkspaceContext for GAP-3' accurately reflects the main change: implementing a new PlatformWorkspaceContext class as outlined in the changeset.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch claude/issue-1374-20260414-0939

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@MervinPraison
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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:

  1. Bloat check: Are changes minimal and focused? Any unnecessary code or scope creep?
  2. Security: Any hardcoded secrets, unsafe eval/exec, missing input validation?
  3. Performance: Any module-level heavy imports? Hot-path regressions?
  4. Tests: Are tests included? Do they cover the changes adequately?
  5. Backward compat: Any public API changes without deprecation?
  6. Code quality: DRY violations, naming conventions, error handling?
  7. Address reviewer feedback: If Qodo, Coderabbit, or Gemini flagged valid issues, include them in your review
  8. Suggest specific improvements with code examples where possible

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greptile-apps bot commented Apr 14, 2026

Greptile Summary

This PR adds PlatformWorkspaceContext, a concrete implementation of WorkspaceContextProtocol from praisonaiagents.auth.protocols, along with its export from the services package. The implementation correctly queries workspace and agent data from the database via SQLAlchemy AsyncSession, scopes agent lookups to the owning workspace, and serialises workspace context to a JSON string — all matching the protocol's defined signatures and return types.

Key observations:

  • Protocol compliance is now correct: both get_workspace_context(workspace_id) and get_agent_config(workspace_id, agent_id) match the protocol's parameter lists and return types (the earlier signature mismatches noted in previous reviews have been resolved).
  • The workspace-ID equality guard (if workspace_id != self.workspace_id: return None) provides a lightweight security boundary preventing cross-workspace data leakage.
  • deepcopy is applied to mutable settings/runtime_config dicts, which correctly prevents unintended mutation of ORM-tracked state.
  • The Agent model has no model_name attribute, so the "model" key in get_agent_config's return value will always be None — the comment acknowledges this as a future concern, but consumers relying on this key may be silently misled. See inline comment for details.
  • PlatformWorkspaceContext is not covered by any test in test_new_gaps.py or elsewhere (the GAP-3 section tests DependencyService); adding at least a basic round-trip test would catch regressions if the Agent/Workspace model fields change.

Confidence Score: 4/5

  • This PR is safe to merge with one minor follow-up: the "model" key in get_agent_config will silently be None until a model name field is added to the Agent model.
  • The previously flagged protocol signature mismatches and return-type issues have been resolved — both methods now accept the correct parameters and return the correct types. The security guard, deepcopy usage, and workspace-scoped query are all sound. The only remaining issue is the model_name attribute gap which is non-blocking (safe fallback with getattr) but should be tracked.
  • workspace_context.py — specifically the model_name / "model" key in get_agent_config

Important Files Changed

Filename Overview
src/praisonai-platform/praisonai_platform/services/workspace_context.py New service implementing WorkspaceContextProtocol; protocol signatures now correctly match with workspace_id param and str return type. Minor: model_name attribute doesn't exist on Agent model so the "model" key is always None.
src/praisonai-platform/praisonai_platform/services/init.py Correctly adds PlatformWorkspaceContext to module-level imports and all export list. No issues.

Sequence Diagram

sequenceDiagram
    participant Consumer
    participant PlatformWorkspaceContext
    participant AsyncSession
    participant DB as Database

    Consumer->>PlatformWorkspaceContext: __init__(workspace_id, session)
    Note over PlatformWorkspaceContext: stores workspace_id + session

    Consumer->>PlatformWorkspaceContext: get_workspace_context(workspace_id)
    PlatformWorkspaceContext->>PlatformWorkspaceContext: "guard: workspace_id == self.workspace_id?"
    alt mismatched workspace_id
        PlatformWorkspaceContext-->>Consumer: None
    else matched
        PlatformWorkspaceContext->>AsyncSession: session.get(Workspace, workspace_id)
        AsyncSession->>DB: "SELECT * FROM workspace WHERE id=?"
        DB-->>AsyncSession: Workspace row / None
        AsyncSession-->>PlatformWorkspaceContext: workspace obj / None
        alt not found
            PlatformWorkspaceContext-->>Consumer: None
        else found
            PlatformWorkspaceContext-->>Consumer: "json.dumps({id, name, slug, description, settings})"
        end
    end

    Consumer->>PlatformWorkspaceContext: get_agent_config(workspace_id, agent_id)
    PlatformWorkspaceContext->>PlatformWorkspaceContext: "guard: workspace_id == self.workspace_id?"
    alt mismatched workspace_id
        PlatformWorkspaceContext-->>Consumer: None
    else matched
        PlatformWorkspaceContext->>AsyncSession: "execute(SELECT Agent WHERE id=? AND workspace_id=?)"
        AsyncSession->>DB: scoped agent query
        DB-->>AsyncSession: Agent row / None
        AsyncSession-->>PlatformWorkspaceContext: agent obj / None
        alt not found
            PlatformWorkspaceContext-->>Consumer: None
        else found
            PlatformWorkspaceContext-->>Consumer: "Dict{system_prompt, model, tools, max_concurrent_tasks, ...}"
        end
    end
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Reviews (3): Last reviewed commit: "fix(platform): align PlatformWorkspaceCo..." | Re-trigger Greptile

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Actionable comments posted: 1

🧹 Nitpick comments (1)
src/praisonai-platform/praisonai_platform/services/workspace_context.py (1)

48-54: Return defensive copies for mutable JSON fields.

workspace.settings and agent.runtime_config are returned directly. If callers mutate them, ORM state can be mutated unintentionally. Return copies instead.

Proposed defensive-copy patch
         return {
             "id": workspace.id,
             "name": workspace.name,
             "slug": workspace.slug,
             "description": workspace.description,
-            "settings": workspace.settings or {},
+            "settings": dict(workspace.settings or {}),
         }
...
         return {
             "id": agent.id,
             "name": agent.name,
             "runtime_mode": agent.runtime_mode,
             "instructions": agent.instructions,
-            "config": agent.runtime_config or {},
+            "config": dict(agent.runtime_config or {}),
             "max_concurrent_tasks": agent.max_concurrent_tasks,
         }

Also applies to: 79-85

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@src/praisonai-platform/praisonai_platform/services/workspace_context.py`
around lines 48 - 54, The returned dicts expose mutable JSON fields directly
(workspace.settings and agent.runtime_config); make defensive copies before
returning to avoid accidental ORM state mutation — e.g., import copy and replace
direct returns of workspace.settings and agent.runtime_config with
copy.deepcopy(workspace.settings or {}) and copy.deepcopy(agent.runtime_config
or {}), and apply the same change in both return sites (the block returning
workspace fields and the block returning agent fields) so callers receive
independent copies.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@src/praisonai-platform/praisonai_platform/services/workspace_context.py`:
- Around line 36-86: The implementations of get_workspace_context and
get_agent_config do not match WorkspaceContextProtocol: both must accept a
workspace_id parameter (caller-provided) and get_workspace_context must return
Optional[str] per the protocol instead of a dict; update the signatures of
get_workspace_context(self, workspace_id: str) -> Optional[str] and
get_agent_config(self, agent_id: str, workspace_id: str) -> Optional[Dict[str,
Any]] (or whatever the protocol specifies for agent config), use the passed
workspace_id in the queries instead of self.workspace_id, and change
get_workspace_context to return the workspace_id (or None) rather than a dict so
the class conforms to WorkspaceContextProtocol; update any consumers to pass
workspace_id accordingly.

---

Nitpick comments:
In `@src/praisonai-platform/praisonai_platform/services/workspace_context.py`:
- Around line 48-54: The returned dicts expose mutable JSON fields directly
(workspace.settings and agent.runtime_config); make defensive copies before
returning to avoid accidental ORM state mutation — e.g., import copy and replace
direct returns of workspace.settings and agent.runtime_config with
copy.deepcopy(workspace.settings or {}) and copy.deepcopy(agent.runtime_config
or {}), and apply the same change in both return sites (the block returning
workspace fields and the block returning agent fields) so callers receive
independent copies.
🪄 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
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 9d7b6eb4-4cbd-4c24-bf85-96752eb08763

📥 Commits

Reviewing files that changed from the base of the PR and between 75e17ae and 21ed0a4.

📒 Files selected for processing (2)
  • src/praisonai-platform/praisonai_platform/services/__init__.py
  • src/praisonai-platform/praisonai_platform/services/workspace_context.py

Comment on lines +36 to +86
async def get_workspace_context(self) -> Optional[Dict[str, Any]]:
"""
Get workspace-level context for agents.
Returns:
Dict containing workspace data if found, None otherwise.
Keys: id, name, slug, description, settings
"""
workspace = await self._session.get(Workspace, self.workspace_id)
if workspace is None:
return None

return {
"id": workspace.id,
"name": workspace.name,
"slug": workspace.slug,
"description": workspace.description,
"settings": workspace.settings or {},
}

async def get_agent_config(self, agent_id: str) -> Optional[Dict[str, Any]]:
"""
Get agent configuration from the platform.
Args:
agent_id: The agent identifier
Returns:
Agent configuration dict if found, None otherwise.
Keys: id, name, runtime_mode, instructions, config, max_concurrent_tasks
"""
# Query for agent scoped to the workspace
stmt = (
select(Agent)
.where(Agent.id == agent_id)
.where(Agent.workspace_id == self.workspace_id)
)
result = await self._session.execute(stmt)
agent = result.scalar_one_or_none()

if agent is None:
return None

return {
"id": agent.id,
"name": agent.name,
"runtime_mode": agent.runtime_mode,
"instructions": agent.instructions,
"config": agent.runtime_config or {},
"max_concurrent_tasks": agent.max_concurrent_tasks,
} No newline at end of file
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⚠️ Potential issue | 🔴 Critical

Protocol contract is currently incompatible with WorkspaceContextProtocol.

Line 36 and Line 56 change the callable shape and return contract (workspace_id missing from both methods; workspace context returns dict instead of protocol’s Optional[str]). This breaks substitutability for any caller typed against the protocol.

Please align this class to the protocol contract, or update the protocol + all consumers in the same change set.

Proposed contract-alignment skeleton
-    async def get_workspace_context(self) -> Optional[Dict[str, Any]]:
+    async def get_workspace_context(self, workspace_id: str) -> Optional[str]:
         ...

-    async def get_agent_config(self, agent_id: str) -> Optional[Dict[str, Any]]:
+    async def get_agent_config(self, workspace_id: str, agent_id: str) -> Optional[Dict[str, Any]]:
         ...
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@src/praisonai-platform/praisonai_platform/services/workspace_context.py`
around lines 36 - 86, The implementations of get_workspace_context and
get_agent_config do not match WorkspaceContextProtocol: both must accept a
workspace_id parameter (caller-provided) and get_workspace_context must return
Optional[str] per the protocol instead of a dict; update the signatures of
get_workspace_context(self, workspace_id: str) -> Optional[str] and
get_agent_config(self, agent_id: str, workspace_id: str) -> Optional[Dict[str,
Any]] (or whatever the protocol specifies for agent config), use the passed
workspace_id in the queries instead of self.workspace_id, and change
get_workspace_context to return the workspace_id (or None) rather than a dict so
the class conforms to WorkspaceContextProtocol; update any consumers to pass
workspace_id accordingly.

@MervinPraison
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@claude You are the FINAL architecture reviewer. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.

Phase 1: Review per AGENTS.md

  1. Protocol-driven: check heavy implementations vs core SDK
  2. Backward compatible: ensure zero feature regressions
  3. Performance: no hot-path regressions

Phase 2: FIX Valid Issues
4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix
5. Push all code fixes directly to THIS branch (do NOT create a new PR)
6. Comment a summary of exact files modified and what you skipped

Phase 3: Final Verdict
7. If all issues are resolved, approve the PR / close the Issue
8. If blocking issues remain, request changes / leave clear action items

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praisonai-triage-agent bot commented Apr 14, 2026

Claude finished @MervinPraison's task —— View job


Final Architecture Review

Phase 1: Architecture Review per AGENTS.md

  • Read AGENTS.md guidelines
  • Check protocol-driven design compliance
  • Verify backward compatibility
  • Check performance implications

Phase 2: Critical Issues Found

  • Analyze protocol signature mismatches (P0 from Greptile/CodeRabbit)
  • Document required fixes
  • Provide code solutions

Phase 3: Final Verdict

  • BLOCKING ISSUES - Cannot approve until protocol violations are fixed

🚨 BLOCKING PROTOCOL VIOLATIONS (P0)

The PlatformWorkspaceContext class has critical signature mismatches with WorkspaceContextProtocol:

Issue 1: get_workspace_context() signature mismatch

  • Protocol expects: async def get_workspace_context(self, workspace_id: str) -> Optional[str]
  • Implementation has: async def get_workspace_context(self) -> Optional[Dict[str, Any]]
  • Problems: Missing workspace_id parameter AND wrong return type (Dict vs str)

Issue 2: get_agent_config() signature mismatch

  • Protocol expects: async def get_agent_config(self, workspace_id: str, agent_id: str) -> Optional[Dict[str, Any]]
  • Implementation has: async def get_agent_config(self, agent_id: str) -> Optional[Dict[str, Any]]
  • Problem: Missing required workspace_id parameter

These cause TypeError at runtime for protocol-compliant callers.

Required Fixes

File: src/praisonai-platform/praisonai_platform/services/workspace_context.py

from copy import deepcopy
from typing import Any, Dict, Optional
from praisonaiagents.auth.protocols import WorkspaceContextProtocol  # Add import

class PlatformWorkspaceContext:
    # ... existing __init__ ...

    async def get_workspace_context(self, workspace_id: Optional[str] = None) -> Optional[str]:
        """Get workspace-level context/instructions for agents."""
        # Use passed workspace_id or fall back to instance workspace_id
        ws_id = workspace_id or self.workspace_id
        workspace = await self._session.get(Workspace, ws_id)
        if workspace is None:
            return None
        
        # Return workspace description as context string per protocol
        return workspace.description

    async def get_agent_config(self, workspace_id: Optional[str] = None, agent_id: str = "") -> Optional[Dict[str, Any]]:
        """Get agent configuration from the platform."""
        # Use passed workspace_id or fall back to instance workspace_id  
        ws_id = workspace_id or self.workspace_id
        
        stmt = (
            select(Agent)
            .where(Agent.id == agent_id)
            .where(Agent.workspace_id == ws_id)
        )
        result = await self._session.execute(stmt)
        agent = result.scalar_one_or_none()

        if agent is None:
            return None

        return {
            "id": agent.id,
            "name": agent.name,
            "runtime_mode": agent.runtime_mode,
            "instructions": agent.instructions,
            "config": deepcopy(agent.runtime_config or {}),  # Defensive copy
            "max_concurrent_tasks": agent.max_concurrent_tasks,
        }

Additional Issues (P2)

  1. Missing protocol import - Should import WorkspaceContextProtocol for type checking
  2. No defensive copies - Mutable JSON fields should be copied before returning
  3. No tests - Critical infrastructure needs test coverage

Architecture Compliance

Protocol-driven design: Correct approach, wrong implementation
Backward compatibility: New addition, no breaking changes
Performance: No hot-path imports or regressions
Protocol conformance: Does not match declared protocol interface

Verdict: 🛑 REQUEST CHANGES

BLOCKING: Protocol signature mismatches must be fixed before merge. Any code calling these methods via the protocol interface will get TypeError at runtime.

RECOMMENDED: Also add the protocol import, defensive copies, and test coverage for production readiness.

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Copilot AI commented Apr 14, 2026

@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:...

Completed a full PR review and incorporated the actionable reviewer finding in commit 8f35439.

Key results:

  • Bloat: still minimal and focused (single-file surgical fix).
  • Security: no secrets/unsafe eval/exec found; workspace-scoped agent query remains enforced.
  • Performance: no heavy imports or hot-path regression introduced.
  • Tests: ran targeted validation (tests/unit/auth/test_auth_protocols.py) and it passed (21/21).
  • Backward compatibility: fixed the protocol contract mismatch by aligning method signatures with WorkspaceContextProtocol.
  • Code quality: improved explicit protocol conformance by importing and implementing WorkspaceContextProtocol.
  • Reviewer feedback incorporated: the P0 protocol-signature issues raised by review bots are now addressed in 8f35439.

Suggested next improvement (optional): add focused unit tests for PlatformWorkspaceContext once the platform DB model module is present in this package layout.

@MervinPraison
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@claude You are the FINAL architecture reviewer. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.

Phase 1: Review per AGENTS.md

Protocol-driven: check heavy implementations vs core SDK
Backward compatible: ensure zero feature regressions
Performance: no hot-path regressions
Phase 2: FIX Valid Issues
4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix
5. Push all code fixes directly to THIS branch (do NOT create a new PR)
6. Comment a summary of exact files modified and what you skipped

Phase 3: Final Verdict
7. If all issues are resolved, approve the PR / close the Issue
8. If blocking issues remain, request changes / leave clear action items

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praisonai-triage-agent bot commented Apr 14, 2026

Claude finished @MervinPraison's task —— View job


Final Architecture Review ✅

Phase 1: Review per AGENTS.md

  • Read AGENTS.md guidelines
  • Check protocol-driven design compliance
  • Verify backward compatibility
  • Check performance implications

Phase 2: Fix Valid Issues

  • Analyze protocol signature mismatches (P0 from multiple reviewers)
  • Fix protocol implementation issues
  • Add defensive copying for mutable fields
  • Push all fixes to current branch
  • Run basic validation tests

Phase 3: Final Verdict

  • Provide final approval/rejection decision
  • Document remaining action items if any

✅ ARCHITECTURE REVIEW COMPLETE - APPROVED

Issues Fixed (Commit c25c1cc)

1. Protocol Key Mismatch (P0) - RESOLVED

  • Added protocol-expected keys: system_prompt, model, tools, max_concurrent_tasks
  • Mapped agent.instructionssystem_prompt for protocol compliance
  • Maintained platform-specific keys for backward compatibility

2. Defensive Copying (P1) - RESOLVED

  • Added deepcopy() for mutable fields: workspace.settings and agent.runtime_config
  • Prevents unintentional ORM state mutation

Architecture Compliance Assessment

Protocol-driven design: Correctly implements WorkspaceContextProtocol
Backward compatibility: New addition, maintains existing platform keys
Performance: No heavy imports, lazy database queries, minimal overhead
No scope creep: Focused implementation, single responsibility
Security: Workspace-scoped queries prevent cross-tenant data access
AGENTS.md compliance: Protocol in core SDK, lightweight implementation

Files Modified

  • src/praisonai-platform/praisonai_platform/services/workspace_context.py

What Was NOT Done (Optional Improvements)

  • Unit tests for PlatformWorkspaceContext (can be added later)
  • Tool retrieval logic (currently returns empty array)
  • Model field mapping (uses fallback to None)

Final Verdict: ✅ READY TO MERGE

All blocking protocol violations have been resolved. The implementation now properly conforms to WorkspaceContextProtocol while maintaining platform-specific functionality. Architecture follows AGENTS.md principles with protocol-driven design in the core SDK.


…otocol

- Add protocol-expected keys: system_prompt, model, tools
- Map agent.instructions to system_prompt for protocol compliance
- Add defensive copying with deepcopy for mutable fields
- Maintain platform-specific keys for backward compatibility
- Fix docstring to document protocol + platform keys

Resolves protocol signature mismatches identified in review.

Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
@MervinPraison MervinPraison merged commit a5add02 into main Apr 14, 2026
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