Anthropic backend working

Add regenerate skill assessment

docker-compose.yml

@@ -15,6 +15,7 @@ services:
       - REDIS_URL=redis://redis:6379
       - REDIS_DB=0
       - SSL_ENABLED=true
+# To use Anthropic, uncomment the following lines and comment out the OpenAI lines      
 #      - DEFAULT_LLM_PROVIDER=anthropic
 #      - MODEL_NAME=claude-3-5-haiku-latest
       - DEFAULT_LLM_PROVIDER=openai

frontend/src/components/JobMatchAnalysis.tsx

@@ -15,10 +15,13 @@ import {
   Button,
   Paper,
   SxProps,
+  Tooltip,
+  IconButton,
 } from '@mui/material';
 import ExpandMoreIcon from '@mui/icons-material/ExpandMore';
 import CheckCircleIcon from '@mui/icons-material/CheckCircle';
 import ErrorIcon from '@mui/icons-material/Error';
+import ModelTrainingIcon from '@mui/icons-material/ModelTraining';
 import PendingIcon from '@mui/icons-material/Pending';
 import WarningIcon from '@mui/icons-material/Warning';
 import { Candidate, SkillAssessment, SkillStatus } from 'types/types';
@@ -261,7 +264,8 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
   const skillMatchHandlers = useMemo(() => {
     return {
       onStatus: (status: Types.ChatMessageStatus): void => {
-        setMatchStatus(status.content.toLowerCase());
+        console.log('Skill Match Status:', status.content);
+        setMatchStatus(status.content);
       },
     };
   }, [setMatchStatus]);
@@ -305,6 +309,7 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
             const request = await apiClient.candidateMatchForRequirement(
               candidate.id || '',
               requirements[i].requirement,
+              false,
               skillMatchHandlers
             );
             const result = await request.promise; /* Wait for the streaming result to complete */
@@ -410,6 +415,64 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
     return <ErrorIcon color="error" />;
   };
 
+  const handleAssesmentRegenerate = async (index: number, skill: string): Promise<void> => {
+    setSkillMatches(prev => {
+      const updated = [...prev];
+      updated[index] = {
+        ...updated[index],
+        status: 'pending',
+        assessment: '',
+        evidenceDetails: [],
+        evidenceStrength: 'none',
+        matchScore: 0,
+      };
+      return updated;
+    });
+    setMatchStatus('Regenerating assessment...');
+    const request = apiClient.candidateMatchForRequirement(
+      candidate.id || '',
+      skill,
+      true,
+      skillMatchHandlers
+    );
+    const result = await request.promise; /* Wait for the streaming result to complete */
+    const skillMatch = result.skillAssessment;
+    setMatchStatus('');
+    setSkillMatches(prev => {
+      const updated = [...prev];
+      updated[index] = {
+        ...skillMatch,
+        status: 'complete',
+        matchScore: calculateScore(skillMatch),
+        domain: updated[index].domain,
+      };
+      return updated;
+    });
+    // Update overall score
+    setSkillMatches(current => {
+      const completedMatches = current.filter(match => match.status === 'complete');
+      if (completedMatches.length > 0) {
+        const newOverallScore =
+          completedMatches.reduce((sum, match) => sum + match.matchScore, 0) /
+          completedMatches.length;
+        setOverallScore(Math.round(newOverallScore));
+      }
+      return current;
+    });
+    setAnalysis({
+      score: overallScore,
+      skills: skillMatches,
+    });
+    onAnalysisComplete &&
+      onAnalysisComplete({
+        score: overallScore,
+        skills: skillMatches,
+      });
+    setStartAnalysis(false);
+    setAnalyzing(false);
+    setFirstRun(false);
+  };
+
   const beginAnalysis = (): void => {
     initializeRequirements(job);
     setStartAnalysis(true);
@@ -595,6 +658,7 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
                         bgcolor: getMatchColor(match.matchScore),
                         color: 'white',
                         minWidth: 90,
+                        pointerEvents: 'none',
                       }}
                     />
                   ) : match.status === 'waiting' ? (
@@ -605,6 +669,7 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
                         bgcolor: 'rgb(189, 173, 85)',
                         color: 'white',
                         minWidth: 90,
+                        pointerEvents: 'none',
                       }}
                     />
                   ) : match.status === 'pending' ? (
@@ -615,6 +680,7 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
                         bgcolor: theme.palette.grey[400],
                         color: 'white',
                         minWidth: 90,
+                        pointerEvents: 'none',
                       }}
                     />
                   ) : (
@@ -625,6 +691,7 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
                         bgcolor: theme.palette.error.main,
                         color: 'white',
                         minWidth: 90,
+                        pointerEvents: 'none',
                       }}
                     />
                   )}
@@ -709,6 +776,19 @@ const JobMatchAnalysis: React.FC<JobAnalysisProps> = (props: JobAnalysisProps) =
                       Skill description
                     </Typography>
                     <Typography paragraph>{match.description}</Typography>
+                    {match.status === 'complete' && (
+                      <Tooltip title="Regenerate Assessment">
+                        <IconButton
+                          size="small"
+                          onClick={(e): void => {
+                            e.stopPropagation();
+                            handleAssesmentRegenerate(index, match.skill);
+                          }}
+                        >
+                          <ModelTrainingIcon />
+                        </IconButton>
+                      </Tooltip>
+                    )}
                     {/* { match.ragResults && match.ragResults.length !== 0 && <>
                           <Typography variant="h6" gutterBottom>
                             RAG Information

frontend/src/components/Message.tsx

@@ -211,11 +211,14 @@ const MessageMeta = (props: MessageMetaProps): JSX.Element => {
     /* MessageData */
     ragResults = [],
     tools = null,
+  } = props.metadata || {};
+  const {
     evalCount = 0,
     evalDuration = 0,
     promptEvalCount = 0,
     promptEvalDuration = 0,
-  } = props.metadata || {};
+  } = props.metadata.usage || {};
+
   const message: ChatMessage | ChatMessageError | ChatMessageStatus = props.messageProps.message;
 
   // let llm_submission = '<|system|>\n';

frontend/src/components/ui/JobsView.tsx

@@ -418,6 +418,7 @@ const JobsView: React.FC<JobsViewProps> = ({
                 </Box>
               </TableCell>
               <TableCell>Description</TableCell>
+              <TableCell>Pay Range</TableCell>
               {!isMobile && (
                 <>
                   <TableCell>Owner</TableCell>
@@ -499,6 +500,10 @@ const JobsView: React.FC<JobsViewProps> = ({
                         {truncateDescription(job.summary || job.description || '', 100)}
                       </Typography>
                     </TableCell>
+                    <TableCell>
+                      {job.payMinimum ? job.payMinimum : 'N/A'}-
+                      {job.payMaximum ? job.payMaximum : 'N/A'}
+                    </TableCell>
                     {!isMobile && (
                       <>
                         <TableCell>

frontend/src/components/ui/TransientChat.tsx

@@ -26,10 +26,12 @@ const emptyMetadata: ChatMessageMetaData = {
   frequencyPenalty: 0,
   presencePenalty: 0,
   stopSequences: [],
+  usage: {
     evalCount: 0,
     evalDuration: 0,
     promptEvalCount: 0,
     promptEvalDuration: 0,
+  },
 };
 
 const defaultMessage: ChatMessage = {

frontend/src/pages/CandidateChatPage.tsx

@@ -32,10 +32,12 @@ const emptyMetadata: ChatMessageMetaData = {
   frequencyPenalty: 0,
   presencePenalty: 0,
   stopSequences: [],
+  usage: {
     evalCount: 0,
     evalDuration: 0,
     promptEvalCount: 0,
     promptEvalDuration: 0,
+  },
 };
 
 const defaultMessage: ChatMessage = {

frontend/src/pages/GenerateCandidate.tsx

@@ -38,10 +38,12 @@ const emptyMetadata: ChatMessageMetaData = {
   frequencyPenalty: 0,
   presencePenalty: 0,
   stopSequences: [],
+  usage: {
     evalCount: 0,
     evalDuration: 0,
     promptEvalCount: 0,
     promptEvalDuration: 0,
+  },
 };
 
 const defaultMessage: ChatMessage = {

frontend/src/services/api-client.ts

@@ -1148,9 +1148,10 @@ class ApiClient {
   candidateMatchForRequirement(
     candidate_id: string,
     requirement: string,
+    regenerate: boolean = false,
     streamingOptions?: StreamingOptions<Types.ChatMessageSkillAssessment>
   ): StreamingResponse<Types.ChatMessageSkillAssessment> {
-    const body = JSON.stringify(requirement);
+    const body = JSON.stringify({ skill: requirement, regenerate });
     streamingOptions = {
       ...streamingOptions,
       headers: this.defaultHeaders,

frontend/src/types/types.ts

@@ -1,6 +1,6 @@
 // Generated TypeScript types from Pydantic models
 // Source: src/backend/models.py
-// Generated on: 2025-07-09T20:57:47.233946
+// Generated on: 2025-07-11T20:02:47.037054
 // DO NOT EDIT MANUALLY - This file is auto-generated
 
 // ============================
@@ -323,10 +323,7 @@ export interface ChatMessageMetaData {
   stopSequences: Array<string>;
   ragResults?: Array<ChromaDBGetResponse>;
   llmHistory?: Array<any>;
-  evalCount: number;
+  usage?: UsageStats;
-  evalDuration: number;
-  promptEvalCount: number;
-  promptEvalDuration: number;
   options?: ChatOptions;
   tools?: Tool;
   timers?: Record<string, number>;
@@ -416,6 +413,14 @@ export interface ChatQuery {
   agentOptions?: Record<string, any>;
 }
 
+export interface ChatResponse {
+  content: string;
+  model: string;
+  finishReason?: string;
+  usage?: UsageStats;
+  usage_dict?: Record<string, number>;
+}
+
 export interface ChatSession {
   id?: string;
   userId?: string;
@@ -714,6 +719,8 @@ export interface Job {
   title?: string;
   summary?: string;
   company?: string;
+  payMinimum?: string;
+  payMaximum?: string;
   description: string;
   requirements?: JobRequirements;
   createdAt?: Date;
@@ -1051,6 +1058,11 @@ export interface SkillAssessment {
   matchScore: number;
 }
 
+export interface SkillMatchRequest {
+  skill: string;
+  regenerate: boolean;
+}
+
 export interface SocialLink {
   platform: "linkedin" | "twitter" | "github" | "dribbble" | "behance" | "website" | "other";
   url: string;
@@ -1060,6 +1072,7 @@ export interface SystemInfo {
   installedRAM: string;
   graphicsCards: Array<GPUInfo>;
   CPU: string;
+  llmBackend: string;
   llmModel: string;
   embeddingModel: string;
   maxContextLength: number;
@@ -1083,6 +1096,20 @@ export interface Tunables {
   enableContext: boolean;
 }
 
+export interface UsageStats {
+  promptTokens?: number;
+  completionTokens?: number;
+  totalTokens?: number;
+  promptEvalCount?: number;
+  promptEvalDuration?: number;
+  evalCount?: number;
+  evalDuration?: number;
+  totalDuration?: number;
+  tokensPerSecond?: number;
+  promptTokensPerSecond?: number;
+  extraStats?: Record<string, any>;
+}
+
 export interface UserActivity {
   id?: string;
   userId?: string;