Deepseek R1 integration for Agent Interactions #236
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WalkthroughThis pull request introduces support for a new AI provider, DeepSeek, across multiple modules. The changes span provider configuration, secret management, and API routing. The implementation adds new methods for retrieving global AI providers, updates secret management to handle the new provider, and modifies dependencies to include DeepSeek-related libraries. The modifications enhance the system's flexibility in managing AI providers while maintaining existing functionality. Changes
Sequence DiagramsequenceDiagram
participant User
participant ProviderAPI
participant ProviderController
participant ProviderService
participant SecretManager
User->>ProviderAPI: Request global AI provider
ProviderAPI->>ProviderController: get_global_ai_provider(user_id)
ProviderController->>ProviderService: get_global_ai_provider(user_id)
ProviderService->>SecretManager: Retrieve provider configuration
SecretManager-->>ProviderService: Return provider details
ProviderService-->>ProviderController: Return global AI provider
ProviderController-->>ProviderAPI: Return provider information
ProviderAPI->>User: Respond with global AI provider
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Actionable comments posted: 3
🧹 Nitpick comments (8)
app/modules/intelligence/provider/provider_service.py (4)
32-32: Consider extracting base URL to a configuration variable.Hard-coding
"https://openrouter.ai/api/v1"might complicate maintenance if the endpoint changes. Extracting it as an environment variable or config setting could improve flexibility.
140-141: Unused parametersizein_get_provider_config.Though the method signature mentions
size, it’s never used in the method body. Remove or utilize this parameter to avoid confusion.- def _get_provider_config(self, size: str) -> str: + def _get_provider_config(self) -> str: """Get the preferred provider configuration for the current user."""
152-157: Use consistent environment variable naming.Instead of
isDevelopmentMode, consider standardizing asISDEVELOPMENTMODE. This aligns with environment variable conventions and static analysis hints.- if os.getenv("isDevelopmentMode") == "enabled": + if os.getenv("ISDEVELOPMENTMODE") == "enabled":🧰 Tools
🪛 Ruff (0.8.2)
154-154: Use capitalized environment variable
ISDEVELOPMENTMODEinstead ofisDevelopmentMode(SIM112)
Line range hint
261-289: Inconsistent handling for DeepSeek preference.
get_preferred_llmauto-converts DeepSeek to OpenAI, which contradicts the user’s stated preference. Confirm this is intentional. If so, consider adding a docstring or comment clarifying why DeepSeek usage is deferred.app/modules/key_management/secrets_schema.py (1)
24-25: Combine condition branches to reduce duplication.You can simplify logic by merging the consecutive checks for
sk-ant-andsk-. This helps maintain readability and reduces nested conditionals.- elif v.startswith("sk-ant-"): - return v - elif v.startswith("sk-"): - return v + elif v.startswith("sk-ant-") or v.startswith("sk-"): + return v🧰 Tools
🪛 Ruff (0.8.2)
22-25: Combine
ifbranches using logicaloroperatorCombine
ifbranches(SIM114)
app/modules/intelligence/provider/provider_controller.py (1)
37-45: Exception chaining for clearer tracebacks.Raising an exception with
raise HTTPException(...) from ecan improve debugging. Otherwise, this code is solid for exposing backend errors gracefully.- raise HTTPException(status_code=500, detail=f"Error getting AI provider: {str(e)}") + raise HTTPException(status_code=500, detail=f"Error getting AI provider: {str(e)}") from e🧰 Tools
🪛 Ruff (0.8.2)
42-44: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
app/modules/intelligence/provider/provider_router.py (1)
39-47: LGTM! Clean implementation of the global AI provider endpoint.The implementation follows existing patterns and properly handles authentication and database session management.
Consider addressing the static analysis hint about
Dependscalls in argument defaults by moving them inside the function:- async def get_global_ai_provider( - db: Session = Depends(get_db), - user=Depends(AuthService.check_auth), - ): + async def get_global_ai_provider(): + db: Session = Depends(get_db) + user = Depends(AuthService.check_auth)🧰 Tools
🪛 Ruff (0.8.2)
42-42: Do not perform function call
Dependsin argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable(B008)
43-43: Do not perform function call
Dependsin argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable(B008)
app/modules/key_management/secret_manager.py (1)
124-128: Consider improving the comment about key storage limitation.The comment "because user can only store one key for now" could be more descriptive.
- #because user can only store one key for now + # Fall back to user's preferred LLM provider since the system currently supports storing only one API key per user
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📒 Files selected for processing (7)
app/modules/intelligence/provider/provider_controller.py(1 hunks)app/modules/intelligence/provider/provider_router.py(1 hunks)app/modules/intelligence/provider/provider_service.py(6 hunks)app/modules/key_management/secret_manager.py(5 hunks)app/modules/key_management/secrets_schema.py(3 hunks)app/modules/parsing/graph_construction/parsing_service.py(1 hunks)requirements.txt(3 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
app/modules/intelligence/provider/provider_controller.py
42-44: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
app/modules/intelligence/provider/provider_router.py
42-42: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
43-43: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
app/modules/key_management/secrets_schema.py
22-25: Combine if branches using logical or operator
Combine if branches
(SIM114)
app/modules/key_management/secret_manager.py
49-49: Use capitalized environment variable ISDEVELOPMENTMODE instead of isDevelopmentMode
(SIM112)
186-186: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
187-187: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
189-189: Use capitalized environment variable ISDEVELOPMENTMODE instead of isDevelopmentMode
(SIM112)
app/modules/intelligence/provider/provider_service.py
154-154: Use capitalized environment variable ISDEVELOPMENTMODE instead of isDevelopmentMode
(SIM112)
168-168: Use capitalized environment variable ISDEVELOPMENTMODE instead of isDevelopmentMode
(SIM112)
218-218: Use os.getenv("isDevelopmentMode") != "enabled" instead of not os.getenv("isDevelopmentMode") == "enabled"
Replace with != operator
(SIM201)
218-218: Use capitalized environment variable ISDEVELOPMENTMODE instead of isDevelopmentMode
(SIM112)
226-226: Use of functools.lru_cache or functools.cache on methods can lead to memory leaks
(B019)
🔇 Additional comments (9)
app/modules/intelligence/provider/provider_service.py (4)
10-10: Good addition to support DeepSeek.Importing
ChatDeepSeekensures your code can integrate with the new provider. Confirm that thelangchain_deepseeklibrary is installed and properly versioned.
50-54: DeepSeek listing is consistent with other providers.Including
DeepSeekinlist_available_llmsis consistent and ensures it is discoverable by users.
88-138: Solid use of a structured config dictionary.The
MODEL_CONFIGSdictionary is well-organized, mapping provider and model size. This approach simplifies expansions. Keep an eye on version increments, and consider referencing environment variables or central configuration if models update frequently.
234-238: Watch out for forced fallback to OpenAI.Overriding
provider = "openai"whendeepseekis selected may confuse users expecting the DeepSeek small model. Consider making the fallback logic transparent by logging or removing once DeepSeek is fully supported.app/modules/key_management/secrets_schema.py (2)
9-9: Seamless extension for new provider.Expanding the
providerliteral to"deepseek"is consistent with the rest of this PR. Ensures type safety with minimal changes.
39-41: Good validation for DeepSeek’s API key format.Verifying that the key starts with
sk-or-ensures correct usage and prevents accidental misconfiguration.app/modules/key_management/secret_manager.py (2)
48-59: LGTM! Clean addition of DeepSeek provider support.The implementation follows the existing pattern and properly handles the new provider.
🧰 Tools
🪛 Ruff (0.8.2)
49-49: Use capitalized environment variable
ISDEVELOPMENTMODEinstead ofisDevelopmentMode(SIM112)
192-221: Review the bulk deletion implementation for potential race conditions.The bulk deletion implementation looks solid but consider these aspects:
- Transaction handling for multiple deletions
- Potential race conditions during preference updates
- Partial failure scenarios
Let's verify the transaction handling in the codebase:
✅ Verification successful
Bulk deletion implementation is safe from race conditions
The implementation is safe because:
- Secret deletions are independent operations with individual error tracking
- User preference updates are atomic single-row operations
- Failed deletions don't affect other operations
- The code properly handles partial failures and maintains consistency
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for transaction handling patterns in secret management rg -A 5 "BEGIN|COMMIT|ROLLBACK" app/modules/key_management/Length of output: 61
Script:
#!/bin/bash # Search for database session and transaction patterns rg -B 2 -A 5 "Session|session|db\." app/modules/key_management/ # Look for concurrent access mechanisms rg -B 2 -A 5 "lock|Lock|mutex|Mutex|concurrent|Concurrent" app/modules/key_management/ # Check for any transaction context managers ast-grep --pattern 'with $_: $$$'Length of output: 66958
Script:
#!/bin/bash # Search for concurrent user preference access patterns rg -B 2 -A 5 "UserPreferences" app/modules/key_management/ rg -B 2 -A 5 "preferences" app/modules/key_management/ # Check for any other methods modifying user preferences ast-grep --pattern 'def $_($$$) { $$$ user_pref.preferences$$$ $$$ }'Length of output: 12225
requirements.txt (1)
20-27: Verify compatibility between langchain components.The updates to langchain and its components are significant. Ensure all versions are compatible:
- langchain==0.3.16
- langchain-anthropic==0.3.4
- langchain-deepseek-official==0.1.0
- langchain-community==0.3.16
- langchain-core==0.3.32
- langchain-openai==0.3.2
✅ Verification successful
✓ LangChain component versions are compatible
All specified versions are available in PyPI and are either the latest or one version behind the current releases. The consistent versioning pattern (0.3.x) across core packages indicates good compatibility.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for compatibility issues in dependencies pip install pip-audit pip-audit langchain==0.3.16 langchain-anthropic==0.3.4 langchain-deepseek-official==0.1.0 langchain-community==0.3.16 langchain-core==0.3.32 langchain-openai==0.3.2Length of output: 5151
Script:
#!/bin/bash # Check package metadata and dependencies for pkg in "langchain==0.3.16" "langchain-core==0.3.32" "langchain-community==0.3.16" "langchain-anthropic==0.3.4" "langchain-openai==0.3.2" "langchain-deepseek-official==0.1.0"; do echo "Checking $pkg..." pip index versions "$pkg" pip show "$pkg" echo "---" doneLength of output: 3683
Script:
#!/bin/bash # Check latest available versions for pkg in "langchain" "langchain-core" "langchain-community" "langchain-anthropic" "langchain-openai" "langchain-deepseek-official"; do echo "Latest version for $pkg:" pip index versions "$pkg" 2>/dev/null || echo "Package not found" doneLength of output: 7571
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| @lru_cache(maxsize=3) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Leverage caution with caching on methods.
functools.lru_cache on an instance method might risk sporadic memory usage. Ensure get_large_llm usage is stable and that cache invalidation occurs if DB-based preferences change. Otherwise, consider removing or refining the cache usage.
🧰 Tools
🪛 Ruff (0.8.2)
226-226: Use of functools.lru_cache or functools.cache on methods can lead to memory leaks
(B019)
| graph_constructor = GraphConstructor(user_id, extracted_dir) | ||
| n, r = graph_constructor.build_graph() | ||
| graph_manager.create_nodes(n) | ||
| graph_manager.create_edges(r) | ||
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| graph_manager.close() |
There was a problem hiding this comment.
Fix potential resource leak in graph manager closure.
The graph_manager.close() is called twice: once after creating edges and again in the finally block. This could lead to attempting to close an already closed connection.
- graph_constructor = GraphConstructor(user_id, extracted_dir)
- n, r = graph_constructor.build_graph()
- graph_manager.create_nodes(n)
- graph_manager.create_edges(r)
- graph_manager.close()
+ graph_constructor = GraphConstructor(user_id, extracted_dir)
+ n, r = graph_constructor.build_graph()
+ graph_manager.create_nodes(n)
+ graph_manager.create_edges(r)📝 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.
| graph_constructor = GraphConstructor(user_id, extracted_dir) | |
| n, r = graph_constructor.build_graph() | |
| graph_manager.create_nodes(n) | |
| graph_manager.create_edges(r) | |
| graph_manager.close() | |
| graph_constructor = GraphConstructor(user_id, extracted_dir) | |
| n, r = graph_constructor.build_graph() | |
| graph_manager.create_nodes(n) | |
| graph_manager.create_edges(r) |
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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Summary by CodeRabbit
Release Notes
New Features
Improvements
Dependency Updates
Bug Fixes