From 9e44acdc24c4ff80541b2d1e38e147dce72f960c Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Sun, 12 Oct 2025 22:27:55 -0700 Subject: [PATCH] Merge staging branch (litellm_staging_branch_10_11_2025_p1) into rc --- .gitignore | 2 + docs/my-website/docs/completion/input.md | 4 +- docs/my-website/docs/mcp.md | 2 + docs/my-website/docs/providers/openai.md | 66 ++ docs/my-website/docs/proxy/virtual_keys.md | 133 ++-- .../docs/tutorials/claude_responses_api.md | 79 ++- docs/my-website/img/key_r.png | Bin 0 -> 128301 bytes docs/my-website/img/key_u.png | Bin 0 -> 220656 bytes docs/my-website/img/mcp_updates.jpg | Bin 0 -> 935362 bytes docs/my-website/img/oauth_2_success.png | Bin 0 -> 68740 bytes .../img/release_notes/1_78_0_perf.png | Bin 0 -> 136732 bytes .../img/release_notes/tool_control.png | Bin 0 -> 817179 bytes .../release_notes/v1.77.5-stable/index.md | 13 - .../release_notes/v1.77.7-stable/index.md | 25 + .../release_notes/v1.78.0-stable/index.md | 82 ++- docs/my-website/sidebars.js | 4 +- .../proxy/guardrails/endpoints.py | 4 +- .../litellm_proxy_extras/utils.py | 13 +- .../transformation.py | 74 ++- litellm/experimental_mcp_client/client.py | 125 +++- .../adapters/handler.py | 1 - litellm/llms/custom_httpx/llm_http_handler.py | 5 +- .../llms/openai/responses/transformation.py | 12 +- ...odel_prices_and_context_window_backup.json | 38 +- .../mcp_server/mcp_server_manager.py | 164 +++-- .../_experimental/out/api-reference.html | 2 +- .../proxy/_experimental/out/guardrails.html | 2 +- litellm/proxy/_experimental/out/logs.html | 2 +- .../proxy/_experimental/out/model-hub.html | 2 +- .../_experimental/out/model_hub_table.html | 2 +- .../out/models-and-endpoints.html | 2 +- .../_experimental/out/organizations.html | 2 +- litellm/proxy/_experimental/out/teams.html | 2 +- litellm/proxy/_experimental/out/test-key.html | 2 +- litellm/proxy/_experimental/out/usage.html | 2 +- litellm/proxy/_experimental/out/users.html | 2 +- .../proxy/_experimental/out/virtual-keys.html | 2 +- litellm/proxy/_new_secret_config.yaml | 23 +- litellm/proxy/_types.py | 6 +- litellm/proxy/auth/route_checks.py | 137 ++++- .../key_management_endpoints.py | 8 +- .../management_endpoints/scim/scim_v2.py | 281 +++++---- .../management_endpoints/team_endpoints.py | 94 ++- .../pass_through_endpoints.py | 214 ++++++- litellm/proxy/proxy_server.py | 59 +- .../handler.py | 10 +- .../streaming_iterator.py | 330 +++++++++- .../responses/mcp/mcp_streaming_iterator.py | 368 ++++++----- litellm/responses/streaming_iterator.py | 23 +- litellm/types/llms/openai.py | 75 ++- log.txt | 78 +++ model_prices_and_context_window.json | 38 +- .../test_apply_guardrail_endpoint.py | 158 +++++ .../test_anthropic_completion.py | 124 ++++ tests/llm_translation/test_gemini.py | 10 + tests/llm_translation/test_openai.py | 523 ++++++++++++++++ .../test_openai_assistants_passthrough.py | 14 +- ...responses_transformation_transformation.py | 189 ++++++ .../mcp_server/test_mcp_server_manager.py | 98 +++ .../proxy/auth/test_route_checks.py | 321 +++++++++- .../test_pass_through_endpoints.py | 581 +++++++++++++----- .../test_reasoning_content_transformation.py | 14 +- .../PassThroughRoutesSelector.tsx | 69 +++ .../src/components/networking.tsx | 6 +- .../organisms/create_key_button.tsx | 36 ++ .../src/components/team/team_info.tsx | 10 + .../components/templates/key_edit_view.tsx | 19 + .../components/templates/key_info_view.tsx | 13 + 68 files changed, 3966 insertions(+), 833 deletions(-) create mode 100644 docs/my-website/img/key_r.png create mode 100644 docs/my-website/img/key_u.png create mode 100644 docs/my-website/img/mcp_updates.jpg create mode 100644 docs/my-website/img/oauth_2_success.png create mode 100644 docs/my-website/img/release_notes/1_78_0_perf.png create mode 100644 docs/my-website/img/release_notes/tool_control.png create mode 100644 log.txt create mode 100644 tests/enterprise/litellm_enterprise/proxy/guardrails/test_apply_guardrail_endpoint.py create mode 100644 ui/litellm-dashboard/src/components/common_components/PassThroughRoutesSelector.tsx diff --git a/.gitignore b/.gitignore index c2ac5137cbe..e1045032d46 100644 --- a/.gitignore +++ b/.gitignore @@ -97,3 +97,5 @@ litellm_config.yaml .vscode/launch.json litellm/proxy/to_delete_loadtest_work/* update_model_cost_map.py +tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py +litellm/proxy/_experimental/out/guardrails/index.html diff --git a/docs/my-website/docs/completion/input.md b/docs/my-website/docs/completion/input.md index 91d9cc72cf3..bdbd0b04929 100644 --- a/docs/my-website/docs/completion/input.md +++ b/docs/my-website/docs/completion/input.md @@ -180,11 +180,11 @@ def completion( - `function`: *object* - Required. -- `tool_choice`: *string or object (optional)* - Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via `{"type: "function", "function": {"name": "my_function"}}` forces the model to call that function. +- `tool_choice`: *string or object (optional)* - Controls which (if any) function is called by the model. none means the model will not call a function and instead generates a message. auto means the model can pick between generating a message or calling a function. Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function. - `none` is the default when no functions are present. `auto` is the default if functions are present. -- `parallel_tool_calls`: *boolean (optional)* - Whether to enable parallel function calling during tool use.. OpenAI default is true. +- `parallel_tool_calls`: *boolean (optional)* - Whether to enable parallel function calling during tool use. OpenAI default is true. - `frequency_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their frequency in the text so far. diff --git a/docs/my-website/docs/mcp.md b/docs/my-website/docs/mcp.md index 6333f7f0913..6b0ed067c55 100644 --- a/docs/my-website/docs/mcp.md +++ b/docs/my-website/docs/mcp.md @@ -1204,6 +1204,8 @@ mcp_servers: scopes: ["public_repo", "user:email"] ``` +[**See Claude Code Tutorial**](./tutorials/claude_responses_api#connecting-mcp-servers) + ## Using your MCP with client side credentials Use this if you want to pass a client side authentication token to LiteLLM to then pass to your MCP to auth to your MCP. diff --git a/docs/my-website/docs/providers/openai.md b/docs/my-website/docs/providers/openai.md index dbd0b9927a9..3fad78dc80e 100644 --- a/docs/my-website/docs/providers/openai.md +++ b/docs/my-website/docs/providers/openai.md @@ -339,6 +339,72 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \ | fine tuned `gpt-3.5-turbo-1106` | `response = completion(model="ft:gpt-3.5-turbo-1106", messages=messages)` | | fine tuned `gpt-3.5-turbo-0613` | `response = completion(model="ft:gpt-3.5-turbo-0613", messages=messages)` | +## Getting Reasoning Content in `/chat/completions` + +GPT-5 models return reasoning content when called via the Responses API. You can call these models via the `/chat/completions` endpoint by using the `openai/responses/` prefix. + + + +```python +response = litellm.completion( + model="openai/responses/gpt-5-mini", # tells litellm to call the model via the Responses API + messages=[{"role": "user", "content": "What is the capital of France?"}], + reasoning_effort="low", +) +``` + + + +```bash +curl -X POST 'http://0.0.0.0:4000/chat/completions' \ +-H 'Content-Type: application/json' \ +-H 'Authorization: Bearer sk-1234' \ +-d '{ + "model": "openai/responses/gpt-5-mini", + "messages": [{"role": "user", "content": "What is the capital of France?"}], + "reasoning_effort": "low" +}' +``` + + + +Expected Response: +```json +{ + "id": "chatcmpl-6382a222-43c9-40c4-856b-22e105d88075", + "created": 1760146746, + "model": "gpt-5-mini", + "object": "chat.completion", + "system_fingerprint": null, + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "message": { + "content": "Paris", + "role": "assistant", + "tool_calls": null, + "function_call": null, + "reasoning_content": "**Identifying the capital**\n\nThe user wants me to think of the capital of France and write it down. That's pretty straightforward: it's Paris. There aren't any safety issues to consider here. I think it would be best to keep it concise, so maybe just \"Paris\" would suffice. I feel confident that I should just stick to that without adding anything else. So, let's write it down!", + "provider_specific_fields": null + } + } + ], + "usage": { + "completion_tokens": 7, + "prompt_tokens": 18, + "total_tokens": 25, + "completion_tokens_details": null, + "prompt_tokens_details": { + "audio_tokens": null, + "cached_tokens": 0, + "text_tokens": null, + "image_tokens": null + } + } +} + +``` ## OpenAI Chat Completion to Responses API Bridge diff --git a/docs/my-website/docs/proxy/virtual_keys.md b/docs/my-website/docs/proxy/virtual_keys.md index 68cbe91b0f6..38ff4ede280 100644 --- a/docs/my-website/docs/proxy/virtual_keys.md +++ b/docs/my-website/docs/proxy/virtual_keys.md @@ -1,5 +1,6 @@ import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; +import Image from '@theme/IdealImage'; # Virtual Keys Track Spend, and control model access via virtual keys for the proxy @@ -66,50 +67,6 @@ curl 'http://0.0.0.0:4000/key/generate' \ --data-raw '{"models": ["gpt-3.5-turbo", "gpt-4"], "metadata": {"user": "ishaan@berri.ai"}}' ``` -## 🔁 Scheduled Key Rotations (NEW in v1.77.5) - -LiteLLM can now rotate **virtual keys automatically** on a schedule you define. - -### How it works -1. When creating a virtual key you set `rotation_schedule` – a [cron expression](https://crontab.guru/). -2. LiteLLM stores the schedule in the DB and runs a background job that regenerates the key at the specified time. -3. Existing key string is invalidated; a **notification webhook** (if configured) is sent with the new key value. - -### Create a key with rotation - -```bash -curl 'http://0.0.0.0:4000/key/generate' \ - -H 'Authorization: Bearer ' \ - -H 'Content-Type: application/json' \ - -d '{ - "models": ["gpt-4o"], - "rotation_schedule": "0 0 * * SUN", # rotate every Sunday at 00:00 UTC - "webhook_url": "https://example.com/key-rotated" - }' -``` - -### Enable globally via env - -Set these env vars when starting the proxy: - -| Variable | Description | Default | -|----------|-------------|---------| -| `LITELLM_KEY_ROTATION_ENABLED` | Enable the rotation worker | `false` | -| `LITELLM_KEY_ROTATION_CHECK_INTERVAL_SECONDS` | How often to scan for keys to rotate | `86400` | - -### Webhook payload - -```json -{ - "event": "virtual_key.rotated", - "old_key_id": "sk-abc...", - "new_key": "sk-def...", - "rotation_time": "2025-10-05T00:00:00Z" -} -``` - -If no `webhook_url` is provided the new key value is returned in the response of the `/key/rotate` REST call instead. - ## Spend Tracking Get spend per: @@ -604,6 +561,94 @@ curl 'http://localhost:4000/key/sk-1234/regenerate' \ [**👉 API REFERENCE DOCS**](https://litellm-api.up.railway.app/#/key%20management/regenerate_key_fn_key__key__regenerate_post) +### Scheduled Key Rotations + +LiteLLM can rotate **virtual keys automatically** based on time intervals you define. + +#### Prerequisites + +1. **Database connection required** - Key rotation requires a connected database to track rotation schedules +2. **Enable the rotation worker** - Set environment variable `LITELLM_KEY_ROTATION_ENABLED=true` +3. **Configure check interval** - Optionally set `LITELLM_KEY_ROTATION_CHECK_INTERVAL_SECONDS` (default: 86400 seconds / 24 hours) + +#### How it works + +1. When creating a virtual key, set `auto_rotate: true` and `rotation_interval` (duration string) +2. LiteLLM calculates the next rotation time as `now + rotation_interval` and stores it in the database +3. A background job periodically checks for keys where the rotation time has passed +4. When a key is due for rotation, LiteLLM automatically regenerates it and invalidates the old key string +5. The new rotation time is calculated and the cycle continues + +#### Create a key with auto rotation + +**API** +```bash +curl 'http://0.0.0.0:4000/key/generate' \ + -H 'Authorization: Bearer ' \ + -H 'Content-Type: application/json' \ + -d '{ + "models": ["gpt-4o"], + "auto_rotate": true, + "rotation_interval": "30d" + }' +``` + +**LiteLLM UI** + +On the LiteLLM UI, Navigate to the Keys page and click on `Generate Key` > `Key Lifecycle` > `Enable Auto Rotation` + + +**Valid rotation_interval formats:** +- `"30s"` - 30 seconds +- `"30m"` - 30 minutes +- `"30h"` - 30 hours +- `"30d"` - 30 days +- `"90d"` - 90 days + +#### Update existing key to enable rotation + +**API** + +```bash +curl 'http://0.0.0.0:4000/key/update' \ + -H 'Authorization: Bearer ' \ + -H 'Content-Type: application/json' \ + -d '{ + "key": "sk-existing-key", + "auto_rotate": true, + "rotation_interval": "90d" + }' +``` + +**LiteLLM UI** + +On the LiteLLM UI, Navigate to the Keys page. Select the key you want to update and click on `Edit Settings` > `Auto-Rotation Settings` + + + +#### Environment variables + +Set these environment variables when starting the proxy: + +| Variable | Description | Default | +|----------|-------------|---------| +| `LITELLM_KEY_ROTATION_ENABLED` | Enable the rotation worker | `false` | +| `LITELLM_KEY_ROTATION_CHECK_INTERVAL_SECONDS` | How often to scan for keys to rotate (in seconds) | `86400` (24 hours) | + +**Example:** +```bash +export LITELLM_KEY_ROTATION_ENABLED=true +export LITELLM_KEY_ROTATION_CHECK_INTERVAL_SECONDS=3600 # Check every hour + +litellm --config config.yaml +``` + ### Temporary Budget Increase Use the `/key/update` endpoint to increase the budget of an existing key. diff --git a/docs/my-website/docs/tutorials/claude_responses_api.md b/docs/my-website/docs/tutorials/claude_responses_api.md index d86b5e2d461..098c311b30f 100644 --- a/docs/my-website/docs/tutorials/claude_responses_api.md +++ b/docs/my-website/docs/tutorials/claude_responses_api.md @@ -209,4 +209,81 @@ claude --model claude-bedrock - \ No newline at end of file + + + +## Connecting MCP Servers + +You can also connect MCP servers to Claude Code via LiteLLM Proxy. + +:::note + +Limitations: + +- Currently, only HTTP MCP servers are supported +- Does not work in Cursor IDE yet. + +::: + +1. Add the MCP server to your `config.yaml` + +In this example, we'll add the Github MCP server to our `config.yaml` + +```yaml title="config.yaml" showLineNumbers +mcp_servers: + github_mcp: + url: "https://api.githubcopilot.com/mcp" + auth_type: oauth2 + authorization_url: https://github.com/login/oauth/authorize + token_url: https://github.com/login/oauth/access_token + client_id: os.environ/GITHUB_OAUTH_CLIENT_ID + client_secret: os.environ/GITHUB_OAUTH_CLIENT_SECRET + scopes: ["public_repo", "user:email"] +``` + +2. Start LiteLLM Proxy + +```bash +litellm --config /path/to/config.yaml + +# RUNNING on http://0.0.0.0:4000 +``` + +3. Use the MCP server in Claude Code + +```bash +claude mcp add --transport http litellm_proxy http://0.0.0.0:4000 --header "Authorization: Bearer sk-LITELLM_VIRTUAL_KEY" +``` + +4. Authenticate via Claude Code + +a. Start Claude Code + +```bash +claude +``` + +b. Authenticate via Claude Code + +```bash +/mcp +``` + +c. Select the MCP server + +```bash +> litellm_proxy +``` + +d. Start Oauth flow via Claude Code + +```bash +> 1. Authenticate + 2. Reconnect + 3. Disable +``` + +e. 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zDeS+dSk(UUQcys6;QJ>DI1FHDM-~mOtF#;W3%KvR)tiM4^3}exX=S?L`o!(XzGe=x zfCK1C`wJZ#6h=52f>_vTE>7ad!5}+k`ul~~KPhMa*T!wpI=(dizgh=B`VTYyE#>N& rQ(aiMOP>$u?3Mo&*Y!!TztOl{xf(gF*F51c|K?E#$3ulbd0qY&7fnXu literal 0 HcmV?d00001 diff --git a/docs/my-website/release_notes/v1.77.5-stable/index.md b/docs/my-website/release_notes/v1.77.5-stable/index.md index 1e9807ee491..1b06018d8a8 100644 --- a/docs/my-website/release_notes/v1.77.5-stable/index.md +++ b/docs/my-website/release_notes/v1.77.5-stable/index.md @@ -57,19 +57,6 @@ pip install litellm==1.77.5 --- -### Scheduled Key Rotations - - - -
- -This release brings support for scheduling virtual key rotations on LiteLLM AI Gateway. - -This is great for Proxy Admins looking to enforce Enterprise Grade security for use cases going through LiteLLM AI Gateway. - -From this release you can enforce Virtual Keys to rotate on a schedule of your choice e.g every 15 days/30 days/60 days etc. - ---- ### Performance Improvements - 54% RPS Improvement diff --git a/docs/my-website/release_notes/v1.77.7-stable/index.md b/docs/my-website/release_notes/v1.77.7-stable/index.md index 7e375f2ef95..03456297f23 100644 --- a/docs/my-website/release_notes/v1.77.7-stable/index.md +++ b/docs/my-website/release_notes/v1.77.7-stable/index.md @@ -103,6 +103,31 @@ View the complete configuration: [gist.github.com/AlexsanderHamir/config.yaml](h View the complete load testing script: [gist.github.com/AlexsanderHamir/no_cache_hits.py](https://gist.github.com/AlexsanderHamir/42c33d7a4dc7a57f56a78b560dee3a42) +### MCP OAuth 2.0 Support + + + +
+ +This release adds support for OAuth 2.0 Client Credentials for MCP servers. This is great for **Internal Dev Tools** use-cases, as it enables your users to call MCP servers, with their own credentials. E.g. Allowing your developers to call the Github MCP, with their own credentials. + +[Set it up today on Claude Code](../../docs/tutorials/claude_responses_api#connecting-mcp-servers) + +### Scheduled Key Rotations + + + +
+ +This release brings support for scheduling virtual key rotations on LiteLLM AI Gateway. + +From this release you can enforce Virtual Keys to rotate on a schedule of your choice e.g every 15 days/30 days/60 days etc. + +This is great for Proxy Admins who need to enforce security policies for production workloads. + +[Get Started](../../docs/proxy/virtual_keys#scheduled-key-rotations) + + ## New Models / Updated Models #### New Model Support diff --git a/docs/my-website/release_notes/v1.78.0-stable/index.md b/docs/my-website/release_notes/v1.78.0-stable/index.md index 2fd422d2213..e9a471f45b5 100644 --- a/docs/my-website/release_notes/v1.78.0-stable/index.md +++ b/docs/my-website/release_notes/v1.78.0-stable/index.md @@ -1,5 +1,5 @@ --- -title: "[Preview] v1.78.0-stable - MCP Gateway: Control Tool Access by Team/Key" +title: "[Preview] v1.78.0-stable - MCP Gateway: Control Tool Access by Team, Key" slug: "v1-78-0" date: 2025-10-11T10:00:00 authors: @@ -37,6 +37,10 @@ import TabItem from '@theme/TabItem'; ``` showLineNumbers title="docker run litellm" +docker run \ +-e STORE_MODEL_IN_DB=True \ +-p 4000:4000 \ +ghcr.io/berriai/litellm:v1.78.0.rc.1 ``` @@ -44,7 +48,7 @@ import TabItem from '@theme/TabItem'; ``` showLineNumbers title="pip install litellm" -pip install litellm==1.78.0 +pip install litellm==1.78.0.rc.1 ``` @@ -54,12 +58,80 @@ pip install litellm==1.78.0 ## Key Highlights -- **MCP Gateway Enhancements** - Fine-grained tool control at team/key level, OpenAPI to MCP server conversion, and per-tool parameter allowlists +- **MCP Gateway - Control Tool Access by Team, Key** - Control MCP tool access by team/key. +- **Performance Improvements** - 70% Lower p99 Latency - **GPT-5 Pro & GPT-Image-1-Mini** - Day 0 support for OpenAI's GPT-5 Pro (400K context) and gpt-image-1-mini image generation -- **UI Performance Boost** - Replaces bloated key list calls with lean key aliases endpoint, Turbopack for faster development, and major UI refactors - **EnkryptAI Guardrails** - New guardrail integration for content moderation - **Tag-Based Budgets** - Support for setting budgets based on request tags -- **Azure AD & SSO** - Enhanced Azure AD default credentials selection and EntraID app roles support + +--- + +### MCP Gateway - Control Tool Access by Team, Key + + + +
+ +Proxy admins can now control MCP tool access by team or key. This makes it easy to grant different teams selective access to tools from the same MCP server. + +For example, you can now give your Engineering team access to `list_repositories`, `create_issue`, and `search_code` tools, while Sales only gets `search_code` and `close_issue` tools. + +This makes it easier for Proxy Admins to govern MCP Tool Access. + +[Get Started](../../docs/mcp_control#set-allowed-tools-for-a-key-team-or-organization) + +--- + +## Performance - 70% Lower p99 Latency + + + +
+ +This release cuts p99 latency by 70% on LiteLLM AI Gateway, making it even better for low-latency use cases. + +These gains come from two key enhancements: + +**Reliable Sessions** + +Added support for shared sessions with aiohttp. The shared_session parameter is now consistently used across all calls, enabling connection pooling. + +**Faster Routing** + +A new `model_name_to_deployment_indices` hash map replaces O(n) list scans in `_get_all_deployments()` with O(1) hash lookups, boosting routing performance and scalability. + +As a result, performance improved across all latency percentiles: + +- **Median latency:** 110 ms → **100 ms** (−9.1%) +- **p95 latency:** 440 ms → **150 ms** (−65.9%) +- **p99 latency:** 810 ms → **240 ms** (−70.4%) +- **Average latency:** 310 ms → **111.73 ms** (−64.0%) + +### **Test Setup** + +**Locust** + +- **Concurrent users:** 1,000 +- **Ramp-up:** 500 + +**System Specs** + +- **Database was used** +- **CPU:** 4 vCPUs +- **Memory:** 8 GB RAM +- **LiteLLM Workers:** 4 +- **Instances**: 4 + +**Configuration (config.yaml)** + +View the complete configuration: [gist.github.com/AlexsanderHamir/config.yaml](https://gist.github.com/AlexsanderHamir/53f7d554a5d2afcf2c4edb5b6be68ff4) + +**Load Script (no_cache_hits.py)** + +View the complete load testing script: [gist.github.com/AlexsanderHamir/no_cache_hits.py](https://gist.github.com/AlexsanderHamir/42c33d7a4dc7a57f56a78b560dee3a42) --- diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js index 6d5d6d68d94..53577029e88 100644 --- a/docs/my-website/sidebars.js +++ b/docs/my-website/sidebars.js @@ -94,10 +94,10 @@ const sidebars = { { type: "category", - label: "LiteLLM Proxy Server", + label: "LiteLLM AI Gateway", link: { type: "generated-index", - title: "LiteLLM Proxy Server (LLM Gateway)", + title: "LiteLLM AI Gateway (LLM Proxy)", description: `OpenAI Proxy Server (LLM Gateway) to call 100+ LLMs in a unified interface & track spend, set budgets per virtual key/user`, slug: "/simple_proxy", }, diff --git a/enterprise/litellm_enterprise/proxy/guardrails/endpoints.py b/enterprise/litellm_enterprise/proxy/guardrails/endpoints.py index cdf86dcea67..8b42b2549cd 100644 --- a/enterprise/litellm_enterprise/proxy/guardrails/endpoints.py +++ b/enterprise/litellm_enterprise/proxy/guardrails/endpoints.py @@ -36,6 +36,8 @@ async def apply_guardrail( if active_guardrail is None: raise Exception(f"Guardrail {request.guardrail_name} not found") - return await active_guardrail.apply_guardrail( + response_text = await active_guardrail.apply_guardrail( text=request.text, language=request.language, entities=request.entities ) + + return ApplyGuardrailResponse(response_text=response_text) diff --git a/litellm-proxy-extras/litellm_proxy_extras/utils.py b/litellm-proxy-extras/litellm_proxy_extras/utils.py index ece2b496bf6..73065b050b7 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/utils.py +++ b/litellm-proxy-extras/litellm_proxy_extras/utils.py @@ -131,7 +131,9 @@ class ProxyExtrasDBManager: ) @staticmethod - def _resolve_all_migrations(migrations_dir: str, schema_path: str): + def _resolve_all_migrations( + migrations_dir: str, schema_path: str, mark_all_applied: bool = True + ): """ 1. Compare the current database state to schema.prisma and generate a migration for the diff. 2. Run prisma migrate deploy to apply any pending migrations. @@ -210,6 +212,8 @@ class ProxyExtrasDBManager: logger.warning("Migration diff application timed out.") # 3. Mark all migrations as applied + if not mark_all_applied: + return migration_names = ProxyExtrasDBManager._get_migration_names(migrations_dir) logger.info(f"Resolving {len(migration_names)} migrations") for migration_name in migration_names: @@ -263,6 +267,13 @@ class ProxyExtrasDBManager: logger.info(f"prisma migrate deploy stdout: {result.stdout}") logger.info("prisma migrate deploy completed") + + # Run sanity check to ensure DB matches schema + logger.info("Running post-migration sanity check...") + ProxyExtrasDBManager._resolve_all_migrations( + migrations_dir, schema_path, mark_all_applied=False + ) + logger.info("✅ Post-migration sanity check completed") return True except subprocess.CalledProcessError as e: logger.info(f"prisma db error: {e.stderr}, e: {e.stdout}") diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py index bf7f7a5dd1b..b060f22d355 100644 --- a/litellm/completion_extras/litellm_responses_transformation/transformation.py +++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py @@ -18,13 +18,15 @@ from typing import ( cast, ) +from openai.types.responses.tool_param import FunctionToolParam + from litellm import ModelResponse from litellm._logging import verbose_logger from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.bridges.completion_transformation import ( CompletionTransformationBridge, ) -from litellm.types.llms.openai import Reasoning +from litellm.types.llms.openai import ChatCompletionToolParamFunctionChunk, Reasoning if TYPE_CHECKING: from openai.types.responses import ResponseInputImageParam @@ -55,22 +57,22 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): ) -> Tuple[Optional[Any], int]: """ Handle raw dict response items from Responses API (e.g., GPT-5 Codex format). - + Args: item: Raw dict response item with 'type' field index: Current choice index - + Returns: Tuple of (Choice object or None, updated index) """ from litellm.types.utils import Choices, Message item_type = item.get("type") - + # Ignore reasoning items for now if item_type == "reasoning": return None, index - + # Handle message items with output_text content if item_type == "message": content_list = item.get("content", []) @@ -81,13 +83,11 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): response_text = content_item.get("text", "") msg = Message( role=item.get("role", "assistant"), - content=response_text if response_text else "" - ) - choice = Choices( - message=msg, finish_reason="stop", index=index + content=response_text if response_text else "", ) + choice = Choices(message=msg, finish_reason="stop", index=index) return choice, index + 1 - + # Unknown or unsupported type return None, index @@ -242,6 +242,11 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): if value is not None: if key == "instructions" and instructions: request_data["instructions"] = instructions + elif key == "stream_options" and isinstance(value, dict): + request_data["stream_options"] = value.get("include_obfuscation") + elif key == "user": # string can't be longer than 64 characters + if isinstance(value, str) and len(value) <= 64: + request_data["user"] = value else: request_data[key] = value @@ -262,7 +267,6 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): json_mode: Optional[bool] = None, ) -> "ModelResponse": """Transform Responses API response to chat completion response""" - from openai.types.responses import ( ResponseFunctionToolCall, ResponseOutputMessage, @@ -281,19 +285,35 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): choices: List[Choices] = [] index = 0 + + reasoning_content: Optional[str] = None + for item in raw_response.output: + if isinstance(item, ResponseReasoningItem): - pass # ignore for now. + + for summary_item in item.summary: + response_text = getattr(summary_item, "text", "") + reasoning_content = response_text if response_text else "" + elif isinstance(item, ResponseOutputMessage): for content in item.content: response_text = getattr(content, "text", "") msg = Message( - role=item.role, content=response_text if response_text else "" + role=item.role, + content=response_text if response_text else "", + reasoning_content=reasoning_content, ) choices.append( - Choices(message=msg, finish_reason="stop", index=index) + Choices( + message=msg, + finish_reason="stop", + index=index, + ) ) + + reasoning_content = None # flush reasoning content index += 1 elif isinstance(item, ResponseFunctionToolCall): msg = Message( @@ -308,15 +328,19 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): "type": "function", } ], + reasoning_content=reasoning_content, ) choices.append( Choices(message=msg, finish_reason="tool_calls", index=index) ) + reasoning_content = None # flush reasoning content index += 1 elif isinstance(item, dict): # Handle raw dict responses (e.g., from GPT-5 Codex) - choice, index = self._handle_raw_dict_response_item(item=item, index=index) + choice, index = self._handle_raw_dict_response_item( + item=item, index=index + ) if choice is not None: choices.append(choice) else: @@ -493,9 +517,25 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): self, tools: List[Dict[str, Any]] ) -> List["ALL_RESPONSES_API_TOOL_PARAMS"]: """Convert chat completion tools to responses API tools format""" - responses_tools = [] + responses_tools: List["ALL_RESPONSES_API_TOOL_PARAMS"] = [] for tool in tools: - responses_tools.append(tool) + # convert function tool from chat completion to responses API format + if tool.get("type") == "function": + function_tool = cast( + ChatCompletionToolParamFunctionChunk, tool.get("function") + ) + responses_tools.append( + FunctionToolParam( + name=function_tool["name"], + parameters=function_tool.get("parameters"), + strict=function_tool.get("strict"), + type="function", + description=function_tool.get("description"), + ) + ) + else: + responses_tools.append(tool) # type: ignore + return cast(List["ALL_RESPONSES_API_TOOL_PARAMS"], responses_tools) def _map_reasoning_effort(self, reasoning_effort: str) -> Optional[Reasoning]: diff --git a/litellm/experimental_mcp_client/client.py b/litellm/experimental_mcp_client/client.py index b10ddc9e812..6aa671a5011 100644 --- a/litellm/experimental_mcp_client/client.py +++ b/litellm/experimental_mcp_client/client.py @@ -86,8 +86,15 @@ class MCPClient: async def connect(self): """Initialize the transport and session.""" if self._session: + verbose_logger.debug( + f"MCP client already connected to {self.server_url or 'stdio'}" + ) return # Already connected + verbose_logger.info( + f"MCP client connecting to {self.server_url or 'stdio'} via {self.transport_type}" + ) + try: if self.transport_type == MCPTransport.stdio: # For stdio transport, use stdio_client with command-line parameters @@ -107,6 +114,9 @@ class MCPClient: ) self._session = await self._session_ctx.__aenter__() await self._session.initialize() + verbose_logger.info( + f"MCP client successfully connected via stdio: {self.stdio_config.get('command', '')}" + ) elif self.transport_type == MCPTransport.sse: headers = self._get_auth_headers() httpx_client_factory = self._create_httpx_client_factory() @@ -122,6 +132,9 @@ class MCPClient: ) self._session = await self._session_ctx.__aenter__() await self._session.initialize() + verbose_logger.info( + f"MCP client successfully connected via SSE to {self.server_url}" + ) else: # http headers = self._get_auth_headers() httpx_client_factory = self._create_httpx_client_factory() @@ -140,6 +153,9 @@ class MCPClient: ) self._session = await self._session_ctx.__aenter__() await self._session.initialize() + verbose_logger.info( + f"MCP client successfully connected via HTTP to {self.server_url}" + ) except ValueError as e: # Re-raise ValueError exceptions (like missing stdio_config) verbose_logger.warning(f"MCP client connection failed: {str(e)}") @@ -159,7 +175,12 @@ class MCPClient: async def disconnect(self): """Clean up session and connections.""" + verbose_logger.info( + f"MCP client disconnecting from {self.server_url or 'stdio'}" + ) + if self._task and not self._task.done(): + verbose_logger.debug("MCP client cancelling background task") self._task.cancel() try: await self._task @@ -168,16 +189,24 @@ class MCPClient: if self._session: try: + verbose_logger.debug("MCP client closing session") await self._session_ctx.__aexit__(None, None, None) # type: ignore - except Exception: + except Exception as e: + verbose_logger.debug( + f"Error closing MCP session: {type(e).__name__}: {str(e)}" + ) pass self._session = None self._session_ctx = None if self._transport_ctx: try: + verbose_logger.debug("MCP client closing transport") await self._transport_ctx.__aexit__(None, None, None) - except Exception: + except Exception as e: + verbose_logger.debug( + f"Error closing MCP transport: {type(e).__name__}: {str(e)}" + ) pass self._transport_ctx = None self._transport = None @@ -261,25 +290,55 @@ class MCPClient: async def list_tools(self) -> List[MCPTool]: """List available tools from the server.""" + verbose_logger.debug( + f"MCP client listing tools from {self.server_url or 'stdio'}" + ) + if not self._session: + verbose_logger.debug("MCP client session not found, attempting to connect") try: await self.connect() except Exception as e: - verbose_logger.warning(f"MCP client connection failed: {str(e)}") + verbose_logger.error( + f"MCP client connection failed during list_tools: {type(e).__name__}: {str(e)}" + ) return [] if self._session is None: - verbose_logger.warning("MCP client session is not initialized") + verbose_logger.error( + "MCP client session is not initialized after connection attempt" + ) return [] try: result = await self._session.list_tools() + tool_count = len(result.tools) + tool_names = [tool.name for tool in result.tools] + verbose_logger.info( + f"MCP client listed {tool_count} tools from {self.server_url or 'stdio'}: {tool_names}" + ) return result.tools except asyncio.CancelledError: + verbose_logger.warning("MCP client list_tools was cancelled") await self.disconnect() raise except Exception as e: - verbose_logger.warning(f"MCP client list_tools failed: {str(e)}") + error_type = type(e).__name__ + verbose_logger.error( + f"MCP client list_tools failed - " + f"Error Type: {error_type}, " + f"Error: {str(e)}, " + f"Server: {self.server_url or 'stdio'}, " + f"Transport: {self.transport_type}" + ) + + # Check if it's a stream/connection error + if "BrokenResourceError" in error_type or "Broken" in error_type: + verbose_logger.error( + "MCP client detected broken connection/stream during list_tools - " + "the MCP server may have crashed, disconnected, or timed out" + ) + await self.disconnect() # Return empty list instead of raising to allow graceful degradation return [] @@ -290,17 +349,28 @@ class MCPClient: """ Call an MCP Tool. """ + verbose_logger.info( + f"MCP client calling tool '{call_tool_request_params.name}' with arguments: {call_tool_request_params.arguments}" + ) + if not self._session: + verbose_logger.warning( + "MCP client session not found, attempting to connect" + ) try: await self.connect() except Exception as e: - verbose_logger.warning(f"MCP client connection failed: {str(e)}") + verbose_logger.error( + f"MCP client connection failed before tool call: {type(e).__name__}: {str(e)}" + ) return MCPCallToolResult( content=[TextContent(type="text", text=f"{str(e)}")], isError=True ) if self._session is None: - verbose_logger.warning("MCP client session is not initialized") + verbose_logger.error( + "MCP client session is not initialized after connection attempt" + ) return MCPCallToolResult( content=[ TextContent( @@ -310,22 +380,59 @@ class MCPClient: isError=True, ) + # Check session and transport state before calling tool + verbose_logger.debug( + f"MCP client state before tool call - " + f"session: {'active' if self._session else 'none'}, " + f"transport: {'active' if self._transport else 'none'}, " + f"session_ctx: {'active' if self._session_ctx else 'none'}, " + f"transport_ctx: {'active' if self._transport_ctx else 'none'}" + ) + try: + verbose_logger.debug("MCP client sending tool call to session") tool_result = await self._session.call_tool( name=call_tool_request_params.name, arguments=call_tool_request_params.arguments, ) + verbose_logger.info( + f"MCP client tool call '{call_tool_request_params.name}' completed successfully" + ) return tool_result except asyncio.CancelledError: + verbose_logger.warning("MCP client tool call was cancelled") await self.disconnect() raise except Exception as e: - verbose_logger.warning(f"MCP client call_tool failed: {str(e)}") + import traceback + + error_trace = traceback.format_exc() + verbose_logger.debug(f"MCP client tool call traceback:\n{error_trace}") + + # Log detailed error information + error_type = type(e).__name__ + verbose_logger.error( + f"MCP client call_tool failed - " + f"Error Type: {error_type}, " + f"Error: {str(e)}, " + f"Tool: {call_tool_request_params.name}, " + f"Server: {self.server_url or 'stdio'}, " + f"Transport: {self.transport_type}" + ) + + # Check if it's a stream/connection error + if "BrokenResourceError" in error_type or "Broken" in error_type: + verbose_logger.error( + "MCP client detected broken connection/stream - " + "the MCP server may have crashed, disconnected, or timed out. " + "Session and transport will be disconnected." + ) + await self.disconnect() # Return a default error result instead of raising return MCPCallToolResult( content=[ - TextContent(type="text", text=f"{str(e)}") + TextContent(type="text", text=f"{error_type}: {str(e)}") ], # Empty content for error case isError=True, ) diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py index 5e0dfa9238a..88a63fc6f5d 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py @@ -133,7 +133,6 @@ class LiteLLMMessagesToCompletionTransformationHandler: **kwargs, ) -> Union[AnthropicMessagesResponse, AsyncIterator]: """Handle non-Anthropic models asynchronously using the adapter""" - completion_kwargs = ( LiteLLMMessagesToCompletionTransformationHandler._prepare_completion_kwargs( max_tokens=max_tokens, diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index 7f246e775af..5037f4d8d44 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -13,13 +13,13 @@ from typing import ( cast, ) -from litellm._logging import verbose_logger import httpx # type: ignore import litellm import litellm.litellm_core_utils import litellm.types import litellm.types.utils +from litellm._logging import verbose_logger from litellm.litellm_core_utils.realtime_streaming import RealTimeStreaming from litellm.llms.base_llm.anthropic_messages.transformation import ( BaseAnthropicMessagesConfig, @@ -239,7 +239,7 @@ class BaseLLMHTTPHandler: json_mode: bool = False, signed_json_body: Optional[bytes] = None, shared_session: Optional["ClientSession"] = None, - ): + ): if client is None: verbose_logger.debug( f"Creating HTTP client with shared_session: {id(shared_session) if shared_session else None}" @@ -1533,6 +1533,7 @@ class BaseLLMHTTPHandler: data=data, fake_stream=fake_stream, ) + response = sync_httpx_client.post( url=api_base, headers=headers, diff --git a/litellm/llms/openai/responses/transformation.py b/litellm/llms/openai/responses/transformation.py index e5e89cd8bc6..1e949e434d3 100644 --- a/litellm/llms/openai/responses/transformation.py +++ b/litellm/llms/openai/responses/transformation.py @@ -161,6 +161,10 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig): ) -> ResponsesAPIResponse: """No transform applied since outputs are in OpenAI spec already""" try: + logging_obj.post_call( + original_response=raw_response.text, + additional_args={"complete_input_dict": {}}, + ) raw_response_json = raw_response.json() raw_response_json["created_at"] = _safe_convert_created_field( raw_response_json["created_at"] @@ -169,7 +173,13 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig): raise OpenAIError( message=raw_response.text, status_code=raw_response.status_code ) - return ResponsesAPIResponse(**raw_response_json) + try: + return ResponsesAPIResponse(**raw_response_json) + except Exception: + verbose_logger.debug( + f"Error constructing ResponsesAPIResponse: {raw_response_json}, using model_construct" + ) + return ResponsesAPIResponse.model_construct(**raw_response_json) def validate_environment( self, headers: dict, model: str, litellm_params: Optional[GenericLiteLLMParams] diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index f8aa7e59a08..645ecb9779f 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -4841,7 +4841,7 @@ "input_cost_per_token_above_200k_tokens": 6e-06, "litellm_provider": "anthropic", "max_input_tokens": 1000000, - "max_output_tokens": 1000000, + "max_output_tokens": 64000, "max_tokens": 1000000, "mode": "chat", "output_cost_per_token": 1.5e-05, @@ -13074,34 +13074,6 @@ "supports_vision": true, "supports_web_search": true }, - "gpt-5-codex": { - "cache_read_input_token_cost": 1.25e-07, - "input_cost_per_token": 1.25e-06, - "litellm_provider": "openai", - "max_input_tokens": 400000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 1e-05, - "supported_endpoints": [ - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true - }, "gpt-5-2025-08-07": { "cache_read_input_token_cost": 1.25e-07, "cache_read_input_token_cost_flex": 6.25e-08, @@ -20228,12 +20200,12 @@ }, "us.anthropic.claude-sonnet-4-5-20250929-v1:0": { "cache_creation_input_token_cost": 4.125e-06, - "cache_read_input_token_cost": 33e-07, - "input_cost_per_token": 33e-06, - "input_cost_per_token_above_200k_tokens": 66e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "input_cost_per_token_above_200k_tokens": 6.6e-06, "output_cost_per_token_above_200k_tokens": 2.475e-05, "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06, - "cache_read_input_token_cost_above_200k_tokens": 66e-07, + "cache_read_input_token_cost_above_200k_tokens": 6.6e-07, "litellm_provider": "bedrock_converse", "max_input_tokens": 200000, "max_output_tokens": 64000, diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py index 28581c778c6..f313a673827 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py @@ -355,12 +355,12 @@ class MCPServerManager: ) # Update tool name to server name mapping (for both prefixed and base names) - self.tool_name_to_mcp_server_name_mapping[ - base_tool_name - ] = server_prefix - self.tool_name_to_mcp_server_name_mapping[ - prefixed_tool_name - ] = server_prefix + self.tool_name_to_mcp_server_name_mapping[base_tool_name] = ( + server_prefix + ) + self.tool_name_to_mcp_server_name_mapping[prefixed_tool_name] = ( + server_prefix + ) registered_count += 1 verbose_logger.debug( @@ -1058,6 +1058,103 @@ class MCPServerManager: ) ) + async def _call_regular_mcp_tool( + self, + mcp_server: MCPServer, + original_tool_name: str, + arguments: Dict[str, Any], + tasks: List, + mcp_auth_header: Optional[str], + mcp_server_auth_headers: Optional[Dict[str, Dict[str, str]]], + oauth2_headers: Optional[Dict[str, str]], + raw_headers: Optional[Dict[str, str]], + proxy_logging_obj: Optional[ProxyLogging], + ) -> CallToolResult: + """ + Call a regular MCP tool using the MCP client. + + Args: + mcp_server: The MCP server configuration + original_tool_name: The original tool name (without prefix) + arguments: Tool arguments + tasks: List of async tasks to append to (for during hooks) + mcp_auth_header: MCP auth header (deprecated) + mcp_server_auth_headers: Optional dict of server-specific auth headers + oauth2_headers: Optional OAuth2 headers + raw_headers: Optional raw headers from the request + proxy_logging_obj: Optional ProxyLogging object for hook integration + + Returns: + CallToolResult from the MCP server + + Raises: + BlockedPiiEntityError: If PII is blocked by guardrails + GuardrailRaisedException: If guardrails block the call + HTTPException: If an HTTP error occurs + """ + # Get server-specific auth header if available + server_auth_header: Optional[Union[Dict[str, str], str]] = None + if mcp_server_auth_headers and mcp_server.alias: + server_auth_header = mcp_server_auth_headers.get(mcp_server.alias) + elif mcp_server_auth_headers and mcp_server.server_name: + server_auth_header = mcp_server_auth_headers.get(mcp_server.server_name) + + # Fall back to deprecated mcp_auth_header if no server-specific header found + if server_auth_header is None: + server_auth_header = mcp_auth_header + + # oauth2 headers + extra_headers: Optional[Dict[str, str]] = None + if mcp_server.auth_type == MCPAuth.oauth2: + extra_headers = oauth2_headers + + if mcp_server.extra_headers and raw_headers: + if extra_headers is None: + extra_headers = {} + for header in mcp_server.extra_headers: + if header in raw_headers: + extra_headers[header] = raw_headers[header] + + client = self._create_mcp_client( + server=mcp_server, + mcp_auth_header=server_auth_header, + extra_headers=extra_headers, + ) + + call_tool_params = MCPCallToolRequestParams( + name=original_tool_name, + arguments=arguments, + ) + + async def _call_tool_via_client(client, params): + async with client: + return await client.call_tool(params) + + tasks.append( + asyncio.create_task(_call_tool_via_client(client, call_tool_params)) + ) + + # IMPORTANT: Must await tasks INSIDE the context manager to keep connection alive + try: + mcp_responses = await asyncio.gather(*tasks) + except ( + BlockedPiiEntityError, + GuardrailRaisedException, + HTTPException, + ) as e: + # Re-raise guardrail exceptions to properly fail the MCP call + verbose_logger.error( + f"Guardrail blocked MCP tool call during result check: {str(e)}" + ) + raise e + + # If proxy_logging_obj is None, the tool call result is at index 0 + # If proxy_logging_obj is not None, the tool call result is at index 1 (after the during hook task) + result_index = 1 if proxy_logging_obj else 0 + result = mcp_responses[result_index] + + return cast(CallToolResult, result) + async def call_tool( self, name: str, @@ -1146,48 +1243,19 @@ class MCPServerManager: ) else: # For regular MCP servers, use the MCP client - # Get server-specific auth header if available - server_auth_header: Optional[Union[Dict[str, str], str]] = None - if mcp_server_auth_headers and mcp_server.alias: - server_auth_header = mcp_server_auth_headers.get(mcp_server.alias) - elif mcp_server_auth_headers and mcp_server.server_name: - server_auth_header = mcp_server_auth_headers.get(mcp_server.server_name) - - # Fall back to deprecated mcp_auth_header if no server-specific header found - if server_auth_header is None: - server_auth_header = mcp_auth_header - - # oauth2 headers - extra_headers: Optional[Dict[str, str]] = None - if mcp_server.auth_type == MCPAuth.oauth2: - extra_headers = oauth2_headers - - if mcp_server.extra_headers and raw_headers: - if extra_headers is None: - extra_headers = {} - for header in mcp_server.extra_headers: - if header in raw_headers: - extra_headers[header] = raw_headers[header] - - client = self._create_mcp_client( - server=mcp_server, - mcp_auth_header=server_auth_header, - extra_headers=extra_headers, - ) - - call_tool_params = MCPCallToolRequestParams( - name=original_tool_name, + return await self._call_regular_mcp_tool( + mcp_server=mcp_server, + original_tool_name=original_tool_name, arguments=arguments, + tasks=tasks, + mcp_auth_header=mcp_auth_header, + mcp_server_auth_headers=mcp_server_auth_headers, + oauth2_headers=oauth2_headers, + raw_headers=raw_headers, + proxy_logging_obj=proxy_logging_obj, ) - async def _call_tool_via_client(client, params): - async with client: - return await client.call_tool(params) - - tasks.append( - asyncio.create_task(_call_tool_via_client(client, call_tool_params)) - ) - + # For OpenAPI tools, await outside the client context try: mcp_responses = await asyncio.gather(*tasks) @@ -1276,7 +1344,7 @@ class MCPServerManager: get_prisma_client_or_throw, ) - verbose_logger.info("Loading MCP servers from database into registry...") + verbose_logger.debug("Loading MCP servers from database into registry...") # perform authz check to filter the mcp servers user has access to prisma_client = get_prisma_client_or_throw( @@ -1292,7 +1360,9 @@ class MCPServerManager: ) self.add_update_server(server) - verbose_logger.info(f"Registry now contains {len(self.get_registry())} servers") + verbose_logger.debug( + f"Registry now contains {len(self.get_registry())} servers" + ) def get_mcp_server_by_id(self, server_id: str) -> Optional[MCPServer]: """ diff --git a/litellm/proxy/_experimental/out/api-reference.html b/litellm/proxy/_experimental/out/api-reference.html index cfd0aa52728..aef6c85f87e 100644 --- a/litellm/proxy/_experimental/out/api-reference.html +++ b/litellm/proxy/_experimental/out/api-reference.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/guardrails.html b/litellm/proxy/_experimental/out/guardrails.html index 3bbcd020540..70a3c92ea4d 100644 --- a/litellm/proxy/_experimental/out/guardrails.html +++ b/litellm/proxy/_experimental/out/guardrails.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/logs.html b/litellm/proxy/_experimental/out/logs.html index 3abe5057e73..d78a775f4f7 100644 --- a/litellm/proxy/_experimental/out/logs.html +++ b/litellm/proxy/_experimental/out/logs.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/model-hub.html b/litellm/proxy/_experimental/out/model-hub.html index f2856d201f5..205231dcd36 100644 --- a/litellm/proxy/_experimental/out/model-hub.html +++ b/litellm/proxy/_experimental/out/model-hub.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/model_hub_table.html b/litellm/proxy/_experimental/out/model_hub_table.html index abb76d4ea73..9aa8c8c516a 100644 --- a/litellm/proxy/_experimental/out/model_hub_table.html +++ b/litellm/proxy/_experimental/out/model_hub_table.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/models-and-endpoints.html b/litellm/proxy/_experimental/out/models-and-endpoints.html index 0d9d4bf723f..83217562b36 100644 --- a/litellm/proxy/_experimental/out/models-and-endpoints.html +++ b/litellm/proxy/_experimental/out/models-and-endpoints.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/organizations.html b/litellm/proxy/_experimental/out/organizations.html index 6ee456c527b..3a0fdfc45cb 100644 --- a/litellm/proxy/_experimental/out/organizations.html +++ b/litellm/proxy/_experimental/out/organizations.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/teams.html b/litellm/proxy/_experimental/out/teams.html index f9bb672c048..7d645224dd4 100644 --- a/litellm/proxy/_experimental/out/teams.html +++ b/litellm/proxy/_experimental/out/teams.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/test-key.html b/litellm/proxy/_experimental/out/test-key.html index e5b293b26f9..d86a4665a27 100644 --- a/litellm/proxy/_experimental/out/test-key.html +++ b/litellm/proxy/_experimental/out/test-key.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/usage.html b/litellm/proxy/_experimental/out/usage.html index 1eef2848e58..d3b3e2191bc 100644 --- a/litellm/proxy/_experimental/out/usage.html +++ b/litellm/proxy/_experimental/out/usage.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/users.html b/litellm/proxy/_experimental/out/users.html index 193e2bf2113..bfbd584dd6d 100644 --- a/litellm/proxy/_experimental/out/users.html +++ b/litellm/proxy/_experimental/out/users.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_experimental/out/virtual-keys.html b/litellm/proxy/_experimental/out/virtual-keys.html index 2ec3a2eff3d..009f62ff4f2 100644 --- a/litellm/proxy/_experimental/out/virtual-keys.html +++ b/litellm/proxy/_experimental/out/virtual-keys.html @@ -1 +1 @@ -LiteLLM Dashboard \ No newline at end of file +LiteLLM Dashboard diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml index fda16ffb1ee..f92c2eeb3af 100644 --- a/litellm/proxy/_new_secret_config.yaml +++ b/litellm/proxy/_new_secret_config.yaml @@ -1,17 +1,14 @@ model_list: - model_name: gpt-5-mini litellm_params: - model: openai/gpt-4o-mini - api_base: "https://webhook.site/2f385e05-00aa-402b-86d1-efc9261471a5" - api_key: dummy - - model_name: "byok-wildcard/*" - litellm_params: - model: openai/* - - model_name: gpt-4o - litellm_params: - model: azure/gpt-4o - api_base: https://cog-cuda-atg-sage-eastus2.openai.azure.com - api_version: 2025-04-01-preview + model: gpt-5-mini -litellm_settings: - enable_azure_ad_token_refresh: true +mcp_servers: + github_mcp: + url: "https://api.githubcopilot.com/mcp" + auth_type: oauth2 + authorization_url: https://github.com/login/oauth/authorize + token_url: https://github.com/login/oauth/access_token + client_id: os.environ/GITHUB_OAUTH_CLIENT_ID + client_secret: os.environ/GITHUB_OAUTH_CLIENT_SECRET + scopes: ["public_repo", "user:email"] diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index e2d68df29d3..41b36d46c75 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -776,6 +776,7 @@ class KeyRequestBase(GenerateRequestBase): tags: Optional[List[str]] = None enforced_params: Optional[List[str]] = None allowed_routes: Optional[list] = [] + allowed_passthrough_routes: Optional[list] = None rpm_limit_type: Optional[ Literal["guaranteed_throughput", "best_effort_throughput"] ] = None # raise an error if 'guaranteed_throughput' is set and we're overallocating rpm @@ -1281,6 +1282,7 @@ class NewTeamRequest(TeamBase): guardrails: Optional[List[str]] = None prompts: Optional[List[str]] = None object_permission: Optional[LiteLLM_ObjectPermissionBase] = None + allowed_passthrough_routes: Optional[list] = None team_member_budget: Optional[float] = ( None # allow user to set a budget for all team members ) @@ -1336,6 +1338,7 @@ class UpdateTeamRequest(LiteLLMPydanticObjectBase): team_member_rpm_limit: Optional[int] = None team_member_tpm_limit: Optional[int] = None team_member_key_duration: Optional[str] = None + allowed_passthrough_routes: Optional[list] = None class ResetTeamBudgetRequest(LiteLLMPydanticObjectBase): @@ -1443,7 +1446,7 @@ class LiteLLM_ObjectPermissionTable(LiteLLMPydanticObjectBase): "1234567890": ["tool_name_1", "tool_name_2"] } """ - + vector_stores: Optional[List[str]] = [] @@ -3138,6 +3141,7 @@ LiteLLM_ManagementEndpoint_MetadataFields_Premium = [ "team_member_key_duration", "prompts", "logging", + "allowed_passthrough_routes", ] diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py index 39f11e64bb7..12b25fd95ee 100644 --- a/litellm/proxy/auth/route_checks.py +++ b/litellm/proxy/auth/route_checks.py @@ -52,9 +52,12 @@ class RouteChecks: if len(valid_token.allowed_routes) == 0: return True - # explicit check for allowed routes - if route in valid_token.allowed_routes: - return True + # explicit check for allowed routes (exact match or prefix match) + for allowed_route in valid_token.allowed_routes: + if RouteChecks._route_matches_allowed_route( + route=route, allowed_route=allowed_route + ): + return True ## check if 'allowed_route' is a field name in LiteLLMRoutes if any( @@ -62,13 +65,13 @@ class RouteChecks: for allowed_route in valid_token.allowed_routes ): for allowed_route in valid_token.allowed_routes: - if allowed_route in LiteLLMRoutes._member_names_: + if allowed_route in LiteLLMRoutes._member_names_: if RouteChecks.check_route_access( route=route, allowed_routes=LiteLLMRoutes._member_map_[allowed_route].value, ): return True - + ################################################ # For llm_api_routes, also check registered pass-through endpoints ################################################ @@ -76,7 +79,10 @@ class RouteChecks: from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( InitPassThroughEndpointHelpers, ) - if InitPassThroughEndpointHelpers.is_registered_pass_through_route(route=route): + + if InitPassThroughEndpointHelpers.is_registered_pass_through_route( + route=route + ): return True # check if wildcard pattern is allowed @@ -111,6 +117,32 @@ class RouteChecks: return masker._mask_value(user_id) + @staticmethod + def _raise_admin_only_route_exception( + user_obj: Optional[LiteLLM_UserTable], + route: str, + ) -> None: + """ + Raise exception for routes that require proxy admin access + + Args: + user_obj (Optional[LiteLLM_UserTable]): The user object + route (str): The route being accessed + + Raises: + Exception: With user role and masked user_id information + """ + user_role = "unknown" + user_id = "unknown" + if user_obj is not None: + user_role = user_obj.user_role or "unknown" + user_id = user_obj.user_id or "unknown" + + masked_user_id = RouteChecks._mask_user_id(user_id) + raise Exception( + f"Only proxy admin can be used to generate, delete, update info for new keys/users/teams. Route={route}. Your role={user_role}. Your user_id={masked_user_id}" + ) + @staticmethod def non_proxy_admin_allowed_routes_check( user_obj: Optional[LiteLLM_UserTable], @@ -195,16 +227,27 @@ class RouteChecks: pass elif route.startswith("/v1/mcp/") or route.startswith("/mcp-rest/"): pass # authN/authZ handled by api itself - else: - user_role = "unknown" - user_id = "unknown" - if user_obj is not None: - user_role = user_obj.user_role or "unknown" - user_id = user_obj.user_id or "unknown" + elif RouteChecks.check_passthrough_route_access( + route=route, user_api_key_dict=valid_token + ): + pass + elif valid_token.allowed_routes is not None: + # check if route is in allowed_routes (exact match or prefix match) + route_allowed = False + for allowed_route in valid_token.allowed_routes: + if RouteChecks._route_matches_allowed_route( + route=route, allowed_route=allowed_route + ): + route_allowed = True + break - masked_user_id = RouteChecks._mask_user_id(user_id) - raise Exception( - f"Only proxy admin can be used to generate, delete, update info for new keys/users/teams. Route={route}. Your role={user_role}. Your user_id={masked_user_id}" + if not route_allowed: + RouteChecks._raise_admin_only_route_exception( + user_obj=user_obj, route=route + ) + else: + RouteChecks._raise_admin_only_route_exception( + user_obj=user_obj, route=route ) @staticmethod @@ -347,6 +390,32 @@ class RouteChecks: # If there's no wildcard, the pattern and route should match exactly return route == pattern + @staticmethod + def _route_matches_allowed_route(route: str, allowed_route: str) -> bool: + """ + Check if route matches the allowed_route pattern. + Supports both exact match and prefix match. + + Examples: + - allowed_route="/fake-openai-proxy-6", route="/fake-openai-proxy-6" -> True (exact match) + - allowed_route="/fake-openai-proxy-6", route="/fake-openai-proxy-6/v1/chat/completions" -> True (prefix match) + - allowed_route="/fake-openai-proxy-6", route="/fake-openai-proxy-600" -> False (not a valid prefix) + + Args: + route: The actual route being accessed + allowed_route: The allowed route pattern + + Returns: + bool: True if route matches (exact or prefix), False otherwise + """ + # Exact match + if route == allowed_route: + return True + # Prefix match - ensure we add "/" to prevent false matches like /fake-openai-proxy-600 + if route.startswith(allowed_route + "/"): + return True + return False + @staticmethod def check_route_access(route: str, allowed_routes: List[str]) -> bool: """ @@ -394,6 +463,44 @@ class RouteChecks: return False + @staticmethod + def check_passthrough_route_access( + route: str, user_api_key_dict: UserAPIKeyAuth + ) -> bool: + """ + Check if route is a passthrough route. + Supports both exact match and prefix match. + """ + metadata = user_api_key_dict.metadata + team_metadata = user_api_key_dict.team_metadata or {} + if metadata is None and team_metadata is None: + return False + if ( + "allowed_passthrough_routes" not in metadata + and "allowed_passthrough_routes" not in team_metadata + ): + return False + if ( + metadata.get("allowed_passthrough_routes") is None + and team_metadata.get("allowed_passthrough_routes") is None + ): + return False + + allowed_passthrough_routes = ( + metadata.get("allowed_passthrough_routes") + or team_metadata.get("allowed_passthrough_routes") + or [] + ) + + # Check if route matches any allowed passthrough route (exact or prefix match) + for allowed_route in allowed_passthrough_routes: + if RouteChecks._route_matches_allowed_route( + route=route, allowed_route=allowed_route + ): + return True + + return False + @staticmethod def _is_assistants_api_request(request: Request) -> bool: """ diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py index 3226ea01798..aa486433396 100644 --- a/litellm/proxy/management_endpoints/key_management_endpoints.py +++ b/litellm/proxy/management_endpoints/key_management_endpoints.py @@ -47,9 +47,9 @@ from litellm.proxy.management_endpoints.model_management_endpoints import ( _add_model_to_db, ) from litellm.proxy.management_helpers.object_permission_utils import ( + _set_object_permission, attach_object_permission_to_dict, handle_update_object_permission_common, - _set_object_permission, ) from litellm.proxy.management_helpers.team_member_permission_checks import ( TeamMemberPermissionChecks, @@ -563,6 +563,7 @@ async def _common_key_generation_helper( # noqa: PLR0915 data_json = data.model_dump(exclude_unset=True, exclude_none=True) # type: ignore data_json = handle_key_type(data, data_json) + # if we get max_budget passed to /key/generate, then use it as key_max_budget. Since generate_key_helper_fn is used to make new users if "max_budget" in data_json: data_json["key_max_budget"] = data_json.pop("max_budget", None) @@ -838,6 +839,7 @@ async def generate_key_fn( - enforced_params: Optional[List[str]] - List of enforced params for the key (Enterprise only). [Docs](https://docs.litellm.ai/docs/proxy/enterprise#enforce-required-params-for-llm-requests) - prompts: Optional[List[str]] - List of prompts that the key is allowed to use. - allowed_routes: Optional[list] - List of allowed routes for the key. Store the actual route or store a wildcard pattern for a set of routes. Example - ["/chat/completions", "/embeddings", "/keys/*"] + - allowed_passthrough_routes: Optional[list] - List of allowed pass through endpoints for the key. Store the actual endpoint or store a wildcard pattern for a set of endpoints. Example - ["/my-custom-endpoint"]. Use this instead of allowed_routes, if you just want to specify which pass through endpoints the key can access, without specifying the routes. If allowed_routes is specified, allowed_pass_through_endpoints is ignored. - object_permission: Optional[LiteLLM_ObjectPermissionBase] - key-specific object permission. Example - {"vector_stores": ["vector_store_1", "vector_store_2"], "mcp_tool_permissions": {"server_id_1": ["tool1", "tool2"]}}. IF null or {} then no object permission. - key_type: Optional[str] - Type of key that determines default allowed routes. Options: "llm_api" (can call LLM API routes), "management" (can call management routes), "read_only" (can only call info/read routes), "default" (uses default allowed routes). Defaults to "default". - prompts: Optional[List[str]] - List of allowed prompts for the key. If specified, the key will only be able to use these specific prompts. @@ -1114,8 +1116,6 @@ def prepare_metadata_fields( return non_default_values - - async def prepare_key_update_data( data: Union[UpdateKeyRequest, RegenerateKeyRequest], existing_key_row: LiteLLM_VerificationToken, @@ -1277,6 +1277,7 @@ async def update_key_fn( - temp_budget_increase: Optional[float] - Temporary budget increase for the key (Enterprise only). - temp_budget_expiry: Optional[str] - Expiry time for the temporary budget increase (Enterprise only). - allowed_routes: Optional[list] - List of allowed routes for the key. Store the actual route or store a wildcard pattern for a set of routes. Example - ["/chat/completions", "/embeddings", "/keys/*"] + - allowed_passthrough_routes: Optional[list] - List of allowed pass through routes for the key. Store the actual route or store a wildcard pattern for a set of routes. Example - ["/my-custom-endpoint"]. Use this instead of allowed_routes, if you just want to specify which pass through routes the key can access, without specifying the routes. If allowed_routes is specified, allowed_passthrough_routes is ignored. - prompts: Optional[List[str]] - List of allowed prompts for the key. If specified, the key will only be able to use these specific prompts. - object_permission: Optional[LiteLLM_ObjectPermissionBase] - key-specific object permission. Example - {"vector_stores": ["vector_store_1", "vector_store_2"], "mcp_tool_permissions": {"server_id_1": ["tool1", "tool2"]}}. IF null or {} then no object permission. - auto_rotate: Optional[bool] - Whether this key should be automatically rotated @@ -2819,6 +2820,7 @@ async def list_keys( code=status.HTTP_500_INTERNAL_SERVER_ERROR, ) + @router.get( "/key/aliases", tags=["key management"], diff --git a/litellm/proxy/management_endpoints/scim/scim_v2.py b/litellm/proxy/management_endpoints/scim/scim_v2.py index fd7d150a7f4..b8f6b4a4460 100644 --- a/litellm/proxy/management_endpoints/scim/scim_v2.py +++ b/litellm/proxy/management_endpoints/scim/scim_v2.py @@ -4,7 +4,6 @@ This is an enterprise feature and requires a premium license. """ -from litellm._uuid import uuid from typing import Any, Dict, List, Optional, Set, Tuple from fastapi import ( @@ -17,11 +16,12 @@ from fastapi import ( Request, Response, ) -from typing_extensions import TypedDict from pydantic import BaseModel +from typing_extensions import TypedDict import litellm from litellm._logging import verbose_proxy_logger +from litellm._uuid import uuid from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.proxy._types import ( LiteLLM_TeamTable, @@ -51,32 +51,31 @@ from litellm.types.proxy.management_endpoints.scim_v2 import * class UserProvisionerHelpers: """Helper methods for user provisioning operations.""" - + @staticmethod async def handle_existing_user_by_email( - prisma_client, - new_user_request: NewUserRequest + prisma_client, new_user_request: NewUserRequest ) -> Optional[SCIMUser]: """ Check if a user with the given email already exists and update them if found. - + Args: prisma_client: Database client new_user_request: New user request data - + Returns: SCIMUser if user was updated, None if no existing user found """ if not new_user_request.user_email: return None - + existing_user = await prisma_client.db.litellm_usertable.find_first( where={"user_email": new_user_request.user_email} ) - + if not existing_user: return None - + # Update the user updated_user = await prisma_client.db.litellm_usertable.update( where={"user_id": existing_user.user_id}, @@ -88,12 +87,15 @@ class UserProvisionerHelpers: "metadata": safe_dumps(new_user_request.metadata), }, ) - - return await ScimTransformations.transform_litellm_user_to_scim_user(updated_user) + + return await ScimTransformations.transform_litellm_user_to_scim_user( + updated_user + ) class ScimUserData(TypedDict): """Typed structure for extracted SCIM user data.""" + user_email: Optional[str] user_alias: Optional[str] sso_user_id: Optional[str] @@ -105,6 +107,7 @@ class ScimUserData(TypedDict): class GroupMemberExtractionResult(BaseModel): """Result of extracting and processing group members.""" + existing_member_ids: List[str] created_users: List[NewUserResponse] all_member_ids: List[str] # existing + newly created @@ -121,7 +124,7 @@ scim_router = APIRouter( async def _get_prisma_client_or_raise_exception(): """Check if database is connected and raise HTTPException if not.""" from litellm.proxy.proxy_server import prisma_client - + if prisma_client is None: raise HTTPException(status_code=500, detail={"error": "No database connected"}) return prisma_client @@ -130,32 +133,32 @@ async def _get_prisma_client_or_raise_exception(): async def _check_user_exists(user_id: str): """Check if user exists and return user, raise 404 if not found.""" prisma_client = await _get_prisma_client_or_raise_exception() - + user = await prisma_client.db.litellm_usertable.find_unique( where={"user_id": user_id} ) - + if not user: raise HTTPException( status_code=404, detail={"error": f"User not found with ID: {user_id}"} ) - + return user async def _check_team_exists(team_id: str): """Check if team exists and return team, raise 404 if not found.""" prisma_client = await _get_prisma_client_or_raise_exception() - + team = await prisma_client.db.litellm_teamtable.find_unique( where={"team_id": team_id} ) - + if not team: raise HTTPException( status_code=404, detail={"error": f"Group not found with ID: {team_id}"} ) - + return team @@ -184,7 +187,9 @@ def _extract_scim_user_data(user: SCIMUser) -> ScimUserData: } -def _build_scim_metadata(given_name: Optional[str], family_name: Optional[str], active: Optional[bool] = None) -> Dict[str, Any]: +def _build_scim_metadata( + given_name: Optional[str], family_name: Optional[str], active: Optional[bool] = None +) -> Dict[str, Any]: """Build metadata dictionary with SCIM data.""" metadata: Dict[str, Any] = { "scim_metadata": LiteLLM_UserScimMetadata( @@ -192,17 +197,17 @@ def _build_scim_metadata(given_name: Optional[str], family_name: Optional[str], familyName=family_name, ).model_dump() } - + if active is not None: metadata["scim_active"] = active - + return metadata async def _extract_group_member_ids(group: SCIMGroup) -> GroupMemberExtractionResult: """ Extract member IDs from SCIMGroup, creating users that don't exist. - + Returns: GroupMemberExtractionResult with existing members, created users, and all member IDs """ @@ -210,35 +215,34 @@ async def _extract_group_member_ids(group: SCIMGroup) -> GroupMemberExtractionRe existing_member_ids = [] created_users = [] all_member_ids = [] - + if group.members: for member in group.members: user_id = member.value - + # Check if user exists user = await prisma_client.db.litellm_usertable.find_unique( where={"user_id": user_id} ) - + if user: existing_member_ids.append(user_id) all_member_ids.append(user_id) else: # Create the user if they don't exist using our helper created_user = await _create_user_if_not_exists( - user_id=user_id, - created_via="scim_group_membership" + user_id=user_id, created_via="scim_group_membership" ) - + if created_user: created_users.append(created_user) all_member_ids.append(user_id) # If creation failed, user is skipped (logged in helper) - + return GroupMemberExtractionResult( existing_member_ids=existing_member_ids, created_users=created_users, - all_member_ids=all_member_ids + all_member_ids=all_member_ids, ) @@ -246,7 +250,7 @@ async def _get_team_members_display(member_ids: List[str]) -> List[SCIMMember]: """Get SCIMMember objects with display names for a list of member IDs.""" prisma_client = await _get_prisma_client_or_raise_exception() members: List[SCIMMember] = [] - + for member_id in member_ids: user = await prisma_client.db.litellm_usertable.find_unique( where={"user_id": member_id} @@ -254,18 +258,20 @@ async def _get_team_members_display(member_ids: List[str]) -> List[SCIMMember]: if user: display_name = user.user_email or user.user_id members.append(SCIMMember(value=user.user_id, display=display_name)) - + return members -async def _handle_team_membership_changes(user_id: str, existing_teams: List[str], new_teams: List[str]) -> None: +async def _handle_team_membership_changes( + user_id: str, existing_teams: List[str], new_teams: List[str] +) -> None: """Handle adding/removing user from teams based on changes.""" existing_teams_set = set(existing_teams) new_teams_set = set(new_teams) - + teams_to_add = new_teams_set - existing_teams_set teams_to_remove = existing_teams_set - new_teams_set - + if teams_to_add or teams_to_remove: await patch_team_membership( user_id=user_id, @@ -274,19 +280,21 @@ async def _handle_team_membership_changes(user_id: str, existing_teams: List[str ) -async def _create_user_if_not_exists(user_id: str, created_via: str = "scim_group") -> Optional[NewUserResponse]: +async def _create_user_if_not_exists( + user_id: str, created_via: str = "scim_group" +) -> Optional[NewUserResponse]: """ Helper function to create a user if they don't exist. - + Args: user_id: The user ID to create created_via: Context for where the user was created from - + Returns: LiteLLM_UserTable if user was created, None if creation failed """ from litellm.proxy.management_endpoints.internal_user_endpoints import new_user - + try: # Get default role for new internal users default_role: Optional[ @@ -313,7 +321,7 @@ async def _create_user_if_not_exists(user_id: str, created_via: str = "scim_grou created_user = await new_user(data=new_user_request) verbose_proxy_logger.info(f"Created user {user_id} via {created_via}") return created_user - + except Exception as e: verbose_proxy_logger.exception(f"Failed to create user {user_id}: {e}") return None @@ -324,7 +332,7 @@ async def _get_team_member_user_ids_from_team(team: LiteLLM_TeamTable) -> List[s Get the IDs of the members from a team. Use one source of truth for the member IDs: team.members_with_roles - + """ member_user_ids: List[str] = [] for member in team.members_with_roles or []: @@ -337,7 +345,6 @@ async def _get_team_member_user_ids_from_team(team: LiteLLM_TeamTable) -> List[s return member_user_ids - # Dependency to set the correct SCIM Content-Type async def set_scim_content_type(response: Response): """Sets the Content-Type header to application/scim+json""" @@ -450,7 +457,7 @@ async def get_user( verbose_proxy_logger.debug("SCIM GET USER request for user_id=%s", user_id) try: user = await _check_user_exists(user_id) - + # Convert to SCIM format scim_user = await ScimTransformations.transform_litellm_user_to_scim_user(user) return scim_user @@ -458,6 +465,7 @@ async def get_user( except Exception as e: raise handle_exception_on_proxy(e) + @scim_router.post( "/Users", response_model=SCIMUser, @@ -471,11 +479,9 @@ async def create_user( Create a user according to SCIM v2 protocol """ try: - verbose_proxy_logger.debug( - "SCIM CREATE USER request: %s", user.model_dump() - ) + verbose_proxy_logger.debug("SCIM CREATE USER request: %s", user.model_dump()) prisma_client = await _get_prisma_client_or_raise_exception() - + # Extract data from SCIM user user_data = _extract_scim_user_data(user) @@ -487,20 +493,24 @@ async def create_user( if existing_user: raise HTTPException( status_code=409, - detail={"error": f"User already exists with username: {user.userName}"}, + detail={ + "error": f"User already exists with username: {user.userName}" + }, ) # Create user in database user_id = user.userName or str(uuid.uuid4()) - metadata = _build_scim_metadata(user_data["given_name"], user_data["family_name"]) + metadata = _build_scim_metadata( + user_data["given_name"], user_data["family_name"] + ) default_role: Optional[ Literal[ - LitellmUserRoles.PROXY_ADMIN, - LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, - LitellmUserRoles.INTERNAL_USER, - LitellmUserRoles.INTERNAL_USER_VIEW_ONLY, - ] + LitellmUserRoles.PROXY_ADMIN, + LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + LitellmUserRoles.INTERNAL_USER, + LitellmUserRoles.INTERNAL_USER_VIEW_ONLY, + ] ] = LitellmUserRoles.INTERNAL_USER_VIEW_ONLY if litellm.default_internal_user_params: default_role = litellm.default_internal_user_params.get("user_role") @@ -517,22 +527,23 @@ async def create_user( # Check if user with email already exists and update if found existing_user_scim = await UserProvisionerHelpers.handle_existing_user_by_email( - prisma_client=prisma_client, - new_user_request=new_user_request + prisma_client=prisma_client, new_user_request=new_user_request ) - + if existing_user_scim: return existing_user_scim created_user = await new_user( data=new_user_request, ) - + scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( user=created_user ) return scim_user - except HTTPException as e: # allow exceptions like SCIMUserAlreadyExists to be raised + except ( + HTTPException + ) as e: # allow exceptions like SCIMUserAlreadyExists to be raised raise e except Exception as e: raise handle_exception_on_proxy(e) @@ -564,18 +575,16 @@ async def update_user( # Extract data from SCIM user user_data = _extract_scim_user_data(user) - # Build metadata with SCIM data + # Build metadata with SCIM data metadata = _build_scim_metadata( - user_data["given_name"], - user_data["family_name"], - user_data["active"] + user_data["given_name"], user_data["family_name"], user_data["active"] ) # Handle team membership changes await _handle_team_membership_changes( user_id=user_id, existing_teams=existing_user.teams or [], - new_teams=user_data["teams"] + new_teams=user_data["teams"], ) # Update user with all new data (full replacement) @@ -590,6 +599,7 @@ async def update_user( # Serialize metadata to JSON string for Prisma to avoid GraphQL parsing issues if "metadata" in update_data and isinstance(update_data["metadata"], dict): from litellm.litellm_core_utils.safe_json_dumps import safe_dumps + update_data["metadata"] = safe_dumps(update_data["metadata"]) updated_user = await prisma_client.db.litellm_usertable.update( @@ -598,8 +608,10 @@ async def update_user( ) # Convert back to SCIM format - scim_user = await ScimTransformations.transform_litellm_user_to_scim_user(updated_user) - + scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( + updated_user + ) + return scim_user except Exception as e: @@ -617,9 +629,7 @@ async def delete_user( """ Delete a user according to SCIM v2 protocol """ - verbose_proxy_logger.debug( - "SCIM DELETE USER request for user_id=%s", user_id - ) + verbose_proxy_logger.debug("SCIM DELETE USER request for user_id=%s", user_id) try: prisma_client = await _get_prisma_client_or_raise_exception() existing_user = await _check_user_exists(user_id) @@ -668,7 +678,9 @@ def _extract_group_values(value: Any) -> List[str]: return group_values -def _handle_displayname_update(op_type: str, value: Any, update_data: Dict[str, Any]) -> None: +def _handle_displayname_update( + op_type: str, value: Any, update_data: Dict[str, Any] +) -> None: """Handle displayname updates.""" if op_type == "remove": update_data["user_alias"] = None @@ -676,7 +688,9 @@ def _handle_displayname_update(op_type: str, value: Any, update_data: Dict[str, update_data["user_alias"] = str(value) -def _handle_externalid_update(op_type: str, value: Any, update_data: Dict[str, Any]) -> None: +def _handle_externalid_update( + op_type: str, value: Any, update_data: Dict[str, Any] +) -> None: """Handle externalid updates.""" if op_type == "remove": update_data["sso_user_id"] = None @@ -697,7 +711,9 @@ def _handle_active_update(op_type: str, value: Any, metadata: Dict[str, Any]) -> metadata["scim_active"] = bool_val -def _handle_name_update(path: str, op_type: str, value: Any, scim_metadata: Dict[str, Any]) -> None: +def _handle_name_update( + path: str, op_type: str, value: Any, scim_metadata: Dict[str, Any] +) -> None: """Handle name field updates (givenName, familyName).""" if path == "name.givenname": if op_type == "remove": @@ -711,7 +727,9 @@ def _handle_name_update(path: str, op_type: str, value: Any, scim_metadata: Dict scim_metadata["familyName"] = str(value) -def _handle_group_operations(op_type: str, value: Any, teams_set: Set[str]) -> Optional[Set[str]]: +def _handle_group_operations( + op_type: str, value: Any, teams_set: Set[str] +) -> Optional[Set[str]]: """Handle group/team membership operations.""" group_values = _extract_group_values(value) if op_type == "replace": @@ -724,7 +742,9 @@ def _handle_group_operations(op_type: str, value: Any, teams_set: Set[str]) -> O return None -def _handle_generic_metadata(path: str, op_type: str, value: Any, metadata: Dict[str, Any]) -> None: +def _handle_generic_metadata( + path: str, op_type: str, value: Any, metadata: Dict[str, Any] +) -> None: """Handle generic metadata operations for unknown paths.""" if op_type == "remove": metadata.pop(path, None) @@ -769,6 +789,7 @@ def _apply_patch_ops( update_data["metadata"] = metadata return update_data, final_team_set + async def patch_team_membership( user_id: str, teams_ids_to_add_user_to: List[str], @@ -778,29 +799,35 @@ async def patch_team_membership( Add or remove user from teams """ for _team_id in teams_ids_to_add_user_to: - try: - await team_member_add( - data=TeamMemberAddRequest( - team_id=_team_id, - member=Member(user_id=user_id, role="user"), - ), - user_api_key_dict=UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN), - ) - except Exception as e: - verbose_proxy_logger.exception(f"Error adding user to team {_team_id}: {e}") + try: + await team_member_add( + data=TeamMemberAddRequest( + team_id=_team_id, + member=Member(user_id=user_id, role="user"), + ), + user_api_key_dict=UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN + ), + ) + except Exception as e: + verbose_proxy_logger.exception(f"Error adding user to team {_team_id}: {e}") for _team_id in teams_ids_to_remove_user_from: try: await team_member_delete( data=TeamMemberDeleteRequest(team_id=_team_id, user_id=user_id), - user_api_key_dict=UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN), + user_api_key_dict=UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN + ), ) except Exception as e: - verbose_proxy_logger.exception(f"Error removing user from team {_team_id}: {e}") - + verbose_proxy_logger.exception( + f"Error removing user from team {_team_id}: {e}" + ) return True + @scim_router.patch( "/Users/{user_id}", response_model=SCIMUser, @@ -833,7 +860,7 @@ async def patch_user( await _handle_team_membership_changes( user_id=user_id, existing_teams=existing_user.teams or [], - new_teams=list(final_team_set) + new_teams=list(final_team_set), ) update_data["teams"] = list(final_team_set) @@ -841,6 +868,7 @@ async def patch_user( # Serialize metadata to JSON string for Prisma to avoid GraphQL parsing issues if "metadata" in update_data and isinstance(update_data["metadata"], dict): from litellm.litellm_core_utils.safe_json_dumps import safe_dumps + update_data["metadata"] = safe_dumps(update_data["metadata"]) updated_user = await prisma_client.db.litellm_usertable.update( @@ -848,7 +876,9 @@ async def patch_user( data=update_data, ) - scim_user = await ScimTransformations.transform_litellm_user_to_scim_user(updated_user) + scim_user = await ScimTransformations.transform_litellm_user_to_scim_user( + updated_user + ) return scim_user @@ -947,9 +977,7 @@ async def get_group( """ Get a single group by ID according to SCIM v2 protocol """ - verbose_proxy_logger.debug( - "SCIM GET GROUP request for group_id=%s", group_id - ) + verbose_proxy_logger.debug("SCIM GET GROUP request for group_id=%s", group_id) try: team = await _check_team_exists(group_id) @@ -981,9 +1009,9 @@ async def create_group( ) try: prisma_client = await _get_prisma_client_or_raise_exception() - + # Generate ID if not provided - team_id = group.id or str(uuid.uuid4()) + team_id = group.id or group.externalId or str(uuid.uuid4()) # Check if team already exists existing_team = await prisma_client.db.litellm_teamtable.find_unique( @@ -998,7 +1026,10 @@ async def create_group( # Extract and process group members (creating users that don't exist) member_result = await _extract_group_member_ids(group) - members_with_roles = [Member(user_id=member_id, role="user") for member_id in member_result.all_member_ids] + members_with_roles = [ + Member(user_id=member_id, role="user") + for member_id in member_result.all_member_ids + ] # Create team in database created_team = await new_team( @@ -1043,13 +1074,17 @@ async def update_group( # Extract and process group members (creating users that don't exist) member_result = await _extract_group_member_ids(group) - verbose_proxy_logger.debug(f"SCIM PUT GROUP all_member_ids: {member_result.all_member_ids}") - verbose_proxy_logger.debug(f"SCIM PUT GROUP created_users: {len(member_result.created_users)}") + verbose_proxy_logger.debug( + f"SCIM PUT GROUP all_member_ids: {member_result.all_member_ids}" + ) + verbose_proxy_logger.debug( + f"SCIM PUT GROUP created_users: {len(member_result.created_users)}" + ) # Prepare update data existing_metadata = existing_team.metadata if existing_team.metadata else {} updated_metadata = {**existing_metadata, "scim_data": group.model_dump()} - + update_data = { "team_alias": group.displayName, "metadata": safe_dumps(updated_metadata), @@ -1066,7 +1101,7 @@ async def update_group( verbose_proxy_logger.debug(f"SCIM PUT GROUP current_members: {current_members}") final_members = set(member_result.all_member_ids) verbose_proxy_logger.debug(f"SCIM PUT GROUP final_members: {final_members}") - + await _handle_group_membership_changes( group_id=group_id, current_members=current_members, @@ -1094,9 +1129,7 @@ async def delete_group( """ Delete a group according to SCIM v2 protocol """ - verbose_proxy_logger.debug( - "SCIM DELETE GROUP request for group_id=%s", group_id - ) + verbose_proxy_logger.debug("SCIM DELETE GROUP request for group_id=%s", group_id) try: prisma_client = await _get_prisma_client_or_raise_exception() existing_team = await _check_team_exists(group_id) @@ -1124,21 +1157,19 @@ async def delete_group( async def _process_group_patch_operations( - patch_ops: SCIMPatchOp, - existing_team, - prisma_client + patch_ops: SCIMPatchOp, existing_team, prisma_client ) -> Tuple[Dict[str, Any], Set[str]]: """Process patch operations for a group and return update data and final members.""" update_data: Dict[str, Any] = {} - + # Create a fresh copy of existing metadata to avoid Prisma issues existing_metadata = existing_team.metadata or {} metadata = dict(existing_metadata) if existing_metadata else {} - + # Track member changes current_members = set(existing_team.members or []) final_members = current_members.copy() - + # Process each patch operation for op in patch_ops.Operations: path = (op.path or "").lower() @@ -1169,14 +1200,13 @@ async def _process_group_patch_operations( else: # Create the user if they don't exist using our helper created_user = await _create_user_if_not_exists( - user_id=member_id, - created_via="scim_group_patch" + user_id=member_id, created_via="scim_group_patch" ) - + if created_user: valid_members.append(member_id) # If creation failed, user is skipped (logged in helper) - + if op_type == "replace": final_members = set(valid_members) elif op_type == "add": @@ -1194,21 +1224,18 @@ async def _process_group_patch_operations( # Include metadata in update data if it exists if metadata: update_data["metadata"] = metadata - + return update_data, final_members async def _apply_group_patch_updates( - group_id: str, - update_data: Dict[str, Any], - final_members: Set[str], - prisma_client + group_id: str, update_data: Dict[str, Any], final_members: Set[str], prisma_client ): """Apply patch updates to the group in the database.""" # Serialize metadata if present if "metadata" in update_data and isinstance(update_data["metadata"], dict): update_data["metadata"] = safe_dumps(update_data["metadata"]) - + # Update members list update_data["members"] = list(final_members) @@ -1217,22 +1244,20 @@ async def _apply_group_patch_updates( where={"team_id": group_id}, data=update_data, ) - + return updated_team async def _handle_group_membership_changes( - group_id: str, - current_members: Set[str], - final_members: Set[str] + group_id: str, current_members: Set[str], final_members: Set[str] ): """Handle adding/removing members from the group.""" members_to_add = final_members - current_members members_to_remove = current_members - final_members - + verbose_proxy_logger.debug(f"members_to_add: {members_to_add}") verbose_proxy_logger.debug(f"members_to_remove: {members_to_remove}") - + # Use existing helper functions for team membership changes for member_id in members_to_add: await patch_team_membership( @@ -1276,7 +1301,7 @@ async def patch_group( update_data, final_members = await _process_group_patch_operations( patch_ops, existing_team, prisma_client ) - + # Track current members for comparison current_members = set(await _get_team_member_user_ids_from_team(existing_team)) @@ -1286,9 +1311,7 @@ async def patch_group( ) # Handle user-team relationship changes - await _handle_group_membership_changes( - group_id, current_members, final_members - ) + await _handle_group_membership_changes(group_id, current_members, final_members) # Convert to SCIM format and return scim_group = await ScimTransformations.transform_litellm_team_to_scim_group( diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index d05a0259f46..f2d2cef3d6f 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -27,6 +27,7 @@ from litellm.proxy._types import ( CommonProxyErrors, DeleteTeamRequest, LiteLLM_AuditLogs, + LiteLLM_ManagementEndpoint_MetadataFields, LiteLLM_ManagementEndpoint_MetadataFields_Premium, LiteLLM_ModelTable, LiteLLM_OrganizationTable, @@ -56,9 +57,6 @@ from litellm.proxy._types import ( UpdateTeamRequest, UserAPIKeyAuth, ) -from litellm.proxy.management_helpers.object_permission_utils import ( - _set_object_permission, -) from litellm.proxy.auth.auth_checks import ( allowed_route_check_inside_route, can_org_access_model, @@ -76,6 +74,7 @@ from litellm.proxy.management_endpoints.tag_management_endpoints import ( get_daily_activity, ) from litellm.proxy.management_helpers.object_permission_utils import ( + _set_object_permission, handle_update_object_permission_common, ) from litellm.proxy.management_helpers.team_member_permission_checks import ( @@ -320,7 +319,9 @@ async def new_team( # noqa: PLR0915 - team_member_tpm_limit: Optional[int] - The TPM (Tokens Per Minute) limit for individual team members. - team_member_key_duration: Optional[str] - The duration for a team member's key. e.g. "1d", "1w", "1mo" - prompts: Optional[List[str]] - List of allowed prompts for the team. If specified, the team will only be able to use these specific prompts. + - allowed_passthrough_routes: Optional[List[str]] - List of allowed pass through routes for the team. + Returns: - team_id: (str) Unique team id - used for tracking spend across multiple keys for same team id. @@ -478,7 +479,7 @@ async def new_team( # noqa: PLR0915 ## Create Team Member Budget Table data_json = data.json() - + ## Handle Object Permission - MCP, Vector Stores etc. data_json = await _set_object_permission( data_json=data_json, @@ -514,6 +515,14 @@ async def new_team( # noqa: PLR0915 value=getattr(data, field), ) + for field in LiteLLM_ManagementEndpoint_MetadataFields: + if getattr(data, field, None) is not None: + _set_object_metadata_field( + object_data=complete_team_data, + field_name=field, + value=getattr(data, field), + ) + # If budget_duration is set, set `budget_reset_at` if complete_team_data.budget_duration is not None: from litellm.proxy.common_utils.timezone_utils import get_budget_reset_time @@ -619,6 +628,53 @@ async def _update_model_table( return _model_id +async def fetch_and_validate_organization( + organization_id: str, + existing_team_row: Any, + llm_router: Optional[Router], + prisma_client: Any, +) -> Any: + """ + Fetch and validate an organization for team update operations. + + Args: + organization_id: The organization ID to fetch + existing_team_row: The existing team row being updated + llm_router: The LLM router instance + prisma_client: The Prisma database client + + Returns: + The organization row from the database + + Raises: + HTTPException: If llm_router is None, organization not found, or validation fails + """ + if llm_router is None: + raise HTTPException( + status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value} + ) + + organization_row = await prisma_client.db.litellm_organizationtable.find_unique( + where={"organization_id": organization_id}, + include={"litellm_budget_table": True, "users": True}, + ) + + if organization_row is None: + raise HTTPException( + status_code=404, + detail={ + "error": f"Organization not found, passed organization_id={organization_id}" + }, + ) + + validate_team_org_change( + team=LiteLLM_TeamTable(**existing_team_row.model_dump()), + organization=LiteLLM_OrganizationTable(**organization_row.model_dump()), + llm_router=llm_router, + ) + + return organization_row + def validate_team_org_change( team: LiteLLM_TeamTable, organization: LiteLLM_OrganizationTable, llm_router: Router @@ -754,6 +810,7 @@ async def update_team( - team_member_rpm_limit: Optional[int] - The RPM (Requests Per Minute) limit for individual team members. - team_member_tpm_limit: Optional[int] - The TPM (Tokens Per Minute) limit for individual team members. - team_member_key_duration: Optional[str] - The duration for a team member's key. e.g. "1d", "1w", "1mo" + - allowed_passthrough_routes: Optional[List[str]] - List of allowed pass through routes for the team. Example - update team TPM Limit ``` @@ -810,25 +867,11 @@ async def update_team( if ( data.organization_id is not None and len(data.organization_id) > 0 ): # allow unsetting the organization_id - if llm_router is None: - raise HTTPException( - status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value} - ) - organization_row = await prisma_client.db.litellm_organizationtable.find_unique( - where={"organization_id": data.organization_id}, - include={"litellm_budget_table": True, "users": True}, - ) - if organization_row is None: - raise HTTPException( - status_code=404, - detail={ - "error": f"Organization not found, passed organization_id={data.organization_id}" - }, - ) - validate_team_org_change( - team=LiteLLM_TeamTable(**existing_team_row.model_dump()), - organization=LiteLLM_OrganizationTable(**organization_row.model_dump()), + await fetch_and_validate_organization( + organization_id=data.organization_id, + existing_team_row=existing_team_row, llm_router=llm_router, + prisma_client=prisma_client, ) elif data.organization_id is not None and len(data.organization_id) == 0: # unsetting the organization_id @@ -877,6 +920,13 @@ async def update_team( field_name=field, ) + for field in LiteLLM_ManagementEndpoint_MetadataFields: + if field in updated_kv and updated_kv[field] is not None: + _update_team_metadata_field( + updated_kv=updated_kv, + field_name=field, + ) + if "model_aliases" in updated_kv: updated_kv.pop("model_aliases") _model_id = await _update_model_table( diff --git a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py index 227ea4db9ff..478966d61b3 100644 --- a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py @@ -5,7 +5,7 @@ import json import traceback from base64 import b64encode from datetime import datetime -from typing import Any, Dict, List, Optional, Tuple, Union +from typing import Any, Dict, List, Optional, Tuple, Union, cast from urllib.parse import urlencode, urlparse import httpx @@ -42,6 +42,7 @@ from litellm.passthrough import BasePassthroughUtils from litellm.proxy._types import ( ConfigFieldInfo, ConfigFieldUpdate, + LiteLLMRoutes, PassThroughEndpointResponse, PassThroughGenericEndpoint, ProxyException, @@ -66,7 +67,7 @@ router = APIRouter() pass_through_endpoint_logging = PassThroughEndpointLogging() # Global registry to track registered pass-through routes and prevent memory leaks -_registered_pass_through_routes: Dict[str, Dict[str, str]] = {} +_registered_pass_through_routes: Dict[str, Dict[str, Union[str, Dict[str, Any]]]] = {} def get_response_body(response: httpx.Response) -> Optional[dict]: @@ -974,24 +975,74 @@ def create_pass_through_route( ] = None, # if pass-through endpoint is a streaming request subpath: str = "", # captures sub-paths when include_subpath=True ): + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + InitPassThroughEndpointHelpers, + ) + + path = request.url.path + + if not InitPassThroughEndpointHelpers.is_registered_pass_through_route( + route=path + ): + raise HTTPException( + status_code=404, + detail=f"Pass-through endpoint {endpoint} not found. This could have been deleted or not yet added to the proxy.", + ) + + passthrough_params = ( + InitPassThroughEndpointHelpers.get_registered_pass_through_route( + route=path + ) + ) + target_params = { + "target": target, + "custom_headers": custom_headers, + "forward_headers": _forward_headers, + "merge_query_params": _merge_query_params, + "cost_per_request": cost_per_request, + } + + if passthrough_params is not None: + target_params.update(passthrough_params.get("passthrough_params", {})) + + # Extract and cast parameters with proper types + param_target = target_params.get("target") or target + param_custom_headers = target_params.get("custom_headers", custom_headers) + param_forward_headers = target_params.get( + "forward_headers", _forward_headers + ) + param_merge_query_params = target_params.get( + "merge_query_params", _merge_query_params + ) + param_cost_per_request = target_params.get( + "cost_per_request", cost_per_request + ) + # Construct the full target URL with subpath if needed full_target = ( HttpPassThroughEndpointHelpers.construct_target_url_with_subpath( - base_target=target, subpath=subpath, include_subpath=include_subpath + base_target=cast(str, param_target), + subpath=subpath, + include_subpath=include_subpath, ) ) + # Ensure custom_headers is a dict + headers_dict = ( + param_custom_headers if isinstance(param_custom_headers, dict) else {} + ) + return await pass_through_request( # type: ignore request=request, target=full_target, - custom_headers=custom_headers or {}, + custom_headers=headers_dict, user_api_key_dict=user_api_key_dict, - forward_headers=_forward_headers, - merge_query_params=_merge_query_params, + forward_headers=cast(Optional[bool], param_forward_headers), + merge_query_params=cast(Optional[bool], param_merge_query_params), query_params=query_params, stream=stream, custom_body=custom_body, - cost_per_request=cost_per_request, + cost_per_request=cast(Optional[float], param_cost_per_request), custom_llm_provider=custom_llm_provider, ) @@ -1592,6 +1643,14 @@ class InitPassThroughEndpointHelpers: "endpoint_id": endpoint_id, "path": path, "type": "exact", + "passthrough_params": { + "target": target, + "custom_headers": custom_headers, + "forward_headers": forward_headers, + "merge_query_params": merge_query_params, + "dependencies": dependencies, + "cost_per_request": cost_per_request, + }, } @staticmethod @@ -1645,6 +1704,14 @@ class InitPassThroughEndpointHelpers: "endpoint_id": endpoint_id, "path": path, "type": "subpath", + "passthrough_params": { + "target": target, + "custom_headers": custom_headers, + "forward_headers": forward_headers, + "merge_query_params": merge_query_params, + "dependencies": dependencies, + "cost_per_request": cost_per_request, + }, } @staticmethod @@ -1661,6 +1728,11 @@ class InitPassThroughEndpointHelpers: "Removed pass-through route from registry: %s", key ) + @staticmethod + def clear_all_pass_through_routes(): + """Clear all pass-through routes from the registry""" + _registered_pass_through_routes.clear() + @staticmethod def is_registered_pass_through_route(route: str) -> bool: """ @@ -1675,6 +1747,12 @@ class InitPassThroughEndpointHelpers: Returns: bool: True if route is a registered pass-through endpoint, False otherwise """ + + ## CHECK IF MAPPED PASS THROUGH ENDPOINT + for mapped_route in LiteLLMRoutes.mapped_pass_through_routes.value: + if route.startswith(mapped_route): + return True + # Fast path: check if any registered route key contains this path # Keys are in format: "{endpoint_id}:exact:{path}" or "{endpoint_id}:subpath:{path}" # Extract unique paths from keys for quick checking @@ -1683,7 +1761,6 @@ class InitPassThroughEndpointHelpers: if len(parts) == 3: route_type = parts[1] registered_path = parts[2] - if route_type == "exact" and route == registered_path: return True elif route_type == "subpath": @@ -1694,11 +1771,42 @@ class InitPassThroughEndpointHelpers: return False + @staticmethod + def get_registered_pass_through_route(route: str) -> Optional[Dict[str, Any]]: + """Get passthrough params for a given route""" + for key in _registered_pass_through_routes.keys(): + parts = key.split(":", 2) # Split into [endpoint_id, type, path] + if len(parts) == 3: + route_type = parts[1] + registered_path = parts[2] + + if route_type == "exact" and route == registered_path: + return _registered_pass_through_routes[key] + elif route_type == "subpath": + if route == registered_path or route.startswith( + registered_path + "/" + ): + return _registered_pass_through_routes[key] + + return None + + +def _get_combined_pass_through_endpoints( + pass_through_endpoints: Union[List[Dict], List[PassThroughGenericEndpoint]], + config_pass_through_endpoints: List[Dict], +): + """Get combined pass-through endpoints from db + config""" + return pass_through_endpoints + config_pass_through_endpoints + async def initialize_pass_through_endpoints( pass_through_endpoints: Union[List[Dict], List[PassThroughGenericEndpoint]], ): """ + 1. Create a global list of pass-through endpoints (db + config) + 2. Clear all existing pass-through endpoints from the FastAPI app routes + 3. Add new endpoints to the in-memory registry + Initialize a list of pass-through endpoints by adding them to the FastAPI app routes Args: @@ -1711,9 +1819,26 @@ async def initialize_pass_through_endpoints( verbose_proxy_logger.debug("initializing pass through endpoints") from litellm.proxy._types import CommonProxyErrors, LiteLLMRoutes - from litellm.proxy.proxy_server import app, premium_user + from litellm.proxy.proxy_server import ( + app, + config_passthrough_endpoints, + premium_user, + ) - for endpoint in pass_through_endpoints: + ## get combined pass-through endpoints from db + config + combined_pass_through_endpoints: List[Union[Dict, PassThroughGenericEndpoint]] + + if config_passthrough_endpoints is not None: + combined_pass_through_endpoints = _get_combined_pass_through_endpoints( # type: ignore + pass_through_endpoints, config_passthrough_endpoints + ) + else: + combined_pass_through_endpoints = pass_through_endpoints # type: ignore + + ## clear all existing pass-through endpoints from the FastAPI app routes + InitPassThroughEndpointHelpers.clear_all_pass_through_routes() + + for endpoint in combined_pass_through_endpoints: if isinstance(endpoint, PassThroughGenericEndpoint): endpoint = endpoint.model_dump() @@ -1818,23 +1943,91 @@ async def _get_pass_through_endpoints_from_db( return returned_endpoints +async def _filter_endpoints_by_team_allowed_routes( + team_id: str, + pass_through_endpoints: List[PassThroughGenericEndpoint], + prisma_client, +) -> List[PassThroughGenericEndpoint]: + """ + Filter pass-through endpoints based on team's allowed_passthrough_routes metadata. + + Args: + team_id: The team ID to check permissions for + pass_through_endpoints: List of endpoints to filter + prisma_client: Database client + + Returns: + Filtered list of endpoints based on team permissions + + Raises: + HTTPException: If team is not found + """ + # retrieve team from db + team = await prisma_client.db.litellm_teamtable.find_unique( + where={"team_id": team_id}, + ) + if team is None: + raise HTTPException( + status_code=404, + detail={"error": "Team not found"}, + ) + + # retrieve team metadata + team_metadata = team.metadata + if ( + team_metadata is not None + and team_metadata.get("allowed_passthrough_routes") is not None + ): + ## FILTER pass_through_endpoints by allowed_passthrough_routes + pass_through_endpoints = [ + endpoint + for endpoint in pass_through_endpoints + if endpoint.path in team_metadata.get("allowed_passthrough_routes") + ] + + return pass_through_endpoints + + @router.get( "/config/pass_through_endpoint", dependencies=[Depends(user_api_key_auth)], response_model=PassThroughEndpointResponse, ) +@router.get( + "/config/pass_through_endpoint/team/{team_id}", + dependencies=[Depends(user_api_key_auth)], + response_model=PassThroughEndpointResponse, +) async def get_pass_through_endpoints( endpoint_id: Optional[str] = None, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + team_id: Optional[str] = None, ): """ GET configured pass through endpoint. If no endpoint_id given, return all configured endpoints. """ ## Get existing pass-through endpoint field value + from litellm.proxy._types import CommonProxyErrors + from litellm.proxy.proxy_server import prisma_client + + if prisma_client is None: + raise HTTPException( + status_code=500, + detail={"error": CommonProxyErrors.db_not_connected_error.value}, + ) + pass_through_endpoints = await _get_pass_through_endpoints_from_db( endpoint_id=endpoint_id, user_api_key_dict=user_api_key_dict ) + + if team_id is not None: + pass_through_endpoints = await _filter_endpoints_by_team_allowed_routes( + team_id=team_id, + pass_through_endpoints=pass_through_endpoints, + prisma_client=prisma_client, + ) + return PassThroughEndpointResponse(endpoints=pass_through_endpoints) @@ -1930,6 +2123,7 @@ async def update_pass_through_endpoints( field_value=pass_through_endpoint_data, config_type="general_settings", ) + await update_config_general_settings( data=updated_data, user_api_key_dict=user_api_key_dict ) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index be0f7d6be08..8f5a046be03 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -259,9 +259,7 @@ from litellm.proxy.management_endpoints.customer_endpoints import ( from litellm.proxy.management_endpoints.internal_user_endpoints import ( router as internal_user_router, ) -from litellm.proxy.management_endpoints.internal_user_endpoints import ( - user_update, -) +from litellm.proxy.management_endpoints.internal_user_endpoints import user_update from litellm.proxy.management_endpoints.key_management_endpoints import ( delete_verification_tokens, duration_in_seconds, @@ -308,9 +306,7 @@ from litellm.proxy.middleware.prometheus_auth_middleware import PrometheusAuthMi from litellm.proxy.openai_files_endpoints.files_endpoints import ( router as openai_files_router, ) -from litellm.proxy.openai_files_endpoints.files_endpoints import ( - set_files_config, -) +from litellm.proxy.openai_files_endpoints.files_endpoints import set_files_config from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( passthrough_endpoint_router, ) @@ -580,7 +576,7 @@ async def _initialize_shared_aiohttp_session(): ttl_dns_cache=AIOHTTP_TTL_DNS_CACHE, enable_cleanup_closed=True, ) - + session = ClientSession(connector=connector) verbose_proxy_logger.info( f"SESSION REUSE: Created shared aiohttp session for connection pooling (ID: {id(session)})" @@ -723,7 +719,7 @@ async def proxy_startup_event(app: FastAPI): verbose_proxy_logger.info("SESSION REUSE: Closed shared aiohttp session") except Exception as e: verbose_proxy_logger.error(f"Error closing shared aiohttp session: {e}") - + await proxy_shutdown_event() @@ -995,13 +991,16 @@ experimental = False llm_router: Optional[Router] = None llm_model_list: Optional[list] = None general_settings: dict = {} +config_passthrough_endpoints: Optional[List[Dict[str, Any]]] = None callback_settings: dict = {} log_file = "api_log.json" worker_config = None master_key: Optional[str] = None otel_logging = False prisma_client: Optional[PrismaClient] = None -shared_aiohttp_session: Optional["ClientSession"] = None # Global shared session for connection reuse +shared_aiohttp_session: Optional["ClientSession"] = ( + None # Global shared session for connection reuse +) user_api_key_cache = DualCache( default_in_memory_ttl=UserAPIKeyCacheTTLEnum.in_memory_cache_ttl.value ) @@ -1385,31 +1384,33 @@ async def update_cache( # noqa: PLR0915 """ if tags is None or response_cost is None: return - + try: for tag_name in tags: if not tag_name or not isinstance(tag_name, str): continue - + cache_key = f"tag:{tag_name}" # Fetch the existing tag object from cache - existing_tag_obj = await user_api_key_cache.async_get_cache(key=cache_key) + existing_tag_obj = await user_api_key_cache.async_get_cache( + key=cache_key + ) if existing_tag_obj is None: # do nothing if tag not in api key cache continue - + verbose_proxy_logger.debug( f"_update_tag_cache: existing spend for tag={tag_name}: {existing_tag_obj}; response_cost: {response_cost}" ) - + if isinstance(existing_tag_obj, dict): existing_spend = existing_tag_obj.get("spend", 0) or 0 else: existing_spend = getattr(existing_tag_obj, "spend", 0) or 0 - + # Calculate the new cost by adding the existing cost and response_cost new_spend = existing_spend + response_cost - + # Update the spend column for the given tag if isinstance(existing_tag_obj, dict): existing_tag_obj["spend"] = new_spend @@ -1482,6 +1483,7 @@ async def _run_background_health_check(): from litellm.proxy.health_check_utils.shared_health_check_manager import ( SharedHealthCheckManager, ) + shared_health_manager = SharedHealthCheckManager( redis_cache=redis_usage_cache, health_check_ttl=DEFAULT_SHARED_HEALTH_CHECK_TTL, @@ -1502,16 +1504,21 @@ async def _run_background_health_check(): # Use shared health check if available, otherwise fall back to direct health check # Convert health_check_details to bool for perform_shared_health_check (defaults to True if None) - details_bool = health_check_details if health_check_details is not None else True - + details_bool = ( + health_check_details if health_check_details is not None else True + ) + if shared_health_manager is not None: try: - healthy_endpoints, unhealthy_endpoints = await shared_health_manager.perform_shared_health_check( - model_list=_llm_model_list, details=details_bool + healthy_endpoints, unhealthy_endpoints = ( + await shared_health_manager.perform_shared_health_check( + model_list=_llm_model_list, details=details_bool + ) ) except Exception as e: verbose_proxy_logger.error( - "Error in shared health check, falling back to direct health check: %s", str(e) + "Error in shared health check, falling back to direct health check: %s", + str(e), ) healthy_endpoints, unhealthy_endpoints = await perform_health_check( model_list=_llm_model_list, details=health_check_details @@ -1879,7 +1886,7 @@ class ProxyConfig: """ Load config values into proxy global state """ - global master_key, user_config_file_path, otel_logging, user_custom_auth, user_custom_auth_path, user_custom_key_generate, user_custom_sso, user_custom_ui_sso_sign_in_handler, use_background_health_checks, use_shared_health_check, health_check_interval, use_queue, proxy_budget_rescheduler_max_time, proxy_budget_rescheduler_min_time, ui_access_mode, litellm_master_key_hash, proxy_batch_write_at, disable_spend_logs, prompt_injection_detection_obj, redis_usage_cache, store_model_in_db, premium_user, open_telemetry_logger, health_check_details, callback_settings, proxy_batch_polling_interval + global master_key, user_config_file_path, otel_logging, user_custom_auth, user_custom_auth_path, user_custom_key_generate, user_custom_sso, user_custom_ui_sso_sign_in_handler, use_background_health_checks, use_shared_health_check, health_check_interval, use_queue, proxy_budget_rescheduler_max_time, proxy_budget_rescheduler_min_time, ui_access_mode, litellm_master_key_hash, proxy_batch_write_at, disable_spend_logs, prompt_injection_detection_obj, redis_usage_cache, store_model_in_db, premium_user, open_telemetry_logger, health_check_details, callback_settings, proxy_batch_polling_interval, config_passthrough_endpoints config: dict = await self.get_config(config_file_path=config_file_path) @@ -2234,9 +2241,13 @@ class ProxyConfig: ## pass through endpoints if general_settings.get("pass_through_endpoints", None) is not None: + config_passthrough_endpoints = general_settings[ + "pass_through_endpoints" + ] await initialize_pass_through_endpoints( pass_through_endpoints=general_settings["pass_through_endpoints"] ) + ## ADMIN UI ACCESS ## ui_access_mode = general_settings.get( "ui_access_mode", "all" @@ -3055,7 +3066,9 @@ class ProxyConfig: return current_config # For dictionary values, update only non-none values - if isinstance(current_config[param_name], dict) and isinstance(db_param_value, dict): + if isinstance(current_config[param_name], dict) and isinstance( + db_param_value, dict + ): _deep_merge_dicts(current_config[param_name], db_param_value) else: # Non-dict or mismatched types: DB value replaces config (unchanged behavior) diff --git a/litellm/responses/litellm_completion_transformation/handler.py b/litellm/responses/litellm_completion_transformation/handler.py index 9317bf26178..7e0b4cfa243 100644 --- a/litellm/responses/litellm_completion_transformation/handler.py +++ b/litellm/responses/litellm_completion_transformation/handler.py @@ -58,7 +58,7 @@ class LiteLLMCompletionTransformationHandler: responses_api_request=responses_api_request, **kwargs, ) - + completion_args = {} completion_args.update(kwargs) completion_args.update(litellm_completion_request) @@ -83,6 +83,7 @@ class LiteLLMCompletionTransformationHandler: elif isinstance(litellm_completion_response, litellm.CustomStreamWrapper): return LiteLLMCompletionStreamingIterator( + model=model, litellm_custom_stream_wrapper=litellm_completion_response, request_input=input, responses_api_request=responses_api_request, @@ -106,7 +107,7 @@ class LiteLLMCompletionTransformationHandler: previous_response_id=previous_response_id, litellm_completion_request=litellm_completion_request, ) - + acompletion_args = {} acompletion_args.update(kwargs) acompletion_args.update(litellm_completion_request) @@ -130,9 +131,12 @@ class LiteLLMCompletionTransformationHandler: elif isinstance(litellm_completion_response, litellm.CustomStreamWrapper): return LiteLLMCompletionStreamingIterator( + model=litellm_completion_request.get("model") or "", litellm_custom_stream_wrapper=litellm_completion_response, request_input=request_input, responses_api_request=responses_api_request, - custom_llm_provider=litellm_completion_request.get("custom_llm_provider"), + custom_llm_provider=litellm_completion_request.get( + "custom_llm_provider" + ), litellm_metadata=kwargs.get("litellm_metadata", {}), ) diff --git a/litellm/responses/litellm_completion_transformation/streaming_iterator.py b/litellm/responses/litellm_completion_transformation/streaming_iterator.py index 20822b3628e..a4fb2d96032 100644 --- a/litellm/responses/litellm_completion_transformation/streaming_iterator.py +++ b/litellm/responses/litellm_completion_transformation/streaming_iterator.py @@ -1,4 +1,6 @@ -from typing import List, Optional, Union +import time +import uuid +from typing import List, Optional, Union, cast import litellm from litellm.main import stream_chunk_builder @@ -8,11 +10,23 @@ from litellm.responses.litellm_completion_transformation.transformation import ( from litellm.responses.streaming_iterator import ResponsesAPIStreamingIterator from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.llms.openai import ( + PART_UNION_TYPES, + BaseLiteLLMOpenAIResponseObject, + ContentPartAddedEvent, + ContentPartDoneEvent, + ContentPartDonePartOutputText, + ContentPartDonePartReasoningText, + OutputItemAddedEvent, + OutputItemDoneEvent, OutputTextDeltaEvent, + OutputTextDoneEvent, ReasoningSummaryTextDeltaEvent, ResponseCompletedEvent, + ResponseCreatedEvent, + ResponseInProgressEvent, ResponseInputParam, ResponsesAPIOptionalRequestParams, + ResponsesAPIResponse, ResponsesAPIStreamEvents, ResponsesAPIStreamingResponse, ) @@ -32,12 +46,14 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): def __init__( self, + model: str, litellm_custom_stream_wrapper: litellm.CustomStreamWrapper, request_input: Union[str, ResponseInputParam], responses_api_request: ResponsesAPIOptionalRequestParams, custom_llm_provider: Optional[str] = None, litellm_metadata: Optional[dict] = None, ): + self.model: str = model self.litellm_custom_stream_wrapper: litellm.CustomStreamWrapper = ( litellm_custom_stream_wrapper ) @@ -50,14 +66,274 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): self.collected_chat_completion_chunks: List[ModelResponseStream] = [] self.finished: bool = False self.litellm_logging_obj = litellm_custom_stream_wrapper.logging_obj + self.sent_response_created_event: bool = False + self.sent_response_in_progress_event: bool = False + self.sent_output_item_added_event: bool = False + self.sent_content_part_added_event: bool = False + self.sent_output_text_done_event: bool = False + self.sent_output_content_part_done_event: bool = False + self.sent_output_item_done_event: bool = False + self.litellm_model_response: Optional[ + Union[ModelResponse, TextCompletionResponse] + ] = None + self.final_text: str = "" + + def _default_response_created_event_data(self) -> dict: + response_created_event_data = { + "id": f"resp_{str(uuid.uuid4())}", + "object": "response", + "created_at": int(time.time()), + "status": "in_progress", + "error": None, + "incomplete_details": None, + "instructions": self.request_input, + "max_output_tokens": None, + "model": self.model, + "output": [], + "parallel_tool_calls": True, + "previous_response_id": None, + "reasoning": {"effort": None, "summary": None}, + "store": True, + } + if "temperature" in self.responses_api_request: + response_created_event_data["temperature"] = self.responses_api_request[ + "temperature" + ] + if "text" in self.responses_api_request: + response_created_event_data["text"] = self.responses_api_request["text"] + if "tool_choice" in self.responses_api_request: + response_created_event_data["tool_choice"] = self.responses_api_request[ + "tool_choice" + ] + else: + response_created_event_data["tool_choice"] = "auto" + if "tools" in self.responses_api_request: + response_created_event_data["tools"] = self.responses_api_request["tools"] + else: + response_created_event_data["tools"] = [] + if "top_p" in self.responses_api_request: + response_created_event_data["top_p"] = self.responses_api_request["top_p"] + else: + response_created_event_data["top_p"] = 1.0 + if "truncation" in self.responses_api_request: + response_created_event_data["truncation"] = self.responses_api_request[ + "truncation" + ] + if "user" in self.responses_api_request: + response_created_event_data["user"] = self.responses_api_request["user"] + if "metadata" in self.responses_api_request: + response_created_event_data["metadata"] = self.responses_api_request[ + "metadata" + ] + return response_created_event_data + + def create_response_created_event(self) -> ResponseCreatedEvent: + """ + data: {"type":"response.created","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-4.1-2025-04-14","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}} + + """ + response_created_event_data = self._default_response_created_event_data() + return ResponseCreatedEvent( + type=ResponsesAPIStreamEvents.RESPONSE_CREATED, + response=ResponsesAPIResponse(**response_created_event_data), + ) + + def create_response_in_progress_event(self) -> ResponseInProgressEvent: + response_in_progress_event_data = self._default_response_created_event_data() + response_in_progress_event_data["status"] = "in_progress" + return ResponseInProgressEvent( + type=ResponsesAPIStreamEvents.RESPONSE_IN_PROGRESS, + response=ResponsesAPIResponse(**response_in_progress_event_data), + ) + + def create_output_item_added_event(self) -> OutputItemAddedEvent: + return OutputItemAddedEvent( + type=ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED, + output_index=0, + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": f"msg_{str(uuid.uuid4())}", + "type": "message", + "status": "in_progress", + "role": "assistant", + "content": [], + } + ), + ) + + def create_content_part_added_event(self) -> ContentPartAddedEvent: + return ContentPartAddedEvent( + type=ResponsesAPIStreamEvents.CONTENT_PART_ADDED, + item_id=f"msg_{str(uuid.uuid4())}", + output_index=0, + content_index=0, + part=BaseLiteLLMOpenAIResponseObject( + **{"type": "output_text", "text": "", "annotations": []} + ), + ) + + def create_litellm_model_response( + self, + ) -> Optional[ModelResponse]: + return cast( + Optional[ModelResponse], + stream_chunk_builder( + chunks=self.collected_chat_completion_chunks, + logging_obj=self.litellm_logging_obj, + ), + ) + + def create_output_text_done_event( + self, litellm_complete_object: ModelResponse + ) -> OutputTextDoneEvent: + return OutputTextDoneEvent( + type=ResponsesAPIStreamEvents.OUTPUT_TEXT_DONE, + item_id=f"msg_{str(uuid.uuid4())}", + output_index=0, + content_index=0, + text=getattr(litellm_complete_object.choices[0].message, "content", "") # type: ignore + or "", + ) + + def create_output_content_part_done_event( + self, litellm_complete_object: ModelResponse + ) -> ContentPartDoneEvent: + + text = getattr(litellm_complete_object.choices[0].message, "content", "") or "" # type: ignore + reasoning_content = getattr(litellm_complete_object.choices[0].message, "reasoning_content", "") or "" # type: ignore + + part: Optional[PART_UNION_TYPES] = None + if reasoning_content: + part = ContentPartDonePartReasoningText( + type="reasoning_text", + reasoning=reasoning_content, + ) + + else: + part = ContentPartDonePartOutputText( + type="output_text", + text=text, + annotations=[], + logprobs=None, + ) + + return ContentPartDoneEvent( + type=ResponsesAPIStreamEvents.CONTENT_PART_DONE, + item_id=f"msg_{str(uuid.uuid4())}", + output_index=0, + content_index=0, + part=part, + ) + + def create_output_item_done_event( + self, litellm_complete_object: ModelResponse + ) -> OutputItemDoneEvent: + text = self.litellm_model_response.choices[0].message.content or "" # type: ignore + return OutputItemDoneEvent( + type=ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, + output_index=0, + sequence_number=1, + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": f"msg_{str(uuid.uuid4())}", + "status": "completed", + "type": "message", + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": text, + "annotations": [], + } + ], + } + ), + ) + + def return_default_done_events( + self, litellm_complete_object: ModelResponse + ) -> Optional[BaseLiteLLMOpenAIResponseObject]: + if self.sent_output_text_done_event is False: + self.sent_output_text_done_event = True + return self.create_output_text_done_event(litellm_complete_object) + if self.sent_output_content_part_done_event is False: + self.sent_output_content_part_done_event = True + return self.create_output_content_part_done_event(litellm_complete_object) + if self.sent_output_item_done_event is False: + self.sent_output_item_done_event = True + return self.create_output_item_done_event(litellm_complete_object) + return None + + def return_default_initial_events( + self, + ) -> Optional[BaseLiteLLMOpenAIResponseObject]: + if self.sent_response_created_event is False: + self.sent_response_created_event = True + return self.create_response_created_event() + elif self.sent_response_in_progress_event is False: + self.sent_response_in_progress_event = True + return self.create_response_in_progress_event() + elif self.sent_output_item_added_event is False: + self.sent_output_item_added_event = True + return self.create_output_item_added_event() + elif self.sent_content_part_added_event is False: + self.sent_content_part_added_event = True + return self.create_content_part_added_event() + return None + + def is_stream_finished(self) -> bool: + if ( + self.sent_output_text_done_event is True + and self.sent_output_content_part_done_event is True + and self.sent_output_item_done_event is True + ): + return True + return False + + def common_done_event_logic( + self, sync_mode: bool = True + ) -> BaseLiteLLMOpenAIResponseObject: + if not self.litellm_model_response or isinstance( + self.litellm_model_response, TextCompletionResponse + ): + self.litellm_model_response = self.create_litellm_model_response() + if self.litellm_model_response: + done_event = self.return_default_done_events(self.litellm_model_response) + if done_event: + return done_event + else: + if sync_mode: + raise StopIteration + else: + raise StopAsyncIteration + + self.finished = self.is_stream_finished() + response_completed_event = self._emit_response_completed_event( + self.litellm_model_response + ) + if response_completed_event: + return response_completed_event + else: + if sync_mode: + raise StopIteration + else: + raise StopAsyncIteration async def __anext__( self, - ) -> Union[ResponsesAPIStreamingResponse, ResponseCompletedEvent]: + ) -> Union[ + ResponsesAPIStreamingResponse, + ResponseCompletedEvent, + BaseLiteLLMOpenAIResponseObject, + ]: try: while True: if self.finished is True: raise StopAsyncIteration + + result = self.return_default_initial_events() + if result: + return result # Get the next chunk from the stream try: chunk = await self.litellm_custom_stream_wrapper.__anext__() @@ -70,12 +346,7 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): if response_api_chunk: return response_api_chunk except StopAsyncIteration: - self.finished = True - response_completed_event = self._emit_response_completed_event() - if response_completed_event: - return response_completed_event - else: - raise StopAsyncIteration + return self.common_done_event_logic(sync_mode=False) except Exception as e: # Handle HTTP errors @@ -87,12 +358,20 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): def __next__( self, - ) -> Union[ResponsesAPIStreamingResponse, ResponseCompletedEvent]: + ) -> Union[ + ResponsesAPIStreamingResponse, + ResponseCompletedEvent, + BaseLiteLLMOpenAIResponseObject, + ]: try: while True: if self.finished is True: raise StopIteration # Get the next chunk from the stream + + result = self.return_default_initial_events() + if result: + return result try: chunk = self.litellm_custom_stream_wrapper.__next__() self.collected_chat_completion_chunks.append(chunk) @@ -104,13 +383,7 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): if response_api_chunk: return response_api_chunk except StopIteration: - self.finished = True - response_completed_event = self._emit_response_completed_event() - if response_completed_event: - return response_completed_event - else: - raise StopIteration - + return self.common_done_event_logic(sync_mode=True) except Exception as e: # Handle HTTP errors self.finished = True @@ -165,26 +438,33 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator): chat_completion_delta: ChatCompletionDelta = choice.delta return chat_completion_delta.content or "" - def _emit_response_completed_event(self) -> Optional[ResponseCompletedEvent]: - litellm_model_response: Optional[ - Union[ModelResponse, TextCompletionResponse] - ] = stream_chunk_builder(chunks=self.collected_chat_completion_chunks, logging_obj=self.litellm_logging_obj) - if litellm_model_response and isinstance(litellm_model_response, ModelResponse): + def _emit_response_completed_event( + self, litellm_model_response: ModelResponse + ) -> Optional[ResponseCompletedEvent]: + + if litellm_model_response: # Add cost to usage object if include_cost_in_streaming_usage is True - if litellm.include_cost_in_streaming_usage and self.litellm_logging_obj is not None: + if ( + litellm.include_cost_in_streaming_usage + and self.litellm_logging_obj is not None + ): usage = getattr(litellm_model_response, "usage", None) if usage is not None: setattr( - usage, "cost", self.litellm_logging_obj._response_cost_calculator(result=litellm_model_response) + usage, + "cost", + self.litellm_logging_obj._response_cost_calculator( + result=litellm_model_response + ), ) - + # Transform the response responses_api_response = LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response( request_input=self.request_input, chat_completion_response=litellm_model_response, responses_api_request=self.responses_api_request, ) - + # Encode the response ID to match non-streaming behavior encoded_response = ResponsesAPIRequestUtils._update_responses_api_response_id_with_model_id( responses_api_response=responses_api_response, diff --git a/litellm/responses/mcp/mcp_streaming_iterator.py b/litellm/responses/mcp/mcp_streaming_iterator.py index 7d53452c1c0..8801e561915 100644 --- a/litellm/responses/mcp/mcp_streaming_iterator.py +++ b/litellm/responses/mcp/mcp_streaming_iterator.py @@ -1,19 +1,10 @@ -from litellm._uuid import uuid -from typing import ( - TYPE_CHECKING, - Any, - Dict, - List, - Optional, - Union, - cast, -) +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, cast from litellm._logging import verbose_logger -from litellm.responses.streaming_iterator import ( - BaseResponsesAPIStreamingIterator, -) +from litellm._uuid import uuid +from litellm.responses.streaming_iterator import BaseResponsesAPIStreamingIterator from litellm.types.llms.openai import ( + BaseLiteLLMOpenAIResponseObject, MCPCallArgumentsDeltaEvent, MCPCallArgumentsDoneEvent, MCPCallCompletedEvent, @@ -38,22 +29,24 @@ async def create_mcp_list_tools_events( mcp_tools_with_litellm_proxy: List[ToolParam], user_api_key_auth: Any, base_item_id: str, - pre_processed_mcp_tools: List[Any] + pre_processed_mcp_tools: List[Any], ) -> List[ResponsesAPIStreamingResponse]: """Create MCP discovery events using pre-processed tools from the parent""" - + events: List[ResponsesAPIStreamingResponse] = [] - + try: # Extract MCP server names mcp_servers = [] for tool in mcp_tools_with_litellm_proxy: if isinstance(tool, dict) and "server_url" in tool: server_url = tool.get("server_url") - if isinstance(server_url, str) and server_url.startswith("litellm_proxy/mcp/"): + if isinstance(server_url, str) and server_url.startswith( + "litellm_proxy/mcp/" + ): server_name = server_url.split("/")[-1] mcp_servers.append(server_name) - + # Emit list tools in progress event in_progress_event = MCPListToolsInProgressEvent( type=ResponsesAPIStreamEvents.MCP_LIST_TOOLS_IN_PROGRESS, @@ -62,21 +55,21 @@ async def create_mcp_list_tools_events( item_id=base_item_id, ) events.append(in_progress_event) - + # Use the pre-processed MCP tools that were already fetched, filtered, and deduplicated by the parent filtered_mcp_tools = pre_processed_mcp_tools - + # Convert tools to dict format for the event mcp_tools_dict = [] for tool in filtered_mcp_tools: - if hasattr(tool, 'model_dump') and callable(getattr(tool, 'model_dump')): + if hasattr(tool, "model_dump") and callable(getattr(tool, "model_dump")): # Type cast to help mypy understand this is safe after hasattr check mcp_tools_dict.append(cast(Any, tool).model_dump()) - elif hasattr(tool, '__dict__'): + elif hasattr(tool, "__dict__"): mcp_tools_dict.append(tool.__dict__) else: - mcp_tools_dict.append({"name": getattr(tool, 'name', str(tool))}) - + mcp_tools_dict.append({"name": getattr(tool, "name", str(tool))}) + # Emit list tools completed event completed_event = MCPListToolsCompletedEvent( type=ResponsesAPIStreamEvents.MCP_LIST_TOOLS_COMPLETED, @@ -85,7 +78,7 @@ async def create_mcp_list_tools_events( item_id=base_item_id, ) events.append(completed_event) - + # Add output_item.done event with the actual tools list (matching OpenAI format) from litellm.types.llms.openai import OutputItemDoneEvent @@ -95,45 +88,50 @@ async def create_mcp_list_tools_events( first_tool = mcp_tools_with_litellm_proxy[0] if isinstance(first_tool, dict): server_label_value = first_tool.get("server_label", "") - server_label = str(server_label_value) if server_label_value is not None else "" - + server_label = ( + str(server_label_value) if server_label_value is not None else "" + ) + # Format tools for OpenAI output_item.done format formatted_tools = [] for tool in filtered_mcp_tools: tool_dict = { - "name": getattr(tool, 'name', 'unknown'), - "description": getattr(tool, 'description', ''), + "name": getattr(tool, "name", "unknown"), + "description": getattr(tool, "description", ""), "annotations": {"read_only": False}, } - + # Add input_schema if available - if hasattr(tool, 'inputSchema'): - tool_dict["input_schema"] = getattr(tool, 'inputSchema') - elif hasattr(tool, 'input_schema'): - tool_dict["input_schema"] = getattr(tool, 'input_schema') - + if hasattr(tool, "inputSchema"): + tool_dict["input_schema"] = getattr(tool, "inputSchema") + elif hasattr(tool, "input_schema"): + tool_dict["input_schema"] = getattr(tool, "input_schema") + formatted_tools.append(tool_dict) - + # Create the output_item.done event with MCP tools list output_item_done_event = OutputItemDoneEvent( type=ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, output_index=0, - item={ - "id": base_item_id, - "type": "mcp_list_tools", - "server_label": server_label, - "tools": formatted_tools - } + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": base_item_id, + "type": "mcp_list_tools", + "server_label": server_label, + "tools": formatted_tools, + } + ), ) events.append(output_item_done_event) - + verbose_logger.debug(f"Created {len(events)} MCP discovery events") - + except Exception as e: verbose_logger.error(f"Error creating MCP list tools events: {e}") import traceback + traceback.print_exc() - + # Emit failed event on error failed_event = MCPListToolsFailedEvent( type=ResponsesAPIStreamEvents.MCP_LIST_TOOLS_FAILED, @@ -142,37 +140,39 @@ async def create_mcp_list_tools_events( item_id=base_item_id, ) events.append(failed_event) - + # Still emit output_item.done event even on failure (with empty tools list) from litellm.types.llms.openai import OutputItemDoneEvent - + output_item_done_event = OutputItemDoneEvent( type=ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, output_index=0, - item={ - "id": base_item_id, - "type": "mcp_list_tools", - "server_label": "", - "tools": [] - } + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": base_item_id, + "type": "mcp_list_tools", + "server_label": "", + "tools": [], + } + ), ) events.append(output_item_done_event) - + return events def create_mcp_call_events( - tool_name: str, - tool_call_id: str, + tool_name: str, + tool_call_id: str, arguments: str, result: Optional[str] = None, base_item_id: Optional[str] = None, - sequence_start: int = 1 + sequence_start: int = 1, ) -> List[ResponsesAPIStreamingResponse]: """Create MCP call events following OpenAI's specification""" events: List[ResponsesAPIStreamingResponse] = [] item_id = base_item_id or f"mcp_{uuid.uuid4().hex[:8]}" - + # MCP call in progress event in_progress_event = MCPCallInProgressEvent( type=ResponsesAPIStreamEvents.MCP_CALL_IN_PROGRESS, @@ -181,7 +181,7 @@ def create_mcp_call_events( item_id=item_id, ) events.append(in_progress_event) - + # MCP call arguments delta event (streaming the arguments) arguments_delta_event = MCPCallArgumentsDeltaEvent( type=ResponsesAPIStreamEvents.MCP_CALL_ARGUMENTS_DELTA, @@ -191,7 +191,7 @@ def create_mcp_call_events( sequence_number=sequence_start + 1, ) events.append(arguments_delta_event) - + # MCP call arguments done event arguments_done_event = MCPCallArgumentsDoneEvent( type=ResponsesAPIStreamEvents.MCP_CALL_ARGUMENTS_DONE, @@ -201,7 +201,7 @@ def create_mcp_call_events( sequence_number=sequence_start + 2, ) events.append(arguments_done_event) - + # MCP call completed event (or failed if result indicates failure) if result is not None: completed_event = MCPCallCompletedEvent( @@ -211,23 +211,25 @@ def create_mcp_call_events( output_index=0, ) events.append(completed_event) - + # Add output_item.done event with the tool call result from litellm.types.llms.openai import OutputItemDoneEvent - + output_item_done_event = OutputItemDoneEvent( type=ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, output_index=0, - item={ - "id": item_id, - "type": "mcp_call", - "approval_request_id": f"mcpr_{uuid.uuid4().hex[:8]}", - "arguments": arguments, - "error": None, - "name": tool_name, - "output": result, - "server_label": "litellm" - }, + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": item_id, + "type": "mcp_call", + "approval_request_id": f"mcpr_{uuid.uuid4().hex[:8]}", + "arguments": arguments, + "error": None, + "name": tool_name, + "output": result, + "server_label": "litellm", + } + ), ) events.append(output_item_done_event) else: @@ -238,7 +240,7 @@ def create_mcp_call_events( output_index=0, ) events.append(failed_event) - + return events @@ -250,51 +252,60 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): 3. Handles tool execution and follow-up calls for auto-execute tools 4. Emits tool execution events in the stream """ - + def __init__( self, base_iterator: Any, # Can be None - will be created internally mcp_events: List[ResponsesAPIStreamingResponse], mcp_tools_with_litellm_proxy: Optional[List[Any]] = None, user_api_key_auth: Any = None, - original_request_params: Optional[Dict[str, Any]] = None + original_request_params: Optional[Dict[str, Any]] = None, ): # MCP setup self.mcp_tools_with_litellm_proxy = mcp_tools_with_litellm_proxy or [] self.user_api_key_auth = user_api_key_auth self.original_request_params = original_request_params or {} self.should_auto_execute = self._should_auto_execute_tools() - + # Streaming state management self.phase = "mcp_discovery" # mcp_discovery -> initial_response -> tool_execution -> follow_up_response -> finished self.finished = False - + # Event queues and generation flags - self.mcp_discovery_events: List[ResponsesAPIStreamingResponse] = mcp_events # Pre-generated MCP discovery events + self.mcp_discovery_events: List[ResponsesAPIStreamingResponse] = ( + mcp_events # Pre-generated MCP discovery events + ) self.tool_execution_events: List[ResponsesAPIStreamingResponse] = [] self.mcp_discovery_generated = True # Events are already generated - self.mcp_events = mcp_events # Store the initial MCP events for backward compatibility - + self.mcp_events = ( + mcp_events # Store the initial MCP events for backward compatibility + ) + # Iterator references - self.base_iterator: Optional[Union[Any, ResponsesAPIResponse]] = base_iterator # Will be created when needed + self.base_iterator: Optional[Union[Any, ResponsesAPIResponse]] = ( + base_iterator # Will be created when needed + ) self.follow_up_iterator: Optional[Any] = None - + # Response collection for tool execution self.collected_response: Optional[ResponsesAPIResponse] = None - + # Set up model metadata (will be updated when we get the real iterator) - self.model = self.original_request_params.get('model', 'unknown') + self.model = self.original_request_params.get("model", "unknown") self.litellm_metadata = {} - self.custom_llm_provider = self.original_request_params.get('custom_llm_provider', None) - + self.custom_llm_provider = self.original_request_params.get( + "custom_llm_provider", None + ) + # Mark as async iterator self.is_async = True - + def _should_auto_execute_tools(self) -> bool: """Check if tools should be auto-executed""" from litellm.responses.mcp.litellm_proxy_mcp_handler import ( LiteLLM_Proxy_MCP_Handler, ) + return LiteLLM_Proxy_MCP_Handler._should_auto_execute_tools( self.mcp_tools_with_litellm_proxy ) @@ -306,45 +317,49 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): """ Phase-based streaming: 1. mcp_discovery - Emit MCP discovery events - 2. initial_response - Stream the first LLM response + 2. initial_response - Stream the first LLM response 3. tool_execution - Emit tool execution events 4. follow_up_response - Stream the follow-up response 5. finished - End iteration """ - + # Phase 1: MCP Discovery Events if self.phase == "mcp_discovery": # Generate MCP discovery events if not already done # MCP discovery events are already generated and available - + # Emit MCP discovery events if self.mcp_discovery_events: return self.mcp_discovery_events.pop(0) - + # All MCP discovery events emitted, move to next phase - verbose_logger.debug("MCP discovery phase complete, transitioning to initial_response") + verbose_logger.debug( + "MCP discovery phase complete, transitioning to initial_response" + ) self.phase = "initial_response" await self._create_initial_response_iterator() # Fall through to process the initial response immediately - + # Phase 2: Initial Response Stream if self.phase == "initial_response": if self.base_iterator: # Check if base_iterator is actually iterable - if hasattr(self.base_iterator, '__anext__'): + if hasattr(self.base_iterator, "__anext__"): try: chunk = await cast(Any, self.base_iterator).__anext__() # type: ignore[attr-defined] - + # If auto-execution is enabled, check for completed responses - if self.should_auto_execute and self._is_response_completed(chunk): + if self.should_auto_execute and self._is_response_completed( + chunk + ): # Collect the response for tool execution - response_obj = getattr(chunk, 'response', None) + response_obj = getattr(chunk, "response", None) if isinstance(response_obj, ResponsesAPIResponse): self.collected_response = response_obj # Move to tool execution phase after emitting this chunk self.phase = "tool_execution" await self._generate_tool_execution_events() - + return chunk except StopAsyncIteration: # Initial response ended, move to next phase @@ -357,24 +372,26 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): else: # base_iterator is not async iterable (likely a ResponsesAPIResponse) # Collect it for tool execution if needed - if self.should_auto_execute and isinstance(self.base_iterator, ResponsesAPIResponse): + if self.should_auto_execute and isinstance( + self.base_iterator, ResponsesAPIResponse + ): self.collected_response = self.base_iterator self.phase = "tool_execution" await self._generate_tool_execution_events() else: self.phase = "finished" raise StopAsyncIteration - + # Phase 3: Tool Execution Events if self.phase == "tool_execution": # Emit any queued tool execution events if self.tool_execution_events: return self.tool_execution_events.pop(0) - + # Move to follow-up response phase self.phase = "follow_up_response" await self._create_follow_up_iterator() - + # Phase 4: Follow-up Response Stream if self.phase == "follow_up_response": if self.follow_up_iterator: @@ -386,20 +403,22 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): else: self.phase = "finished" raise StopAsyncIteration - + # Phase 5: Finished if self.phase == "finished": raise StopAsyncIteration - + # Should not reach here raise StopAsyncIteration - + def _is_response_completed(self, chunk: ResponsesAPIStreamingResponse) -> bool: """Check if this chunk indicates the response is completed""" from litellm.types.llms.openai import ResponsesAPIStreamEvents - return getattr(chunk, 'type', None) == ResponsesAPIStreamEvents.RESPONSE_COMPLETED - - + + return ( + getattr(chunk, "type", None) == ResponsesAPIStreamEvents.RESPONSE_COMPLETED + ) + async def _create_initial_response_iterator(self) -> None: """Create the initial response iterator by making the first LLM call""" try: @@ -408,38 +427,45 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): # Make the initial response API call - but avoid the MCP wrapper params = self.original_request_params.copy() - params['stream'] = True # Ensure streaming - + params["stream"] = True # Ensure streaming + # Use the pre-fetched all_tools from original_request_params (no re-processing needed) params_for_llm = {} for key, value in params.items(): - params_for_llm[key] = value # Copy all params as-is since tools are already processed - - tools_count = len(params_for_llm.get('tools', [])) + params_for_llm[key] = ( + value # Copy all params as-is since tools are already processed + ) + + tools_count = len(params_for_llm.get("tools", [])) verbose_logger.debug(f"Making LLM call with {tools_count} tools") response = await aresponses(**params_for_llm) - + # Set the base iterator - if hasattr(response, '__aiter__') or hasattr(response, '__iter__'): + if hasattr(response, "__aiter__") or hasattr(response, "__iter__"): self.base_iterator = response # Copy metadata from the real iterator - self.model = getattr(response, 'model', self.model) - self.litellm_metadata = getattr(response, 'litellm_metadata', {}) - self.custom_llm_provider = getattr(response, 'custom_llm_provider', self.custom_llm_provider) - verbose_logger.debug(f"Created base iterator: {type(self.base_iterator)}") + self.model = getattr(response, "model", self.model) + self.litellm_metadata = getattr(response, "litellm_metadata", {}) + self.custom_llm_provider = getattr( + response, "custom_llm_provider", self.custom_llm_provider + ) + verbose_logger.debug( + f"Created base iterator: {type(self.base_iterator)}" + ) else: # Non-streaming response - this shouldn't happen but handle it verbose_logger.warning(f"Got non-streaming response: {type(response)}") self.base_iterator = None self.phase = "finished" - + except Exception as e: verbose_logger.error(f"Error creating initial response iterator: {e}") import traceback + traceback.print_exc() self.base_iterator = None self.phase = "finished" - + async def _generate_tool_execution_events(self) -> None: """Generate tool execution events and execute tools""" if not self.collected_response: @@ -447,7 +473,7 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): from litellm.responses.mcp.litellm_proxy_mcp_handler import ( LiteLLM_Proxy_MCP_Handler, ) - + try: # Extract tool calls from the response if self.collected_response is not None: @@ -456,9 +482,11 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): tool_calls = [] if not tool_calls: return - + for tool_call in tool_calls: - tool_name, tool_arguments, tool_call_id = LiteLLM_Proxy_MCP_Handler._extract_tool_call_details(tool_call) + tool_name, tool_arguments, tool_call_id = ( + LiteLLM_Proxy_MCP_Handler._extract_tool_call_details(tool_call) + ) if tool_name and tool_call_id: # Create MCP call events for this tool execution call_events = create_mcp_call_events( @@ -467,34 +495,35 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): arguments=tool_arguments or "{}", # JSON string with arguments result=None, # Will be set after execution base_item_id=f"mcp_{uuid.uuid4().hex[:8]}", - sequence_start=len(self.tool_execution_events) + 1 + sequence_start=len(self.tool_execution_events) + 1, ) # Add the in_progress and arguments events (not the completed event yet) self.tool_execution_events.extend(call_events[:-1]) - + # Execute the tools tool_results = await LiteLLM_Proxy_MCP_Handler._execute_tool_calls( - tool_calls=tool_calls, - user_api_key_auth=self.user_api_key_auth + tool_calls=tool_calls, user_api_key_auth=self.user_api_key_auth ) - + # Create completion events and output_item.done events for tool execution for tool_result in tool_results: tool_call_id = tool_result.get("tool_call_id", "unknown") result_text = tool_result.get("result", "") - + # Find matching tool name and arguments tool_name = "unknown" tool_arguments = "{}" for tool_call in tool_calls: - name, args, call_id = LiteLLM_Proxy_MCP_Handler._extract_tool_call_details(tool_call) + name, args, call_id = ( + LiteLLM_Proxy_MCP_Handler._extract_tool_call_details(tool_call) + ) if call_id == tool_call_id: tool_name = name or "unknown" tool_arguments = args or "{}" break - + item_id = f"mcp_{uuid.uuid4().hex[:8]}" - + # Create the completion event completed_event = MCPCallCompletedEvent( type=ResponsesAPIStreamEvents.MCP_CALL_COMPLETED, @@ -503,79 +532,84 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): output_index=0, ) self.tool_execution_events.append(completed_event) - + # Create output_item.done event with the tool call result from litellm.types.llms.openai import OutputItemDoneEvent - + output_item_done_event = OutputItemDoneEvent( type=ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, output_index=0, - item={ - "id": item_id, - "type": "mcp_call", - "approval_request_id": f"mcpr_{uuid.uuid4().hex[:8]}", - "arguments": tool_arguments, - "error": None, - "name": tool_name, - "output": result_text, - "server_label": "litellm" # or extract from tool config - }, + item=BaseLiteLLMOpenAIResponseObject( + **{ + "id": item_id, + "type": "mcp_call", + "approval_request_id": f"mcpr_{uuid.uuid4().hex[:8]}", + "arguments": tool_arguments, + "error": None, + "name": tool_name, + "output": result_text, + "server_label": "litellm", # or extract from tool config + } + ), ) self.tool_execution_events.append(output_item_done_event) - + # Store tool results for follow-up call self.tool_results = tool_results - + except Exception as e: verbose_logger.error(f"Error in tool execution: {e}") import traceback + traceback.print_exc() self.tool_results = [] - + async def _create_follow_up_iterator(self) -> None: """Create the follow-up response iterator with tool results""" - if not self.collected_response or not hasattr(self, 'tool_results'): + if not self.collected_response or not hasattr(self, "tool_results"): return - + from litellm.responses.main import aresponses from litellm.responses.mcp.litellm_proxy_mcp_handler import ( LiteLLM_Proxy_MCP_Handler, ) - + try: # Create follow-up input if self.collected_response is not None: follow_up_input = LiteLLM_Proxy_MCP_Handler._create_follow_up_input( response=self.collected_response, # type: ignore[arg-type] tool_results=self.tool_results, - original_input=self.original_request_params.get('input') + original_input=self.original_request_params.get("input"), ) - + # Make follow-up call with streaming follow_up_params = self.original_request_params.copy() - follow_up_params.update({ - 'input': follow_up_input, - 'previous_response_id': self.collected_response.id, # type: ignore[attr-defined] - 'stream': True - }) + follow_up_params.update( + { + "input": follow_up_input, + "previous_response_id": self.collected_response.id, # type: ignore[attr-defined] + "stream": True, + } + ) else: return # Remove tool_choice to avoid forcing more tool calls - follow_up_params.pop('tool_choice', None) - + follow_up_params.pop("tool_choice", None) + follow_up_response = await aresponses(**follow_up_params) - + # Set up the follow-up iterator - if hasattr(follow_up_response, '__aiter__'): + if hasattr(follow_up_response, "__aiter__"): self.follow_up_iterator = follow_up_response - + except Exception as e: verbose_logger.error(f"Error creating follow-up iterator: {e}") import traceback + traceback.print_exc() self.follow_up_iterator = None - def __iter__(self): return self @@ -583,11 +617,11 @@ class MCPEnhancedStreamingIterator(BaseResponsesAPIStreamingIterator): # First, emit any queued MCP events if self.mcp_events: # type: ignore[attr-defined] return self.mcp_events.pop(0) # type: ignore[attr-defined] - + # Then delegate to the base iterator if not self.is_async: try: - if self.base_iterator and hasattr(self.base_iterator, '__next__'): + if self.base_iterator and hasattr(self.base_iterator, "__next__"): return next(cast(Any, self.base_iterator)) # type: ignore[arg-type] else: raise StopIteration diff --git a/litellm/responses/streaming_iterator.py b/litellm/responses/streaming_iterator.py index eda3e6921da..b78913402ff 100644 --- a/litellm/responses/streaming_iterator.py +++ b/litellm/responses/streaming_iterator.py @@ -93,24 +93,35 @@ class BaseResponsesAPIStreamingIterator: # Store the completed response if ( openai_responses_api_chunk - and openai_responses_api_chunk.type + and getattr(openai_responses_api_chunk, "type", None) == ResponsesAPIStreamEvents.RESPONSE_COMPLETED ): self.completed_response = openai_responses_api_chunk # Add cost to usage object if include_cost_in_streaming_usage is True - if litellm.include_cost_in_streaming_usage and self.logging_obj is not None: - response_obj: Optional[ResponsesAPIResponse] = getattr(openai_responses_api_chunk, "response", None) + if ( + litellm.include_cost_in_streaming_usage + and self.logging_obj is not None + ): + response_obj: Optional[ResponsesAPIResponse] = getattr( + openai_responses_api_chunk, "response", None + ) if response_obj: - usage_obj: Optional[ResponseAPIUsage] = getattr(response_obj, "usage", None) + usage_obj: Optional[ResponseAPIUsage] = getattr( + response_obj, "usage", None + ) if usage_obj is not None: try: - cost: Optional[float] = self.logging_obj._response_cost_calculator(result=response_obj) + cost: Optional[float] = ( + self.logging_obj._response_cost_calculator( + result=response_obj + ) + ) if cost is not None: setattr(usage_obj, "cost", cost) except Exception: # If cost calculation fails, continue without cost pass - + self._handle_logging_completed_response() return openai_responses_api_chunk diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py index 005aec31e2e..56971b91e5d 100644 --- a/litellm/types/llms/openai.py +++ b/litellm/types/llms/openai.py @@ -43,12 +43,7 @@ from openai.types.responses.response import ( # Handle OpenAI SDK version compatibility for Text type try: - # fmt: off - from openai.types.responses.response_create_params import ( # type: ignore[attr-defined] - Text as ResponseText, # type: ignore[attr-defined] - ) - - # fmt: on + from openai.types.responses.response_create_params import ( Text as ResponseText ) # type: ignore[attr-defined] # fmt: skip # isort: skip except (ImportError, AttributeError): # Fall back to the concrete config type available in all SDK versions from openai.types.responses.response_text_config_param import ( @@ -992,7 +987,9 @@ class ResponsesAPIOptionalRequestParams(TypedDict, total=False): prompt_cache_key: Optional[str] stream_options: Optional[dict] top_logprobs: Optional[int] - partial_images: Optional[int] # Number of partial images to generate (1-3) for streaming image generation + partial_images: Optional[ + int + ] # Number of partial images to generate (1-3) for streaming image generation class ResponsesAPIRequestParams(ResponsesAPIOptionalRequestParams, total=False): @@ -1056,7 +1053,9 @@ class ResponsesAPIResponse(BaseLiteLLMOpenAIResponseObject): parallel_tool_calls: Optional[bool] = None temperature: Optional[float] = None tool_choice: Optional[ToolChoice] = None - tools: Optional[Union[List[Tool], List[ResponseFunctionToolCall], List[Dict[str, Any]]]] = None + tools: Optional[ + Union[List[Tool], List[ResponseFunctionToolCall], List[Dict[str, Any]]] + ] = None top_p: Optional[float] = None max_output_tokens: Optional[int] = None previous_response_id: Optional[str] = None @@ -1180,13 +1179,27 @@ class ReasoningSummaryTextDeltaEvent(BaseLiteLLMOpenAIResponseObject): class OutputItemAddedEvent(BaseLiteLLMOpenAIResponseObject): type: Literal[ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED] output_index: int - item: Optional[dict] + item: Optional[BaseLiteLLMOpenAIResponseObject] class OutputItemDoneEvent(BaseLiteLLMOpenAIResponseObject): type: Literal[ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE] output_index: int - item: dict + sequence_number: int = 1 + item: BaseLiteLLMOpenAIResponseObject + + +class OpenAIChatCompletionLogprobsContentTopLogprobs(TypedDict, total=False): + bytes: List + logprob: Required[float] + token: Required[str] + + +class OpenAIChatCompletionLogprobsContent(TypedDict, total=False): + bytes: List + logprob: Required[float] + token: Required[str] + top_logprobs: List[OpenAIChatCompletionLogprobsContentTopLogprobs] class ContentPartAddedEvent(BaseLiteLLMOpenAIResponseObject): @@ -1194,7 +1207,31 @@ class ContentPartAddedEvent(BaseLiteLLMOpenAIResponseObject): item_id: str output_index: int content_index: int - part: dict + part: BaseLiteLLMOpenAIResponseObject + + +class ContentPartDonePartOutputText(BaseLiteLLMOpenAIResponseObject): + type: Literal["output_text"] + text: str + annotations: List[BaseLiteLLMOpenAIResponseObject] + logprobs: Optional[List[OpenAIChatCompletionLogprobsContent]] + + +class ContentPartDonePartRefusal(BaseLiteLLMOpenAIResponseObject): + type: Literal["refusal"] + refusal: str + + +class ContentPartDonePartReasoningText(BaseLiteLLMOpenAIResponseObject): + type: Literal["reasoning_text"] + reasoning: str + + +PART_UNION_TYPES = Union[ + ContentPartDonePartOutputText, + ContentPartDonePartRefusal, + ContentPartDonePartReasoningText, +] class ContentPartDoneEvent(BaseLiteLLMOpenAIResponseObject): @@ -1202,7 +1239,7 @@ class ContentPartDoneEvent(BaseLiteLLMOpenAIResponseObject): item_id: str output_index: int content_index: int - part: dict + part: PART_UNION_TYPES class OutputTextDeltaEvent(BaseLiteLLMOpenAIResponseObject): @@ -1413,6 +1450,7 @@ ResponsesAPIStreamingResponse = Annotated[ ImageGenerationPartialImageEvent, ErrorEvent, GenericEvent, + BaseLiteLLMOpenAIResponseObject, ], Discriminator("type"), ] @@ -1731,19 +1769,6 @@ class OpenAIModerationResponse(BaseLiteLLMOpenAIResponseObject): _hidden_params: dict = PrivateAttr(default_factory=dict) -class OpenAIChatCompletionLogprobsContentTopLogprobs(TypedDict, total=False): - bytes: List - logprob: Required[float] - token: Required[str] - - -class OpenAIChatCompletionLogprobsContent(TypedDict, total=False): - bytes: List - logprob: Required[float] - token: Required[str] - top_logprobs: List[OpenAIChatCompletionLogprobsContentTopLogprobs] - - class OpenAIChatCompletionLogprobs(TypedDict, total=False): content: List[OpenAIChatCompletionLogprobsContent] refusal: List[OpenAIChatCompletionLogprobsContent] diff --git a/log.txt b/log.txt new file mode 100644 index 00000000000..a0f2afcdb18 --- /dev/null +++ b/log.txt @@ -0,0 +1,78 @@ +============================= test session starts ============================== +platform darwin -- Python 3.11.4, pytest-7.4.1, pluggy-1.2.0 +rootdir: /Users/krrishdholakia/Documents/litellm +plugins: snapshot-0.9.0, cov-5.0.0, timeout-2.2.0, postgresql-7.0.1, respx-0.21.1, asyncio-0.21.1, langsmith-0.3.4, anyio-4.8.0, mock-3.11.1, Faker-25.9.2 +asyncio: mode=Mode.STRICT +collected 1 item + +tests/llm_translation/test_gemini.py . [100%] + +=============================== warnings summary =============================== +tests/llm_translation/base_llm_unit_tests.py:481 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:481: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:523 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:523: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:601 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:601: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:641 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:641: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:650 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:650: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:694 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:694: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:745 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:745: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:783 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:783: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=6, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:859 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:859: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=4, delay=2) + +tests/llm_translation/base_llm_unit_tests.py:955 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:955: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=4, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:1073 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:1073: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=3, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:1109 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:1109: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=3, delay=1) + +tests/llm_translation/base_llm_unit_tests.py:1232 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/base_llm_unit_tests.py:1232: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=3, delay=1) + +tests/llm_translation/test_gemini.py:36 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/test_gemini.py:36: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=3, delay=2) + +tests/llm_translation/test_gemini.py:510 + /Users/krrishdholakia/Documents/litellm/tests/llm_translation/test_gemini.py:510: PytestUnknownMarkWarning: Unknown pytest.mark.flaky - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html + @pytest.mark.flaky(retries=3, delay=2) + +tests/llm_translation/test_gemini.py::test_gemini_image_generation_async + /Users/krrishdholakia/Library/Python/3.11/lib/python/site-packages/pydantic/main.py:463: UserWarning: Pydantic serializer warnings: + PydanticSerializationUnexpectedValue(Expected 10 fields but got 7: Expected `Message` - serialized value may not be as expected [input_value=Message(content="Here's t...er_specific_fields=None), input_type=Message]) + PydanticSerializationUnexpectedValue(Expected `StreamingChoices` - serialized value may not be as expected [input_value=Choices(finish_reason='st...r_specific_fields=None)), input_type=Choices]) + return self.__pydantic_serializer__.to_python( + +-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html +======================== 1 passed, 16 warnings in 5.86s ======================== diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index f8aa7e59a08..645ecb9779f 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -4841,7 +4841,7 @@ "input_cost_per_token_above_200k_tokens": 6e-06, "litellm_provider": "anthropic", "max_input_tokens": 1000000, - "max_output_tokens": 1000000, + "max_output_tokens": 64000, "max_tokens": 1000000, "mode": "chat", "output_cost_per_token": 1.5e-05, @@ -13074,34 +13074,6 @@ "supports_vision": true, "supports_web_search": true }, - "gpt-5-codex": { - "cache_read_input_token_cost": 1.25e-07, - "input_cost_per_token": 1.25e-06, - "litellm_provider": "openai", - "max_input_tokens": 400000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 1e-05, - "supported_endpoints": [ - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true - }, "gpt-5-2025-08-07": { "cache_read_input_token_cost": 1.25e-07, "cache_read_input_token_cost_flex": 6.25e-08, @@ -20228,12 +20200,12 @@ }, "us.anthropic.claude-sonnet-4-5-20250929-v1:0": { "cache_creation_input_token_cost": 4.125e-06, - "cache_read_input_token_cost": 33e-07, - "input_cost_per_token": 33e-06, - "input_cost_per_token_above_200k_tokens": 66e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "input_cost_per_token_above_200k_tokens": 6.6e-06, "output_cost_per_token_above_200k_tokens": 2.475e-05, "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06, - "cache_read_input_token_cost_above_200k_tokens": 66e-07, + "cache_read_input_token_cost_above_200k_tokens": 6.6e-07, "litellm_provider": "bedrock_converse", "max_input_tokens": 200000, "max_output_tokens": 64000, diff --git a/tests/enterprise/litellm_enterprise/proxy/guardrails/test_apply_guardrail_endpoint.py b/tests/enterprise/litellm_enterprise/proxy/guardrails/test_apply_guardrail_endpoint.py new file mode 100644 index 00000000000..819474b5929 --- /dev/null +++ b/tests/enterprise/litellm_enterprise/proxy/guardrails/test_apply_guardrail_endpoint.py @@ -0,0 +1,158 @@ +""" +Test the /guardrails/apply_guardrail endpoint +""" +import os +import sys +from unittest.mock import AsyncMock, Mock, patch + +import pytest + +sys.path.insert(0, os.path.abspath("../../../../..")) + +from fastapi import HTTPException + +from litellm.integrations.custom_guardrail import CustomGuardrail +from litellm.proxy._types import UserAPIKeyAuth +from litellm.types.guardrails import ApplyGuardrailRequest, ApplyGuardrailResponse + + +@pytest.mark.asyncio +async def test_apply_guardrail_endpoint_returns_correct_response(): + """Test that apply_guardrail endpoint returns ApplyGuardrailResponse object""" + from enterprise.litellm_enterprise.proxy.guardrails.endpoints import apply_guardrail + + # Mock the guardrail registry + with patch("enterprise.litellm_enterprise.proxy.guardrails.endpoints.GUARDRAIL_REGISTRY") as mock_registry: + # Create a mock guardrail + mock_guardrail = Mock(spec=CustomGuardrail) + mock_guardrail.apply_guardrail = AsyncMock(return_value="Redacted text: [REDACTED] and [REDACTED]") + + # Configure the registry to return our mock guardrail + mock_registry.get_initialized_guardrail_callback.return_value = mock_guardrail + + # Create the request + request = ApplyGuardrailRequest( + guardrail_name="test-guardrail", + text="Test text with PII", + language="en", + entities=["EMAIL_ADDRESS", "PERSON"] + ) + + # Create a mock user API key + user_api_key_dict = UserAPIKeyAuth(api_key="test-key") + + # Call the endpoint + response = await apply_guardrail(request=request, user_api_key_dict=user_api_key_dict) + + # Verify the response is of the correct type + assert isinstance(response, ApplyGuardrailResponse) + assert response.response_text == "Redacted text: [REDACTED] and [REDACTED]" + + # Verify the guardrail was called with correct parameters + mock_guardrail.apply_guardrail.assert_called_once_with( + text="Test text with PII", + language="en", + entities=["EMAIL_ADDRESS", "PERSON"] + ) + + +@pytest.mark.asyncio +async def test_apply_guardrail_endpoint_guardrail_not_found(): + """Test that apply_guardrail endpoint raises exception when guardrail not found""" + from enterprise.litellm_enterprise.proxy.guardrails.endpoints import apply_guardrail + + # Mock the guardrail registry to return None + with patch("enterprise.litellm_enterprise.proxy.guardrails.endpoints.GUARDRAIL_REGISTRY") as mock_registry: + mock_registry.get_initialized_guardrail_callback.return_value = None + + # Create the request + request = ApplyGuardrailRequest( + guardrail_name="non-existent-guardrail", + text="Test text", + language="en" + ) + + # Create a mock user API key + user_api_key_dict = UserAPIKeyAuth(api_key="test-key") + + # Verify exception is raised + with pytest.raises(Exception) as exc_info: + await apply_guardrail(request=request, user_api_key_dict=user_api_key_dict) + + assert "Guardrail non-existent-guardrail not found" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_apply_guardrail_endpoint_with_presidio_guardrail(): + """Test apply_guardrail endpoint with a Presidio-like guardrail""" + from enterprise.litellm_enterprise.proxy.guardrails.endpoints import apply_guardrail + + # Mock the guardrail registry + with patch("enterprise.litellm_enterprise.proxy.guardrails.endpoints.GUARDRAIL_REGISTRY") as mock_registry: + # Create a mock guardrail that simulates Presidio behavior + mock_guardrail = Mock(spec=CustomGuardrail) + # Simulate masking PII entities + mock_guardrail.apply_guardrail = AsyncMock( + return_value="My name is [PERSON] and my email is [EMAIL_ADDRESS]" + ) + + # Configure the registry to return our mock guardrail + mock_registry.get_initialized_guardrail_callback.return_value = mock_guardrail + + # Create the request + request = ApplyGuardrailRequest( + guardrail_name="pii-detection-guard", + text="My name is John Doe and my email is john@example.com", + language="en", + entities=["EMAIL_ADDRESS", "PERSON"] + ) + + # Create a mock user API key + user_api_key_dict = UserAPIKeyAuth(api_key="test-key") + + # Call the endpoint + response = await apply_guardrail(request=request, user_api_key_dict=user_api_key_dict) + + # Verify the response is of the correct type + assert isinstance(response, ApplyGuardrailResponse) + assert response.response_text == "My name is [PERSON] and my email is [EMAIL_ADDRESS]" + assert "john@example.com" not in response.response_text + assert "John Doe" not in response.response_text + + +@pytest.mark.asyncio +async def test_apply_guardrail_endpoint_without_optional_params(): + """Test apply_guardrail endpoint without optional language and entities parameters""" + from enterprise.litellm_enterprise.proxy.guardrails.endpoints import apply_guardrail + + # Mock the guardrail registry + with patch("enterprise.litellm_enterprise.proxy.guardrails.endpoints.GUARDRAIL_REGISTRY") as mock_registry: + # Create a mock guardrail + mock_guardrail = Mock(spec=CustomGuardrail) + mock_guardrail.apply_guardrail = AsyncMock(return_value="Processed text") + + # Configure the registry to return our mock guardrail + mock_registry.get_initialized_guardrail_callback.return_value = mock_guardrail + + # Create the request without optional parameters + request = ApplyGuardrailRequest( + guardrail_name="test-guardrail", + text="Test text" + ) + + # Create a mock user API key + user_api_key_dict = UserAPIKeyAuth(api_key="test-key") + + # Call the endpoint + response = await apply_guardrail(request=request, user_api_key_dict=user_api_key_dict) + + # Verify the response is of the correct type + assert isinstance(response, ApplyGuardrailResponse) + assert response.response_text == "Processed text" + + # Verify the guardrail was called with None for optional parameters + mock_guardrail.apply_guardrail.assert_called_once_with( + text="Test text", + language=None, + entities=None + ) diff --git a/tests/llm_translation/test_anthropic_completion.py b/tests/llm_translation/test_anthropic_completion.py index 4eeb80c4191..7d9ef56f164 100644 --- a/tests/llm_translation/test_anthropic_completion.py +++ b/tests/llm_translation/test_anthropic_completion.py @@ -361,6 +361,7 @@ def test_process_anthropic_headers_with_no_matching_headers(): def test_anthropic_tool_use(tool_type, tool_config, message_content): """Test Anthropic tool use with computer use and web fetch tools.""" from litellm import completion + litellm._turn_on_debug() tools = [tool_config] @@ -1518,3 +1519,126 @@ def test_anthropic_streaming(): role_set_count += 1 assert role_set_count == 1 + + +def test_anthropic_via_responses_api(): + from litellm.types.llms.openai import ResponsesAPIStreamEvents + + response = litellm.responses( + model="anthropic/claude-sonnet-4-5", + input="Who won the World Cup in 2022?", + max_output_tokens=100, + stream=True, + ) + + assert response is not None + + # Expected event sequence + expected_events = [ + ResponsesAPIStreamEvents.RESPONSE_CREATED, + ResponsesAPIStreamEvents.RESPONSE_IN_PROGRESS, + ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED, + ResponsesAPIStreamEvents.CONTENT_PART_ADDED, + ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA, # Can occur multiple times + ResponsesAPIStreamEvents.OUTPUT_TEXT_DONE, + ResponsesAPIStreamEvents.CONTENT_PART_DONE, + ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, + ResponsesAPIStreamEvents.RESPONSE_COMPLETED, + ] + + events_seen = [] + text_delta_count = 0 + + for chunk in response: + print(f"chunk: {chunk}") + + # Each chunk should have a type attribute + assert hasattr(chunk, "type"), f"Chunk missing 'type' attribute: {chunk}" + + event_type = chunk.type + + # Track events seen + if event_type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA: + text_delta_count += 1 + if ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA not in events_seen: + events_seen.append(event_type) + else: + events_seen.append(event_type) + + # Assert specific structures for each event type + if event_type == ResponsesAPIStreamEvents.RESPONSE_CREATED: + assert chunk.type == ResponsesAPIStreamEvents.RESPONSE_CREATED + assert hasattr(chunk, "response") + assert chunk.response.status == "in_progress" + assert hasattr(chunk.response, "id") + assert hasattr(chunk.response, "model") + + elif event_type == ResponsesAPIStreamEvents.RESPONSE_IN_PROGRESS: + assert chunk.type == ResponsesAPIStreamEvents.RESPONSE_IN_PROGRESS + assert hasattr(chunk, "response") + assert chunk.response.status == "in_progress" + + elif event_type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED: + assert chunk.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "item") + assert chunk.item.type == "message" + assert chunk.item.role == "assistant" + + elif event_type == ResponsesAPIStreamEvents.CONTENT_PART_ADDED: + assert chunk.type == ResponsesAPIStreamEvents.CONTENT_PART_ADDED + assert hasattr(chunk, "item_id") + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "content_index") + assert hasattr(chunk, "part") + assert chunk.part.type == "output_text" + + elif event_type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA: + assert chunk.type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA + assert hasattr(chunk, "item_id") + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "content_index") + assert hasattr(chunk, "delta") + assert isinstance(chunk.delta, str) + + elif event_type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DONE: + assert chunk.type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DONE + assert hasattr(chunk, "item_id") + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "content_index") + assert hasattr(chunk, "text") + + elif event_type == ResponsesAPIStreamEvents.CONTENT_PART_DONE: + assert chunk.type == ResponsesAPIStreamEvents.CONTENT_PART_DONE + assert hasattr(chunk, "item_id") + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "content_index") + assert hasattr(chunk, "part") + assert chunk.part.type == "output_text" + + elif event_type == ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE: + assert chunk.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE + assert hasattr(chunk, "output_index") + assert hasattr(chunk, "item") + assert chunk.item.status == "completed" + + elif event_type == ResponsesAPIStreamEvents.RESPONSE_COMPLETED: + assert chunk.type == ResponsesAPIStreamEvents.RESPONSE_COMPLETED + assert hasattr(chunk, "response") + assert chunk.response.status == "completed" + assert hasattr(chunk.response, "usage") + assert hasattr(chunk.response, "output") + + # Assert we saw all expected events + print(f"Events seen: {events_seen}") + assert ( + events_seen == expected_events + ), f"Event sequence mismatch. Expected: {expected_events}, Got: {events_seen}" + + # Assert we saw at least one text delta + assert ( + text_delta_count > 0 + ), f"Expected at least one response.output_text.delta event, got {text_delta_count}" + + print(f"✓ All {len(events_seen)} events matched expected structure") + print(f"✓ Received {text_delta_count} text delta chunks") diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py index 24fc5026d8a..a9ad297e5e2 100644 --- a/tests/llm_translation/test_gemini.py +++ b/tests/llm_translation/test_gemini.py @@ -1144,3 +1144,13 @@ def test_gemini_additional_properties_bug(): response = litellm.completion( model="gemini/gemini-2.5-flash", messages=messages, tools=tools ) + + +def test_gemini_embedding(): + litellm._turn_on_debug() + response = litellm.embedding( + model="gemini/gemini-embedding-001", + input="Hello, world!", + ) + print("response: ", response) + assert response is not None diff --git a/tests/llm_translation/test_openai.py b/tests/llm_translation/test_openai.py index eaf03777571..15bb5fec66d 100644 --- a/tests/llm_translation/test_openai.py +++ b/tests/llm_translation/test_openai.py @@ -726,3 +726,526 @@ def test_openai_safety_identifier_parameter_sync(): assert "safety_identifier" in request_body # Verify safety_identifier is correctly sent to the API assert request_body["safety_identifier"] == "user_code_123456" + + +def test_gpt_5_reasoning_streaming(): + litellm._turn_on_debug() + response = litellm.completion( + model="openai/responses/gpt-5-mini", + messages=[{"role": "user", "content": "Think of a poem, and then write it."}], + reasoning_effort="low", + stream=True, + ) + + has_reasoning_content = False + for chunk in response: + print("chunk: ", chunk) + if ( + hasattr(chunk.choices[0].delta, "reasoning_content") + and chunk.choices[0].delta.reasoning_content is not None + ): + print("reasoning_content: ", chunk.choices[0].delta.reasoning_content) + has_reasoning_content = True + + assert has_reasoning_content + + print("✓ gpt_5_reasoning_streaming correctly handled reasoning content") + + +def test_gpt_5_pro_reasoning(): + litellm._turn_on_debug() + response = litellm.completion( + model="gpt-5-pro", + messages=[ + { + "role": "user", + "content": "Think of a poem and then write it.", + } + ], + reasoning_effort="high", + ) + print("response: ", response) + assert response.choices[0].message.reasoning_content is not None + + +def test_openai_gpt_5_codex_reasoning(): + litellm._turn_on_debug() + completion_kwargs = { + "model": "gpt-5-codex", + "messages": [ + { + "role": "system", + "content": [ + { + "type": "text", + "text": "You are Claude Code, Anthropic's official CLI for Claude.", + "cache_control": {"type": "ephemeral"}, + }, + { + "type": "text", + "text": '\nYou are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\nIMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.\n\nIf the user asks for help or wants to give feedback inform them of the following:\n- /help: Get help with using Claude Code\n- To give feedback, users should report the issue at https://github.com/anthropics/claude-code/issues\n\nWhen the user directly asks about Claude Code (eg. "can Claude Code do...", "does Claude Code have..."), or asks in second person (eg. "are you able...", "can you do..."), or asks how to use a specific Claude Code feature (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from Claude Code docs. The list of available docs is available at https://docs.claude.com/en/docs/claude-code/claude_code_docs_map.md.\n\n# Tone and style\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- Your output will be displayed on a command line interface. Your responses should be short and concise. You can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.\n- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like Bash or code comments as means to communicate with the user during the session.\n- NEVER create files unless they\'re absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one. This includes markdown files.\n\n# Professional objectivity\nPrioritize technical accuracy and truthfulness over validating the user\'s beliefs. Focus on facts and problem-solving, providing direct, objective technical info without any unnecessary superlatives, praise, or emotional validation. It is best for the user if Claude honestly applies the same rigorous standards to all ideas and disagrees when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it\'s best to investigate to find the truth first rather than instinctively confirming the user\'s beliefs.\n\n# Task Management\nYou have access to the TodoWrite tools to help you manage and plan tasks. Use these tools VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.\nThese tools are also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.\n\nIt is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.\n\nExamples:\n\n\nuser: Run the build and fix any type errors\nassistant: I\'m going to use the TodoWrite tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI\'m now going to run the build using Bash.\n\nLooks like I found 10 type errors. I\'m going to use the TodoWrite tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I\'ll help you implement a usage metrics tracking and export feature. Let me first use the TodoWrite tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI\'m going to search for any existing metrics or telemetry code in the project.\n\nI\'ve found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I\'ve learned...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n\n\n\nUsers may configure \'hooks\', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including , as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.\n\n# Doing tasks\nThe user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:\n- \n- Use the TodoWrite tool to plan the task if required\n\n- Tool results and user messages may include tags. tags contain useful information and reminders. They are automatically added by the system, and bear no direct relation to the specific tool results or user messages in which they appear.\n\n\n# Tool usage policy\n- When doing file search, prefer to use the Task tool in order to reduce context usage.\n- You should proactively use the Task tool with specialized agents when the task at hand matches the agent\'s description.\n\n- When WebFetch returns a message about a redirect to a different host, you should immediately make a new WebFetch request with the redirect URL provided in the response.\n- You can call multiple tools in a single response. If you intend to call multiple tools and there are no dependencies between them, make all independent tool calls in parallel. Maximize use of parallel tool calls where possible to increase efficiency. However, if some tool calls depend on previous calls to inform dependent values, do NOT call these tools in parallel and instead call them sequentially. For instance, if one operation must complete before another starts, run these operations sequentially instead. Never use placeholders or guess missing parameters in tool calls.\n- If the user specifies that they want you to run tools "in parallel", you MUST send a single message with multiple tool use content blocks. For example, if you need to launch multiple agents in parallel, send a single message with multiple Task tool calls.\n- Use specialized tools instead of bash commands when possible, as this provides a better user experience. For file operations, use dedicated tools: Read for reading files instead of cat/head/tail, Edit for editing instead of sed/awk, and Write for creating files instead of cat with heredoc or echo redirection. Reserve bash tools exclusively for actual system commands and terminal operations that require shell execution. NEVER use bash echo or other command-line tools to communicate thoughts, explanations, or instructions to the user. Output all communication directly in your response text instead.\n\n\nHere is useful information about the environment you are running in:\n\nWorking directory: /Users/krrishdholakia/Documents/temp_py_folder/dockerfile_tests\nIs directory a git repo: Yes\nPlatform: darwin\nOS Version: Darwin 24.5.0\nToday\'s date: 2025-10-10\n\nYou are powered by the model gpt-5-codex.\n\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\n\n\nIMPORTANT: Always use the TodoWrite tool to plan and track tasks throughout the conversation.\n\n# Code References\n\nWhen referencing specific functions or pieces of code include the pattern `file_path:line_number` to allow the user to easily navigate to the source code location.\n\n\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function in src/services/process.ts:712.\n\n\ngitStatus: This is the git status at the start of the conversation. Note that this status is a snapshot in time, and will not update during the conversation.\nCurrent branch: main\n\nMain branch (you will usually use this for PRs): \n\nStatus:\nAM ../../.DS_Store\nA ../../.gitignore\nA ../../.localized\nA "../../Berri AI, co-founded by Ishaan Jaffer and Krrish Dholakia, set to secure $1.6 million in funding - The Economic Times.pdf"\nA ../../BerriIngestLoggingUI\nA ../../BerrieAIAccountDetails.pdf\nA ../../CacheDecoratorLocal.py\nAm ../../FastChat\nA "../../Obsidian Vault/.obsidian/app.json"\nA "../../Obsidian Vault/.obsidian/appearance.json"\nA "../../Obsidian Vault/.obsidian/core-plugins-migration.json"\nA "../../Obsidian Vault/.obsidian/core-plugins.json"\nA "../../Obsidian Vault/.obsidian/graph.json"\nA "../../Obsidian Vault/.obsidian/hotkeys.json"\nA "../../Obsidian Vault/.obsidian/workspace.json"\nA "../../Obsidian Vault/2023-06-23.md"\nA "../../Obsidian Vault/2023-07-05.md"\nA "../../Obsidian Vault/Caching Colab.md"\nA "../../Obsidian Vault/Planning reliableGPT Queue.md"\nA "../../Obsidian Vault/Prez Points.md"\nA "../../Obsidian Vault/Shitty Ideas for markei.md"\nA ../../Xnapper-2023-12-28-15.17.32.png\nA ../../Xnapper-2024-01-22-12.41.01.png\nA ../../Xnapper-2024-02-05-22.20.52.png\nA ../../Xnapper-2024-02-25-02.12.26.png\nA ../../Xnapper-2024-04-20-09.17.08.png\nA ../../Xnapper-2024-05-06-22.56.25.png\nA ../../__pycache__/litellm.cpython-311.pyc\nA ../../api_log.json\nAm ../../berri-sentry\nA ../../berriIngest1\nA ../../codeinterpreter-api\nA ../../data_ingest_server_customer_support_template_v_2\nA ../../ezyzip.zip\nA ../../github_app/reliablegpt_bot_1/.dockerignore\nA ../../github_app/reliablegpt_bot_1/.env.example\nA ../../github_app/reliablegpt_bot_1/.gitignore\nA ../../github_app/reliablegpt_bot_1/CODE_OF_CONDUCT.md\nA ../../github_app/reliablegpt_bot_1/CONTRIBUTING.md\nA ../../github_app/reliablegpt_bot_1/Dockerfile\nA ../../github_app/reliablegpt_bot_1/LICENSE\nA ../../github_app/reliablegpt_bot_1/README.md\nA ../../github_app/reliablegpt_bot_1/app.yml\nA ../../github_app/reliablegpt_bot_1/index.js\nA ../../github_app/reliablegpt_bot_1/package-lock.json\nA ../../github_app/reliablegpt_bot_1/package.json\nA ../../github_app/reliablegpt_bot_1/test/fixtures/issues.opened.json\nA ../../github_app/reliablegpt_bot_1/test/fixtures/mock-cert.pem\nA ../../github_app/reliablegpt_bot_1/test/index.test.js\nA? ../../liteLLM-proxy\nAM ../../litellm\nA ../../litellm_config.toml\nA ../../litellm_demo_app\nA ../../litellm_demo_app_ui\nA ../../litellm_logging\nA ../../litellm_playground_backend\nA ../../litellm_spend_api\nA ../../llm_guard_config.yaml\nA ../../oobabooga_macos/CMD_FLAGS.txt\nA ../../oobabooga_macos/INSTRUCTIONS.txt\nA ../../oobabooga_macos/cmd_macos.sh\nA ../../oobabooga_macos/start_macos.sh\nA ../../oobabooga_macos/update_macos.sh\nA ../../oobabooga_macos/webui.py\nA ../../pr-agent\nA ../../proxy-server-backup/.dockerignore\nA ../../proxy-server-backup/.env.template\nA ../../proxy-server-backup/.gitignore\nA ../../proxy-server-backup/Dockerfile\nA ../../proxy-server-backup/LICENSE\nA ../../proxy-server-backup/README.md\nA ../../proxy-server-backup/llm.py\nA ../../proxy-server-backup/main.py\nA ../../proxy-server-backup/poetry.lock\nA ../../proxy-server-backup/pyproject.toml\nA ../../proxy-server-backup/requirements.txt\nA ../../proxy-server-backup/test_proxy.py\nA ../../proxy-server-backup/tests/__init__.py\nA ../../proxy-server-backup/tests/test_proxy.py\nA ../../proxy-server-backup/utils.py\nAm ../../reliableGPT\nAm ../../reliableGPT-logging-server\nA ../../reliableGPT_github/.DS_Store\nAm ../../reliableGPT_github/reliableGPT\nA ../../reliableKeysChecker\nA ../../reliable_gpt_backend\nA ../../reliable_gpt_demo/.cache/replit/__replit_disk_meta.json\nA ../../reliable_gpt_demo/.cache/replit/modules.stamp\nA ../../reliable_gpt_demo/.cache/replit/nix/env.json\nA ../../reliable_gpt_demo/.eslintrc.json\nA ../../reliable_gpt_demo/.gitignore\nA ../../reliable_gpt_demo/.replit\nA ../../reliable_gpt_demo/.upm/store.json\nA ../../reliable_gpt_demo/README.md\nA ../../reliable_gpt_demo/next-env.d.ts\nA ../../reliable_gpt_demo/next.config.js\nA ../../reliable_gpt_demo/package-lock.json\nA ../../reliable_gpt_demo/package.json\nA ../../reliable_gpt_demo/pages/_app.tsx\nA ../../reliable_gpt_demo/pages/api/hello.ts\nA ../../reliable_gpt_demo/pages/index.tsx\nA ../../reliable_gpt_demo/postcss.config.js\nA ../../reliable_gpt_demo/public/favicon.ico\nA ../../reliable_gpt_demo/public/replit.svg\nA ../../reliable_gpt_demo/replit.nix\nA ../../reliable_gpt_demo/replit_zip_error_log.txt\nA ../../reliable_gpt_demo/styles/globals.css\nA ../../reliable_gpt_demo/tailwind.config.js\nA ../../reliable_gpt_demo/tsconfig.json\nA ../../simple_openai_proxy\nAm ../../spend-logs-server/my-app\nA ../../storeQueryAbhi2\nAm ../../storeQueryDiscord\nAM ../.DS_Store\nA ../.cache/41/cache.db\nA ../.cache/42/cache.db\nA ../CMU_Students_Mock_Sheet.csv\nA ../CMU_Students_Mock_Sheet_new.csv\nAm ../LibreChat\nA ../Ollama-Companion\nA ../__pycache__/test_celery_script.cpython-311.pyc\nA ../__pycache__/test_celery_server.cpython-311.pyc\nA ../__pycache__/test_redis_2.cpython-311.pyc\nA ../__target__/org.transcrypt.__runtime__.js\nA ../__target__/org.transcrypt.__runtime__.map\nA ../__target__/org.transcrypt.__runtime__.py\nA ../_redis.py\nA ../_secret_config.yaml\nA ../api_log.json\nA ../autogen-proxy/.cache/42/cache.db\nA ../autogen-proxy/groupchat/tmp_code_93ad590d1bbe2dab918c67bab3611b23.bash\nA ../autogen-proxy/main.py\nA ../brython.js\nA ../caching.py\nA ../chat-ui-litellm-server/docker-compose.yml\nA ../cli_tool/README.md\nA ../cli_tool/cli_tool/__init__.py\nA ../cli_tool/cli_tool/__pycache__/__init__.cpython-311.pyc\nA ../cli_tool/cli_tool/__pycache__/startup.cpython-311.pyc\nA ../cli_tool/cli_tool/startup.py\nA ../cli_tool/dist/cli_tool-0.1.0-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.0.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.1-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.1.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.2-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.2.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.3-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.3.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.4-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.4.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.5-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.5.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.6-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.6.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.62-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.62.tar.gz\nA ../cli_tool/dist/cli_tool-0.1.63-py3-none-any.whl\nA ../cli_tool/dist/cli_tool-0.1.63.tar.gz\nA ../cli_tool/poetry.lock\nA ../cli_tool/pyproject.toml\nA ../cli_tool/tests/__init__.py\nA ../cmu_student_script.py\nA ../code_gen_ab_test/litellm_uuid.txt\nA ../code_gen_ab_test/main.py\nA ../code_gen_ab_test/requirements.txt\nAm ../code_gen_proxy\nA ../config.yaml\nA ../config_yaml.py\nA ../curr_time.py\nA ../customer_kubernetes/cmu_kubernetes_deployment.yaml\nA ../customer_kubernetes/gke_gcloud_auth_plugin_cache\nA "../customer_kubernetes/grammarly_kub_deployment copy.yaml"\nA ../customer_kubernetes/prometheus.yml\nA ../customer_kubernetes/runt.sh\nA ../customer_kubernetes/sia_kub_deployment.yaml\nA ../customer_kubernetes/test.yaml\nA ../customer_kubernetes/tutorials/docker-compose.yaml\nA ../customer_kubernetes/tutorials/flow_configs/README.md\nA ../customer_kubernetes/tutorials/flow_configs/agent.flow\nA ../customer_kubernetes/tutorials/flow_configs/agent.river\nA ../customer_kubernetes/tutorials/flow_configs/example.flow\nA ../customer_kubernetes/tutorials/flow_configs/example.river\nA ../customer_kubernetes/tutorials/flow_configs/multiple-inputs.flow\nA ../customer_kubernetes/tutorials/flow_configs/multiple-inputs.river\nA ../customer_kubernetes/tutorials/flow_configs/relabel.flow\nA ../customer_kubernetes/tutorials/flow_configs/relabel.river\nA ../customer_kubernetes/tutorials/grafana/config/grafana.ini\nA ../customer_kubernetes/tutorials/grafana/dashboards-provisioning/dashboards.yaml\nA ../customer_kubernetes/tutorials/grafana/dashboards/agent.json\nA ../customer_kubernetes/tutorials/grafana/dashboards/template.jsonnet\nA ../customer_kubernetes/tutorials/grafana/datasources/datasource.yml\nA ../customer_kubernetes/tutorials/mimir/mimir.yaml\nAM ../fake_openai_proxy.py\nAM ../fake_openai_server.py\nA ../gunicorn_uvicorn_prisma/.env\nA ../gunicorn_uvicorn_prisma/Dockerfile\nA ../gunicorn_uvicorn_prisma/__pycache__/app.cpython-311.pyc\nA ../gunicorn_uvicorn_prisma/app.py\nA ../gunicorn_uvicorn_prisma/requirements.txt\nA ../gunicorn_uvicorn_prisma/retry_push.sh\nA ../gunicorn_uvicorn_prisma/schema.prisma\nA ../gunicorn_uvicorn_prisma/start.sh\nAm ../h2o-LLM-eval\nA ../hel\nA ../helm-test-repo/index.yaml\nA ../helm-test-repo/litellm-helm-0.2.0.tgz\nA ../kubernetes_deployment.yaml\nA ../litellm-deployment.yaml\nA ../litellm-dockerfile/Dockerfile\nA ../litellm-dockerfile/secrets.toml\nA ../litellm-helm-0.1.182.tgz\nA ../litellm-helm/.DS_Store\nA ../litellm-helm/.helmignore\nAM ../litellm-helm/Chart.lock\nAM ../litellm-helm/Chart.yaml\nAM ../litellm-helm/README.md\nA ../litellm-helm/charts/.DS_Store\nAM ../litellm-helm/charts/postgresql/.helmignore\nAM ../litellm-helm/charts/postgresql/Chart.lock\nAM ../litellm-helm/charts/postgresql/Chart.yaml\nAM ../litellm-helm/charts/postgresql/README.md\nAM ../litellm-helm/charts/postgresql/charts/common/.helmignore\nAM ../litellm-helm/charts/postgresql/charts/common/Chart.yaml\nAM ../litellm-helm/charts/postgresql/charts/common/README.md\nA ../litellm-helm/charts/postgresql/charts/common/templates/_affinities.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_capabilities.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_compatibility.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_errors.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_images.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_ingress.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_labels.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_names.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_resources.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_secrets.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_storage.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_tplvalues.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/_utils.tpl\nAM ../litellm-helm/charts/postgresql/charts/common/templates/_warnings.tpl\nA ../litellm-helm/charts/postgresql/charts/common/templates/validations/_cassandra.tpl\nA 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(truncated because it exceeds 40k characters. If you need more information, run "git status" using BashTool)\n\nRecent commits:\n3066e01 Initial commit (by create-cloudflare CLI)', + "cache_control": {"type": "ephemeral"}, + }, + ], + }, + { + "role": "user", + "content": [ + { + "type": "text", + "text": "\nThis is a reminder that your todo list is currently empty. DO NOT mention this to the user explicitly because they are already aware. If you are working on tasks that would benefit from a todo list please use the TodoWrite tool to create one. If not, please feel free to ignore. Again do not mention this message to the user.\n", + }, + {"type": "text", "text": "hey"}, + ], + }, + ], + "user": "user_5dd07c33da27e6d2968d94ea20bf47a7b090b6b158b82328d54da2909a108e84_account__session_d2e70091-3007-41a3-a916-cb8b0d3098de", + "tools": [ + { + "type": "function", + "function": { + "name": "Task", + "parameters": { + "type": "object", + "properties": { + "description": { + "type": "string", + "description": "A short (3-5 word) description of the task", + }, + "prompt": { + "type": "string", + "description": "The task for the agent to perform", + }, + "subagent_type": { + "type": "string", + "description": "The type of specialized agent to use for this task", + }, + }, + "required": ["description", "prompt", "subagent_type"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": 'Launch a new agent to handle complex, multi-step tasks autonomously. \n\nAvailable agent types and the tools they have access to:\n- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)\n- statusline-setup: Use this agent to configure the user\'s Claude Code status line setting. (Tools: Read, Edit)\n- output-style-setup: Use this agent to create a Claude Code output style. (Tools: Read, Write, Edit, Glob, Grep)\n\nWhen using the Task tool, you must specify a subagent_type parameter to select which agent type to use.\n\nWhen NOT to use the Agent tool:\n- If you want to read a specific file path, use the Read or Glob tool instead of the Agent tool, to find the match more quickly\n- If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly\n- If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Agent tool, to find the match more quickly\n- Other tasks that are not related to the agent descriptions above\n\n\nUsage notes:\n- Launch multiple agents concurrently whenever possible, to maximize performance; to do that, use a single message with multiple tool uses\n- When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result.\n- For agents that run in the background, you will need to use AgentOutputTool to retrieve their results once they are done. You can continue to work while async agents run in the background - when you need their results to continue you can use AgentOutputTool in blocking mode to pause and wait for their results.\n- Each agent invocation is stateless. You will not be able to send additional messages to the agent, nor will the agent be able to communicate with you outside of its final report. Therefore, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.\n- The agent\'s outputs should generally be trusted\n- Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user\'s intent\n- If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.\n- If the user specifies that they want you to run agents "in parallel", you MUST send a single message with multiple Task tool use content blocks. For example, if you need to launch both a code-reviewer agent and a test-runner agent in parallel, send a single message with both tool calls.\n\nExample usage:\n\n\n"code-reviewer": use this agent after you are done writing a signficant piece of code\n"greeting-responder": use this agent when to respond to user greetings with a friendly joke\n\n\n\nuser: "Please write a function that checks if a number is prime"\nassistant: Sure let me write a function that checks if a number is prime\nassistant: First let me use the Write tool to write a function that checks if a number is prime\nassistant: I\'m going to use the Write tool to write the following code:\n\nfunction isPrime(n) {\n if (n <= 1) return false\n for (let i = 2; i * i <= n; i++) {\n if (n % i === 0) return false\n }\n return true\n}\n\n\nSince a signficant piece of code was written and the task was completed, now use the code-reviewer agent to review the code\n\nassistant: Now let me use the code-reviewer agent to review the code\nassistant: Uses the Task tool to launch the with the code-reviewer agent \n\n\n\nuser: "Hello"\n\nSince the user is greeting, use the greeting-responder agent to respond with a friendly joke\n\nassistant: "I\'m going to use the Task tool to launch the with the greeting-responder agent"\n\n', + }, + }, + { + "type": "function", + "function": { + "name": "Bash", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "The command to execute", + }, + "timeout": { + "type": "number", + "description": "Optional timeout in milliseconds (max 600000)", + }, + "description": { + "type": "string", + "description": "Clear, concise description of what this command does in 5-10 words, in active voice. Examples:\nInput: ls\nOutput: List files in current directory\n\nInput: git status\nOutput: Show working tree status\n\nInput: npm install\nOutput: Install package dependencies\n\nInput: mkdir foo\nOutput: Create directory 'foo'", + }, + "run_in_background": { + "type": "boolean", + "description": "Set to true to run this command in the background. Use BashOutput to read the output later.", + }, + }, + "required": ["command"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": 'Executes a given bash command in a persistent shell session with optional timeout, ensuring proper handling and security measures.\n\nIMPORTANT: This tool is for terminal operations like git, npm, docker, etc. DO NOT use it for file operations (reading, writing, editing, searching, finding files) - use the specialized tools for this instead.\n\nBefore executing the command, please follow these steps:\n\n1. Directory Verification:\n - If the command will create new directories or files, first use `ls` to verify the parent directory exists and is the correct location\n - For example, before running "mkdir foo/bar", first use `ls foo` to check that "foo" exists and is the intended parent directory\n\n2. Command Execution:\n - Always quote file paths that contain spaces with double quotes (e.g., cd "path with spaces/file.txt")\n - Examples of proper quoting:\n - cd "/Users/name/My Documents" (correct)\n - cd /Users/name/My Documents (incorrect - will fail)\n - python "/path/with spaces/script.py" (correct)\n - python /path/with spaces/script.py (incorrect - will fail)\n - After ensuring proper quoting, execute the command.\n - Capture the output of the command.\n\nUsage notes:\n - The command argument is required.\n - You can specify an optional timeout in milliseconds (up to 600000ms / 10 minutes). If not specified, commands will timeout after 120000ms (2 minutes).\n - It is very helpful if you write a clear, concise description of what this command does in 5-10 words.\n - If the output exceeds 30000 characters, output will be truncated before being returned to you.\n - You can use the `run_in_background` parameter to run the command in the background, which allows you to continue working while the command runs. You can monitor the output using the Bash tool as it becomes available. Never use `run_in_background` to run \'sleep\' as it will return immediately. You do not need to use \'&\' at the end of the command when using this parameter.\n \n - Avoid using Bash with the `find`, `grep`, `cat`, `head`, `tail`, `sed`, `awk`, or `echo` commands, unless explicitly instructed or when these commands are truly necessary for the task. Instead, always prefer using the dedicated tools for these commands:\n - File search: Use Glob (NOT find or ls)\n - Content search: Use Grep (NOT grep or rg)\n - Read files: Use Read (NOT cat/head/tail)\n - Edit files: Use Edit (NOT sed/awk)\n - Write files: Use Write (NOT echo >/cat <\n pytest /foo/bar/tests\n \n \n cd /foo/bar && pytest tests\n \n\n# Committing changes with git\n\nOnly create commits when requested by the user. If unclear, ask first. When the user asks you to create a new git commit, follow these steps carefully:\n\nGit Safety Protocol:\n- NEVER update the git config\n- NEVER run destructive/irreversible git commands (like push --force, hard reset, etc) unless the user explicitly requests them \n- NEVER skip hooks (--no-verify, --no-gpg-sign, etc) unless the user explicitly requests it\n- NEVER run force push to main/master, warn the user if they request it\n- Avoid git commit --amend. ONLY use --amend when either (1) user explicitly requested amend OR (2) adding edits from pre-commit hook (additional instructions below) \n- Before amending: ALWAYS check authorship (git log -1 --format=\'%an %ae\')\n- NEVER commit changes unless the user explicitly asks you to. It is VERY IMPORTANT to only commit when explicitly asked, otherwise the user will feel that you are being too proactive.\n\n1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following bash commands in parallel, each using the Bash tool:\n - Run a git status command to see all untracked files.\n - Run a git diff command to see both staged and unstaged changes that will be committed.\n - Run a git log command to see recent commit messages, so that you can follow this repository\'s commit message style.\n2. Analyze all staged changes (both previously staged and newly added) and draft a commit message:\n - Summarize the nature of the changes (eg. new feature, enhancement to an existing feature, bug fix, refactoring, test, docs, etc.). Ensure the message accurately reflects the changes and their purpose (i.e. "add" means a wholly new feature, "update" means an enhancement to an existing feature, "fix" means a bug fix, etc.).\n - Do not commit files that likely contain secrets (.env, credentials.json, etc). Warn the user if they specifically request to commit those files\n - Draft a concise (1-2 sentences) commit message that focuses on the "why" rather than the "what"\n - Ensure it accurately reflects the changes and their purpose\n3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands:\n - Add relevant untracked files to the staging area.\n - Create the commit with a message ending with:\n 🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n Co-Authored-By: Claude \n - Run git status after the commit completes to verify success.\n Note: git status depends on the commit completing, so run it sequentially after the commit.\n4. If the commit fails due to pre-commit hook changes, retry ONCE. If it succeeds but files were modified by the hook, verify it\'s safe to amend:\n - Check authorship: git log -1 --format=\'%an %ae\'\n - Check not pushed: git status shows "Your branch is ahead"\n - If both true: amend your commit. Otherwise: create NEW commit (never amend other developers\' commits)\n\nImportant notes:\n- NEVER run additional commands to read or explore code, besides git bash commands\n- NEVER use the TodoWrite or Task tools\n- DO NOT push to the remote repository unless the user explicitly asks you to do so\n- IMPORTANT: Never use git commands with the -i flag (like git rebase -i or git add -i) since they require interactive input which is not supported.\n- If there are no changes to commit (i.e., no untracked files and no modifications), do not create an empty commit\n- In order to ensure good formatting, ALWAYS pass the commit message via a HEREDOC, a la this example:\n\ngit commit -m "$(cat <<\'EOF\'\n Commit message here.\n\n 🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n Co-Authored-By: Claude \n EOF\n )"\n\n\n# Creating pull requests\nUse the gh command via the Bash tool for ALL GitHub-related tasks including working with issues, pull requests, checks, and releases. If given a Github URL use the gh command to get the information needed.\n\nIMPORTANT: When the user asks you to create a pull request, follow these steps carefully:\n\n1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following bash commands in parallel using the Bash tool, in order to understand the current state of the branch since it diverged from the main branch:\n - Run a git status command to see all untracked files\n - Run a git diff command to see both staged and unstaged changes that will be committed\n - Check if the current branch tracks a remote branch and is up to date with the remote, so you know if you need to push to the remote\n - Run a git log command and `git diff [base-branch]...HEAD` to understand the full commit history for the current branch (from the time it diverged from the base branch)\n2. Analyze all changes that will be included in the pull request, making sure to look at all relevant commits (NOT just the latest commit, but ALL commits that will be included in the pull request!!!), and draft a pull request summary\n3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands in parallel:\n - Create new branch if needed\n - Push to remote with -u flag if needed\n - Create PR using gh pr create with the format below. Use a HEREDOC to pass the body to ensure correct formatting.\n\ngh pr create --title "the pr title" --body "$(cat <<\'EOF\'\n## Summary\n<1-3 bullet points>\n\n## Test plan\n[Bulleted markdown checklist of TODOs for testing the pull request...]\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\nEOF\n)"\n\n\nImportant:\n- DO NOT use the TodoWrite or Task tools\n- Return the PR URL when you\'re done, so the user can see it\n\n# Other common operations\n- View comments on a Github PR: gh api repos/foo/bar/pulls/123/comments', + }, + }, + { + "type": "function", + "function": { + "name": "Glob", + "parameters": { + "type": "object", + "properties": { + "pattern": { + "type": "string", + "description": "The glob pattern to match files against", + }, + "path": { + "type": "string", + "description": 'The directory to search in. If not specified, the current working directory will be used. IMPORTANT: Omit this field to use the default directory. DO NOT enter "undefined" or "null" - simply omit it for the default behavior. Must be a valid directory path if provided.', + }, + }, + "required": ["pattern"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": '- Fast file pattern matching tool that works with any codebase size\n- Supports glob patterns like "**/*.js" or "src/**/*.ts"\n- Returns matching file paths sorted by modification time\n- Use this tool when you need to find files by name patterns\n- When you are doing an open ended search that may require multiple rounds of globbing and grepping, use the Agent tool instead\n- You can call multiple tools in a single response. It is always better to speculatively perform multiple searches in parallel if they are potentially useful.', + }, + }, + { + "type": "function", + "function": { + "name": "Grep", + "parameters": { + "type": "object", + "properties": { + "pattern": { + "type": "string", + "description": "The regular expression pattern to search for in file contents", + }, + "path": { + "type": "string", + "description": "File or directory to search in (rg PATH). Defaults to current working directory.", + }, + "glob": { + "type": "string", + "description": 'Glob pattern to filter files (e.g. "*.js", "*.{ts,tsx}") - maps to rg --glob', + }, + "output_mode": { + "type": "string", + "enum": ["content", "files_with_matches", "count"], + "description": 'Output mode: "content" shows matching lines (supports -A/-B/-C context, -n line numbers, head_limit), "files_with_matches" shows file paths (supports head_limit), "count" shows match counts (supports head_limit). Defaults to "files_with_matches".', + }, + "-B": { + "type": "number", + "description": 'Number of lines to show before each match (rg -B). Requires output_mode: "content", ignored otherwise.', + }, + "-A": { + "type": "number", + "description": 'Number of lines to show after each match (rg -A). Requires output_mode: "content", ignored otherwise.', + }, + "-C": { + "type": "number", + "description": 'Number of lines to show before and after each match (rg -C). Requires output_mode: "content", ignored otherwise.', + }, + "-n": { + "type": "boolean", + "description": 'Show line numbers in output (rg -n). Requires output_mode: "content", ignored otherwise.', + }, + "-i": { + "type": "boolean", + "description": "Case insensitive search (rg -i)", + }, + "type": { + "type": "string", + "description": "File type to search (rg --type). Common types: js, py, rust, go, java, etc. More efficient than include for standard file types.", + }, + "head_limit": { + "type": "number", + "description": 'Limit output to first N lines/entries, equivalent to "| head -N". Works across all output modes: content (limits output lines), files_with_matches (limits file paths), count (limits count entries). When unspecified, shows all results from ripgrep.', + }, + "multiline": { + "type": "boolean", + "description": "Enable multiline mode where . matches newlines and patterns can span lines (rg -U --multiline-dotall). Default: false.", + }, + }, + "required": ["pattern"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": 'A powerful search tool built on ripgrep\n\n Usage:\n - ALWAYS use Grep for search tasks. NEVER invoke `grep` or `rg` as a Bash command. The Grep tool has been optimized for correct permissions and access.\n - Supports full regex syntax (e.g., "log.*Error", "function\\s+\\w+")\n - Filter files with glob parameter (e.g., "*.js", "**/*.tsx") or type parameter (e.g., "js", "py", "rust")\n - Output modes: "content" shows matching lines, "files_with_matches" shows only file paths (default), "count" shows match counts\n - Use Task tool for open-ended searches requiring multiple rounds\n - Pattern syntax: Uses ripgrep (not grep) - literal braces need escaping (use `interface\\{\\}` to find `interface{}` in Go code)\n - Multiline matching: By default patterns match within single lines only. For cross-line patterns like `struct \\{[\\s\\S]*?field`, use `multiline: true`\n', + }, + }, + { + "type": "function", + "function": { + "name": "ExitPlanMode", + "parameters": { + "type": "object", + "properties": { + "plan": { + "type": "string", + "description": "The plan you came up with, that you want to run by the user for approval. Supports markdown. The plan should be pretty concise.", + } + }, + "required": ["plan"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": 'Use this tool when you are in plan mode and have finished presenting your plan and are ready to code. This will prompt the user to exit plan mode.\nIMPORTANT: Only use this tool when the task requires planning the implementation steps of a task that requires writing code. For research tasks where you\'re gathering information, searching files, reading files or in general trying to understand the codebase - do NOT use this tool.\n\nEg.\n1. Initial task: "Search for and understand the implementation of vim mode in the codebase" - Do not use the exit plan mode tool because you are not planning the implementation steps of a task.\n2. Initial task: "Help me implement yank mode for vim" - Use the exit plan mode tool after you have finished planning the implementation steps of the task.\n', + }, + }, + { + "type": "function", + "function": { + "name": "Read", + "parameters": { + "type": "object", + "properties": { + "file_path": { + "type": "string", + "description": "The absolute path to the file to read", + }, + "offset": { + "type": "number", + "description": "The line number to start reading from. Only provide if the file is too large to read at once", + }, + "limit": { + "type": "number", + "description": "The number of lines to read. Only provide if the file is too large to read at once.", + }, + }, + "required": ["file_path"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "Reads a file from the local filesystem. You can access any file directly by using this tool.\nAssume this tool is able to read all files on the machine. If the User provides a path to a file assume that path is valid. It is okay to read a file that does not exist; an error will be returned.\n\nUsage:\n- The file_path parameter must be an absolute path, not a relative path\n- By default, it reads up to 2000 lines starting from the beginning of the file\n- You can optionally specify a line offset and limit (especially handy for long files), but it's recommended to read the whole file by not providing these parameters\n- Any lines longer than 2000 characters will be truncated\n- Results are returned using cat -n format, with line numbers starting at 1\n- This tool allows Claude Code to read images (eg PNG, JPG, etc). When reading an image file the contents are presented visually as Claude Code is a multimodal LLM.\n- This tool can read PDF files (.pdf). PDFs are processed page by page, extracting both text and visual content for analysis.\n- This tool can read Jupyter notebooks (.ipynb files) and returns all cells with their outputs, combining code, text, and visualizations.\n- This tool can only read files, not directories. To read a directory, use an ls command via the Bash tool.\n- You can call multiple tools in a single response. It is always better to speculatively read multiple potentially useful files in parallel.\n- You will regularly be asked to read screenshots. If the user provides a path to a screenshot, ALWAYS use this tool to view the file at the path. This tool will work with all temporary file paths.\n- If you read a file that exists but has empty contents you will receive a system reminder warning in place of file contents.", + }, + }, + { + "type": "function", + "function": { + "name": "Edit", + "parameters": { + "type": "object", + "properties": { + "file_path": { + "type": "string", + "description": "The absolute path to the file to modify", + }, + "old_string": { + "type": "string", + "description": "The text to replace", + }, + "new_string": { + "type": "string", + "description": "The text to replace it with (must be different from old_string)", + }, + "replace_all": { + "type": "boolean", + "default": False, + "description": "Replace all occurences of old_string (default false)", + }, + }, + "required": ["file_path", "old_string", "new_string"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "Performs exact string replacements in files. \n\nUsage:\n- You must use your `Read` tool at least once in the conversation before editing. This tool will error if you attempt an edit without reading the file. \n- When editing text from Read tool output, ensure you preserve the exact indentation (tabs/spaces) as it appears AFTER the line number prefix. The line number prefix format is: spaces + line number + tab. Everything after that tab is the actual file content to match. Never include any part of the line number prefix in the old_string or new_string.\n- ALWAYS prefer editing existing files in the codebase. NEVER write new files unless explicitly required.\n- Only use emojis if the user explicitly requests it. Avoid adding emojis to files unless asked.\n- The edit will FAIL if `old_string` is not unique in the file. Either provide a larger string with more surrounding context to make it unique or use `replace_all` to change every instance of `old_string`. \n- Use `replace_all` for replacing and renaming strings across the file. This parameter is useful if you want to rename a variable for instance.", + }, + }, + { + "type": "function", + "function": { + "name": "Write", + "parameters": { + "type": "object", + "properties": { + "file_path": { + "type": "string", + "description": "The absolute path to the file to write (must be absolute, not relative)", + }, + "content": { + "type": "string", + "description": "The content to write to the file", + }, + }, + "required": ["file_path", "content"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "Writes a file to the local filesystem.\n\nUsage:\n- This tool will overwrite the existing file if there is one at the provided path.\n- If this is an existing file, you MUST use the Read tool first to read the file's contents. This tool will fail if you did not read the file first.\n- ALWAYS prefer editing existing files in the codebase. NEVER write new files unless explicitly required.\n- NEVER proactively create documentation files (*.md) or README files. Only create documentation files if explicitly requested by the User.\n- Only use emojis if the user explicitly requests it. Avoid writing emojis to files unless asked.", + }, + }, + { + "type": "function", + "function": { + "name": "NotebookEdit", + "parameters": { + "type": "object", + "properties": { + "notebook_path": { + "type": "string", + "description": "The absolute path to the Jupyter notebook file to edit (must be absolute, not relative)", + }, + "cell_id": { + "type": "string", + "description": "The ID of the cell to edit. When inserting a new cell, the new cell will be inserted after the cell with this ID, or at the beginning if not specified.", + }, + "new_source": { + "type": "string", + "description": "The new source for the cell", + }, + "cell_type": { + "type": "string", + "enum": ["code", "markdown"], + "description": "The type of the cell (code or markdown). If not specified, it defaults to the current cell type. If using edit_mode=insert, this is required.", + }, + "edit_mode": { + "type": "string", + "enum": ["replace", "insert", "delete"], + "description": "The type of edit to make (replace, insert, delete). Defaults to replace.", + }, + }, + "required": ["notebook_path", "new_source"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "Completely replaces the contents of a specific cell in a Jupyter notebook (.ipynb file) with new source. Jupyter notebooks are interactive documents that combine code, text, and visualizations, commonly used for data analysis and scientific computing. The notebook_path parameter must be an absolute path, not a relative path. The cell_number is 0-indexed. Use edit_mode=insert to add a new cell at the index specified by cell_number. Use edit_mode=delete to delete the cell at the index specified by cell_number.", + }, + }, + { + "type": "function", + "function": { + "name": "WebFetch", + "parameters": { + "type": "object", + "properties": { + "url": { + "type": "string", + "format": "uri", + "description": "The URL to fetch content from", + }, + "prompt": { + "type": "string", + "description": "The prompt to run on the fetched content", + }, + }, + "required": ["url", "prompt"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": '\n- Fetches content from a specified URL and processes it using an AI model\n- Takes a URL and a prompt as input\n- Fetches the URL content, converts HTML to markdown\n- Processes the content with the prompt using a small, fast model\n- Returns the model\'s response about the content\n- Use this tool when you need to retrieve and analyze web content\n\nUsage notes:\n - IMPORTANT: If an MCP-provided web fetch tool is available, prefer using that tool instead of this one, as it may have fewer restrictions. All MCP-provided tools start with "mcp__".\n - The URL must be a fully-formed valid URL\n - HTTP URLs will be automatically upgraded to HTTPS\n - The prompt should describe what information you want to extract from the page\n - This tool is read-only and does not modify any files\n - Results may be summarized if the content is very large\n - Includes a self-cleaning 15-minute cache for faster responses when repeatedly accessing the same URL\n - When a URL redirects to a different host, the tool will inform you and provide the redirect URL in a special format. You should then make a new WebFetch request with the redirect URL to fetch the content.\n', + }, + }, + { + "type": "function", + "function": { + "name": "TodoWrite", + "parameters": { + "type": "object", + "properties": { + "todos": { + "type": "array", + "items": { + "type": "object", + "properties": { + "content": {"type": "string", "minLength": 1}, + "status": { + "type": "string", + "enum": [ + "pending", + "in_progress", + "completed", + ], + }, + "activeForm": { + "type": "string", + "minLength": 1, + }, + }, + "required": ["content", "status", "activeForm"], + "additionalProperties": False, + }, + "description": "The updated todo list", + } + }, + "required": ["todos"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user.\nIt also helps the user understand the progress of the task and overall progress of their requests.\n\n## When to Use This Tool\nUse this tool proactively in these scenarios:\n\n1. Complex multi-step tasks - When a task requires 3 or more distinct steps or actions\n2. Non-trivial and complex tasks - Tasks that require careful planning or multiple operations\n3. User explicitly requests todo list - When the user directly asks you to use the todo list\n4. User provides multiple tasks - When users provide a list of things to be done (numbered or comma-separated)\n5. After receiving new instructions - Immediately capture user requirements as todos\n6. When you start working on a task - Mark it as in_progress BEFORE beginning work. Ideally you should only have one todo as in_progress at a time\n7. After completing a task - Mark it as completed and add any new follow-up tasks discovered during implementation\n\n## When NOT to Use This Tool\n\nSkip using this tool when:\n1. There is only a single, straightforward task\n2. The task is trivial and tracking it provides no organizational benefit\n3. The task can be completed in less than 3 trivial steps\n4. The task is purely conversational or informational\n\nNOTE that you should not use this tool if there is only one trivial task to do. In this case you are better off just doing the task directly.\n\n## Examples of When to Use the Todo List\n\n\nUser: I want to add a dark mode toggle to the application settings. Make sure you run the tests and build when you're done!\nAssistant: I'll help add a dark mode toggle to your application settings. Let me create a todo list to track this implementation.\n*Creates todo list with the following items:*\n1. Creating dark mode toggle component in Settings page\n2. Adding dark mode state management (context/store)\n3. Implementing CSS-in-JS styles for dark theme\n4. Updating existing components to support theme switching\n5. Running tests and build process, addressing any failures or errors that occur\n*Begins working on the first task*\n\n\nThe assistant used the todo list because:\n1. Adding dark mode is a multi-step feature requiring UI, state management, and styling changes\n2. The user explicitly requested tests and build be run afterward\n3. The assistant inferred that tests and build need to pass by adding \"Ensure tests and build succeed\" as the final task\n\n\n\n\nUser: Help me rename the function getCwd to getCurrentWorkingDirectory across my project\nAssistant: Let me first search through your codebase to find all occurrences of 'getCwd'.\n*Uses grep or search tools to locate all instances of getCwd in the codebase*\nAssistant: I've found 15 instances of 'getCwd' across 8 different files. Let me create a todo list to track these changes.\n*Creates todo list with specific items for each file that needs updating*\n\n\nThe assistant used the todo list because:\n1. First, the assistant searched to understand the scope of the task\n2. Upon finding multiple occurrences across different files, it determined this was a complex task with multiple steps\n3. The todo list helps ensure every instance is tracked and updated systematically\n4. This approach prevents missing any occurrences and maintains code consistency\n\n\n\n\n\nUser: I need to implement these features for my e-commerce site: user registration, product catalog, shopping cart, and checkout flow.\nAssistant: I'll help implement these features. First, let's add all the features to the todo list.\n*Creates a todo list breaking down each feature into specific tasks based on the project architecture*\nAssistant: Let's start with user registration. This will involve creating database models, API endpoints, and frontend forms that integrate with your existing authentication system.\n\n\nThe assistant used the todo list because:\n1. The user provided multiple complex features to implement in a comma separated list\n2. The todo list helps organize these large features into manageable tasks\n3. This approach allows for tracking progress across the entire implementation\n\n\n\n\nUser: Can you help optimize my React application? It's rendering slowly and has performance issues.\nAssistant: I'll help optimize your React application. First, let me examine your codebase to identify potential performance bottlenecks.\n*Reviews component structure, render patterns, state management, and data fetching*\nAssistant: After analyzing your codebase, I've identified several performance issues. Let me create a todo list to track our optimization efforts.\n*Creates todo list with items like: 1) Implementing memoization for expensive calculations in ProductList, 2) Adding virtualization for long lists in Dashboard, 3) Optimizing image loading in Gallery component, 4) Fixing state update loops in ShoppingCart, 5) Reviewing bundle size and implementing code splitting*\nLet's start by implementing memoization for the expensive calculations in your ProductList component.\n\n\nThe assistant used the todo list because:\n1. First, the assistant examined the codebase to identify specific performance issues\n2. Based on this analysis, it identified multiple optimization opportunities\n3. Performance optimization is a non-trivial task requiring multiple steps\n4. The todo list helps methodically track improvements across different components\n5. This systematic approach ensures all performance bottlenecks are addressed\n\n\n\n## Examples of When NOT to Use the Todo List\n\n\nUser: How do I print 'Hello World' in Python?\nAssistant: In Python, you can print \"Hello World\" with this simple code:\n\npython\nprint(\"Hello World\")\n\nThis will output the text \"Hello World\" to the console when executed.\n\n\nThe assistant did not use the todo list because this is a single, trivial task that can be completed in one step. There's no need to track multiple tasks or steps for such a straightforward request.\n\n\n\n\nUser: What does the git status command do?\nAssistant: The git status command shows the current state of your working directory and staging area. It displays which changes have been staged, which haven't, and which files aren't being tracked by Git. This is a fundamental command for understanding the current state of your repository before making commits.\n\n\nThe assistant did not use the todo list because this is an informational request with no actual coding task to complete. The user is simply asking for an explanation, not for the assistant to perform multiple steps or tasks.\n\n\n\n\nUser: Can you add a comment to the calculateTotal function to explain what it does?\nAssistant: Sure, let me add a comment to the calculateTotal function to explain what it does.\n* Uses the Edit tool to add a comment to the calculateTotal function *\n\n\nThe assistant did not use the todo list because this is a single, straightforward task confined to one location in the code. Adding a comment doesn't require tracking multiple steps or systematic organization.\n\n\n\n\nUser: Run npm install for me and tell me what happens.\nAssistant: I'll run the npm install command for you.\n\n*Executes: npm install*\n\nThe command completed successfully. Here's the output:\n[Output of npm install command]\n\nAll dependencies have been installed according to your package.json file.\n\n\nThe assistant did not use the todo list because this is a single command execution with immediate results. There are no multiple steps to track or organize, making the todo list unnecessary for this straightforward task.\n\n\n\n## Task States and Management\n\n1. **Task States**: Use these states to track progress:\n - pending: Task not yet started\n - in_progress: Currently working on (limit to ONE task at a time)\n - completed: Task finished successfully\n\n **IMPORTANT**: Task descriptions must have two forms:\n - content: The imperative form describing what needs to be done (e.g., \"Run tests\", \"Build the project\")\n - activeForm: The present continuous form shown during execution (e.g., \"Running tests\", \"Building the project\")\n\n2. **Task Management**:\n - Update task status in real-time as you work\n - Mark tasks complete IMMEDIATELY after finishing (don't batch completions)\n - Exactly ONE task must be in_progress at any time (not less, not more)\n - Complete current tasks before starting new ones\n - Remove tasks that are no longer relevant from the list entirely\n\n3. **Task Completion Requirements**:\n - ONLY mark a task as completed when you have FULLY accomplished it\n - If you encounter errors, blockers, or cannot finish, keep the task as in_progress\n - When blocked, create a new task describing what needs to be resolved\n - Never mark a task as completed if:\n - Tests are failing\n - Implementation is partial\n - You encountered unresolved errors\n - You couldn't find necessary files or dependencies\n\n4. **Task Breakdown**:\n - Create specific, actionable items\n - Break complex tasks into smaller, manageable steps\n - Use clear, descriptive task names\n - Always provide both forms:\n - content: \"Fix authentication bug\"\n - activeForm: \"Fixing authentication bug\"\n\nWhen in doubt, use this tool. Being proactive with task management demonstrates attentiveness and ensures you complete all requirements successfully.\n", + }, + }, + { + "type": "function", + "function": { + "name": "WebSearch", + "parameters": { + "type": "object", + "properties": { + "query": { + "type": "string", + "minLength": 2, + "description": "The search query to use", + }, + "allowed_domains": { + "type": "array", + "items": {"type": "string"}, + "description": "Only include search results from these domains", + }, + "blocked_domains": { + "type": "array", + "items": {"type": "string"}, + "description": "Never include search results from these domains", + }, + }, + "required": ["query"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": '\n- Allows Claude to search the web and use the results to inform responses\n- Provides up-to-date information for current events and recent data\n- Returns search result information formatted as search result blocks\n- Use this tool for accessing information beyond Claude\'s knowledge cutoff\n- Searches are performed automatically within a single API call\n\nUsage notes:\n - Domain filtering is supported to include or block specific websites\n - Web search is only available in the US\n - Account for "Today\'s date" in . For example, if says "Today\'s date: 2025-07-01", and the user wants the latest docs, do not use 2024 in the search query. Use 2025.\n', + }, + }, + { + "type": "function", + "function": { + "name": "BashOutput", + "parameters": { + "type": "object", + "properties": { + "bash_id": { + "type": "string", + "description": "The ID of the background shell to retrieve output from", + }, + "filter": { + "type": "string", + "description": "Optional regular expression to filter the output lines. Only lines matching this regex will be included in the result. Any lines that do not match will no longer be available to read.", + }, + }, + "required": ["bash_id"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "\n- Retrieves output from a running or completed background bash shell\n- Takes a shell_id parameter identifying the shell\n- Always returns only new output since the last check\n- Returns stdout and stderr output along with shell status\n- Supports optional regex filtering to show only lines matching a pattern\n- Use this tool when you need to monitor or check the output of a long-running shell\n- Shell IDs can be found using the /bashes command\n", + }, + }, + { + "type": "function", + "function": { + "name": "KillShell", + "parameters": { + "type": "object", + "properties": { + "shell_id": { + "type": "string", + "description": "The ID of the background shell to kill", + } + }, + "required": ["shell_id"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": "\n- Kills a running background bash shell by its ID\n- Takes a shell_id parameter identifying the shell to kill\n- Returns a success or failure status \n- Use this tool when you need to terminate a long-running shell\n- Shell IDs can be found using the /bashes command\n", + }, + }, + { + "type": "function", + "function": { + "name": "SlashCommand", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": 'The slash command to execute with its arguments, e.g., "/review-pr 123"', + } + }, + "required": ["command"], + "additionalProperties": False, + "$schema": "http://json-schema.org/draft-07/schema#", + }, + "description": 'Execute a slash command within the main conversation\n\n**IMPORTANT - Intent Matching:**\nBefore starting any task, CHECK if the user\'s request matches one of the slash commands listed below. This tool exists to route user intentions to specialized workflows.\n\nHow slash commands work:\nWhen you use this tool or when a user types a slash command, you will see {name} is running… followed by the expanded prompt. For example, if .claude/commands/foo.md contains "Print today\'s date", then /foo expands to that prompt in the next message.\n\nUsage:\n- `command` (required): The slash command to execute, including any arguments\n- Example: `command: "/review-pr 123"`\n\nIMPORTANT: Only use this tool for custom slash commands that appear in the Available Commands list below. Do NOT use for:\n- Built-in CLI commands (like /help, /clear, etc.)\n- Commands not shown in the list\n- Commands you think might exist but aren\'t listed\n\nNotes:\n- When a user requests multiple slash commands, execute each one sequentially and check for {name} is running… to verify each has been processed\n- Do not invoke a command that is already running. For example, if you see foo is running…, do NOT use this tool with "/foo" - process the expanded prompt in the following message\n- Only custom slash commands with descriptions are listed in Available Commands. If a user\'s command is not listed, ask them to check the slash command file and consult the docs.\n', + }, + }, + ], + "max_tokens": 32000, + "temperature": 1, + "stream": True, + "stream_options": {"include_usage": True}, + } + + response = litellm.completion(**completion_kwargs) + print("response: ", response) + for chunk in response: + print("chunk: ", chunk) diff --git a/tests/pass_through_tests/test_openai_assistants_passthrough.py b/tests/pass_through_tests/test_openai_assistants_passthrough.py index e5783877ec0..28568005fd6 100644 --- a/tests/pass_through_tests/test_openai_assistants_passthrough.py +++ b/tests/pass_through_tests/test_openai_assistants_passthrough.py @@ -9,9 +9,12 @@ from openai import AssistantEventHandler client = openai.OpenAI(base_url="http://0.0.0.0:4000/openai", api_key="sk-1234") + def test_pass_through_file_operations(): # Create a temporary file - with tempfile.NamedTemporaryFile(mode='w+', suffix='.txt', delete=False) as temp_file: + with tempfile.NamedTemporaryFile( + mode="w+", suffix=".txt", delete=False + ) as temp_file: temp_file.write("This is a test file for the OpenAI Assistants API.") temp_file.flush() @@ -26,6 +29,7 @@ def test_pass_through_file_operations(): delete_file = client.files.delete(file.id) print("file deleted", delete_file) + def test_openai_assistants_e2e_operations(): assistant = client.beta.assistants.create( name="Math Tutor", @@ -98,13 +102,13 @@ def test_openai_assistants_e2e_operations_stream(): stream.until_done() - def test_azure_openai_assistants_e2e_operations_stream(): from openai import AzureOpenAI + client = AzureOpenAI( - base_url="http://0.0.0.0:4000/azure-config-passthrough/openai", + base_url="http://0.0.0.0:4000/azure-config-passthrough/openai", api_key="sk-1234", - api_version="2025-01-01-preview" + api_version="2025-01-01-preview", ) assistant = client.beta.assistants.create( name="Math Tutor", @@ -134,4 +138,4 @@ def test_azure_openai_assistants_e2e_operations_stream(): instructions="Please address the user as Jane Doe. The user has a premium account.", event_handler=EventHandler(), ) as stream: - stream.until_done() \ No newline at end of file + stream.until_done() diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py index ef76cfa02d1..40a6bbd8e0f 100644 --- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py +++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py @@ -84,3 +84,192 @@ def test_openai_responses_chunk_parser_reasoning_summary(): assert delta.reasoning_content == "**Compar" assert delta.tool_calls is None assert delta.function_call is None + + +def test_transform_response_with_reasoning_and_output(): + """Test transform_response handles ResponsesAPIResponse with reasoning items and output messages.""" + from unittest.mock import Mock + + from openai.types.responses import ResponseOutputMessage, ResponseOutputText + from openai.types.responses.response_reasoning_item import ( + ResponseReasoningItem, + Summary, + ) + + from litellm.completion_extras.litellm_responses_transformation.transformation import ( + LiteLLMResponsesTransformationHandler, + ) + from litellm.types.llms.openai import ( + InputTokensDetails, + OutputTokensDetails, + ResponseAPIUsage, + ResponsesAPIResponse, + ) + from litellm.types.utils import ModelResponse, Usage + + handler = LiteLLMResponsesTransformationHandler() + + # Create the reasoning item with summary + reasoning_summary = Summary( + text="**Creating a poem**\n\nThe user wants a poem without constraints, which is great! I need to focus on keeping it original and evocative.", + type="summary_text", + ) + reasoning_item = ResponseReasoningItem( + id="rs_04c8021b8b3188a00068e9ae08c2d8819d82268b129351a979", + summary=[reasoning_summary], + type="reasoning", + content=None, + encrypted_content=None, + status=None, + ) + + # Create the output message with the poem + poem_text = """I found a pocket of evening +hidden behind the gutters of the day — +a small, folded sky of blue +that hummed like a hush. + +The streetlight rehearsed its first apology, +slowly pulling down the curtain +on the city's impatient laughter. +Windows blinked awake like tired eyes, +and the air remembered rain it once promised. + +You walked by with a map of quiet in your hands, +tracing routes that led away from all the clocks. +For a moment the coffee shop's bell +tied our minutes together — bright and accidental — +and the world refined itself to the size of that bell's sound. + +We did not name the solitude; we sipped it. +You left a warmth on the bench like a small sun, +and night stitched the rest into blue and shadow. +Tomorrow will bring its petitions and promises, +but for now the city breathes slow and wide, +and I learn to carry this small calm home.""" + + output_text = ResponseOutputText( + annotations=[], text=poem_text, type="output_text", logprobs=[] + ) + output_message = ResponseOutputMessage( + id="msg_04c8021b8b3188a00068e9ae0b92f4819dac64d85b4abb67ec", + content=[output_text], + role="assistant", + status="completed", + type="message", + ) + + # Create usage information + usage = ResponseAPIUsage( + input_tokens=16, + input_tokens_details=InputTokensDetails( + audio_tokens=None, cached_tokens=0, text_tokens=None + ), + output_tokens=195, + output_tokens_details=OutputTokensDetails(reasoning_tokens=0, text_tokens=None), + total_tokens=211, + cost=None, + ) + + # Create the full ResponsesAPIResponse + raw_response = ResponsesAPIResponse( + id="resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDpOb25lO3Jlc3BvbnNlX2lkOnJlc3BfMDRjODAyMWI4YjMxODhhMDAwNjhlOWFlMDgyYmZjODE5ZDhmNDk0OTI5MWMzMzM4YTc=", + created_at=1760144904, + error=None, + incomplete_details=None, + instructions=None, + metadata={}, + model="gpt-5-mini-2025-08-07", + object="response", + output=[reasoning_item, output_message], + parallel_tool_calls=True, + temperature=1.0, + tool_choice="auto", + tools=[], + top_p=1.0, + max_output_tokens=None, + previous_response_id=None, + reasoning={"effort": "low", "summary": "detailed"}, + status="completed", + text={"format": {"type": "text"}, "verbosity": "medium"}, + truncation="disabled", + usage=usage, + user=None, + store=True, + background=False, + billing={"payer": "developer"}, + max_tool_calls=None, + prompt_cache_key=None, + safety_identifier=None, + service_tier="default", + top_logprobs=0, + ) + + # Create empty model_response + model_response = ModelResponse( + id="chatcmpl-42e863c4-7a31-4229-84f3-4c3a6eeb7610", + created=1760144904, + model=None, + object="chat.completion", + system_fingerprint=None, + choices=[], + usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0), + ) + + # Create mock objects for required parameters + logging_obj = Mock() + messages = [{"role": "user", "content": "Think of a poem, and then write it."}] + request_data = {"model": "gpt-5-mini"} + optional_params = {"reasoning_effort": "low", "extra_body": {}} + litellm_params = {"acompletion": False, "api_key": None} + encoding = Mock() + + # Call transform_response + result = handler.transform_response( + model="gpt-5-mini", + raw_response=raw_response, + model_response=model_response, + logging_obj=logging_obj, + request_data=request_data, + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + encoding=encoding, + api_key=None, + json_mode=None, + ) + + # Assertions + assert result.model == "gpt-5-mini" + assert len(result.choices) == 1 + + # Check the choice + choice = result.choices[0] + assert choice.finish_reason == "stop" + assert choice.index == 0 + assert choice.message.role == "assistant" + assert choice.message.content == poem_text + + # Check usage + assert result.usage.prompt_tokens == 16 + assert result.usage.completion_tokens == 195 + assert result.usage.total_tokens == 211 + + # Check reasoning content + assert choice.message.reasoning_content == reasoning_summary.text + + print("✓ transform_response correctly handled reasoning items and output messages") + + +def test_convert_tools_to_responses_format(): + from litellm.completion_extras.litellm_responses_transformation.transformation import ( + LiteLLMResponsesTransformationHandler, + ) + + handler = LiteLLMResponsesTransformationHandler() + + tools = [{"type": "function", "function": {"name": "test", "arguments": "test"}}] + + result = handler._convert_tools_to_responses_format(tools) + + assert result[0]["name"] == "test" diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py index 0476f290a09..bfb2f4bf195 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py @@ -1222,6 +1222,104 @@ class TestMCPServerManager: "Contact proxy admin to allow this tool" in exc_info.value.detail["error"] ) + @pytest.mark.asyncio + async def test_call_tool_without_broken_pipe_error(self): + """ + Test that call_tool properly uses async context manager to avoid broken pipe errors. + This test ensures that tasks are awaited INSIDE the context manager, keeping the connection alive. + """ + from unittest.mock import AsyncMock, MagicMock, patch + + from mcp.types import CallToolResult + + manager = MCPServerManager() + + # Create a test server + server = MCPServer( + server_id="test-server", + name="test-server", + transport=MCPTransport.http, + url="http://test-server.com", + ) + + # Register the server and map a tool to it + manager.registry = {"test-server": server} + manager.tool_name_to_mcp_server_name_mapping["test_tool"] = "test-server" + + # Create mock client that tracks context manager usage + mock_client = MagicMock() + context_entered = False + context_exited = False + call_tool_called_inside_context = False + + async def mock_aenter(self): + nonlocal context_entered + context_entered = True + return self + + async def mock_aexit(self, exc_type, exc_val, exc_tb): + nonlocal context_exited + context_exited = True + # Verify that call_tool was called before context exit + assert ( + call_tool_called_inside_context + ), "call_tool must be awaited inside context manager" + return False + + async def mock_call_tool(params): + nonlocal call_tool_called_inside_context + # Verify we're inside the context when this is called + assert context_entered, "call_tool called outside context manager" + assert not context_exited, "call_tool called after context exit" + call_tool_called_inside_context = True + + # Return a mock CallToolResult + result = MagicMock(spec=CallToolResult) + result.content = [{"type": "text", "text": "Tool executed successfully"}] + result.isError = False + return result + + mock_client.__aenter__ = mock_aenter + mock_client.__aexit__ = mock_aexit + mock_client.call_tool = mock_call_tool + + # Mock _create_mcp_client to return our mock client + manager._create_mcp_client = MagicMock(return_value=mock_client) + + # Mock user auth with no restrictions + user_api_key_auth = MagicMock() + user_api_key_auth.object_permission = None + user_api_key_auth.object_permission_id = None + + # Mock proxy logging + proxy_logging_obj = MagicMock() + proxy_logging_obj._create_mcp_request_object_from_kwargs = MagicMock( + return_value={} + ) + proxy_logging_obj._convert_mcp_to_llm_format = MagicMock(return_value={}) + proxy_logging_obj.pre_call_hook = AsyncMock(return_value={}) + proxy_logging_obj.during_call_hook = AsyncMock(return_value=None) + + # Call the tool + result = await manager.call_tool( + name="test_tool", + arguments={"param": "value"}, + user_api_key_auth=user_api_key_auth, + proxy_logging_obj=proxy_logging_obj, + ) + + # Verify the result + assert result is not None + assert result.isError is False + assert len(result.content) > 0 + + # Verify context manager was used properly + assert context_entered, "Context manager __aenter__ was not called" + assert context_exited, "Context manager __aexit__ was not called" + assert ( + call_tool_called_inside_context + ), "call_tool was not awaited inside context" + if __name__ == "__main__": pytest.main([__file__]) diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py index 37cff2bd94a..0c72c8bb163 100644 --- a/tests/test_litellm/proxy/auth/test_route_checks.py +++ b/tests/test_litellm/proxy/auth/test_route_checks.py @@ -130,22 +130,24 @@ def test_virtual_key_allowed_routes_with_litellm_routes_member_name_denied(): assert "Only allowed to call routes: ['info_routes']" in str(exc_info.value) assert "Tried to call route: /chat/completions" in str(exc_info.value) -@pytest.mark.parametrize("route", [ - "/anthropic/v1/messages", - "/anthropic/v1/count_tokens", - "/gemini/v1/models", - "/gemini/countTokens", -]) + +@pytest.mark.parametrize( + "route", + [ + "/anthropic/v1/messages", + "/anthropic/v1/count_tokens", + "/gemini/v1/models", + "/gemini/countTokens", + ], +) def test_virtual_key_llm_api_route_includes_passthrough_prefix(route): """ Virtual key with llm_api_routes should allow passthrough routes like /anthropic/v1/messages - + Relevant issue: https://github.com/BerriAI/litellm/issues/14017 """ - valid_token = UserAPIKeyAuth( - user_id="test_user", allowed_routes=["llm_api_routes"] - ) + valid_token = UserAPIKeyAuth(user_id="test_user", allowed_routes=["llm_api_routes"]) result = RouteChecks.is_virtual_key_allowed_to_call_route( route=route, valid_token=valid_token @@ -232,7 +234,7 @@ def test_virtual_key_allowed_routes_with_no_member_names_only_explicit(): def test_anthropic_count_tokens_route_is_llm_api_route(): """Test that /v1/messages/count_tokens is recognized as an LLM API route for Anthropic""" - + # Test the core anthropic routes assert RouteChecks.is_llm_api_route("/v1/messages") is True assert RouteChecks.is_llm_api_route("/v1/messages/count_tokens") is True @@ -240,11 +242,11 @@ def test_anthropic_count_tokens_route_is_llm_api_route(): def test_anthropic_count_tokens_route_accessible_to_internal_users(): """Test that internal users can access the Anthropic count_tokens route""" - + # Test that the route is recognized as an LLM API route (which means it's accessible to internal users) # This is the core check that was failing in the original issue assert RouteChecks.is_llm_api_route("/v1/messages/count_tokens") is True - + # Also test that the regular messages route still works assert RouteChecks.is_llm_api_route("/v1/messages") is True @@ -252,7 +254,7 @@ def test_anthropic_count_tokens_route_accessible_to_internal_users(): def test_virtual_key_llm_api_routes_allows_registered_pass_through_endpoints(): """ Test that virtual keys with llm_api_routes permission can access registered pass-through endpoints. - + This tests the scenario where a pass-through endpoint is registered from the DB (e.g., /azure-assistant) and a virtual key with llm_api_routes permission should be able to access both the exact path and subpaths (e.g., /azure-assistant/openai/assistants). @@ -272,7 +274,7 @@ def test_virtual_key_llm_api_routes_allows_registered_pass_through_endpoints(): "type": "subpath", }, } - + with patch( "litellm.proxy.pass_through_endpoints.pass_through_endpoints._registered_pass_through_routes", mock_registered_routes, @@ -282,21 +284,21 @@ def test_virtual_key_llm_api_routes_allows_registered_pass_through_endpoints(): user_id="test_user", allowed_routes=["llm_api_routes"], ) - + # Test exact match for registered pass-through endpoint result1 = RouteChecks.is_virtual_key_allowed_to_call_route( route="/azure-assistant", valid_token=valid_token, ) assert result1 is True - + # Test subpath for registered pass-through endpoint with subpath type result2 = RouteChecks.is_virtual_key_allowed_to_call_route( route="/custom-endpoint/openai/assistants", valid_token=valid_token, ) assert result2 is True - + # Test exact match for subpath type result3 = RouteChecks.is_virtual_key_allowed_to_call_route( route="/custom-endpoint", @@ -319,7 +321,7 @@ def test_virtual_key_without_llm_api_routes_cannot_access_pass_through(): "type": "exact", }, } - + with patch( "litellm.proxy.pass_through_endpoints.pass_through_endpoints._registered_pass_through_routes", mock_registered_routes, @@ -329,12 +331,289 @@ def test_virtual_key_without_llm_api_routes_cannot_access_pass_through(): user_id="test_user", allowed_routes=["info_routes"], ) - + # Test that access is denied with pytest.raises(Exception) as exc_info: RouteChecks.is_virtual_key_allowed_to_call_route( route="/azure-assistant", valid_token=valid_token, ) - + assert "Virtual key is not allowed to call this route" in str(exc_info.value) + + +def test_check_passthrough_route_access_key_metadata_exact_match(): + """Test that key metadata allowed_passthrough_routes allows exact match""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": ["/custom-endpoint"]}, + ) + + # Test exact match + result = RouteChecks.check_passthrough_route_access( + route="/custom-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is True + + +def test_check_passthrough_route_access_key_metadata_prefix_match(): + """Test that key metadata allowed_passthrough_routes allows prefix match""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": ["/custom-endpoint"]}, + ) + + # Test prefix match + result = RouteChecks.check_passthrough_route_access( + route="/custom-endpoint/v1/chat/completions", + user_api_key_dict=valid_token, + ) + + assert result is True + + +def test_check_passthrough_route_access_key_metadata_no_match(): + """Test that key metadata allowed_passthrough_routes denies non-matching routes""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": ["/custom-endpoint"]}, + ) + + # Test non-matching route + result = RouteChecks.check_passthrough_route_access( + route="/other-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False + + +def test_check_passthrough_route_access_team_metadata_exact_match(): + """Test that team metadata allowed_passthrough_routes allows exact match""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in team_metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={}, + team_metadata={"allowed_passthrough_routes": ["/team-endpoint"]}, + ) + + # Test exact match + result = RouteChecks.check_passthrough_route_access( + route="/team-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is True + + +def test_check_passthrough_route_access_team_metadata_prefix_match(): + """Test that team metadata allowed_passthrough_routes allows prefix match""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in team_metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={}, + team_metadata={"allowed_passthrough_routes": ["/team-endpoint"]}, + ) + + # Test prefix match + result = RouteChecks.check_passthrough_route_access( + route="/team-endpoint/v1/messages", + user_api_key_dict=valid_token, + ) + + assert result is True + + +def test_check_passthrough_route_access_team_metadata_no_match(): + """Test that team metadata allowed_passthrough_routes denies non-matching routes""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes in team_metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={}, + team_metadata={"allowed_passthrough_routes": ["/team-endpoint"]}, + ) + + # Test non-matching route + result = RouteChecks.check_passthrough_route_access( + route="/other-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False + + +def test_check_passthrough_route_access_key_metadata_takes_precedence(): + """Test that key metadata takes precedence over team metadata""" + + # Create a UserAPIKeyAuth with different allowed_passthrough_routes in both metadata + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": ["/key-endpoint"]}, + team_metadata={"allowed_passthrough_routes": ["/team-endpoint"]}, + ) + + # Test that key endpoint is allowed + result1 = RouteChecks.check_passthrough_route_access( + route="/key-endpoint", + user_api_key_dict=valid_token, + ) + + # Test that team endpoint is NOT allowed (key metadata takes precedence) + result2 = RouteChecks.check_passthrough_route_access( + route="/team-endpoint", + user_api_key_dict=valid_token, + ) + + assert result1 is True + assert result2 is False + + +def test_check_passthrough_route_access_no_metadata(): + """Test that route is denied when metadata and team_metadata don't have allowed_passthrough_routes""" + + # Create a UserAPIKeyAuth without allowed_passthrough_routes + valid_token = UserAPIKeyAuth( + user_id="test_user", + ) + + # Test that route is denied + result = RouteChecks.check_passthrough_route_access( + route="/any-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False + + +def test_check_passthrough_route_access_no_allowed_passthrough_routes_key(): + """Test that route is denied when allowed_passthrough_routes is not in metadata""" + + # Create a UserAPIKeyAuth with metadata but no allowed_passthrough_routes + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"other_field": "value"}, + team_metadata={}, + ) + + # Test that route is denied + result = RouteChecks.check_passthrough_route_access( + route="/any-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False + + +def test_check_passthrough_route_access_allowed_passthrough_routes_is_none(): + """Test that route is denied when allowed_passthrough_routes is None""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes set to None + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": None}, + team_metadata={"allowed_passthrough_routes": None}, + ) + + # Test that route is denied + result = RouteChecks.check_passthrough_route_access( + route="/any-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False + + +def test_check_passthrough_route_access_multiple_routes(): + """Test that multiple allowed_passthrough_routes work correctly""" + + # Create a UserAPIKeyAuth with multiple allowed_passthrough_routes + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={ + "allowed_passthrough_routes": [ + "/endpoint-1", + "/endpoint-2", + "/endpoint-3", + ] + }, + ) + + # Test that all allowed routes work + result1 = RouteChecks.check_passthrough_route_access( + route="/endpoint-1/v1/chat", + user_api_key_dict=valid_token, + ) + result2 = RouteChecks.check_passthrough_route_access( + route="/endpoint-2", + user_api_key_dict=valid_token, + ) + result3 = RouteChecks.check_passthrough_route_access( + route="/endpoint-3/completions", + user_api_key_dict=valid_token, + ) + + # Test that non-allowed route fails + result4 = RouteChecks.check_passthrough_route_access( + route="/endpoint-4", + user_api_key_dict=valid_token, + ) + + assert result1 is True + assert result2 is True + assert result3 is True + assert result4 is False + + +def test_check_passthrough_route_access_prevents_false_prefix_match(): + """Test that prefix matching doesn't allow false matches like /endpoint vs /endpoint-2""" + + # Create a UserAPIKeyAuth with allowed_passthrough_routes + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": ["/endpoint"]}, + ) + + # Test that /endpoint-2 is NOT allowed (not a valid prefix match) + result = RouteChecks.check_passthrough_route_access( + route="/endpoint-2", + user_api_key_dict=valid_token, + ) + + assert result is False + + # Test that /endpoint/something IS allowed (valid prefix match) + result2 = RouteChecks.check_passthrough_route_access( + route="/endpoint/something", + user_api_key_dict=valid_token, + ) + + assert result2 is True + + +def test_check_passthrough_route_access_empty_list(): + """Test that empty allowed_passthrough_routes list denies all routes""" + + # Create a UserAPIKeyAuth with empty allowed_passthrough_routes + valid_token = UserAPIKeyAuth( + user_id="test_user", + metadata={"allowed_passthrough_routes": []}, + ) + + # Test that route is denied + result = RouteChecks.check_passthrough_route_access( + route="/any-endpoint", + user_api_key_dict=valid_token, + ) + + assert result is False diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py index 1a26f8a39aa..ce90c1ed8ad 100644 --- a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py +++ b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py @@ -670,7 +670,7 @@ async def test_create_pass_through_route_with_cost_per_request(): # Create a proper UserAPIKeyAuth mock mock_user_api_key_dict = MagicMock() mock_user_api_key_dict.api_key = "test-key" - + await endpoint_func( request=mock_request, user_api_key_dict=mock_user_api_key_dict, @@ -747,12 +747,12 @@ async def test_pass_through_request_contains_proxy_server_request_in_kwargs(): """ Test that pass_through_request (parent method) correctly includes proxy_server_request in kwargs passed to the success handler. - - Critical Test: Ensures that when pass_through_request is called, the kwargs passed to + + Critical Test: Ensures that when pass_through_request is called, the kwargs passed to downstream methods contain the proxy server request details (url, method, body). """ print("running test_pass_through_request_contains_proxy_server_request_in_kwargs") - + with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy_logging: with patch( "litellm.proxy.pass_through_endpoints.pass_through_endpoints.HttpPassThroughEndpointHelpers.non_streaming_http_request_handler" @@ -766,38 +766,44 @@ async def test_pass_through_request_contains_proxy_server_request_in_kwargs(): with patch( "litellm.proxy.pass_through_endpoints.pass_through_endpoints.get_response_body" ) as mock_get_response_body: - # Setup mock for pre_call_hook and post_call_failure_hook - mock_proxy_logging.pre_call_hook = AsyncMock(return_value={"test": "data"}) + # Setup mock for pre_call_hook and post_call_failure_hook + mock_proxy_logging.pre_call_hook = AsyncMock( + return_value={"test": "data"} + ) mock_proxy_logging.post_call_failure_hook = AsyncMock() - + # Setup mock for http response mock_response = MagicMock() mock_response.status_code = 200 mock_response.headers = {} - mock_response.aread = AsyncMock(return_value=b'{"success": true}') + mock_response.aread = AsyncMock( + return_value=b'{"success": true}' + ) mock_response.text = '{"success": true}' mock_response.raise_for_status = MagicMock() - + # Mock the HTTP request handler directly mock_http_handler.return_value = mock_response - + # Mock response body parser mock_get_response_body.return_value = {"success": True} - + # Mock headers for custom headers mock_processing.get_custom_headers.return_value = {} - + # Mock success handler to capture kwargs mock_success_handler.return_value = None - + # Create mock request mock_request = MagicMock(spec=Request) mock_request.method = "POST" mock_request.url = "http://test-proxy.com/api/endpoint" - mock_request.body = AsyncMock(return_value=b'{"message": "test request"}') + mock_request.body = AsyncMock( + return_value=b'{"message": "test request"}' + ) mock_request.headers = Headers({}) mock_request.query_params = QueryParams({}) - + # Create mock user API key dict mock_user_api_key_dict = MagicMock() mock_user_api_key_dict.api_key = "test-api-key" @@ -809,7 +815,7 @@ async def test_pass_through_request_contains_proxy_server_request_in_kwargs(): mock_user_api_key_dict.team_alias = "test-team-alias" mock_user_api_key_dict.end_user_id = "test-end-user-id" mock_user_api_key_dict.request_route = "/api/endpoint" - + # Call pass_through_request (the parent method) result = await pass_through_request( request=mock_request, @@ -817,38 +823,38 @@ async def test_pass_through_request_contains_proxy_server_request_in_kwargs(): custom_headers={"X-Custom": "header"}, user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the success handler was called mock_success_handler.assert_called_once() - + # Extract the kwargs passed to the success handler call_kwargs = mock_success_handler.call_args[1] - + # Verify that litellm_params exists in kwargs assert "litellm_params" in call_kwargs litellm_params = call_kwargs["litellm_params"] - + # Verify that proxy_server_request exists in litellm_params assert "proxy_server_request" in litellm_params proxy_server_request = litellm_params["proxy_server_request"] - + # Verify the proxy_server_request contains expected fields assert "url" in proxy_server_request assert "method" in proxy_server_request assert "body" in proxy_server_request - + # Verify the values match the original request assert proxy_server_request["url"] == str(mock_request.url) assert proxy_server_request["method"] == mock_request.method # The body should be the value returned by pre_call_hook, not the original request body assert proxy_server_request["body"] == {"test": "data"} - + # Verify other required kwargs are present assert "call_type" in call_kwargs assert call_kwargs["call_type"] == "pass_through_endpoint" assert "litellm_call_id" in call_kwargs assert "passthrough_logging_payload" in call_kwargs - + # Verify metadata contains user information assert "metadata" in litellm_params metadata = litellm_params["metadata"] @@ -862,7 +868,7 @@ async def test_pass_through_request_contains_proxy_server_request_in_kwargs(): async def test_create_pass_through_endpoint(): """ Test creating a new pass-through endpoint - + This test verifies that the create_pass_through_endpoints function: 1. Accepts a PassThroughGenericEndpoint object 2. Auto-generates an ID if not provided @@ -881,36 +887,38 @@ async def test_create_pass_through_endpoint(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: - with patch("litellm.proxy.proxy_server.update_config_general_settings") as mock_update_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: + with patch( + "litellm.proxy.proxy_server.update_config_general_settings" + ) as mock_update_config: # Mock existing config (empty list) mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=[] + field_name="pass_through_endpoints", field_value=[] ) - + # Create test endpoint data test_endpoint = PassThroughGenericEndpoint( path="/test/endpoint", target="http://example.com/api", headers={"Authorization": "Bearer test-token"}, include_subpath=True, - cost_per_request=0.50 + cost_per_request=0.50, ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the create function result = await create_pass_through_endpoints( - data=test_endpoint, - user_api_key_dict=mock_user_api_key_dict + data=test_endpoint, user_api_key_dict=mock_user_api_key_dict ) - + # Verify the result assert isinstance(result, PassThroughEndpointResponse) assert len(result.endpoints) == 1 - + created_endpoint = result.endpoints[0] assert created_endpoint.path == "/test/endpoint" assert created_endpoint.target == "http://example.com/api" @@ -918,13 +926,13 @@ async def test_create_pass_through_endpoint(): assert created_endpoint.include_subpath is True assert created_endpoint.cost_per_request == 0.50 assert created_endpoint.id is not None # Should be auto-generated - + # Verify database calls mock_get_config.assert_called_once_with( field_name="pass_through_endpoints", - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + mock_update_config.assert_called_once() update_call_args = mock_update_config.call_args[1] assert update_call_args["data"].field_name == "pass_through_endpoints" @@ -937,7 +945,7 @@ async def test_create_pass_through_endpoint(): async def test_update_pass_through_endpoint(): """ Test updating an existing pass-through endpoint - + This test verifies that the update_pass_through_endpoints function: 1. Finds the existing endpoint by ID 2. Updates only the provided fields (partial updates) @@ -957,8 +965,12 @@ async def test_update_pass_through_endpoint(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: - with patch("litellm.proxy.proxy_server.update_config_general_settings") as mock_update_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: + with patch( + "litellm.proxy.proxy_server.update_config_general_settings" + ) as mock_update_config: # Create existing endpoint data existing_endpoint_id = "test-endpoint-123" existing_endpoints = [ @@ -968,53 +980,58 @@ async def test_update_pass_through_endpoint(): "target": "http://example.com/api", "headers": {"Authorization": "Bearer old-token"}, "include_subpath": False, - "cost_per_request": 0.25 + "cost_per_request": 0.25, } ] - + # Mock existing config mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=existing_endpoints + field_name="pass_through_endpoints", field_value=existing_endpoints ) - + # Create update data (partial update) update_data = PassThroughGenericEndpoint( path="/test/endpoint", # Keep same path target="http://newapi.com/v2", # Update target - headers={"Authorization": "Bearer new-token", "X-Custom": "header"}, # Update headers - cost_per_request=0.75 # Update cost + headers={ + "Authorization": "Bearer new-token", + "X-Custom": "header", + }, # Update headers + cost_per_request=0.75, # Update cost # include_subpath not provided - should preserve existing value ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the update function result = await update_pass_through_endpoints( endpoint_id=existing_endpoint_id, data=update_data, - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the result assert isinstance(result, PassThroughEndpointResponse) assert len(result.endpoints) == 1 - + updated_endpoint = result.endpoints[0] assert updated_endpoint.id == existing_endpoint_id # ID preserved assert updated_endpoint.path == "/test/endpoint" assert updated_endpoint.target == "http://newapi.com/v2" # Updated - assert updated_endpoint.headers == {"Authorization": "Bearer new-token", "X-Custom": "header"} # Updated + assert updated_endpoint.headers == { + "Authorization": "Bearer new-token", + "X-Custom": "header", + } # Updated assert updated_endpoint.include_subpath is False # Preserved existing value assert updated_endpoint.cost_per_request == 0.75 # Updated - + # Verify database calls mock_get_config.assert_called_once_with( field_name="pass_through_endpoints", - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + mock_update_config.assert_called_once() update_call_args = mock_update_config.call_args[1] assert update_call_args["data"].field_name == "pass_through_endpoints" @@ -1042,7 +1059,9 @@ async def test_update_pass_through_endpoint_not_found(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: # Mock existing config with different endpoint existing_endpoints = [ { @@ -1051,32 +1070,30 @@ async def test_update_pass_through_endpoint_not_found(): "target": "http://different.com/api", "headers": {}, "include_subpath": False, - "cost_per_request": 0.0 + "cost_per_request": 0.0, } ] - + mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=existing_endpoints + field_name="pass_through_endpoints", field_value=existing_endpoints ) - + # Create update data update_data = PassThroughGenericEndpoint( - path="/test/endpoint", - target="http://newapi.com/v2" + path="/test/endpoint", target="http://newapi.com/v2" ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the update function with non-existent ID with pytest.raises(HTTPException) as exc_info: await update_pass_through_endpoints( endpoint_id="non-existent-endpoint-123", data=update_data, - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the exception assert exc_info.value.status_code == 404 assert "not found" in str(exc_info.value.detail).lower() @@ -1086,7 +1103,7 @@ async def test_update_pass_through_endpoint_not_found(): async def test_delete_pass_through_endpoint(): """ Test deleting an existing pass-through endpoint - + This test verifies that the delete_pass_through_endpoints function: 1. Finds the existing endpoint by ID 2. Removes it from the database @@ -1103,8 +1120,12 @@ async def test_delete_pass_through_endpoint(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: - with patch("litellm.proxy.proxy_server.update_config_general_settings") as mock_update_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: + with patch( + "litellm.proxy.proxy_server.update_config_general_settings" + ) as mock_update_config: # Create existing endpoint data endpoint_to_delete_id = "test-endpoint-123" other_endpoint_id = "other-endpoint-456" @@ -1115,7 +1136,7 @@ async def test_delete_pass_through_endpoint(): "target": "http://example.com/api", "headers": {"Authorization": "Bearer test-token"}, "include_subpath": True, - "cost_per_request": 0.50 + "cost_per_request": 0.50, }, { "id": other_endpoint_id, @@ -1123,29 +1144,28 @@ async def test_delete_pass_through_endpoint(): "target": "http://other.com/api", "headers": {}, "include_subpath": False, - "cost_per_request": 0.25 - } + "cost_per_request": 0.25, + }, ] - + # Mock existing config mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=existing_endpoints + field_name="pass_through_endpoints", field_value=existing_endpoints ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the delete function result = await delete_pass_through_endpoints( endpoint_id=endpoint_to_delete_id, - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the result assert isinstance(result, PassThroughEndpointResponse) assert len(result.endpoints) == 1 - + deleted_endpoint = result.endpoints[0] assert deleted_endpoint.id == endpoint_to_delete_id assert deleted_endpoint.path == "/test/endpoint" @@ -1153,13 +1173,13 @@ async def test_delete_pass_through_endpoint(): assert deleted_endpoint.headers == {"Authorization": "Bearer test-token"} assert deleted_endpoint.include_subpath is True assert deleted_endpoint.cost_per_request == 0.50 - + # Verify database calls mock_get_config.assert_called_once_with( field_name="pass_through_endpoints", - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + mock_update_config.assert_called_once() update_call_args = mock_update_config.call_args[1] assert update_call_args["data"].field_name == "pass_through_endpoints" @@ -1183,7 +1203,9 @@ async def test_delete_pass_through_endpoint_not_found(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: # Mock existing config with different endpoint existing_endpoints = [ { @@ -1192,25 +1214,24 @@ async def test_delete_pass_through_endpoint_not_found(): "target": "http://different.com/api", "headers": {}, "include_subpath": False, - "cost_per_request": 0.0 + "cost_per_request": 0.0, } ] - + mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=existing_endpoints + field_name="pass_through_endpoints", field_value=existing_endpoints ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the delete function with non-existent ID with pytest.raises(HTTPException) as exc_info: await delete_pass_through_endpoints( endpoint_id="non-existent-endpoint-123", - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the exception assert exc_info.value.status_code == 400 assert "not found" in str(exc_info.value.detail).lower() @@ -1229,34 +1250,33 @@ async def test_delete_pass_through_endpoint_empty_list(): ) # Mock the database functions - with patch("litellm.proxy.proxy_server.get_config_general_settings") as mock_get_config: + with patch( + "litellm.proxy.proxy_server.get_config_general_settings" + ) as mock_get_config: # Mock empty config mock_get_config.return_value = ConfigFieldInfo( - field_name="pass_through_endpoints", - field_value=None + field_name="pass_through_endpoints", field_value=None ) - + # Mock user API key dict mock_user_api_key_dict = MagicMock(spec=UserAPIKeyAuth) - + # Call the delete function with pytest.raises(HTTPException) as exc_info: await delete_pass_through_endpoints( - endpoint_id="any-endpoint-123", - user_api_key_dict=mock_user_api_key_dict + endpoint_id="any-endpoint-123", user_api_key_dict=mock_user_api_key_dict ) - + # Verify the exception assert exc_info.value.status_code == 400 assert "no pass-through endpoints setup" in str(exc_info.value.detail).lower() - @pytest.mark.asyncio async def test_pass_through_request_query_params_forwarding(): """ Test that query parameters from the original request are properly forwarded to the target URL. - + This test verifies the fix for the bug where query parameters like api-version were being lost when forwarding requests to Azure OpenAI and other pass-through endpoints. """ @@ -1275,42 +1295,57 @@ async def test_pass_through_request_query_params_forwarding(): ) as mock_get_response_body: # Setup mock for pre_call_hook test_body = {"name": "Azure Assistant", "model": "gpt-4o"} - mock_proxy_logging.pre_call_hook = AsyncMock(return_value=test_body) - + mock_proxy_logging.pre_call_hook = AsyncMock( + return_value=test_body + ) + # Setup mock for http response mock_response = MagicMock() mock_response.status_code = 200 mock_response.headers = {"content-type": "application/json"} - mock_response.aread = AsyncMock(return_value=b'{"id": "asst_123", "object": "assistant"}') + mock_response.aread = AsyncMock( + return_value=b'{"id": "asst_123", "object": "assistant"}' + ) mock_response.text = '{"id": "asst_123", "object": "assistant"}' mock_response.raise_for_status = MagicMock() - + # Mock the HTTP request handler to capture the call mock_http_handler.return_value = mock_response - + # Mock response body parser - mock_get_response_body.return_value = {"id": "asst_123", "object": "assistant"} - + mock_get_response_body.return_value = { + "id": "asst_123", + "object": "assistant", + } + # Mock headers for custom headers mock_processing.get_custom_headers.return_value = {} - + # Mock success handler mock_success_handler.return_value = None - + # Create mock request with query parameters (Azure API version) mock_request = MagicMock(spec=Request) mock_request.method = "POST" - mock_request.url = "http://localhost:4000/azure-assistant/openai/assistants" - mock_request.body = AsyncMock(return_value=json.dumps(test_body).encode()) - mock_request.headers = Headers({"Content-Type": "application/json"}) - + mock_request.url = ( + "http://localhost:4000/azure-assistant/openai/assistants" + ) + mock_request.body = AsyncMock( + return_value=json.dumps(test_body).encode() + ) + mock_request.headers = Headers( + {"Content-Type": "application/json"} + ) + # Create QueryParams with api-version parameter - mock_request.query_params = QueryParams([("api-version", "2025-01-01-preview")]) - + mock_request.query_params = QueryParams( + [("api-version", "2025-01-01-preview")] + ) + # Create mock user API key dict mock_user_api_key_dict = MagicMock() mock_user_api_key_dict.api_key = "sk-1234" - + # Call pass_through_request result = await pass_through_request( request=mock_request, @@ -1318,20 +1353,25 @@ async def test_pass_through_request_query_params_forwarding(): custom_headers={"Authorization": "Bearer azure_token"}, user_api_key_dict=mock_user_api_key_dict, ) - + # Verify the HTTP handler was called mock_http_handler.assert_called_once() - + # Extract the call arguments to verify query parameters were passed call_kwargs = mock_http_handler.call_args[1] - + # The key assertion: query parameters should be preserved and passed to the HTTP handler assert "requested_query_params" in call_kwargs - assert call_kwargs["requested_query_params"] == {"api-version": "2025-01-01-preview"} - + assert call_kwargs["requested_query_params"] == { + "api-version": "2025-01-01-preview" + } + # Verify the target URL is correct - assert str(call_kwargs["url"]) == "https://krris-m2f9a9i7-eastus2.openai.azure.com/openai/assistants" - + assert ( + str(call_kwargs["url"]) + == "https://krris-m2f9a9i7-eastus2.openai.azure.com/openai/assistants" + ) + # Verify the request body is preserved assert call_kwargs["_parsed_body"] == test_body @@ -1356,15 +1396,16 @@ async def test_pass_through_with_httpbin_redirect(): mock_request.method = "GET" mock_request.headers = Headers({}) mock_request.query_params = QueryParams("") - + # Mock the body method to return empty bytes for GET request async def mock_body(): return b"" + mock_request.body = mock_body - + # Mock user API key dict mock_user_api_key_dict = MagicMock() - + try: # Test with httpbin.org redirect endpoint # This will redirect to httpbin.org/get @@ -1372,19 +1413,283 @@ async def test_pass_through_with_httpbin_redirect(): request=mock_request, target="https://httpbin.org/redirect/1", custom_headers={}, - user_api_key_dict=mock_user_api_key_dict + user_api_key_dict=mock_user_api_key_dict, ) - + # Should get the final response (200) from /get endpoint, not the redirect (302) assert response.status_code == 200 - + # The response should be from the /get endpoint - response_content = response.body.decode('utf-8') - + response_content = response.body.decode("utf-8") + # httpbin.org/get returns JSON with info about the request assert '"url": "https://httpbin.org/get"' in response_content print("GOT A Response from HTTPBIN=", response_content) except Exception as e: # If httpbin.org is not accessible, skip the test import pytest + pytest.skip(f"Could not reach httpbin.org for integration test: {e}") + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_with_filter(): + """ + Test that _filter_endpoints_by_team_allowed_routes correctly filters endpoints + when team has allowed_passthrough_routes in metadata + """ + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/allowed1", target="http://example.com/api1" + ), + PassThroughGenericEndpoint( + id="endpoint-2", path="/api/allowed2", target="http://example.com/api2" + ), + PassThroughGenericEndpoint( + id="endpoint-3", path="/api/notallowed", target="http://example.com/api3" + ), + ] + + # Mock prisma client + mock_prisma_client = MagicMock() + mock_team = MagicMock() + mock_team.metadata = { + "allowed_passthrough_routes": ["/api/allowed1", "/api/allowed2"] + } + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock( + return_value=mock_team + ) + + # Call the function + result = await _filter_endpoints_by_team_allowed_routes( + team_id="test-team-123", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Should only return allowed endpoints + assert len(result) == 2 + assert result[0].path == "/api/allowed1" + assert result[1].path == "/api/allowed2" + + # Verify database call + mock_prisma_client.db.litellm_teamtable.find_unique.assert_called_once_with( + where={"team_id": "test-team-123"} + ) + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_team_not_found(): + """ + Test that _filter_endpoints_by_team_allowed_routes raises HTTPException + when team is not found + """ + from fastapi import HTTPException + + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/test", target="http://example.com/api" + ), + ] + + # Mock prisma client to return None (team not found) + mock_prisma_client = MagicMock() + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock(return_value=None) + + # Call the function and expect HTTPException + with pytest.raises(HTTPException) as exc_info: + await _filter_endpoints_by_team_allowed_routes( + team_id="non-existent-team", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Verify the exception + assert exc_info.value.status_code == 404 + assert "Team not found" in str(exc_info.value.detail) + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_no_metadata(): + """ + Test that _filter_endpoints_by_team_allowed_routes returns all endpoints + when team has no metadata + """ + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/test1", target="http://example.com/api1" + ), + PassThroughGenericEndpoint( + id="endpoint-2", path="/api/test2", target="http://example.com/api2" + ), + ] + + # Mock prisma client with team that has None metadata + mock_prisma_client = MagicMock() + mock_team = MagicMock() + mock_team.metadata = None + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock( + return_value=mock_team + ) + + # Call the function + result = await _filter_endpoints_by_team_allowed_routes( + team_id="test-team-123", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Should return all endpoints when no metadata + assert len(result) == 2 + assert result[0].path == "/api/test1" + assert result[1].path == "/api/test2" + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_no_allowed_routes_key(): + """ + Test that _filter_endpoints_by_team_allowed_routes returns all endpoints + when team metadata doesn't have allowed_passthrough_routes key + """ + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/test1", target="http://example.com/api1" + ), + PassThroughGenericEndpoint( + id="endpoint-2", path="/api/test2", target="http://example.com/api2" + ), + ] + + # Mock prisma client with team that has metadata but no allowed_passthrough_routes + mock_prisma_client = MagicMock() + mock_team = MagicMock() + mock_team.metadata = {"some_other_key": "some_value"} + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock( + return_value=mock_team + ) + + # Call the function + result = await _filter_endpoints_by_team_allowed_routes( + team_id="test-team-123", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Should return all endpoints when allowed_passthrough_routes key doesn't exist + assert len(result) == 2 + assert result[0].path == "/api/test1" + assert result[1].path == "/api/test2" + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_empty_allowed_list(): + """ + Test that _filter_endpoints_by_team_allowed_routes returns empty list + when team has empty allowed_passthrough_routes list + """ + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/test1", target="http://example.com/api1" + ), + PassThroughGenericEndpoint( + id="endpoint-2", path="/api/test2", target="http://example.com/api2" + ), + ] + + # Mock prisma client with team that has empty allowed_passthrough_routes + mock_prisma_client = MagicMock() + mock_team = MagicMock() + mock_team.metadata = {"allowed_passthrough_routes": []} + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock( + return_value=mock_team + ) + + # Call the function + result = await _filter_endpoints_by_team_allowed_routes( + team_id="test-team-123", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Should return empty list when allowed_passthrough_routes is empty + assert len(result) == 0 + + +@pytest.mark.asyncio +async def test_filter_endpoints_by_team_allowed_routes_partial_match(): + """ + Test that _filter_endpoints_by_team_allowed_routes correctly filters + when only some endpoints match allowed routes + """ + from litellm.proxy._types import PassThroughGenericEndpoint + from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( + _filter_endpoints_by_team_allowed_routes, + ) + + # Create test endpoints + endpoints = [ + PassThroughGenericEndpoint( + id="endpoint-1", path="/api/openai", target="http://example.com/openai" + ), + PassThroughGenericEndpoint( + id="endpoint-2", + path="/api/anthropic", + target="http://example.com/anthropic", + ), + PassThroughGenericEndpoint( + id="endpoint-3", path="/api/azure", target="http://example.com/azure" + ), + PassThroughGenericEndpoint( + id="endpoint-4", path="/api/cohere", target="http://example.com/cohere" + ), + ] + + # Mock prisma client with team that allows only 2 routes + mock_prisma_client = MagicMock() + mock_team = MagicMock() + mock_team.metadata = {"allowed_passthrough_routes": ["/api/openai", "/api/azure"]} + mock_prisma_client.db.litellm_teamtable.find_unique = AsyncMock( + return_value=mock_team + ) + + # Call the function + result = await _filter_endpoints_by_team_allowed_routes( + team_id="test-team-123", + pass_through_endpoints=endpoints, + prisma_client=mock_prisma_client, + ) + + # Should return only the 2 allowed endpoints + assert len(result) == 2 + assert result[0].path == "/api/openai" + assert result[1].path == "/api/azure" diff --git a/tests/test_litellm/responses/litellm_completion_transformation/test_reasoning_content_transformation.py b/tests/test_litellm/responses/litellm_completion_transformation/test_reasoning_content_transformation.py index 5323589818b..020b5de0a2a 100644 --- a/tests/test_litellm/responses/litellm_completion_transformation/test_reasoning_content_transformation.py +++ b/tests/test_litellm/responses/litellm_completion_transformation/test_reasoning_content_transformation.py @@ -4,14 +4,20 @@ Test reasoning content preservation in Responses API transformation from unittest.mock import AsyncMock -from litellm.types.utils import ModelResponseStream, StreamingChoices, Delta from litellm.responses.litellm_completion_transformation.streaming_iterator import ( LiteLLMCompletionStreamingIterator, ) from litellm.responses.litellm_completion_transformation.transformation import ( LiteLLMCompletionResponsesConfig, ) -from litellm.types.utils import ModelResponse, Choices, Message +from litellm.types.utils import ( + Choices, + Delta, + Message, + ModelResponse, + ModelResponseStream, + StreamingChoices, +) class TestReasoningContentStreaming: @@ -41,6 +47,7 @@ class TestReasoningContentStreaming: mock_stream = AsyncMock() iterator = LiteLLMCompletionStreamingIterator( + model="test-model", litellm_custom_stream_wrapper=mock_stream, request_input="Test input", responses_api_request={}, @@ -78,6 +85,7 @@ class TestReasoningContentStreaming: mock_stream = AsyncMock() iterator = LiteLLMCompletionStreamingIterator( + model="test-model", litellm_custom_stream_wrapper=mock_stream, request_input="Test input", responses_api_request={}, @@ -114,6 +122,7 @@ class TestReasoningContentStreaming: mock_stream = AsyncMock() iterator = LiteLLMCompletionStreamingIterator( + model="test-model", litellm_custom_stream_wrapper=mock_stream, request_input="Test input", responses_api_request={}, @@ -272,6 +281,7 @@ def test_streaming_chunk_id_raw(): ) iterator = LiteLLMCompletionStreamingIterator( + model="test-model", litellm_custom_stream_wrapper=AsyncMock(), request_input="Test input", responses_api_request={}, diff --git a/ui/litellm-dashboard/src/components/common_components/PassThroughRoutesSelector.tsx b/ui/litellm-dashboard/src/components/common_components/PassThroughRoutesSelector.tsx new file mode 100644 index 00000000000..116e3f6aa39 --- /dev/null +++ b/ui/litellm-dashboard/src/components/common_components/PassThroughRoutesSelector.tsx @@ -0,0 +1,69 @@ +import React, { useEffect, useState } from "react"; +import { Select } from "antd"; +import { getPassThroughEndpointsCall } from "../networking"; + +interface PassThroughRoutesSelectorProps { + onChange: (selectedRoutes: string[]) => void; + value?: string[]; + className?: string; + accessToken: string; + placeholder?: string; + disabled?: boolean; + teamId?: string | null; +} + +const PassThroughRoutesSelector: React.FC = ({ + onChange, + value, + className, + accessToken, + placeholder = "Select pass through routes", + disabled = false, + teamId, +}) => { + const [passThroughRoutes, setPassThroughRoutes] = useState([]); + const [loading, setLoading] = useState(false); + + useEffect(() => { + const fetchPassThroughRoutes = async () => { + if (!accessToken) return; + + setLoading(true); + try { + const response = await getPassThroughEndpointsCall(accessToken, teamId); + if (response.endpoints) { + const routes = response.endpoints.map((route: { path: string }) => route.path); + setPassThroughRoutes(routes); + } + } catch (error) { + console.error("Error fetching pass through routes:", error); + } finally { + setLoading(false); + } + }; + + fetchPassThroughRoutes(); + }, [accessToken, teamId]); + + return ( +

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