[codex] Add provider model request profiles

apps/worker/src/five08/worker/crm/skills_extractor.py

@@ -5,6 +5,7 @@
 import re
 from typing import Any
 
+from five08.llm import ProviderModel
 from five08.openai_fallback import FallbackOpenAIClient
 from five08.skills import (
     DISALLOWED_RESUME_SKILLS,
@@ -63,7 +64,12 @@ class SkillsExtractor:
     """Extract skills with LLM when configured, fallback heuristics otherwise."""
 
     def __init__(self) -> None:
-        self.model = settings.resolved_resume_ai_model
+        self.provider_model = ProviderModel.openai_compatible(
+            model=settings.resolved_resume_ai_model,
+            api_key=settings.resolved_resume_ai_api_key,
+            base_url=settings.resolved_resume_ai_base_url,
+        )
+        self.model = self.provider_model.model
         self.client: Any = None
 
         if settings.resolved_resume_ai_provider_attempts and OpenAIClient is not None:
@@ -72,10 +78,7 @@ def __init__(self) -> None:
                 client_factory=OpenAIClient,
             )
         elif settings.resolved_resume_ai_api_key and OpenAIClient is not None:
-            self.client = OpenAIClient(
-                api_key=settings.resolved_resume_ai_api_key,
-                base_url=settings.resolved_resume_ai_base_url,
-            )
+            self.client = OpenAIClient(**self.provider_model.client_kwargs())
 
     def extract_skills(self, resume_text: str) -> ExtractedSkills:
         """Extract skills from resume text."""
@@ -85,26 +88,27 @@ def extract_skills(self, resume_text: str) -> ExtractedSkills:
         prompt = self._create_prompt(resume_text)
         try:
             response = self.client.chat.completions.create(
-                model=self.model,
-                messages=[
-                    {
-                        "role": "system",
-                        "content": (
-                            "You extract professional skills from resumes for a CRM. "
-                            "Focus on white-collar skills for product development orgs: "
-                            "engineering, product, data, design, growth, and marketing. "
-                            "Return JSON only, no prose. "
-                            "Normalize skills to concise canonical names, lowercase. "
-                            "Provide a strength from 1-5 when known, where 5 is strongest. "
-                            "If uncertain, you may omit it or leave it blank. "
-                            "Bias 3 for simple mentions, 4-5 for recent/current project usage, "
-                            "and 1-2 for weak, outdated, or minimal exposure."
-                        ),
-                    },
-                    {"role": "user", "content": prompt},
-                ],
-                temperature=0.1,
-                max_tokens=1200,
+                **self.provider_model.chat_completion_kwargs(
+                    messages=[
+                        {
+                            "role": "system",
+                            "content": (
+                                "You extract professional skills from resumes for a CRM. "
+                                "Focus on white-collar skills for product development orgs: "
+                                "engineering, product, data, design, growth, and marketing. "
+                                "Return JSON only, no prose. "
+                                "Normalize skills to concise canonical names, lowercase. "
+                                "Provide a strength from 1-5 when known, where 5 is strongest. "
+                                "If uncertain, you may omit it or leave it blank. "
+                                "Bias 3 for simple mentions, 4-5 for recent/current project usage, "
+                                "and 1-2 for weak, outdated, or minimal exposure."
+                            ),
+                        },
+                        {"role": "user", "content": prompt},
+                    ],
+                    temperature=0.1,
+                    max_tokens=1200,
+                )
             )
             content = response.choices[0].message.content
             if not content:

packages/shared/pyproject.toml

@@ -32,3 +32,4 @@ packages = ["src/five08"]
 
 [tool.hatch.build.targets.wheel.force-include]
 "src/five08/data/model-profiles.json" = "five08/data/model-profiles.json"
+"src/five08/llm_model_profiles.json" = "five08/llm_model_profiles.json"

packages/shared/src/five08/data/model-profiles.json

@@ -154,6 +154,24 @@
         }
       }
     },
+    "gpt-5.1": {
+      "name": "gpt-5.1",
+      "provider": "openai-compatible",
+      "model": "gpt-5.1",
+      "api_key_env": "OPENAI_API_KEY",
+      "base_url": "https://api.openai.com/v1",
+      "request_options": {
+        "response_format": {
+          "type": "json_object"
+        }
+      },
+      "chat_completion_options": {
+        "max_tokens_parameter": "max_completion_tokens",
+        "reasoning_effort": "low",
+        "verbosity": "low",
+        "supports_temperature": false
+      }
+    },
     "gpt-5": {
       "name": "gpt-5",
       "provider": "openai-compatible",

packages/shared/src/five08/job_match.py

@@ -9,6 +9,7 @@
 from typing import Any
 
 from five08.discord_webhook import DiscordWebhookLogger
+from five08.llm import ProviderModel
 from five08.skills import normalize_skill, normalize_skill_list
 
 logger = logging.getLogger(__name__)
@@ -692,25 +693,31 @@ def rerank_shortlisted_candidates(
     except ImportError as exc:
         raise RuntimeError("openai package is not installed") from exc
 
-    client = _OpenAI(api_key=api_key, base_url=base_url or None)
+    provider_model = ProviderModel.openai_compatible(
+        model=model,
+        api_key=api_key,
+        base_url=base_url or None,
+    )
+    client = _OpenAI(**provider_model.client_kwargs())
     prompt = _build_rerank_prompt(posting_text, requirements, candidates)
 
     try:
         response = client.chat.completions.create(
-            model=model,
-            temperature=0.1,
-            response_format={"type": "json_object"},
-            messages=[
-                {
-                    "role": "system",
-                    "content": (
-                        "You are a senior recruiting coordinator. Rerank a shortlist "
-                        "using only the provided evidence. Return only valid JSON."
-                    ),
-                },
-                {"role": "user", "content": prompt},
-            ],
-            max_tokens=2500,
+            **provider_model.chat_completion_kwargs(
+                temperature=0.1,
+                response_format={"type": "json_object"},
+                messages=[
+                    {
+                        "role": "system",
+                        "content": (
+                            "You are a senior recruiting coordinator. Rerank a shortlist "
+                            "using only the provided evidence. Return only valid JSON."
+                        ),
+                    },
+                    {"role": "user", "content": prompt},
+                ],
+                max_tokens=2500,
+            )
         )
     except Exception as exc:
         logger.error("OpenAI candidate rerank call failed: %s", exc)
@@ -794,27 +801,33 @@ def extract_job_requirements(
     except ImportError as exc:
         raise RuntimeError("openai package is not installed") from exc
 
-    client = _OpenAI(api_key=api_key, base_url=base_url or None)
+    provider_model = ProviderModel.openai_compatible(
+        model=model,
+        api_key=api_key,
+        base_url=base_url or None,
+    )
+    client = _OpenAI(**provider_model.client_kwargs())
 
     hints = _regex_hints(posting_text)
     prompt = _build_prompt(posting_text, hints)
 
     try:
         response = client.chat.completions.create(
-            model=model,
-            temperature=0.1,
-            response_format={"type": "json_object"},
-            messages=[
-                {
-                    "role": "system",
-                    "content": (
-                        "You are a recruiting assistant. Extract structured hiring requirements "
-                        "from job postings. Return only valid JSON."
-                    ),
-                },
-                {"role": "user", "content": prompt},
-            ],
-            max_tokens=2048,
+            **provider_model.chat_completion_kwargs(
+                temperature=0.1,
+                response_format={"type": "json_object"},
+                messages=[
+                    {
+                        "role": "system",
+                        "content": (
+                            "You are a recruiting assistant. Extract structured hiring requirements "
+                            "from job postings. Return only valid JSON."
+                        ),
+                    },
+                    {"role": "user", "content": prompt},
+                ],
+                max_tokens=2048,
+            )
         )
     except Exception as exc:
         logger.error("OpenAI job extraction call failed: %s", exc)