dynamically register models to endpoints #9

Merged
russellballestrini merged 1 commit from all-the-models into main 2025-02-10 17:08:11 -05:00
russellballestrini commented 2025-02-10 16:47:07 -05:00 (Migrated from git2.unturf.com)

Created by: russellballestrini

modified:   app.py

Summary by CodeRabbit

  • New Features
    • Enhanced support for multiple AI inference endpoints to improve service reliability and scalability.
    • Introduced dynamic routing that automatically selects the optimal service for consistent performance.
    • Upgraded AI interactions to deliver a smoother, more adaptable experience, ensuring responsiveness even under varying conditions.
    • Optimized overall processing for faster responses and reduced downtime.
*Created by: russellballestrini* modified: app.py <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Enhanced support for multiple AI inference endpoints to improve service reliability and scalability. - Introduced dynamic routing that automatically selects the optimal service for consistent performance. - Upgraded AI interactions to deliver a smoother, more adaptable experience, ensuring responsiveness even under varying conditions. - Optimized overall processing for faster responses and reduced downtime. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
russellballestrini commented 2025-02-10 16:47:15 -05:00 (Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Walkthrough

The changes introduce support for managing multiple OpenAI inference endpoints. A new global variable containing endpoint configurations is added, along with a function to initialize a model client map. A helper function retrieves the appropriate client based on the model name with fallback functionality. Additionally, the main function that previously managed client retrieval has been updated to utilize this new logic, allowing for a more scalable and flexible integration of multiple AI endpoints.

Changes

File(s) Change Summary
app.py - Moved the OpenAI import to a new position.
- Added global variable ENDPOINTS defining inference endpoints.
- Introduced initialize_model_map to populate MODEL_CLIENT_MAP using the endpoints.
- Added get_client_for_model to retrieve the appropriate OpenAI client.
- Updated get_openai_client_and_model to use the new client retrieval function.

Sequence Diagram(s)

sequenceDiagram
    participant Client as Requestor
    participant Main as get_openai_client_and_model
    participant Resolver as get_client_for_model
    participant Map as MODEL_CLIENT_MAP

    Client->>Main: Request client and model for given model_name
    Main->>Resolver: Invoke get_client_for_model(model_name)
    Resolver->>Map: Lookup model in MODEL_CLIENT_MAP
    Map-->>Resolver: Return corresponding client (or none)
    Resolver-->>Main: Return client or fallback client
    Main-->>Client: Return client and model

Poem

I'm a rabbit hopping through new lines of code,
Discovering endpoints where many paths explode.
Carrots of configuration sprout in my field,
With models and clients, a fresh harvest revealed.
Through circuits and bytes, I dance with delight,
Celebrating these changes from morning to night.
🥕🐇

Finishing Touches
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*Created by: coderabbitai[bot]* <!-- This is an auto-generated comment: summarize by coderabbit.ai --> <!-- walkthrough_start --> ## Walkthrough The changes introduce support for managing multiple OpenAI inference endpoints. A new global variable containing endpoint configurations is added, along with a function to initialize a model client map. A helper function retrieves the appropriate client based on the model name with fallback functionality. Additionally, the main function that previously managed client retrieval has been updated to utilize this new logic, allowing for a more scalable and flexible integration of multiple AI endpoints. ## Changes | File(s) | Change Summary | |---------|----------------| | `app.py` | - Moved the `OpenAI` import to a new position.<br> - Added global variable `ENDPOINTS` defining inference endpoints.<br> - Introduced `initialize_model_map` to populate `MODEL_CLIENT_MAP` using the endpoints.<br> - Added `get_client_for_model` to retrieve the appropriate OpenAI client.<br> - Updated `get_openai_client_and_model` to use the new client retrieval function. | ## Sequence Diagram(s) ```mermaid sequenceDiagram participant Client as Requestor participant Main as get_openai_client_and_model participant Resolver as get_client_for_model participant Map as MODEL_CLIENT_MAP Client->>Main: Request client and model for given model_name Main->>Resolver: Invoke get_client_for_model(model_name) Resolver->>Map: Lookup model in MODEL_CLIENT_MAP Map-->>Resolver: Return corresponding client (or none) Resolver-->>Main: Return client or fallback client Main-->>Client: Return client and model ``` ## Poem > I'm a rabbit hopping through new lines of code, > Discovering endpoints where many paths explode. > Carrots of configuration sprout in my field, > With models and clients, a fresh harvest revealed. > Through circuits and bytes, I dance with delight, > Celebrating these changes from morning to night. > 🥕🐇✨ <!-- walkthrough_end --> <!-- internal state start --> <!-- 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= --> <!-- internal state end --> <!-- finishing_touch_checkbox_start --> <details> <summary>✨ Finishing Touches</summary> - [ ] <!-- {"checkboxId": "7962f53c-55bc-4827-bfbf-6a18da830691"} --> 📝 Generate Docstrings (Beta) </details> <!-- finishing_touch_checkbox_end --> <!-- tips_start --> --- Thank you for using CodeRabbit. 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russellballestrini commented 2025-02-10 16:49:05 -05:00 (Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Review: Commented

Actionable comments posted: 1

🧹 Nitpick comments (4)
app.py (4)

52-94: Validate endpoint environment variables and consider missing or invalid values.

Defining all endpoints in a global list is a convenient approach. However, if any environment variable is unset, the corresponding base_url or api_key will be None or 'not-needed', which may cause unexpected behavior. Consider:

  • Adding validation or logs for missing environment variables.
  • Preventing runtime failures by handling (or skipping) endpoints lacking needed info.
  • Avoiding potential credential leaks in debug logs.

97-127: Add thread-safety checks or lazy initialization for initialize_model_map.

The function eagerly fetches and stores all models from each endpoint into a shared global map. While useful, be mindful if multiple threads invoke these endpoints concurrently. In some cases, a lazy or background initialization might be appropriate to reduce startup time.


129-136: Remove the no-op condition or justify its usage.

Since MODEL_CLIENT_MAP starts empty at import time, the if MODEL_CLIENT_MAP: pass branch may never execute on load. If there's no scenario where MODEL_CLIENT_MAP is pre-populated, consider removing the conditional to avoid confusion.


138-154: Cache the fallback client to avoid repeated instantiations.

When the model name is unrecognized, a new fallback client is created on every call. This could be costly or inconsistent in a high-traffic scenario. Consider defining a single fallback client stored in a global variable to reuse across calls.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 8fd77088e6 and 44170459fe.

📒 Files selected for processing (1)
  • app.py (3 hunks)
🔇 Additional comments (4)
app.py (4)

156-160: Straightforward helper function.

The default model name parameter and direct return of (client, model_name) is a clean design. No immediate issues found; the code is consistent with the rest of the file.


188-188: New system user entry looks fine.

Adding "codestral-latest" to the system_users list is straightforward and does not introduce any known issues.


3314-3314: No changes detected.

This line is effectively blank and doesn't introduce or remove any functionality.


3317-3320: ArgumentParser addition looks good.

The new parser setup with descriptive text is correct and aligned with standard argparse usage.

*Created by: coderabbitai[bot]* **Review:** Commented **Actionable comments posted: 1** <details> <summary>🧹 Nitpick comments (4)</summary><blockquote> <details> <summary>app.py (4)</summary><blockquote> `52-94`: **Validate endpoint environment variables and consider missing or invalid values.** Defining all endpoints in a global list is a convenient approach. However, if any environment variable is unset, the corresponding `base_url` or `api_key` will be `None` or `'not-needed'`, which may cause unexpected behavior. Consider: - Adding validation or logs for missing environment variables. - Preventing runtime failures by handling (or skipping) endpoints lacking needed info. - Avoiding potential credential leaks in debug logs. --- `97-127`: **Add thread-safety checks or lazy initialization for `initialize_model_map`.** The function eagerly fetches and stores all models from each endpoint into a shared global map. While useful, be mindful if multiple threads invoke these endpoints concurrently. In some cases, a lazy or background initialization might be appropriate to reduce startup time. --- `129-136`: **Remove the no-op condition or justify its usage.** Since `MODEL_CLIENT_MAP` starts empty at import time, the `if MODEL_CLIENT_MAP: pass` branch may never execute on load. If there's no scenario where `MODEL_CLIENT_MAP` is pre-populated, consider removing the conditional to avoid confusion. --- `138-154`: **Cache the fallback client to avoid repeated instantiations.** When the model name is unrecognized, a new fallback client is created on every call. This could be costly or inconsistent in a high-traffic scenario. Consider defining a single fallback client stored in a global variable to reuse across calls. </blockquote></details> </blockquote></details> <details> <summary>📜 Review details</summary> **Configuration used: CodeRabbit UI** **Review profile: CHILL** **Plan: Pro** <details> <summary>📥 Commits</summary> Reviewing files that changed from the base of the PR and between 8fd77088e6eda55f3e3c0e5d876049825f86ab44 and 44170459fec0ea415be0e9e0124653b440c7c4f1. </details> <details> <summary>📒 Files selected for processing (1)</summary> * `app.py` (3 hunks) </details> <details> <summary>🔇 Additional comments (4)</summary><blockquote> <details> <summary>app.py (4)</summary> `156-160`: **Straightforward helper function.** The default model name parameter and direct return of `(client, model_name)` is a clean design. No immediate issues found; the code is consistent with the rest of the file. --- `188-188`: **New system user entry looks fine.** Adding `"codestral-latest"` to the `system_users` list is straightforward and does not introduce any known issues. --- `3314-3314`: **No changes detected.** This line is effectively blank and doesn't introduce or remove any functionality. --- `3317-3320`: **ArgumentParser addition looks good.** The new parser setup with descriptive text is correct and aligned with standard `argparse` usage. </details> </blockquote></details> </details> <!-- This is an auto-generated comment by CodeRabbit for review status -->
russellballestrini commented 2025-02-10 17:08:11 -05:00 (Migrated from git2.unturf.com)

Merged by: russellballestrini at 2025-02-10 22:08:11 UTC

*Merged by: russellballestrini at 2025-02-10 22:08:11 UTC*
russellballestrini (Migrated from git2.unturf.com) closed this pull request 2025-02-10 17:08:11 -05:00
russellballestrini (Migrated from git2.unturf.com) merged commit into main 2025-02-10 17:08:11 -05:00
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